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2024

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combining complementary rough sets, have emerged as a promising approach for handling uncertainty. However, selecting an appropriate model and effectively utilizing it in data mining requires a thorough qualitative and quantitative comparison of existing hybrid data processing models. This research aims to contribute to the analysis of hybrid data processing models based on neighborhood rough sets by investigating the inherent relationships among these models. We propose a generic neighborhood rough set-based hybrid model specifically designed for processing hybrid data, thereby enhancing the efficacy of the data mining process without resorting to discretization and avoiding information loss or practical meaning degradation in datasets. The proposed scheme dynamically adapts the threshold value for the neighborhood approximation space according to the characteristics of the given datasets, ensuring optimal performance without sacrificing accuracy. To evaluate the effectiveness of the proposed scheme, we develop a testbed tailored for Parkinson’s patients, a domain where hybrid data processing is particularly relevant. The experimental results demonstrate that the proposed scheme consistently outperforms existing schemes in adaptively handling both numerical and categorical data, achieving an impressive accuracy of 95% on the Parkinson’s dataset. Overall, this research contributes to advancing hybrid data processing techniques by providing a robust and adaptive solution that addresses the challenges associated with handling hybrid data, particularly in the context of Parkinson’s disease analysis. metadata Raza, Imran and Jamal, Muhammad Hasan and Qureshi, Rizwan and Shahid, Abdul Karim and Rojas Vistorte, Angel Olider and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, angel.rojas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis. Scientific Reports, 14 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés The provision of Wireless Fidelity (Wi-Fi) service in an indoor environment is a crucial task and the decay in signal strength issues arises especially in indoor environments. The Line-of-Sight (LOS) is a path for signal propagation that commonly impedes innumerable indoor objects damage signals and also causes signal fading. In addition, the Signal decay (signal penetration), signal reflection, and long transmission distance between transceivers are the key concerns. The signals lose their power due to the existence of obstacles (path of signals) and hence destroy received signal strength (RSS) between different communicating nodes and ultimately cause loss of the packet. Thus, to solve this issue, herein we propose an advanced model to maximize the LOS in communicating nodes using a modern indoor environment. Our proposal comprised various components for instance signal enhancers, repeaters, reflectors,. these components are connected. The signal attenuation and calculation model comprises of power algorithm and hence it can quickly and efficiently find the walls and corridors as obstacles in an indoor environment. We compared our proposed model with state of the art model using Received Signal Strength (RSS) and Packet Delivery Ratio (PDR) (different scenario) and found that our proposed model is efficient. Our proposed model achieved high network throughput as compared to the state-of-the-art models. metadata Khan, Muhammad Nasir and Waqas, Muhammad and Abbas, Qamar and Qureshi, Ahsan and Amin, Farhan and de la Torre Díez, Isabel and Uc Ríos, Carlos Eduardo and Fabian Gongora, Henry mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.uc@unini.edu.mx, henry.gongora@uneatlantico.es (2024) Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment. PLOS ONE, 19 (7). e0305039. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Public concern regarding health systems has experienced a rapid surge during the last two years due to the COVID-19 outbreak. Accordingly, medical professionals and health-related institutions reach out to patients and seek feedback to analyze, monitor, and uplift medical services. Such views and perceptions are often shared on social media platforms like Facebook, Instagram, Twitter, etc. Twitter is the most popular and commonly used by the researcher as an online platform for instant access to real-time news, opinions, and discussion. Its trending hashtags (#) and viral content make it an ideal hub for monitoring public opinion on a variety of topics. The tweets are extracted using three hashtags #healthcare, #healthcare services, and #medical facilities. Also, location and tweet sentiment analysis are considered in this study. Several recent studies deployed Twitter datasets using ML and DL models, but the results show lower accuracy. In addition, the studies did not perform extensive comparative analysis and lack validation. This study addresses two research questions: first, what are the sentiments of people toward medical services worldwide? and second, how effective are the machine learning and deep learning approaches for the classification of sentiment on healthcare tweets? Experiments are performed using several well-known machine learning models including support vector machine, logistic regression, Gaussian naive Bayes, extra tree classifier, k nearest neighbor, random forest, decision tree, and AdaBoost. In addition, this study proposes a transfer learning-based LSTM-ETC model that effectively predicts the customer’s satisfaction level from the healthcare dataset. Results indicate that despite the best performance by the ETC model with an 0.88 accuracy score, the proposed model outperforms with a 0.95 accuracy score. Predominantly, the people are happy about the provided medical services as the ratio of the positive sentiments is substantially higher than the negative sentiments. The sentiments, either positive or negative, play a crucial role in making important decisions through customer feedback and enhancing quality. metadata Usman, Muhammad and Mujahid, Muhammad and Rustam, Furqan and Soriano Flores, Emmanuel and Vidal Mazón, Juan Luis and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Analyzing patients satisfaction level for medical services using twitter data. PeerJ Computer Science, 10. e1697. ISSN 2376-5992

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés It is recommended to implement the teaching of Basic Life Support (BLS) in schools; however, studies on the best training method are limited and have been a priority in recent years. The objective of this study was to analyze the attitudes and practical skills learned during BLS training using a gamified proposal. A comparative study was carried out, consisting of Compulsory Secondary Education students [control group (CG; classical teaching) and experimental group (EG; gamified proposal)]. The instruments used were the CPR and AED action sequence observation sheet, data from the Laerdal Resusci Anne manikin and AED and Attitude Questionnaire towards Basic Life Support and the Use of the Automated External Defibrillator. Sixty-eight students (33 girls) with a mean age of 13.91 ± 0.70 years were recruited. Results were significantly better in the EG (n = 37) [i.e., breathing control (p = 0.037); call to emergency services (p = 0.049); mean compression depth (p = 0.001); self-confidence (p = 0.006); intention to perform BLS and AED (p = 0.002)]; and significantly better in the CG (n = 31) [Total percentage of CPR (p < 0.001); percentage of correct compression (p < 0.001); time to apply effective shock with AED (p < 0.001); demotivation (p = 0.005). We can conclude that the group that was trained with the training method through the gamified proposal presents better intentions and attitudes to act in the event of cardiac arrest than those of the classic method. This training method allows for similar results in terms of CPR and AED skills to classical teaching, so it should be taken into account as a method for teaching BLS to secondary education students. metadata Rodríguez-García, Adrián and Ruiz-García, Giovanna and Navarro-Patón, Rubén and Mecías-Calvo, Marcos mail adrian.rodriguez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, marcos.mecias@uneatlantico.es (2024) Attitudes and Skills in Basic Life Support after Two Types of Training: Traditional vs. Gamification, of Compulsory Secondary Education Students: A Simulation Study. Pediatric Reports, 16 (3). pp. 631-643. ISSN 2036-7503

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The wheat crop that fulfills 35% of human food demand is facing several problems due to a lack of transparency, security, reliability, and traceability in the existing agriculture supply chain. Many systems have been developed for the agriculture supply chain to overcome such issues, however, monopolistic centralized control is the biggest hurdle to realizing the use of such systems. It has eventually gained consumers’ trust in branded products and rejected other products due to the lack of traceable supply chain information. This study proposes a blockchain-based framework for supply chain traceability which provides trustable, transparent, secure, and reliable services for the wheat crop. A crypto token called wheat coin (WC) has been introduced to keep track of transactions among the stakeholders of the wheat supply chain. Moreover, an initial coin offering (ICO) of WC, crypto wallets, and an economic model are proposed. Furthermore, a smart contract-based transaction system has been devised for the transparency of wheat crop transactions and conversion of WC to fiat and vice versa. We have developed the interplanetary file system (IPFS) to improve data availability, security, and transparency which stores encrypted private data of farmers, businesses, and merchants. Lastly, the results of the experiments show that the proposed framework shows better performance as compared to previous crop supply chain solutions in terms of latency to add-blocks, per-minute transactions, average gas charge for the transaction, and transaction verification time. Performance analysis with Bitcoin and Ethereum shows the superior performance of the proposed system. metadata Alam, Shadab and Farooq, Muhammad Shoaib and Ansari, Zain Khalid and Alvi, Atif and Rustam, Furqan and Díez, Isabel De La Torre and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2024) Blockchain based transparent and reliable framework for wheat crop supply chain. PLOS ONE, 19 (1). e0295036. ISSN 1932-6203

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The aim of the present study was to understand the effect of a multicomponent physical exercise program on the functional physical fitness of older people with overweight or obesity in Chile, and whether these effects were similar in women and men. For this purpose, a quasi-experimental study was designed with a control group to evaluate the functional physical fitness through the Senior Fitness Test battery for older people [SFT; aerobic endurance (AE), lower body strength (LBS), upper body strength (UBS), upper body flexibility (UBF), lower body flexibility (LBF), dynamic balance (DB), and hand pressure strength right (HPSR) and left (HPSL)]. Seventy older people with overweight or obesity aged between 60 and 86 years participated (M = 73.15; SD = 5.94), and were randomized into a control group (CG, n = 35) and an experimental group (EG, n = 35). The results after the intervention between the CG and EG indicated that there were statistically significant differences in the AE (p = 0.036), in the LBS (p = 0.031), and in the LBF (p = 0.017), which did not exist before the intervention (p > 0.050), except in the HPSR (0.029). Regarding the results of the EG (pre vs. post-intervention), statistically significant differences were found in all of the variables studied: AE (p < 0.001), LBS (p < 0.001), UBS (p < 0.001), LBF (p = 0.017), UBF (p < 0.001), DB (p = 0.002), HPSR (p < 0.001), and HPSL (p = 0.012) in both men and women. These improvements did not exist in any of the CG variables (p > 0.05). Based on the results obtained, we can say that a multicomponent physical exercise program applied for 6 months in older people with overweight or obesity produces improvements in functional physical fitness regardless of sex, except in lower body flexibility and left-hand dynamometry. metadata Pleticosic-Ramírez, Yazmina and Velarde-Sotres, Álvaro and Mecías-Calvo, Marcos and Navarro-Patón, Rubén mail yazmina.pleticosic@doctorado.unini.edu.mx, alvaro.velarde@uneatlantico.es, marcos.mecias@uneatlantico.es, UNSPECIFIED (2024) Can the Functional Physical Fitness of Older People with Overweight or Obesity Be Improved through a Multicomponent Physical Exercise Program? A Chilean Population Study. Applied Sciences, 14 (15). p. 6502. ISSN 2076-3417

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Emergency medical services (EMSs) face critical situations that require patient risk classification based on analytical and vital signs. We aimed to establish clustering-derived phenotypes based on prehospital analytical and vital signs that allow risk stratification. This was a prospective, multicenter, EMS-delivered, ambulance-based cohort study considering six advanced life support units, 38 basic life support units, and four tertiary hospitals in Spain. Adults with unselected acute diseases managed by the EMS and evacuated with discharge priority to emergency departments were considered between January 1, 2020, and June 30, 2023. Prehospital point-of-care testing and on-scene vital signs were used for the unsupervised machine learning method (clustering) to determine the phenotypes. Then phenotypes were compared with the primary outcome (cumulative mortality (all-cause) at 2, 7, and 30 days). A total of 7909 patients were included. The median (IQR) age was 64 (51–80) years, 41% were women, and 26% were living in rural areas. Three clusters were identified: alpha 16.2% (1281 patients), beta 28.8% (2279), and gamma 55% (4349). The mortality rates for alpha, beta and gamma at 2 days were 18.6%, 4.1%, and 0.8%, respectively; at 7 days, were 24.7%, 6.2%, and 1.7%; and at 30 days, were 33%, 10.2%, and 3.2%, respectively. Based on standard vital signs and blood test biomarkers in the prehospital scenario, three clusters were identified: alpha (high-risk), beta and gamma (medium- and low-risk, respectively). This permits the EMS system to quickly identify patients who are potentially compromised and to proactively implement the necessary interventions. metadata López-Izquierdo, Raúl and del Pozo Vegas, Carlos and Sanz-García, Ancor and Mayo Íscar, Agustín and Castro Villamor, Miguel A. and Silva Alvarado, Eduardo René and Gracia Villar, Santos and Dzul López, Luis Alonso and Aparicio Obregón, Silvia and Calderón Iglesias, Rubén and Soriano, Joan B. and Martín-Rodríguez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, silvia.aparicio@uneatlantico.es, ruben.calderon@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs. npj Digital Medicine, 7 (1). ISSN 2398-6352

Article Subjects > Biomedicine
Subjects > Social Sciences
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Aim: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. Methods: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. Results: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919–0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832–0.871) and 365-day (AUC = 0.806; 95% CI: 0.778–0.833) mortality. Discussion: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses. metadata Enriquez de Salamanca Gambara, Rodrigo and Sanz-García, Ancor and del Pozo Vegas, Carlos and López-Izquierdo, Raúl and Sánchez Soberón, Irene and Delgado Benito, Juan F. and Martínez Díaz, Raquel and Mazas Pérez-Oleaga, Cristina and Martínez López, Nohora Milena and Dominguez Azpíroz, Irma and Martín-Rodríguez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, raquel.martinez@uneatlantico.es, cristina.mazas@uneatlantico.es, nohora.martinez@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED (2024) A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study. Diagnostics, 14 (12). p. 1292. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
University of La Romana > Research > Scientific Production Abierto Inglés The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels of pollution, and disease occurrences. Traditional methods of bird classification, such as visual identification, were time-intensive and required a high level of expertise. However, audio-based bird species classification is a promising approach that can be used to automate bird species identification. This study aims to establish an audio-based bird species classification system for 264 Eastern African bird species employing modified deep transfer learning. In particular, the pre-trained EfficientNet technique was utilized for the investigation. The study adapts the fine-tune model to learn the pertinent patterns from mel spectrogram images specific to this bird species classification task. The fine-tuned EfficientNet model combined with a type of Recurrent Neural Networks (RNNs) namely Gated Recurrent Unit (GRU) and Long short-term memory (LSTM). RNNs are employed to capture the temporal dependencies in audio signals, thereby enhancing bird species classification accuracy. The dataset utilized in this work contains nearly 17,000 bird sound recordings across a diverse range of species. The experiment was conducted with several combinations of EfficientNet and RNNs, and EfficientNet-B7 with GRU surpasses other experimental models with an accuracy of 84.03% and a macro-average precision score of 0.8342. metadata Shaikh, Asadullah and Baowaly, Mrinal Kanti and Sarkar, Bisnu Chandra and Walid, Md. Abul Ala and Ahamad, Md. Martuza and Singh, Bikash Chandra and Silva Alvarado, Eduardo René and Ashraf, Imran and Samad, Md. Abdus mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, UNSPECIFIED, UNSPECIFIED (2024) Deep transfer learning-based bird species classification using mel spectrogram images. PLOS ONE, 19 (8). e0305708. ISSN 1932-6203

Article Subjects > Engineering
Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Predicting depression intensity from microblogs and social media posts has numerous benefits and applications, including predicting early psychological disorders and stress in individuals or the general public. A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media text. This study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces (APIs). A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the corpus. Furthermore, an algorithm is developed to annotate the data into three depression classes: ‘Mild,’ ‘Moderate,’ and ‘Severe,’ based on International Classification of Diseases-10 (ICD-10) depression diagnostic criteria. Different baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the corpus. Further FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model, which significantly increases the depression classification performance to an 84% F1 score and 90% accuracy compared to baselines. Finally, a FastText-based weighted soft voting ensemble (WSVE) is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual performances. The proposed WSVE outperformed all baselines as well as FastText alone, with an F1 of 89%, 5% higher than FastText alone, and an accuracy of 93%, 3% higher than FastText alone. The proposed model better captures the contextual features of the relatively small sample class and aids in the detection of early depression intensity prediction from tweets with impactful performances. metadata Rizwan, Muhammad and Mushtaq, Muhammad Faheem and Rafiq, Maryam and Mehmood, Arif and Diez, Isabel de la Torre and Gracia Villar, Mónica and Garay, Helena and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, helena.garay@uneatlantico.es, UNSPECIFIED (2024) Depression Intensity Classification from Tweets Using FastText Based Weighted Soft Voting Ensemble. Computers, Materials & Continua, 78 (2). pp. 2047-2066. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate. metadata Islam, Md. Milon and Shafi, Imran and Din, Sadia and Farooq, Siddique and Díez, Isabel de la Torre and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2024) Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing. PLOS ONE, 19 (3). e0298582. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Retinitis pigmentosa (RP) is a group of genetic retinal disorders characterized by progressive vision loss, culminating in blindness. Identifying pigment signs (PS) linked with RP is crucial for monitoring and possibly slowing the disease’s degenerative course. However, the segmentation and detection of PS are challenging due to the difficulty of distinguishing between PS and blood vessels and the variability in size, shape, and color of PS. Recently, advances in deep learning techniques have shown impressive results in medical image analysis, especially in ophthalmology. This study presents an approach for classifying pigment marks in color fundus images of RP using a modified squeeze-and-excitation ResNet (SE-ResNet) architecture. This variant synergizes the efficiency of residual skip connections with the robust attention mechanism of the SE block to amplify feature representation. The SE-ResNet model was fine-tuned to determine the optimal layer configuration that balances performance metrics and computational costs. We trained the proposed model on the RIPS dataset, which comprises images from patients diagnosed at various RP stages. Experimental results confirm the efficacy of the proposed model in classifying different types of pigment signs associated with RP. The model yielded performance metrics, such as accuracy, sensitivity, specificity, and f-measure of 99.16%, 97.70%, 96.93%, 90.47%, 99.37%, 97.80%, 97.44%, and 90.60% on the testing set, based on GT1 & GT2 respectively. Given its performance, this model is an excellent candidate for integration into computer-aided diagnostic systems for RP, aiming to enhance patient care and vision-related healthcare services. metadata Rashid, Rubina and Aslam, Waqar and Mehmood, Arif and Ramírez-Vargas, Debora L. and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2024) A Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images. IEEE Access, 12. pp. 28297-28309. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Requirements specifications written in natural language enable us to understand a program’s intended functionality, which we can then translate into operational software. At varying stages of requirement specification, multiple ambiguities emerge. Ambiguities may appear at several levels including the syntactic, semantic, domain, lexical, and pragmatic levels. The primary objective of this study is to identify requirements’ pragmatic ambiguity. Pragmatic ambiguity occurs when the same set of circumstances can be interpreted in multiple ways. It requires consideration of the context statement of the requirements. Prior research has developed methods for obtaining concepts based on individual nodes, so there is room for improvement in the requirements interpretation procedure. This research aims to develop a more effective model for identifying pragmatic ambiguity in requirement definition. To better interpret requirements, we introduced the Concept Maximum Matching (CMM) technique, which extracts concepts based on edges. The CMM technique significantly improves precision because it permits a more accurate interpretation of requirements based on the relative weight of their edges. Obtaining an F-measure score of 0.754 as opposed to 0.563 in existing models, the evaluation results demonstrate that CMM is a substantial improvement over the previous method. metadata Aslam, Khadija and Iqbal, Faiza and Altaf, Ayesha and Hussain, Naveed and Gracia Villar, Mónica and Soriano Flores, Emmanuel and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Non-Insulin-Dependent Diabetes Mellitus (NIDDM) is a chronic health condition caused by high blood sugar levels, and if not treated early, it can lead to serious complications i.e. blindness. Human Activity Recognition (HAR) offers potential for early NIDDM diagnosis, emerging as a key application for HAR technology. This research introduces DiabSense, a state-of-the-art smartphone-dependent system for early staging of NIDDM. DiabSense incorporates HAR and Diabetic Retinopathy (DR) upon leveraging the power of two different Graph Neural Networks (GNN). HAR uses a comprehensive array of 23 human activities resembling Diabetes symptoms, and DR is a prevalent complication of NIDDM. Graph Attention Network (GAT) in HAR achieved 98.32% accuracy on sensor data, while Graph Convolutional Network (GCN) in the Aptos 2019 dataset scored 84.48%, surpassing other state-of-the-art models. The trained GCN analyzed retinal images of four experimental human subjects for DR report generation, and GAT generated their average duration of daily activities over 30 days. The daily activities in non-diabetic periods of diabetic patients were measured and compared with the daily activities of the experimental subjects, which helped generate risk factors. Fusing risk factors with DR conditions enabled early diagnosis recommendations for the experimental subjects despite the absence of any apparent symptoms. The comparison of DiabSense system outcome with clinical diagnosis reports in the experimental subjects was conducted using the A1C test. The test results confirmed the accurate assessment of early diagnosis requirements for experimental subjects by the system. Overall, DiabSense exhibits significant potential for ensuring early NIDDM treatment, improving millions of lives worldwide. metadata Alam, Md Nuho Ul and Hasnine, Ibrahim and Bahadur, Erfanul Hoque and Masum, Abdul Kadar Muhammad and Briones Urbano, Mercedes and Masías Vergara, Manuel and Uddin, Jia and Ashraf, Imran and Samad, Md. Abdus mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, mercedes.briones@uneatlantico.es, manuel.masias@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network. Journal of Big Data, 11 (1). ISSN 2196-1115

Article Subjects > Biomedicine
Subjects > Nutrition Ibero-american International University > Research > Articles and books Cerrado Inglés Background Aim to this study is to investigate the association of Dietary Counseling, Meal Patterns, and Diet Quality (DietQ) in Patients with Type 2 Diabetes Mellitus (T2DM) with/without chronic kidney disease (CKD) in primary healthcare. Methods Cross-sectional study acquired data on dietary counseling and meal patterns by direct interview with a food-frequency questionnaire and one 24-h food-recall. The Healthy Eating Index (HEI) was used to classify DietQ [“good” DietQ (GDietQ, score ≥ 80) and “poor” DietQ (PDietQ, score < 80)]. Participants/setting This study included 705 patients with T2DM: 306 with normal kidney function; 236 with early nephropathy, and 163 with overt nephropathy (ON). Statistical analyses performed Multivariate linear-regression models for predicting HEI and χ2 tests for qualitative variables and one-way ANOVA for quantitative variables were employed. Mann-Whitney U and independent Student t were performed for comparisons between GDietQ and PDietQ. Results Only 18 % of the population was classified as GDietQ. Patients with ON and PDietQ vs. with GDietQ received significantly less dietary counseling from any health professional in general (45 % vs 72 %, respectively), or from any nutrition professional (36 % vs. 61 %, respectively). A better HEI was significantly predicted (F = 42.01; p = 0.0001) by lower HbA1C (β −0.53, p = 0.0007) and better diet diversity (β 8.09, p = 0.0001). Conclusions Patients with more advanced stages of CKD had less nutritional counseling and worse dietary patterns, as well as more frequent PDietQ. Our findings reinforce the need for dietitians and nutritionists in primary healthcare to provide timely nutritional counseling. metadata Gómez-García, Erika F. and Cueto-Manzano, Alfonso M. and Martínez-Ramírez, Héctor R. and Cortés-Sanabria, Laura and Avesani, Carla M. and Orozco-González, Claudia N. and Rojas-Campos, Enrique mail UNSPECIFIED (2024) Dietary counseling, meal patterns, and diet quality in patients with type 2 diabetes mellitus with/without chronic kidney disease. Journal of Diabetes and its Complications, 38 (10). p. 108853. ISSN 10568727

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés In this study, the phytochemical profile of fifty olive leaves (OL) extracts from Spain, Italy, Greece, Portugal, and Morocco was characterized and their anti-cholinergic, anti-inflammatory, and antioxidant activities were evaluated. Luteolin-7-O-glucoside, isoharmnentin, and apigenin were involved in the acetylcholinesterase (AChE) inhibitory activity, while oleuropein and hydroxytyrosol showed noteworthy potential. Secoiridoids contributed to the cyclooxygenase-2 inhibitory activity and antioxidant capacity. Compounds such as oleuropein, ligstroside and luteolin-7-O-glucoside, may exert an important role in the ferric reducing antioxidant capacity. It should be also highlighted the role of hydroxytyrosol, hydroxycoumarins, and verbascoside concerning the antioxidant activity. This research provides valuable insights and confirms that specific compounds within OL extracts contribute to distinct anti-cholinergic, anti-inflammatory, and anti-oxidative effects. metadata Romero-Márquez, Jose M. and Navarro-Hortal, María D. and Forbes-Hernández, Tamara Y. and Varela-López, Alfonso and Puentes, Juan G. and Sánchez-González, Cristina and Sumalla Cano, Sandra and Battino, Maurizio and García-Ruiz, Roberto and Sánchez, Sebastián and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2024) Effect of olive leaf phytochemicals on the anti-acetylcholinesterase, anti-cyclooxygenase-2 and ferric reducing antioxidant capacity. Food Chemistry, 444. p. 138516. ISSN 03088146

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. This disease is not only infectious among humans, but among animals as well. Malaria causes mild symptoms like fever, headache, sweating and vomiting, and muscle discomfort; severe symptoms include coma, seizures, and kidney failure. The timely identification of malaria parasites is a challenging and chaotic endeavor for health staff. An expert technician examines the schematic blood smears of infected red blood cells through a microscope. The conventional methods for identifying malaria are not efficient. Machine learning approaches are effective for simple classification challenges but not for complex tasks. Furthermore, machine learning involves rigorous feature engineering to train the model and detect patterns in the features. On the other hand, deep learning works well with complex tasks and automatically extracts low and high-level features from the images to detect disease. In this paper, EfficientNet, a deep learning-based approach for detecting Malaria, is proposed that uses red blood cell images. Experiments are carried out and performance comparison is made with pre-trained deep learning models. In addition, k-fold cross-validation is also used to substantiate the results of the proposed approach. Experiments show that the proposed approach is 97.57% accurate in detecting Malaria from red blood cell images and can be beneficial practically for medical healthcare staff. metadata Mujahid, Muhammad and Rustam, Furqan and Shafique, Rahman and Caro Montero, Elizabeth and Silva Alvarado, Eduardo René and de la Torre Diez, Isabel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, elizabeth.caro@uneatlantico.es, eduardo.silva@funiber.org, UNSPECIFIED, UNSPECIFIED (2024) Efficient deep learning-based approach for malaria detection using red blood cell smears. Scientific Reports, 14 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
University of La Romana > Research > Scientific Production Abierto Inglés Humans can carry various diseases, some of which are poorly understood and lack comprehensive solutions. Such a disease can exists in human eye that can affect one or both eyes is diabetic retinopathy (DR) which can impair function, vision, and eventually result in permanent blindness. It is one of those complex complexities. Therefore, early detection of DR can significantly reduce the risk of vision impairment by appropriate treatment and necessary precautions. The primary aim of this study is to leverage cutting-edge models trained on diverse image datasets and propose a CNN model that demonstrates comparable performance. Specifically, we employ transfer learning models such as DenseNet121, Xception, Resnet50, VGG16, VGG19, and InceptionV3, and machine learning models such as SVM, and neural network models like (RNN) for binary and multi-class classification. It has been shown that the proposed approach of multi-label classification with softmax functions and categorical cross-entropy works more effectively, yielding perfect accuracy, precision, and recall values. In particular, Xception achieved an impressive 82% accuracy among all the transfer learning models, setting a new benchmark for the dataset used. However, our proposed CNN model shows superior performance, achieving an accuracy of 95.27% on this dataset, surpassing the state-of-the-art Xception model. Moreover, for single-label (binary classifications), our proposed model achieved perfect accuracy as well. Through exploration of these advances, our objective is to provide a comprehensive overview of the leading methods for the early detection of DR. The aim is to discuss the challenges associated with these methods and highlight potential enhancements. In essence, this paper provides a high-level perspective on the integration of deep learning techniques and machine learning models, coupled with explainable artificial intelligence (XAI) and gradient-weighted class activation mapping (Grad-CAM). We prese... metadata Ahnaf Alavee, Kazi and Hasan, Mehedi and Hasnayen Zillanee, Abu and Mostakim, Moin and Uddin, Jia and Silva Alvarado, Eduardo René and de la Torre Diez, Isabel and Ashraf, Imran and Abdus Samad, Md mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence. IEEE Access, 12. pp. 73950-73969. ISSN 2169-3536

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Inglés Introduction: during the pandemic, an increase in symptoms of depression and anxiety, as well as lifestyle changes in adolescents has been reported. Objectives: to evaluate anxiety and depression symptoms, risky eating behaviors (REB), eating habits and physical activity after the COVID-19 pandemic in Mexican adolescents; to associate the study variables with the development of REB. Methods: a study was performed with a sample of 2,710 adolescents. The Hospital Anxiety and Depression Scale (HADS) and the Questionnaire to measure Risky Eating Behaviors were applied; eating habits and physical activity were evaluated. A Multivariate Logistic Regression analysis was performed to evaluate an association between study variables and REB. Results: it was found that 34.4 % and 47.2 % of the adolescents presented symptoms of depression and anxiety, respectively. Furthermore, 10.6 % had REB and 18.1 % were at risk of REB. The combined prevalence of overweight and obesity was 46.5 %; only 13.1 % of the participants had healthy eating habits and 18.2 % adequate physical activity. Symptoms of depression (p < 0.0001), anxiety (p < 0.0001), higher BMI (p < 0.0001), female sex, excessive consumption of sugary drinks, eating outside the home (p < 0.0001), and lifestyle (p = 0.001) were associated with REB. Conclusions: confinement caused chaos on the lifestyle of adolescents as well as their psychological health. It is essential to develop educational programs that involve government authorities, parents and health agencies to reinforce the topics of healthy eating, physical activity and mental health in the country's secondary schools. metadata Radilla Vázquez, Claudia Cecilia and Sotomayor Terán, Diva Guadalupe and Lazarevich, Irina and Gutiérrez Tolentino, Rey and Leija Alva, Gerardo and Barriguete Meléndez, Jorge Armando mail UNSPECIFIED (2024) Evaluation of depression, anxiety, risky eating behaviors, eating habits and physical activity after the COVID-19 pandemic among adolescents in Mexico City. Nutrición Hospitalaria. ISSN 0212-1611

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés This study explored the impact of varying weight percentages of TiMoVWCr high-entropy alloy (HEA) powder addition on A356 composites produced using friction stir processing (FSP). Unlike previous research that often focused on singular aspects, such as mechanical properties, or microstructural analysis, this investigation systematically examined the multifaceted performance of A356 composites by comprehensively assessing the microstructure, interfacial bonding strength, mechanical properties, and wear behavior. The study identified a uniform distribution of TiMoVWCr HEA powder in the composition A356/2%Ti2%Mo2%V2%W2%Cr, highlighting the effectiveness of the FSP technique in achieving homogeneous dispersion. Strong bonding between the reinforcement and matrix material was observed in the same composition, indicating favorable interfacial characteristics. Mechanical properties, including tensile strength and hardness, were evaluated for various compositions, demonstrating significant improvements across the board. The addition of 2%Ti2%Mo2%V2%W2%Cr powder enhanced the tensile strength by 36.39%, while hardness improved by 62.71%. Similarly, wear resistance showed notable enhancements ranging from 35.56 to 48.89% for different compositions. Microstructural analysis revealed approximately 1640.59 grains per square inch for the A356/2%Ti2%Mo2%V2%W2%Cr processed composite at 500 magnifications. In reinforcing Al composites with Ti, Mo, V, W, and Cr high-entropy alloy (HEA) particles, each element imparted distinct benefits. Titanium (Ti) enhanced strength and wear resistance, molybdenum (Mo) contributed to improved hardness, vanadium (V) promoted hardenability, tungsten (W) enhanced wear resistance, and chromium (Cr) provided wear resistance and hardness. Anticipating the potential applications of the developed composite, the study suggests its suitability for the aerospace sector, particularly in casting lightweight yet high-strength parts such as aircraft components, engine components, and structural components, underlining the significance of the investigated TiMoVWCr HEA powder-modified A356 composites. metadata Dwivedi, Shashi Prakash and Sharma, Shubham and Li, Changhe and Zhang, Yanbin and Singh, Rajesh and Kumar, Abhinav and Awwad, Fuad A. and Khan, M. Ijaz and Ismail, Emad A. A. mail UNSPECIFIED (2024) Exploring Microstructural, Interfacial, Mechanical, and Wear Properties of AlSi7Mg0.3 Composites with TiMOVWCr High-Entropy Alloy Powder. ACS Omega, 9 (17). pp. 18813-18826. ISSN 2470-1343

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés OBJECTIVE: This study aimed to analyze the body composition and somatotype of professional soccer players, investigating variations across categories and playing positions. METHODS: An observational, cross-sectional, and analytical study was conducted with 51 male professional soccer players in the U-19 and U-20 categories. Data about sex, age, height, and weight were collected between March and May 2023. Body composition analysis utilized the ISAK protocol for the restricted profile, while somatotype categorization employed the Heath and Carter formula. Statistical analysis was performed using IBM SPSS Statistics V.26, which involved the application of Mann-Whitney and Kruskal-Wallis tests to discern differences in body composition variables and proportionality based on categories and playing positions. The Dunn test further identified specific positions exhibiting significant differences. RESULTS: The study encompassed 51 players, highlighting meaningful differences in body composition. The average body mass in kg was 75.8 (±6.9) for U-20 players and 70.5 (±6.1) for U-19 players. The somatotype values were 2.6-4.6-2.3 for U-20 players and 2.5-4.3-2.8 for U-19 players, with a predominance of muscle mass in all categories, characterizing them as balanced mesomorphs. CONCLUSIONS: Body composition and somatotype findings underscore distinctions in body mass across categories and playing positions, with notably higher body mass and muscle mass predominance in elevated categories. However, the prevailing skeletal muscle development establishes a significant semblance with the recognized somatotype standard for soccer. metadata Zambrano-Villacres, Raynier and Frias-Toral, Evelyn and Maldonado-Ponce, Emily and Poveda-Loor, Carlos and Leal, Paola and Velarde-Sotres, Álvaro and Leonardi, Alice and Trovato, Bruno and Roggio, Federico and Castorina, Alessandro and Wenxin, Xu and Musumeci, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Exploring body composition and somatotype profiles among youth professional soccer players. Mediterranean Journal of Nutrition and Metabolism, 17 (3). pp. 241-254. ISSN 1973798X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés In contemporary society, depression has emerged as a prominent mental disorder that exhibits exponential growth and exerts a substantial influence on premature mortality. Although numerous research applied machine learning methods to forecast signs of depression. Nevertheless, only a limited number of research have taken into account the severity level as a multiclass variable. Besides, maintaining the equality of data distribution among all the classes rarely happens in practical communities. So, the inevitable class imbalance for multiple variables is considered a substantial challenge in this domain. Furthermore, this research emphasizes the significance of addressing class imbalance issues in the context of multiple classes. We introduced a new approach Feature group partitioning (FGP) in the data preprocessing phase which effectively reduces the dimensionality of features to a minimum. This study utilized synthetic oversampling techniques, specifically Synthetic Minority Over-sampling Technique (SMOTE) and Adaptive Synthetic (ADASYN), for class balancing. The dataset used in this research was collected from university students by administering the Burn Depression Checklist (BDC). For methodological modifications, we implemented heterogeneous ensemble learning stacking, homogeneous ensemble bagging, and five distinct supervised machine learning algorithms. The issue of overfitting was mitigated by evaluating the accuracy of the training, validation, and testing datasets. To justify the effectiveness of the prediction models, balanced accuracy, sensitivity, specificity, precision, and f1-score indices are used. Overall, comprehensive analysis demonstrates the discrimination between the Conventional Depression Screening (CDS) and FGP approach. In summary, the results show that the stacking classifier for FGP with SMOTE approach yields the highest balanced accuracy, with a rate of 92.81%. The empirical evidence has demonstrated that the FGP approach, when combined with the SMOTE, able to produce better performance in predicting the severity of depression. Most importantly the optimization of the training time of the FGP approach for all of the classifiers is a significant achievement of this research. metadata Shaha, Tumpa Rani and Begum, Momotaz and Uddin, Jia and Yélamos Torres, Vanessa and Alemany Iturriaga, Josep and Ashraf, Imran and Samad, Md. Abdus mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vanessa.yelamos@funiber.org, josep.alemany@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms. BMC Medical Research Methodology, 24 (1). ISSN 1471-2288

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Cardiovascular diseases (CVDs) are one of the main causes of mortality and morbidity worldwide. A healthy diet rich in plant-derived compounds such as (poly)phenols appears to have a key role in improving cardiovascular health. Flavan-3-ols represent a subclass of (poly)phenols of great interest for their possible health benefits. In this review, we summarized the results of clinical studies on vascular outcomes of flavan-3-ol supplementation and we focused on the role of the microbiota in CVD. Clinical trials included in this review showed that supplementation with flavan-3-ols mostly derived from cocoa products significantly reduces blood pressure and improves endothelial function. Studies on catechins from green tea demonstrated better results when involving healthy individuals. From a mechanistic point of view, emerging evidence suggests that microbial metabolites may play a role in the observed effects. Their function extends beyond the previous belief of ROS scavenging activity and encompasses a direct impact on gene expression and protein function. Although flavan-3-ols appear to have effects on cardiovascular health, further studies are needed to clarify and confirm these potential benefits and the rising evidence of the potential involvement of the microbiota. metadata Godos, Justyna and Romano, Giovanni Luca and Laudani, Samuele and Gozzo, Lucia and Guerrera, Ida and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Quiles, José L. and Battino, Maurizio and Drago, Filippo and Giampieri, Francesca and Galvano, Fabio and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Flavan-3-ols and Vascular Health: Clinical Evidence and Mechanisms of Action. Nutrients, 16 (15). p. 2471. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés In the last decades, the world population and demand for any kind of product have grown exponentially. The rhythm of production to satisfy the request of the population has become unsustainable and the concept of the linear economy, introduced after the Industrial Revolution, has been replaced by a new economic approach, the circular economy. In this new economic model, the concept of “the end of life” is substituted by the concept of restoration, providing a new life to many industrial wastes. Leaves are a by-product of several agricultural cultivations. In recent years, the scientific interest regarding leaf biochemical composition grew, recording that plant leaves may be considered an alternative source of bioactive substances. Plant leaves’ main bioactive compounds are similar to those in fruits, i.e., phenolic acids and esters, flavonols, anthocyanins, and procyanidins. Bioactive compounds can positively influence human health; in fact, it is no coincidence that the leaves were used by our ancestors as a natural remedy for various pathological conditions. Therefore, leaves can be exploited to manufacture many products in food (e.g., being incorporated in food formulations as natural antioxidants, or used to create edible coatings or films for food packaging), cosmetic and pharmaceutical industries (e.g., promising ingredients in anti-aging cosmetics such as oils, serums, dermatological creams, bath gels, and other products). This review focuses on the leaves’ main bioactive compounds and their beneficial health effects, indicating their applications until today to enhance them as a harvesting by-product and highlight their possible reuse for new potential healthy products. metadata Regolo, Lucia and Giampieri, Francesca and Battino, Maurizio and Armas Diaz, Yasmany and Mezzetti, Bruno and Elexpuru Zabaleta, Maria and Mazas Pérez-Oleaga, Cristina and Tutusaus, Kilian and Mazzoni, Luca mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, maria.elexpuru@uneatlantico.es, cristina.mazas@uneatlantico.es, kilian.tutusaus@uneatlantico.es, UNSPECIFIED (2024) From by-products to new application opportunities: the enhancement of the leaves deriving from the fruit plants for new potential healthy products. Frontiers in Nutrition, 11. ISSN 2296-861X

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Much of nutrition research has been conventionally based on the use of simplistic in vitro systems or animal models, which have been extensively employed in an effort to better understand the relationships between diet and complex diseases as well as to evaluate food safety. Although these models have undeniably contributed to increase our mechanistic understanding of basic biological processes, they do not adequately model complex human physiopathological phenomena, creating concerns about the translatability to humans. During the last decade, extraordinary advancement in stem cell culturing, three-dimensional cell cultures, sequencing technologies, and computer science has occurred, which has originated a wealth of novel human-based and more physiologically relevant tools. These tools, also known as “new approach methodologies,” which comprise patient-derived organoids, organs-on-chip, multi-omics approach, along with computational models and analysis, represent innovative and exciting tools to forward nutrition research from a human-biology-oriented perspective. After considering some shortcomings of conventional in vitro and vivo approaches, here we describe the main novel available and emerging tools that are appropriate for designing a more human-relevant nutrition research. Our aim is to encourage discussion on the opportunity to explore innovative paths in nutrition research and to promote a paradigm-change toward a more human biology-focused approach to better understand human nutritional pathophysiology, to evaluate novel food products, and to develop more effective targeted preventive or therapeutic strategies while helping in reducing the number and replacing animals employed in nutrition research. metadata Cassotta, Manuela and Cianciosi, Danila and Elexpuru Zabaleta, Maria and Elío Pascual, Iñaki and Sumalla Cano, Sandra and Giampieri, Francesca and Battino, Maurizio mail manucassotta@gmail.com, UNSPECIFIED, maria.elexpuru@uneatlantico.es, inaki.elio@uneatlantico.es, sandra.sumalla@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2024) Human‐based new approach methodologies to accelerate advances in nutrition research. Food Frontiers. pp. 1-32. ISSN 2643-8429

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Broccoli has gained popularity as a highly consumed vegetable due to its nutritional and health properties. This study aimed to evaluate the composition profile and the antioxidant capacity of a hydrophilic extract derived from broccoli byproducts, as well as its influence on redox biology, Alzheimer’s disease markers, and aging in the Caenorhabditis elegans model. The presence of glucosinolate was observed and antioxidant capacity was demonstrated both in vitro and in vivo. The in vitro acetylcholinesterase inhibitory capacity was quantified, and the treatment ameliorated the amyloid-β- and tau-induced proteotoxicity in transgenic strains via SOD-3 and SKN-1, respectively, and HSP-16.2 for both parameters. Furthermore, a preliminary study on aging indicated that the extract effectively reduced reactive oxygen species levels in aged worms and extended their lifespan. Utilizing broccoli byproducts for nutraceutical or functional foods could manage vegetable processing waste, enhancing productivity and sustainability while providing significant health benefits. metadata Navarro-Hortal, María D. and Romero-Márquez, Jose M. and López-Bascón, M. Asunción and Sánchez-González, Cristina and Xiao, Jianbo and Sumalla Cano, Sandra and Battino, Maurizio and Forbes-Hernande, Tamara Y. and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, maurizio.battino@uneatlantico.es, tamara.forbes@unini.edu.mx, jose.quiles@uneatlantico.es (2024) In Vitro and In Vivo Insights into a Broccoli Byproduct as a Healthy Ingredient for the Management of Alzheimer’s Disease and Aging through Redox Biology. Journal of Agricultural and Food Chemistry, 72 (10). pp. 5197-5211. ISSN 0021-8561

Article Subjects > Physical Education and Sport Ibero-american International University > Research > Articles and books Abierto Inglés This research aimed to explore the changes produced in body mass index (BMI), fat mass percentage (FMP), muscle mass percentage (MMP), and visceral fat percentage (VFP) in 60-year-old or over overweight or obese people after a multicomponent exercise program. This quasi-experimental study involved 70 overweight or obese older people between 60 and 86 years old (M = 73.15; SD = 5.94) who were randomly assigned to a control group (CG, n = 35) and an experimental group (EG, n = 35). At the beginning and at the end of the intervention program, anthropometric and body composition data were collected. The results showed an increase in BMI after the intervention in the CG (p = 0.010) and a decrease in the EG (p < 0.001). The results regarding the FMP indicate a significant decrease in the EG (p < 0.001) after the intervention, as occurs with the VFP (p = 0.003). The MMP increased in the EG (p < 0.001) after the intervention program. Regarding gender, statistically significant differences were found in the MMP after the intervention (p = 0.025), with higher percentages in men in the EG. VFP decreased in both men (p = 0.005) and women (p = 0.019) in the EG. From the results obtained, we can say that a 6-month multicomponent program produces a decrease in BMI, FMP, and VFP and an increase in MMP in its participants. This type of intervention seems to produce a greater increase in muscle mass in men than in women and a decrease in VFP in both genders. metadata Pleticosic-Ramírez, Yazmina and Mecías-Calvo, Marcos and Arufe-Giráldez, Víctor and Navarro-Patón, Rubén mail yazmina.pleticosic@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Incidence of a Multicomponent Physical Exercise Program on Body Composition in Overweight or Obese People Aged 60 Years or Older from Chile. Journal of Functional Morphology and Kinesiology, 9 (2). p. 81. ISSN 2411-5142

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria. metadata Alemany Iturriaga, Josep and Velarde-Sotres, Álvaro and Jorge, Javier and Giglio, Kamil mail josep.alemany@uneatlantico.es, alvaro.velarde@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria. Cogent Education, 11 (1). ISSN 2331-186X

Article Subjects > Psychology Ibero-american International University > Research > Articles and books Abierto Inglés Introduction: Artificial Intelligence (AI) is transforming multiple sectors within our society, including education. In this context, emotions play a fundamental role in the teaching-learning process given that they influence academic performance, motivation, information retention, and student well-being. Thus, the integration of AI in emotional assessment within educational environments offers several advantages that can transform how we understand and address the socio-emotional development of students. However, there remains a lack of comprehensive approach that systematizes advancements, challenges, and opportunities in this field. Aim: This systematic literature review aims to explore how artificial intelligence (AI) is used to evaluate emotions within educational settings. We provide a comprehensive overview of the current state of research, focusing on advancements, challenges, and opportunities in the domain of AI-driven emotional assessment within educational settings. Method: The review involved a search across the following academic databases: Pubmed, Web of Science, PsycINFO and Scopus. Forty-one articles were selected that meet the established inclusion criteria. These articles were analyzed to extract key insights related to the integration of AI and emotional assessment within educational environments. Results: The findings reveal a variety of AI-driven approaches that were developed to capture and analyze students’ emotional states during learning activities. The findings are summarized in four fundamental topics: (1) emotion recognition in education, (2) technology integration and learning outcomes, (3) special education and assistive technology, (4) affective computing. Among the key AI techniques employed are machine learning and facial recognition, which are used to assess emotions. These approaches demonstrate promising potential in enhancing pedagogical strategies and creating adaptive learning environments that cater to individual emotional needs. The review identified emerging factors that, while important, require further investigation to understand their relationships and implications fully. These elements could significantly enhance the use of AI in assessing emotions within educational settings. Specifically, we are referring to: (1) federated learning, (2) convolutional neural network (CNN), (3) recurrent neural network (RNN), (4) facial expression databases, and (5) ethics in the development of intelligent systems. Conclusion: This systematic literature review showcases the significance of AI in revolutionizing educational practices through emotion assessment. While advancements are evident, challenges related to accuracy, privacy, and cross-cultural validity were also identified. The synthesis of existing research highlights the need for further research into refining AI models for emotion recognition and emphasizes the importance of ethical considerations in implementing AI technologies within educational contexts. metadata Rojas Vistorte, Angel Olider and Deroncele-Acosta, Angel and Martín Ayala, Juan Luis and Barrasa, Angel and López-Granero, Caridad and Martí-González, Mariacarla mail angel.rojas@uneatlantico.es, UNSPECIFIED, juan.martin@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review. Frontiers in Psychology, 15. ISSN 1664-1078

Article Subjects > Physical Education and Sport Ibero-american International University > Research > Articles and books Abierto Inglés Multicomponent exercise is a physical exercise modality in which various physical qualities (strength, cardiorespiratory endurance, flexibility, and balance) are developed with an equal distribution of volume in the same session (approximately 60 min) and that has been little explored in improving the quality of life of older adults. The aim of this study was to verify the effect of multicomponent training on self-perceived quality of life in Chilean overweight or obese older people. To this end, a quasi-experimental study with a control group was designed to evaluate self-perceived Quality of Life using the World Health Organization Quality of Life, brief version [Overall Quality of Life (OQOL); Overall Health (OH); Physical Health (PH); Psychological Health (PsH); Social Relations (SR); Environment (E)]. Seventy overweight or obese people aged between 60 and 86 years participated (M = 73.15; SD = 5.94) and were randomized into a control group (CG, n = 35) and an experimental group (EG, n = 35). The results in the EG (pre vs. post-intervention) indicated that there were statistically significant differences in OQOL (p = 0.005), OH (p = 0.014), PH (p < 0.001), PsH (p < 0.001), E (p = 0.015), and SR (p < 0.001) which were not found in the CG in any of the variables (p > 0.050) except in SR (p < 0.001). Regarding sex, post-intervention differences were only found between CG and EG in women in OQOL (p = 0.002), PH (p < 0.001), PsH (p = 0.003), and SR (p < 0.001), but not in OH or E (p > 0.050). These differences were not found among men in any of the variables (p > 0.050). As a conclusion, we can say that a multicomponent physical exercise program applied for 6 months significantly improves the perception of OQOL, OH, PH, PsH, SR, and E in overweight or obese older people. This perception is greater in men than in women. metadata Pleticosic-Ramírez, Yazmina and Arufe-Giráldez, Víctor and Rodríguez-Negro, Josune and Mecías-Calvo, Marcos and Navarro-Patón, Rubén mail yazmina.pleticosic@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Is It Possible to Improve the Perceived Quality of Life of Overweight or Obese Older People through a Multicomponent Physical Exercise Program? Behavioral Sciences, 14 (7). p. 618. ISSN 2076-328X

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Isoflavones are a group of (poly)phenols, also defined as phytoestrogens, with chemical structures comparable with estrogen, that exert weak estrogenic effects. These phytochemical compounds have been targeted for their proven antioxidant and protective effects. Recognizing the increasing prevalence of cardiovascular diseases (CVD), there is a growing interest in understanding the potential cardiovascular benefits associated with these phytochemical compounds. Gut microbiota may play a key role in mediating the effects of isoflavones on vascular and endothelial functions, as it is directly implicated in isoflavones metabolism. The findings from randomized clinical trials indicate that isoflavone supplementation may exert putative effects on vascular biomarkers among healthy individuals, but not among patients affected by cardiometabolic disorders. These results might be explained by the enzymatic transformation to which isoflavones are subjected by the gut microbiota, suggesting that a diverse composition of the microbiota may determine the diverse bioavailability of these compounds. Specifically, the conversion of isoflavones in equol—a microbiota-derived metabolite—seems to differ between individuals. Further studies are needed to clarify the intricate molecular mechanisms behind these contrasting results. metadata Laudani, Samuele and Godos, Justyna and Romano, Giovanni Luca and Gozzo, Lucia and Di Domenico, Federica Martina and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Giampieri, Francesca and Quiles, José L. and Battino, Maurizio and Drago, Filippo and Galvano, Fabio and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Isoflavones Effects on Vascular and Endothelial Outcomes: How Is the Gut Microbiota Involved? Pharmaceuticals, 17 (2). p. 236. ISSN 1424-8247

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés The prevalence of sleep disorders, characterized by issues with quality, timing, and sleep duration is increasing globally. Among modifiable risk factors, diet quality has been suggested to influence sleep features. The Mediterranean diet is considered a landmark dietary pattern in terms of quality and effects on human health. However, dietary habits characterized by this cultural heritage should also be considered in the context of overall lifestyle behaviors, including sleep habits. This study aimed to systematically revise the literature relating to adherence to the Mediterranean diet and sleep features in observational studies. The systematic review comprised 23 reports describing the relation between adherence to the Mediterranean diet and different sleep features, including sleep quality, sleep duration, daytime sleepiness, and insomnia symptoms. The majority of the included studies were conducted in the Mediterranean basin and reported a significant association between a higher adherence to the Mediterranean diet and a lower likelihood of having poor sleep quality, inadequate sleep duration, excessive daytime sleepiness or symptoms of insomnia. Interestingly, additional studies conducted outside the Mediterranean basin showed a relationship between the adoption of a Mediterranean-type diet and sleep quality, suggesting that biological mechanisms sustaining such an association may exist. In conclusion, current evidence suggests a relationship between adhering to the Mediterranean diet and overall sleep quality and different sleep parameters. The plausible bidirectional association should be further investigated to understand whether the promotion of a healthy diet could be used as a tool to improve sleep quality. metadata Godos, Justyna and Ferri, Raffaele and Lanza, Giuseppe and Caraci, Filippo and Rojas Vistorte, Angel Olider and Yélamos Torres, Vanessa and Grosso, Giuseppe and Castellano, Sabrina mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, angel.rojas@uneatlantico.es, vanessa.yelamos@funiber.org, UNSPECIFIED, UNSPECIFIED (2024) Mediterranean Diet and Sleep Features: A Systematic Review of Current Evidence. Nutrients, 16 (2). p. 282. ISSN 2072-6643

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés New approaches to software testing are required due to the rising complexity of today’s software applications and the rapid growth of software engineering practices. Among these methods, one that has shown promise is the introduction of Natural Language Processing (NLP) tools to software testing practices. NLP has witnessed a rise in popularity within all IT fields, especially in software engineering, where its use has improved the way we extract information from textual data. The goal of this systematic literature review (SLR) is to provide an in-depth analysis of the present body of the literature on the expanding subject of NLP-based software testing. Through a repeatable process, that takes into account the quality of the research, we examined 24 papers extracted from Web of Science and Scopus databases to extract insights about the usage of NLP techniques in the field of software testing. Requirements analysis and test case generation popped up as the most hot topics in the field. We also explored NLP techniques, software testing types, machine/deep learning algorithms, and NLP tools and frameworks used in the studied body of literature. This study also stressed some recurrent open challenges that need further work in future research such as the generalization of the NLP algorithm across domains and languages and the ambiguity in the natural language requirements. Software testing professionals and researchers can get important insights from the findings of this SLR, which will help them comprehend the advantages and challenges of using NLP in software testing. metadata Boukhlif, Mohamed and Hanine, Mohamed and Kharmoum, Nassim and Ruigómez Noriega, Atenea and García Obeso, David and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, atenea.ruigomez@uneatlantico.es, david.garcia@uneatlantico.es, UNSPECIFIED (2024) Natural Language Processing-Based Software Testing: A Systematic Literature Review. IEEE Access, 12. pp. 79383-79400. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The IoT (Internet of Things) has played a promising role in e-healthcare applications during the last decade. Medical sensors record a variety of data and transmit them over the IoT network to facilitate remote patient monitoring. When a patient visits a hospital he may need to connect or disconnect medical devices from the medical healthcare system frequently. Also, multiple entities (e.g., doctors, medical staff, etc.) need access to patient data and require distinct sets of patient data. As a result of the dynamic nature of medical devices, medical users require frequent access to data, which raises complex security concerns. Granting access to a whole set of data creates privacy issues. Also, each of these medical user need to grant access rights to a specific set of medical data, which is quite a tedious task. In order to provide role-based access to medical users, this study proposes a blockchain-based framework for authenticating multiple entities based on the trust domain to reduce the administrative burden. This study is further validated by simulation on the infura blockchain using solidity and Python. The results demonstrate that role-based authorization and multi-entities authentication have been implemented and the owner of medical data can control access rights at any time and grant medical users easy access to a set of data in a healthcare system. The system has minimal latency compared to existing blockchain systems that lack multi-entity authentication and role-based authorization. metadata Alam, Shadab and Aslam, Muhammad Shehzad and Altaf, Ayesha and Iqbal, Faiza and Nigar, Natasha and Castanedo Galán, Juan and Gavilanes Aray, Daniel and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juan.castanedo@uneatlantico.es, daniel.gavilanes@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Novel model to authenticate role-based medical users for blockchain-based IoMT devices. PLOS ONE, 19 (7). e0304774. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed through physical examinations and diagnostic imaging techniques such as chest X-rays, ultrasounds or lung biopsies. Accurate diagnosis is crucial as wrong diagnosis, inadequate treatment or lack of treatment can cause serious consequences for patients and may become fatal. The advancements in deep learning have significantly contributed to aiding medical experts in diagnosing pneumonia by assisting in their decision-making process. By leveraging deep learning models, healthcare professionals can enhance diagnostic accuracy and make informed treatment decisions for patients suspected of having pneumonia. In this study, six deep learning models including CNN, InceptionResNetV2, Xception, VGG16, ResNet50 and EfficientNetV2L are implemented and evaluated. The study also incorporates the Adam optimizer, which effectively adjusts the epoch for all the models. The models are trained on a dataset of 5856 chest X-ray images and show 87.78%, 88.94%, 90.7%, 91.66%, 87.98% and 94.02% accuracy for CNN, InceptionResNetV2, Xception, VGG16, ResNet50 and EfficientNetV2L, respectively. Notably, EfficientNetV2L demonstrates the highest accuracy and proves its robustness for pneumonia detection. These findings highlight the potential of deep learning models in accurately detecting and predicting pneumonia based on chest X-ray images, providing valuable support in clinical decision-making and improving patient treatment. metadata Ali, Mudasir and Shahroz, Mobeen and Akram, Urooj and Mushtaq, Muhammad Faheem and Carvajal-Altamiranda, Stefanía and Aparicio Obregón, Silvia and Díez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, stefania.carvajal@uneatlantico.es, silvia.aparicio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model. IEEE Access, 12. pp. 34691-34707. ISSN 2169-3536

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Cerrado Inglés Leukemia is a type of blood cell cancer that is in the bone marrow’s blood-forming cells. Two types of Leukemia are acute and chronic; acute enhances fast and chronic growth gradually which are further classified into lymphocytic and myeloid leukemias. This work evaluates a unique deep convolutional neural network (CNN) classifier that improves identification precision by carefully examining concatenated peptide patterns. The study uses leukemia protein expression for experiments supporting two different techniques including independence and applied cross-validation. In addition to CNN, multilayer perceptron (MLP), gated recurrent unit (GRU), and recurrent neural network (RNN) are applied. The experimental results show that the CNN model surpasses competitors with its outstanding predictability in independent and cross-validation testing applied on different features extracted from protein expressions such as amino acid composition (AAC) with a group of AAC (GAAC), tripeptide composition (TPC) with a group of TPC (GTPC), and dipeptide composition (DPC) for calculating its accuracies with their receiver operating characteristic (ROC) curve. In independence testing, a feature expression of AAC and a group of GAAC are applied using MLP and CNN modules, and ROC curves are achieved with overall 100% accuracy for the detection of protein patterns. In cross-validation testing, a feature expression on a group of AAC and GAAC patterns achieved 98.33% accuracy which is the highest for the CNN module. Furthermore, ROC curves show a 0.965% extraordinary result for the GRU module. The findings show that the CNN model is excellent at figuring out leukemia illnesses from protein expressions with higher accuracy. metadata Khawaja, Seher Ansar and Farooq, Muhammad Shoaib and Ishaq, Kashif and Alsubaie, Najah and Karamti, Hanen and Caro Montero, Elizabeth and Silva Alvarado, Eduardo René and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, elizabeth.caro@uneatlantico.es, eduardo.silva@funiber.org, UNSPECIFIED (2024) Prediction of leukemia peptides using convolutional neural network and protein compositions. BMC Cancer, 24 (1). ISSN 1471-2407

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés (1) Background: The increasing life expectancy brings an increase in geriatric syndromes, specifically frailty. The literature shows that exercise is a key to preventing, or even reversing, frailty in community-dwelling populations. The main objective is to demonstrate how an intervention based on multicomponent exercise produces an improvement in frailty and pre-frailty in a community-dwelling population. (2) Methods: a prospective observational study of a multicomponent exercise program for geriatric revitalization with people aged over 65 holding Barthel Index scores equal to, or beyond, 90. The program was developed over 30 weeks, three times a week, in sessions lasting 45–50 min each. Frailty levels were registered by the Short Physical Performance Battery, FRAIL Questionnaire Screening Tool, and Timed “Up & Go” at the beginning of the program, 30 weeks later (at the end of the program), and following 13 weeks without training; (3) Results: 360 participants completed the program; a greater risk of frailty was found before the program started among older women living in urban areas, with a more elevated fat percentage, more baseline pathologies, and wider baseline medication use. Furthermore, heterogeneous results were observed both in training periods and in periods without physical activity. However, they are consistent over time and show improvement after training. They show a good correlation between TUG and SPPB; (4) Conclusions: A thirty-week multicomponent exercise program improves frailty and pre-frailty status in a community-dwelling population with no functional decline. Nevertheless, a lack of homogeneity is evident among the various tools used for measuring frailty over training periods and inactivity periods. metadata Morales-Sánchez, Almudena and Calvo Arenillas, José Ignacio and Gutiérrez Palmero, María José and Martín-Conty, José L. and Polonio-López, Begoña and Dzul Lopez, Luis Alonso and Mordillo-Mateos, Laura and Bernal-Jiménez, Juan José and Conty-Serrano, Rosa and Torres-Falguera, Francisca and Martínez Cano, Alfonso and Durantez-Fernández, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) A Prospective Observational Study of Frailty in Geriatric Revitalization Aimed at Community-Dwelling Elderly. Journal of Clinical Medicine, 13 (9). p. 2514. ISSN 2077-0383

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Cardiovascular diseases are among the leading causes of mortality worldwide, with dietary factors being the main risk contributors. Diets rich in bioactive compounds, such as (poly)phenols, have been shown to potentially exert positive effects on vascular health. Among them, resveratrol has gained particular attention due to its potential antioxidant and anti-inflammatory action. Nevertheless, the results in humans are conflicting possibly due to interindividual different responses. The gut microbiota, a complex microbial community that inhabits the gastrointestinal tract, has been called out as potentially responsible for modulating the biological activities of phenolic metabolites in humans. The present review aims to summarize the main findings from clinical trials on the effects of resveratrol interventions on endothelial and vascular outcomes and review potential mechanisms interesting the role of gut microbiota on the metabolism of this molecule and its cardioprotective metabolites. The findings from randomized controlled trials show contrasting results on the effects of resveratrol supplementation and vascular biomarkers without dose-dependent effect. In particular, studies in which resveratrol was integrated using food sources, i.e., red wine, reported significant effects although the resveratrol content was, on average, much lower compared to tablet supplementation, while other studies with often extreme resveratrol supplementation resulted in null findings. The results from experimental studies suggest that resveratrol exerts cardioprotective effects through the modulation of various antioxidant, anti-inflammatory, and anti-hypertensive pathways, and microbiota composition. Recent studies on resveratrol-derived metabolites, such as piceatannol, have demonstrated its effects on biomarkers of vascular health. Moreover, resveratrol itself has been shown to improve the gut microbiota composition toward an anti-inflammatory profile. Considering the contrasting findings from clinical studies, future research exploring the bidirectional link between resveratrol metabolism and gut microbiota as well as the mediating effect of gut microbiota in resveratrol effect on cardiovascular health is warranted. metadata Godos, Justyna and Romano, Giovanni Luca and Gozzo, Lucia and Laudani, Samuele and Paladino, Nadia and Dominguez Azpíroz, Irma and Martínez López, Nohora Milena and Giampieri, Francesca and Quiles, José L. and Battino, Maurizio and Galvano, Fabio and Drago, Filippo and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, nohora.martinez@uneatlantico.es, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Resveratrol and vascular health: evidence from clinical studies and mechanisms of actions related to its metabolites produced by gut microbiota. Frontiers in Pharmacology, 15. ISSN 1663-9812

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés The purpose of the study is to assess the risk of developing general eating disorders (ED), anorexia nervosa (AN), and bulimia nervosa (BN), as well as to examine the effects of gender, academic year, place of residence, faculty, and diet quality on that risk. Over two academic years, 129 first- and fourth-year Uneatlántico students were included in an observational descriptive study. The self-administered tests SCOFF, EAT-26, and BITE were used to determine the participants’ risk of developing ED. The degree of adherence to the Mediterranean diet (MD) was used to evaluate the quality of the diet. Data were collected at the beginning (T1) and at the end (T2) of the academic year. The main results were that at T1, 34.9% of participants were at risk of developing general ED, AN 3.9%, and BN 16.3%. At T2, these percentages were 37.2%, 14.7%, and 8.5%, respectively. At T2, the frequency of general ED in the female group was 2.5 times higher (OR: 2.55, 95% CI: 1.22–5.32, p = 0.012). The low-moderate adherence to the MD students’ group was 0.92 times less frequent than general ED at T2 (OR: 0.921, 95%CI: 0.385–2.20, p < 0.001). The most significant risk factor for developing ED is being a female in the first year of university. Moreover, it appears that the likelihood of developing ED generally increases during the academic year. metadata Eguren García, Imanol and Sumalla Cano, Sandra and Conde González, Sandra and Vila-Martí, Anna and Briones Urbano, Mercedes and Martínez Díaz, Raquel and Elío Pascual, Iñaki mail imanol.eguren@uneatlantico.es, sandra.sumalla@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, mercedes.briones@uneatlantico.es, raquel.martinez@uneatlantico.es, inaki.elio@uneatlantico.es (2024) Risk Factors for Eating Disorders in University Students: The RUNEAT Study. Healthcare, 12 (9). p. 942. ISSN 2227-9032

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Telephysiotherapy has emerged as a vital solution for delivering remote healthcare, particularly in response to global challenges such as the COVID-19 pandemic. This study seeks to enhance telephysiotherapy by developing a system capable of accurately classifying physiotherapeutic exercises using PoseNet, a state-of-the-art pose estimation model. A dataset was collected from 49 participants (35 males, 14 females) performing seven distinct exercises, with twelve anatomical landmarks then extracted using the Google MediaPipe library. Each landmark was represented by four features, which were used for classification. The core challenge addressed in this research involves ensuring accurate and real-time exercise classification across diverse body morphologies and exercise types. Several tree-based classifiers, including Random Forest, Extra Tree Classifier, XGBoost, LightGBM, and Hist Gradient Boosting, were employed. Furthermore, two novel ensemble models called RandomLightHist Fusion and StackedXLightRF are proposed to enhance classification accuracy. The RandomLightHist Fusion model achieved superior accuracy of 99.6%, demonstrating the system’s robustness and effectiveness. This innovation offers a practical solution for providing real-time feedback in telephysiotherapy, with potential to improve patient outcomes through accurate monitoring and assessment of exercise performance. metadata Hussain, Shahzad and Siddiqui, Hafeez Ur Rehman and Saleem, Adil Ali and Raza, Muhammad Amjad and Alemany Iturriaga, Josep and Velarde-Sotres, Álvaro and Díez, Isabel De la Torre and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josep.alemany@uneatlantico.es, alvaro.velarde@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models. Sensors, 24 (19). p. 6325. ISSN 1424-8220

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Cerrado Inglés Chemical modification of guar gum was done by graft copolymerization of monomer hydroxyethyl methacrylate (HEMA) using azobisisobutyronitrile (AIBN) as initiator. Optimal reaction parameters were settled by varying one reaction condition and keeping the other constant. The optimum reaction conditions worked out were solvent system: binary, [H2O] = 15.00 mL, [acetone] = 5.00 mL, [HEMA] = 82.217× 10−2 mol/L, [AIBN] = 3.333 × 10−2 mol/L, reaction time = 3 h, reaction temperature = 60 °C on to 1.00 g guar gum with Pg = 1694.6 and %GE = 68,704.152. Pure guar gum polymer and grafts were analyzed by several physicochemical investigation techniques like FTIR, SEM, XRD, EDX, and swelling studies. Percent swelling of the guar gum polymer and grafts was investigated at pH 2.2, 7.0, 7.4 and 9.4 concerning time. The finest yield of Ps was recorded at pH 9.4 with time 24 h for graft copolymer. Guar gum and grafted samples were explored for the sorption of toxic dye Bismarck brown Y from the aqueous solution with respect to variable contact time, pH, temperature and dye concentration so as to investigate the stimuli responsive sorption behaviour. Graft copolymers showed better results than guar gum with percent dye uptake (Du) of 97.588 % in 24 h contact time, 35 °C temperature, 9.4 pH at 150.00 ppm dye feed concentration as compared to Guar gum which only showed 85.260 % dye uptake at alike dye fed concentration. The kinetic behaviour of the polymeric samples was evaluated by applying many adsorption isotherms and kinetic models. The value of 1/n was between 0 → 1 showing that there was physisorption of the BB dye that took place on the surface of the polymers. Thermodynamics of BB Y adsorption onto hydrogels was investigated concerning the Van't Hoff equation. -∆G° values obtained from the curve proved the spontanity of the process. Within the context of adsorption efficiency, an investigation was conducted to examine the process of sorption of Bismarck brown Y dye from aqueous solutions. The graft copolymers demonstrated remarkable adsorption abilities, achieving a dye uptake (Du) of 97.588 % over a 24-h period at a temperature of 35 °C, pH level of 9.4, and a dye concentration of 150.00 ppm. The raised adsorption capacity was additionally corroborated by the application of several adsorption isotherms and kinetic models, which indicated that physisorption is the prevailing process/mechanism. Additionally, the thermodynamic research, utilising the Van't Hoff equation, validated the spontaneity of the adsorption phenomenon, as evidenced by the presence of a negative ∆G° values. The thermodynamic analysis revealed herein establishes a strong scientific foundation for the effectiveness of adsorbent composed of graft copolymers based on guar gum. The research conclude the efficiency of the guar gum based grafted copolymers for the water remediation as efficient adsorbents. The captured dye can be re-utilised and the hydrogels can be used for the same purpose in number of cycles. metadata Chopra, Lalita and Sharma, Anika and Chohan, Jasgurpreet Singh and Upadhyay, Viyat Varun and Singh, Rajesh and Sharma, Shubham and Dwivedi, Shashi Prakash and Kumar, Abhinav and Tag-Eldin, Elsayed M. mail UNSPECIFIED (2024) Synthesis and characterizations of super adsorbent hydrogel based on biopolymer, Guar Gum-grafted-Poly (hydroxyethyl methacrylate) (Gg-g-Poly (HEMA)) for the removal of Bismarck brown Y dye from aqueous solution. International Journal of Biological Macromolecules, 256. p. 128518. ISSN 01418130

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence can enable effective detection of driver drowsiness, helping to prevent accidents and enhance driver performance. This research aims to address the crucial need for real-time and accurate drowsiness detection to mitigate the impact of fatigue-related accidents. Leveraging ultra-wideband radar data collected over five minutes, the dataset was segmented into one-minute chunks and transformed into grayscale images. Spatial features are retrieved from the images using a two-dimensional Convolutional Neural Network. Following that, these features were used to train and test multiple machine learning classifiers. The ensemble classifier RF-XGB-SVM, which combines Random Forest, XGBoost, and Support Vector Machine using a hard voting criterion, performed admirably with an accuracy of 96.6%. Additionally, the proposed approach was validated with a robust k-fold score of 97% and a standard deviation of 0.018, demonstrating significant results. The dataset is augmented using Generative Adversarial Networks, resulting in improved accuracies for all models. Among them, the RF-XGB-SVM model outperformed the rest with an accuracy score of 99.58%. metadata Siddiqui, Hafeez Ur Rehman and Akmal, Ambreen and Iqbal, Muhammad and Saleem, Adil Ali and Raza, Muhammad Amjad and Zafar, Kainat and Zaib, Aqsa and Dudley, Sandra and Arambarri, Jon and Kuc Castilla, Ángel Gabriel and Rustam, Furqan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jon.arambarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. Sensors, 24 (12). p. 3754. ISSN 1424-8220

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Over the last decades, the Mediterranean diet gained enormous scientific, social, and commercial attention due to proven positive effects on health and undeniable taste that facilitated a widespread popularity. Researchers have investigated the role of Mediterranean-type dietary patterns on human health all around the world, reporting consistent findings concerning its benefits. However, what does truly define the Mediterranean diet? The myriad of dietary scores synthesizes the nutritional content of a Mediterranean-type diet, but a variety of aspects are generally unexplored when studying the adherence to this dietary pattern. Among dietary factors, the main characteristics of the Mediterranean diet, such as consumption of fruit and vegetables, olive oil, and cereals should be accompanied by other underrated features, such as the following: (i) specific reference to whole-grain consumption; (ii) considering the consumption of legumes, nuts, seeds, herbs and spices often untested when exploring the adherence to the Mediterranean diet; (iii) consumption of eggs and dairy products as common foods consumed in the Mediterranean region (irrespectively of the modern demonization of dietary fat intake). Another main feature of the Mediterranean diet includes (red) wine consumption, but more general patterns of alcohol intake are generally unmeasured, lacking specificity concerning the drinking occasion and intensity (i.e., alcohol drinking during meals). Among other underrated aspects, cooking methods are rather simple and yet extremely varied. Several underrated aspects are related to the quality of food consumed when the Mediterranean diet was first investigated: foods are locally produced, minimally processed, and preserved with more natural methods (i.e., fermentation), strongly connected with the territory with limited and controlled impact on the environment. Dietary habits are also associated with lifestyle behaviors, such as sleeping patterns, and social and cultural values, favoring commensality and frugality. In conclusion, it is rather reductive to consider the Mediterranean diet as just a pattern of food groups to be consumed decontextualized from the social and geographical background of Mediterranean culture. While the methodologies to study the Mediterranean diet have demonstrated to be useful up to date, a more holistic approach should be considered in future studies by considering the aforementioned underrated features and values to be potentially applied globally through the concept of a “Planeterranean” diet. metadata Godos, Justyna and Scazzina, Francesca and Paternò Castello, Corrado and Giampieri, Francesca and Quiles, José L. and Briones Urbano, Mercedes and Battino, Maurizio and Galvano, Fabio and Iacoviello, Licia and de Gaetano, Giovanni and Bonaccio, Marialaura and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, mercedes.briones@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Underrated aspects of a true Mediterranean diet: understanding traditional features for worldwide application of a “Planeterranean” diet. Journal of Translational Medicine, 22 (1). ISSN 1479-5876

Article Subjects > Biomedicine Ibero-american International University > Research > Articles and books Abierto Inglés The law of superposition underpins first-order linear pharmacokinetic relationships. Most drugs, therefore, after a single dose can be described by first-order or linear processes, which can be superposed to understand multiple-dose regimen behavior. However, there are a number of situations where drugs could display behaviors after multiple dosing that leads to capacity-limited or saturation non-linear kinetics and the law of superposition is overruled. This review presents a practical guide to understand the equations and calculations for single and multiple-dosing regimens after intravenous and oral administration. It also provides the pharmaceutical basis for saturation in ADME processes and the consequent changes in the area under the concentration–time curve, which represents drug exposure that can lead to the modulation of efficacy and/or toxic effects. The pharmacokineticist must implicitly understand the principles of superposition, which are a central tenet of drug behavior and disposition during drug development. metadata Yousef, Malaz and Yáñez, Jaime A. and Löbenberg, Raimar and Davies, Neal M. mail UNSPECIFIED, jaime.yanez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2024) Upholding or Breaking the Law of Superposition in Pharmacokinetics. Biomedicines, 12 (8). p. 1843. ISSN 2227-9059

Article Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés Introduction: Trait driving anger is a widely studied personality variable in the field of road safety, due to its strong relationship with both risky behavior on the road and crash-related events. The Deffenbacher’s Driving Anger Scale theoretical approach has underlined different situations that could provoke anger in drivers, although trait driving anger is usually analyzed as a whole. Trait general anger has been proposed as one of the most relevant predictors of trait driving anger, showing moderate relationships with it. Method: The current research aimed to analyze the relationship between trait general anger and each one of the situations provoking anger, as well as to search for personality variables that could moderate these relationships. Based on literature review, it was expected that self-esteem would moderate both Discourtesy and Hostile gestures, Type-A behavior pattern would moderate both Slow driving and Traffic obstructions, and conscientiousness would moderate both Police presence and Illegal driving. A sample of 417 drivers (Mage = 31.24, SDage = 13.59, 64.5% females) taken from the Spanish general population completed a set of self-reports. Results: The results showed significant moderation effects in the case of Hostile gestures, Discourtesy, Illegal driving, and Slow driving. Conditional processes of these moderations were analyzed. Lastly, practical implications are discussed, allowing for tailored interventions to be implemented based on individual drivers' tendencies. Therefore, interventions should address different triggers of driving anger: boosting self-esteem for those angered by disrespect, targeting Type-A behavior reduction for those angered by traffic slowdowns, and promoting conscientiousness enhancement for those angered by others' risky driving. metadata Herrero-Fernández, David and Bogdan-Ganea, Smaranda R. and Álvarez Ferradas, Carla and Martín Ayala, Juan Luis mail david.herrero@uneatlantico.es, UNSPECIFIED, carla.alvarez@uneatlantico.es, juan.martin@uneatlantico.es (2024) Which drivers drive as they live and who are transformed while driving? Analysis of moderators in the relationship between general anger and driving anger. Journal of Safety Research, 90. pp. 295-305. ISSN 00224375

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Magazines
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Named Entity Recognition (NER) is a natural language processing task that has been widely explored for different languages in the recent decade but is still an under-researched area for the Urdu language due to its rich morphology and language complexities. Existing state-of-the-art studies on Urdu NER use various deep-learning approaches through automatic feature selection using word embeddings. This paper presents a deep learning approach for Urdu NER that harnesses FastText and Floret word embeddings to capture the contextual information of words by considering the surrounding context of words for improved feature extraction. The pre-trained FastText and Floret word embeddings are publicly available for Urdu language which are utilized to generate feature vectors of four benchmark Urdu language datasets. These features are then used as input to train various combinations of Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), CRF, and deep learning models. The results show that our proposed approach significantly outperforms existing state-of-the-art studies on Urdu NER, achieving an F-score of up to 0.98 when using BiLSTM+GRU with Floret embeddings. Error analysis shows a low classification error rate ranging from 1.24% to 3.63% across various datasets showing the robustness of the proposed approach. The performance comparison shows that the proposed approach significantly outperforms similar existing studies. metadata Khan, Hikmat Ullah and Anam, Rimsha and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Bajwa, Usama Ijaz and Diez, Isabel de la Torre and Silva Alvarado, Eduardo René and Soriano Flores, Emmanuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, emmanuel.soriano@uneatlantico.es, UNSPECIFIED (2024) A deep learning approach for Named Entity Recognition in Urdu language. PLOS ONE, 19 (3). e0300725. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The essence of quantum machine learning is to optimize problem-solving by executing machine learning algorithms on quantum computers and exploiting potent laws such as superposition and entanglement. Support vector machine (SVM) is widely recognized as one of the most effective classification machine learning techniques currently available. Since, in conventional systems, the SVM kernel technique tends to sluggish down and even fail as datasets become increasingly complex or jumbled. To compare the execution time and accuracy of conventional SVM classification to that of quantum SVM classification, the appropriate quantum features for mapping need to be selected. As the dataset grows complex, the importance of selecting an appropriate feature map that outperforms or performs as well as the classification grows. This paper utilizes conventional SVM to select an optimal feature map and benchmark dataset for predicting air quality. Experimental evidence demonstrates that the precision of quantum SVM surpasses that of classical SVM for air quality assessment. Using quantum labs from IBM’s quantum computer cloud, conventional and quantum computing have been compared. When applied to the same dataset, the conventional SVM achieved an accuracy of 91% and 87% respectively, whereas the quantum SVM demonstrated an accuracy of 97% and 94% respectively for air quality prediction. The study introduces the use of quantum Support Vector Machines (SVM) for predicting air quality. It emphasizes the novel method of choosing the best quantum feature maps. Through the utilization of quantum-enhanced feature mapping, our objective is to exceed the constraints of classical SVM and achieve unparalleled levels of precision and effectiveness. We conduct precise experiments utilizing IBM’s state-of-the-art quantum computer cloud to compare the performance of conventional and quantum SVM algorithms on a shared dataset. metadata Farooq, Omer and Shahid, Maida and Arshad, Shazia and Altaf, Ayesha and Iqbal, Faiza and Vera, Yini Airet Miro and Flores, Miguel Angel Lopez and Ashraf, Imran mail UNSPECIFIED (2024) An enhanced approach for predicting air pollution using quantum support vector machine. Scientific Reports, 14 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Video content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels. YouTube revealed at a recent press event that 30,000 new content videos per hour and 720,000 per day are posted. There is a need for an advanced deep learning-based approach to categorize the huge database of YouTube videos. This study aims to develop an artificial intelligence-based approach to categorize YouTube videos. This study analyzes the textual information related to videos like titles, descriptions, user tags, etc. using YouTube exploratory data analysis (YEDA) and shows that such information can be potentially used to categorize videos. A deep convolutional neural network (DCNN) is designed to categorize YouTube videos with efficiency and high accuracy. In addition, recurrent neural network (RNN), and gated recurrent unit (GRU) are also employed for performance comparison. Moreover, logistic regression, support vector machines, decision trees, and random forest models are also used. A large dataset with 9 classes is used for experiments. Experimental findings indicate that the proposed DCNN achieves the highest receiver operating characteristics (ROC) area under the curve (AUC) score of 99% in the context of YouTube video categorization and 96% accuracy which is better than existing approaches. The proposed approach can be used to help YouTube users suggest relevant videos and sort them by video category. metadata Raza, Ali and Younas, Faizan and Siddiqui, Hafeez Ur Rehman and Rustam, Furqan and Gracia Villar, Mónica and Silva Alvarado, Eduardo René and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, eduardo.silva@funiber.org, UNSPECIFIED (2024) An improved deep convolutional neural network-based YouTube video classification using textual features. Heliyon, 10 (16). e35812. ISSN 24058440

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Air-writing is a widely used technique for writing arbitrary characters or numbers in the air. In this study, a data collection technique was developed to collect hand motion data for Bengali air-writing, and a motion sensor-based data set was prepared. The feature set as then utilized to determine the most effective machine learning (ML) model among the existing well-known supervised machine learning models to classify Bengali characters from air-written data. Our results showed that medium Gaussian SVM had the highest accuracy (96.5%) in the classification of Bengali character from air writing data. In addition, the proposed system achieved over 81% accuracy in real-time classification. The comparison with other studies showed that the existing supervised ML models predicted the created data set more accurately than many other models that have been suggested for other languages. metadata Kader, Mohammed Abdul and Ullah, Muhammad Ahsan and Islam, Md Saiful and Ferriol Sánchez, Fermín and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, fermin.ferriol@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2024) A real-time air-writing model to recognize Bengali characters. AIMS Mathematics, 9 (3). pp. 6668-6698. ISSN 2473-6988

Article Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés Introduction: Road crashes are still one of the main causes of death around the world. Risky behavior has been proposed as one of the foremost predictors, with the theoretical framework of aberrant behavior emerging as a predominant approach for its examination. Sensation seeking has been pointed out as one of the main personality predictors of aberrant behavior. The current research aimed to investigate the moderated-moderation effect of both risk perception and self-esteem in the relationship between sensation seeking and aberrant behavior. Method: Two studies were conducted. The first study aimed to analyze the psychometric properties of the Spanish version of the Risk Perception Scale (RPS), a 10-item self-report to assess risk perception. A sample composed of 471 Spanish drivers (319 female, Mage = 29.75) completed the RPS. In the second study, a different sample of 236 Spanish drivers (129 female, Mage = 38.49) completed a set of self-reports aiming both to analyze the concurrent and divergent validity of the RPS, and to test the main moderated-moderation hypothesis. Results: With respect to the first study, the confirmatory factor analysis (CFA) supported a 7-item version which fitted in a single reliable factor (α = .74). Regarding the second study, the results supported both the concurrent and divergent validity of the RPS. Likewise, it was verified the moderated-moderation effect in the case of ordinary violations (R2 = .34), aggressive violations (R2 = .20), and lapses (R2 = .12). Conclusions: The RPS is a useful self-report to assess subjective risk perception in Spanish drivers. Both self-esteem and risk perception affect the relationship between sensation seeking and aberrant driving behavior. Practical implications: Intervention programs aiming to reduce aberrant driving behavior should be focused on reducing sensation seeking tendencies while simultaneously enhancing both risk perception skills and self-esteem. metadata Herrero-Fernández, David and Bogdan-Ganea, Smaranda R. and Setién-Suero, Esther and Martín Ayala, Juan Luis mail david.herrero@uneatlantico.es, UNSPECIFIED, esther.setien@uneatlantico.es, juan.martin@uneatlantico.es (2024) The role of subjective risk perception and self-esteem in the relationship between sensation seeking and aberrant behaviors on the road: A moderated-moderation model. Journal of Safety Research, 90. pp. 31-42. ISSN 00224375

2023

Article Subjects > Engineering
Subjects > Comunication Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Chatbots are AI-powered programs designed to replicate human conversation. They are capable of performing a wide range of tasks, including answering questions, offering directions, controlling smart home thermostats, and playing music, among other functions. ChatGPT is a popular AI-based chatbot that generates meaningful responses to queries, aiding people in learning. While some individuals support ChatGPT, others view it as a disruptive tool in the field of education. Discussions about this tool can be found across different social media platforms. Analyzing the sentiment of such social media data, which comprises people’s opinions, is crucial for assessing public sentiment regarding the success and shortcomings of such tools. This study performs a sentiment analysis and topic modeling on ChatGPT-based tweets. ChatGPT-based tweets are the author’s extracted tweets from Twitter using ChatGPT hashtags, where users share their reviews and opinions about ChatGPT, providing a reference to the thoughts expressed by users in their tweets. The Latent Dirichlet Allocation (LDA) approach is employed to identify the most frequently discussed topics in relation to ChatGPT tweets. For the sentiment analysis, a deep transformer-based Bidirectional Encoder Representations from Transformers (BERT) model with three dense layers of neural networks is proposed. Additionally, machine and deep learning models with fine-tuned parameters are utilized for a comparative analysis. Experimental results demonstrate the superior performance of the proposed BERT model, achieving an accuracy of 96.49%. metadata R, Sudheesh and Mujahid, Muhammad and Rustam, Furqan and Shafique, Rahman and Chunduri, Venkata and Gracia Villar, Mónica and Brito Ballester, Julién and Diez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach. Information, 14 (9). p. 474. ISSN 2078-2489

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Cerrado Inglés Diets enriched in plant-based foods are associated with the maintenance of a good well-being and with the prevention of many non-communicable diseases. The health effects of fruits and vegetables consumption are mainly due to the presence of micronutrients, including vitamins and minerals, and polyphenols, plant secondary metabolites. One of the most important classes of phenolic compounds are anthocyanins, that confer the typical purple-red color to many foods, such as berries, peaches, plums, red onions, purple corn, eggplants, as well as purple carrots, sweet potatoes and red cabbages, among others. This commentary aims to briefly highlight the progress made by science in the last years, focusing on some unexpected aspects related with anthocyanins, such as their bioavailability, their health effects and their relationship with gut microbiota metadata Giampieri, Francesca and Cianciosi, Danila and Alvarez-Suarez, José M. and Quiles, José L. and Forbes-Hernández, Tamara Y. and Navarro-Hortal, María D. and Machì, Michele and Pali-Casanova, Ramón and Martínez Espinosa, Julio César and Chen, Xiumin and Zhang, Di and Bai, Weibin and Lingmin, Tian and Mezzetti, Bruno and Battino, Maurizio and Diaz, Yasmany Armas mail francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, ulio.martinez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED (2023) Anthocyanins: what do we know until now? Journal of Berry Research. pp. 1-6. ISSN 18785093

Article Subjects > Teaching Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español Los programas educativos cada vez más se inclinan a la potenciación de valores que favorezcan el desarrollo integral de los educandos, para ello se implementan diversas fórmulas que pretenden desde lo metodológico ajustarse a las exigencias sociales, educativas y curriculares. En este acercamiento a la formación del Bachiller Ecuatoriano, se analizan sus principios legales, lineamientos curriculares y estándares de calidad educativa enfocado al cumplimiento del perfil de salida del bachillerato, así como la percepción de estos por parte de estudiantes y docentes de la Unidad Educativa del Milenio Manuel J. Calle de la ciudad de Cuenca, a partir de aquí se propone una estrategia de mejora con el uso del Método de Aprendizaje Basado en Proyectos (ABP), aplicada en una muestra de 92 estudiantes del 2do año del Bachillerato General Unificado (BGU), quienes cursaron el Programa de Participación Estudiantil (PPE), específicamente el PPE (2017-2018), cuyos resultados evidencian que el Método ABP empleado en el PPE caso de estudio contribuye significativamente a elevar la calidad del Perfil de Salida del Bachiller (PSB) por medio del desarrollo de habilidades para la vida. El Método de Aprendizaje Basado en Proyectos ABP es una alternativa adecuada para elevar el proceso formativo del país, a la vez facilita la convivencia armónica en el marco escolar para quienes la utilizan directa e indirectamente. metadata Jara Quito, Daysi Margoth and Martínez Sierra, Ricel and Orúe Sierra, Amalia Beatriz mail UNSPECIFIED, ricel.martinez@unini.org, UNSPECIFIED (2023) Análisis crítico sobre el perfil de salida del bachillerato ecuatoriano. Una mirada desde el método de aprendizaje basado en proyectos. MLS Educational Research (MLSER), 7 (1).

Article Subjects > Teaching Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés, Español Los programas educativos cada vez más se inclinan a la potenciación de valores que favorezcan el desarrollo integral de los educandos, para ello se implementan diversas fórmulas que pretenden desde lo metodológico ajustarse a las exigencias sociales, educativas y curriculares. En este acercamiento a la formación del Bachiller Ecuatoriano, se analizan sus principios legales, lineamientos curriculares y estándares de calidad educativa enfocado al cumplimiento del perfil de salida del bachillerato, así como la percepción de estos por parte de estudiantes y docentes de la Unidad Educativa del Milenio Manuel J. Calle de la ciudad de Cuenca, a partir de aquí se propone una estrategia de mejora con el uso del Método de Aprendizaje Basado en Proyectos (ABP), aplicada en una muestra de 92 estudiantes del 2do año del Bachillerato General Unificado (BGU), quienes cursaron el Programa de Participación Estudiantil (PPE), específicamente el PPE (2017-2018), cuyos resultados evidencian que el Método ABP empleado en el PPE caso de estudio contribuye significativamente a elevar la calidad del Perfil de Salida del Bachiller (PSB) por medio del desarrollo de habilidades para la vida. El Método de Aprendizaje Basado en Proyectos ABP es una alternativa adecuada para elevar el proceso formativo del país, a la vez facilita la convivencia armónica en el marco escolar para quienes la utilizan directa e indirectamente. metadata Orúe López, Amalia Beatriz and Martínez Sierra, Ricel and Jara Quito, Daysi Margoth mail UNSPECIFIED, ricel.martinez@unini.org, daysi.jara@doctorado.unini.edu.mx (2023) Análisis crítico sobre el perfil de salida del bachillerato ecuatoriano. Una mirada desde el método de aprendizaje basado en proyectos. MLS Educational Research, 7 (1). ISSN 2603-5820

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español El objetivo de esta investigación es analizar el uso de las TIC que favorecen la innovación de los procesos y los factores que inciden en la productividad de las empresas panificadoras del Municipio de Campeche, es una investigación de tipo no experimental, se corresponde con un diseño transversal y un enfoque cuantitativo, cuya población es de 135 empresas y una muestra de veinte (20); se realizó un muestreo por conveniencia toda vez que las unidades a estudiar se eligen de acuerdo a su fácil disponibilidad, esto motivado a las implicaciones existentes generadas por la pandemia del COVID-19; se elaboró un instrumento que fue validado en su contenido por expertos en gerencia y calculada su fiabilidad, fue aplicado a los dueños o gerentes de las citadas empresas. Entre las conclusiones se destacan: es necesaria la incorporación y uso de las TIC debido a que se requiere la modificación y adaptación a las nuevas tecnologías y cambios presentes en el mercado tan necesarios para la subsistencia. Los motivos que impiden la innovación están sustentados en: no tener información suficiente sobre los elementos que las conforman, costos elevados para innovar, falta de financiamiento por parte del estado y sector privado, no disponer de capital suficiente. Finalmente se evidencia una marcada influencia de los factores internos y externos que inciden en la productividad, por lo que es importante que en el futuro se estudien y analicen a profundidad. metadata Moreno Briceño, Fidel and Medina Minaya, Alberto Eliceo mail UNSPECIFIED, alberto.medina@doctorado.unini.edu.mx (2023) Análisis de la innovación en los procesos y la productividad respecto al uso de TIC en las empresas panificadoras del Municipio de Campeche, México. Project Design and Management, 5 (1). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español Los graduados de carreras de tecnología de la información, como Ingeniería de Sistemas, Tecnología en Desarrollo de Software y afines, actualmente son una de las mayores preocupaciones para la universidad, la empresa y el Estado colombiano, debido a que la escasez de estos profesionales se incrementa cada día en el país. Este estudio tuvo como objetivo presentar una relación de la deserción estudiantil en los programas de Tecnología de la Información -TI- en Colombia, y mostrar que, a través de la buena práctica docente, se puede minimizar la deserción académica. La metodología se desarrolló basada en principios positivistas, a través de estudio correlacional; se aplicó una encuesta como técnica de recolección de información a 81 estudiantes de carreras afines a las tecnologías, usando la prueba de validez y confiabilidad Alfa de Cronbach. Los resultados reafirmaron que las herramientas tecnológicas, utilizadas a través de estrategias de aprendizaje en el aula, son pieza clave en la motivación y fortalecimiento del proceso formativo; lo que aporta significativamente a la minimización de la deserción académica. Se concluye que la inmersión de las herramientas tecnológicas en la educación, incorporando la gamificación y los proyectos integradores, robustecen el proceso de enseñanza y aprendizaje. metadata Fuertes Arroyo, Yolfaris Naidit and Uc Ríos, Carlos Eduardo mail UNSPECIFIED, carlos.uc@unini.edu.mx (2023) Aporte de las tecnologías de la información y la comunicación (TIC) para minimizar la deserción de carreras universitarias en tecnología. Revista Virtual Universidad Católica del Norte (68). pp. 4-36. ISSN 0124-5821

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented. metadata Salinari, Alessia and Machì, Michele and Armas Diaz, Yasmany and Cianciosi, Danila and Qi, Zexiu and Yang, Bei and Ferreiro Cotorruelo, Maria Soledad and Gracia Villar, Santos and Dzul López, Luis Alonso and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases, 11 (3). p. 97. ISSN 2079-9721

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Chronic obstructive pulmonary disease (COPD) is a severe and chronic ailment that is currently ranked as the third most common cause of mortality across the globe. COPD patients often experience debilitating symptoms such as chronic coughing, shortness of breath, and fatigue. Sadly, the disease frequently goes undiagnosed until it is too late, leaving patients without the care they desperately need. So, COPD detection at an early stage is crucial to prevent further damage to the lungs and improve quality of life. Traditional COPD detection methods often rely on physical examinations and tests such as spirometry, chest radiography, blood gas tests, and genetic tests. However, these methods may not always be accurate or accessible. One of the key vital signs for detecting COPD is the patient’s respiration rate. However, it is crucial to consider a patient’s medical and demographic characteristics simultaneously for better detection results. To address this issue, this study aims to detect COPD patients using artificial intelligence techniques. To achieve this goal, a novel framework is proposed that utilizes ultra-wideband (UWB) radar-based temporal and spectral features to build machine learning and deep learning models. This new set of temporal and spectral features is extracted from respiration data collected non-invasively from 1.5 m distance using UWB radar. Different machine learning and deep learning models are trained and tested on the collected dataset. The findings are promising, with a high accuracy score of 100% for COPD detection. This means that the proposed framework could potentially save lives by identifying COPD patients at an early stage. The k-fold cross-validation technique and performance comparison with the state-of-the-art studies are applied to validate its performance, ensuring that the results are robust and reliable. The high accuracy score achieved in the study implies that the proposed framework has the potential for the efficient detection of COPD at an early stage. metadata Siddiqui, Hafeez-Ur-Rehman and Raza, Ali and Saleem, Adil Ali and Rustam, Furqan and Díez, Isabel de la Torre and Gavilanes Aray, Daniel and Lipari, Vivian and Ashraf, Imran and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics, 13 (6). p. 1096. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
University of La Romana > Research > Scientific Production Abierto Inglés Behavioral economics and artificial intelligence (AI) have been two rapidly growing fields of research over the past few years. While behavioral economics aims to combine concepts from psychology, sociology, and neuroscience with classical economic thoughts to understand human decision-making processes in the complex economic environment, AI on the other hand, focuses on creating intelligent machines that can mimic human cognitive abilities such as learning, problem-solving, decision-making, and language understanding. The intersection of these two fields has led to thrilling research theories and practical applications. This study provides a bibliometric analysis of the literature on AI and behavioral economics to gain insight into research trends in this field. We conducted this bibliometric analysis using the Web of Science database on articles published between 2012 and 2022 that were related to AI and behavioral economics. VOSviewer and Bibliometrix R package were utilized to identify influential authors, journals, institutions, and countries in the field. Network analysis was also performed to identify the main research themes and their interrelationships. The analysis revealed that the number of publications on AI and behavioral economics has been increasing steadily over the past decade. We found that most studies focused on customer and consumer behavior, including topics such as decision-making under uncertainty, neuroeconomics, and behavioral game theory, combined mainly with machine learning and deep learning techniques. We also identified several emerging themes, including the use of AI in nudging and prospect theory in behavioral finance, as well as undeveloped themes such as AI-driven behavioral macroeconomics. The findings suggests that there is a need for more interdisciplinary collaboration between researchers in behavioral economics and AI. We also suggest that future research on AI and behavioral economics further consider the ethical implications of using AI and behavioral insights in decision-making. This study can serve as a valuable resource for researchers interested in AI and behavioral economics. metadata Aoujil, Zakaria and Hanine, Mohamed and Soriano Flores, Emmanuel and Samad, Md Abdu and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field. IEEE Access. p. 1. ISSN 2169-3536 (In Press)

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The precise prediction of power estimates of wind–solar renewable energy sources becomes challenging due to their intermittent nature and difference in intensity between day and night. Machine-learning algorithms are non-linear mapping functions to approximate any given function from known input–output pairs and can be used for this purpose. This paper presents an artificial neural network (ANN)-based method to predict hybrid wind–solar resources and estimate power generation by correlating wind speed and solar radiation for real-time data. The proposed ANN allows optimization of the hybrid system’s operation by efficient wind and solar energy production estimation for a given set of weather conditions. The proposed model uses temperature, humidity, air pressure, solar radiation, optimum angle, and target values of known wind speeds, solar radiation, and optimum angle. A normalization function to narrow the error distribution and an iterative method with the Levenberg–Marquardt training function is used to reduce error. The experimental results show the effectiveness of the proposed approach against the existing wind, solar, or wind–solar estimation methods. It is envisaged that such an intelligent yet simplified method for predicting wind speed, solar radiation, and optimum angle, and designing wind–solar hybrid systems can improve the accuracy and efficiency of renewable energy generation. metadata Shafi, Imran and Khan, Harris and Farooq, Muhammad Siddique and Diez, Isabel de la Torre and Miró Vera, Yini Airet and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation. Energies, 16 (10). p. 4171. ISSN 1996-1073

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Project-based organizations need to procure different commodities, and the failure/success of a project depends heavily on procurement management. Companies must refine and develop methods to simplify and optimize the procurement process in a highly competitive environment. This paper presents a methodology to help managers of project-based organizations analyze procurement processes to determine the optimal framework for simultaneously addressing multiple objectives. These goals include minimizing the time between the generation and required approval for a purchase, identifying unnamed activities, and allocating the budget efficiently. In this paper, we apply process mining algorithms to a dataset consisting of event logs on Oracle Financials-based enterprise resource planning (ERP) procurement processes in ERP systems and demonstrate interesting results leading to project procurement intelligence (PPI). The provided log data is the real-life data consisting of 180,462 events referring to seven activities within 43,101 cases. The logged procurement processes are filtered and analyzed using the open-source process mining frameworks PrOM and Disco. As a result of the process mining activities, a simulation of the discovered process model derived from the event log of the entire procurement process is presented, and the most frequent potential behaviors are identified. This analysis and extraction of frequent processes from corporate event logs help organizations understand, adapt, and redesign procurement operations and, most importantly, make them more efficient and of higher quality. This study shows that after the successful formulation of guiding principles, data refinement, and process structure optimization, the case study results are considered significant by the organization’s management. metadata Butt, Naveed Anwer and Mahmood, Zafar and Sana, Muhammad Usman and Díez, Isabel de la Torre and Castanedo Galán, Juan and Brie, Santiago and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juan.castanedo@uneatlantico.es, santiago.brie@uneatlantico.es, UNSPECIFIED (2023) Behavioral and Performance Analysis of a Real-Time Case Study Event Log: A Process Mining Approach. Applied Sciences, 13 (7). p. 4145. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Internet of Things (IoT) has made significant strides in energy management systems recently. Due to the continually increasing cost of energy, supply–demand disparities, and rising carbon footprints, the need for smart homes for monitoring, managing, and conserving energy has increased. In IoT-based systems, device data are delivered to the network edge before being stored in the fog or cloud for further transactions. This raises worries about the data’s security, privacy, and veracity. It is vital to monitor who accesses and updates this information to protect IoT end-users linked to IoT devices. Smart meters are installed in smart homes and are susceptible to numerous cyber attacks. Access to IoT devices and related data must be secured to prevent misuse and protect IoT users’ privacy. The purpose of this research was to design a blockchain-based edge computing method for securing the smart home system, in conjunction with machine learning techniques, in order to construct a secure smart home system with energy usage prediction and user profiling. The research proposes a blockchain-based smart home system that can continuously monitor IoT-enabled smart home appliances such as smart microwaves, dishwashers, furnaces, and refrigerators, among others. An approach based on machine learning was utilized to train the auto-regressive integrated moving average (ARIMA) model for energy usage prediction, which is provided in the user’s wallet, to estimate energy consumption and maintain user profiles. The model was tested using the moving average statistical model, the ARIMA model, and the deep-learning-based long short-term memory (LSTM) model on a dataset of smart-home-based energy usage under changing weather conditions. The findings of the analysis reveal that the LSTM model accurately forecasts the energy usage of smart homes. metadata Iqbal, Faiza and Altaf, Ayesha and Waris, Zeest and Gavilanes Aray, Daniel and López Flores, Miguel Ángel and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction. Sensors, 23 (11). p. 5263. ISSN 1424-8220

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Alpha-linolenic acid (ALA) is a long-chain polyunsaturated essential fatty acid of the Ω3 series found mainly in vegetables, especially in the fatty part of oilseeds, dried fruit, berries, and legumes. It is very popular for its preventive use in several diseases: It seems to reduce the risk of the onset or decrease some phenomena related to inflammation, oxidative stress, and conditions of dysregulation of the immune response. Recent studies have confirmed these unhealthy situations also in patients with severe coronavirus disease 2019 (COVID-19). Different findings (in vitro, in vivo, and clinical ones), summarized and analyzed in this review, have showed an important role of ALA in other various non-COVID physiological and pathological situations against “cytokines storm,” chemokines secretion, oxidative stress, and dysregulation of immune cells that are also involved in the infection of the 2019 novel coronavirus. According to the effects of ALA against all the aforementioned situations (also present in patients with a severe clinical picture of severe acute respiratory syndrome-(CoV-2) infection), there may be the biologic plausibility of a prophylactic effect of this compound against COVID-19 symptoms and fatality. metadata Cianciosi, Danila and Diaz, Yasmany Armas and Gaddi, Antonio Vittorino and Capello, Fabio and Savo, Maria Teresa and Pali-Casanova, Ramón and Martínez Espinosa, Julio César and Pascual Barrera, Alina Eugenia and Navarro‐Hortal, Maria‐Dolores and Tian, Lingmin and Bai, Weibin and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, ulio.martinez@unini.edu.mx, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED (2023) Can alpha‐linolenic acid be a modulator of “cytokine storm,” oxidative stress and immune response in SARS‐CoV‐2 infection? Food Frontiers. ISSN 2643-8429

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Cerrado Inglés Manuka honey, which is rich in pinocembrin, quercetin, naringenin, salicylic, p-coumaric, ferulic, syringic and 3,4-dihydroxybenzoic acids, has been shown to have pleiotropic effects against colon cancer cells. In this study, potential chemosensitizing effects of Manuka honey against 5-Fluorouracil were investigated in colonspheres enriched with cancer stem cells (CSCs), which are responsible for chemoresistance. Results showed that 5-Fluorouracil increased when it was combined with Manuka honey by downregulating the gene expression of both ATP-binding cassette sub-family G member 2, an efflux pump and thymidylate synthase, the main target of 5-Fluorouracil which regulates the ex novo DNA synthesis. Manuka honey was associated with decreased self-renewal ability by CSCs, regulating expression of several genes in Wnt/β-catenin, Hedgehog and Notch pathways. This preliminary study opens new areas of research into the effects of natural compounds in combination with pharmaceuticals and, potentially, increase efficacy or reduce adverse effects. metadata Cianciosi, Danila and Armas Diaz, Yasmany and Alvarez-Suarez, José M. and Chen, Xiumin and Zhang, Di and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Quiles, José L. and Amici, Adolfo and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, jose.quiles@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) Can the phenolic compounds of Manuka honey chemosensitize colon cancer stem cells? A deep insight into the effect on chemoresistance and self-renewal. Food Chemistry, 427. p. 136684. ISSN 03088146

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases since the 1950s. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, and machine- and deep-learning models for dental disease diagnoses using X-ray and near-infrared imagery. Despite the notable development of AI in dentistry, certain factors affect the performance of the proposed approaches, including limited data availability, imbalanced classes, and lack of transparency and interpretability. Hence, it is of utmost importance for the research community to formulate suitable approaches, considering the existing challenges and leveraging findings from the existing studies. Based on an extensive literature review, this survey provides a brief overview of X-ray and near-infrared imaging systems. Additionally, a comprehensive insight into challenges faced by researchers in the dental domain has been brought forth in this survey. The article further offers an amalgamative assessment of both performances and methods evaluated on public benchmarks and concludes with ethical considerations and future research avenues. metadata Shafi, Imran and Fatima, Anum and Afzal, Hammad and Díez, Isabel de la Torre and Lipari, Vivian and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health. Diagnostics, 13 (13). p. 2196. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Renewable energy solutions are appropriate for on-grid and off-grid applications, acting as a supporter for the utility network or rural locations without the need to develop or extend costly and difficult grid infrastructure. As a result, hybrid renewable energy sources have become a popular option for grid-connected or standalone systems. This paper examines hybrid renewable energy power production systems with a focus on energy sustainability, reliability due to irregularities, techno-economic feasibility, and being environmentally friendly. In attaining a reliable, clean, and cost-effective system, sizing optimal hybrid renewable energy sources (HRES) is a crucial challenge. The presenters went further to outline the best sizing approach that can be used in HRES, taking into consideration the key components, parameters, methods, and data. Moreover, the goal functions, constraints from design, system components, optimization software tools, and meta-heuristic algorithm methodologies were highlighted for the available studies in this timely synopsis of the state of the art. Additionally, current issues resulting from scaling HRES were also identified and discussed. The latest trends and advances in planning problems were thoroughly addressed. Finally, this paper provides suggestions for further research into the appropriate component sizing in HRES. metadata Agajie, Takele Ferede and Ali, Ahmed and Fopah-Lele, Armand and Amoussou, Isaac and Khan, Baseem and Rodríguez Velasco, Carmen Lilí and Tanyi, Emmanuel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2023) A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems. Energies, 16 (2). p. 642. ISSN 1996-1073

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés In the field of natural language processing, machine translation is a colossally developing research area that helps humans communicate more effectively by bridging the linguistic gap. In machine translation, normalization and morphological analyses are the first and perhaps the most important modules for information retrieval (IR). To build a morphological analyzer, or to complete the normalization process, it is important to extract the correct root out of different words. Stemming and lemmatization are techniques commonly used to find the correct root words in a language. However, a few studies on IR systems for the Urdu language have shown that lemmatization is more effective than stemming due to infixes found in Urdu words. This paper presents a lemmatization algorithm based on recurrent neural network models for the Urdu language. However, lemmatization techniques for resource-scarce languages such as Urdu are not very common. The proposed model is trained and tested on two datasets, namely, the Urdu Monolingual Corpus (UMC) and the Universal Dependencies Corpus of Urdu (UDU). The datasets are lemmatized with the help of recurrent neural network models. The Word2Vec model and edit trees are used to generate semantic and syntactic embedding. Bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), bidirectional gated recurrent neural network (BiGRNN), and attention-free encoder–decoder (AFED) models are trained under defined hyperparameters. Experimental results show that the attention-free encoder-decoder model achieves an accuracy, precision, recall, and F-score of 0.96, 0.95, 0.95, and 0.95, respectively, and outperforms existing models metadata Hafeez, Rabab and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Fatima, Tayyaba and Martínez Espinosa, Julio César and Dzul López, Luis Alonso and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ulio.martinez@unini.edu.mx, luis.dzul@uneatlantico.es, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Contextual Urdu Lemmatization Using Recurrent Neural Network Models. Mathematics, 11 (2). p. 435. ISSN 2227-7390

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés This paper presents a current- and voltage-driven protection scheme for transmission lines based on a hybrid mix of Stockwell transform (ST) and Hilbert transform (HT). Use of both current and voltage waveforms to detect and categorize faults, improves the reliability of this protection scheme and avoids false tripping. Current and voltage waveforms captured during a period of fault are analyzed using ST to compute a median intermediate fault index (MIFI), a maximum value intermediate fault index (MVFI), and a summation intermediate fault index (SIFI). Current and voltage signals are analyzed via applying HT to compute a Hilbert fault index (HFI). The proposed hybrid current and voltage fault index (HCVFI) is obtained from the MIFI, MVFI, SIFI, and HFI. A threshold magnitude for this hybrid current and voltage fault index (HCVFITH) is set to 500 to identify the faulty phase. The HCVFIT is selected after testing the method for various conditions of different fault locations, different fault impedances, different fault occurrence angles, and reverse flows of power. Fault classification is performed using the number of faulty phases and an index for ground detection (IGD). The ground involved in a fault is detected by comparison of peak IGD magnitude with a threshold for ground detection (THGD). THGD is considered equal to 1000 in this study. The study is carried out using a two-terminal transmission line modeled in MATLAB software. The performance of the proposed technique is better compared to a discrete wavelet transform (DWT)-based technique, a time–frequency approach, and an alienation method. Our algorithm effectively detected an AG fault, observed on a practical transmission line. metadata Tang, Ligang and Mahela, Om Prakash and Khan, Baseem and Miró Vera, Yini Airet mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es (2023) Current- and Voltage-Actuated Transmission Line Protection Scheme Using a Hybrid Combination of Signal Processing Techniques. Sustainability, 15 (7). p. 5715. ISSN 2071-1050

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The genus Aeromonas has received constant attention in different areas, from aquaculture and veterinary medicine to food safety, where more and more frequent isolates are occurring with increased resistance to antibiotics. The present paper studied the interaction of Aeromonas strains isolated from fresh produce and water with different eukaryotic cell types with the aim of better understanding the cytotoxic capacity of these strains. To study host-cell pathogen interactions in Aeromonas, we used HT-29, Vero, J774A.1, and primary mouse embryonic fibroblasts. These interactions were analyzed by confocal microscopy to determine the cytotoxicity of the strains. We also used Galleria mellonella larvae to test their pathogenicity in this experimental model. Our results demonstrated that two strains showed high cytotoxicity in epithelial cells, fibroblasts, and macrophages. Furthermore, these strains showed high virulence using the G. mellonella model. All strains used in this paper generally showed low levels of resistance to the different families of the antibiotics being tested. These results indicated that some strains of Aeromonas present in vegetables and water pose a potential health hazard, displaying very high in vitro and in vivo virulence. This pathogenic potential, and some recent concerning findings on antimicrobial resistance in Aeromonas, encourage further efforts in examining the precise significance of Aeromonas strains isolated from foods for human consumption. metadata Pintor-Cora, Alberto and Tapia Martínez, Olga and Elexpuru Zabaleta, Maria and Ruiz de Alegría, Carlos and Rodríguez-Calleja, Jose M. and Santos, Jesús A. and Ramos Vivas, Jose mail UNSPECIFIED, olga.tapia@uneatlantico.es, maria.elexpuru@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es (2023) Cytotoxicity and Antimicrobial Resistance of Aeromonas Strains Isolated from Fresh Produce and Irrigation Water. Antibiotics, 12 (3). p. 511. ISSN 2079-6382

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Automated dental imaging interpretation is one of the most prolific areas of research using artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental diseases. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, as well as machine and deep learning models for dental disease diagnoses using X-ray imagery. In this regard, a lightweight Mask-RCNN model is proposed for periapical disease detection. The proposed model is constructed in two parts: a lightweight modified MobileNet-v2 backbone and region-based network (RPN) are proposed for periapical disease localization on a small dataset. To measure the effectiveness of the proposed model, the lightweight Mask-RCNN is evaluated on a custom annotated dataset comprising images of five different types of periapical lesions. The results reveal that the model can detect and localize periapical lesions with an overall accuracy of 94%, a mean average precision of 85%, and a mean insection over a union of 71.0%. The proposed model improves the detection, classification, and localization accuracy significantly using a smaller number of images compared to existing methods and outperforms state-of-the-art approaches metadata Fatima, Anum and Shafi, Imran and Afzal, Hammad and Mahmood, Khawar and Díez, Isabel de la Torre and Lipari, Vivian and Brito Ballester, Julién and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED (2023) Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection. Healthcare, 11 (3). p. 347. ISSN 2227-9032

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for identifying faulty components due to malfunctioning at different manufacturing stages in the aerospace industry. It uses a convolutional neural network (CNN) to recognize and classify intermediate abnormal states in a single manufacturing process. The manufacturing process for aircraft factory products comprises different phases; analyzing the components after the integration is labor-intensive and time-consuming, which often puts the company’s stake at high risk. To overcome these challenges, the proposed AI-based system can perform inspection and defect detection and alleviate the probability of components’ needing to be re-manufacturing after being assembled. In addition, it analyses the impact value, i.e., rework delays and costs, of manufacturing processes using a statistical process control tool on real-time data for various manufactured components. Defects are detected and classified using the CNN and teachable machine in the single manufacturing process during the initial stage prior to assembling the components. The results show the significance of the proposed approach in improving operational cost management and reducing rework-induced delays. Ground tests are conducted to calculate the impact value followed by the air tests of the final assembled aircraft. The statistical results indicate a 52.88% and 34.32% reduction in time delays and total cost, respectively. metadata Shafi, Imran and Mazhar, Muhammad Fawad and Fatima, Anum and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2023) Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance. Drones, 7 (1). p. 31. ISSN 2504-446X

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Derecho económico y desarrollo local, se abordan como una relación y dependencia. La percepción sobre el desarrollo local de los habitantes del cantón Yaguachi sirvió de base para el análisis respectivo que, permitió describir aspectos relacionados a la temática de estudio. Son todos los actores del desarrollo local, desde el Gobierno Autónomo Descentralizado Municipal, los gremios y la ciudadanía, aquellos llamados a cooperar entre sí y de forma armónica y coordinada para generar los anhelados cambios que se requieren en el territorio. Esta situación describe una oportunidad para que dichos actores de forma articulada se integren apoyados en las herramientas que brinda el derecho económico para crear las condiciones que permitan mejorar el desarrollo local, integrando el aspecto humano y ambiental. Se concluye, una relación entre el nivel de coordinación de los actores del territorio y el grado de desarrollo del cantón de acuerdo a los resultados del instrumento de investigación aplicado. metadata Hinojosa Silva, Humberto Rafael and García Lara, Roberto mail humberto.hinojosa@doctorado.unini.edu.mx, roberto.garcia@unini.edu.mx (2023) Derecho económico y desarrollo local. El Cantón Yaguachi de Ecuador. REVISTA IUS, 17 (51). pp. 65-84. ISSN 1870-2147

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español El objetivo general de esta investigación es el diseño de una matriz como herramienta para la evaluación de requerimientos de calidad, medio ambiente y seguridad para una empresa automotriz ubicada en Reynosa Tamaulipas, México, abordando el problema que se genera debido al impacto en la organización por los incumplimientos en la falta de estandarización y evaluación de requerimientos de cliente y normativos. Esta investigación se presenta y desarrolla con el uso de los métodos lógicos de deducción, análisis y síntesis de mejora continua, la metodología de Ishikawa o diagrama pescado, la metodología de análisis de causa y efecto y de evaluación de riesgos. Analizados los cambios de las normas y sus requerimientos se observa que los principales hallazgos en las auditorias son con relación al cumplimento en la evaluación de requerimientos del cliente debido a que las implementaciones de los sistemas de gestión en las organizaciones se llevan a cabo en diferentes etapas y este desfase en la gestión de los proyectos complica la estandarización y genera la posibilidad de riesgos. La matriz como herramienta para la evaluación de requerimientos de calidad, medio ambiente y seguridad nos brinda la pauta para eficientizar la gestión de la organización, al eliminar la duplicidad de documentos, de controles no aplicables y entrenamientos repetitivos, también nos permite reducir al mínimo la carga de trabajo y esfuerzos que se genera debido al análisis de requerimientos de los sistemas como apartados aislados y no de forma global. metadata Muñoz Rodríguez, Jesús and Velázquez Ramírez, Juan Manuel mail UNSPECIFIED (2023) Diseño de matriz como herramienta para la evaluación de requerimientos de calidad, medio ambiente y seguridad. Project Design and Management, 5 (1).

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Las estrategias competitivas efectivas son clave para el éxito o el fracaso de cualquier empresa, organización o institución. Determinan el alcance y grado de ejecución de las tareas de gestión de cualquier empresa pública o privada. La gestión también implica la asignación eficiente de valiosos recursos. La necesidad de adaptarse y cambiar es evidente en el clima de negocios y administrativos actuales. Desde una perspectiva cultural, tecnológica, económica y ambiental, todo cambia constantemente. Existe un claro acuerdo en la comunidad académica sobre esta necesidad de adaptación. La mayoría de las estrategias corporativas no logran definir adecuadamente sus metas e indicadores debido a la falta de una evaluación continua de los resultados. Esto conduce a muchos fracasos porque los líderes corporativos no saben cómo definir sus objetivos o indicadores. En virtud de lo señalado, el presente articulo indaga sobre el diseño e implementación de un Tablero de Gestión Estratégico en el Instituto provincial de la Vivienda IPV de la ciudad de Salta, siendo el organismo público del Estado provincial en lo relativo a brindar soluciones edilicias a la población de esta jurisdicción, planteando una revisión bibliográfica de las herramientas del Cuadro de Mando integral como una solución a los problemas planteados y una posible resolución de las problemáticas. metadata Matias Visa, Rafael Francisco mail UNSPECIFIED (2023) Diseño de un Tablero de Gestión Estratégico para el Instituto Provincial de Vivienda de Salta. Ciencia Latina Revista Científica Multidisciplinar, 6 (6). pp. 12750-12698. ISSN 2707-2207

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Internet security is a major concern these days due to the increasing demand for information technology (IT)-based platforms and cloud computing. With its expansion, the Internet has been facing various types of attacks. Viruses, denial of service (DoS) attacks, distributed DoS (DDoS) attacks, code injection attacks, and spoofing are the most common types of attacks in the modern era. Due to the expansion of IT, the volume and severity of network attacks have been increasing lately. DoS and DDoS are the most frequently reported network traffic attacks. Traditional solutions such as intrusion detection systems and firewalls cannot detect complex DDoS and DoS attacks. With the integration of artificial intelligence-based machine learning and deep learning methods, several novel approaches have been presented for DoS and DDoS detection. In particular, deep learning models have played a crucial role in detecting DDoS attacks due to their exceptional performance. This study adopts deep learning models including recurrent neural network (RNN), long short-term memory (LSTM), and gradient recurrent unit (GRU) to detect DDoS attacks on the most recent dataset, CICDDoS2019, and a comparative analysis is conducted with the CICIDS2017 dataset. The comparative analysis contributes to the development of a competent and accurate method for detecting DDoS attacks with reduced execution time and complexity. The experimental results demonstrate that models perform equally well on the CICDDoS2019 dataset with an accuracy score of 0.99, but there is a difference in execution time, with GRU showing less execution time than those of RNN and LSTM. metadata Ramzan, Mahrukh and Shoaib, Muhammad and Altaf, Ayesha and Arshad, Shazia and Iqbal, Faiza and Kuc Castilla, Ángel Gabriel and Ashraf, Imran mail UNSPECIFIED (2023) Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm. Sensors, 23 (20). p. 8642. ISSN 1424-8220

Article Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés Aggressive behaviour is a common response in different contexts all around the world. General aggression theories, such as the frustration-aggression theory, try to explain this behaviour in any context. However, situational specificity could play a relevant role in this issue, so proneness to behave aggressively may depend more on the context than on a general root or personality trait. With the aim of shedding light in this field, the current research aimed to analyse the relationship between aggressive behaviour on the road and intimate relationships. A sample composed of 275 participants who had a driving license and lived with an intimate partner completed a set of self-reports regarding aggressive behaviour in both contexts. The results suggested a convergence in the way of expressing anger, except in the case of adaptive aggression. A SEM-based approach indicated that the measured aggressive variables fitted better in two highly correlated factors rather than a single one, suggesting the relevance of the situational specificity in the prediction of aggressive behaviour in both contexts. Practical implications regarding evaluation and intervention for aggression reduction are discussed, as well as the limitations of the current research. metadata Herrero-Fernández, David and Parada-Fernández, Pamela and Rodríguez-Arcos, Irene and Martín Ayala, Juan Luis and Castaño Castaño, Sergio mail david.herrero@uneatlantico.es, pamela.parada@uneatlantico.es, UNSPECIFIED, juan.martin@uneatlantico.es, sergio.castano@uneatlantico.es (2023) Do people drive as they live together? Associations between aggressive behaviour on the road and intimate relationships. Transportation Research Part F: Traffic Psychology and Behaviour, 95. pp. 251-260. ISSN 13698478

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Traffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization’s 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents. Current methods to assess driver alcohol consumption are vulnerable to network risks, such as data corruption, identity theft, and man-in-the-middle attacks. In addition, these systems are subject to security restrictions that have been largely overlooked in earlier research focused on driver information. This study intends to develop a platform that combines the Internet of Things (IoT) with blockchain technology in order to address these concerns and improve the security of user data. In this work, we present a device- and blockchain-based dashboard solution for a centralized police monitoring account. The equipment is responsible for determining the driver’s impairment level by monitoring the driver’s blood alcohol concentration (BAC) and the stability of the vehicle. At predetermined times, integrated blockchain transactions are executed, transmitting data straight to the central police account. This eliminates the need for a central server, ensuring the immutability of data and the existence of blockchain transactions that are independent of any central authority. Our system delivers scalability, compatibility, and faster execution times by adopting this approach. Through comparative research, we have identified a significant increase in the need for security measures in relevant scenarios, highlighting the importance of our suggested model. metadata Farooq, Hamza and Altaf, Ayesha and Iqbal, Faiza and Castanedo Galán, Juan and Gavilanes Aray, Daniel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juan.castanedo@uneatlantico.es, daniel.gavilanes@uneatlantico.es, UNSPECIFIED (2023) DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents. Sensors, 23 (12). p. 5388. ISSN 1424-8220

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español La expansión del internet y de los celulares inteligentes impactan hoy con fuerza en la democratización del conocimiento en el mundo. Y este conocimiento, a su vez, impacta en todas las actividades humanas, como el aprendizaje. El uso de las plataformas tecnológicas que soportan el aprendizaje electrónico, conocido por su nombre en inglés e-learning por parte de los alumnos, los profesores y la dirección académica, se encuentra en plena transformación. Por un lado, el dinamismo tecnológico al desarrollar nuevas funcionalidades no siempre bien adaptadas a la pedagogía. Y, por otro, la necesidad de encontrar un lenguaje de medios apropiado para el aprendizaje digital. El objetivo de esta investigación es analizar las brechas y oportunidades en el uso del foro en el entorno del aprendizaje virtual de los estudiantes de maestría de la Escuela de Posgrado de la Universidad Tecnológica del Perú (UTP). Se detectó la oportunidad para contribuir en la adaptación del docente a las nuevas competencias que exigen las tecnologías de la información y de la comunicación (TIC). La metodología empleada fue mixta cuantitativa y cualitativa con dos instrumentos de evaluación. El estudio permitió identificar oportunidades de mejora en el uso del foro virtual como impulsor de la experiencia de aprendizaje y valorar su impacto en la interacción social educativa. metadata Yamagoshi Wang, José Carlos and Darahuge, María Elena mail UNSPECIFIED (2023) El foro virtual como impulsor de la experiencia de aprendizaje. MLS Educational Research, 7 (1). ISSN 2603-5820

Article Subjects > Teaching
Subjects > Comunication
Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Communication professionals are experiencing a growing level of exposure to traumatic events as a result of their involvement in the coverage of various tragedies, including accidents, climatic disasters, rights violations, and acts of terrorism. However, it is worth noting that journalism and communication university courses often lack comprehensive instruction on effectively managing emotional challenges, anxiety, trauma, self-care, and the prevention of vicarious trauma. The objective of this study is to assess the inclusion of emotional management within the curricula of Journalism and Communication programmes offered by two universities in Catalonia, namely the University of Barcelona and the Autonomous University of Barcelona. In order to accomplish this objective, a series of semi-structured interviews were carried out with a total of twelve (12) professors who specialise in the fields of Journalism and Communication. Additionally, a thorough analysis was conducted on a set of 97 study plan guides. The results indicate that none of the participants in the interviews possess knowledge regarding any existing training programmes focused on emotional management. Furthermore, they unanimously agree on the importance of implementing such courses. The study plans did not include any subjects that were specifically dedicated to the topic of emotional management. This study presents a set of strategies aimed at creating a cross-disciplinary teaching-learning model that offers a comprehensive educational experience for students. This entails integrating precise subject matter on the previously mentioned topics, fostering critical contemplation and discourse regarding emotions within the educational setting, and advocating for ethical and sound professional behaviours. metadata Escudero, Carolina and Prola, Thomas and Fraga, Leticia and Soriano Flores, Emmanuel mail UNSPECIFIED, thomas.prola@uneatlantico.es, leticia.fraga@uneatlantico.es, emmanuel.soriano@uneatlantico.es (2023) Emotional Management in Journalism and Communication Studies. Social Space, 23 (2). pp. 507-534.

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders. The PoseNet algorithm facilitates the extraction of key body joint movements and positions from videos in a non-invasive and user-friendly manner, thereby offering a comprehensive representation of lower limb movements. The features that are extracted are subsequently standardized and employed as inputs for a range of machine learning algorithms, such as Random Forest, Extra Tree Classifier, Multilayer Perceptron, Artificial Neural Networks, and Convolutional Neural Networks. The models undergo training and testing processes using a dataset consisting of 174 real patients and normal individuals collected at the Tehsil Headquarter Hospital Sadiq Abad. The evaluation of their performance is conducted through the utilization of K-fold cross-validation. The findings exhibit a notable level of accuracy and precision in the classification of various lower limb disorders. Notably, the Artificial Neural Networks model achieves the highest accuracy rate of 98.84%. The proposed methodology exhibits potential in enhancing the diagnosis and treatment planning of lower limb disorders. It presents a non-invasive and efficient method of analyzing gait patterns and identifying particular conditions. metadata Siddiqui, Hafeez Ur Rehman and Saleem, Adil Ali and Raza, Muhammad Amjad and Gracia Villar, Santos and Dzul Lopez, Luis and Diez, Isabel de la Torre and Rustam, Furqan and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics, 13 (18). p. 2881. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Cricket has a massive global following and is ranked as the second most popular sport globally, with an estimated 2.5 billion fans. Batting requires quick decisions based on ball speed, trajectory, fielder positions, etc. Recently, computer vision and machine learning techniques have gained attention as potential tools to predict cricket strokes played by batters. This study presents a cutting-edge approach to predicting batsman strokes using computer vision and machine learning. The study analyzes eight strokes: pull, cut, cover drive, straight drive, backfoot punch, on drive, flick, and sweep. The study uses the MediaPipe library to extract features from videos and several machine learning and deep learning algorithms, including random forest (RF), support vector machine, k-nearest neighbors, decision tree, linear regression, and long short-term memory to predict the strokes. The study achieves an outstanding accuracy of 99.77% using the RF algorithm, outperforming the other algorithms used in the study. The k-fold validation of the RF model is 95.0% with a standard deviation of 0.07, highlighting the potential of computer vision and machine learning techniques for predicting batsman strokes in cricket. The study’s results could help improve coaching techniques and enhance batsmen’s performance in cricket, ultimately improving the game’s overall quality. metadata Siddiqui, Hafeez Ur Rehman and Younas, Faizan and Rustam, Furqan and Soriano Flores, Emmanuel and Brito Ballester, Julién and Diez, Isabel de la Torre and Dudley, Sandra and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. Sensors, 23 (15). p. 6839. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Classification is a commonly used technique in data mining and is applied in various fields such as sentiment analysis, fraud detection, and fault diagnosis. Multiclass classification, which involves more than two classes, is more complex than binary classification. There are mainly two ways to approach multiclass classification, one is to expand the binary classifier into a multiclass classifier through various strategies and the other is to divide the multiclass classification problem into multiple binary problems (binarization). Two popular approaches for binarization are One vs One (OvO) and One vs All (OvA). It is simpler to aggregate the outputs of all binary classifiers as the number of classifiers decreases. However, it causes an imbalance of positive and negative sample numbers, which affects the classification effect of each binary classifier. In this article, we contribute to the field of ensemble learning and multi-class classification by proposing a new method called Ensemble Partition Sampling (EPS). This article presents a new approach to multiclass classification using an "Ensemble Partition Sampling" method within the "one-vs-all" (OvA) framework. The primary goal of this method is to tackle the problem of data imbalance by incorporating ensemble learning and preprocessing techniques into each binary dataset. The study found that Ensemble Partition Sampling (EPS) is the most effective method for imbalanced and multiclass imbalanced classification, outperforming other methods including OvA, SMOTE, k-means-SMOTE, Bagging-RB, DES-MI, OvO-EASY, and OvO-SMB. The study used CART, Random Forest, and SVM as classifiers, and the results consistently showed that EPS outperformed all other algorithms. The findings suggest that EPS is a highly effective method for improving classification performance in imbalanced and multiclass imbalanced datasets. metadata Jabir, Brahim and Díez, Isabel De la Torre and Bautista Thompson, Ernesto and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel mail UNSPECIFIED (2023) Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés Hybrid membranes with three different thicknesses, PMDS_C1, PMDS_C2, and PMDS_C3 (0.21 ± 0.03 mm, 0.31 ± 0.05 mm, and 0.48 ± 0.07 mm), were synthesized by the sol–gel method using polydimethylsiloxane, hydroxy-terminated, and cyanopropyltriethoxysilane. The presence of cyano, methyl, and silicon-methyl groups was confirmed by FTIR analysis. Contact angle analysis revealed the membranes’ hydrophilic nature. Solvent resistance tests conducted under vortex and ultrasonic treatments (45 and 60 min) demonstrated a preference order of acetonitrile > methanol > water. Furthermore, the membranes exhibited stability over 48 h when exposed to different pH conditions (1, 3, 6, and 9), with negligible mass losses below 1%. The thermogravimetric analysis showed that the material was stable until 400 °C. Finally, the sorption analysis showed its capacity to detect furfural, 2-furylmethylketone, 5-methylfurfural, and 2-methyl 2-furoate. The thicker membrane was able to adsorb and slightly desorb a higher concentration of furanic compounds due to its high polarity provided by the addition of the cyano groups. The results indicated that the membranes may be suitable for sorbent materials in extracting and enriching organic compounds. metadata Pérez-Padilla, Yamile and Aguilar-Vega, Manuel and Uc-Cayetano, Erbin Guillermo and Esparza-Ruiz, Adriana and Yam Cervantes, Marcial Alfredo and Muñoz-Rodríguez, David mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, marcial.yam@unini.edu.mx, UNSPECIFIED (2023) Evaluation of Organofunctionalized Polydimethylsiloxane Films for the Extraction of Furanic Compounds. Polymers, 15 (13). p. 2851. ISSN 2073-4360

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Pregnancy-associated anemia is a significant health issue that poses negative consequences for both the mother and the developing fetus. This study explores the triggering factors of anemia among pregnant females in India, utilizing data from the Demographic and Health Survey 2019–21. Chi-squared and gamma tests were conducted to find out the relationship between anemia and various socioeconomic and sociodemographic elements. Furthermore, ordinal logistic regression and multinomial logistic regression were used to gain deeper insight into the factors that affect anemia among pregnant women in India. According to these findings, anemia affects about 50% of pregnant women in India. Anemia is significantly associated with various factors such as geographical location, level of education, and wealth index. The results of our study indicate that enhancing education and socioeconomic status may serve as viable approaches for mitigating the prevalence of anemia disease developed in pregnant females in India. Employing both Ordinal and Multinominal logistic regression provides a more comprehensive understanding of the risk factors associated with anemia, enabling the development of targeted interventions to prevent and manage this health condition. This paper aims to enhance the efficacy of anemia prevention and management strategies for pregnant women in India by offering an in-depth understanding of the causative factors of anemia. metadata Talin, Iffat Ara and Abid, Mahmudul Hasan and Samad, Md Abdus and Dominguez Azpíroz, Irma and de la Torre Diez, Isabel and Ashraf, Imran and Nahid, Abdullah-Al mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model. Scientific Reports, 13 (1). ISSN 2045-2322

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés The organic polymer known as Polypyrrole (Ppy) is synthesized when pyrrole monomers are polymerized. Excellent thermal stability, superior electrical conductivity, and environmental stability are all characteristics of Polypyrrole. Chemical oxidative polymerization was used to synthesize Ppy using Ferric chloride (FeCl3) as an oxidizing agent and surfactant CTAB in aqueous solution. Oxidant (FeCl3) to pyrrole varied in different molar ratios (2, 3, 4 and 5). It was found that increasing this ratio up to 4 increases PPy's conductivity. XRD, FTIR, and SEM were used to characterize Ppy. The conductive nature of Ppy was studied by I–V characteristics. The best conductive polymer is studied for the NH3 gas response. metadata Jain, Alok and Nabeel, Ansari Novman and Bhagwat, Sunita and Kumar, Rajeev and Sharma, Shubham and Kozak, Drazan and Hunjet, Anica and Kumar, Abhinav and Singh, Rajesh mail UNSPECIFIED (2023) Fabrication of polypyrrole gas sensor for detection of NH3 using an oxidizing agent and pyrrole combinations: Studies and characterizations. Heliyon, 9 (7). e17611. ISSN 24058440

Article Subjects > Engineering
Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The purpose of this research article was to contrast the benefits of the optimal probability threshold adjustment technique with other imbalanced data processing techniques, in its application to the prediction of post-graduate students’ late dropout from distance learning courses in two universities in the Ibero-American space. In this context, the optimization of the Logistic Regression, Random Forest, and Neural Network classifiers, together with different techniques, attributes, and algorithms (Hyperparameters, SMOTE, SMOTE_SVM, and ADASYN) resulted in a set of metrics for decision-making, prioritizing the reduction of false negatives. The best model was the Neural Network model in combination with SMOTE_SVM, obtaining a recall index of 0.75 and an f1-Score of 0.60. Likewise, the robustness of the Random Forest classifier for imbalanced data was demonstrated by achieving, with an optimal threshold of 0.427, very similar metrics to those obtained by the consensus of the three best models found. This demonstrates that, for Random Forest, the optimal prediction probability threshold is an excellent alternative to resampling techniques with different optimal thresholds. Finally, it is hoped that this research paper will contribute to boost the application of this simple but powerful technique, which is highly underrated with respect to data resampling techniques for imbalanced data. metadata Rodríguez Velasco, Carmen Lilí and García Villena, Eduardo and Brito Ballester, Julién and Durántez Prados, Frigdiano Álvaro and Silva Alvarado, Eduardo René and Crespo Álvarez, Jorge mail carmen.rodriguez@uneatlantico.es, eduardo.garcia@uneatlantico.es, julien.brito@uneatlantico.es, durantez@uneatlantico.es, eduardo.silva@funiber.org, jorge.crespo@uneatlantico.es (2023) Forecasting of Post-Graduate Students’ Late Dropout Based on the Optimal Probability Threshold Adjustment Technique for Imbalanced Data. International Journal of Emerging Technologies in Learning (iJET), 18 (04). pp. 120-155. ISSN 1863-0383

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español Una educación universitaria de calidad, coherente con las normas del sistema educativo, sustentado por una gestión docente flexible enfocada en el aprendizaje y buenos resultados académicos, se esmera en constantemente actualizar e innovar sus clases con mejores estrategias que motiven un desarrollo significativo en sus estudiantes. El modelo de los estilos de aprendizaje de Honey - Alonso (1992), se consolida en el contexto universitario como un instrumento validado que reconoce el perfil de cada alumno para mejorar su experiencia, haciéndola más sencilla y satisfactoria, para lograr ser mejor aprendiz en diferentes contextos. El presente estudio tiene como objetivo identificar los estilos de aprendizaje en los estudiantes de la carrera de Administración y Negocios Internacionales de la Universidad La Salle (2021), y determinar la posible correlación entre los estilos con respecto del rendimiento académico, sexo y ciclo de estudio. La investigación es de naturaleza cuantitativa de alcance descriptivo – correlacional, se utilizó el Cuestionario Honey – Alonso de Estilos de Aprendizaje (CHAEA) y el registro de las notas del ciclo anterior de los estudiantes de la carrera profesional seleccionada. Los resultados indican que el estilo Teórico es el de mayor preferencia entre los alumnos universitarios de esta carrera, además no hay relación entre el estilo de aprendizaje con el sexo o el ciclo de estudio, y se puede afirmar que existe relación entre los estilos de aprendizaje con el rendimiento académico. metadata Valdivia Rodríguez, Paola Verónica and Tamayo Ancona, Martín Eliseo mail paola.valdivia@doctorado.unini.edu.mx, martin.ancona@unini.edu.mx (2023) Función del estilo de aprendizaje en el rendimiento académico de los estudiantes de Administración y Negocios Internacionales en una institución universitaria en Perú. MLS Educational Research, 7 (1). ISSN 2603-5820

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Forecasting of sediment load (SL) is essential for reservoir operations, design of water resource structures, risk management, water resource planning and for preventing natural disasters in the river basin systems. Direct measurement of SL is difficult, labour intensive, and expensive. The development of an accurate and reliable model for forecasting the SL is required. Sediment transport is highly non-linear and is influenced by a variety of factors. Forecasting of the SL using various conventional methods is not highly accurate because of the association of various complex phenomena. In this study, major key factors such as rock type (RT), relief (R), rainfall (RF), water discharge (WD), temperature (T), catchment area (CA), and SL are recognized in developing the one-step-ahead SL forecasting model in the Mahanadi River (MR), which is among India’s largest rivers. Artificial neural networks (ANN) in conjunction with multi-objective genetic algorithm (ANN-MOGA)-based forecasting models were developed for forecasting the SL in the MR. The ANN-MOGA model was employed to optimize the two competing objective functions (bias and error variance) with simultaneous optimization of all associated ANN parameters. The performances of the proposed novel model were finally compared to other existing methods to verify the forecasting capability of the model. The ANN-MOGA model improved the performance by 12.81% and 10.19% compared to traditional AR and MAR regression models, respectively. The results suggested that hybrid ANN-MOGA models outperform traditional autoregressive and multivariate autoregressive forecasting models. Overall, hybrid ANN-MOGA intelligent techniques are recommended for the forecasting of SL in rivers metadata Yadav, Arvind and Ali Albahar, Marwan and Chithaluru, Premkumar and Singh, Aman and Alammari, Abdullah and Kumar, Gogulamudi Vijay and Miró Vera, Yini Airet mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es (2023) Hybridizing Artificial Intelligence Algorithms for Forecasting of Sediment Load with Multi-Objective Optimization. Water, 15 (3). p. 522. ISSN 2073-4441

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés With the advancement in information technology, digital data stealing and duplication have become easier. Over a trillion bytes of data are generated and shared on social media through the internet in a single day, and the authenticity of digital data is currently a major problem. Cryptography and image watermarking are domains that provide multiple security services, such as authenticity, integrity, and privacy. In this paper, a digital image watermarking technique is proposed that employs the least significant bit (LSB) and canny edge detection method. The proposed method provides better security services and it is computationally less expensive, which is the demand of today’s world. The major contribution of this method is to find suitable places for watermarking embedding and provides additional watermark security by scrambling the watermark image. A digital image is divided into non-overlapping blocks, and the gradient is calculated for each block. Then convolution masks are applied to find the gradient direction and magnitude, and non-maximum suppression is applied. Finally, LSB is used to embed the watermark in the hysteresis step. Furthermore, additional security is provided by scrambling the watermark signal using our chaotic substitution box. The proposed technique is more secure because of LSB’s high payload and watermark embedding feature after a canny edge detection filter. The canny edge gradient direction and magnitude find how many bits will be embedded. To test the performance of the proposed technique, several image processing, and geometrical attacks are performed. The proposed method shows high robustness to image processing and geometrical attacks metadata Faheem, Zaid Bin and Ishaq, Abid and Rustam, Furqan and de la Torre Díez, Isabel and Gavilanes, Daniel and Masías Vergara, Manuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, manuel.masias@uneatlantico.es, UNSPECIFIED (2023) Image Watermarking Using Least Significant Bit and Canny Edge Detection. Sensors, 23 (3). p. 1210. ISSN 1424-8220

Article Subjects > Engineering Universidad Internacional do Cuanza > Research > Scientific Production
Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés This research paper aims to examine the impact of innovative HRM practices, including employee participation, performance appraisal, reward and compensation, recruitment and selection, and redeployment–retraining on firm performance. For this purpose, four different models are utilized to examine the impact of innovative HRM department practices on the performance of small and medium enterprises (SMEs) in a country. The dependent variable, firm performance, is proxified by different variables such as labor productivity, product innovation, process innovation, and marketing innovation. For empirical analysis, primary data are collected using a questionnaire. Estimation is conducted using ordinary least squares (OLS) and logit regression techniques. The estimated results indicate that most innovative HRM practices have a statistically significant impact on firm performance in terms of labor productivity, product, process, and marketing innovations. These results imply that SMEs in a country may observe the benefits of devoting greater attention to innovative HRM practices to achieve their future growth potential. metadata Aslam, Mahvish and Shafi, Imran and Ahmed, Jamil and Garat de Marin, Mirtha Silvana and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, UNSPECIFIED (2023) Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises’ Performance. Sustainability, 15 (7). p. 6273. ISSN 2071-1050

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español El cumplimiento normativo, también conocido como compliance, se ha convertido en tema importante y de preocupación para las empresas en todo el mundo. En México, el cumplimiento jurídico ha adquirido cada vez más importancia debido a la creciente complejidad del marco regulatorio y a las sanciones más severas impuestas por las autoridades en caso de incumplimiento. Los sistemas de cumplimiento normativo o compliance se establecen en la legislación mexicana como atenuantes y/o excluyentes de la responsabilidad jurídica en cualquiera de las ramificaciones que a través del derecho establecen bases de sanciones para lograr un cumplimiento al que deben acceder las personas jurídicas sin proporcionar estándares mínimos de aplicación sin unificar criterios, normativos y procedimientos. Este artículo se propone ubicar las acciones normativas con las que dispone el Estado de Derecho mexicano, su marco legal y las implicaciones para las empresas que operan en el país. metadata Solis Gutierrez, Daniela Cecilia mail UNSPECIFIED (2023) Importancia del cumplimiento normativo en México. Implementación del compliance en las empresas mexicanas. MLS Law and International Politics, 2 (1). ISSN 2952-248X

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español El Sistema de Investigación de la Universidad Estatal a Distancia (UNED) ha buscado, desde su creación, propiciar una dinámica sistémica para la gestión de sus proyectos, apoyada en herramientas tecnológicas diseñadas a la medida. Esta perspectiva reta la visión tradicional de gestión de proyectos de investigación y abre posibilidades de innovación en este ámbito. Así, surge Gestiona, un software en línea para la captura de la información producida por los proyectos pertenecientes a dicho sistema de investigación. Como objetivo se ha buscado la mejora continua de Gestiona y su adaptación a los cambios del sistema de investigación de la UNED, considerando como criterio de efectividad la mínima pérdida de información posible a partir de los datos generados por los proyectos. El presente trabajo muestra cómo, una indagación sistémica del comportamiento de los actores que intervienen en los proyectos, ha permitido la mejora continua de la herramienta y la captura de datos relevantes en Gestiona, para la toma de decisiones por parte de las personas gestoras de los proyectos de investigación. Los resultados obtenidos muestran la efectividad de la indagación sistémica como una alternativa para la mejora continua de la gestión de proyectos. Asimismo, se presentan oportunidades de mejora emergentes como una característica valiosa propia del proceso de indagación sistémica. metadata Quesada Brenes, Esterlyn Mauricio and Segura Castillo, Andrés mail UNSPECIFIED (2023) Indagación sistémica para la mejora continua de las herramientas de gestión de proyectos: el caso Gestiona de la Universidad Estatal a Distancia. Project Design and Management. ISSN 2683-1597

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Regulatory dispersion and a utilitarian use of sustainability deepen the gap within the teaching–learning process and limit the introduction of sustainable criteria in organizations through projects. The objective of this research consisted in developing a sustainable and holistic educational proposal for an online postgraduate program belonging to the Universidad Europea del Atlántico (UNEATLANTICO) within the field of projects. The proposal was based on the instrumentalization of a model comprised of national and international bibliographic references, resulting in a sustainability guide with significant improvements in relation to the reference standard par excellence: ISO 26000:2010. This guide formed the basis of a sustainability management plan, which was key in the project methodology and during the development of sustainable objectives and descriptors for each of the subjects. Lastly, the entities, attributes, and cardinal relationships were established for the development of a physical model used to facilitate the management of all this information within a SQL database. The rigor when determining the educational program, as well as the subsequent analysis of results as supported by the literature review, presupposes the application of this methodology toward other multidisciplinary programs contributing to the adoption of good sustainability practices within the educational field metadata Gracia Villar, Mónica and Álvarez, Roberto Marcelo and Brie, Santiago and Miró Vera, Yini Airet and García Villena, Eduardo mail monica.gracia@uneatlantico.es, roberto.alvarez@uneatlantico.es, santiago.brie@uneatlantico.es, yini.miro@uneatlantico.es, eduardo.garcia@uneatlantico.es (2023) Integration of Sustainable Criteria in the Development of a Proposal for an Online Postgraduate Program in the Projects Area. Education Sciences, 13 (1). p. 97. ISSN 2227-7102

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Agriculture is a critical domain, where technology can have a significant impact on increasing yields, improving crop quality, and reducing environmental impact. The use of renewable energy sources such as solar power in agriculture has gained momentum in recent years due to the potential to reduce the carbon footprint of farming operations. In addition to providing a source of clean energy, solar tracking systems can also be used for remote weather monitoring in the agricultural field. The ability to collect real-time data on weather parameters such as temperature, humidity, and rainfall can help farmers make informed decisions on irrigation, pest control, and other crop management practices. The main idea of this study is to present a system that can improve the efficiency of solar panels to provide constant power to the sensor in the agricultural field and transfer real-time data to the app. This research presents a mechanism to improve the arrangement of a photovoltaic (PV) array with solar power and to produce maximum energy. The proposed system changes its direction in two axes (azimuth and elevation) by detecting the difference between the position of the sun and the panel to track the sun using a light-dependent resistor. A testbed with a hardware experimental setup is designed to test the system’s capability to track according to the position of the sun effectively. In the end, real-time data are displayed using the Android app, and the weather data are transferred to the app using a GSM/WiFi module. This research improves the existing system, and results showed that the relative increase in power generation was up to 52%. Using intelligent artificial intelligence techniques with the QoS algorithm, the quality of service produced by the existing system is improved. metadata Kanwal, Tabassum and Rehman, Saif Ur and Ali, Tariq and Mahmood, Khalid and Gracia Villar, Santos and Dzul Lopez, Luis and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@unini.edu.mx, UNSPECIFIED (2023) An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field. Agriculture, 13 (8). p. 1600. ISSN 2077-0472

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés An Internet of Things (IoT) network is prone to many ways of threatening individuals. IoT sensors are lightweight, lack complicated security protocols, and face threats to privacy and confidentiality. Hackers can attack the IoT network and access personal information and confidential data for blackmailing, and negatively manipulate data. This study aims to propose an IoT threat protection system (IoTTPS) to protect the IoT network from threats using an ensemble model RKSVM, comprising a random forest (RF), K nearest neighbor (KNN), and support vector machine (SVM) model. The software-defined networks (SDN)-based IoT network datasets such as KDD cup 99, NSL-KDD, and CICIDS are used for threat detection based on machine learning. The experimental phase is conducted by using a decision tree (DT), logistic regression (LR), Naive Bayes (NB), RF, SVM, gradient boosting machine (GBM), KNN, and the proposed ensemble RKSVM model. Furthermore, performance is optimized by adding a grid search hyperparameter optimization technique with K-Fold cross-validation. As well as the NSL-KDD dataset, two other datasets, KDD and CIC-IDS 2017, are used to validate the performance. Classification accuracies of 99.7%, 99.3%, 99.7%, and 97.8% are obtained for DoS, Probe, U2R, and R2L attacks using the proposed ensemble RKSVM model using grid search and cross-fold validation. Experimental results demonstrate the superior performance of the proposed model for IoT threat detection. metadata Akram, Urooj and Sharif, Wareesa and Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Gavilanes Aray, Daniel and Bautista Thompson, Ernesto and Diez, Isabel de la Torre and Djuraev, Sirojiddin and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, ernesto.bautista@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System. Sensors, 23 (14). p. 6379. ISSN 1424-8220

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español El presente estudio investigativo tuvo como objetivo determinar la relación del liderazgo directivo y el desarrollo productivo del sector automotriz en Guayaquil. Se incluye la teoría de equipos de alto rendimiento de Peñalver (2019), basada en la confianza, compromiso, resultados y reconocimiento. Es relevante la confianza que manifiesta un líder que dirige y apoya al equipo con seguridad. La confianza que manifiesta un líder que dirige y apoya al equipo con seguridad genera un alto grado de compromiso al equipo para el logro de resultados que se espera del directivo con capacidad de trasmitir visión y asignar responsabilidades para el cumplimiento de metas y el desarrollo de cada individuo. El estudio cumple con una metodología de una investigación No experimental – Transversal, Básica y con un nivel Descriptivo-Correlacional. En el estudio censal, se obtuvo datos relevantes con la contribución de 14 colaboradores a través de dos cuestionarios para el análisis correspondiente y una entrevista al gerente de una empresa automotriz para conocer el trabajo de los colaboradores en la empresa, cuyo fin es visualizar como el liderazgo directivo se asocia al desarrollo productivo. Dentro de los resultados se obtuvo una relación significativa de las variables, en la misma se rechaza la hipótesis nula (Ho), y se acepta la hipótesis alternativa, cuya asociación es significativa de 0,05, con un coeficiente de correlación de Spearman positivo fuerte = ,564 a siendo esto un enfoque para llevar una mejor planificación y corregir las falencias para obtener resultados óptimos en la empresa automotriz. metadata Rivera Manzano, Lisbeth Daniela mail lisbeth.rivera@doctorado.unini.edu.mx (2023) Liderazgo directivo y desarrollo productivo del sector automotriz. Project Design and Management, 5 (1). ISSN 2683-1597

Article Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés Currently, high hospital readmission rates have become a problem for mental health services, because it is directly associated with the quality of patient care. The development of predictive models with machine learning algorithms allows the assessment of readmission risk in hospitals. The main objective of this paper is to predict the readmission risk of patients with schizophrenia in a region of Spain, using machine learning algorithms. In this study, we used a dataset with 6089 electronic admission records corresponding to 3065 patients with schizophrenia disorders. Data were collected in the period 2005–2015 from acute units of 11 public hospitals in a Spain region. The Random Forest classifier obtained the best results in predicting the readmission risk, in the metrics accuracy = 0.817, recall = 0.887, F1-score = 0.877, and AUC = 0.879. This paper shows the algorithm with highest accuracy value and determines the factors associated with readmission risk of patients with schizophrenia in this population. It also shows that the development of predictive models with a machine learning approach can help improve patient care quality and develop preventive treatments. metadata Góngora Alonso, Susel and Herrera Montano, Isabel and Martín Ayala, Juan Luis and Rodrigues, Joel J. P. C. and Franco-Martín, Manuel and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, juan.martin@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region. International Journal of Mental Health and Addiction. ISSN 1557-1874

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español In this investigation, microwave radiation was used alongside a combination of Ni powder, Si powder, and La2O3 (Lanthanum oxide) powder to create surface cladding on SS-304 steel. To complete the microwave cladding process, 900 W at 2.45 GHz was used for 120 s. “Response surface methodology (RSM)” was utilized to attain the optimal combination of microwave cladding process parameters. The surface hardness of the cladding samples was taken as a response. The optimal combination of microwave cladding process parameters was found to be Si (wt.%) of 19.28, a skin depth of 4.57 µm, irradiation time of 118 s, and La2O3 (wt.%) of 11 to achieve a surface hardness of 287.25 HV. Experimental surface hardness at the corresponding microwave-cladding-process parameters was found to be 279 HV. The hardness of SS-304 was improved by about 32.85% at the optimum combination of microwave cladding process parameters. The SEM and optical microscopic images showed the presence of Si, Ni, and La2O3 particles. SEM images of the “cladding layer and surface” showed the “uniform cladding layer” with “fewer dark pixels” (yielding higher homogeneity). Higher homogeneity reduced the dimensional deviation in the developed cladding surface. XRD of the cladded surface showed the presence of FeNi, Ni2Si, FeNi3, NiSi2, Ni3C, NiC, and La2O3 phases. The “wear rate and coefficient of friction” of the developed cladded surface with 69.72% Ni, 19.28% Si, and 11% La2O3 particles were found to be 0.00367 mm3/m and 0.312, respectively. “Few dark spots” were observed on the “corroded surface”. These “dark spots” displayed “some corrosion (corrosion weight loss 0.49 mg)” in a “3.5 wt.% NaCl environment”. metadata Dwivedi, Shashi Prakash and Sharma, Shubham and Sharma, Kanta Prasad and Kumar, Abhinav and Agrawal, Ashish and Singh, Rajesh and Eldin, Sayed M. mail UNSPECIFIED (2023) The Microstructure and Properties of Ni-Si-La2O3 Coatings Deposited on 304 Stainless Steel by Microwave Cladding. Materials, 16 (6). p. 2209. ISSN 1996-1944

Article Subjects > Comunication Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés, Español Esta investigación ha sido desarrollada con el objetivo general de determinar un modelo de comunicación efectiva para la difusión de los Programas y Proyectos de Inversión Pública (PIP) del Departamento de Loreto, que ocupa la tercera parte del territorio del Perú, y, dadas sus características geográficas, existe mucha influencia cultural de Colombia y Brasil. Desde la perspectiva metodológica, se basó en un enfoque cuantitativo, de nivel descriptivo, con un diseño de campo, no experimental, transversal, que se apoyó en encuestas aplicadas a los tenientes gobernadores de los poblados ubicados en las fronteras con Colombia y Brasil. Una vez desarrollado el trabajo de campo, se realizó el procesamiento de la información, generando así el análisis descriptivo, la discusión de los resultados y la propuesta de modelo. En esencia, se llegó a la conclusión de que existen importantes limitaciones en el modelo actual de difusión de los PIP en el Departamento de Loreto, debilidades concernientes a todos los elementos de la comunicación: emisores dispersos y no preparados, receptores no caracterizados, canales desaprovechados, mensajes no codificados ni contextualizados, retroalimentación no estimulada. En vista de lo cual se diseña un Modelo de Comunicación Efectiva para la Difusión de los PIP (MCE-D-PIP) que plantea el desarrollo de una Sala Situacional de Comunicación Efectiva (SSCE– PIP), que permita potenciar los roles de productores, consumidores y prosumidores de la información, mediante la diversificación de los canales y una especializada codificación del mensaje, en función del contexto: diversidad cultural, condiciones educativas, factores tecnológicos, entre otros. metadata Gallo Infantes, Francisco Antonio and Arambarri, Jon and Lloret Romero, Nuria and Cadillo López, Claudet mail UNSPECIFIED, jon.arambarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Modelo de comunicación efectiva para la difusión de los programas y proyectos de inversión pública del Departamento de Loreto, Perú. MLS Communication Journal, 1 (2). ISSN 2792-9280

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Alzheimer’s Disease (AD) is the cause of around 60–70% of global cases of dementia and approximately 50 million people have been reported to suffer this disease worldwide. The leaves of olive trees (Olea europaea) are the most abundant by-products of the olive grove industry. These by-products have been highlighted due to the wide variety of bioactive compounds such as oleuropein (OLE) and hydroxytyrosol (HT) with demonstrated medicinal properties to fight AD. In particular, the olive leaf (OL), OLE, and HT reduced not only amyloid-β formation but also neurofibrillary tangles formation through amyloid protein precursor processing modulation. Although the isolated olive phytochemicals exerted lower cholinesterase inhibitory activity, OL demonstrated high inhibitory activity in the cholinergic tests evaluated. The mechanisms underlying these protective effects may be associated with decreased neuroinflammation and oxidative stress via NF-κB and Nrf2 modulation, respectively. Despite the limited research, evidence indicates that OL consumption promotes autophagy and restores loss of proteostasis, which was reflected in lower toxic protein aggregation in AD models. Therefore, olive phytochemicals may be a promising tool as an adjuvant in the treatment of AD. metadata Romero-Márquez, Jose M. and Forbes-Hernández, Tamara Y. and Navarro-Hortal, María D. and Quirantes-Piné, Rosa and Grosso, Giuseppe and Giampieri, Francesca and Lipari, Vivian and Sánchez-González, Cristina and Battino, Maurizio and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, jose.quiles@uneatlantico.es (2023) Molecular Mechanisms of the Protective Effects of Olive Leaf Polyphenols against Alzheimer’s Disease. International Journal of Molecular Sciences, 24 (5). p. 4353. ISSN 1422-0067

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Background and Aims The 2022-mpox outbreak has spread worldwide in a short time. Integrated knowledge of the epidemiology, clinical characteristics, and transmission of mpox are limited. This systematic review of peer-reviewed articles and gray literature was conducted to shed light on the epidemiology, clinical features, and transmission of 2022-mpox outbreak. Methods We identified 45 peer-reviewed manuscripts for data analysis. The standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement and Cochrane Collaboration were followed for conducting the study. Results The case number of mpox has increased about 100 times worldwide. About 99% of the cases in 2022 outbreak was from non-endemic regions. Men (70%–98% cases) were mostly infected with homosexual and bisexual behavior (30%–60%). The ages of the infected people ranged between 30 and 40 years. The presence of HIV and sexually transmitted infections among 30%–60% of cases were reported. Human-to-human transmission via direct contact and different body fluids were involved in the majority of the cases (90%–100%). Lesions in genitals, perianal, and anogenital areas were more prevalent. Unusually, pharyngitis (15%–40%) and proctitis (20%–40%) were more common during 2022 outbreak than pre-2022 outbreaks. Brincidofovir is approved for the treatment of smallpox by FDA (USA). Two vaccines, including JYNNEOSTM and ACAM2000®, are approved and used for pre- and post-prophylaxis in cases. About 100% of the cases in non-endemic regions were associated with isolates of IIb clade with a divergence of 0.0018–0.0035. Isolates from B.1 lineage were the most predominant followed by B.1.2 and B.1.10. Conclusion This study will add integrated knowledge of the epidemiology, clinical features, and transmission of mpox. metadata Sharif, Nadim and Sharif, Nazmul and Alzahrani, Khalid J. and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Díez, Isabel De la Torre and Lipari, Vivian and López Flores, Miguel Ángel and Parvez, Anowar K. and Dey, Shuvra K. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Molecular epidemiology, transmission and clinical features of 2022‐mpox outbreak: A systematic review. Health Science Reports, 6 (10). ISSN 2398-8835

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Antimicrobial and multidrug resistance (MDR) pathogens are becoming one of the major health threats among children. Integrated studies on the molecular epidemiology and prevalence of AMR and MDR diarrheal pathogens are lacking. A total of 404 fecal specimens were collected from children with diarrhea in Bangladesh from January 2019 to December 2021. We used conventional bacteriologic and molecular sequence analysis methods. Phenotypic and genotypic resistance were determined by disk diffusion and molecular sequencing methods. Fisher’s exact tests with 95% confidence intervals (CIs) was performed. Prevalence of bacterial infection was 63% (251 of 404) among children with diarrhea. E. coli (29%) was the most prevalent. E. coli, Shigella spp., V. cholerae, and Salmonella spp., showed the highest frequency of resistance against ceftriaxone (75–85%), and erythromycin (70–75%%). About 10–20% isolates of E. coli, V. cholerae and Shigella spp. showed MDR against cephem, macrolides, and quinolones. Significant association (p value < 0.05) was found between the phenotypic and genotypic resistance. The risk of diarrhea was the highest among the patients co-infected with E. coli and rotavirus [OR 3.6 (95% CI 1.1–5.4) (p = 0.001)] followed by Shigella spp. and rotavirus [OR 3.5 (95% CI 0.5–5.3) (p = 0.001)]. This study will provide an integrated insight of molecular epidemiology and antimicrobial resistance profiling of bacterial pathogens among children with diarrhea in Bangladesh. metadata Sharif, Nadim and Ahmed, Shamsun Nahar and Khandaker, Shamim and Monifa, Nuzhat Haque and Abusharha, Ali and Ramírez-Vargas, Debora L. and Díez, Isabel De la Torre and Kuc Castilla, Ángel Gabriel and Talukder, Ali Azam and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Multidrug resistance pattern and molecular epidemiology of pathogens among children with diarrhea in Bangladesh, 2019–2021. Scientific Reports, 13 (1). ISSN 2045-2322

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español Los cambios provocados por la globalización han construido una nueva realidad para los medios de producción y comunicación, la calidad de vida y el comportamiento, favoreciendo el surgimiento de proyectos en todo el mundo. Durante el gobierno del Partido de los Trabajadores (2003-2016), Brasil siguió esta tendencia, transformándose en un gran sitio de construcción, donde la ingeniería de exploración de petróleo y gas asumió un papel importante para la economía nacional. La alta demanda mundial de energía y el descubrimiento de la provincia del presal permitirían al país convertirse en exportador de energía y superpotencia para el año 2030, definiendo el carácter estratégico de los megaproyectos de exploración de petróleo y gas en la Cuenca de Santos, São Paulo. El programa de gobierno en la era del PT ofreció a Brasil un terreno fértil para el desarrollo económico, pero también para la ilegalidad, cuando una nueva realidad sacada a la luz en 2014 por la Operación Lava Jato desencadenó el mayor escándalo de corrupción en la historia de Brasil. La combinación de complejidad y corrupción provocó retrasos en la entrega de petróleo al mercado de consumo y enormes pérdidas financieras. La situación exigía iniciativas de apoyo a la gestión de horarios que estén a la altura del desafío, donde la respuesta esperada es la aplicación de un método de análisis de horarios – el Método FORTE v. 1.0 – responsable de la primera iniciativa integrada dirigida al cumplimiento, gestión de proyectos y conocimiento corporativo, ajustada a la realidad de los grandes proyectos de ingeniería en Brasil. La situación requería una solución de TI con diferentes características – Oracle Primavera P6 – y el resultado de la iniciativa es un conjunto de logros más allá de la gestión de proyectos, permeando todo el tejido organizacional. metadata Garat de Marin, Mirtha Silvana and Forte Silva, Marcus Vinícius mail silvana.marin@uneatlantico.es, UNSPECIFIED (2023) Método FORTE v. 1.0: una contribución a la gestión de megaproyectos de ingeniería en Brasil. Project Design and Management. ISSN 2683-1597

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Lumbar spine stenosis (LSS) is caused by low back pain that exerts pressure on the nerves in the spine. Detecting LSS is a significantly important yet difficult task. It is detected by analyzing the area of the anteroposterior diameter of the patient’s lumbar spine. Currently, the versatility and accuracy of LSS segmentation algorithms are limited. The objective of this research is to use magnetic resonance imaging (MRI) to automatically categorize LSS. This study presents a convolutional neural network (CNN)-based method to detect LSS using MRI images. Radiological grading is performed on a publicly available dataset. Four regions of interest (ROIs) are determined to diagnose LSS with normal, mild, moderate, and severe gradings. The experiments are performed on 1545 axial-view MRI images. Furthermore, two datasets—multi-ROI and single-ROI—are created. For training and testing, an 80:20 ratio of randomly selected labeled datasets is used, with fivefold cross-validation. The results of the proposed model reveal a 97.01% accuracy for multi-ROI and 97.71% accuracy for single-ROI. The proposed computer-aided diagnosis approach can significantly improve diagnostic accuracy in everyday clinical workflows to assist medical experts in decision making. The proposed CNN-based MRI image segmentation approach shows its efficacy on a variety of datasets. Results are compared to existing state-of-the-art studies, indicating the superior performance of the proposed approach. metadata Shahzadi, Turrnum and Ali, Muhammad Usman and Majeed, Fiaz and Sana, Muhammad Usman and Martínez Díaz, Raquel and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, raquel.martinez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN. Diagnostics, 13 (18). p. 2975. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés COVID-19 is an infectious disease caused by the deadly virus SARS-CoV-2 that affects the lung of the patient. Different symptoms, including fever, muscle pain and respiratory syndrome, can be identified in COVID-19-affected patients. The disease needs to be diagnosed in a timely manner, otherwise the lung infection can turn into a severe form and the patient’s life may be in danger. In this work, an ensemble deep learning-based technique is proposed for COVID-19 detection that can classify the disease with high accuracy, efficiency, and reliability. A weighted average ensemble (WAE) prediction was performed by combining three CNN models, namely Xception, VGG19 and ResNet50V2, where 97.25% and 94.10% accuracy was achieved for binary and multiclass classification, respectively. To accurately detect the disease, different test methods have been proposed and developed, some of which are even being used in real-time situations. RT-PCR is one of the most successful COVID-19 detection methods, and is being used worldwide with high accuracy and sensitivity. However, complexity and time-consuming manual processes are limitations of this method. To make the detection process automated, researchers across the world have started to use deep learning to detect COVID-19 applied on medical imaging. Although most of the existing systems offer high accuracy, different limitations, including high variance, overfitting and generalization errors, can be found that can degrade the system performance. Some of the reasons behind those limitations are a lack of reliable data resources, missing preprocessing techniques, a lack of proper model selection, etc., which eventually create reliability issues. Reliability is an important factor for any healthcare system. Here, transfer learning with better preprocessing techniques applied on two benchmark datasets makes the work more reliable. The weighted average ensemble technique with hyperparameter tuning ensures better accuracy than using a randomly selected single CNN model. metadata Chakraborty, Gouri Shankar and Batra, Salil and Singh, Aman and Muhammad, Ghulam and Yélamos Torres, Vanessa and Mahajan, Makul mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, vanessa.yelamos@funiber.org, UNSPECIFIED (2023) A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling. Diagnostics, 13 (10). p. 1806. ISSN 2075-4418

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Portugués O estudo aqui apresentado tem como objetivo apresentar sobre o acesso à primeira etapa daEducação básica, Educação Infantil, de 0 a 5 anos no Estado de Mato Grosso, Brasil. A contribuição doestudo, se manifesta por entender sobre a importância do trabalho realizado no âmbito educacional pordireito da criança. A infância é o período que se alicerça toda a estrutura de um indivíduo, em todas asdimensões. Oportunamente, a relevância do desenvolvimento desta pesquisa vem investigar sobre: comoestá o acesso à Educação Infantil no Estado de Mato Grosso, estando ao final do Plano Nacional deEducação?O método de pesquisa foi realizado através de pesquisa quantitativa, a partir do Censo escolar,Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP) e Instituto Brasileiro deGeografia e Estatística (IBGE) dos últimos anos (2010 a 2021).A análise ocorreu de natureza básica, a partir dos dados numéricos e estatísticos por meio detabelas, gráficos e descrição dos dados. metadata Tadeu Queiroz de Moraes, Carlos and Cadidé Vilela, Maria Cristiana mail UNSPECIFIED (2023) O acesso à educação infantil no estado de Mato Grosso–Brasil: ao final do Plano Nacional de Educação (2014-2024). Project Design and Management. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The rising popularity of online shopping has led to a steady stream of new product evaluations. Consumers benefit from these evaluations as they make purchasing decisions. Many research projects rank products using these reviews, however, most of these methodologies have ignored negative polarity while evaluating products for client needs. The main contribution of this research is the inclusion of negative polarity in the analysis of product rankings alongside positive polarity. To account for reviews that contain many sentiments and different elements, the suggested method first breaks them down into sentences. This process aids in determining the polarity of products at the phrase level by extracting elements from product evaluations. The next step is to link the polarity to the review’s sentence-level features. Products are prioritized following user needs by assigning relative importance to each of the polarities. The Amazon review dataset has been used in the experimental assessments so that the efficacy of the suggested approach can be estimated. Experimental evaluation of PRUS utilizes rank score ( RS ) and normalized discounted cumulative gain ( nDCG ) score. Results indicate that PRUS gives independence to the user to select recommended list based on specific features with respect to positive or negative aspects of the products. metadata Hussain, Naveed and Mirza, Hamid Turab and Iqbal, Faiza and Altaf, Ayesha and Shoukat, Ahtsham and Gracia Villar, Mónica and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, UNSPECIFIED (2023) PRUS: Product Recommender System Based on User Specifications and Customers Reviews. IEEE Access, 11. pp. 81289-81297. ISSN 2169-3536

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Cerrado Inglés Inflammatory bowel disease (IBD) patients are at substantially higher risk of colorectal cancer (CRC) and IBD-associated CRC accounts for roughly 10-15% of the annual mortality in IBD patients. IBD-related CRC also affects younger patients if compared with sporadic CRC, with a 5-year survival rate of 50%. Regardless of medical therapies, the persistent inflammation state characterizing IBD raises the risk for precancerous changes and CRC, with additional input from several elements including genetic and environmental risk factors, IBD-associated comorbidities, intestinal barrier disfunction, and gut microbiota modifications. It is well known that nutritional habits and dietary bioactive compounds can influence IBD-associated inflammation, microbiome abundance and composition, oxidative stress balance, and gut permeability. In addition, in the last years, results from broad epidemiological and experimental studies have associated certain foods or nutritional patterns with the risk of colorectal neoplasia. Here we review the possible role of nutrition in the prevention of IBD-related CRC, focusing specifically on human studies. In conclusion it emerges that nutritional interventions based on healthy, nutrient-dense dietary patterns characterized by a high intake of fiber, vegetables, fruit, Omega-3 PUFAs, and low amount of animal proteins, processed foods and alcohol, combined with probiotic supplementation have the potential of reducing IBD-activity and preventing the risk of IBD-related CRC through different mechanisms, suggesting that targeted nutritional interventions may represent a novel promising approach for the prevention and management of IBD-associated CRC. metadata Cassotta, Manuela and Cianciosi, Danila and De Giuseppe, Rachele and Navarro-Hortal, Maria Dolores and Diaz, Yasmany Armas and Forbes-Hernández, Tamara Yuliett and Tutusaus, Kilian and Pascual Barrera, Alina Eugenia and Grosso, Giuseppe and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca mail manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) Possible role of nutrition in the prevention of Inflammatory Bowel Disease-related colorectal cancer: a focus on human studies. Nutrition. p. 111980. ISSN 08999007

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés This paper introduces a power quality (PQ) detection and categorization algorithm actuated by multiple signal processing techniques and rule-based decision tree (RBDT). This is aimed to recognize PQ events of simple nature and higher order multiplicity with less computational time using hybridization of the signal processing techniques. A voltage waveform with a PQ event (PQE) is processed using the Stockwell transform (ST) to compute the Stockwell PQ detection index (SPDI). The voltage waveform is also processed using the Hilbert transform (HT) to compute the Hilbert PQ detection index (HPDI). A voltage waveform is also decomposed using the Discrete Wavelet transform (DWT) to compute the classification feature index (CFI) [CFI1 to CFI4]. A combined PQ detection index (CPDI) is computed by multiplication of the SPDI, the HPDI and CFI1 to CFI4. Incidence of a PQE on a voltage signal is located with the help of a location PQ disturbance index (LPDI) which is computed by differentiating the CPDI with respect to time. CFI5, CFI6 and CFI7 are computed from the SPDI, the HPDI and the CPDI, respectively. Categorization of PQ events is performed using CFI1 to CFI7 by the rule-based decision tree (RBDT) with the help of simple decision rules. We conclude that the proposed algorithm is effective to identify the PQE with an accuracy of 98.58% in a noise-free environment and 97.62% in the presence of 20 dB SNR (signal-to-noise ratio) noise. Ten simple nature PQEs and eight combined PQ events (CPQEs) with multiplicity of two, three and four are effectively detected and categorized using the algorithm. The algorithm is also tested to detect a sag PQ event due to a line-to-ground (LG) fault incident on a practical distribution utility network. The performance of the investigated method is compared with a DWT-based technique in terms of accuracy of classification with and without noise, maximum computational time of PQ detection and multiplicity of PQE which can be effectively detected. A simulation is performed using the MATLAB software. MATLAB codes are used for modelling the PQE disturbances and the proposed algorithm using mathematical formulations. metadata Singh, Surendra and Sharma, Avdhesh and Garg, Akhil Ranjan and Mahela, Om Prakash and Khan, Baseem and Boulkaibet, Ilyes and Neji, Bilel and Ali, Ahmed and Brito Ballester, Julién mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es (2023) Power Quality Detection and Categorization Algorithm Actuated by Multiple Signal Processing Techniques and Rule-Based Decision Tree. Sustainability, 15 (5). p. 4317. ISSN 2071-1050

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Objective The aim was to explore the association of demographic and prehospital parameters with short-term and long-term mortality in acute life-threatening cardiovascular disease by using a hazard model, focusing on elderly individuals, by comparing patients under 75 years versus patients over 75 years of age. Design Prospective, multicentre, observational study. Setting Emergency medical services (EMS) delivery study gathering data from two back-to-back studies between 1 October 2019 and 30 November 2021. Six advanced life support (ALS), 43 basic life support and five hospitals in Spain were considered. Participants Adult patients suffering from acute life-threatening cardiovascular disease attended by the EMS. Primary and secondary outcome measures The primary outcome was in-hospital mortality from any cause within the first to the 365 days following EMS attendance. The main measures included prehospital demographics, biochemical variables, prehospital ALS techniques used and syndromic suspected conditions. Results A total of 1744 patients fulfilled the inclusion criteria. The 365-day cumulative mortality in the elderly amounted to 26.1% (229 cases) versus 11.6% (11.6%) in patients under 75 years old. Elderly patients (≥75 years) presented a twofold risk of mortality compared with patients ≤74 years. Life-threatening interventions (mechanical ventilation, cardioversion and defibrillation) were also related to a twofold increased risk of mortality. Importantly, patients suffering from acute heart failure presented a more than twofold increased risk of mortality. Conclusions This study revealed the prehospital variables associated with the long-term mortality of patients suffering from acute cardiovascular disease. Our results provide important insights for the development of specific codes or scores for cardiovascular diseases to facilitate the risk of mortality characterisation. metadata del Pozo Vegas, Carlos and Zalama-Sánchez, Daniel and Sanz-Garcia, Ancor and López-Izquierdo, Raúl and Sáez-Belloso, Silvia and Mazas Pérez-Oleaga, Cristina and Dominguez Azpíroz, Irma and Elío Pascual, Iñaki and Martín-Rodríguez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, irma.dominguez@unini.edu.mx, inaki.elio@uneatlantico.es, UNSPECIFIED (2023) Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study. BMJ Open, 13 (11). e078815. ISSN 2044-6055

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Background: Nowadays, there is no gold standard score for prehospital sepsis and sepsis-related mortality identification. The aim of the present study was to analyze the performance of qSOFA, NEWS2 and mSOFA as sepsis predictors in patients with infection-suspected in prehospital care. The second objective is to study the predictive ability of the aforementioned scores in septic-shock and in-hospital mortality. Methods: Prospective, ambulance-based, and multicenter cohort study, developed by the emergency medical services, among patients (n = 535) with suspected infection transferred by ambulance with high-priority to the emergency department (ED). The study enrolled 40 ambulances and 4 ED in Spain between 1 January 2020, and 30 September 2021. All the variables used in the scores, in addition to socio-demographic data, standard vital signs, prehospital analytical parameters (glucose, lactate, and creatinine) were collected. For the evaluation of the scores, the discriminative power, calibration curve and decision curve analysis (DCA) were used. Results: The mSOFA outperformed the other two scores for mortality, presenting the following AUCs: 0.877 (95%CI 0.841–0.913), 0.761 (95%CI 0.706–0.816), 0.731 (95%CI 0.674–0.788), for mSOFA, NEWS, and qSOFA, respectively. No differences were found for sepsis nor septic shock, but mSOFA’s AUCs was higher than the one of the other two scores. The calibration curve and DCA presented similar results. Conclusion: The use of mSOFA could provide and extra insight regarding the short-term mortality and sepsis diagnostic, backing its recommendation in the prehospital scenario. metadata Melero-Guijarro, Laura and Sanz-García, Ancor and Martín-Rodríguez, Francisco and Lipari, Vivian and Mazas Pérez-Oleaga, Cristina and Carvajal-Altamiranda, Stefanía and Martínez López, Nohora Milena and Dominguez Azpíroz, Irma and Castro Villamor, Miguel A. and Sánchez Soberón, Irene and López-Izquierdo, Raúl mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, cristina.mazas@uneatlantico.es, stefania.carvajal@uneatlantico.es, nohora.martinez@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study. Frontiers in Medicine, 10. ISSN 2296-858X

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Introduction: Rotavirus infection is a major cause of mortality among children under 5 years in Bangladesh. There is lack of integrated studies on rotavirus prevalence and genetic diversity during 1973 to 2023 in Bangladesh. Methods: This meta-analysis was conducted to determine the prevalence, genotypic diversity and seasonal distribution of rotavirus during pre-vaccination period in Bangladesh. This study included published articles on rotavirus A, rotavirus B and rotavirus C. We used Medline, Scopus and Google Scholar for published articles. Selected literatures were published between 1973 to 2023. Results: This study detected 12431 research articles published on rotavirus. Based on the inclusion criteria, 29 of 75 (30.2%) studies were selected. Molecular epidemiological data was taken from 29 articles, prevalence data from 29 articles, and clinical symptoms from 19 articles. The pooled prevalence of rotavirus was 30.1% (95% CI: 22%-45%, p = 0.005). Rotavirus G1 (27.1%, 2228 of 8219) was the most prevalent followed by G2 (21.09%, 1733 of 8219), G4 (11.58%, 952 of 8219), G9 (9.37%, 770 of 8219), G12 (8.48%, 697 of 8219), and G3 (2.79%, 229 of 8219), respectively. Genotype P[8] (40.6%, 2548 of 6274) was the most prevalent followed by P[4] (12.4%, 777 of 6274) and P[6] (6.4%, 400 of 6274), respectively. Rotavirus G1P[8] (19%) was the most frequent followed by G2P [4] (9.4%), G12P[8] (7.2%), and G9P[8], respectively. Rotavirus infection had higher odds of occurrence during December and February (aOR: 2.86, 95% CI: 2.43-3.6, p = 0.001). Discussion: This is the first meta-analysis including all the studies on prevalence, molecular epidemiology, and genetic diversity of rotavirus from 1973 to 2023, pre-vaccination period in Bangladesh. This study will provide overall scenario of rotavirus genetic diversity and seasonality during pre-vaccination period and aids in policy making for rotavirus vaccination program in Bangladesh. This work will add valuable knowledge for vaccination against rotavirus and compare the data after starting vaccination in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Díez, Isabel De la Torre and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and genetic diversity of rotavirus in Bangladesh during pre-vaccination period, 1973-2023: a meta-analysis. Frontiers in Immunology, 14. ISSN 1664-3224

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Introduction: Co-prevalence of long-COVID-19, cardiovascular diseases and diabetes is one of the major health challenges of the pandemic worldwide. Studies on long-COVID-19 and associated health outcomes are absent in Bangladesh. The main aim of this study was to determine the prevalence and impact of long-COVID-19 on preexisting diabetes and cardiovascular diseases (CVD) on health outcomes among patients in Bangladesh. Methods: We collected data from 3,250 participants in Bangladesh, retrospectively. Multivariable logistic regression model was used to determine the odds ratio between independent and dependent variables. Kaplan-Meier survival curve was used to determine the cumulative survival. Results: COVID-19 was detected among 73.4% (2,385 of 3,250) participants. Acute long-COVID-19 was detected among 28.4% (678 of 2,385) and chronic long-COVID-19 among 71.6% (1,707 of 2,385) patients. CVD and diabetes were found among 32%, and 24% patients, respectively. Mortality rate was 18% (585 of 3,250) among the participants. Co-prevalence of CVD, diabetes and COVID-19 was involved in majority of fatality (95%). Fever (97%), dry cough (87%) and loss of taste and smell (85%) were the most prevalent symptoms. Patients with co-prevalence of CVD, diabetes and COVID-19 had higher risk of fatality (OR: 3.65, 95% CI, 2.79–4.24). Co-prevalence of CVD, diabetes and chronic long-COVID-19 were detected among 11.9% patients. Discussion: Risk of hospitalization and fatality reduced significantly among the vaccinated. This is one of the early studies on long-COVID-19 in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Alzahrani, Khalid J. and Díez, Isabel De la Torre and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh. Frontiers in Public Health, 11. ISSN 2296-2565

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español El menoscabo al derecho de trabajo ha sido un problema social en Guatemala, que ha afectado a trabajadores desde siglos pasados, fueron objeto de torturas y esclavitud, en el presente siglo la esclavitud ya no es muy notoria, gracias a la protección de derechos humanos; aun así existe abuso de patrono hacía el trabajador, no paga un salario justo, no pagar la indemnización es otro factor para demandar al patrono ante Juzgado de Trabajo, agotada la vía administrativa entra en conflicto laboral con el patrono ante un Juzgado jurisdiccional, que conoce y resuelve, basado en ley vigente, con la protección jurídica preferente, ello despierta el interés de analizar profundamente los derechos humanos, principios del derecho, que no se viole el debido proceso; las normas vigentes en materia laboral aportan elementos para el bien común de las partes, tomando el Principio de tutelaridad que asiste a todos los trabajadores basado en la C.P.R.G, 4, 44, 46, 101-117, leyes locales e internacionales, si no se aplica la justicia se ve afectada la esfera jurídica en el presente estudio se analizó al derecho comparado como instrumento legal que compara características de diferentes sistemas jurídicos que se aplican para solucionar de forma justa los problemas laborales, normas que favorecen a Guatemala: convención sobre derechos del niño, Pacto San José, convención de viena, la OIT, DUDH con similitud a derechos civiles en materia jurídica internacional para propiciar un trabajo digno, para el bien común, la armonía y la paz de la sociedad. metadata López Herrera, Josefa Eufemia mail UNSPECIFIED (2023) Principio de tutelaridad protección jurídica preferente ante el menoscabo al derecho del trabajo. MLS Law and International Politics, 2 (1). ISSN 2952-248X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Railway track faults may lead to railway accidents and cause human and financial loss. Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts, misalignment, and cracks leading to accidents. Manual inspection of such defects is time-consuming and prone to errors. Automatic inspection provides a fast, reliable, and unbiased solution. However, highly accurate fault detection is challenging due to the lack of public datasets, noisy data, inefficient models, etc. To obtain better performance, this study presents a novel approach that relies on mel frequency cepstral coefficient features from acoustic data. The primary objective of this study is to increase fault detection performance. As well as designing an ensemble model, we utilize selective features using chi-square(chi2) that have high importance with respect to the target class. Extensive experiments were carried out to analyze the efficiency of the proposed approach. The experimental results suggest that using 60 features, 40 original features, and 20 chi2 features produces optimal results both regarding accuracy and computational complexity. A mean accuracy score of 0.99 was obtained using the proposed approach with machine learning models using the collected data. Moreover, this performance was significantly better than that of existing approaches; however, the performance of models may vary in real-world settings. metadata Rustam, Furqan and Ishaq, Abid and Hashmi, Muhammad Shadab Alam and Siddiqui, Hafeez Ur Rehman and Dzul Lopez, Luis and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data. Sensors, 23 (16). p. 7018. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Non-word and real-word errors are generally two types of spelling errors. Non-word errors are misspelled words that are nonexistent in the lexicon while real-word errors are misspelled words that exist in the lexicon but are used out of context in a sentence. Lexicon-based lookup approach is widely used for non-word errors but it is incapable of handling real-word errors as they require contextual information. Contrary to the English language, real-word error detection and correction for low-resourced languages like Urdu is an unexplored area. This paper presents a real-word spelling error detection and correction approach for the Urdu language. We develop an extensive lexicon of 593,738 words and use this lexicon to develop a dataset for real-word errors comprising 125562 sentences and 2,552,735 words. Based on the developed lexicon and dataset, we then develop a contextual spell checker that detects and corrects real-word errors. For the real-word error detection phase, word-gram features are used along with five machine learning classifiers, achieving a precision, recall, and F1-score of 0.84,0.79, and 0.81 respectively. We also test the proposed approach with a 40% error density. For real-word error correction, the Damerau-Levenshtein distance is used along with the n-gram model for further ranking of the suggested candidate words, achieving an accuracy of up to 83.67%. metadata Aziz, Romila and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Bajwa, Usama Ijaz and Kuc Castilla, Ángel Gabriel and Uc-Rios, Carlos and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.uc@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Real Word Spelling Error Detection and Correction for Urdu Language. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Recent developments in quantum computing have shed light on the shortcomings of the conventional public cryptosystem. Even while Shor’s algorithm cannot yet be implemented on quantum computers, it indicates that asymmetric key encryption will not be practicable or secure in the near future. The National Institute of Standards and Technology (NIST) has started looking for a post-quantum encryption algorithm that is resistant to the development of future quantum computers as a response to this security concern. The current focus is on standardizing asymmetric cryptography that should be impenetrable by a quantum computer. This has become increasingly important in recent years. Currently, the process of standardizing asymmetric cryptography is coming very close to being finished. This study evaluated the performance of two post-quantum cryptography (PQC) algorithms, both of which were selected as NIST fourth-round finalists. The research assessed the key generation, encapsulation, and decapsulation operations, providing insights into their efficiency and suitability for real-world applications. Further research and standardization efforts are required to enable secure and efficient post-quantum encryption. When selecting appropriate post-quantum encryption algorithms for specific applications, factors such as security levels, performance requirements, key sizes, and platform compatibility should be taken into account. This paper provides helpful insight for post-quantum cryptography researchers and practitioners, assisting in the decision-making process for selecting appropriate algorithms to protect confidential data in the age of quantum computing. metadata Farooq, Sana and Altaf, Ayesha and Iqbal, Faiza and Bautista Thompson, Ernesto and Ramírez-Vargas, Debora L. and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2023) Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms. Sensors, 23 (12). p. 5379. ISSN 1424-8220

Article Subjects > Social Sciences Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés In the last two decades, there is an increasingly broad line of studies that warn about the emotional health of journalists and the challenges that it poses for communication professionals to be able to separate work issues from their personal lives. The coverage of COVID-19 exposed many journalists to situations of frustration, discomfort and stress for various reasons: long working hours, not having the appropriate technological material, added to an environment of uncertainty caused by the pandemic. This study aims to examine the possible scope of technostress –in some cases associated to digital divide– in journalists and analyze if they are aware of the uses of care of the self as a way to deal with stressful situations. For this, our research is based on documentary analysis, a survey answered by (50) fifty Argentinean journalists, and twelve (12) in-depth interviews to experienced journalists. Our findings suggest that constant exposure to computers and smartphones during the lockdown together with difficulties to connect to Internet or to have the adequate materials and the lack of coping strategies –as the care of the self– confirms the presence of technostress. Another result that emerges from this research, it should be addressed in future studies, is that some journalists’ reactions about care of the self could respond to the third person effect theory to maintain high self-esteem and not demonstrate vulnerability. metadata Escudero, Carolina and Prola, Thomas and Soriano Flores, Emmanuel and Silva Alvarado, Eduardo René mail UNSPECIFIED, thomas.prola@uneatlantico.es, emmanuel.soriano@uneatlantico.es, eduardo.silva@funiber.org (2023) The Scope of Technostress and Care of The Self on Journalists During the Pandemic. Przestrzeń Społeczna (Social Space), 23 (4). pp. 20-43. ISSN 20841558

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The rapid generation of data from various sources by the public sector, private corporations, business associations, and local communities is referred to as big data. This large and complex dataset is often regarded as the ‘new oil’ by public administrations (PAs), and data-driven approaches are employed to transform it into valuable insights that can improve governance, transparency, digital services, and public engagement. The government’s big-data ecosystem (GBDE) is a result of this initiative. Effective data management is the first step towards large-scale data analysis, which yields insights that benefit your work and your customers. However, managing big data throughout its life cycle is a daunting challenge for public agencies. Despite its widespread use, big data management is still a significant obstacle. To address this issue, this study proposes a hybrid approach to secure the data management life cycle for GBDE. Specifically, we use a combination of the ECC algorithm with AES 128 BITS encryption to ensure that the data remain confidential and secure. We identified and analyzed various data life cycle models through a systematic literature review to create a data management life cycle for data-driven governments. This approach enhances the security and privacy of data management and addresses the challenges faced by public agencies. metadata Zahid, Reeba and Altaf, Ayesha and Ahmad, Tauqir and Iqbal, Faiza and Miró Vera, Yini Airet and López Flores, Miguel Ángel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED (2023) Secure Data Management Life Cycle for Government Big-Data Ecosystem: Design and Development Perspective. Systems, 11 (8). p. 380. ISSN 2079-8954

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Cerrado Inglés Silicon photonics is rapidly evolving as an advanced chip framework for implementing quantum technologies. With the help of silicon photonics, general-purpose programmable networks with hundreds of discrete components have been developed. These networks can compute quantum states generated on-chip as well as more extraordinary functions like quantum transmission and random number generation. In particular, the interfacing of silicon photonics with complementary metal oxide semiconductor (CMOS) microelectronics enables us to build miniaturized quantum devices for next-generation sensing, communication, and generating randomness for assembling quantum computers. In this review, we assess the significance of silicon photonics and its interfacing with microelectronics for achieving the technology milestones in the next generation of quantum computers and quantum communication. To this end, especially, we have provided an overview of the mechanism of a homodyne detector and the latest state-of-the-art of measuring squeezed light along with its integration on a photonic chip. Finally, we present an outlook on future studies that are considered beneficial for the wide implementation of silicon photonics for distinct data-driven applications with maximum throughput. metadata Gupta, Rajeev and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Yadav, Neha and Brajpuriya, Ranjeet and Yadav, Ashish and Wu, Yongling and Zheng, Hongyu and Biswas, Abhijit and Suhir, Ephraim and Yadav, Vikram Singh and Kumar, Tanuj and Verma, Ajay Singh mail UNSPECIFIED (2023) Silicon photonics interfaced with microelectronics for integrated photonic quantum technologies: a new era in advanced quantum computers and quantum communications? Nanoscale. ISSN 2040-3364

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Software cost and effort estimation is one of the most significant tasks in the area of software engineering. Research conducted in this field has been evolving with new techniques that necessitate periodic comparative analyses. Software project success largely depends on accurate software cost estimation as it gives an idea of the challenges and risks involved in the development. The great diversity of ML and Non-ML techniques has generated a comparison and progressed into the integration of these techniques. Based on varying advantages it has become imperative to work out preferred estimation techniques to improve the project development process. This study aims to present a systematic literature review (SLR) to investigate the trends of the articles published in the recent one and a half decades and to propose a way forward. This systematic literature review has proposed a three-stage approach to plan (Tollgate approach), conduct (Likert type scale), and report the results from five renowned digital libraries. For the selected 52 articles, artificial neural network model (ANN) and constructive cost model (COCOMO) based approaches have been the favored techniques. The mean magnitude of relative error (MMRE) has been the preferred accuracy metric, software engineering, and project management are the most relevant fields, and the promise repository has been identified as the widely accessed database. This review is likely to be of value for the development, cost, and effort estimations. metadata Rashid, Chaudhary Hamza and Shafi, Imran and Ahmad, Jamil and Bautista Thompson, Ernesto and Masías Vergara, Manuel and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, manuel.masias@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Software Cost and Effort Estimation: Current Approaches and Future Trends. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Safety critical spare parts hold special importance for aviation organizations. However, accurate forecasting of such parts becomes challenging when the data are lumpy or intermittent. This research paper proposes an artificial neural network (ANN) model that is able to observe the recent trends of error surface and responds efficiently to the local gradient for precise spare prediction results marked by lumpiness. Introduction of the momentum term allows the proposed ANN model to ignore small variations in the error surface and to behave like a low-pass filter and thus to avoid local minima. Using the whole collection of aviation spare parts having the highest demand activity, an ANN model is built to predict the failure of aircraft installed parts. The proposed model is first optimized for its topology and is later trained and validated with known historical demand datasets. The testing phase includes introducing input vector comprising influential factors that dictate sporadic demand. The proposed approach is found to provide superior results due to its simple architecture and fast converging training algorithm once evaluated against some other state-of-the-art models from the literature using related benchmark performance criteria. The experimental results demonstrate the effectiveness of the proposed approach. The accurate prediction of the cost-heavy and critical spare parts is expected to result in huge cost savings, reduce downtime, and improve the operational readiness of drones, fixed wing aircraft and helicopters. This also resolves the dead inventory issue as a result of wrong demands of fast moving spares due to human error. metadata Shafi, Imran and Sohail, Amir and Ahmad, Jamil and Martínez Espinosa, Julio César and Dzul Lopez, Luis Alonso and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Spare Parts Forecasting and Lumpiness Classification Using Neural Network Model and Its Impact on Aviation Safety. Applied Sciences, 13 (9). p. 5475. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Stress is now a serious disease that exists due to changes in working life and food ecosystems around the world. In general, it is difficult for a person to know if they are under stress. According to previous research, temperature, heart rate variability (HRV), humidity, and blood pressure are used to assess stress levels with the use of instruments. With the development of sensor technology and wireless connectivity, people around the world are adopting and using smart devices. In this study, a bio signal detection device with Internet of Things (IoT) capability with a galvanic skin reaction (GSR) sensor is proposed and built for real-time stress monitoring. The proposed device is based on an Arduino controller and Bluetooth communication. To evaluate the performance of the system, physical stress is created on 10 different participants with three distinct tasks namely reading, visualizing the timer clock, and watching videos. MATLAB analysis is performed for identifying the three different levels of stress and obtaining the threshold values as if the person GSR voltage i.e., relaxed for <1.75 volts; Normal: between 1.75 and 1.44 volts and stressed: >1.44 volts. In addition, LabVIEW is used as a data acquisition system, and a Blueterm mobile application is also used to view the sensor reading received from the device through Bluetooth communication. metadata Singh, Rajesh and Gehlot, Anita and Saxena, Ritika and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Vaseem Akram, Shaik and Choudhury, Sushabhan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI. Computers, Materials & Continua, 74 (1). pp. 1217-1233. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Data mining is an analytical approach that contributes to achieving a solution to many problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable information from massive datasets. Clustering in data mining is used for splitting or segmenting data items/points into meaningful groups and clusters by grouping the items that are near to each other based on certain statistics. This paper covers various elements of clustering, such as algorithmic methodologies, applications, clustering assessment measurement, and researcher-proposed enhancements with their impact on data mining thorough grasp of clustering algorithms, its applications, and the advances achieved in the existing literature. This study includes a literature search for papers published between 1995 and 2023, including conference and journal publications. The study begins by outlining fundamental clustering techniques along with algorithm improvements and emphasizing their advantages and limitations in comparison to other clustering algorithms. It investigates the evolution measures for clustering algorithms with an emphasis on metrics used to gauge clustering quality, such as the F-measure and the Rand Index. This study includes a variety of clustering-related topics, such as algorithmic approaches, practical applications, metrics for clustering evaluation, and researcher-proposed improvements. It addresses numerous methodologies offered to increase the convergence speed, resilience, and accuracy of clustering, such as initialization procedures, distance measures, and optimization strategies. The work concludes by emphasizing clustering as an active research area driven by the need to identify significant patterns and structures in data, enhance knowledge acquisition, and improve decision making across different domains. This study aims to contribute to the broader knowledge base of data mining practitioners and researchers, facilitating informed decision making and fostering advancements in the field through a thorough analysis of algorithmic enhancements, clustering assessment metrics, and optimization strategies. metadata Chaudhry, Mahnoor and Shafi, Imran and Mahnoor, Mahnoor and Ramírez-Vargas, Debora L. and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective. Symmetry, 15 (9). p. 1679. ISSN 2073-8994

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Disaster management is a critical area that requires efficient methods and techniques to address various challenges. This comprehensive assessment offers an in-depth overview of disaster management systems, methods, obstacles, and potential future paths. Specifically, it focuses on flood control, a significant and recurrent category of natural disasters. The analysis begins by exploring various types of natural catastrophes, including earthquakes, wildfires, and floods. It then delves into the different domains that collectively contribute to effective flood management. These domains encompass cutting-edge technologies such as big data analysis and cloud computing, providing scalable and reliable infrastructure for data storage, processing, and analysis. The study investigates the potential of the Internet of Things and sensor networks to gather real-time data from flood-prone areas, enhancing situational awareness and enabling prompt actions. Model-driven engineering is examined for its utility in developing and modeling flood scenarios, aiding in preparation and response planning. This study includes the Google Earth engine (GEE) and examines previous studies involving GEE. Moreover, we discuss remote sensing; remote sensing is undoubtedly a valuable tool for disaster management, and offers geographical data in various situations. We explore the application of Geographical Information System (GIS) and Spatial Data Management for visualizing and analyzing spatial data and facilitating informed decision-making and resource allocation during floods. In the final section, the focus shifts to the utilization of machine learning and data analytics in flood management. These methodologies offer predictive models and data-driven insights, enhancing early warning systems, risk assessment, and mitigation strategies. Through this in-depth analysis, the significance of incorporating these spheres into flood control procedures is highlighted, with the aim of improving disaster management techniques and enhancing resilience in flood-prone regions. The paper addresses existing challenges and provides future research directions, ultimately striving for a clearer and more coherent representation of disaster management techniques. metadata Khan, Saad Mazhar and Shafi, Imran and Butt, Wasi Haider and Diez, Isabel de la Torre and López Flores, Miguel Ángel and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, miguelangel.lopez@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions. Land, 12 (8). p. 1514. ISSN 2073-445X

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. metadata Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel mail UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight. Journal of Medical Systems, 47 (1). ISSN 1573-689X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production Abierto Inglés Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets, capable of reducing investment risks and aiding in selecting highly profitable stocks by achieving precise predictions. This holds immense value for investors, as it empowers them to make data-driven decisions. Identifying current and future trends in multi-class forecasting techniques employed within financial markets, particularly profitability analysis as an evaluation metric is important. The review focuses on examining stud-ies conducted between 2018 and 2023, sourced from three prominent academic databases. A meticulous three-stage approach was employed, encompassing the systematic planning, conduct, and analysis of the se-lected studies. Specifically, the analysis emphasizes technical assessment, profitability analysis, hybrid mod-eling, and the type of results generated by models. Articles were shortlisted based on inclusion and exclusion criteria, while a rigorous quality assessment through ten quality criteria questions, utilizing a Likert-type scale was employed to ensure methodological robustness. We observed that ensemble and hybrid models with long short-term memory (LSTM) and support vector machines (SVM) are being more adopted for financial trends and price prediction. Moreover, hybrid models employing AI algorithms for feature engineering have great potential at par with ensemble techniques. Most studies only employ performance metrics and lack utilization of profitability metrics or investment or trading strategy (simulated or real-time). Similarly, research on multi-class or output is severely lacking in financial forecasting and can be a good avenue for future research. metadata Khattak, Bilal Hassan Ahmed and Shafi, Imran and Khan, Abdul Saboor and Soriano Flores, Emmanuel and García Lara, Roberto and Samad, Md. Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis. IEEE Access, 11. pp. 125359-125380. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés With a view of the post-COVID-19 world and probable future pandemics, this paper presents an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a mixed approach using data augmentation, transfer learning, and deep learning techniques and does not require physical interaction between the patient and physician. Through a user-friendly graphic user interface and availability of suitable computing power on smart devices, the embedded artificial intelligence allows the proposed model to be effectively used by a layperson without the need for a dental expert by indicating any issues with the teeth and subsequent treatment options. The proposed method involves multiple processes, including data acquisition using IoT devices, data preprocessing, deep learning-based feature extraction, and classification through an unsupervised neural network. The dataset contains multiple periapical X-rays of five different types of lesions obtained through an IoT device mounted within the mouth guard. A pretrained AlexNet, a fast GPU implementation of a convolutional neural network (CNN), is fine-tuned using data augmentation and transfer learning and employed to extract the suitable feature set. The data augmentation avoids overtraining, whereas accuracy is improved by transfer learning. Later, support vector machine (SVM) and the K-nearest neighbors (KNN) classifiers are trained for lesion classification. It was found that the proposed automated model based on the AlexNet extraction mechanism followed by the SVM classifier achieved an accuracy of 98%, showing the effectiveness of the presented approach. metadata Shafi, Imran and Sajad, Muhammad and Fatima, Anum and Gavilanes Aray, Daniel and Lipari, Vivian and Diez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Teeth Lesion Detection Using Deep Learning and the Internet of Things Post-COVID-19. Sensors, 23 (15). p. 6837. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés This paper introduced a method using hybrid combination of network restructuring and optimal placement of optimally sized distributed generators (DG) to reduce loss and improve voltage profile in a practical transmission network for scenario of high load demand for a period of ten years. A study is performed for four study cases which includes the test transmission network without considering optimal DG placement and network restructuring, considering network restructuring, optimal placement of DG units using proposed grid parameter oriented harmony search algorithm (GPOHSA) and considering hybrid combination of network restructuring and DG placement using GPOHSA. Network restructuring is achieved by addition of a new 400 kV Grid-substation (GSS) and a 220 kV GSS along with associated transmission system. GPOHSA is obtained by a modification in the conventional harmony search algorithm (HSA) where grid coordinates are used for locating the individuals in an objective space. Performance Improvement Indicators such as real power loss reduction indicator (SPLRI), reactive power loss reduction indicator (SQLRI) and summation of node voltage deviation reduction indicator (SNVDRI) are proposed to evaluate performance of each case of study. The period of investment return is assessed to evaluate the pay back period of the investments incurred in network restructuring and DG units. It is established that hybrid combination of network restructuring and DG units placement using GPOHSA is effective to meet the increased load demand for time period of ten years with reduced losses and improved voltage profile. Investment incurred on the network restructuring and DG units placement will be recovered in a time period of 4 years. Effectiveness of the GPOHSA is better relative to the conventional genetic algorithm (GA) for DG unit placement. The study is performed using the MATLAB software on a practical transmission network in India. metadata Kumar, Pramod and Swarnkar, Nagendra Kumar and Ali, Ahmed and Mahela, Om Prakash and Khan, Baseem and Anand, Divya and Brito Ballester, Julién mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es (2023) Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement. Sustainability, 15 (2). p. 976. ISSN 2071-1050

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español El presente trabajo de investigación muestra una línea de acción para la solución de un procedimiento de cálculo dentro del contrato de compra de energía para el suministro de una Distribuidora Eléctrica en Guatemala. Se explica la dificultad de trabajar con una indexación incierta, la cual provoca diversas interpretaciones, acarreando un problema de decisión por las partes, debido a que no está explicito el procedimiento correcto a tomar, dado que lo que existe por escrito es ambiguo. Se analiza la Teoría Económica de los Contratos junto con los aspectos más relevantes son: analizar el contexto internacional de los contratos de largo plazo y las dificultades que se presentan en la forma de aplicación de la indexación. Contrastarlos con los acontecimientos presentados en la práctica guatemalteca y la problemática que se ha generado. Mostrar un método de resolución que evite a extender las diferencias entre las partes. La Metodología utilizada es la de análisis de contenido, la cual es una de las metodologías de la investigación jurídica, debido a que se realiza una investigación cualitativa dado que se realiza una investigación bibliográfica la cual revisa documentación concerniente al tema. Los resultados esperados son: obtener un fundamento para demostrar que el procedimiento de cálculo de indexación se ajusta a lo escrito en los contratos de compra de energía entre la distribuidora de energía y el proveedor de energía. Con esto se tendrá el mecanismo a seguir para resolver futuros conflictos que se puedan dar ante la presencia de una interpretación de cálculo. metadata Zea Castañeda, Kevin mail kevin.zeacastaneda@doctorado.unini.edu.mx (2023) Un problema en los PPA de contratos de suministro de energía eléctrica, la indexación. MLS Law and International Politics, 2 (1). ISSN 2952-248X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Blockchain and machine learning (ML) has garnered growing interest as cutting-edge technologies that have witnessed tremendous strides in their respective domains. Blockchain technology provides a decentralized and immutable ledger, enabling secure and transparent transactions without intermediaries. Alternatively, ML is a sub-field of artificial intelligence (AI) that empowers systems to enhance their performance by learning from data. The integration of these data-driven paradigms holds the potential to reinforce data privacy and security, improve data analysis accuracy, and automate complex processes. The confluence of blockchain and ML has sparked increasing interest among scholars and researchers. Therefore, a bibliometric analysis is carried out to investigate the key focus areas, hotspots, potential prospects, and dynamical aspects of the field. This paper evaluates 700 manuscripts drawn from the Web of Science (WoS) core collection database, spanning from 2017 to 2022. The analysis is conducted using advanced bibliometric tools (e.g., Bibliometrix R, VOSviewer, and CiteSpace) to assess various aspects of the research area regarding publication productivity, influential articles, prolific authors, the productivity of academic countries and institutions, as well as the intellectual structure in terms of hot topics and emerging trends. The findings suggest that upcoming research should focus on blockchain technology, AI-powered 5G networks, industrial cyber-physical systems, IoT environments, and autonomous vehicles. This paper provides a valuable foundation for both academic scholars and practitioners as they contemplate future projects on the integration of blockchain and ML. metadata Akrami, Nouhaila El and Hanine, Mohamed and Flores, Emmanuel Soriano and Aray, Daniel Gavilanes and Ashraf, Imran mail UNSPECIFIED (2023) Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis. IEEE Access, 11. pp. 78879-78903. ISSN 2169-3536

Article Subjects > Social Sciences Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The primary objectives of this research article were twofold. Firstly, to categorise a total of 294 individuals who aspired to three distinct competency profiles associated with the supervision of international car sales (SPV). Secondly, to prioritise the criteria used for measurement and assess the level of satisfaction attained following the provision of targeted online training for each respective position. Segmentation was performed using the K-Means algorithm on a Likert scale importance questionnaire. Satisfaction indicators were derived by applying fuzzy set methods to the results of a satisfaction questionnaire, also using a Likert scale. The measurement criteria did not show any clear negative perceptions. The overall satisfaction index was 0.7, which was supported by classic statistics and placed in a high category. Additionally, a variable analysis revealed that candidates from the Euro-Asian region exhibited significantly low levels of satisfaction. However, no significant associations were observed between satisfaction levels and gender, income profile, completed training action, or age groups. The researchers rigorously employed a methodology that included assessing the validity and reliability of the instrument. A review of relevant literature also supported the analysis of the results. These findings suggest that the method could be applied to other multidisciplinary programmes to make informed decisions in the field of training. metadata Brito Ballester, Julién and Gracia Villar, Mónica and Soriano Flores, Emmanuel and García Villena, Eduardo mail julien.brito@uneatlantico.es, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, eduardo.garcia@uneatlantico.es (2023) Use of Fuzzy Approach Methodology and Consensus in Creating a Hierarchy of Satisfaction for Measurement Criteria: Application to Online Training Actions Directed at Classification by Key Competency Profiles in Sales Supervision (SPV) within the Automotive. International Journal of Operations and Quantitative Management, 29 (2). pp. 223-251.

Article Subjects > Engineering Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Teaching > Final Degree Projects Abierto Inglés Power Quality (PQ) has become a significant issue in power networks. Power quality disturbances must be precisely and appropriately identified. This activity involves identifying, classifying, and mitigating power quality problems. A case study of the Awada industrial zone in Ethiopia is taken into consideration to show the practical applicability of the proposed work. It is found that the current harmonic distortion levels exceed the restrictions with a maximum percentage Total Harmonic Distortion of Current (THDI) value of up to 23.09%. The signal processing technique, i.e., Stockwell Transform (ST) is utilized for the identification of power quality issues, and it covers the most important and common power quality issues. The Support Vector Machine (SVM) method is used to categorize power quality issues, which enhances the classification procedure. The ST scored better in terms of accuracy than the Wavelet Transform (WT), Fourier Transform (FT), and Hilbert Transform (HT), obtaining 97.1%, as compared to 91.08%, 88.91%, and 86.8%, respectively. The maximum classification accuracy of SVM was 98.3%. To lower the current level of harmonic distortion in the industrial sector, a Distribution Static Compensator (D-STATCOM) is developed in the current control mode. To evaluate the performance of the D-STATCOM, the performance of the distribution network with and without D-STATCOM is simulated. The simulation results show that THDI is reduced to 4.36% when the suggested D-STATCOM is applied in the system. metadata Mengistu, Epaphros and Khan, Baseem and Qasaymeh, Yazeed and Alghamdi, Ali S. and Zubair, Muhammad and Awan, Ahmed Bilal and Ashiq, Muhammad Gul Bahar and Ali, Samia Gharib and Mazas Pérez-Oleaga, Cristina mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es (2023) Utilization of Stockwell Transform, Support Vector Machine and D-STATCOM for the Identification, Classification and Mitigation of Power Quality Problems. Sustainability, 15 (7). p. 6007. ISSN 2071-1050

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés This study sought to investigate how different brain regions are affected by Alzheimer’s disease (AD) at various phases of the disease, using independent component analysis (ICA). The study examines six regions in the mild cognitive impairment (MCI) stage, four in the early stage of Alzheimer’s disease (AD), six in the moderate stage, and six in the severe stage. The precuneus, cuneus, middle frontal gyri, calcarine cortex, superior medial frontal gyri, and superior frontal gyri were the areas impacted at all phases. A general linear model (GLM) is used to extract the voxels of the previously mentioned regions. The resting fMRI data for 18 AD patients who had advanced from MCI to stage 3 of the disease were obtained from the ADNI public source database. The subjects include eight women and ten men. The voxel dataset is used to train and test ten machine learning algorithms to categorize the MCI, mild, moderate, and severe stages of Alzheimer’s disease. The accuracy, recall, precision, and F1 score were used as conventional scoring measures to evaluate the classification outcomes. AdaBoost fared better than the other algorithms and obtained a phenomenal accuracy of 98.61%, precision of 99.00%, and recall and F1 scores of 98.00% each. metadata Shahzadi, Samra and Butt, Naveed Anwer and Sana, Muhammad Usman and Elío Pascual, Iñaki and Briones Urbano, Mercedes and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, inaki.elio@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches. Diagnostics, 13 (18). p. 2871. ISSN 2075-4418

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Elite performance and sporting success are often the result of optimal integration and synergy of all components of sports preparedness (i.e., health, technical and tactical skills, bioenergetic and neuromuscular abilities and capacities, anthropometric characteristics, cognition, emotions, creativity, or personality), which evolve because of systematic long-term sports preparation. However, the relative importance of these characteristics varies between individual and team sports. While some individual sports require a high standard of bioenergetic and neuromuscular abilities and capacities, team sports performance is closely related to technical and tactical skills, which may compensate for weakness within the fitness level (1). Nonetheless, successful team sport performances seem to be much more dependent on the interaction among a wide range of factors than on the maximum development of one or two factors in isolation. In team sports, elite performance emerges from the interaction among the individual parts (2) to overcome the opponent during competition. Sports may be categorized according to the degree of predictability of the environment that they are played in (3). Team sports occur in highly unpredictable environments due to the interactions with both teammates and opponents, with performance dealing with this unpredictability. Thus, it is important to have a clear understanding of the integrative systems and the principles that rule their interactions with the environment, keeping in mind the main aim of the process: developing the diversity/unpredictability potential of athletes/teams (4) to afford the emergence of rich patterns of behavior from players to adapt quickly and effectively in dynamically changing and unpredictable environments (5). Performance in team sports is affected by several factors that affect the organization of training and competitions. These include, for example, COVID-19 cases (6), PCR tests (7), air flights and their effects prior to competition (8), injuries (9), or match-congested schedules (10). The interaction among these factors may also influence player availability. The concept of player availability is a common one in elite team sports. Available players can be considered the ones who are injury-free and ready to compete whether the head coach chooses to put them on the lineup. Thus, an available state would be when a player is fit and recovered enough to compete. On the other hand, player unavailability would be considered a state which includes injury, sanction or suspension, or other reasons that would keep a player out of match. However, this topic needs to be explored more in elite team sport environments. Considering previous enriching work, it remains important to further progress and provide academic knowledge in order to support coaches/managers, strength and conditioning coaches, sport scientists, and medical team members (e.g., doctors, physicians, and physiotherapists) in their working environments. While widely-advocated scientific groundwork is considered throughout this manuscript, the main aim of this opinion article is to provide a review of factors related to player availability and its influence on performance in elite team sports (Figure 1). Finally, some practical suggestions and recommendations are provided to deal with constant alterations in player's availability and performance fluctuations. metadata Calleja-González, Julio and Mallo, Javier and Cos, Francesc and Sampaio, Jaime and Jones, Margaret T. and Marqués-Jiménez, Diego and Mielgo-Ayuso, Juan and Freitas, Tomás T. and Alcaraz, Pedro E. and Vilamitjana, Javier and Ibañez, Sergio J. and Cuzzolin, Francesco and Terrados, Nicolás and Bird, Stephen P. and Zubillaga, Asier and Huyghe, Thomas and Jukic, Igor and Lorenzo, Alberto and Loturco, Irineu and Delextrat, Anne and Schelling, Xavi and Gómez-Ruano, Miguel and López-laval, Isaac and Vazquez, Jairo and Conte, Daniele and Velarde-Sotres, Álvaro and Bores Cerezal, Antonio and Ferioli, Davide and García, Franc and Peirau, Xavier and Martin-Acero, Rafael and Lago-Peñas, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, antonio.bores@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) A commentary of factors related to player availability and its influence on performance in elite team sports. Frontiers in Sports and Active Living, 4. ISSN 2624-9367

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Portugués A presente pesquisa, tem como objectivo compreender as causas da fuga à paternidade à luz do ordenamento Jurídico Angolano, olhando para as suas consequências no Município do Mungo, Província do Huambo. Ao reflectir o problema em estudo, é importante salientar que se trata de um tema bastante actual, pois são variadíssimos casos de fuga à paternidade também reportados pelos meios de comunicação social, Ministério da Acção Social, Famílias e Promoção da Mulher e pelos órgãos de justiças, nomeadamente os Tribunais, Gabinetes Provinciais da Acção Social, Família e Igualdade do Género, Direcções Municipais, Ombalas. Sabe-se que a noção de paternidade varia de Cultura para Cultura, tendo em conta o factor legislativo, político, social, religioso, económico, entre outros, de um Povo. Por conseguinte, importa salientar que, reflectir em torno da paternidade, sobre o papel do pai dentro da família, as possíveis causas e consequências da fuga à paternidade, especificamete no Município do Mungo, é um dever de todos nós em quanto académicos, propondo vias de prevenção e soluções deste mal que merece de muita ateção, pois que os filhos precisam viver ao lado dos seus progenitores para melhor integração social, evitando o bullying, deliquência, para que se tenha uma educação formal e informal adequada aos petizes. Do estudo feito, conclui-se que, o desentendimento entre casais, o grau de superioridade dentro da relação, a falta de dialogo, a mal conduta de um dos cônjuges e tantos outros, estão na base da fuga a paternidade. metadata Graça da Costa, Mario and Da Costa Afonso, Arlindo and Santos e Campos, María Aparecida mail mario.graca@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2023) A fuga à paternidade à luz do ordenamento jurídico angolano: um olhar atento às causas e consequências no Múnicípio do Mungo – Província do Huambo-Angola. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 4 (1). e412549. ISSN 2675-6218

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Objective This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy. Method The proposed method uses an edge federated learning architecture to optimize task allocation and execution. Unlike in traditional edge networks where requests from fixed nodes are handled by nearby edge devices or remote clouds, the proposed model uses an intelligent broker within the federation to assess member edge cloudlets' parameters, such as resources and hop count, to make optimal decisions for task offloading. This approach enhances performance and privacy by placing tasks in closer proximity to the user. DenseNet is used for model training, with a depth of 60 and 357,482 parameters. This resource-aware distributed approach optimizes computing resource utilization within the edge-federated learning architecture. Results The experimental results demonstrate significant improvements in various performance metrics. The proposed method reduces training time by 53.1%, optimizes CPU and memory utilization by 17.5% and 33.6%, and maintains accurate COVID-19 detection capabilities without compromising the F1 score, demonstrating the efficiency and effectiveness of the lightweight convolutional neural network-based edge federated learning architecture. Conclusion Existing studies predominantly concentrate on either privacy and accuracy or load balancing and energy optimization, with limited emphasis on training time. The proposed approach offers a comprehensive performance-centric solution that simultaneously addresses privacy, load balancing, and energy optimization while reducing training time, providing a more holistic and balanced solution for optimal system performance. metadata Alvi, Sohaib Bin Khalid and Nayyer, Muhammad Ziad and Jamal, Muhammad Hasan and Raza, Imran and de la Torre Diez, Isabel and Rodríguez Velasco, Carmen Lilí and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carmen.rodriguez@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation. DIGITAL HEALTH, 9. ISSN 2055-2076

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés In present investigation, the impact of nanoparticle concentration on the machining accomplishment of Hastelloy C-276 has been examined in turning operation. The outputs like temperature, surface roughness, chip reduction coefficient (CRC), tool wear, and friction coefficient along with angle of shear have been estimated. The graphene nanoparticles (GnP) have been blended into soybean oil in distinct weight/volume ratio of 0.5, 1 and 1.5%. The experimental observations revealed that higher concentration of nanoparticles has enhanced the heat carrying capacity of amalgamation by 12.28%, surface roughness (27.88%), Temperature (16.8%), tool wear (22.5%), CRC (17.5%), coefficient of friction (46.36%) and shear angle (15%). Scanning electron microscopy identified nose wear, abrasion, adhesion and loss of tool coating. Further, lower tool wear has been noticed at 1.5% concentration, while the complete failure of insert has been reported during 116 m/min, 0.246 mm/rev having 0.5% concentration. ANOVA results exhibited that surface roughness is highly influenced by speed rate (41.66%) trailed by feed rate (28.16%) and then after concentration (13.68%). Temperature is dominated by cutting speed (69.31%), concentration (14.53%) and feed rate (13.25%). Likewise, tool wear was majorly altered by cutting speed (67.2%) accompanied by feed rate (23.90%) and thirdly concentration of GnP (5.03%). metadata Singh, Gurpreet and Sharma, Shubham and Seikh, A.H. and Li, Changhe and Zhang, Yanbin and Rajkumar, S. and Kumar, Abhinav and Singh, Rajesh and Eldin, Sayed M. mail UNSPECIFIED (2023) A novel study on the influence of graphene-based nanofluid concentrations on the response characteristics and surface-integrity of Hastelloy C-276 during minimum quantity lubrication. Heliyon, 9 (9). e19175. ISSN 24058440

2022

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés Tuberculosis (TB) is an airborne disease caused by Mycobacterium tuberculosis. It is imperative to detect cases of TB as early as possible because if left untreated, there is a 70% chance of a patient dying within 10 years. The necessity for supplementary tools has increased in mid to low-income countries due to the rise of automation in healthcare sectors. The already limited resources are being heavily allocated towards controlling other dangerous diseases. Modern digital radiography (DR) machines, used for screening chest X-rays of potential TB victims are very practical. Coupled with computer-aided detection (CAD) with the aid of artificial intelligence, radiologists working in this field can really help potential patients. In this study, progressive resizing is introduced for training models to perform automatic inference of TB using chest X-ray images. ImageNet fine-tuned Normalization-Free Networks (NFNets) are trained for classification and the Score-Cam algorithm is utilized to highlight the regions in the chest X-Rays for detailed inference on the diagnosis. The proposed method is engineered to provide accurate diagnostics for both binary and multiclass classification. The models trained with this method have achieved 96.91% accuracy, 99.38% AUC, 91.81% sensitivity, and 98.42% specificity on a multiclass classification dataset. Moreover, models have also achieved top-1 inference metrics of 96% accuracy and 98% AUC for binary classification. The results obtained demonstrate that the proposed method can be used as a secondary decision tool in a clinical setting for assisting radiologists. metadata Acharya, Vasundhara and Dhiman, Gaurav and Prakasha, Krishna and Bahadur, Pranshu and Choraria, Ankit and M, Sushobhitha and J, Sowjanya and Prabhu, Srikanth and Chadaga, Krishnaraj and Viriyasitavat, Wattana and Kautish, Sandeep and Haldorai, Anandakumar mail UNSPECIFIED (2022) AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model. Computational Intelligence and Neuroscience, 2022. pp. 1-19. ISSN 1687-5265

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español El objeto del presente trabajo es analizar la figura jurídica del fideicomiso como medio de afectación de las participaciones federales como fuente de pago y garantía de créditos de las entidades federativas. Analizaremos el caso particular del estado de Colima y de las particularidades respectivas a su contrato de fideicomiso de afectación de participaciones federales, para estar en aptitud de determinar, además de su incompatibilidad para lograr la afectación de participaciones federales a través de dicha figura jurídica, los abusos que ello implica como la falta de respeto a los derechos de audiencia y defensa del estado de Colima, en la ejecución de dichas participaciones federales, mediante procedimientos que no le garantizan las formalidades esenciales del procedimiento. De igual forma analizaremos la incompatibilidad de las entidades federativas de legislar en relación a la factibilidad de utilizar al fideicomiso, como mecanismo de afectación de las participaciones federales como fuente de pago y garantía de los créditos asumidos por las entidades federativas, por ser el fideicomiso una materia de reservada adecuación legislativa para el Congreso de la Unión. El método utilizado en este trabajo es el inductivo-deductivo con enfoque cualitativo, utilizándose como instrumentos de investigación los documentales, a través del análisis cualitativo de la legislación, jurisprudencia y doctrina relacionada con la materia del presente trabajo. metadata Pérez Moreno, Arturo Javier mail UNSPECIFIED (2022) Abuso de la figura del fideicomiso como fuente de pago o garantía con cargo a participaciones federales. Caso del estado de Colima. MLS Law and International Politics, 1 (2).

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Background: The aim of this study was to relate adherence to the Mediterranean diet (MedDiet) to the prevalence of metabolic syndrome (MetS) in an elderly population from the north of Spain. Methods: We carried out an observational, descriptive, cross-sectional, and correlational study involving 556 non-institutionalised individuals aged 65 to 79 years. The MEDAS-14 questionnaire score was used to define the degree of adherence to the Mediterranean diet. The diagnosis of MetS was conducted using the International Diabetes Federation (IDF) criteria. Results: In 264 subjects with an average age of 71.9 (SD: ±4.2), 39% of whom were men, 36.4% had good adherence (score ≥ 9 in MEDAS-14), with no differences by gender or age. The prevalence of MetS was 40.2%, with 47.6% in men and 35.4% in women (p < 0.05). The prevalence of MetS was 2.4 times more frequent among individuals who consumed less than two servings (200 g) of vegetables daily compared with those who consumed two or more servings of vegetables daily (OR: 2.368, 95%CI: 1.141–4.916, p = 0.021). Low adherence to the MedDiet (MEDAS-14 score ≤ 8) was associated with an 82% higher prevalence of MetS (OR: 1.817, 95%CI: 1.072–3.081, p = 0.027). Conclusion: An inverse relationship was established between adherence to the MedDiet and the prevalence of MetS metadata Cubas-Basterrechea, Gloria and Elío Pascual, Iñaki and Alonso, Guzmán and Otero, Luis and Gutiérrez-Bardeci, Luis and Puente, Jesús and Muñoz-Cacho, Pedro mail UNSPECIFIED, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain. Nutrients, 14 (21). p. 4536. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Age-related macular degeneration (AMD) is a serious degenerative disease affecting the eyes, and is the main cause of severe vision loss among people >55 years of age in developed countries. Its onset and progression have been associated with several genetic and lifestyle factors, with diet appearing to play a pivotal role in the latter. In particular, dietary eating patterns rich in plant foods have been shown to lower the risk of developing the disease, and to decrease the odds of progressing to more advanced stages in individuals already burdened with early AMD. We systematically reviewed the literature to analyse the relationship between the adherence to a Mediterranean diet, a mainly plant-based dietary pattern, and the onset/progression of AMD. Eight human observational studies were analysed. Despite some differences, they consistently indicate that higher adherence to a Mediterranean eating pattern lowers the odds of developing AMD and decreases the risk of progression to more advanced stages of the disease, establishing the way for preventative measures emphasizing dietary patterns rich in plant-foods metadata Gastaldello, Annalisa and Giampieri, Francesca and Quiles, José L. and Navarro-Hortal, María D. and Aparicio Obregón, Silvia and García Villena, Eduardo and Tutusaus, Kilian and De Giuseppe, Rachele and Grosso, Giuseppe and Cianciosi, Danila and Forbes-Hernández, Tamara Y. and Nabavi, Seyed M. and Battino, Maurizio mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, UNSPECIFIED, silvia.aparicio@uneatlantico.es, eduardo.garcia@uneatlantico.es, kilian.tutusaus@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es (2022) Adherence to the Mediterranean-Style Eating Pattern and Macular Degeneration: A Systematic Review of Observational Studies. Nutrients, 14 (10). p. 2028. ISSN 2072-6643

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Alzheimer's is a chronic degenerative disease of the central nervous system considered the leading cause of dementia in the world. It is characterized by two etiopathological events related to oxidative stress: the aggregation of β-amyloid peptide and the formation of neurofibrillary tangles of hyperphosphorylated Tau protein in the brain. The incidence of this disease increases with age and has been associated with inadequate lifestyles. Some natural compounds have been shown to improve the hallmarks of the disease. However, despite its potential, there is no scientific evidence about Manuka honey (MH) in this regard. In the present work we evaluated the effect of MH on the toxicity induced by Aβ aggregation and Tau in a Caenorhabditis elegans model. Our results demonstrated that MH was able to improve indicators of oxidative stress and delayed Aβ-induced paralysis in the AD model CL4176 through HSP-16.2 and SKN-1/NRF2 pathways. Nevertheless, its sugar content impaired the indicators of locomotion (an indicator of tau neurotoxicity) in both the transgenic strain BR5706 and in the wild-type N2 worms. metadata Navarro-Hortal, María D. and Romero-Márquez, Jose M. and Muñoz-Ollero, Pedro and Jiménez-Trigo, Victoria and Esteban-Muñoz, Adelaida and Tutusaus, Kilian and Giampieri, Francesca and Battino, Maurizio and Sánchez-González, Cristina and Rivas-García, Lorenzo and Llopis, Juan and Forbes-Hernández, Tamara Y. and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2022) Amyloid β-but not Tau-induced neurotoxicity is suppressed by Manuka honey via HSP-16.2 and SKN-1/Nrf2 pathways in an in vivo model of Alzheimer's disease. Food & Function. ISSN 2042-6496

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The fast expansion of ICT (information and communications technology) has provided rich sources of data for the analysis, modeling, and interpretation of human mobility patterns. Many researchers have already introduced behavior-aware protocols for a better understanding of architecture and realistic modeling of behavioral characteristics, similarities, and aggregation of mobile users. We are introducing the similarity analytical framework for the mobile encountering analysis to allow for more direct integration between the physical world and cyber-based systems. In this research, we propose a method for finding the similarity behavior of users’ mobility patterns based on location and time. This research was conducted to develop a technique for producing co-occurrence matrices of users based on their similar behaviors to determine their encounters. Our approach, named SAA (similarity analysis approach), makes use of the device info i.e., IP (internet protocol) and MAC (media access control) address, providing an in-depth analysis of similarity behaviors on a daily basis. We analyzed the similarity distributions of users on different days of the week for different locations based on their real movements. The results show similar characteristics of users with common mobility behaviors based on location and time to showcase the efficacy. The results show that the proposed SAA approach is 33% more accurate in terms of recognizing the user’s similarity as compared to the existing similarity approach. metadata Memon, Ambreen and Kilby, Jeff and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence Matrix. Sensors, 22 (24). p. 9898. ISSN 1424-8220

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Francés As part of an exploratory study carried out within the BEAC, we identified two major problems relating to career management. These are on the one hand related to the lack of standardization of professional HR career paths and on the other hand related to mobility phenomena occurring mainly on the basis of seniority at work stations or on a discretionary basis by the sole desire of the general direction. This scientific publication focuses on the correlation between career management and the job satisfaction of HR at the BEAC. Career management creates a link between the company and the employee who now have a joint journey in the achievement of their objectives. This article is for us to prove that the management of HR careers determines their job satisfaction metadata Kombou, Samuel and Youmbi Djiowou, Herve and Song, Antoinette and Kon Nlend, Suzanne Vanessa mail UNSPECIFIED (2022) Analysis of the effects of career management on occupational satisfaction within the Bank of Central African States (analyse des effets de la gestion des carrieres sur la satisfaction professionnelle au sein de la Banque des Etats de L'afrique Centrale). Tendances de Management Africaines. p. 178.

Article Subjects > Social Sciences
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Innovation plays a pivotal role in the progress and goodwill of an organization, and its ability to thrive. Consequently, the impact analysis of innovation on the performance of an organization holds great importance. This paper presents a two-stage analytical framework to examine the impact of business innovation on a firm’s performance, especially firms from the manufacturing sector. The prime objective is to identify the factors that have an impact on firm-level innovation, and to examine the impact of firm-level innovation on business performance. The framework and its analysis are based on the latest World Bank enterprise survey, with a sample size of 696 manufacturing firms. The first stage of the proposed framework establishes the analytical results through Bivariate Probit, which indicates that research and development (R&D) has a significantly positive impact on the product, process, marketing, and organizational innovations. It thus highlights the important role of the allocation of lump-sum amounts for R&D activities. The statistical analysis shows that innovation does not depend on the size of the firms. Moreover, the older firms are found to be wiser at conducting R&D than newer firms that are reluctant to take risks. The second stage of the proposed framework separately analyzes the impacts of the product and organizational innovation, and the process and marketing innovation on the firm performance, and finds them to be statistically significant and insignificant, respectively. metadata Aslam, Mahrukh and Shafi, Imran and Ahmad, Jamil and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Soriano Flores, Emmanuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, emmanuel.soriano@uneatlantico.es, UNSPECIFIED (2022) An Analytical Framework for Innovation Determinants and Their Impact on Business Performance. Sustainability, 15 (1). p. 458. ISSN 2071-1050

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés Ensuring the supply of electricity in a reliable and safe way is not an easy task, especially when considering renewable and clean energy generated with wind turbines given the intermittency or variability of the wind; also considering different time horizons increases complexity. Mexico has great potential for wind energy in the Eastern region and, to meet this challenge, a platform capable of generating forecast models automatically through mathematical techniques and artificial intelligence and managing them is proposed aimed at providing support based on knowledge and presenting the information graphically through a flexible dashboard, which is customizable and accessible when and where required. In this investigation, components related to the generation of electrical energy in this area are identified and a centralized system is proposed, with information segmentation, management of 3 user profiles, 6 KPIs, 5 configurable parameters, 7 different forecast models using statistical techniques, support vector machines, and automatic and deep learning, with 2 ways of visualization, to carry out analyses at 3 different time horizons. It is built in a modular way with free and open-source software. The results in the energy sector show that it allows focusing on priority activities avoiding rework, ensures reliability and completeness, is scalable, avoids duplication, allows resources to be shared, responds quickly to hypotheses, and has a global and summarized view of relevant data according to the interested party for different periods of time in an agile way, reducing times and offering support to the decision maker. metadata Romero, Inés and Ochoa-Zezzati, Alberto mail UNSPECIFIED (2022) Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector. Journal of Electrical and Computer Engineering, 2022. pp. 1-12. ISSN 2090-0147

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés With the global spread of COVID-19, the governments advised the public for adopting safety precautions to limit its spread. The virus spreads from people, contaminated places, and nozzle droplets that necessitate strict precautionary measures. Consequently, different safety precautions have been implemented to fight COVID-19 such as wearing a facemask, restriction of social gatherings, keeping 6 feet distance, etc. Despite the warnings, highlighted need for such measures, and the increasing severity of the pandemic situation, the expected number of people adopting these precautions is low. This study aims at assessing and understanding the public perception of COVID-19 safety precautions, especially the use of facemask. A unified framework of sentiment lexicon with the proposed ensemble EB-DT is devised to analyze sentiments regarding safety precautions. Extensive experiments are performed with a large dataset collected from Twitter. In addition, the factors leading to a negative perception of safety precautions are analyzed by performing topic analysis using the Latent Dirichlet allocation algorithm. The experimental results reveal that 12% of the tweets correspond to negative sentiments towards facemask precaution mainly by its discomfort. Analysis of change in peoples’ sentiment over time indicates a gradual increase in the positive sentiments regarding COVID-19 restrictions. metadata Qamar, Usman and Ahmad, Ayaz and Rustam, Furqan and Saad, Eysha and Siddique, Muhammad Abubakar and Lee, Ernesto and Ortega-Mansilla, Arturo and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Analyzing preventive precautions to limit spread of COVID-19. PLOS ONE, 17 (8). e0272350. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water is a challenge during the extraction of these resources. Moreover, the problem of ores and mineral deposits on the seafloor comes into play. The abovementioned challenges necessitate for the deployment of underwater wireless sensor networks (UWSNs). Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). In this article, the localization of these leakages is performed by using range-based metrics for calculating the distance among anchor nodes (ANs) and target nodes (TNs). This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. The benefit of using the proposed methodology greatly impacts on identifying the leakage area in mobility-assisted UWSN, where rapid reporting helps to lower the loss of resources. metadata Goyal, Nitin and Nain, Mamta and Singh, Aman and Abualsaud, Khalid and Alsubhi, Khalid and Ortega-Mansilla, Arturo and Zorba, Nizar mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED (2022) An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring. IEEE Canadian Journal of Electrical and Computer Engineering, 45 (4). pp. 466-474. ISSN 2694-1783

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The demand for cloud computing has drastically increased recently, but this paradigm has several issues due to its inherent complications, such as non-reliability, latency, lesser mobility support, and location-aware services. Fog computing can resolve these issues to some extent, yet it is still in its infancy. Despite several existing works, these works lack fault-tolerant fog computing, which necessitates further research. Fault tolerance enables the performing and provisioning of services despite failures and maintains anti-fragility and resiliency. Fog computing is highly diverse in terms of failures as compared to cloud computing and requires wide research and investigation. From this perspective, this study primarily focuses on the provision of uninterrupted services through fog computing. A framework has been designed to provide uninterrupted services while maintaining resiliency. The geographical information system (GIS) services have been deployed as a test bed which requires high computation, requires intensive resources in terms of CPU and memory, and requires low latency. Keeping different types of failures at different levels and their impacts on service failure and greater response time in mind, the framework was made anti-fragile and resilient at different levels. Experimental results indicate that during service interruption, the user state remains unaffected. metadata Mir, Tahira Sarwar and Liaqat, Hannan Bin and Kiren, Tayybah and Sana, Muhammad Usman and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Antifragile and Resilient Geographical Information System Service Delivery in Fog Computing. Sensors, 22 (22). p. 8778. ISSN 1424-8220

Article Subjects > Psychology Ibero-american International University > Research > Articles and books Abierto Portugués Estudo qualitativo descritivo busca investigar o domínio da autoconsciência e do autocontrole dos alunos de duas instituições de Ensino Fundamental de Sergipe: a privada tem programa de desenvolvimento da inteligência emocional e a pública não dispõe deste benefício. O objetivo: analisar a autoconsciência e o autocontrole em alunos alfabetizados sob a perspectiva da inteligência emocional e alunos não alfabetizados emocionalmente. Método quali-quantitativo descritivo e correlacional enfocando a inteligência emocional e gerenciamento das emoções. A amostra não probabilística compôs-se de 104 estudantes. Utilizou-se o questionário (Medida de Inteligência Emocional - MIE). Os dados foram tabulados e apresentados em análise descritiva. Constatou-se que nas duas competências emocionais os inquiridos da Escola Tancredo Neves apresentam ligeiro resultado positivo comparado ao Colégio Atena. Entretanto, observa-se, no panorama geral, tanto no domínio da autoconsciência quanto no autocontrole, que os resultados em ambas instituições, em vários aspectos apontam muitos dos questionados com pouca capacidade para lidar bem com as emoções. Conclui-se que quanto ao grupo que se beneficiam do programa de desenvolvimento emocional se faz necessário um olhar mais criterioso no que se refere as suas respostas emocionais, visto que tais resultados tendem a se manifestarem na forma de padrões de pensamentos, sentimentos, comportamentos e influências, ou seja, não se pode ignorar o que interfere tais comportamentos, o que exige uma maior conscientização e envolvência por parte dos pais e gestores da educação das componentes emocionais. metadata Santana Sales, María Verónica and Santos e Campos, María Aparecida mail UNSPECIFIED, maria.santos@unini.edu.mx (2022) Análise das competências interpessoais autocontrole e autoconsciência de alunos do 8º e 9º anos do ensino fundamental. MLS Psychology Research, 5 (2).

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español La presente investigación se centra en efectuar un análisis de la cadena productiva del café diferenciado en el departamento de Quetzaltenango, Guatemala, para obtener información relevante de sus actividades económicas para, posteriormente, elaborar un modelo de planificación de proyectos productivos a partir de la metodología del PMI a través de su guía PMBOK. El modelo desarrollado fue implementado en una empresa exportadora (commodities agrícolas) para determinar su eficacia en la obtención de resultados en el ámbito de la gestión empresarial. metadata Pérez-Godinez, Raúl Estuardo and Fuente Penna, Alejandro mail raul.perez@doctorado.unini.edu.mx, UNSPECIFIED (2022) Análisis de la cadena productiva del café diferenciado para exportación en el departamento de Quetzaltenango, Guatemala, para la aplicación de un modelo de planificación de proyectos productivos. Espacios, 43 (09). pp. 34-50. ISSN 07981015

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español Este documento presenta el estudio y análisis de la eficiencia térmica y óptica de un colector de disco con motor Stirling ubicado en la ciudad de Armenia, Colombia, utilizado para producir energía eléctrica. Se realizó la implementación de un concentrador solar de disco parabólico de 65 cm de diámetro con un motor Stirling pequeño. Se realizaron pruebas semanales midiendo durante 5 meses los valores de la temperatura en el reflector, temperatura en el absorbedor, temperatura ambiente y la radiación solar entre las 9 am y las 3 pm. Se calculó la eficiencia térmica, óptica y la potencia generada por el colector. Asimismo, se desarrolló un sistema de seguimiento solar automático basado en actuadores lineales controlados por una tarjeta Arduino, con el fin de obtener una mayor concentración de la radiación incidente. La radiación solar promedio fue de 626 W/m2 y se obtuvo una eficiencia térmica promedio de 39,6% mientras que la eficiencia óptica fue del 33%, valores comparados con colectores de disco reportados en la literatura. metadata Cárdenas Valencia, Carlos Andrés and Pali-Casanova, Ramón mail UNSPECIFIED, ramon.pali@unini.edu.mx (2022) Análisis de la eficiencia de un colector solar de disco con motor Stirling en la ciudad de Armenia, Colombia. Revista Boletín Redipe, 11 (3). pp. 339-351. ISSN 2256-1536

Article Subjects > Physical Education and Sport
Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Se realizó un estudio mixto, cuali-cuantitativo, de corte transversal, descriptivo y exploratorio, sobre las prácticas profesionales y la formación docente, de los profesores de natación que trabajan con niños(as). Objetivo: analizar las metodologías aplicadas por los docentes, en las clases de natación, y cómo se vincula con los contenidos desarrollados durante su formación profesional y con las directivas de las instituciones en las cuales trabajan. La muestra intencional, estuvo conformada por 50 licenciados de Educación Física, que impartieron clases a niños(as) de 2 a 14 años; 25 en la Asociación Cristiana de Jóvenes (ACJ), y 25 en la Secretaría Nacional del Deporte (SND) durante los años 2019 y 2020. Criterios de inclusión: ser docentes de natación, titulados, trabajar con niños(as) en las instituciones mencionadas. Instrumentos de la investigación: para la observación no participante, se utilizó una lista de cotejo y una de frecuencia; un cuestionario, para las entrevistas semiestructuradas y para la revisión documental el análisis de contenido. Los datos se presentaron en estadística descriptiva. Resultados: En relación a las prácticas de quienes integraron la muestra, existe una dicotomía entre lo aprendido durante la carrera de formación y la manera que los docentes presentan la enseñanza. Mientras que, durante la formación de licenciatura, se prioriza el uso de metodologías inductivas, que fomentan la participación de los niños(as); al dar sus clases, los docentes prefieren el método deductivo y estilos de enseñanza de carácter reproductivo, como la asignación de tarea, restringiendo el accionar del niño(a) a la reproducción de contenidos. metadata Godoy Sánchez, Ana María and Santos e Campos, María Aparecida mail UNSPECIFIED, maria.santos@unini.edu.mx (2022) Análisis de las metodologías de enseñanza en docentes de natación aplicadas con niños en Montevideo. Lecturas: Educación Física y Deportes, 27 (290). pp. 2-17. ISSN 1514-3465

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español La delegación es una forma legítima que tienen los Estados centralizados o seccionales de transferir capacidades jurídicas, administrativas, operacionales y de gestión en general a entidades descentralizadas del propio Estado o entes del sector privado. En el Ecuador existen varias formas de delegar competencias y gestiones financieras, administrativas y operativas a cargo de empresas estatales extranjeras, privadas nacionales o extranjeras e incluso por medio de alianzas público-privadas. Los puertos marítimos del Ecuador forman parte de los sectores estratégicos del Estado por sus condiciones de infraestructura, ubicación geopolítica y facilidades de conectividad, elementos que los hacen atractivos para los inversionistas nacionales e internacionales especializados en los negocios marítimos, situación que los transforma en aliados valiosos para el comercio internacional y el tránsito de pasajeros turísticos. La estructura jurídica fundamental que soporta la acción de concesionar o delegar áreas de sectores estratégicos del Estado ecuatoriano —en este caso los puertos marítimos— tiene sustento legal en la Constitución de la República, el Código Orgánico de la Producción Comercio e Inversiones, la Ley Orgánica de Incentivos Para Asociaciones Público Privadas, el Código Orgánico Administrativo y Ley Orgánica de la Contraloría General del Estado, entre otros cuerpos legales. El objetivo fundamental para la delegación e incluso la concesión de los puertos marítimos en el Ecuador obedece a la búsqueda de una gestión eficiente y eficaz para crear un entorno competitivo, sostenido en un ordenamiento jurídico que le permite lograr una dinámica efectiva que incentiva el comercio multilateral. El Estado ecuatoriano pretende que las ventajas comparativas y competitivas de infraestructuras y posicionamiento estratégico sirvan para generar un desarrollo sostenido basado en la capacidad de brindar servicios portuarios ágiles, seguros y con costes competitivos. metadata Loor Zambrano, Angela Annabella and Pahul Robredo, María Graciela mail UNSPECIFIED (2022) Análisis del marco constitucional y normativo para la delegación de puertos marítimos en el Ecuador. MLS Law and International Politics, 1 (2).

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español Varias organizaciones y profesionales de la gestión de proyectos centran su atención en el desempeño en la realización de proyectos. Durante varios años, Camerún se ha dedicado a la realización de grandes proyectos de construcción potencialmente comparables a megaproyectos, como el proyecto de construcción del segundo puente sobre el Wouri. El objetivo general de este estudio fue analizar el nivel de desempeño del proyecto para construir el segundo puente sobre el Wouri. Esta investigación se desarrolló a partir de un enfoque cualitativo por un lado y un enfoque cuantitativo por el otro. Esta investigación eligió la entrevista semiestructurada a través de un cuestionario y la investigación documental como instrumentos de recolección de datos. Los participantes estaban compuestos por un representante de la autoridad contratante, un representante del propietario del proyecto, un representante del jefe del servicio contratado, un representante del ingeniero contratado, un representante del asistente del propietario del proyecto y dos representantes de la empresa que realiza el trabajo. Los datos recopilados se analizaron utilizando el software de análisis de datos Statistical Package for the Social Sciences (SPSS) y el software EXCEL. Parece que no se cumplieron los plazos y costes de ejecución, pero se cumplió el nivel de calidad inicialmente previsto. Los resultados de esta investigación son similares a los hallazgos de OPS (2011), Standish group (2018) y PMI (2015) en cuanto a investigaciones sobre el desempeño de proyectos con alto porcentaje de fallas en megaproyectos. metadata Song, Antoinette and Momo Kountchou, Arthur mail UNSPECIFIED (2022) Análisis del nivel de rendimiento de megaprojets en Camerún: caso del proyecto de construcción del segundo puente sobre el Wouri = Analysis of the performance level of megaprojects in Cameroon: the case of the second wouri bridge construction project. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés, Español Actualmente la gestión de proyectos cuenta con muchas herramientas y metodologías que buscan desarrollar proyectos exitosos, no siempre es posible cumplir con los objetivos fijados desde su concepción. Una gran parte de los proyectos de construcción son ejecutados sin ser evaluados y documentados adecuadamente a lo largo de su ciclo de vida, aumentando las probabilidades de ser un proyecto fallido y de no cumplir con la rentabilidad o uso esperado. El caso de estudio es sobre un proyecto hidroeléctrico que fue iniciado con personal propio de una empresa privada hondureña (EPH)[1], que al poco tiempo empezó a presentar una serie de inconvenientes que generaron desfases en costos y en tiempo. Cuando se había utilizado el 85% del presupuesto original estimado y se observa un avance de obra menor al 50%, la EPH decidió contratar a una empresa supervisora externa (ESE) para darle seguimiento al proyecto, revisar el diseño del mismo y que se asegurara que el proyecto fuera culminado. El proyecto fue culminado con un año y ocho meses adicionales de construcción y el costo del total final superó en 7.5 millones de dólares americanos del presupuesto original. El objetivo principal de esta investigación es la de analizar la eficiencia y sostenibilidad del proyecto para obtener lecciones que posibiliten la identificación de las fallas y aciertos en los desvíos alcanzados a lo largo del mismo y, a partir de ellos, generar recomendaciones que le permitan a la organización corregir y mejorar su actual metodología para sus futuros proyectos. metadata Ramírez López, Ana Mellissa and Mazzetto, Matías Ariel mail UNSPECIFIED (2022) Análisis y mejores prácticas proyectuales de una obra civil hidroeléctrica de Honduras. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Physical Education and Sport Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés, Español Este estudio pretendía conocer cómo incide la aplicación del método continuo variable en la mejora de la resistencia de las participantes en las clases de bailoterapia. El objetivo general de este proyecto fue diseñar una propuesta de aplicación del método continuo variable en las clases de bailoterapia para lograr el mejoramiento de la resistencia. Se realizó un estudio de tipo cuantitativo, experimental de corte transversal y de campo, participaron un total de 20 mujeres adultas, con edades entre 20 y 59 años. Para saber el estado inicial de resistencia se llevó a cabo una evaluación pre intervención registrando los resultados en fichas de observación. Se utilizó la estadística t de Student para muestras relacionadas por tratarse del mismo grupo evaluado en una pre y post evaluación para comparar las medias en relación a los objetivos de la investigación. De los resultados obtenidos, se aprecia que existe un incremento significativo de la resistencia observada en la pre evaluación de cansancio parcial con una media de 12,95 minutos y la post evaluación de cansancio parcial con una media de 22,75 minutos, con un nivel de confianza de 0,05, observando un valor de p =,000. Así mismo, se aprecia que existe un incremento de la resistencia observada en la pre evaluación de cansancio total con una media de 19,80 minutos y en la post evaluación de cansancio total con 30,40 minutos, con un nivel de confianza de 0,05, observando un valor de p =,000. metadata Puebla, Zandy Alexandra and Hernández Cruz, Leonardo de Jesús mail UNSPECIFIED, leonardo.hernandez@unib.org (2022) Aplicación del método continuo variable en la planificación de las clases de bailoterapia para el mejoramiento de la resistencia de las participantes de la parroquia "grl. Pedro J. Montero" del cantón Yaguachi, Ecuador. MLS Sport Research, 2 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. The production of electricity from fuel oil has severe implications on climate change and people’s health due to SO2 emissions. This study describes the simulation of eight different scenarios for SO2 pollutant dispersion. It takes into account distance, geoenvironmental parameters, wind, terrain roughness, and Pasquill–Gifford–Turner atmospheric stability and categories of dispersion based on technical information about SO2 concentration from stacks and from one of the atmospheric monitoring stations in Salamanca city. Its transverse character, its usefulness for modeling, and epidemiological, meteorological, and fluid dynamics studies, as suggested by the models approved by the Environmental Protection Agency (EPA), show a maximum average concentration of 399 µg/m3, at an average distance of 1800 m. The best result comparison in the scenarios was scenery 8. Maximum nocturnal dispersion was shown at a wind speed of 8.4 m/s, and an SO2 concentration of 280 µg/m3 for stack 4, an atypical situation due to the geography of the city. From the validation process, a relative error of 14.7 % was obtained, which indicates the reliability of the applied Gaussian model. Regarding the mathematical solution of the model, this represents a reliable and low-cost tool that can help improve air quality management, the location or relocation of atmospheric monitoring stations, and migration from the use of fossil fuels to environmentally friendly fuels. metadata Violante Gavira, Amanda Enrriqueta and Sosa González, Wadi Elim and Pali-Casanova, Ramón and Yam Cervantes, Marcial Alfredo and Aguilar Vega, Manuel and Chacha Coto, Javier and Zavala Loría, José del Carmen and Dzul López, Luis Alonso and García Villena, Eduardo mail amanda@ugto.mx, UNSPECIFIED, ramon.pali@unini.edu.mx, marcial.yam@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, jose.zavala@unini.edu.mx, luis.dzul@uneatlantico.es, eduardo.garcia@uneatlantico.es (2022) Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico. Atmosphere, 13 (6). p. 874. ISSN 2073-4433

Article Subjects > Biomedicine Ibero-american International University > Research > Articles and books Abierto Inglés Objective: Women with gynecologic cancer may sufer from pelvic foor dysfunction (PFD). Before radiotherapy, prehabilitation with pelvic foor muscle exercises (PFME) and vaginal dilator (VD) might prevent it and foster sexual life. This study aims to explore the experience of gynecologic cancer patients getting external beam radiation treatments regarding barriers to and facilitators of adherence to a prehabilitation program to prevent PFD. Methods: This qualitative research with thematic content analysis included 11 women with gynecologic cancer and diferent levels of adherence to PFME and VD. Participants were interviewed based on a semi-structured script. The information was analyzed manually, assisted with Nvivo12® software, and triangulated with open coding. Results: High self-motivation, desire to improve their health, symptoms of improvement, availability of time, the desire to resume sexual life, and the support of the partner were facilitators of adherence. The instructional exercise audio, clarity of the information, and closer communication with the physical therapist were also valued. The main barriers were general malaise secondary to oncological treatments, forgetfulness, lack of time, misinformation, lack of coordination with the treatment team, discomfort with the VD, and a feeling of shame. Feedback from the attending physician was a facilitator when present or a barrier when absent. Conclusion: These barriers and facilitators should be considered when designing and implementing preventive programs with PFME and VD. Behavioral counselling should consider the desire to remain sexually active; in such cases, including the partner in the therapeutic process is appraised. Otherwise, the focus should be on benefts for maintenance of pelvic foor function. metadata Araya, Paulina and Roa-Alcaino, Sonia and Celedón, Claudia and Cuevas-Said, Mónica and de Sousa Dantas, Diego and Sacomori, Cinara mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, csacomori@yahoo.com.br (2022) Barriers to and facilitators of adherence to pelvic floor muscle exercises and vaginal dilator use among gynecologic cancer patients: a qualitative study. Supportive Care in Cancer. ISSN 0941-4355

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés UNSPECIFIED metadata Kimothi, Sanjeev and Thapliyal, Asha and Akram, Shaik Vaseem and Singh, Rajesh and Gehlot, Anita and Mohamed, Heba G. and Anand, Divya and Ibrahim, Muhammad and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML. Electronics, 11 (13). p. 1927. ISSN 2079-9292

Article Subjects > Biomedicine
Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Español Introducción: el objetivo del presente trabajo se centra en reconocer la importancia de las investigaciones que relacionan la biodisponibilidad de fósforo en diferentes grupos de alimentos de origen animal, vegetal e industrial y su efecto en la progresión de la enfermedad renal crónica (ERC). Metodología: la revisión se sustentó en la búsqueda literaria en páginas web como PUBMED, Redalyc, SciELO, SCIHUB y Google Academic. Se seleccionó cada estudio, descartando aquellos que no fueran cuantitativos u originales, estuvieran incompletos, sin metodología clara, realizados en mamíferos o si los resultados no se especificaban en porcentajes. La lectura puso especial énfasis en el índice de biodisponibilidad de fósforo derivado del consumo de distintos productos alimenticios. Se elaboraron tres matrices de acuerdo con el origen del comestible y la biodisponibilidad de fósforo que absorbe el organismo. Resultados: se encontró que los alimentos industrializados y los aditivos muestran una biodisponibilidad de fósforo del 90 % al 100 %, los de origen animal del 40 % al 80 % y los de origen vegetal del 30 %. Conclusiones: los aditivos de los alimentos industrializados promueven la hiperfosfatemia y, con ello, aceleran la progresión de la enfermedad renal crónica, a diferencia de los de origen animal y vegetal, menos perjudiciales para la salud. Esto da pauta a la formación del sector salud para ampliar su conocimiento sobre el tratamiento nutricional del paciente. metadata Martínez Hernández, Eduardo and De La Luz Maya, Rodolfo A. and Ramírez Robledo, María De Los Á and Núñez-Murillo, Gabriela K. and Orozco González, Nelly mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, nelly.orozco@unini.edu.mx (2022) Biodisponibilidad de fósforo en alimentos y su efecto en la enfermedad renal crónica. Población y Salud en Mesoamérica, 19 (2). pp. 293-320.

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Building energy consumption prediction has become an important research problem within the context of sustainable homes and smart cities. Data-driven approaches have been regarded as the most suitable for integration into smart houses. With the wide deployment of IoT sensors, the data generated from these sensors can be used for modeling and forecasting energy consumption patterns. Existing studies lag in prediction accuracy and various attributes of buildings are not very well studied. This study follows a data-driven approach in this regard. The novelty of the paper lies in the fact that an ensemble model is proposed, which provides higher performance regarding cooling and heating load prediction. Moreover, the influence of different features on heating and cooling load is investigated. Experiments are performed by considering different features such as glazing area, orientation, height, relative compactness, roof area, surface area, and wall area. Results indicate that relative compactness, surface area, and wall area play a significant role in selecting the appropriate cooling and heating load for a building. The proposed model achieves 0.999 R2 for heating load prediction and 0.997 R2 for cooling load prediction, which is superior to existing state-of-the-art models. The precise prediction of heating and cooling load, can help engineers design energy-efficient buildings, especially in the context of future smart homes metadata Chaganti, Rajasekhar and Rustam, Furqan and Daghriri, Talal and Díez, Isabel de la Torre and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. Sensors, 22 (19). p. 7692. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Developments in medical care have inspired wide interest in the current decade, especially to their services to individuals living prolonged and healthier lives. Alzheimer’s disease (AD) is the most chronic neurodegeneration and dementia-causing disorder. Economic expense of treating AD patients is expected to grow. The requirement of developing a computer-aided technique for early AD categorization becomes even more essential. Deep learning (DL) models offer numerous benefits against machine learning tools. Several latest experiments that exploited brain magnetic resonance imaging (MRI) scans and convolutional neural networks (CNN) for AD classification showed promising conclusions. CNN’s receptive field aids in the extraction of main recognizable features from these MRI scans. In order to increase classification accuracy, a new adaptive model based on CNN and support vector machines (SVM) is presented in the research, combining both the CNN’s capabilities in feature extraction and SVM in classification. The objective of this research is to build a hybrid CNN-SVM model for classifying AD using the MRI ADNI dataset. Experimental results reveal that the hybrid CNN-SVM model outperforms the CNN model alone, with relative improvements of 3.4%, 1.09%, 0.85%, and 2.82% on the testing dataset for AD vs. cognitive normal (CN), CN vs. mild cognitive impairment (MCI), AD vs. MCI, and CN vs. MCI vs. AD, respectively. Finally, the proposed approach has been further experimented on OASIS dataset leading to accuracy of 86.2%. metadata Sethi, Monika and Rani, Shalli and Singh, Aman and Vidal Mazón, Juan Luis and Bhatia, Surbhi mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED (2022) A CAD System for Alzheimer’s Disease Classification Using Neuroimaging MRI 2D Slices. Computational and Mathematical Methods in Medicine, 2022. pp. 1-11. ISSN 1748-670X

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Español Introducción: la pandemia por COVID-19 ha obligado a los gobiernos de los países afectados a aplicar medidas preventivas que incluyen la cuarentena o el confinamiento domiciliario. Se ha visto que, en general, esta situación ha afectado los patrones alimentarios de la población. Objetivo: evaluar los cambios en los hábitos alimentarios y en la adquisición de los alimentos durante las diferentes etapas del confinamiento domiciliario ocasionado por COVID-19 en la población adulta de alto nivel educativo en diferentes países de Iberoamérica. Métodos: se realizó un estudio observacional y transversal en el que participaron 9.572 personas de 58 países diferentes con estudios universitarios. El instrumento utilizado para la recolección de datos fue una encuesta diseñada por la Universidad Internacional Iberoamericana de México (UNINI-México) para estudiar los hábitos alimentarios durante el confinamiento domiciliario por COVID-19 como parte del estudio HALCON-COVID-19. Resultados: la mayoría de los encuestados indicaron haber mantenido su peso durante la cuarentena (57,3 %), aunque reportan haber reducido su actividad física (23,9 %) y han eliminado el consumo de alimentos ultraprocesados (53,4 %), de bebidas alcohólicas (43,3 %) y de chocolates y golosinas (41,1 %), mientras que incluyeron en su dieta vegetales (37,7 %), frutas (37 %) y huevos (30,6 %). Conclusiones: las personas que usualmente no comen saludablemente han visto aún más afectada su forma de alimentarse durante el confinamiento, reduciendo su actividad física e incrementando su peso corporal, mientras que aquellas con estilos de vida más sanos no han cambiado sus hábitos o incluso han mantenido sus estilos de vida saludable durante la pandemia. metadata Muñoz Salvador, Luisa and Briones Urbano, Mercedes and Pérez, Yago mail UNSPECIFIED, mercedes.briones@uneatlantico.es, UNSPECIFIED (2022) Cambios en el comportamiento alimentario de personas adultas con elevado nivel académico durante las diferentes etapas del confinamiento domiciliario por COVID-19 en Iberoamérica. Nutrición Hospitalaria. ISSN 0212-1611

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The aim of this study was to evaluate the influence of the lockdown due to the COVID-19 pandemic, on eating and physical activity behavior, in a university population. A healthy diet such as the Mediterranean Diet (MD) pattern, rich in fruit and vegetables, can prevent degenerative diseases such as obesity, diabetes, cardiovascular diseases, etc. We conducted a cross-sectional study and data were collected by an anonymous online questionnaire. Participants completed a survey consisting of 3 sections: sociodemographic data; dietary behavior and physical activity; the Mediterranean Diet questionnaire (MEDAS-14) and the Emotional Eater Questionnaire (EEQ). A total of 168 participants completed the questionnaire: 66.7% were women, 79.2% were from Spain, 76.8% were students, 76.2% lived in their family home and 66.1% were of normal weight. During lockdown our population shopped for groceries 1 time or less per week (76.8%); maintained the same consumption of fruits (45.2%), vegetables (50.6%), dairy products (61.9%), pulses (64.9%), fish/seafood (57.7%), white meat (77.4%), red and processed meat (71.4%), pastries and snacks (48.2%), rice/pasta/potatoes (70.2%) and nuts (62.5%), spirits (98.8%) and sugary drinks (91.7%). Cooking time increased (73.2%) and the consumption decreased of low alcohol drinks (60.1%), spirits (75%) and sugary drinks (57.1%), and physical activity also diminished (49.4%). University Employees (UE) gained more weight (1.01 ± 0.02) than students (0.99 ± 0.03) (p < 0.05) during the confinement period. A total of 79.8% of the participants obtained a Medium/High Adherence to the MD during lockdown. Emotional and very emotional eaters were higher in the female group (p < 0.01). In the event of further confinement, strategies should be implemented to promote a balanced and healthy diet together with the practice of physical activity, taking special care of the female and UE groups. metadata Sumalla Cano, Sandra and Forbes-Hernández, Tamara and Aparicio-Obregón, Silvia and Crespo-Álvarez, Jorge and Elexpuru Zabaleta, Maria and Gracia Villar, Mónica and Giampieri, Francesca and Elío Pascual, Iñaki mail sandra.sumalla@uneatlantico.es, UNSPECIFIED, silvia.aparicio@uneatlantico.es, jorge.crespo@uneatlantico.es, maria.elexpuru@uneatlantico.es, monica.gracia@uneatlantico.es, francesca.giampieri@uneatlantico.es, inaki.elio@uneatlantico.es (2022) Changes in the Lifestyle of the Spanish University Population during Confinement for COVID-19. International Journal of Environmental Research and Public Health, 19 (4). p. 2210. ISSN 1660-4601

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Chile logró los mejores indicadores macroeconómicos de la región, pero con Índice de Desarrollo Humano (IDH; 0,85), el menor en Organización para la Cooperación y el Desarrollo Económicos (OCDE). Razón por la cual, este artículo tuvo como propósito analizar el desarrollo económico de Chile y su impacto social (1970 – 2021). El estudio se desarrolló con un alcance descriptivo, con énfasis en elementos como el índice de desarrollo humano, su nivel de desarrollo, y los principales sucesos económico, financiero, social. Se aplicó el método bibliográfico, para analizar la crisis económica en América latina y el Caribe (ALC). Según los resultados del estudio, Chile ha sido una economía estable y la más desarrolladas de ALC, presenta un alto grado de desigualdad en su población y la mayor respecto al grupo OCDE, entre las mejores campañas de salud frente al COVID -19. Se concluyó que no ha alcanzado el estándar de país desarrollo. metadata González Delmas, Guillermo Patricio mail UNSPECIFIED (2022) ¿Chile podría ser considerado un país desarrollado? Revista Enfoques, 6 (21). pp. 63-78. ISSN 2616-8219

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Cerrado Inglés The shells of cocoa beans are considered as unused agro-industrial waste. In Ecuador there are several cocoa industries, which generate significant amounts of this waste. In this research, the shells were coming from the National Arriba cocoa almonds were used for the production of flour in order to analyze its nutritional characteristics, where the important nutritional value of the same was confirmed, for its use in the bakery industry, as a food supplement or for other uses for human consumption in baked products. metadata El-Salous, Ahmed and Pascual Barrera, Alina Eugenia mail UNSPECIFIED, alina.pascual@unini.edu.mx (2022) Cocoa Shells Flour for Human Consumption. Current Perspectives in Agriculture and Food Science Vol. 1, 1. pp. 39-46.

Article Subjects > Biomedicine Ibero-american International University > Research > Articles and books Abierto Español The COVID-19 pandemic has put a lot of pressure on health systems worldwide. Mass vaccination against SARS-CoV-2 has reduced morbidity and mortality worldwide. Despite their safety profiles, vaccines, as with any other medical product, can cause adverse events. Yet, in countries with poor epidemiological surveillance and monitoring systems, reporting vaccine-related adverse events is a challenge. The objective of this study was to describe self-reported vaccine adverse events after receiving one of the available COVID-19 vaccine schemes in Ecuador. A cross-sectional analysis based on an online, self-reported, 32-item questionnaire was conducted in Ecuador from 1 April to 15 July 2021. Participants were invited by social media, radio, and TV to voluntarily participate in our study. A total of 6654 participants were included in this study. Furthermore, 38.2% of the participants reported having at least one comorbidity. Patients received AstraZeneca, Pfizer, and Sinovac vaccines, and these were distributed 38.4%, 31.1%, and 30.5%, respectively. Overall, pain or swelling at the injection site 17.2% (n = 4500) and headache 13.3% (n = 3502) were the most reported adverse events. Women addressed events supposedly attributable to vaccination or immunization [ESAVIs] (66.7%), more often than men (33.2%). After receiving the first dose of any available COVID-19 vaccine, a total of 19,501 self-reported ESAVIs were informed (87.0% were mild, 11.5% moderate, and 1.5% severe). In terms of the vaccine type and brand, the most reactogenic vaccine was AstraZeneca with 57.8%, followed by Pfizer (24.9%) and Sinovac (17.3%). After the second dose, 6776 self-reported ESAVIs were reported (87.1% mild, 10.9% moderate, and 2.1% severe). AstraZeneca vaccine users reported a higher proportion of ESAVIs (72.2%) in comparison to Pfizer/BioNTech (15.9%) and Sinovac Vaccine (11.9%). Swelling at the injection site, headache, muscle pain, and fatigue were the most common ESAVIs for the first as well as second doses. In conclusion, most ESAVIs were mild. AstraZeneca users were more likely to report adverse events. Participants without a history of COVID-19 infection, as well as those who received the first dose, were more prone to report ESAVIs metadata Ortiz-Prado, Esteban and Izquierdo Condoy, Juan Sebastian and Fernandez-Naranjo, Raul and Simbaña-Rivera, Katherine and Vásconez-González, Jorge and Naranjo, Eddy P. Lincango and Cordovez, Simone and Coronel, Barbara and Delgado-Moreira, Karen and Jimbo-Sotomayor, Ruth mail UNSPECIFIED (2022) A Comparative Analysis of a Self-Reported Adverse Events Analysis after Receiving One of the Available SARS-CoV-2 Vaccine Schemes in Ecuador. Vaccines, 10 (7). p. 1047. ISSN 2076-393X

Article Subjects > Biomedicine
Subjects > Engineering Ibero-american International University > Research > Articles and books Cerrado Inglés According to the World Health Organization (WHO), Parkinson’s disease (PD) is a neurodegenerative disease of the brain that causes motor symptoms including slower movement, rigidity, tremor, and imbalance in addition to other problems like Alzheimer’s disease (AD), psychiatric problems, insomnia, anxiety, and sensory abnormalities. Techniques including artificial intelligence (AI), machine learning (ML), and deep learning (DL) have been established for the classification of PD and normal controls (NC) with similar therapeutic appearances in order to address these problems and improve the diagnostic procedure for PD. In this article, we examine a literature survey of research articles published up to September 2022 in order to present an in-depth analysis of the use of datasets, various modalities, experimental setups, and architectures that have been applied in the diagnosis of subjective disease. This analysis includes a total of 217 research publications with a list of the various datasets, methodologies, and features. These findings suggest that ML/DL methods and novel biomarkers hold promising results for application in medical decision-making, leading to a more methodical and thorough detection of PD. Finally, we highlight the challenges and provide appropriate recommendations on selecting approaches that might be used for subgrouping and connection analysis with structural magnetic resonance imaging (sMRI), DaTSCAN, and single-photon emission computerized tomography (SPECT) data for future Parkinson’s research. metadata Rana, Arti and Dumka, Ankur and Singh, Rajesh and Panda, Manoj Kumar and Priyadarshi, Neeraj mail UNSPECIFIED (2022) A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives. Diagnostics, 12 (11). p. 2708. ISSN 2075-4418

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions metadata Farooq, Muhammad Shoaib and Suhail, Maryam and Qureshi, Junaid Nasir and Rustam, Furqan and de la Torre Díez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics. Sensors, 22 (21). p. 8582. ISSN 1424-8220

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The authors have requested to update the original publication of this article. Duplicate text in the second and third paragraphs of page 5 should be deleted. Acknowledgments section should be removed. The original article has been corrected. metadata Montano, Isabel Herrera and Lafuente, Elena Presencio and Breñosa, Jose and Ortega-Mansilla, Arturo and Díez, Isabel de la Torre and Río-Solá, María Lourdes Del mail UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Correction to: Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery. Journal of Medical Systems, 47 (1). ISSN 1573-689X

Article Subjects > Biomedicine
Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Inglés The authors regret the incorrect publication of the actual affiliation for the author José Ramos-Vivas in the original article. The corrected affiliation is provided below: Luis Monzón-Atienzaa, Jimena Bravoa, Álvaro Fernández-Monteroa, Ives Charlie-Silvab, Daniel Monteroa, José Ramos-Vivasa,d,e, Jorge Galindo-Villegasc,*, Félix Acostaa aGrupo de Investigaci'on en Acuicultura (GIA), Instituto Ecoaqua, Universidad de Las Palmas de Gran Canaria, Spain bDepartment of Pharmacology, Institute of Biomedical Sciences, University of Sao Paulo, SP, Brazil cFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway dResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, 39011 Santander, Spain eDepartment of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico The authors would like to apologise for any inconvenience caused. metadata Monzón-Atienza, Luis and Bravo, Jimena and Fernández-Montero, Álvaro and Charlie-Silva, Ives and Montero, Daniel and Ramos Vivas, Jose and Galindo-Villegas, Jorge and Acosta, Félix mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Corrigendum to “Dietary supplementation of Bacillus velezensis improves Vibrio anguillarum clearance in European sea bass by activating essential innate immune mechanisms” [Fish Shellfish Immunol. 124 (2022) 244–253]. Fish & Shellfish Immunology. ISSN 10504648

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Large-scale distributed systems have the advantages of high processing speeds and large communication bandwidths over the network. The processing of huge real-world data within a time constraint becomes tricky, due to the complexity of data parallel task scheduling in a time constrained environment. This paper proposes data parallel task scheduling in cloud to address the minimization of cost and time constraints. By running concurrent executions of tasks on multi-core cloud resources, the number of parallel executions could be increased correspondingly, thereby, finishing the task within the deadline is possible. A mathematical model is developed here to minimize the operational cost of data parallel tasks by feasibly assigning a load to each virtual machine in the cloud data center. This work experiments with a machine learning model that is replicated on the multi-core cloud heterogeneous resources to execute different input data concurrently to accomplish distributive learning. The outcome of concurrent execution of data-intensive tasks on different parts of the input dataset gives better solutions in terms of processing the task by the deadline at optimized cost. metadata Rajalakshmi, N. R. and Dumka, Ankur and Kumar, Manoj and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Anand, Divya and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud. Electronics, 11 (13). p. 2022. ISSN 2079-9292

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español La presente investigación está orientada a verificar la viabilidad de aplicar el Cuadro de Mando Integral (CMI) a la gestión de los recursos en la Gendarmería Nacional Argentina (GNA), como herramienta capaz de convertir la visión y las estrategias a la organización, comunicar y relacionar objetivos e indicadores con el propósito de alcanzar la eficiencia administrativa. Para lograrlo se recurrió a la metodología mixta (cualitativa, cuantitativa y descriptiva), en función a las referencias teóricas vinculadas al CMI, el análisis de la administración de la Fuerza, el presupuesto, el clima organizacional y el concepto de los ciudadanos sobre la GNA. Las muestras fueron colectadas en tres fases: en la primera se realizó el análisis documental vinculado a la gestión y la bibliografía disponible; en la segunda, entrevistas a los oficiales superiores, sobre el conocimiento sobre el instrumento; encuesta al personal para indagar sobre el clima organizacional y, por último, una encuesta de opinión a los ciudadanos beneficiarios del servicio de la GNA; la tercera fase se diseñó del prototipo de CMI aplicado a la Institución. La validación de los instrumentos se realizó a través del Coeficiente de Alfa de Cronbach. Se aprecia que es viable la aplicación de esta herramienta y que puede aportar información en tiempo y oportunidad para monitorear las actividades, priorizar los proyectos, medir la trayectoria del uso de los recursos, alinear el trabajo, facilitar las comunicaciones internas y tomar adecuadas decisiones en búsqueda de la eficiencia en la utilización de los recursos. metadata Rojo Gutiérrez, Marco Antonio and Zampedri, Óscar Alcides mail marco.rojo@unini.edu.mx, UNSPECIFIED (2022) Cuadro de mando integral en el sector público: caso de estudio la Gendarmería Nacional Argentina. MLS Law and International Politics, 2 (1). ISSN 2952-248X

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español En Chile, el Marco Nacional de Cualificaciones para la Educación Superior, define 5 niveles de cualificación, teniendo en cuenta algunas brechas formativas que se dan en el acceso y egreso de la Licenciatura en Trabajo Social, la presente investigación tiene como objetivo: diseñar una propuesta de competencias genéricas de egreso para el nivel de Licenciatura en Trabajo Social, que sirvan de base para el diseño de planes y programas formativos garantes de un egresado preparado para desempeñarse de manera efectiva ante los retos socio profesionales que enfrentará. Para ello se realizó una revisión documental que permitió establecer una sistematización epistemológica de los conceptos centrales y sus relaciones. Los resultados evidenciaron la diversidad y variedad de ofertas para la formación en trabajo social, revelándose un sistema integrado de competencias: crítica, epistémica, informacional, comunicativa, interventiva y ética que pueden contribuir a continuar mejorando la calidad educativa de la educación superior chilena. Finalmente, estos aspectos abren un espacio para nuevos debates, sobre modelos educativos, enfoques de formación disciplinar y estrategias de redisciplinamiento, a fin de contar con herramientas para enfrentar los desafíos actuales y futuros del trabajo social chileno e internacional. metadata Gutiérrez Pincheria, Daiana and Deroncele Acosta, Angel and Ulloa-Guerra, Oscar mail UNSPECIFIED, UNSPECIFIED, oscar.ulloa@unini.org (2022) Cualificaciones del nivel de licenciatura en trabajo social en Chile: anclaje de competencias. Conrado, 18 (86). pp. 344-352.

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español Se realizó un trabajo de investigación para determinar y priorizar los requerimientos de capacitación del personal del Sistema Penitenciario Costarricense, a fin de analizar la factibilidad de satisfacerlos mediante el uso de MOOC (Massive Open Online Course). Se ejecutó una investigación de tipo mixta, exploratoria, mediante la aplicación de un cuestionario de necesidades de capacitación, aplicado a las Jefaturas de la Institución, para conocer y priorizar las necesidades de capacitación del personal. Se analizó además, la oferta de cursos de varias plataformas MOOC y se revisó cuáles plataformas MOOC presentaban oferta de cursos que pudieran ser aplicados en la satisfacción de los requerimientos existentes. Se encontraron antecedentes de investigaciones similares, relacionadas con el diagnóstico de necesidades de capacitación y la aplicación de MOOC para la formación profesional continua en organizaciones públicas y privadas La investigación permitió identificar plataformas que ofrecen MOOC aplicables a la satisfacción de los requerimientos del personal de Sistema Penitenciario Costarricense. Los resultados obtenidos permiten concluir que es factible utilizar MOOC en la capacitación del personal referido, se generan recomendaciones para futuras investigaciones en el tema y se plantea la necesidad de ejecutar un estudio sobre el efecto de la falta de capacitación en el Sistema Penitenciario Costarricense. metadata Canto-Ramírez, José Luis and Granados Saavedra, Marianella mail UNSPECIFIED (2022) Cursos abiertos masivos en línea (MOOC) y capacitación del personal: la experiencia del sistema penitenciario costarricense. Project Design and Management, 4 (1). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés A population explosion has resulted in garbage generation on a large scale. The process of proper and automatic garbage collection is a challenging and tedious task for developing countries. This paper proposes a deep learning-based intelligent garbage detection system using an Unmanned Aerial Vehicle (UAV). The main aim of this paper is to provide a low-cost, accurate and easy-to-use solution for handling the garbage effectively. It also helps municipal corporations to detect the garbage areas in remote locations automatically. This automation was derived using two Convolutional Neural Network (CNN) models and images of solid waste were captured by the drone. Both models were trained on the collected image dataset at different learning rates, optimizers and epochs. This research uses symmetry during the sampling of garbage images. Homogeneity regarding resizing of images is generated due to the application of symmetry to extract their characteristics. The performance of two CNN models was evaluated with the state-of-the-art models using different performance evaluation metrics such as precision, recall, F1-score, and accuracy. The CNN1 model achieved better performance for automatic solid waste detection with 94% accuracy metadata Verma, Vishal and Gupta, Deepali and Gupta, Sheifali and Uppal, Mudita and Anand, Divya and Ortega-Mansilla, Arturo and Alharithi, Fahd S. and Almotiri, Jasem and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle. Symmetry, 14 (5). p. 960. ISSN 2073-8994

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Español Investigación, desarrollo, producción y análisis de bebidas alcohólicas destiladas en base de diez tipos de fermentos de frutas autóctonas del Ecuador entre las que se encuentran: Syzygium jambos, Theobroma cacao, Artocarpus altilis, Citrus sinensis, Citrus reticulata, Averrhoa carambola, Nephelium lappaceum, Carica papaya, Musa acuminata × M. balbisiana y Musa sp. Estas frutas no han sido aprovechadas exitosamente, por lo cual se plantea la investigación para la producción de bebidas alcohólicas destiladas a partir de bebidas alcohólicas fermentadas. Mediante la aplicación de destilación diferencial y fraccionada, evaluando como variables influyentes de entrada: pH, grados Brix y grados Gay Lussac de los fermentos de las frutas mencionadas y seleccionando los mejores productos a partir de las variables de respuesta: grados Gay Lussac (GL), grados Brix, pH y características organolépticas (color, aroma, sabor y textura). Logrando obtener bebidas alcohólicas destiladas con características no perecederas, las mismas que cumplen con las normativas de calidad ecuatorianas INEN. Las bebidas alcohólicas destiladas obtenidas presentan características diferenciadas dependiendo de cada fruta como: aromas afrutadas, tropicales, caramelizadas, microbiológicas; sabores amargos, ligeros, frescos y frutales, y con grados Gay Lussac entre 88 y 96, los mismos que se diluyen a concentraciones entre 40 y 45 grados alcohólicos para ser comercializados. metadata Gordillo-Vinueza, Gilda Graciela and Aguilar-Carrera, Javier Oswaldo and Narváez García, Asteria and Ferriol Sánchez, Fermín mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, fermin.ferriol@unini.edu.mx (2022) Desarrollo, producción y análisis de bebidas alcohólicas destiladas empleando diez tipos de frutas autóctonas ecuatorianas. Polo del Conocimiento, 7 (6). pp. 267-280.

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Portugués As máscaras de protecção facial tornaram de uso obrigatório pela população em geral, nesta época da pandemia de Covid-19 mas a falta de consciência dos danos que advém do descarte incorrecto leva a danos ambientais. Foi proposto como objectivo deste estudo em contribuir os efeitos das máscaras descartáveis quanto a poluição do meio ambiente incentivando o descarte correcto das mesmas. Destaca-se o método de revisão narrativa e acomoda-se como um estudo de natureza qualitativa e teve a observação no local dos acontecimentos e também realizou-se uma busca na base de informações da MEDLINE, SciELO e Google Scholar e não se deixou de fora as recomendações oficiais maioritariamente da Organização Mundial da Saúde. A recolha de informação foi feita com base num questionário. Os resultados desta pesquisa são considerados satisfatório porque respondem aos objectivos traçados para o presente estudo. Concluiu-se que é necessário continuar com as acções de sensibilização da população em matérias de educação ambiental de modo que as pessoas percebam quais são os problemas ambientais que precisam de soluções para que o futuro ambiental não seja prejudicado e ter uma consciência quanto aos impactos ambientais. Continuar também a combater o alastramento da doença e no mínimo reduzir o uso das máscaras descartáveis optando pelo material reciclável como as máscaras caseiras que podem ser reutilizadas. Recomenda-se o descarte das máscaras de forma correcta e que se façam mais pesquisas capazes de educar e sensibilizar as populações sobre a gestão de residuos sólidos. metadata Cade Falume, Abede and Ramírez-Sánchez, Miguel Ysrrael mail UNSPECIFIED (2022) Descarte incorrecto de máscaras em tempo de pandemia de covid-19. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (3). e331236. ISSN 2675-6218

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés To address the current pandemic, multiple studies have focused on the development of new mHealth apps to help in curbing the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV-2, the coronavirus known to cause COVID-19, by being in close contact with infected individuals. The main objectives of this paper are: (1) Analyze the current status of COVID-19 apps available on the main virtual stores: Google Play Store and App Store for Spain, and (2) Propose a novel mobile application that allows interaction and doctor-patient follow-up without the need for real-time consultations (face-to-face or telephone). In this research, a search for eHealth and telemedicine apps related to Covid-19 was performed in the main online stores: Google Play Store and App Store, until May 2021. Keywords were entered into the search engines of the online stores and relevant apps were selected for study using a PRISMA methodology. For the design and implementation of the proposed app named COVINFO, the main weaknesses of the apps studied were taken into account in order to propose a novel and useful app for healthcare systems. The search yielded a total of 50 apps, of which 24 were relevant to this study, of which 23 are free and 54% are available for Android and iOS operating systems (OS). The proposed app has been developed for mobile devices with Android OS being compatible with Android 4.4 and higher. This app enables doctor-patient interaction and constant monitoring of the patient's progress without the need for calls, chats or face-to-face consultation in real time. This work addresses design and development of an application for the transmission of the user's symptoms to his regular doctor, based on the fact that only 16.6% of existing applications have this functionality. The COVINFO app offers a novel service: asynchronous doctor-patient communication, as well as constant monitoring of the patient’s condition and evolution. This app makes it possible to better manage the time of healthcare personnel and avoid overcrowding in hospitals, with the aim of preventing the collapse of healthcare systems and the spread of the coronavirus. metadata Herrera Montano, Isabel and Pérez Pacho, Javier and Gracia Villar, Santos and Aparicio Obregón, Silvia and Breñosa, Jose and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, silvia.aparicio@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2022) Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Español Patient care and convenience remain the concern of medical professionals and caregivers alike. An unconscious patient confined to a bed may develop fluid accumulation and pressure sores due to inactivity and deficiency of oxygen flow. Moreover, weight monitoring is crucial for an effective treatment plan, which is difficult to measure for bedridden patients. This paper presents the design and development of a smart and cost-effective independent system for lateral rotation, movement, weight measurement, and transporting immobile patients. Optimal dimensions and practical design specifications are determined by a survey across various hospitals. Subsequently, the proposed hoist-based weighing and turning mechanism is CAD-modeled and simulated. Later, the structural analysis is carried out to select suitable metallurgy for various sub-assemblies to ensure design reliability. After fabrication, optimization, integration, and testing procedures, the base frame is designed to mount a hydraulic motor for the actuator, a DC power source for self-sustenance, and lockable wheels for portability. The installation of a weighing scale and a hydraulic actuator is ensured to lift the patient for weight measuring up to 600 pounds or lateral turning of 80 degrees both ways. The developed system offers simple operating characteristics, allows for keeping patient weight records, and assists nurses in changing patients’ lateral positions both ways, comfortably massage patients’ backs, and transport them from one bed to another. Additionally, being lightweight offers reduced contact with the patient to increase the healthcare staff’s safety in pandemics; it is also height adjustable and portable, allowing for use with multiple-sized beds and easy transportation across the medical facility. The feedback from paramedics is encouraging regarding reducing labor-intensive nursing tasks, alleviating the discomfort of long-term bed-ridden patients, and allowing medical practitioners to suggest better treatment plans metadata Shafi, Imran and Farooq, Muhammad Siddique and De La Torre Díez, Isabel and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics. Healthcare, 10 (11). p. 2174. ISSN 2227-9032

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Abstract: Sports injuries can affect the performance of athletes. For this reason, functional tests are used for injury assessment and prevention, analyzing physical or physiological imbalances and detecting asymmetries. The main aim of this study was to detect the asymmetries in the upper limbs (right and left arms) in athletes, using the OctoBalance Test (OB), depending on the stage of the season. Two hundred and fifty-two participants (age: 23.33 ± 8.96 years old; height: 178.63 ± 11.12 cm; body mass: 80.28 ± 17.61 kg; body mass index: 24.88 ± 4.58; sports experience: 12.52 ± 6.28 years), practicing different sports (rugby, athletics, football, swimming, handball, triathlon, basketball, hockey, badminton and volleyball), assessed with the OB in medial, superolateral, and inferolateral directions in both arms, in four moments of the season (May 2017, September 2017, February 2018 and May 2018). ANOVA test was used with repeated measures with a p ≤ 0.05, for the analysis of the different studied variances. Significant differences were found (p = 0.021) in the medial direction of the left arm, between the first (May 2017) and fourth stages (May 2018), with values of 71.02 ± 7.15 cm and 65.03 ± 7.66 cm. From the detection of asymmetries, using the OB to measure, in the medial, superolateral and inferolateral directions, mobility and balance can be assessed. In addition, it is possible to observe functional imbalances, as a risk factor for injury, in each of the stages into which the season is divided, which will help in the prevention of injuries and in the individualization of training. metadata Velarde-Sotres, Álvaro and Bores-Cerezal, Antonio and Mecías-Calvo, Marcos and Barcala Furelos, Martín and Aparicio Obregón, Silvia and Calleja-González, Julio mail alvaro.velarde@uneatlantico.es, antonio.bores@uneatlantico.es, marcos.mecias@uneatlantico.es, martin.barcala@uneatlantico.es, silvia.aparicio@uneatlantico.es, UNSPECIFIED (2022) Detection of Upper Limb Asymmetries in Athletes According to the Stage of the Season—A Longitudinal Study. International Journal of Environmental Research and Public Health, 19 (2). p. 849. ISSN 1660-4601

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The United Nations Educational, Scientific, and Cultural Organization (UNESCO) highlights the relevance of using information and communications technology (ICT) in education for improving the quality of education. To achieve this goal, it is necessary to extend research on digital competences in education. To advance the development of digital competencies it is necessary to take account of how teachers perceive these. In addition, systematic reviews of the literature on ICT and education show an imbalance regarding the amount of research from Africa compared to other regions of the world. In this sense, the objective of this study carried out between March 2019 and April 2020 was to analyse the perceptions of primary school teachers from 8 African countries about their digital competences. The teachers were master’s students in teacher training on virtual platforms. A mixed methodological perspective (quantitative-qualitative) was adopted and a questionnaire with closed and open-ended questions was applied. The quantitative and qualitative analyses show that the teachers recognised their digital competence at all 3 levels. The needs highlighted by teachers were in developing their knowledge of how to create content with the support of technology. However, the available resources, which differed in the participants’ work contexts and did not enable the equal use of ICT in all African countries, was an important issue highlighted by the participants. It is recommended that teacher training in digital competence is prepared using instructional design that promotes innovation and contact with real teaching-learning situations. metadata Sartor-Harada, Andresa and Azevedo-Gomes, Juliana and Ulloa-Guerra, Oscar and Ruiz Salces, Roberto and Calderón Iglesias, Rubén mail andresa.sartor@uneatlantico.es, juliana.azevedo@uneatlantico.es, oscar.ulloa@uneatlantico.es, roberto.ruiz@uneatlantico.es, ruben.calderon@uneatlantico.es (2022) Digital competencies: perceptions of primary school teachers pursuing master’s degrees from eight African countries. SA Journal of Education, 42 (3). ISSN 2076-3433

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Las pequeñas y medianas empresas (PyMEs) son fundamentales para cualquier economía, por su contribución al empleo, capacidad de generación de ingresos y de tejido social y empresarial. En Colombia las PyMEs enfrentan ingentes problemas y desafíos debido en parte a su baja productividad, que amenaza su sostenibilidad. El objetivo del presente trabajo fue diseñar, instrumentar y evaluar un sistema dinámico de indicadores de productividad para la gestión empresarial de las PyMEs de Colombia. A partir de información de la Superintendencia de Sociedades de Colombia para los años 2016 al 2019 para una muestra representativa de PyMEs se especificó y estimó un modelo de Análisis Envolvente de Datos (DEA) para evaluar su eficiencia técnica e identificar sus factores determinantes, así como un Índice de Productividad de Malmquist para evaluar dinámicamente la productividad. El sistema validado permite determinar su productividad o la de un grupo de productos/servicios, la productividad del sector de pertenencia de la organización, realizar benchmarking e identificar oportunidades de mejora en cuanto a insumos utilizados o cuantía de productos generados. metadata García Camacho, Manuel Eduardo and Anido Rivas, José Daniel mail UNSPECIFIED (2022) Diseño e implementación de un sistema de indicadores de productividad para la gestión de PyMEs colombianas. VISIÓN GERENCIAL, 1 (21). pp. 43-58. ISSN 13178822

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Cerrado Inglés The Internet of Things (IoT) is a revolutionary technique of sharing data for smart devices that generates huge amounts of data from smart healthcare systems. Therefore, healthcare systems utilize the convergence power and traffic analysis of sensors that cannot be satisfactorily handled by the IoT. In this article, a novel mutation operator is devised and incorporated with the differential evolution (DE) algorithm. Two tests have been conducted in the validation process. Firstly, the newly dual adaption-based operators incorporated with the differential evolution algorithm are being proposed. The proposed approach provides sufficient diversity and enhances the search speed of nature’s local and global search environments in the problem. The proposed method incorporates the application of IoT-based smart healthcare. Second, an application-based test has been conducted, in which the proposed approach is applied to the application in the smart healthcare system. Therefore, IoT sensor deployment is an optimization problem to minimize service time, delay, and energy loss by considering the communication constraint between sensors(objects). The proposed algorithm is applied in this article to solve this optimization problem. Further, in the experimentation and comparative study, the proposed method is superior to the standard evolutionary algorithms in IoT applications concerning the minimum number of function evaluations and minimization of traffic services. The proposed approach also achieves efficiency in the minimum loss of energy in each service and reduces load and delay metadata Singh, Shailendra Pratap and Viriyasitavat, Wattana and Juneja, Sapna and Alshahrani, Hani and Shaikh, Asadullah and Dhiman, Gaurav and Singh, Aman and Kaur, Amandeep mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city. Physical Communication, 55. p. 101893. ISSN 18744907

Article Subjects > Physical Education and Sport
Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español La educación física, como cultura del movimiento, es una práctica compleja de enseñanza e investigación que se desarrolla históricamente y por tanto hay que analizar como práctica situada que ocurre entre sujetos que también tienen su propio sentido histórico, social y político. La educación en la escuela es el espacio privilegiado de enseñanza de la educación física para la transformación social, es decir, para la praxis. A partir de estas consideraciones en este artículo propongo algunas reflexiones sobre la importancia del estudio de la praxis docente en sentido amplio, así como el lugar del profesor de educación física en tanto sujeto involucrado con la educación de las nuevas generaciones y por tanto responsable de, no solo generar espacios que circulen los saberes propios de la educación física, sino también de habilitar la reflexión colectiva en un intento por superar la perspectiva técnica de la enseñanza. Primero se presenta el concepto de educación y escuela y los sentidos que han asumido históricamente, luego se presentan las prácticas de enseñanza institucionalizas, y por último se presentan algunos aspectos de la situación actual de la educación física en relación con la temática, es decir las relaciones entre educación, escuela y educación física escolar. metadata Oroño Lugano, Marcela and Azaustre Lorenzo, María Carmen mail UNSPECIFIED (2022) Educación, enseñanza, escuela y educación física: sentidos, relaciones y puntos de encuentros a la luz de la praxis docente. MLS Educational Research, 6 (2). ISSN 2603-5820

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Portugués Na construção das sociedades contemporâneas, o convívio social exige organizar e estandardizar instrumentos que regulam os direitos e deveres do cidadão, nesse aspecto a Educação é um importante instrumento de informação, disseminação e controle dos direitos e deveres do cidadão nas sociedades democráticas. Portanto, o objetivo deste estudo foi refletir sobre a Educação em Direitos Humanos tecendo indicações que contribuam aos formuladores de políticas educacionais, professores e educadores, aperfeiçoamento para a disseminação dos direitos fundamentais das pessoas. Destacando o acesso à educação como direito público subjetivo fundamental, dever do Estado e da família previsto na Constituição Federal de 1988. Utilizou-se da metodologia do tipo qualitativa descritiva e exploratória, efetuou-se um levantamento bibliográfico e documental para embasamento sobre os instrumentos legais do Estado brasileiro que versam sobre a temática. Considerações finais: ressalta-se a importância de incorporar os conceitos de cidadania desde a chegada da criança à escola, considerando-se que as teorias sociais fortalecem o modelo de aprendizagem voltado à transversalidade do ensino/aprendizagem de DHs na educação básica, destacando os objetivos da instrução assentada na autoestima dos hipossuficientes. Portanto, a sugestão é para a formulação de políticas públicas destinadas a detectar e solucionar eventuais deficiências metodológicas auxiliando assim o trabalho dos professores e educadores. metadata Rabelo de Souza, Neide Liamar and de Almeida Marihama, Diego Kenji and Santos e Campos, María Aparecida mail UNSPECIFIED, UNSPECIFIED, maria.santos@unini.edu.mx (2022) Educar em e para os direitos humanos, criando na escola básica a cidadanização e a socialização do futuro. Scientia Generalis, 3 (1). pp. 343-359.

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Portugués Este trabalho tem como objetivo apresentar os horizontes educacionais da Educação Ambiental Popular (EAP) e da Educação para o Desenvolvimento Sustentável (EDS). Através de uma abordagem hermenêutica, apresenta e discute os fundamentos de cada perspectiva. Uma das conclusões dessa pesquisa bibliográfica é reconhecer a impossibilidade de fundir esses horizontes. Também reconhece a força das políticas neoliberais no alcance dos objetivos das agendas internacionais que, muitas vezes sem aprofundar o debate, oferecem soluções mágicas que não promovem a emancipação. O estudo defende o horizonte da Educação Ambiental Popular (EAP) para a América Latina e o Caribe, considerando um horizonte crítico que problematiza os caminhos colonialistas, reforça a identidade e o pertencimento e se orienta por um projeto coletivo de sociedade muito além da lógica do mercado. Representada nos casos do Brasil e do México, essa educação pode servir de referência para outros contextos em que se busca a transformação da sociedade através da educação. metadata Pereira, Vilmar Alves and Silva, Rodrigo Florêncio da and Ramírez-Sánchez, Miguel Ysrrael mail vilmar.alves@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) Educação ambiental popular na América Latina e Caribe e educação para o desenvolvimento sustentável: incongruências e desafios. Revista Científica FAEMA, 13 (1). pp. 92-113. ISSN 2179-4200

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español Introducción: Las caídas se consideran como uno de los síndromes geriátricos más importantes por su alta incidencia en los adultos mayores de 65 años. Las caídas pueden generar diversas e importantes consecuencias físicas y/o psicológicas, deterioro funcional, dependencia e incluso la muerte. Objetivo: Determinar la efectividad del entrenamiento propioceptivo para prevenir el riesgo de caídas en el adulto mayor de 65 años residente en un hogar de reposo en el km 1 vía a Dapa, Valle del Cauca. Metodología: Se realizó una investigación cuasiexperimental de corte transversal, con muestra no probabilística constituida por 12 mujeres y 3 hombres adultos mayores de 65 años residentes en un hogar de reposo, participando de manera voluntaria en un entrenamiento propioceptivo de 6 semanas, dos veces a la semana durante los meses de marzo y abril de 2021. La factibilidad de la propuesta de ejercicios propioceptivos se validó a partir de la técnica de investigación grupo nominal. Los resultados incluyeron las pruebas Short Physical Performance Battery (SPPB) y Timed up and go (TUG) evaluadas pre y post intervención. Resultados: Hubo diferencias significativas en el nivel de funcionalidad pre- post intervención, (p<0,05), las dos variables (nivel de riesgo de caída y nivel de funcionalidad) se correlacionan en sentido inverso (p<0,05). Conclusiones: El entrenamiento propioceptivo es efectivo para mejorar el equilibrio estático/dinámico, la velocidad de la marcha y fuerza de extremidades inferiores en los adultos mayores de 65 años que residen en un hogar de reposo. metadata Vélez Alape, Natalia and Hernández Cruz, Leonardo de Jesús and Velarde-Sotres, Álvaro mail UNSPECIFIED, leonardo.hernandez@unib.org, alvaro.velarde@uneatlantico.es (2022) Efecto de un entrenamiento propioceptivo para prevenir el riesgo de caída en adultos mayores. MLS Sport Research, 2 (2).

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost of computed tomography(CT). Examining the lung CT images to detect pulmonary nodules, especially the cell lung cancer lesions, is also tedious and prone to errors even by a specialist. This study proposes a cancer diagnostic model based on a deep learning-enabled support vector machine (SVM). The proposed computer-aided design (CAD) model identifies the physiological and pathological changes in the soft tissues of the cross-section in lung cancer lesions. The model is first trained to recognize lung cancer by measuring and comparing the selected profile values in CT images obtained from patients and control patients at their diagnosis. Then, the model is tested and validated using the CT scans of both patients and control patients that are not shown in the training phase. The study investigates 888 annotated CT scans from the publicly available LIDC/IDRI database. The proposed deep learning-assisted SVM-based model yields 94% accuracy for pulmonary nodule detection representing early-stage lung cancer. It is found superior to other existing methods including complex deep learning, simple machine learning, and the hybrid techniques used on lung CT images for nodule detection. Experimental results demonstrate that the proposed approach can greatly assist radiologists in detecting early lung cancer and facilitating the timely management of patients. metadata Shafi, Imran and Din, Sadia and Khan, Asim and Díez, Isabel De La Torre and Pali-Casanova, Ramón and Tutusaus, Kilian and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, kilian.tutusaus@uneatlantico.es, UNSPECIFIED (2022) An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network. Cancers, 14 (21). p. 5457. ISSN 2072-6694

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español La investigación presenta una teoría integracionista del Derecho producto de la globalización, responde a la necesidad actual de explicar los componentes teóricos del derecho ante la pérdida del monopolio normativo del Estado, la lex mercatoria, el soft law y el pluralismo jurídico. La metodología siguió un enfoque cualitativo desde el paradigma constructivista, bibliográfica de tipo documental. Se utilizaron los métodos analíticos sintéticos, y hermenéutico, apoyados en el análisis de contenido. Se concluyó, que los Derechos humanos son el elemento fundamental en ordenamiento jurídico actual, del cual, se deben fundamentar el resto de las fuentes del Derecho, siendo los Derechos Humanos, el elemento de validez del derecho. La organización planteada para un orden normativo plural tiene forma de círculos concéntricos que parten de los Derechos Humanos, como principal valor del Derecho actual metadata Moreno Arvelo, Pamilys Milagros and García Lara, Roberto mail UNSPECIFIED (2022) El Derecho producto de la globalización: una teoría integracionista. Universidad y Sociedad, 14 (S4). pp. 252-259. ISSN 2218-3620

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español En la actualidad, se menciona sobre el derecho a la ciudad en varios documentos, y en Ecuador, no es la excepción. Por ello el derecho a la ciudad debe sincronizarse con el tan anhelado desarrollo que derive en el buen vivir. Un derecho hacia una ciudad humana, social sin descuidar lo económico y ambiental y otros aspectos que surjan respecto que se trata sobre el crecimiento urbano sostenible. El presente trabajo de investigación, en la introducción, principalmente se enuncian aspectos jurídicos y conceptuales entre el derecho a la ciudad y el desarrollo, donde los actores territoriales que también se denominan agentes locales del desarrollo tienen una importancia muy visible. Luego, en cuanto a la metodología, se propone, un estudio de naturaleza jurídica, con enfoque cualitativo, del tipo no experimental, en base al método socio jurídico y mediante la revisión documental, bibliográfica y legislativa que constituye el instrumento de la presente investigación. Posteriormente, en referencia a los resultados, el más relevante, evidencia que, si existe legislación y conceptos que refieren el derecho a la ciudad desde la constitucionalidad y la ley orgánica principalmente, sin embargo, la misma evoluciona con limitaciones. Otro factor que se encuentra también, corresponde a los actores o agentes territoriales del desarrollo local, con la responsabilidad por contribuir al tan anhelado derecho a la ciudad y el desarrollo humano. Finalmente, la discusión y conclusión no corresponde a un proceso estático, sino, dinámico, que, a través del presente documento, permite abrir un campo para futuros trabajos de investigación enmarcados en las doctrinas de desarrollo local, presentando una relación causal entre derecho a la ciudad y el desarrollo. metadata Hinojosa Silva, Humberto Rafael mail UNSPECIFIED (2022) El derecho a la ciudad y el desarrollo en Ecuador. MLS Law and International Politics, 1 (1).

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español El presente artículo hace referencia a una investigación sobre la preparación del profesor de español como lengua extranjera para la enseñanza en línea, en el marco del estudio sobre el estado actual de la superación de este docente. El objetivo fue identificar logros y limitaciones en el desempeño profesional de los profesores de español como lengua extranjera en escuelas públicas de Jamaica. Se utilizó un enfoque metodológico mixto que integra métodos, escalas de medición y datos de orden cuantitativo y cualitativo. Los métodos, instrumentos y técnicas a utilizar fueron la encuesta, la observación y la entrevista. La investigación identifica limitaciones en el desempeño profesional de este docente, que están relacionadas con insuficiencias teórico-metodológicas, visibilizando las necesidades de perfeccionar el contenido para la superación de este profesor en el sistema educativo jamaicano metadata Mumby Lalor, Patricia Simone and Pérez Serrano, Elsie Alejandrina mail UNSPECIFIED (2022) El desempeño profesional de profesores de español como lengua extranjera en Jamaica. Luz, 21 (3). pp. 4-19.

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español La proliferación de proyectos de desarrollo en África en general y en Camerún en particular durante la última década contrasta con sus resultados que en la mayoría de los casos son ambiguos. Estas actuaciones dependen en gran medida de las estrategias y decisiones adoptadas por los actores que interactúan. El análisis estratégico es, por tanto, un enfoque fundamental para comprender mejor los resultados de los programas de desarrollo. En este marco encaja el método MACTOR (Godet, 2007), una aplicación de la racionalidad actancial en el análisis de las interacciones humanas. Permite identificar a todos los actores activos y pasivos que intervienen en un proyecto y definir la matriz de alianzas, conflictos, estrategias, tácticas y objetivos que persiguen estos actores. Este método abre la vía a un análisis activo de la gestión de los proyectos de desarrollo para identificar mejor sus puntos fuertes y débiles. Este artículo es una revisión sistemática de las cuestiones en juego en este método y su aplicación en el contexto camerunés. Destaca los determinantes teóricos del método y su relevancia en el análisis de gestión de proyectos bajo una racionalidad actancial. metadata Assontia Djoudji, Gaston and en Bediang, Roger Kolokosso and Begnikin, Jean Joël mail gaston.assontia@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) El método MACTOR para analizar los procesos de gestión de los proyectos y programas de desarrollo en África. Project Design and Management, 4 (1). pp. 1-14. ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recognition, home automation, computer games, stress treatment, patient observation, depression, psychoanalysis, and robotics. Robot interfaces, emotion-aware smart agent systems, and efficient human–computer interaction all benefit greatly from facial expression recognition. This has garnered attention as a key prospect in recent years. However, due to shortcomings in the presence of occlusions, fluctuations in lighting, and changes in physical appearance, research on emotion recognition has to be improved. This paper proposes a new architecture design of a convolutional neural network (CNN) for the FER system and contains five convolution layers, one fully connected layer with rectified linear unit activation function, and a SoftMax layer. Additionally, the feature map enhancement is applied to accomplish a higher detection rate and higher precision. Lastly, an application is developed that mitigates the effects of the aforementioned problems and can identify the basic expressions of human emotions, such as joy, grief, surprise, fear, contempt, anger, etc. Results indicate that the proposed CNN achieves 92.66% accuracy with mixed datasets, while the accuracy for the cross dataset is 94.94%. metadata Qazi, Awais Salman and Farooq, Muhammad Shoaib and Rustam, Furqan and Gracia Villar, Mónica and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Emotion Detection Using Facial Expression Involving Occlusions and Tilt. Applied Sciences, 12 (22). p. 11797. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Rivers are dynamic geological agents on the earth which transport the weathered materials of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for management, planning, and designing in any river basin system. Estimation of SSY is critical due to its complex nonlinear processes, which are not captured by conventional regression methods. Rainfall, temperature, water discharge, SSY, rock type, relief, and catchment area data of 11 gauging stations were utilized to develop robust artificial intelligence (AI), similar to an artificial-neural-network (ANN)-based model for SSY prediction. The developed highly generalized global single ANN model using a large amount of data was applied at individual gauging stations for SSY prediction in the Mahanadi River basin, which is one of India’s largest peninsular rivers. It appeared that the proposed ANN model had the lowest root-mean-squared error (0.0089) and mean absolute error (0.0029) along with the highest coefficient of correlation (0.867) values among all comparative models (sediment rating curve and multiple linear regression). The ANN provided the best accuracy at Tikarapara among all stations. The ANN model was the most suitable substitute over other comparative models for SSY prediction. It was also noticed that the developed ANN model using the combined data of eleven stations performed better at Tikarapara than the other ANN which was developed using data from Tikarapara only. These approaches are suggested for SSY prediction in river basin systems due to their ease of implementation and better performance. metadata Yadav, Arvind and Chithaluru, Premkumar and Singh, Aman and Joshi, Devendra and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Anand, Divya mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, divya.anand@uneatlantico.es (2022) An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling. Water, 14 (22). p. 3714. ISSN 2073-4441

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español La Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura (UNESCO, 2011) manifestó que las Tecnologías de la información y Comunicación (TIC`s), pueden mejorar el proceso de enseñanza-aprendizaje. Para esto es necesario, tener una reforma de los sistemas convencionales en enseñanza y el incremento de la calidad de los aprendizajes, mediante una formación enfocada a desarrollar las habilidades que solicita la Sociedad de la Información (UNESCO, 2011). Sin embargo, debido a la pandemia esta reforma se realizó de manera intempestiva, lo que llevo al sistema educativo a enfrentarse a un momento trascendental, puesto que, gran parte de las universidades se cerraron, y la educación presencial mudó a la no presencialidad. Según un reporte de la Unesco en 2020, unos 185 países suspendieron las clases totalmente, lo que implica más de 1.500 millones de alumnos afectados, es donde surgen las interrogantes ¿están los docentes preparados para este cambio?, ¿poseen las estrategias didácticas para la educación no presencial? Esta investigación mediante una revisión sistemática pretende dar una respuesta a estas interrogantes, específicamente en el área de las ciencias sociales y de la salud, en los profesionales fonoaudiólogos que ejercen docencia en la educación a distancia no presencial en el contexto de pandemia por coronavirus (COVID-19). En base a esta revisión es posible señalar que, la educación a distancia no presencial ofrece una gran cantidad de oportunidades, pero, así como ofrece oportunidades, también manifiesta importantes retos para mantener la calidad y pertinencia educativa. Para aprovechar las ventajas que ofrecen las nuevas modalidades, es necesario una mejora continua en la práctica de la educación a distancia, buscando las mejores estrategias para el ejercicio docente y el desarrollo de los estudiantes que se inclinan por recibir su formación académica bajo esta modalidad. metadata Navarrete Astudillo, Elizabeth and Pereira, Vilmar Alves mail UNSPECIFIED (2022) Estrategias didácticas y desafíos de enseñanza-aprendizaje para los docentes fonoaudiólogos de Chile en la educación a distancia por contexto de pandemia COVID-19. Research, Society and Development, 11 (4). e4311427164. ISSN 2525-3409

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español Antecedentes: En la península de Yucatán, algunas zonas del manglar han sido rellenadas con escombros y basura, donde posteriormente se establecieron zonas habitacionales. Preguntas: ¿Puede usarse el conocimiento de la estructura forestal y el almacén de carbono para establecer la línea base para la conservación de los manglares urbanos? Especies de estudio: Rhizophora mangle L., Laguncularia racemosa Gaertn f., Avicennia germinans L. y Conocarpus erectus L. Sitio y años de estudio: Isla del Carmen, Campeche, año 2017. Métodos: Se establecieron unidades de muestreo para evaluar la vegetación y medir el carbono aéreo y subterráneo en dos zonas de manglar, la primera fue rellenada con escombros y otra sin cambios del suelo. Resultados: La zona rellenada con escombros presentó un área basal de 25.4 m2 ha-1, donde A. germinans fue la especie dominante con 675 árboles ha-1, con promedios de 5.5 m en altura y 13.4 cm de diámetro. La otra zona sin cambios del suelo presentó un área basal de 27.8 m2 ha-1, siendo también A. germinans la especie más abundante con 731 árboles ha-1, pero su altura fue más baja (5.0 m) y su diámetro a la altura del pecho mayor (15.2 cm) que en la otra zona. El carbono total almacenado en la segunda zona (383 Mg C ha-1) fue mayor que en la primera (321 Mg C ha-1). Conclusiones: El valor ecológico de la vegetación y la captura de carbono contribuye en el fortalecimiento de medidas de conservación y protección del manglar ante las invasiones urbanas. metadata Hernández-Nava, José and Pascual Barrera, Alina Eugenia and Zaldívar-Jiménez, Arturo and Pérez-Ceballos, Rosela mail UNSPECIFIED, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) Estructura y secuestro de carbono en manglares urbanos, fundamentos para su conservación en Isla del Carmen, Campeche, México. Botanical Sciences, 100 (4). pp. 899-911. ISSN 2007-4298

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Existe una escasez de literatura que examine el impacto de las intervenciones antiacoso en niños de escuelas primaria rurales. Sin embargo, se ha documentado que la intervención a temprana edad y la educación familiar es impactante para combatir el acoso. Por esto, durante tres años, se examinó los efectos de las intervenciones en las tasas de acoso escolar entre niños de una escuela primaria rural en el sur del estado de Florida en EE. UU. Las intervenciones escolares analizadas incluyen: psicoeducación en grupos, terapia de conversación, acción con consecuencias, y la participación de los padres. Solamente 55 de los 1,712 estudiantes, (3,2%) de la muestra, resultaron ser acosadores. Fueron denunciados 226 presuntos eventos de acoso y de estos, solamente 46 cumplieron los criterios de acoso escolar establecidos por la junta escolar. Luego de aplicar las técnicas de intervención de manera rigurosa y con fidelidad, los reportes falsos disminuyeron un 96%, y los eventos de acosos reales disminuyeron en un 83%. Los resultados indicaron que las intervenciones antiacoso tienen la capacidad de reducir o eliminar por completo el acoso en estudiantes de primaria. La intervención más exitosa fue la combinación de grupos de charlas con acción/consecuencias y participación de los padres. metadata Moscoso, Laraine mail UNSPECIFIED (2022) Estudio longitudinal sobre las intervenciones antiacoso para estudiantes de primaria en una escuela rural. Contextos Educativos. Revista de Educación (30). pp. 195-210. ISSN 1575-023X

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Antecedentes: La deserción escolar es un fenómeno que afecta a las instituciones educativas en todas sus categorías y estratos sociales. En los últimos años, las instituciones educativas de Puerto Rico han reportado una baja en la matrícula de estudiantes. Esto ha creado complicaciones económicas y por ende el cierre de programas y despidos, entre otras. Diversos estudios establecen que situaciones en la familia, sociales, el trabajo, entre otros factores, contribuyen a la falta de compromiso de los alumnos para finalizar su carrera. El propósito del estudio fue explorar las estrategias de retención que utilizan los educadores para retener estudiantes en sus cursos, conociendo ya las diversas situaciones que afectan la retención. Metodología: Cualitativo de índole transversal. Se recogieron datos demográficos, se aplicaron instrumentos y se realizaron entrevistas. Se entrevistaron 12 facultativos. La entrevista fue grabada en audio y los datos se transcribieron palabra por palabra. Los datos fueron sometidos a análisis de contenido. Hallazgos: A través de este estudio se logró analizar las estrategias más utilizadas por la facultad de enfermería para retener sus estudiantes hasta finalizar sus cursos sin afectar la calidad de la enseñanza. La retención es de suma importancia ayuda para obtener ayudas datos, fortalecer estadísticas, tomar decisiones e informes que se le proveen a las diversas agencias acreditadoras. También se conocieron carencias de nuestros estudiantes como fue la prioridad del trabajar y sacar a su familia hacia adelante dejando sus estudios en un tercer plano. Conclusión: Los educadores deben estar familiarizados con estrategias de retención que garanticen una educación de excelencia. metadata López Lebrón, Joseline and Torres Pagán, Leonardo mail UNSPECIFIED, leonardo.torres@unini.org (2022) Estudio sobre el análisis de las estrategias empleadas por la facultad de enfermería para cumplir con la retención de los estudiantes del Programa de Enfermería. MLS Educational Research, 6 (1). pp. 7-20. ISSN 26035820

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español En una sociedad globalizada, la ciberdelincuencia se ha vuelto un problema importante, generando riesgos de información indispensable, como contraseñas, datos personales, entre otros. Sin mencionar, las grandes sumas de dinero que los ataques cibernéticos logran alcanzar cada año. Esta situación ha tomado tal magnitud, que las medidas de seguridad convencionales no son suficientes para brindarnos seguridad en un entorno digital. Por tal motivo, surge la necesidad de implementar nuevas herramientas de protección informática, de las cuales han destacado los “Honeypots”. Estos últimos ha tomado relevancia, además de proteger, proporcionar seguridad; se consideran sistemas de tipo “trampa” que sirve para observar los diferentes comportamientos de ciberataques para posteriormente analizar la intrusión, los métodos que se utilizaron. El presente artículo pretende como objetivo general, el estudio del comportamiento activo de un Honeypot para posteriormente determinar su rendimiento, precisar su grado de eficiencia en la detección y clasificación de intrusos de ciberataques. Para tal propósito, se implementará una metodología tecnológica, integrada por cinco (5) Fases: diagnóstico, diseño de un plan, recursos, monitoreo y evaluación, tal como lo plantea Arias (2016). Se elaborará un estudio que implique el uso de un Honeypot con monitoreo constante en tres tipos de situaciones diferentes que simulen un ataque cibernético, en distintos grados de intensidad: sin ataques alguno, ataques inferiores a 5 ciclos por minutos (Ataques leves), ataques superiores a 10 ciclos por minutos (Ataques fuertes). Los resultados obtenidos son altamente aceptables; el honeypot obtuvo un 95% de eficiencia en la detección de ciber ataques simulados con un rendimiento de 95.4%. metadata Lorusso Montiel, Giovanni Carlos and Uc Ríos, Carlos Eduardo mail namus15@gmail.com, carlos.uc@unini.edu.mx (2022) Evaluación del rendimiento de Honeypot en redes telemáticas. TELEMATIQUE, 21 (1). pp. 26-45.

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Los cambios sociales ocurren cotidianamente, la cultura, las costumbres, las formas de interpretar, ver y analizar se transforman para acompañar los nuevos modelos que se reflejan dentro de las escuelas. El espíritu empresarial de acuerdo con el Sebrae (2018, p. 3), puede ser un gran aliado en la educación, contribuyendo al desarrollo de la localidad y la cultura emprendedora en la región además de estimular en los alumnos la formación de agentes transformadores de la sociedad. Este artículo tiene como objetivo analizar el índice de satisfacción de la educación emprendedora en profesores de la enseñanza primaria, a través del programa Jóvenes Empreendedores-Primeiros Passos, respecto a la aplicación práctica del programa con os alumnos involucrados en el proyecto. Tratase de un estudio cualitativo descriptivo, con trabajo de campos. La amuestra fue compuesta por 245 profesores de 06 ciudades del estado de Rondônia. Los resultados se orientaron en la demostración que los profesores y alumnos involucrados en el proyecto, presentaron algunas características emprendedoras, además de la manifestación de espíritu emprendedor. Con relación a Metodologías se destaca que con la introducción de las tecnologías digitales de información y comunicación (TDIC) ha cambiado significativamente en la dinámica en las aulas de modelos analógicos, ya que los alumnos están en el modelo digital. El curso ha tenido un efecto positivo en profesores y alumnos que siguen demostrando el espíritu emprendedor. Con relación a la integración de las tecnologías digitales en las actividades pedagógicas, se puede utilizar el Blended Learning o enseñanza híbrida. En este modelo, las actividades se dividen entre actividades presenciales en aula y enseñanza que utilizan recursos online con actividades de enseñanza a distancia. metadata Scavassa, Aparecido Claudio and Santos e Campos, María Aparecida mail UNSPECIFIED (2022) Evaluación del índice de satisfacción de los profesores participantes del curso educación emprendedora: jóvenes emprendedores. Primeros pasos de Sebrae en escuelas públicas del estado de Rondônia. MLS Educational Research (MLSER), 6 (1). pp. 21-41.

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés The development of biodegradable materials arises as an alternative to reduce the pollution caused by plastic waste to the environment, with this premise this study was proposed to develop plastic biopolymers from bioactive compounds with different matrices modified cassava starch (5 – 12 %), fish scale collagen (10 – 40 %), lemon essential oil (0,5 - 1,5 %) and gelatinization temperature (70 – 80 °C); A Box Behnken response surface experimental design was used; with the determination of their mechanical properties (maximum stress, Young's modulus, shear strength, stress at break and percentage elongation at break). According to the results found, it was determined that the modified cassava starch had the greatest influence on the mechanical properties, taking into account its importance to create more resistant materials, but it evidences plasticizing difficulties, where the fish scale collagen has a significant influence. In addition, it is evidenced that lemon essential oil had a great influence on Young's modulus (46,28 ± 2,31 MPa) and the percentage of elongation (69,69 ± 2,16 %); while the gelatinization temperature of 80 °C is not recommended for this type of starch-protein matrices due to damage of the structure; determining a better mechanical resistance and a great increase of Young's modulus. In conclusion, the characteristics and performance of the film based on cassava starch, collagen flakes and lemon essential oil have a positive impact on the maximum level of mechanical efficiency of the biodegradable films, achieving a better performance in their mechanical properties. metadata Sánchez Soto, Juan Manuel and López-Alcántara, Ruth and Sánchez-González, Andrea del Pilar and Torres-Mendoza, Eyleen Jeniffer mail juan.sanchez@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Evaluation of mechanical properties of matrices derived from fish scale collagen. Revista Colombiana de Investigaciones Agroindustriales, 9 (2). pp. 119-129. ISSN 2422-4456

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sample of 186 projects aimed at local communities in Latin American and Caribbean countries. First, the compliance evaluation with the Sustainable Development Goals (SDGs) within the framework of the 2030 Agenda served to diagnose and determine, through fuzzy sets, a global sustainability index for the sample, resulting in a value of 0.638, in accordance with the overall average for the region. Probabilistic predictions were then made on the sustainability of the projects using a series of supervised learning classifiers (SVM, Random Forest, AdaBoost, KNN, etc.), with the SMOTE resampling technique, which provided a significant improvement toward the results of the different metrics of the base models. In this context, the Support Vector Machine (SVM) + SMOTE was the best classification algorithm, with accuracy of 0.92. Lastly, the extrapolation of this methodology is to be expected toward other realities and local circumstances, contributing to the fulfillment of the SDGs and the development of individual and collective capacities through the management and direction of projects. metadata García Villena, Eduardo and Pascual Barrera, Alina Eugenia and Álvarez, Roberto Marcelo and Dzul López, Luis Alonso and Tutusaus, Kilian and Vidal Mazón, Juan Luis and Miró Vera, Yini Airet and Brie, Santiago and López Flores, Miguel A. mail eduardo.garcia@uneatlantico.es, alina.pascual@unini.edu.mx, roberto.alvarez@uneatlantico.es, luis.dzul@uneatlantico.es, kilian.tutusaus@uneatlantico.es, juanluis.vidal@uneatlantico.es, yini.miro@uneatlantico.es, santiago.brie@uneatlantico.es, miguelangel.lopez@uneatlantico.es (2022) Evaluation of the Sustainable Development Goals in the Diagnosis and Prediction of the Sustainability of Projects Aimed at Local Communities in Latin America and the Caribbean. Applied Sciences, 12 (21). p. 11188. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Cerrado Inglés Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5 G edge computing for low latency. However, some existing works assumed altruistic patients will sacrifice Quality of Service (QoS) for the global optimum. For priority-aware and deadline-sensitive healthcare, this sufficient and simplified assumption will undermine the engagement enthusiasm, i.e., unfairness. To address this issue, we propose a long-term proportional fairness-driven 5 G edge healthcare, i.e., FairHealth. First, we establish a long-term Nash bargaining game to model the service offloading, considering the stochastic demand and dynamic environment. We then design a Lyapunov-based proportional-fairness resource scheduling algorithm, which decouples the long-term fairness problem into single-slot sub-problems, realizing a trade-off between service stability and fairness. Moreover, we propose a block-coordinate descent method to iteratively solve non-convex fair sub-problems. Simulation results show that our scheme can improve 74.44% of the fairness index (i.e., Nash product), compared with the classic global time-optimal scheme. metadata Lin, Xi and Wu, Jun and Bashir, Ali Kashif and Yang, Wu and Singh, Aman and AlZubi, Ahmad Ali mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things. IEEE Transactions on Industrial Informatics. pp. 1-10. ISSN 1551-3203

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The rapid expansion of Internet of Things (IoT) devices deploys various sensors in different applications like homes, cities and offices. IoT applications depend upon the accuracy of sensor data. So, it is necessary to predict faults in the sensor and isolate their cause. A novel primitive technique named fall curve is presented in this paper which characterizes sensor faults. This technique identifies the faulty sensor and determines the correct working of the sensor. Different sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular form. Fault prediction in digital and analog sensors along with methods of sensor fault prediction are described. There are several advantages and disadvantages of sensor fault prediction methods and the fall curve technique. So, some solutions are provided to overcome the limitations of the fall curve technique. In this paper, a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five years. Its novelty is to predict a fault before its occurrence by looking at the fall curve. The sensing of current flow in devices is important to prevent a major loss. So, the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty devices. The analysis result proved that if any of the current sensors gets faulty, then the fall curve will differ and the value will immediately drop to zero. Various evaluation metrics for fault prediction are also described in this paper. At last, this paper also addresses some possible open research issues which are important to deal with false IoT sensor data. metadata Uppal, Mudita and Gupta, Deepali and Anand, Divya and S. Alharithi, Fahd and Almotiri, Jasem and Ortega-Mansilla, Arturo and Singh, Dinesh and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve. Computers, Materials & Continua, 72 (1). pp. 1799-1814. ISSN 1546-2226

Article Subjects > Biomedicine
Subjects > Physical Education and Sport
Subjects > Nutrition Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español El presente estudio tiene como objetivo determinar las relaciones entre los valores de funcionalidad motriz, estado nutricional e índices antropométricos de salud en adolescentes chilenos de 12 a 15 años. Estudio de corte transversal con una muestra no probabilística y por conveniencia, con una muestra final de 384 escolares (13,04 ± 0,85 años). Todos los participantes asistieron a dos sesiones de evaluación, donde se les realizó un registro de la historia clínica y una examinación física médica. En la segunda sesión, se realizaron evaluaciones antropométricas y las pruebas consideradas en la batería Functional Movement Screen (FMS). Los resultados muestran un 46,62% de los adolescentes posee sobrepeso y/u obesidad. El score total de FMS fue de 14,29±2,85 y se encontraron diferencias significativas en el IMC (índice de masa corporal) p=0,000 y en el peso p=0,002 según dependencia administrativa. Existe una relación entre FMS y PC (Perímetro de cintura), IMC e ICE (índice cintura estatura) (r=-0,31**p<0,003, r=-0,14**p<0,004 y r=0,38**p<0,003 respectivamente). También se encontró que aquellos escolares que presentan riesgo cardio metabólico también ostentarían un mayor riesgo relacionado con una baja calidad de la funcionalidad motriz. Se concluye que los niveles elevados de parámetros antropométricos de riesgo cardiovascular en especial el exceso de peso y el elevado perímetro de cintura se relacionan con una deficiente funcionalidad motriz. Y por otra parte se generan problemáticas cardiovasculares en esta etapa de la vida sin mayor distinción de sexo y dependencia administraba de los colegios, lo cual hace ver que la mal nutrición y la falta de actividad física impacta de manera transversal a la sociedad. metadata Rodríguez Canales, Carolina and Hinojosa Torres, Claudio and Merellano-Navarro, Eugenio and Barraza-Gómez, Fernando and Hecht-Chau, Gernot mail carolina.rodriguez@unini.org, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Funcionalidad motriz, estado nutricional e índices antropométricos de riesgo cardiometabólico en adolescentes chilenos de 12 a 15 años. Retos: nuevas tendencias en educación f\'\isica, deporte y recreación (45). pp. 400-409.

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Antimicrobial-resistant pathogenic bacteria are an increasing problem in public health, especially in the healthcare environment, where nosocomial infection microorganisms find their niche. Among these bacteria, the genus Acinetobacter which belongs to the ESKAPE pathogenic group harbors different multi-drug resistant (MDR) species that cause human nosocomial infections. Although A. baumannii has always attracted more interest, the close-related species A. pittii is the object of more study due to the increase in its isolation and MDR strains. In this work, we present the genomic analysis of five clinically isolated A. pittii strains from a Spanish hospital, with special attention to their genetic resistance determinants and plasmid structures. All the strains harbored different genes related to β-lactam resistance, as well as different MDR efflux pumps. We also found and described, for the first time in this species, point mutations that seem linked with colistin resistance, which highlights the relevance of this comparative analysis among the pathogenic species isolates. metadata Chapartegui-González, Itziar and Lázaro-Díez, María and Ramos Vivas, Jose mail UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es (2022) Genetic Resistance Determinants in Clinical Acinetobacter pittii Genomes. Antibiotics, 11 (5). p. 676. ISSN 2079-6382

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español Esta investigación describe la gestión de herramientas de Inteligencia de Negocios para evaluar el entorno productivo de una empresa comercializadora industrial de Ecuador, en específico, dentro de la categoría comercial de inocuidad. El estudio fue de tipo descriptivo y evaluativo con la presentación de un diseño no-experimental y de corte longitudinal. De una muestra censal de 24 individuos (asesores comerciales, técnicos y directivos), se obtuvo una data mediante la observación directa y la aplicación de una encuesta de preguntas cerradas tipo dicotómicas, con validez de contenido mediante juicio de expertos y registro de buen nivel de confiabilidad (α = 0,91; p < 0,05), cuyo análisis general se ejecutó mediante el método hipotético-deductivo. Los resultados reflejaron que solo el 58% de las intenciones comerciales se concretaron en ventas exitosas y, de estas últimas, el 70% precisó al menos de dos visitas a las instalaciones de clientes. Adicionalmente, solo el 11% de los reclamos correspondieron a las áreas evaluadas (logística). Por la Inteligencia de Negocios pudo diagnosticarse que las no conformidades principales denotaron interrupciones en las actividades transversales de la compañía, producto de la falta de procesos establecidos, indicadores de gestión y desempeño, igualmente por la carencia de herramientas tecnológicas adecuadas. Se concluyó que la empresa amerita de un sistema orientado hacia la optimización de la categoría comercial de inocuidad, los procesos administrativos, operacionales y de mejora continua, con el fin de garantizar una mayor sostenibilidad económica. metadata Malavé-Figueroa, Adelso Nikolai and Arízaga Collantes, Ligia Estefanía mail Adelso.malave@unini.edu.mx, UNSPECIFIED (2022) Gestión de herramientas de inteligencia de negocios para el diagnóstico de la categoría comercial de inocuidad en un entorno empresarial ecuatoriano. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español Dado que la gestión de proyectos es generalmente estresante debido a sus innumerables actividades, una gestión de recursos humanos subjetiva de los proyectos conduce a grandes conflictos y tensiones. El trabajo científico anterior se ha centrado más en la gestión de proyectos para grandes empresas. Las opiniones de los expertos en gestión de proyectos son divergentes entre quienes se muestran escépticos sobre su vínculo con HRM y quienes sostienen que HRM es una palanca global para el éxito del proyecto. Este estudio tiene como objetivo enriquecer este debate centrándose en la existencia de un vínculo entre la gestión de recursos humanos y la gestión de proyectos PYME. La hipótesis general del estudio se basa en el principio de que las prácticas de GRH de las PYMES pueden traducirse en objetividad en los procedimientos de contratación, la relevancia de los sistemas retributivos, los rigores en las acciones formativas y el desarrollo de habilidades determinan los niveles de productividad organizacional. El diseño metodológico adoptado es la técnica de muestreo basada en deseos de administrar un cuestionario a una muestra de 87 partes interesadas en el estudio. Los resultados revelan que las prácticas de gestión de recursos humanos tienen vínculos significativos con la productividad de las pymes. Estos resultados podrían explicarse por las características específicas de la gestión de recursos humanos en las pymes. A modo de discusión, dado que se realizan pocos estudios sobre la gestión de proyectos PYME, ¿no deberían los futuros metodólogos dar protagonismo a la exploración de esta perspectiva de investigación? metadata Youmbi, Djiowou and Antoinette, Song mail herve.djiowou@doctorado.unini.edu.mx, UNSPECIFIED (2022) Gestión de proyectos empresariales en el eje de gestión de recursos humanos: impacto de las prácticas de gestión de recursos humanos en la productividad de las pymes agroalimentarias camerunesas. Project Design and Management, 4 (1). pp. 36-51. ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español La gestión de proyectos es una disciplina que influye en forma directa en el éxito o fracaso de cualquier proyecto, la industria del software no es la excepción. La currícula académica de las universidades se centra en brindar los conocimientos necesarios para que los estudiantes adquieran las competencias técnicas y metodológicas necesarias para lograr la correcta ejecución de un proyecto. Sin embargo, el énfasis en materias de gestión de proyectos, así como su práctica en proyectos reales presenta una dificultad adicional y por consiguiente una dedicación menor que el resto de las áreas de conocimiento. En este artículo se responde las siguientes preguntas de investigación: i) ¿Cuántas horas se dedican los estudiantes a la gestión de proyectos? y ii) ¿Las horas de gestión de proyectos se relacionan con la metodología aplicada? En este trabajo de investigación se utilizó un enfoque cuantitativo de carácter no experimental, donde se analizaron los datos provenientes de 349 proyectos de tesis de titulación universitaria de carreras de ciencias de la computación provenientes de dos universidades. Los proyectos analizados se centran en 3 metodologías de gestión: la propuesta por el Project Management Institute (PMI), una específica para proyectos de software y el framework SCRUM. Finalmente, en función de los resultados obtenidos se demuestra que en el contexto académico no existen diferencias considerables que relacionen el esfuerzo con la metodología aplicada y que el esfuerzo en tareas de gestión se ubica en el intervalo de entre 5% y 15% siendo consistente con la literatura presentada. metadata Uc Ríos, Carlos Eduardo and Rojas Sánchez, Miguel Ángel mail carlos.uc@unini.edu.mx, UNSPECIFIED (2022) Gestión de proyectos en tesis de titulación universitaria. Project Design and Management, 4 (1). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español El Área Metropolitana de Misiones no cuenta con un adecuado tratamiento de residuos de construcción y demolición (RCD) por parte de los municipios que la integran, por lo que no alcanzan las bases del desarrollo sostenible. El objeto del artículo fue presentar un modelo para la cuantificación de RCD, desarrollando un caso de estudio correspondiente a la cimentación de 154 viviendas sociales ubicadas en el área de referencia mediante la aplicación del Método de Transferencias Ponderadas, la adopción de dicho método se basó en emplear distintas bases de costos de construcción y cuantificar los RCD que se espera generar en la obra, obteniendo la información de cada elemento, material del pliego y la planilla de cómputo, y el presupuesto del proyecto para luego organizarla según la codificación de la Lista Europea de Residuos. Finalmente, se aplicó el modelo matemático generado a partir del Método de Transferencias Ponderadas, lo que propicio convertir los recursos consumidos en volumen de residuos de hormigón, acero y tierra generados durante la cimentación de 154 viviendas sociales. Se concluyó que el modelo cumple las premisas del trabajo y que su aplicación permitirá apoyar la toma de decisiones respecto a la gestión de RCD. metadata Sambiasi, César Gabriel and Pascual Barrera, Alina Eugenia and Sambiasi, Ana María mail UNSPECIFIED, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Gestión sostenible de residuos de construcción en el Área Metropolitana de Misiones. Revista de Ciencia y Tecnología (37). pp. 40-51. ISSN 03298922

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Portugués O presente Artigo tem por objectivo compreender como a gestão escolar Democrática desenvolve e exerce as suas funções, visando identificar conceitos e reconhecer habilidades, perspectivando o futuro e os grandes desafios das escolas no que tange a gestão democrática, como elementos necessários para gerir. O problema de pesquisa é: como a gestão escolar democrática e participativa desenvolve e exerce as suas funções no ambiente escolar no Município da Caála? O tema da pesquisa A Gestão escolar Democrática e Participativa: Um olhar para as habilidades, perspectivas e desafios dos directores escolares do Município da Caála, surgiu a partir de reflexões realizadas nas aulas da Disciplina de Organização e Gestão Escolar no Curso de Licenciatura em Psicologia do Instituto Superior Politécnico Caála – Polo Universitário do Bailundo. Para a elaboração do presente artigo, utilizou-se a pesquisa quanti-qualitativa e exploratória, e as informações foram colectadas por meio de entrevistas e questionáris Adoc com quatro directores das escolas Públicas do Município da Caála – Província do Huambo, um Coordenador do Polo Universitário do ISPC, quinze estudantes do 4º Ano de Licenciatura em Ensino Primário e Psicologia, ambos profesores e directores de algumas escolas públicas. A importância da gestão democrática é por o Director ser o indivíduo quem deve incentivar e auxiliar a sua equipe, desempenhando o papel de um bom líder. Para que isso aconteça é importante que ele compreenda que o líder sabe dividir as suas responsabilidades e isso faz com que todos sintam-se parte da escola e trabalhem em prol de um processo de ensino e aprendizagem de qualidade. Palavras-Chave: Gestão escolar Democrática. Participativa. Liderança. Humildade metadata Graça da Costa, Mario and Enoque, Francisco Zacarias and da Costa Graça, Henriques mail mario.graca@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) Gestão escolar democrática e participativa: um olhar para as habilidades, competências, perspectivas e desafios dos directores escolares do município da Caála. Revista Ibero-Americana de Humanidades, Ciências e Educação, 8 (1). pp. 66-95. ISSN 2675-3375

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Los países de África Subsahariana repensaron la cuestión de las prácticas docentes durante la crisis sanitaria de Covid-19 integrando las TIC. Gabón cuenta con una de las mejores coberturas de internet en esta parte del continente. Sin embargo, en las zonas rurales la población tiene difícil acceso a la red. De tipo descriptivo, la investigación analiza la incidencia de la formación de los grupos de trabajo para la enseñanza de las lenguas extranjeras en la educación superior durante la pandemia. El método mixto para recolectar y analizar los datos se aplica a un grupo de trabajo WhatsApp del Departamento de Estudios Germánicos de la Universidad Omar Bongo. Los resultados permiten resaltar que la importancia de WhatsApp incrementó como herramienta educativa. Los docentes innovaron y se adaptaron a pesar de algunas limitaciones. metadata Eyeang, Eugénie and Letsina-Epie, Reick Dimitri mail eugenie.eyeang@unini.edu.mx, UNSPECIFIED (2022) Grupo de trabajo WhatsApp para la enseñanza de lenguas extranjeras durante el Covid-19 en un país de África Subsahariana (Gabón). Revista RedCA, 5 (14). p. 70. ISSN 2594-2824

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés This paper focuses on retrieving plant leaf images based on different features that can be useful in the plant industry. Various images and their features can be used to identify the type of leaf and its disease. For this purpose, a well-organized computer-assisted plant image retrieval approach is required that can use a hybrid combination of the color and shape attributes of leaf images for plant disease identification and botanical gardening in the agriculture sector. In this research work, an innovative framework is proposed for the retrieval of leaf images that uses a hybrid combination of color and shape features to improve retrieval accuracy. For the color features, the Color Difference Histograms (CDH) descriptor is used while shape features are determined using the Saliency Structure Histogram (SSH) descriptor. To extract the various properties of leaves, Hue and Saturation Value (HSV) color space features and First Order Statistical Features (FOSF) features are computed in CDH and SSH descriptors, respectively. After that, the HSV and FOSF features of leaf images are concatenated. The concatenated features of database images are compared with the query image in terms of the Euclidean distance and a threshold value of Euclidean distance is taken for retrieval of images. The best results are obtained at the threshold value of 80% of the maximum Euclidean distance. The system’s effectiveness is also evaluated with different performance metrics like precision, recall, and F-measure, and their values come out to be respectively 1.00, 0.96, and 0.97, which is better than individual feature descriptors. metadata Chugh, Himani and Gupta, Sheifali and Garg, Meenu and Gupta, Deepali and Mohamed, Heba G. and Delgado Noya, Irene and Singh, Aman and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irene.delgado@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED (2022) An Image Retrieval Framework Design Analysis Using Saliency Structure and Color Difference Histogram. Sustainability, 14 (16). p. 10357. ISSN 2071-1050

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Cerrado Inglés Global climate change has generated several adverse effects, such as loss of sea ice, earlier breakup of ice on rivers and lakes, more intense heat waves and accelerated sea level rise. Of all the aforementioned effects, sea level rise is an unequivocal and forthcoming effect that has generated great interest. metadata Fernández-Díaz, Violeta Zetzangari and Canul Turriza, Roman and Kuc Castilla, Ángel Gabriel and Arreguín-Rodríguez, Gabriela J. and Mejía-Piña, Karla Gabriela mail UNSPECIFIED (2022) Impact of Sea Level Rise and Flooding in Two Key Mexican Coastal Cities. Ocean Yearbook Online, 36 (1). pp. 139-157. ISSN 2211-6001

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español El concepto de gamificación aplicado en el ámbito educativo, incide positivamente en la motivación y compromiso de los estudiantes en los procesos de aprendizaje. El propósito de este artículo consiste en analizar cuál fue el impacto de la gamificación con TIC en el desempeño académico en el área de ciencias sociales por parte de los estudiantes de cuarto grado de primaria de la institución educativa técnica Antonio Nariño de Moniquirá - Colombia. Metodológicamente se realizó un estudio de tipo mixto secuencial explicativo CUAN CUAL CUAN donde intervienen instrumentos cuantitativos y cualitativos, que cuentan con los respectivos criterios de validez y fiabilidad. La muestra quedó compuesta tanto por docentes, que participaron a través de la entrevista etnográfica y el cuestionario y facilitaron la observación del desarrollo de la propuesta de gamificación, como por estudiantes, que fueron organizados en dos grupos: experimental y control, para confrontar los resultados obtenidos en el pretest y postest. En el análisis de los datos cuantitativos se utilizó el software SPSS 11.0 y para el análisis de los datos cualitativos se implementó la herramienta Atlas.ti. Dentro de los resultados obtenidos se destaca que sí existió diferencia significativa entre las medias de los puntajes obtenidos en el pretest y el postest, tras la implementación de la propuesta gamificada, a la vez que se evidencia mejoramiento del clima en el aula, mayor motivación y participación de los estudiantes en clase. Resalta la propuesta de los docentes en relación al uso de herramientas TIC gamificadoras para planear, motivar, aprender y evaluar, junto al intercambio de experiencias exitosas de gamificación en otras áreas del conocimiento. Se concluye que el uso de estrategias gamificadas supone un aporte positivo a las dinámicas docentes, útil para la mejora de los resultados académicos en ciencias sociales. metadata Rojas Soler, Luz Erminda and Amber, Diana mail lerojass@misena.edu.co, UNSPECIFIED (2022) Impacto de la gamificación con TIC en la enseñanza de las ciencias sociales en estudiantes de cuarto grado de primaria. MLS Educational Research, 6 (2). ISSN 2603-5820

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español Se presentan resultados de una investigación que estudia el impacto de la experimentación como estrategia que permite fortalecer la adquisición de aprendizajes significativos relacionados con el área de Ciencias Naturales. Se aplica el estudio de casos, seleccionando estudiantes del ciclo II de la Institución Educativa Distrital Andrés Bello en Colombia. La muestra contó con un total de 196 estudiantes y 9 docentes. Para dar respuesta al objeto de estudio, se desarrollan las siguientes fases. Primero, se desarrolló un diagnóstico mediante la realización de un pretest al grupo de estudiantes, luego se aplicaron 8 guías de laboratorio que pusieron a prueba la experimentación; durante estas prácticas se aplicó la observación participante y al finalizar se hizo una socialización. Por último, se realizó un post test para analizar el aprendizaje obtenido durante las prácticas, procediendo a la triangulación de métodos y sujetos. Los resultados en cuanto al diagnóstico evidencian una falta de espacios y herramientas para la experimentación; asimismo, los estudiantes no tenían interiorizados conceptos claves para su ciclo de estudio. Sin embargo, se mostraron motivados con el desarrollo de las guías, pudiéndose evidenciar la comprensión de los conceptos trabajados en el laboratorio. Se concluye que la experimentación como estrategia educativa beneficia a los estudiantes en esta edad ya que, a través de la exploración les resulta más sencillo aprender conceptos básicos. Es por ello que, se sugiere que el currículo académico debe dar una mayor importancia en tiempo y espacios al desarrollo de la experimentación en Ciencias Naturales. metadata Beltran Escobar, Dulfay and Suárez-Ortega, Magdalena mail UNSPECIFIED (2022) Impacto educativo de la experimentación en ciencias naturales: estudio de caso en la Institución Educativa Distrital Andrés Bello en Colombia. MLS Inclusion and Society Journal, 2 (1).

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Food and agriculture are significant aspects that can meet the food demand estimated by the Food Agriculture Organization (FAO) by 2050. In addition to this, the United Nations sustainable development goals recommended implementing sustainable practices to meet food demand to achieve sustainability. Currently, aquaponics is one of the sustainable practices that require less land and water and has a low environmental impact. Aquaponics is a closed-loop and soil-less method of farming, where it requires intensive monitoring, control, and management. The advancement of wireless sensors and communication protocols empowered to implementation of an Internet of Things- (IoT-) based system for real-time monitoring, control, and management in aquaponics. This study presents a review of the wireless technology implementation and progress in aquaponics. Based on the review, the study discusses the significant water and environmental parameters of aquaponics. Followed by this, the study presents the implementation of remote, IoT, and ML-based monitoring of aquaponics. Finally, the review presents the recommendations such as edge and fog-based vision nodes, machine learning models for prediction, LoRa-based sensor nodes, and gateway-based architecture that are beneficial for the enhancement of wireless aquaponics and also for real-time prediction in the future. metadata Gayam, Kiran Kumari and Jain, Anuj and Gehlot, Anita and Singh, Rajesh and Akram, Shaik Vaseem and Singh, Aman and Anand, Divya and Delgado Noya, Irene and Ahmad, Shafiq mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@unic.co.ao, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) Imperative Role of Automation and Wireless Technologies in Aquaponics Farming. Wireless Communications and Mobile Computing, 2022. pp. 1-13. ISSN 1530-8669

Article Subjects > Social Sciences
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Financial management is a critical aspect of firms, and entails the strategic planning, direction, and control of financial endeavors. Risk assessment, fraud detection, wealth management, online transactions, customized bond scheme, customer retention, virtual assistant and so on, are a few of the critical areas where Industry 4.0 technologies intervention are highly required for managing firms' finance. It has been identified from the previous studies that they are limited studies that have addressed the significance and application of integrating of Industry 4.0 technologies such as Internet of Things (IoT), cloud computing, big data, robotic process automation (RPA), artificial intelligence (AI), Blockchain, Digital twin, and Metaverse. With the motivation from the above aspects, this study aims to discuss the role of these technologies in the area of financial management of a firm. Based up on the analysis, it has been concluded that these technologies assist to credit risk management based on real-time data; financial data analytics of risk assessment, digital finance, digital auditing, fraud detection, and AI- and IoT- based virtual assistants. This study recommended that digital technologies be deeply integrated into the financial sector to improve service quality and accessibility, as well as the creation of innovative rules that allow for healthy competition among market participants. metadata Bisht, Deepa and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Singh, Aman and Caro Montero, Elisabeth and Priyadarshi, Neeraj and Twala, Bhekisipho mail UNSPECIFIED (2022) Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective. Electronics, 11 (19). p. 3252. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés Parkinson’s disease (PD) is a neurodegenerative disease that affects the neural, behavioral, and physiological systems of the brain. This disease is also known as tremor. The common symptoms of this disease are a slowness of movement known as ‘bradykinesia’, loss of automatic movements, speech/writing changes, and difficulty with walking at early stages. To solve these issues and to enhance the diagnostic process of PD, machine learning (ML) algorithms have been implemented for the categorization of subjective disease and healthy controls (HC) with comparable medical appearances. To provide a far-reaching outline of data modalities and artificial intelligence techniques that have been utilized in the analysis and diagnosis of PD, we conducted a literature analysis of research papers published up until 2022. A total of 112 research papers were included in this study, with an examination of their targets, data sources and different types of datasets, ML algorithms, and associated outcomes. The results showed that ML approaches and new biomarkers have a lot of promise for being used in clinical decision-making, resulting in a more systematic and informed diagnosis of PD. In this study, some major challenges were addressed along with a future recommendation metadata Rana, Arti and Dumka, Ankur and Singh, Rajesh and Panda, Manoj Kumar and Priyadarshi, Neeraj and Twala, Bhekisipho mail UNSPECIFIED (2022) Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations. Diagnostics, 12 (8). p. 2003. ISSN 2075-4418

Article Subjects > Social Sciences
Subjects > Engineering Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés Energy is a crucial element for human needs today. Traditional systems of energy generation have represented a problem in terms of their costs, their impact on the environment, and their impact on community life. Therefore, the search for clean and renewable energy sources that meet the needs of contemporary society becomes increasingly essential in the search for alternatives related to energy sources. The photovoltaic energy generation system explores the solar irradiation, making it possible to generate and store energy. This system finds good conditions for implementation in Brazil in terms of climatic characteristics, but investments and public policies that encourage and favor this process are still needed. This study aimed to identify how the deployment of photovoltaic mini-generation power plant in a federal university, the Federal University of Paraná (UFPR), can contribute to the university community in relation to cost reduction and environmental preservation. The methodology used was descriptive-exploratory, qualitative, through which an open questionnaire and a semi-structured interview were carried out, guided by the theme. After analyzing the data, the conclusion was that the system can bring benefits in the long term and that most of the interviewees consider Brazil's great potential in expanding the exploration of other sources of energy, besides hydroelectric, which, besides being costly, brings fewer advantages related to the environmental and social contexts. metadata Miura, Augusto Takashi and Pereira, Vilmar Alves and Florencio da Silva, Rodrigo mail UNSPECIFIED, vilmar.alves@unini.edu.mx, UNSPECIFIED (2022) Implementation of photovoltaic energy, sustainability, economic and social development in a Higher Education Institution in Brazil. Latin American Journal of Development, 4 (4). pp. 1514-1532. ISSN 2674-9297

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés In Smart Cities’ applications, Multi-node cooperative spectrum sensing (CSS) can boost spectrum sensing efficiency in cognitive wireless networks (CWN), although there is a non-linear interaction among number of nodes and sensing efficiency. Cooperative sensing by nodes with low computational cost is not favorable to improving sensing reliability and diminishes spectrum sensing energy efficiency, which poses obstacles to the regular operation of CWN. To enhance the evaluation and interpretation of nodes and resolves the difficulty of sensor selection in cognitive sensor networks for energy-efficient spectrum sensing. We examined reducing energy usage in smart cities while substantially boosting spectrum detecting accuracy. In optimizing energy effectiveness in spectrum sensing while minimizing complexity, we use the energy detection for spectrum sensing and describe the challenge of sensor selection. This article proposed the algorithm for choosing the sensing nodes while reducing the energy utilization and improving the sensing efficiency. All the information regarding nodes is saved in the fusion center (FC) through which blockchain encrypts the information of nodes ensuring that a node’s trust value conforms to its own without any ambiguity, CWN-FC pick high-performance nodes to engage in CSS. The performance evaluation and computation results shows the comparison between various algorithms with the proposed approach which achieves 10% sensing efficiency in finding the solution for identification and triggering possibilities with the value of α=1.5 and γ=2.5 with the varying number of nodes. metadata Rani, Shalli and Babbar, Himanshi and Shah, Syed Hassan Ahmed and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Improvement of energy conservation using blockchain-enabled cognitive wireless networks for smart cities. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Physical Education and Sport
Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español La finalidad de esta investigación, fue indagar por que los docentes de natación, al planificar la enseñanza, eligen una metodología frente a otra; analizándolas causas por las que un alto porcentaje de estos, no aplican las metodologías de enseñanza que estudian durante su etapa de formación como licenciados de educación física. El objetivo fue: analizar cuál es la incidencia de la experiencia, la formación y los lineamientos institucionales en la elección de la metodología aplicada por los docentes de natación. Se optó por una investigación decorte cuali-cuantitativo, vinculando el método cualitativo en la recolección de datos, con el cuantitativo en el análisis de los mismos. Se utilizó un diseño de campo, no experimental de corte transversal, optando por una muestra intensional, que estuvo compuesta por 50 licenciados que trabajan como profesores en dos instituciones deportivas, del ámbito de la enseñanza no formal de Montevideo. Como instrumento, se aplicó la entrevista semiestructurada, a través de un cuestionario, comparando las respuestas obtenidas, con los datos que surgieron en el estudio exploratorio, realizado para esta investigación. Desde una perspectiva interpretativa, se buscó describir y explicar el fenómeno. Se pudo concluir que los docentes que fueron parte de la muestra, priorizan el uso de metodologías de corte reproductivo, frente a las de producción, dejando de lado las metodologías participativas estudiadas en los institutos de formación y recomendadas por sus empleadores. Asimismo, se pudo constatar que las metodologías utilizadas por estos docentes, reproducen los modelos tradicionales, con los cuales ellos aprendieron el deporte. metadata Godoy Sánchez, Ana María and Santos e Campos, María Aparecida mail UNSPECIFIED, maria.santos@unini.edu.mx (2022) Incidencia de la experiencia, en la elección de la metodología de enseñanza en natación. Scientia Generalis, 3 (1). pp. 296-313.

Article Subjects > Social Sciences Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Angola, as with many countries on the African continent, has great inequalities or asymmetries between its provinces. At the economic, financial, and technological level, there is a great disparity between them, where it is observed that the province of Luanda is the largest financial business center to the detriment of others, such as Moxico, Zaire, and Cabinda. In the latter, despite the advantages of high oil production, from a regional point of view, they remain almost stagnant in time, in a social dysfunction where the population lives on extractivism and artisanal fishing. This article analyzes the most important events in contemporary regional history, the Portuguese occupation that was the Portuguese colonial rule over Angola (1890–1930) and the civil war that was a struggle between Angolans for control of the country (1975–2002), in the consolidation of the asymmetries between provinces. For this work, a theoretical-reflective study was conducted based on the reading of books, articles, and previous investigations on the phenomenon studied. Considering the interpretation and analysis of the theoretical content obtained through the bibliographic research conducted, this theoretical construction approaches the qualitative approach. We conclude that the deep inequalities between regions and within them, between the provinces studied, originated historically in the form of exploitation of the regions and from the consequences of the war. The asymmetries, observed through the variables studied show that the provinces historically explored and considered object regions present a lower growth compared to those that were considered subject regions in which the applied geopolitical strategy, as they are centers of primary production flows, was different. We also observe that, due to the conflicts of the civil war in the less developed regions, the inequalities have deepened, contributing seriously to a higher level of poverty and a lower development of the provinces where these conflicts took place. metadata Catoto Capitango, João Adolfo and Garat de Marin, Mirtha Silvana and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Gracia Villar, Mónica and Durántez Prados, Frigdiano Álvaro mail UNSPECIFIED, silvana.marin@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, monica.gracia@uneatlantico.es, durantez@uneatlantico.es (2022) Inequalities and Asymmetries in the Development of Angola’s Provinces: The Impact of Colonialism and Civil War. Social Sciences, 11 (8). p. 334. ISSN 2076-0760

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés In today’s modern world, information and communication technologies are playing an active role in increasing the standards and quality of life for the betterment of human beings. Due to these technologies, people are now learning and experiencing new things very effectively and efficiently. With the implementation of information technology (IT)-based smart technologies in music education, learners can learn and create quality music. There is a need for the employment of information technology in music classrooms. Governments and institutions need to provide adequate resources to achieve its implementation. The traditional methods of learning are not capable of providing enough quality education to students. The present study focuses on the crucial role of information technology in the enhancement of music education. The advancements in modern technologies are expanding music education very rapidly and productively. To help learners with the use of an accurate technological method for learning purposes, various features have been identified from the existing literature. Based on these identified features, different IT-based procedures are ranked by the employment of analytic hierarchy process (AHP) and TOPSIS. The outcomes of the study demonstrated the efficacy of the approachesCorr. metadata Fu, Yi and Zhang, Mengjia and Nawaz, Muhammad and Ali, Muhammad and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Information technology-based revolution in music education using AHP and TOPSIS. Soft Computing. ISSN 1432-7643

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés In December 2019, a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia. The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9, 2020, named Novel Coronavirus 2019 (nCoV-2019). This nCoV-2019 is now known as COVID-19. There is a big list of infections of this coronavirus which is present in the form of a big family. This virus can cause several diseases that usually develop with a serious problem. According to the World Health Organization (WHO), 2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) coronaviruses, so COVID-19 can repeatedly change its internal genome structure to extend its existence. Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus. In this research paper, an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’ complete genome. This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties. This paper identifies five main clusters of mutations with as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. metadata Dumka, Ankur and Verma, Parag and Singh, Rajesh and Bhardwaj, Anuj and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Aparicio Obregón, Silvia mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, silvia.aparicio@uneatlantico.es (2022) Intelligent Approach for Clustering Mutations’ Nature of COVID-19 Genome. Computers, Materials & Continua, 72 (3). pp. 4453-4466. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés The present technological era significantly makes use of Internet-of-Things (IoT) devices for offering and implementing healthcare services. Post COVID-19, the future of the healthcare system is highly reliant upon the inculcation of Artificial-Intelligence (AI) mechanisms in its day-to-day procedures, and this is realized in its implementation using sensor-enabled smart and intelligent IoT devices for providing extensive care to patients relative to the symmetric concept. The offerings of such AI-enabled services include handling the huge amount of data processed and sensed by smart medical sensors without compromising the performance parameters, such as the response time, latency, availability, cost and processing time. This has resulted in a need to balance the load of the smart operational devices to avoid any failure of responsiveness. Thus, in this paper, a fog-based framework is proposed that can balance the load among fog nodes for handling the challenging communication and processing requirements of intelligent real-time applications. metadata Malik, Swati and Gupta, Kamali and Gupta, Deepali and Singh, Aman and Ibrahim, Muhammad and Ortega-Mansilla, Arturo and Goyal, Nitin and Hamam, Habib mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare. Electronics, 11 (4). p. 566. ISSN 2079-9292

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés Mold breakout is one of the significant problems in a continuous casting machine (caster). It represents one of the key areas within the steel production facilities of a steel plant. A breakout event on a caster will always cause safety hazards, high repair costs, loss of production, and shutdown of the caster for a short while. In this paper, a logic-judgment-based mold breakout prediction system has been developed for a continuous casting machine. This system developed new algorithms to detect the different sticker behaviors. With more algorithms running, each algorithm is more specialized in the other behaviors of stickers. This new logic-based breakout prediction system (BOPS) not only detects sticker breakouts but also detects breakouts that takes place due to variations in casting speed, mold level fluctuation, and taper/mold problems. This system also finds the exact location of the breakout in the mold and reduces the number of false alarms. The task of the system is to recognize a sticker and prevent a breakout. Moreover, the breakout prediction system uses an online thermal map of the mold for process visualization and assisting breakout prediction. This is done by alerting the operating staff or automatically reducing the cast speed according to the location of alarmed thermocouples, the type of steel, the tundish temperature, and the size of the cold slab width. By applying the proposed model in an actual steel plant, field application results show that it could timely detect all 13 breakouts with a detection ratio of 100%, and the frequency of false alarms was less than 0.056% times/heat. It has the additional advantage of not needing a lot of learning data, as most neural networks do. Thus, this new logical BOPS system should not only detect the sticker breakouts but also detect breakouts taking place due to variations in casting speed and mold level fluctuation. metadata Ansari, Md Obaidullah and Ghose, Joyjeet and Chattopadhyaya, Somnath and Ghosh, Debasree and Sharma, Shubham and Sharma, Prashant and Kumar, Abhinav and Li, Changhe and Singh, Rajesh and Eldin, Sayed M. mail UNSPECIFIED (2022) An Intelligent Logic-Based Mold Breakout Prediction System Algorithm for the Continuous Casting Process of Steel: A Novel Study. Micromachines, 13 (12). p. 2148. ISSN 2072-666X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés This paper presents the design, development, and testing of an IoT-enabled smart stick for visually impaired people to navigate the outside environment with the ability to detect and warn about obstacles. The proposed design employs ultrasonic sensors for obstacle detection, a water sensor for sensing the puddles and wet surfaces in the user’s path, and a high-definition video camera integrated with object recognition. Furthermore, the user is signaled about various hindrances and objects using voice feedback through earphones after accurately detecting and identifying objects. The proposed smart stick has two modes; one uses ultrasonic sensors for detection and feedback through vibration motors to inform about the direction of the obstacle, and the second mode is the detection and recognition of obstacles and providing voice feedback. The proposed system allows for switching between the two modes depending on the environment and personal preference. Moreover, the latitude/longitude values of the user are captured and uploaded to the IoT platform for effective tracking via global positioning system (GPS)/global system for mobile communication (GSM) modules, which enable the live location of the user/stick to be monitored on the IoT dashboard. A panic button is also provided for emergency assistance by generating a request signal in the form of an SMS containing a Google maps link generated with latitude and longitude coordinates and sent through an IoT-enabled environment. The smart stick has been designed to be lightweight, waterproof, size adjustable, and has long battery life. The overall design ensures energy efficiency, portability, stability, ease of access, and robust features. metadata Farooq, Muhammad Siddique and Shafi, Imran and Khan, Harris and Díez, Isabel De La Torre and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition. Sensors, 22 (22). p. 8914. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés In today’s technological and stressful world, when everyone is busy in their daily routines and places blind faith in pharmaceutical advancements to protect their health, the sudden, horrifying effects of the COVID-19 pandemic have resulted in serious emotional and psychological impacts in the general population. In spite of advanced vaccination campaigns, fear and hesitation have become a part of human life since there are a number of people who do not want to take these immunity boosting vaccinations. Such people may become carriers of infectious viruses, leading to a more rapid rate of spread; therefore, this class of spreaders needs to be screened at the earliest opportunity. In this context, there is a need for advanced health monitoring systems which can assist the pharmaceutical industry to monitor and record the health status of people. To address this need and reduce the uncertainty of the situation, this study has designed and tested an Internet of Things (IoT) and Fog computing-based multi-node architecture was for real-time initial screening and recording of such subjects. The proposed system was able to record current body temperature and location coordinates along with the facial images. Further, the proposed system was able to transmit data to a cloud database using internet-connected services. An implementation and reviews-based working environment analysis was conducted to determine the efficacy of the proposed system. It was observed from the statistical analysis that the proposed IoT Fog-enabled ecosystem could be utilized efficiently. metadata Khullar, Vikas and Singh, Harjit Pal and Miró Vera, Yini Airet and Anand, Divya and Mohamed, Heba G. and Gupta, Deepali and Kumar, Navdeep and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) IoT Fog-Enabled Multi-Node Centralized Ecosystem for Real Time Screening and Monitoring of Health Information. Applied Sciences, 12 (19). p. 9845. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Education 4.0 imitates Industry 4.0 in many aspects such as technology, customs, challenges, and benefits. The remarkable advancement in embryonic technologies, including IoT (Internet of Things), Fog Computing, Cloud Computing, and Augmented and Virtual Reality (AR/VR), polishes every dimension of Industry 4.0. The constructive impacts of Industry 4.0 are also replicated in Education 4.0. Real-time assessment, irregularity detection, and alert generation are some of the leading necessities of Education 4.0. Conspicuously, this study proposes a reliable assessment, irregularity detection, and alert generation framework for Education 4.0. The proposed framework correspondingly addresses the comparable issues of Industry 4.0. The proposed study (1) recommends the use of IoT, Fog, and Cloud Computing, i.e., IFC technological integration for the implementation of Education 4.0. Subsequently, (2) the Symbolic Aggregation Approximation (SAX), Kalman Filter, and Learning Bayesian Network (LBN) are deployed for data pre-processing and classification. Further, (3) the assessment, irregularity detection, and alert generation are accomplished over SoTL (the set of threshold limits) and the Multi-Layered Bi-Directional Long Short-Term Memory (M-Bi-LSTM)-based predictive model. To substantiate the proposed framework, experimental simulations are implemented. The experimental outcomes substantiate the better performance of the proposed framework, in contrast to the other contemporary technologies deployed for the enactment of Education 4.0 metadata Verma, Anil and Anand, Divya and Singh, Aman and Vij, Rishika and Alharbi, Abdullah and Alshammari, Majid and Ortega-Mansilla, Arturo mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es (2022) IoT-Inspired Reliable Irregularity-Detection Framework for Education 4.0 and Industry 4.0. Electronics, 11 (9). p. 1436. ISSN 2079-9292

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Cerrado Inglés Yersiniosis, caused by the fish pathogen Yersinia ruckeri, is a serious bacterial septicaemia affecting mainly salmonids worldwide. The acute infection may result in high mortality without apparent external disease signs, while the chronic one causes moderate to considerable mortality. Survivors of yersiniosis outbreaks become carriers. Y. ruckeri is able to adhere to, and to invade, phagocytic and non-phagocytic fish cells by using unknown molecular mechanisms. The aim of this study was to describe the kinetics of cell invasion by Y. ruckeri serotype O1 biotype 1 in a fish cell line (RTG-2) originating from rainbow trout gonads. The efficiency of invasion by Y. ruckeri was found to be temperature dependent, having a maximum at 20 °C. The bacterium was able to survive up to 96 h postinfection. The incubation of the cells at 4 °C and the pre-incubation of the bacteria with sugars or heat-inactivated antiserum significantly decreased the efficiency of invasion or even completely prevented the invasion of RTG-2 cells. These findings indicate that Y. ruckeri is capable of adhering to, entering and surviving within non-phagocytic cells, and that the intracellular environment may constitute a suitable niche for this pathogen that can favour the spread of infection and/or the maintenance of a carrier state of fish. metadata Padilla, Daniel and Acosta Hernández, Begoña and Ramos Vivas, Jose and Déniz, Soraya and Rosario, Inmaculada and Martín Barrasa, José Luís and Henao, Andrés sánchez and Silva Sergent, Freddy and Ramos Sosa, María josé and García Álvarez, Natalia and Real, Fernando mail UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Kinetics of the invasion of a non-phagocytic fish cell line, RTG-2 by Yersinia ruckeri serotype O1 biotype 1. Acta Veterinaria Hungarica. ISSN 0236-6290

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español La crisis económica provocada por la pandemia del COVID-19 y el actual anuncio de la Reserva Federal de una posible recesión frente a la inflación que se ha presentado en el último trimestre hace necesaria la discusión de la naturaleza de las crisis en términos de los ciclos de corto y largo plazo en la economía, sus características y principales consecuencias. La caracterización de la crisis de 2007 como una crisis de rentabilidad y como el fin de un ciclo de crecimiento económico de largo plazo, así como las particularidades socio-económicas que presenta abre paso a la posibilidad de formular políticas más eficientes y efectivas para enfrentar las crisis coyunturales ante las dificultades que presenta el agotamiento de un modelo de acumulación ligado a la globalización neoliberal. Por esta razón, el objetivo de esta investigación es encontrar las principales características de la crisis antes citada por medio de un estudio socio-histórico de corte descriptivo para el caso de Estados Unidos como principal centro económico mundial, y así, caracterizar el último ciclo de largo plazo del capitalismo. El planteamiento pretende ser integral por lo que se analiza el fenómeno desde las principales escuelas económicas, la neoclásica, neokeynesiana, keynesiana y marxista. El documento concluye con una serie de propuestas de política económica entorno a las características de la crisis y del modelo de acumulación del ciclo de crecimiento de largo plazo que comenzó a partir del establecimiento de las políticas neoliberales en detrimento de las políticas de corte keynesiano de la posguerra. metadata García Ramírez, Roberto Fernando and Rojo Gutiérrez, Marco Antonio mail roberto.ramirez@unini.edu.mx, marco.rojo@unini.edu.mx (2022) La crisis de 2007 en Estados Unidos ¿Desequilibrio entre oferta y demanda o crisis de rentabilidad? MLS Law and International Politics, 1 (2).

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español En el presente estudio se investigan la evolución de la generación de energía eléctrica del sector público y del sector privado por el cambio en la legislación eléctrica en 1996, por medio de la Ley General de Electricidad, para el efecto se utilizó el método analítico sintético, el estudio se realiza desde el enfoque cualitativo, con metodología mixta, la información se obtiene de fuentes secundarias, que corresponden a publicaciones de entidades del sector eléctrico efectuadas por la red internacional, o por información proporcionada, para los años en estudio y las variables definidas, el análisis de los artículos de la ley que regula la generación de energía eléctrica y la selección de los expertos entrevistados para la pregunta planteada, se realizó de acuerdo al criterio del investigador; con la información conseguida, se encontró el incremento de la generación de energía eléctrica del sector privado, debido a la apertura a la inversión de capitales privados en los proyectos eléctricos y a la posibilidad de entrar al mercado, el cambio en la legislación causa el incremento de los participantes en el subsector privado, registrados como agentes de mercado, entre los cuales se encuentran los agentes generadores, la generación de energía eléctrica disponible en el año 2017 es adecuada para lograr la satisfacción del servicio de energía eléctrica a los usuarios, en horas pico metadata Pérez Barrios, Edgar Estuardo and Silva Alvarado, Eduardo René mail estuardo.perez@unini.org, eduardo.silva@funiber.org (2022) La generación de energía eléctrica de 1996 al 2017 en Guatemala. MLS Law and International Politics, 1 (2).

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Las empresas familiares ecuatorianas, contribuyen al desarrollo del país y son generadores de empleos. A pesar de la importancia que tienen no se ha establecido de manera integral normativa jurídica al respecto y han tenido que adaptarse a su entorno. En el presente estudio se articula la normativa dispersa que tiene la legislación sobre la sucesión para poder entender la mortalidad temprana de este tipo de sociedades que no pueden alcanzar la trasmisión generacional, por no contar con una planificación sucesoria perfectamente determinada que permite a los antecesores trasmitir su legado empresarial a sus sucesores de manera organizada, definida y jurídicamente adecuada a los requerimientos y especiaciones de las empresas familiares que deben afrontar en cualquier instante. En la introducción, se recogen estudios relacionados al tema desde otros enfoques, mientras que esta investigación es desde la perspectiva del derecho, para lo cual se expresan aspectos jurídicos y conceptuales de carecer de un plan sucesorio que permita mantenerse en el tiempo por generaciones. La metodología utilizada es con enfoque cualitativo del tipo no experimental, empleando los instrumentos documentales, bibliográficos, Constitucionales y legales a través del método socio-jurídico. Obteniendo como resultado que la falta de planificación sucesoria es una de las razones de mortalidad de este tipo de empresas. En relación a la discusión y conclusión se necesita políticas públicas, donde el Estado establezca mecanismos para que estas empresas no desaparezcan en los cambios generacionales. Y que para su crecimiento y desarrollo no solo se requiere de una estructura organizacional, debe reaccionar frente al relevo generacional como un cambio que se puede producir en cualquier momento por lo que se requiere tener un plan sucesorio que lo sustente. metadata Duarte Estévez, Cecilia Elizabeth mail UNSPECIFIED (2022) La mortalidad de las empresas familiares ecuatorianas por falta de planificación sucesoria. MLS Law and International Politics, 1 (2).

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español La calidad de un trabajo académico está asociado al rigor científico empleado en su elaboración, especialmente en lo relativo a la redacción de las citas y referencias. El artículo que presentamos tiene como objetivo general analizar el nivel de aplicación de las normas de la Asociación de Psicólogos Americanos (APA) en la elaboración de las citas y referencias en los Proyectos de Grado de los estudiantes de la carrera de educación de la Universidad Tecnológica de Santiago (UTESA), recinto Gaspar Hernández. La población bajo estudio está representada por 334 estudiantes, 34 docentes y los 83 Proyectos de Grado que representan los documentos académicos elaborados por los alumnos, desde el cuatrimestre 3/2016/ hasta el 3/2019. Estos incluyen 7,298 citas y 6,038 referencias. La metodología se sustenta en un enfoque mixto, al incluir elementos cuantitativos y técnicas cualitativas. En la recopilación de los datos se utilizaron dos cuestionarios elaborados ad hoc, con la escala tipo Likert y una Matriz de Análisis de Datos. En el análisis de los datos se empleó la estadística descriptiva. Los resultados del estudio identificaron errores en las citas elaboradas, tales como, el uso incorrecto de los signos de puntuación, ordenamiento erróneo de los elementos, omisión o cambio en los datos, ausencia del año de publicación de la fuente. En las referencias, se observa combinación de formatos, invertir el orden de los componentes, y otros más graves, como URL incompletos u omisión de información de la fuente. metadata Bernardo Jiménez, Aranzazu and Liriano Pérez, Daniel José mail UNSPECIFIED (2022) La redacción de las citas y referencias en los Proyectos de Grado: caso República Dominicana. MLS Educational Research, 6 (2). ISSN 2603-5820

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español La regulación asociativa en el Ecuador, para la consecución de proyectos emblemáticos de desarrollo en infraestructura requiere de lineamientos claros; sin embargo en nuestra legislación; se encuentra disperso, existiendo la necesidad de ejemplificar a través de lineamientos el procedimiento de alianzas Público Privadas (APP), en este sentido el propósito de este artículo es presentar la necesidad que existe en el Ecuador de diseñar lineamientos generales que regulen la participación del eje y/o sector privado mediante la promoción de planes; programas y proyectos, con la finalidad de asociarse con actores privados para construir y administrar la infraestructura y la prestación de servicios en el marco de Acuerdos Asociativos; Alianzas Público Privadas; a través de instrumentos denominados “contratos de gestión delegada” e “inversión privada”. Para esto metodológicamente se realiza un análisis de los aspectos legales que se sustentan principalmente, en la Constitución de la República del Ecuador; la Ley Orgánica de Incentivos para Asociaciones Público-Privadas y la Inversión Extranjera; Ley Orgánica de Empresas Pública; Ley de Compañías; Codificación del Código Civil; Ley Orgánica para el fomento productivo, atracción de inversiones, generación de empleo y estabilidad equilibrio fiscal. Para el análisis se aplica el método enfoque deductivo a partir de las normas más generales a las específicas, para luego mediante la confrontación de lo expuesto en las normativas se crea una crítica donde se señalan los bienes públicos y modalidades de asocio de las empresas públicas. La conclusión conlleva a afirmar que en el Ecuador no existen lineamientos claros y precisos que orienten los procesos de las Alianzas públicos privadas por lo que presente artículo contempla una investigación de diseño documental. metadata Rivadeneira, Diana and García Lara, Roberto mail UNSPECIFIED (2022) La regulación asociativa en el Ecuador. Revista Lex, 5 (15). pp. 63-80. ISSN 2631-2735

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Inglés, Español En esta investigación se identifica el desempeño y la gestión de la innovación en las empresas industriales micro, pequeñas y medianas (mipymes) de Córdoba, Argentina durante el periodo 2015-2020. La información se toma a partir de un cuestionario aplicado a 90 empresas de la región. Se crean dos índices, uno que refleja las actividades de gestión de la innovación y otro que refleja el desempeño innovador. Un relevante número de empresas asume resultados positivos en su desempeño innovador, siendo la innovación en productos y la innovación en procesos las más significativas, seguidas por la innovación organizativa y la innovación comercial. Entre las actividades de gestión de la innovación más importantes y que muestran un impacto positivo en el desempeño innovador, se destacan el fomento a la creatividad; la priorización de la innovación en la estrategia empresarial; el diseño de una estrategia de marketing y las actividades relacionadas con la internacionalización. Un análisis que subyace de lo anterior, se basa en considerar los múltiples factores que afectan a los índices tanto de desempeño como de gestión de la innovación y que forman parte de un proceso mucho más complejo y fuertemente condicionado por el contexto externo e intrínseco a las firmas. metadata Rojo Gutiérrez, Marco Antonio and Beladelli, Luciana María mail marco.rojo@unini.edu.mx, UNSPECIFIED (2022) Las Actividades de gestión de la innovación como determinantes explicativas del desempeño innovador de las mipymes industriales en Córdoba, Argentina. Estudio de caso 2015-2020. Project Design and Management, 4 (2).

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español Este artículo recoge los datos de la investigación hecha en la ciudad de Soacha, Colombia, sobre las competencias que adquirieron los docentes en su formación de pregrado y que laboran en el nivel de educación básica. Pretende indicar en un análisis de tipo mixto, las fortalezas y oportunidades, así como las debilidades y amenazas, en referencia a: las competencias adquiridas, en un grupo muestra de 50 docentes a través de instrumentos como la encuesta y la entrevista, competencias que son necesarias en el perfil profesional que propone las políticas educativas nacionales. Los datos, nos dejará ver, un diagnóstico sobre el porcentaje de competitividad frente a los requerimientos del estado colombiano, el cual pretende para el año 2025 alcanzar una excelencia educativa, como mejor país en los procesos de educación en Latinoamérica. El estudio nos muestra el perfil real del docente, en el nivel educativo de pregrado y sus fortalezas y falencias a la hora de las prácticas como profesional, así como el acercamiento a los perfiles que solicita el estado. De igual modo, dará pautas para que las instituciones que apliquen la metodología, puedan desde la implementación y el análisis de la propuesta, proyectar planes de mejora en la formación del recurso humano que participa en el desarrollo del Proyecto Educativo Institucional con el cual se pretende alcanzar mayor calidad educativa, como también el proponer articulaciones formativas y de mejora, con las universidades de las cuales han egresado los docentes y que incursionan en el ambiente educativo de la ciudad de Soacha. metadata Acuña Gamboa, Luis Alan and Suárez Ramírez, Marco Aurelio mail UNSPECIFIED, marco.suarez@doctorado.unini.edu.mx (2022) Las competencias docentes en su formación de pregrado: un estudio del perfil profesional para la acción pedagógica en educación básica en la ciudad de Soacha-Colombia. MLS Educational Research, 6 (1). ISSN 2603-5820

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español El artículo se basa en un estudio realizado en el Instituto Adventista Florida, un centro educativo privado confesional con 340 matriculados en educación media. Cuenta con tres niveles educativos, está ubicado en Vicente López, provincia de Buenos Aires, República Argentina. La finalidad fue hacer un análisis del uso de las Tecnologías de la Información y la Comunicación, y cómo favorecen a las Inteligencias Múltiples al estudiar Historia, un caso de secundaria. La investigación de diseño mixto, se llevo a cabo con una variable de estudio y una categoría de análisis en el contexto que incluye 74 estudiantes de la modalidad en Ciencias Sociales, de Educación Secundaria Superior quienes utilizaron recursos tecnológicos durante año escolar. La recolección de datos se realizó a 22 educadores, 14 profesores y 8 directivos, mediante una encuesta y una entrevista estas, fueron informatizadas en los softwares Excel y CmapTools. Considerando que las TIC son un conjunto de herramientas potentes e innovadoras, se establece su uso tecnológico para determinar el desarrollo de las inteligencias, y a la vez identificar como los alumnos se apropian del conocimiento. Las tecnologías acompañan el proceso de enseñanza y aprendizaje, también son útiles para aquellos que aprenden en forma tradicional, porque permiten romper estructuras y ampliar estrategias de estudios. Finalizado el análisis de los resultados, se manifiesta la importancia de implementar la WebQuest integrada al Aprendizaje Basado en Proyecto, para mejorar el aprendizaje en Historia con el uso de Tecnologías de la Información y la Comunicación, y favoreciendo las Inteligencias Múltiples. metadata Ferreyra, Silvia mail ferreyra.ser@gmail.com (2022) Las tic para fortalecer las inteligencias múltiples y aprender historia en secundaria. MLS Educational Research, 6 (1). pp. 90-108.

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Remarkable progress in the Internet of Things (IoT) and the requirements in the Industrial era have raised new constraints of industrial data where huge data are gathered by heterogeneous devices. Recently, Industry 4.0 has attracted attention in various fields of industries such as medicines, automobiles, logistics, etc. However, every field is suffering from some threats and vulnerabilities. In this paper, a new model is proposed for detecting different types of attacks and it is analyzed with a deep learning technique, i.e., classifier-Convolution Neural Network and Long Short-Term Memory. The UNSW NB 15 dataset is used for the classification of various attacks in the field of Industry 4.0 for providing security and protection to the different types of sensors used for heterogeneous data. The proposed model achieves the results using Cortex processors, a 1.2 GHz processor, and four gigabytes of RAM. The attack detection model is written in Python 3.8.8 and Keras. Keras constructs the model using layers of Convolutional, Max Pooling, and Dense Layers. The model is trained using 250 batch size, 60 epochs, 10 classes. For this model, the activation functions are Relu and softmax pooling. metadata Anand, Ankita and Rani, Shalli and Singh, Aman and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Lightweight Hybrid Deep Learning Architecture and Model for Security in IIOT. Applied Sciences, 12 (13). p. 6442. ISSN 2076-3417

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español El uso de las tecnologías en el sector educativo es vital en estos tiempos. La investigación analiza un estudio cuantitativo-cualitativo que demuestra los avances y la importancia de las nuevas tecnologías. El mismo tiene como objetivo comprender los desafíos de la educación en el siglo XXI en la ciudad de Bailundo, así como el uso de las nuevas tecnologías de la información y la comunicación en la educación (NTIC), analizando la trayectoria histórica de la educación en los aspectos de aprendizaje y didáctica. La posibilidad de incluir tecnologías en el aula permitió avances y cambios en las exigencias actuales del perfil de docentes, directivos y estudiantes en el siglo XXI, siendo una realidad aún hoy poco explorada en Angola, por varias razones que serán detalladas a lo largo el artículo. La inclusión de las NTIC en la educación constituye un nuevo desafío, y no solo impactó en las demandas y necesidades sociales y educativas, sino que también generó nuevas oportunidades para los docentes, mejorando y modernizando su práctica pedagógica y la escuela. Estas nuevas prácticas pueden contribuir ofreciendo a los estudiantes oportunidades de acceso a las NTIC, evitando así que se generen más desigualdades sociales. Las tecnologías llegaron para quedarse, y no es una herramienta didáctica, sino un nuevo concepto que incluye recursos, espacios de aprendizaje y herramientas interactivas para el desarrollo del proceso de enseñanza y aprendizaje para este siglo XXI. metadata Graça da Costa, Mario and Santos e Campos, María Aparecida mail mario.graca@doctorado.unini.edu.mx, maria.santos@unini.edu.mx (2022) Los desafíos de la educación en el siglo XXI en el municipio de Bailundo Angola: una mirada a las demandas actuales utilizando las NTIC`S. MLS Educational Research (MLSER), 6 (2). ISSN 2603-5820

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Este artículo estuvo orientado en una revisión sistemática sobre la inversión extranjera directa de los convenios de la Doble Tributación Internacional en Colombia. Puesto que los convenios tributarios permiten un equilibrio económico y fiscal, lo que se refleja en el aumento de la inversión directa extranjera. Se utilizó el muestreo simple de la inversión impositiva desde el período 2007 al 2009, conforme a la ejecución en materia tributaria. Con esto se determinó la importancia de los tratados de doble imposición tributaria para la economía de los países, los resultados de la investigación exponen que a mayor número de convenios suscritos de doble tributación internacional éste favorece positivamente la economía del país, generando mayor inversión directa extranjera. metadata Castellanos Polo, Orlando Carmelo and Pérez Barrios, Edgar Estuardo mail orlando.castellanos@doctorado.unini.edu.mx, estuardo.perez@unini.org (2022) Los tratados de doble imposición tributaria y su efecto en la inversión extranjera directa en Colombia. Revista Enfoques, 6 (21). pp. 50-62. ISSN 2616-8219

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés The economic valuation of coastal ecosystem services is a critical step for the design of sound public policies that support the preservation of the services that nature provides to society in the context of climate change. Using the value transfer method, we obtained the economic valuation that represents the loss of coastal ecosystem services caused by sea level rise in Mexico. Using the Bathtub method, digital elevation models and sea level data, we identified the areas in the country prone to flooding and the associated ecosystem impacts. In Mexico, the annual economic loss caused by the disappearance of coastal ecosystem services is estimated at $6,476,402,405 USD, where wetlands represent the greatest economic losses, since they represent the largest affected ecosystem by area. However, beaches and dunes are the most valued ecosystem due to the economic activities that occur in these areas. In the mangroves, the service as habitat, refuge and nursery is the most valued for its positive relationship with fisheries. The states with the most economic losses are Baja California Sur, Sinaloa and Campeche. The protection of the coastal zone in Mexico should be a priority in the development strategies in the country because its loss and/or rehabilitation imply high economic costs and compromises the wellbeing of society. metadata Fernández-Díaz, Violeta Z. and Canul Turriza, Román A. and Kuc Castilla, Ángel Gabriel and Hinojosa-Huerta, Osvel mail UNSPECIFIED (2022) Loss of coastal ecosystem services in Mexico: An approach to economic valuation in the face of sea level rise. Frontiers in Marine Science, 9. ISSN 2296-7745

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español Los actuales proyectos de construcción complejos y con altos niveles de cambios, requieren metodologías innovadoras enfocadas a orientar y mejorar las habilidades de los profesionales que los dirigen. Por esto, esta investigación tiene como metas incorporar los beneficios de aplicar técnicas ágiles en la metodología tradicional para la dirección de proyectos de construcción en Panamá y estandarizar su aplicación para optimizar sus resultados finales. Se utilizaron los métodos inductivo, cuantitativo y cualitativo. Mediante el análisis de contenido se analizaron normas, revistas y estándares de dirección de proyectos, información fiable para crear nuevo conocimiento. Para recolectar y vincular datos cualitativamente se utilizó el cuestionario aplicado a los profesionales de la dirección de proyectos y la construcción de Panamá desde el 2020 al 2021, su análisis cuantitativo se realizó mediante el programa estadístico SPSS. La Técnica Delphi validó la Metodología Híbrida, con expertos escogidos por sus competencias y experiencia. El 79% de los directores de proyectos aplican una metodología de dirección de proyectos, siendo las tradicionales las más usadas. Estos coinciden en que el factor tiempo es el objetivo de cumplimiento más problemático y que los factores externos afectan los resultados del proyecto (equipo, liderazgo, plataformas, herramientas y tecnologías, comunicación, objetivos claros). Se validó que en el sector económico de la construcción es apropiado aplicar la metodología híbrida de dirección con un resultado de 3.903, siendo 4 “muy apropiado”. Esta investigación evidenció que las metodologías de dirección de proyectos tradicional-ágil son complementarias, que al estandarizar los procesos tradicionales con métodos ágiles basados en las características propias de cada proyecto, se mejoran los resultados, cumpliendo con los objetivos del proyecto y los involucrados metadata Cano, Yaiseth Frangakis mail UNSPECIFIED (2022) Metodología híbrida de dirección de proyectos aplicada a la industria de la construcción. I+ D Tecnológico, 18 (2). pp. 136-153.

Article Subjects > Social Sciences Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Español La investigación se basó en el Modelo de madurez para la gestión de proyectos del sector público de la Alcaldía de Chinácota-Colombia. Su objetivo fue identificar las prácticas aplicadas por la organización en la madurez de sus procesos; aplicando el Modelo de madurez, se evaluó las capacidades y desempeño de los integrantes del área de gestión de proyectos. Para el desarrollo del trabajo se aplicó la investigación proyectiva, un diseño de campo No Experimental y Transversal, se empleó un enfoque mixto, la observación, el análisis FODA, la encuesta y la revisión bibliográfica; para el procesamiento de la información se empleó el SPSS y se aplicó la estadística descriptiva e inferencial para el análisis y tratamiento de los resultados. El enfoque teórico permitió fundamentar el Modelo de Madurez OPM3 para la Gestión de Proyectos en la organización; además, se analizó el marco legal y normas del Banco de proyectos de la inversión pública en Colombia. En conclusión, el grado de madurez resultante fue del 24,99% (bajo) relacionado al conocimiento, los factores internos-externos muestran problemas de conocimientos imprecisos dentro del área de proyectos, existe alta rotación de sus funcionarios, no se cuenta con suficientes recursos para su gestión; la práctica de proyectos evidencia indefinición y desactualización de la madurez en su gestión. También, se detectó que todas las prácticas asociadas a la gestión de riesgo y adquisiciones tienen exceso de burocracia, en los procesos de estandarización tienen alto grado de cumplimiento en la gestión del alcance, tiempo, integración y riesgo. metadata Bazurto Roldán, José Antonio and Piña Ararat, Mario Andrés mail jose.bazurto@unini.org, UNSPECIFIED (2022) Modelo de madurez aplicado al contexto organizacional de la gestión de proyectos para la Alcaldía de Chinácota-Colombia. Project Design and Management, 4 (2).

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés, Español En este trabajo fueron identificados los instrumentos dentro de los procesos utilizados para la planeación de la ejecución de proyectos de las organizaciones sin fines de lucro, ENL: el Alcance, Tiempo y Costos, así como su impacto en el desempeño de los proyectos y su mejora a través del modelo propuesto, que rescata las mejores prácticas del mundo de las mismas entidades, al mismo tiempo fueron identificadas cuales fueron las prácticas del mundo empresarial que pueden ser adaptadas en mayor o menor grado. Para la gestión de la implementación se encontraron 18 instrumentos en su mayoría propuestos y rescatados del mundo empresarial entre ellos; 10 de ellos fueron adaptados para las ENL sin problemas en un 100%; 4 de ellos para el 36% de las ENL; mientras que de los instrumentos propios del mundo empresarial sólo un 28% pudieron ser adaptados para la ENL. En general, se pudo identificar a partir de los resultados que la ENLs no cuentan con una estructura funcional que facilite la formulación y ejecución de proyectos, ya que las decisiones se toman en altos niveles empresariales, lo que a veces unido a la falta de experiencia dificulta la aplicación del uso de las herramientas, y retrasa la consecución y captación de recursos a través de los proyectos. Finalmente, el modelo representa una propuesta inicial que puede ser analizada, modificada y está sujeto a la mejora continua. metadata Prieto Mérida, Marco Antonio and Yam Cervantes, Marcial Alfredo mail UNSPECIFIED, marcial.yam@unini.edu.mx (2022) Modelo estandarizado para la planificación en la ejecución de proyectos que permita mejorar el desempeño de las entidades no lucrativas. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Engineering Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español La cuenca del Río Grande de Loíza de Puerto Rico es la más grande de la isla, compuesta por 15 subcuencas. Estos ríos están contaminados con patógenos relacionados a las Comunidades Sin Alcantarillado Sanitario denominadas ComSAS, que utilizan pozos sépticos defectuosos o descargas directas a los cuerpos de agua. La Agencia Federal de Protección Ambiental la describe como la de mayor prioridad de atención. La investigación plantea el objetivo de elaborar un modelo geoespacial para incorporarse al proceso de cumplimiento de la ley de agua limpia. Incluye el diseño de una metodología ad hoc, que selecciona los factores ambientales y establece los parámetros para priorizar las áreas por nivel y tipo de riesgo. El análisis multicriterio incorporó las capas de información geográficas que incluyen estructuras/km2, la cercanía a los ríos, la clasificación de uso de terrenos, y la presencia de suelos hídricos con grupos hidrológicos tipo D. El resultado generó la capa de información geográfica que identifica el 27 % del área de estudio como alto y muy alto riesgo. Las agencias estatales y federales pueden podrán incorporar esta herramienta de innovación en el proceso de toma de decisiones para evaluar de forma rápida las comunidades de alto riesgo metadata Fernández Valencia, María de Lourdes and Rivera Rivas, María del Carmen mail UNSPECIFIED, maricarmen.rivera@unib.org (2022) Modelo geoespacial para priorizar los factores de riesgo ambiental de las comunidades sin alcantarillado sanitario en la cuenca del Río Grande de Loíza en Puerto Rico. Revista Umbral, 1 (18). pp. 183-209. ISSN 2 1 5 1 - 8 3 8 6

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Electroporation is a next generation bioelectronics device. The emerging application of electroporation requires high voltage pulses having a pulse-width in the nanosecond range. The essential use of a capacitor results in an increase in the size of the electroporator circuit. This paper discusses the modification of a conventional Marx generator circuit to achieve the high voltage electroporation pulses with a minimal chip size of the circuit. The reduced capacitors are attributed to a reduction in the number of stages used to achieve the required voltage boost. The paper proposes the improved isolation between two capacitors with the usage of optocouplers. Parametric analysis is presented to define the tuneable range of the electroporator circuit. The output voltage of 49.4 V is achieved using the proposed 5-stage MOSFET circuit with an input voltage of 12 V. metadata Ganesan, Selvakumar and Ghosh, Debarshi and Taneja, Ashu and Saluja, Nitin and Rani, Shalli and Singh, Aman and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) A Modified Marx Generator Circuit with Enhanced Tradeoff between Voltage and Pulse Width for Electroporation Applications. Electronics, 11 (13). p. 2013. ISSN 2079-9292

Article Subjects > Biomedicine Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Hafnia alvei is receiving increasing attention from both a medical and veterinary point of view, but the diversity of molecules it produces has made the interest in this bacterium extend to the field of probiotics, the microbiota, and above all, to its presence and action on consumer foods. The production of Acyl Homoserine Lactones (AHLs), a type of quorum-sensing (QS) signaling molecule, is the most often-studied chemical signaling molecule in Gram-negative bacteria. H. alvei can use this communication mechanism to promote the expression of certain enzymatic activities in fermented foods, where this bacterium is frequently present. H. alvei also produces a series of molecules involved in the modification of the organoleptic properties of different products, especially cheeses, where it shares space with other microorganisms. Although some strains of this species are implicated in infections in humans, many produce antibacterial compounds, such as bacteriocins, that inhibit the growth of true pathogens, so the characterization of these molecules could be very interesting from the point of view of clinical medicine and the food industry. Lastly, in some cases, H. alvei is responsible for the production of biogenic amines or other compounds of special interest in food health. In this article, we will review the most interesting molecules that produce the H. alvei strains and will discuss some of their properties, both from the point of view of their biological activity on other microorganisms and the properties of different food matrices in which this bacterium usually thrives. metadata Ramos Vivas, Jose and Tapia Martínez, Olga and Elexpuru Zabaleta, Maria and Tutusaus, Kilian and Armas Diaz, Yasmany and Battino, Maurizio and Giampieri, Francesca mail jose.ramos@uneatlantico.es, olga.tapia@uneatlantico.es, maria.elexpuru@uneatlantico.es, kilian.tutusaus@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2022) The Molecular Weaponry Produced by the Bacterium Hafnia alvei in Foods. Molecules, 27 (17). p. 5585. ISSN 1420-3049

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés The world population is on the rise, which demands higher food production. The reduction in the amount of land under cultivation due to urbanization makes this more challenging. The solution to this problem lies in the artificial cultivation of crops. IoT and sensors play an important role in optimizing the artificial cultivation of crops. The selection of sensors is important in order to ensure a better quality and yield in an automated artificial environment. There are many challenges involved in selecting sensors due to the highly competitive market. This paper provides a novel approach to sensor selection for saffron cultivation in an IoT-based environment. The crop used in this study is saffron due to the reason that much less research has been conducted on its hydroponic cultivation using sensors and its huge economic impact. A detailed hardware-based framework, the growth cycle of the crop, along with all the sensors, and the block layout used for saffron cultivation in a hydroponic medium are provided. The important parameters for a hydroponic medium, such as the concentration of nutrients and flow rate required, are discussed in detail. This paper is the first of its kind to explain the sensor configurations, performance metrics, and sensor-based saffron cultivation model. The paper discusses different metrics related to the selection, use and role of sensors in different IoT-based saffron cultivation practices. A smart hydroponic setup for saffron cultivation is proposed. The results of the model are evaluated using the AquaCrop simulator. The simulator is used to evaluate the value of performance metrics such as the yield, harvest index, water productivity, and biomass. The values obtained provide better results as compared to natural cultivation. metadata Kour, Kanwalpreet and Gupta, Deepali and Gupta, Kamali and Anand, Divya and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Ibrahim, Muhammad and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, cristina.mazas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation. Sensors, 22 (22). p. 8905. ISSN 1424-8220

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés In Wireless Sensor Networks (WSNs), routing algorithms can provide energy efficiency. However, due to unbalanced energy consumption for all nodes, the network lifetime is still prone to degradation. Hence, energy efficient routing was developed in this article by selecting cluster heads (CH) with the help of adaptive whale optimization (AWOA) which was used to reduce time-consumption delays. The multi-objective function was developed for CH selection. The clusters were then created using the distance function. After establishing groupings, the supercluster head (SCH) was selected using the benefit of a fuzzy inference system (FIS) which was used to collect data for all CHs and send them to the base station (BS). Finally, for the data-transfer procedure, hop count routing was used. An Oppositional-based Whale optimization algorithm (OWOA) was developed for multi-constrained QoS routing with the help of AWOA. The performance of the proposed OWOA methodology was analyzed according to the following metrics: delay, delivery ratio, energy, NLT, and throughput and compared with conventional techniques such as particle swarm optimization, genetic algorithm, and Whale optimization algorithm metadata Bali, Himani and Gill, Amandeep and Choudhary, Abhilasha and Anand, Divya and Alharithi, Fahd S. and Aldossary, Sultan M. and Vidal Mazón, Juan Luis mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es (2022) Multi-Objective Energy Efficient Adaptive Whale Optimization Based Routing for Wireless Sensor Network. Energies, 15 (14). p. 5237. ISSN 1996-1073

Article Subjects > Biomedicine
Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Mobility and low energy consumption are considered the main requirements for wireless body area sensor networks (WBASN) used in healthcare monitoring systems (HMS). In HMS, battery-powered sensor nodes with limited energy are used to obtain vital statistics about the body. Hence, energy-efficient schemes are desired to maintain long-term and steady connectivity of the sensor nodes. A sheer amount of energy is consumed in activities such as idle listening, excessive transmission and reception of control messages, packet collisions and retransmission of packets, and poor path selection, that may lead to more energy consumption. A combination of adaptive scheduling with an energy-efficient protocol can help select an appropriate path at a suitable time to minimize the control overhead, energy consumption, packet collision, and excessive idle listening. This paper proposes a region-based energy-efficient multipath routing (REMR) approach that divides the entire sensor network into clusters with preferably multiple candidates to represent each cluster. The cluster representatives (CRs) route packets through various clusters. For routing, the energy requirement of each route is considered, and the path with minimum energy requirements is selected. Similarly, end-to-end delay, higher throughput, and packet-delivery ratio are considered for packet routing. metadata Akbar, Shuja and Mehdi, Muhammad Mohsin and Jamal, M. Hasan and Raza, Imran and Hussain, Syed Asad and Breñosa, Jose and Martínez Espinosa, Julio César and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring. Healthcare, 10 (11). p. 2297. ISSN 2227-9032

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Español El presente artículo corresponde a un estudio realizado en el marco de la tesis doctoral denominada: "Diseño y aplicación de un modelo de Educación Inicial segundo ciclo, centrado en Desarrollo Infantil", se presentan evidencias sobre cómo la interacción educativa entre el profesorado y la niñez más allá del tradicional enfoque cognitivo, puede ampliar sus impactos en las diferentes dimensiones del desarrollo infantil, cuando se vincula a un modelo diseñado de manera intencionada y que apuesta a transformar las competencias docentes en función de lograrlo, en coherencia con la naturaleza del proceso educativo y la vital importancia de los primeros seis años de vida para la construcción de sinapsis en el cerebro del ser humano. En este sentido se ha considerado que cuando el profesorado incorpora saber, saber hacer y actitudinal, en relación a dimensiones del desarrollo infantil (DI), a partir de aplicación de instrumentos curriculares y modificación de la interacción con la niñez y sus tutores, puede transformar el proceso y alcanzar mejores resultados para el desarrollo infantil. Se utilizó el diseño cuasi-experimental, aplicando pretest y postest a grupo experimental y de control, realizando intervención en aspectos cognitivos y prácticas del profesorado de educación inicial segundo ciclo de Nicaragua, para favorecer las potencialidades de niñas y niños en relación al desarrollo infantil. La investigación aporta evidencia sobre como un modelo diseñado e intencionado al desarrollo infantil, puede desde el proceso educativo aportar al desarrollo de las potencialidades de la niñez metadata Vanegas Guido, Salvador and Pérez Ferra, Miguel mail salvador.vanegas@doctorado.unini.edu.mx, UNSPECIFIED (2022) Más allá del enfoque cognitivo en la educación inicial, desde un modelo que impacta saberes y prácticas del profesorado. MLS Educational Research, 6 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Inglés This is an effort to analyze the reaction of stock prices of Indian public and private banks listed in NSE and BSE to the announcement of seven best case news events. Several recent studies have analyzed the correlation between stock prices and news announcements; however, there is no evidence on how private and public sector Indian bank stocks react to important news events independently. We examine these features by concentrating on a sample of banking and government news events. We classify these news events to create a group of negative and a group of positive tone of announcements (sentiments). The statistical results show that the negative banking news announcements had a one-month impact on private banks, with statistically significant negative mean CARs. However, with highly statistically substantial negative mean CARs, the influence of the negative banking news announcements on public banks was observed for two months after the news was published. Furthermore, the influence of the positive banking news on private banks persisted a month after the news was published. Positive banking news events had an influence on public banks for five days after they were published. The study concludes that public bank stocks react more to negative news announcements than positive news announcements in the same manner as the sentimental polarity of the news announcements as compared to private bank stocks. First, we retrieved the news articles published in prominent online financial news portals between 2017 and 2020, and the seven major news events were extracted and classified using multi-class text classification. The Random Forest classifier produced a significant accuracy of 94% with pre-trained embeddings of DistilBERT, a neural network model, which outperformed the traditional feature representation technique, TF-IDF. The training data for the classifier were balanced using the SMOTE sampling technique metadata Dogra, Varun and Alharithi, Fahd S. and Álvarez, Roberto Marcelo and Singh, Aman and Qahtani, Abdulrahman M. mail UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED (2022) NLP-Based Application for Analyzing Private and Public Banks Stocks Reaction to News Events in the Indian Stock Exchange. Systems, 10 (6). p. 233. ISSN 2079-8954

Article Subjects > Physical Education and Sport Ibero-american International University > Research > Articles and books Abierto Inglés Objectives: This study aimed to map the characteristics and the predominant components of clinical physical activity (PA) counseling in Saudi Arabia for adult patients and outline evidence of outcomes and prevalent barriers to its implementation. Methods: We conducted a systematic literature search of four online databases: Web of Science, PubMed, ScienceDirect, and The Cochrane Library. Each study was assessed and evaluated using the Mixed Methods Appraisal Tool (MMAT) for methodological quality. Results: A total of 120 studies were screened, and 47 studies were sought for retrieval. In total, 25 articles were eligible and were subjected to extensive review. After a detailed evaluation, only nine studies met the inclusion criteria. All included were quantitative studies that compiled descriptive and numerical data on physical activity counseling. Four studies described PA counseling information in Saudi Arabia or prescription as lifestyle modification and program structure. The programs used various techniques to motivate patients to adhere to PA protocols. In general, practitioners indicated a high perceived competence in helping patients meet PA guidelines. The most frequently stated barrier was a lack of time for PA discussions with patients, followed by a lack of training in PA counseling, and a lack of patient compliance. Significant improvements in clinical parameters and smoking, food, and exercise habits were detected in experimental trials with respective intervention programs. Conclusion: This review provides preliminary insights into the delivered intervention and standard care content, its outcomes, and clinicians’ perceived competence and barriers regarding current PA counseling approaches in Saudi Arabia. Despite the small number of studies included, this review contributes to the limited understanding of current PA counseling practices in Saudi Arabia and serves as an informational source for clinicians and policymakers and a starting point for further research. metadata AlMarzooqi, Mezna A. and Saller, Franziska V. I. mail UNSPECIFIED (2022) Physical Activity Counseling in Saudi Arabia: A Systematic Review of Content, Outcomes, and Barriers. International Journal of Environmental Research and Public Health, 19 (23). p. 16350. ISSN 1660-4601

Article Subjects > Teaching Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español O presente estudo tem como tema, os impactos interculturais no desenvolvimento e no acesso às escolas dos menores de rua e adolescentes que vivem nas ruas e dos estudantes estrangeiros que chegam nas escolas brasileiras. Os objetivos são analisar os impactos na educação e mostrar a triste realidade em que vivem os menores em situação de rua, e verificar quais são as principais limitações interculturais que os estudantes estrangeiros enfrentam ao chegar na escola brasileira. Esse estudo é resultado de pesquisa bibliográfica, qualitativa e quantitativa com aplicação de pesquisa de campo, via Google Forms. A base teórica está fundamentada em Brandão (2013), Claro et al (2014), Candau (2012), Funiber (2021), Godinho (2015), Luna (2011), Mota (2012), Nunes (2013), Silva e Avelar (2014) e outros. metadata Dantas Tanaka, Gislaine Araujo and Reinehr Stoffel, Helena Teresinha and Rodrigues Dantas de Brito, Junea Graciele and Teixeira Zimmermann, Jussara Aparecida and Demiquei Gonzatti, Luciane mail UNSPECIFIED (2022) População infantil e adolescente nas ruas e estudantes estrangeiros: impactos interculturais no desenvolvimento e no acesso às escolas. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (9). e391860. ISSN 2675-6218

Article Subjects > Teaching Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Portugués O presente trabalho foi desenvolvido no âmbito de um projeto de pesquisa, para validar o uso do portfólio no desenvolvimento da aprendizagem reflexiva em alunos de cursos à distância e assim, evidenciar as vantagens do uso desta ferramenta para a reflexão no aprendizado. Foram avaliados os estilos de aprendizagem promovidos pela ferramenta em 6 diferentes países em 2 cursos de mestrado. Evidenciou-se que o portfólio digital, implementado como recurso para a aprendizagem e não apenas para avaliação, promoveu estilos relacionados à competência reflexiva, resultando útil para o desenvolvimento de currículos nos programas de formação de professores. metadata Sartor-Harada, Andresa and Ulloa Guerra, Oscar and Cordovés Santiesteban, Alexander Armando and Cordero, Yoanky mail andresa.sartor@uneatlantico.es, UNSPECIFIED, alexander.cordoves@unini.edu.mx, UNSPECIFIED (2022) Portfólio digital docente para o desenvolvimento do aprendizado reflexivo. Profesorado, Revista de Currículum y Formación del Profesorado, 26 (3). pp. 311-338. ISSN 1138-414X

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés β-Thalassemia is one of the dangerous causes of the high mortality rate in the Mediterranean countries. Substantial resources are required to save a β-Thalassemia carriers’ life and early detection of thalassemia patients can help appropriate treatment to increase the carrier’s life expectancy. Being a genetic disease, it can not be prevented however the analysis of several indicators in parents’ blood can be used to detect disorders causing Thalassemia. Laboratory tests for Thalassemia are time-consuming and expensive like high-performance liquid chromatography, Complete Blood Count (CBC) with peripheral smear, genetic test, etc. Red blood indices from CBC can be used with machine learning models for the same task. Despite the available approaches for Thalassemia carriers from CBC data, gaps exist between the desired and achieved accuracy. Moreover, the data imbalance problem is studied well which makes the models less generalizable. This study proposes a highly accurate approach for β-Thalassemia detection using red blood indices from CBC augmented by supervised machine learning. In view of the fact that all the features do not carry predictive information regarding the target variable, this study employs a unified framework of two features selection techniques including Principal Component Analysis (PCA) and Singular Vector Decomposition (SVD). The data imbalance between β-Thalassemia carrier and non-carriers is handled by Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic (ADASYN). Extensive experiments are performed using many state-of-the-art machine learning models and deep learning models. Experimental results indicate the superiority of the proposed approach over existing approaches with an accuracy score of 0.96. metadata Rustam, Furqan and Ashraf, Imran and Jabbar, Shehbaz and Tutusaus, Kilian and Mazas Pérez-Oleaga, Cristina and Pascual Barrera, Alina Eugenia and de la Torre Diez, Isabel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, cristina.mazas@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Prediction β-Thalassemia carriers using complete blood count features. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Francés Ce travail a pour objet de présenter l’état des lieux de l’usage des TIC au sein des Instituts Privés d’Enseignement Supérieur (IPES), de ressortir les insuffisances et proposer des solutions d’amélioration tant dans le cadre institutionnel que dans le cadre pédagogique. La méthode est qualitative (Deslauriers, 1991 ; Poupart, et al., 1997). L’analyse des lois en vigueur concernant le fonctionnement des IPES est effectuée pour identifier les attentes de leur tutelle académique. L’observation participative (Watson, 1913) des pratiques des différents acteurs de l’enseignement/apprentissage est menée pour identifier les ressources des TIC disponibles dans les IPES et les usages faits. Il ressort de l’analyse, la nécessité d’une restructuration du fonctionnement des IPES. Cette restructuration devrait consister à la redéfinition du cadre stratégique des IPES, la redéfinition des différents acteurs et la formation de ces derniers à l’usage adéquate des TIC dans leur pratique pédagogique tout en leur facilitant l’accès aux outils des TIC metadata Fodjo Djeche, Carole and Eyeang, Eugénie mail carole.fodjo@doctorado.unini.edu.mx, eugenie.eyeang@unini.edu.mx (2022) Prerequis pour une integration reussie des tic dans l'enseignement/apprentissage : cas des instituts prives d'enseignement superieur au Cameroun. Reserchers & Regards d'Afrique, 1 (1). ISSN 978-2-493659-00-2

Article Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production Cerrado Inglés Cactus has been used in traditional folk medicine because of its role in treating a number of diseases and conditions. Prickly pear fruit is an excellent source of secondary metabolites (i.e., betalains, flavonoids, and ascorbic acid) with health-promoting properties against many common human diseases, including diabetes, hypertension, hypercholesterolemia, rheumatic pain, gastric mucosa diseases and asthma. In addition, prickly pears are potential candidates for the development of low-cost functional foods because they grow with low water requirements in arid regions of the world. This review describes the main bioactive compounds found in this fruit and shows the in vitro and some clinical studies about the fruit of most important cactus (Opuntia ficus-indica) and its relationship with some chronic diseases. Even though a lot of effort have been done to study the relationship between this fruit and the human health, more studies on Opuntia ficus-indica could help better understand its pharmacological mechanism of action to provide clear scientific evidence to explain its traditional uses, and to identify its therapeutic potential in other diseases. metadata Armas Diaz, Yasmany and Machì, Michele and Salinari, Alessia and Mazas Pérez-Oleaga, Cristina and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Cianciosi, Danila mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED (2022) Prickly pear fruits from "Opuntia ficus-indica" varieties as a source of potential bioactive compounds in the Mediterranean diet. Mediterranean Journal of Nutrition and Metabolism, 15 (4). pp. 581-592. ISSN 1973798X

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Español El trabajo realizado presentó como principal aporte una propuesta para la evaluación del grado de interactividad en los objetos virtuales de aprendizaje (OVA), lo cual permitió un acercamiento a la estandarización en el diseño y será un aporte sobre cómo deberán ser diseñados si se espera de ellos algún grado de interactividad, estableciendo siete aspectos necesarios en el diseño, los cuales fueron usados como referencias para proponer una forma práctica en la valoración y categorización de estos. También, se hizo un aporte para comprender la interactividad de los OVA, puesto que esta se confunde con el impacto visual; en esta propuesta se relacionaron temáticas de avanzada en el diseño, tales como los estímulos supernormales. Así mismo, se propusieron unos modos de estudio que se incluyeron en el diseño del OVA, generando así, por parte del autor, un aporte en las caracterizaciones, reconocimientos y diferenciaciones, en función de los niveles de interactividad, siendo de utilidad a las entidades educativas en la modalidad virtual. Por último, el resultado más importante fue proporcionar claridad acerca de cómo puede ser evaluada la interactividad en los OVA. metadata Guevara Calume, Roberto Carlos and Uc-Rios, Carlos and Yarce Marín, Yuli Gabriela mail UNSPECIFIED, carlos.uc@unini.edu.mx, UNSPECIFIED (2022) Propuesta para la clasificación de los objetos virtuales de aprendizaje interactivos. Revista Virtual Universidad Católica del Norte (66). pp. 213-242. ISSN 0124-5821

Article Subjects > Engineering
Subjects > Teaching
Subjects > Psychology Ibero-american International University > Research > Articles and books Abierto Español La presente investigación propone el diseño de una guía para el desarrollo de software basadas en realidad aumentada (RA) enfocadas en procesos de enseñanza aprendizaje de danza, para niños con Trastorno de Espectro Autista (TEA). Para la consecución de este trabajo se realizó un levantamiento de datos recogiendo criterios y experiencias de un grupo multidisciplinario, mediante herramientas como encuesta y entrevista. A partir de ello se verifica algunos aspectos a tomar en cuenta previo al diseño, desarrollo e implementación del producto. Se evidencia la existencia de características particularidades que deben ser definidas de acuerdo al enfoque y los objetivos que persigue el software, se armonizan criterios técnicos, psicológicos, pedagógicos, estructurales. Entre los resultados más destacados se observa que se debe tomar en cuenta criterios de accesibilidad y de usabilidad en este tipo de aplicaciones, por lo tanto la propuesta se basa en la creación de un espacio lúdico el mismo que causa una afinidad especial en este tipo de usuarios. metadata Romero Pazmiño, Monica del Rocio and Harari, Ivana and Diaz, Javier and Macas Ruiz, Estela María mail UNSPECIFIED (2022) Proyecto esperanza: Desarrollo de software con realidad aumentada para enseñar danza a niños con trastorno de espectro autista. Revista de Investigación Talentos, 9 (1). pp. 99-115. ISSN 13908197

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Español En la enfermedad renal crónica (ERC) comúnmente los pacientes presentan desnutrición debido al desgaste que suponen las terapias de sustitución renal y otras situaciones propias de la enfermedad. Prevenir su aparición es complejo por la inexistencia de criterios unificados en la evaluación nutricional o en la identificación de las señales de alarma. El objetivo de este artículo es realizar una revisión sobre las pruebas existentes antropométricas, clínicas, bioquímicas, escalas y de bioimpedancia para evaluar el estado de nutrición en pacientes con ERC. metadata Gutiérrez Navarro, Lizbeth and Cuevas Escalona, Leslie and Orozco González, Nelly mail UNSPECIFIED, UNSPECIFIED, nelly.orozco@unini.edu.mx (2022) Pruebas para el diagnóstico nutricional en pacientes con enfermedad renal crónica: una revisión narrativa. Revista de Nutrición Clínica y Metabolismo, 5 (3). ISSN 2619-564X

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés, Español Este trabajo presenta los desafíos a que se enfrentan los docentes de los Institutos Privados de Educación Superior (IPES) en sus prácticas docente con las TIC y asimismo propone algunas propuestas de mejora. Con base en el método mixto (Lynd & Lynd, 1929/1959), se ha realizado una observación participativa a fin de presentar al docente de los IPES. La recogida de datos nos permite destacar datos cuantitativos y las opiniones de los docentes respecto a su práctica docente. En cuanto a su calificación docente, se desprende del análisis de los resultados que el cuerpo docente de los IPES es heterogéneo. En este campo, encontramos profesionales de la docencia, profesionales de otros dominios, estudiantes con Máster, ingenieros o con grados equivalentes que, en espera de tener un empleo en una empresa, se improvisan docentes. La mayoría de los docentes parece tener habilidades básicas en TIC, es consciente de su importancia en su práctica docente, pero no tiene suficiente acompañamiento en este proceso de cambio. El análisis muestra la necesidad de reestructurar el funcionamiento de los IPES. Dicha reestructuración debería consistir en la redefinición del marco estratégico de los IPES y de los diferentes actores, así como la formación de los mismos en el uso adecuado de las TIC en su práctica pedagógica, facilitando así su acceso a las herramientas de las TIC. Para facilitar una práctica pedagógica efectiva de los docentes de los IPES con las TIC, es importante asegurar que estén capacitados, equipados y motivados para tal fin. metadata Fodjo Djeche, Carole and Eyeang, Eugénie mail carole.fodjo@doctorado.unini.edu.mx, eugenie.eyeang@unini.edu.mx (2022) Práctica pedagógica con las TIC: casos de los docentes de los IPES en Camerún. MLS Inclusion and Society Journal, 2 (2).

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Francés On peut dire que les organisations ont toujours été marquées par des tendances mondiales nouvelles telles que les changements géopolitiques, les échanges commerciaux et les évolutions des modèles d'affaires. La pandémie vécue depuis mars 2020 s'envisage également en tant qu'événement exceptionnel. Cette étude s’inscrit dans la continuité d'une première enquête publiée au début de la crise, et vise à alimenter les réflexions concernant les stratégies d'adaptations positives qui sont maintenues ou qui résultent de la crise sanitaire associée à la pandémie de COVID-19. La précédente publication visait à identifier les effets positifs perçus ou découlant de la crise sanitaire, en vue de mieux comprendre comment les divers acteurs de la société s’organisent ou se mobilisent devant une telle catastrophe. Dans la même visée, la présente réflexion évalue dans quelle mesure la pandémie de COVID-19 aurait, deux ans plus tard, incité les personnes à mettre en place de nouvelles stratégies d’adaptation afin d’identifier comment ils anticipent le retour au travail ou à la normalité. Plus précisément, cet article présente de manière descriptive les résultats d’informations recueillies auprès de 110 répondants. Les résultats obtenus montrent que les travailleurs continuent de s’adapter positivement, mais que certaines ressources doivent être mises en place pour assurer et même renforcer leur capacité de résilience. On peut croire que pour pérenniser leur leadership au lendemain de la pandémie, nos leaders et gestionnaires devront considérer les facteurs favorables au développement ou au maintien de la résilience. Ils devront également exercer un leadership empreint de pratiques de gestion bienveillantes, et mettre en place des systèmes habiles adaptés au contexte dans lequel évoluent la société et le monde du travail au terme de cette crise metadata Brassard, Nancy and Lavoie, Charles-Étienne and Djiowou Youmbi, Herve mail UNSPECIFIED (2022) Présent et futur des adaptations positives à la pandémie de COVID-19: résilience, bonnes pratiques et stratégies employées deux ans plus tard. Ad machina (6). pp. 2-12.

Article Subjects > Psychology Ibero-american International University > Research > Articles and books Abierto Inglés The main objective of this study was to estimate the psychometric properties of the Emotional Fatigue Scale (ECE) in a sample of 1308 Chilean university students and confirm the unifactorial structure of the scale. Exploratory and confirmatory factor analyses were carried out. The ECE assessment had an internal consistency of 0.893 (Cronbach’s Alpha). An exploratory factor analysis with Varimax rotation and a confirmatory analysis were performed, obtaining the factor that explains 52.3% of the variance. The results indicated that the ECE has adequate psychometric properties for use with higher education students in Chile. The ECE scale has good psychometric properties to be applied in the Chilean university context. Its usage may be very relevant to contribute to higher education institutions to emphasize students’ mental health and prevent possible severe pathologies in future professionals. It is suggested to use the ECE scale together with the EES-Int, which is the only interpretation table for this instrument. metadata Martínez-Líbano, Jonathan and Yeomans, María-Mercedes and Oyanedel, Juan-Carlos mail UNSPECIFIED (2022) Psychometric Properties of the Emotional Exhaustion Scale (ECE) in Chilean Higher Education Students. European Journal of Investigation in Health, Psychology and Education, 12 (1). pp. 50-60. ISSN 2254-9625

Article Subjects > Teaching Ibero-american International University > Research > Articles and books Abierto Inglés Evaluating the quality of education contributes to the detection, as well as to the improvement or solution of failures in the educational system of schools. Likewise, teacher training is one of the main axes of educational quality. Objective: To evaluate educational quality through the degree of satisfaction of students and teachers. Methodology: An instrument based on a Likert scale was applied to 304 students and 198 teachers of the 18 largest private universities located in the city of Culiacán, Sinaloa. The research was carried out from the observational analytical method, including a cross-sectional and quantitative study of descriptive scope. Results: The results show that in the classrooms there is a heterogeneity of students with very particular interests and needs, while on the side of the educational institutions the interests do not always agree with these needs and interests, and even less with the formative education of the teachers. Conclusions: the crucial role of teachers and educational institutions in meeting the goals set for undergraduate students is recognized; at the same time, a permanent evaluation of educational quality and teacher training is required. metadata Ibarra-Sánchez, Alfredo and Acuña Gamboa, Luis Alan mail UNSPECIFIED (2022) The Quality of Private Higher Education in Mexico: The Case of Culiacán, Sinaloa. Sinergias Educativas, 7 (1).

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Wearable monitoring devices are in demand in recent times for monitoring daily activities including exercise. Moreover, it is widely utilizing for preventing injuries of athletes during a practice session and in few cases, it leads to muscle fatigue. At present, emerging technology like the internet of things (IoT) and sensors is empowering to monitor and visualize the physical data from any remote location through internet connectivity. In this study, an IoT-enabled wearable device is proposing for monitoring and identifying the muscle fatigue condition using a surface electromyogram (sEMG) sensor. Normally, the EMG signal is utilized to display muscle activity. Arduino controller, Wi-Fi module, and EMG sensor are utilized in developing the wearable device. The Time-frequency domain spectrum technique is employed for classifying the three muscle fatigue conditions including mean RMS, mean frequency, etc. A real-time experiment is realized on six different individuals with developed wearable devices and the average RMS value assists to determine the average threshold of recorded data. The threshold level is analyzed by calculating the mean RMS value and concluded three fatigue conditions as >2 V: Extensive); 1–2 V: Moderate, and <1 V: relaxed. The warning alarm system was designed in LabVIEW with three color LEDs to indicate the different states of muscle fatigue. Moreover, the device is interfaced with the cloud through the internet provided with a Wi-Fi module embedded in wearable devices. The data available in the cloud server can be utilized for forecasting the frequency of an individual to muscle fatigue. metadata Gehlot, Anita and Singh, Rajesh and Siwach, Sweety and Vaseem Akram, Shaik and Alsubhi, Khalid and Singh, Aman and Delgado Noya, Irene and Choudhury, Sushabhan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) Real Time Monitoring of Muscle Fatigue with IoT and Wearable Devices. Computers, Materials & Continua, 72 (1). pp. 999-1015. ISSN 1546-2226

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español Este estudio presenta una aproximación al creciente mercado del caucho disponible para reciclaje, incorporado en los costos de la evaluación de proyectos relacionados con el reciclaje de neumáticos, para lo que se estudia el comportamiento de las empresas relacionadas con la actividad económica de mantenimiento y reparación de vehículos automotores de la región del Maule en Chile. El tema corresponde al campo de investigación del medio ambiente, calidad y prevención y estará enmarcado en la Ley de responsabilidad extendida del productor y fomento al reciclaje, de reciente promulgación en el país. La metodología utilizada, considerará un modelo sistémico compuesto por entradas, procesos y salidas, además de normas y recursos. Para establecer las entradas, será necesario recurrir a fuentes primarias de información, lo que implicará identificar la población de empresas que generan neumáticos y determinar la muestra que se medirá a través del empleo de herramientas de recolección de información y se diseñarán para que puedan satisfacer criterios científicos aceptables, que puedan ser aplicadas por otros investigadores y puedan ser validados sus resultados, estadísticamente y corroborados mediante fuentes secundarias. Al usar un caso real para una población determinada, se utilizó un diseño descriptivo transversal. El resultado del análisis de la información obtenida mediante el software estadístico SPSS para metodologías cuantitativas, determinan la discusión y conclusiones. metadata Pali-Casanova, Ramón and López Rojas, José Bernardo mail ramon.pali@unini.edu.mx, jose.lopez1@doctorado.unini.edu.mx (2022) Reciclaje de neumáticos y rentabilidad en empresas de mantenimiento y reparación de vehículos automotores de la región del Maule. Project Design and Management, 4 (1). ISSN 2683-1597

Article Subjects > Nutrition Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés Background: The aim of this study was to relate the adherence to nut consumption (30 g) three or more days per week to the prevalence of abdominal obesity and metabolic syndrome (MetS) in an elderly population from the north of Spain. Methods: The study consists of an observational, descriptive, cross-sectional, and correlational study conducted in 556 non-institutionalised individuals between 65 and 79 years of age. To define the consumption recommendation of nuts the indication of the questionnaire MEDAS-14 was followed. The diagnosis of MetS was conducted using the International Diabetes Federation (IDF) criteria. Results: In 264 subjects aged 71.9 (SD: ±4.2) years old, 39% of whom were men, the adherence to nut consumption recommendations was 40.2%. Of these individuals, 79.5% had abdominal obesity. The prevalence of MetS was 40.2%, being 47.6% in men and 35.4% in women (p < 0.05). A nut consumption lower than recommended was associated with a 19% higher prevalence of abdominal obesity (Prevalence Ratio: 1.19; 95% CI: 1.03−1.37; p < 0.05) and a 61% higher prevalence of MetS (Prevalence Ratio: 1.61; 95% CI: 1.16−2.25; p = 0.005) compared to a consumption of ≥3 servings per week. Conclusion: An inverse relationship was established between nut consumption and the prevalence of abdominal obesity and metabolic syndrome. metadata Cubas-Basterrechea, Gloria and Elío Pascual, Iñaki and Sumalla Cano, Sandra and Aparicio Obregón, Silvia and González-Antón, Carolina Teresa and Muñoz-Cacho, Pedro mail UNSPECIFIED, inaki.elio@uneatlantico.es, sandra.sumalla@uneatlantico.es, silvia.aparicio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) The Regular Consumption of Nuts Is Associated with a Lower Prevalence of Abdominal Obesity and Metabolic Syndrome in Older People from the North of Spain. International Journal of Environmental Research and Public Health, 19 (3). p. 1256. ISSN 1660-4601

Article Subjects > Physical Education and Sport Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Scientific Production Abierto Español Objetivo: El objetivo de este estudio fue describir la funcionalidad motriz de bomberos por medio de la batería Functional Movement Screen (FMS), e identificar su relación con factores antropométricos de riesgo cardiovascular (RC). Método: Participaron un total de 139 bomberos, de los cuales 122 corresponden a hombres y 17 a mujeres pertenecientes a 16 compañías de bomberos de la comuna de Valparaíso, Chile. Se aplicó la batería de evaluación FMS y se tomaron medidas de perímetro cintura (PC), índice de masa corporal (IMC) y el índice cintura-estatura (ICE). Resultados: Para las mujeres se reportaron correlaciones bajas entre el FMS y las variables antropométricas de RC, mientras que para los hombres estas correlaciones fueron significativas y negativas entre FMS y las variables PC, ICE e IMC (r = -,37, p < ,001; r = -,34, p < ,001; –-,40, p < ,002), respectivamente. El 64,02% de los participantes en ICE se clasificó en un alto RC (≥ ,50) y en el IMC un 73% en las categorías de sobrepeso y obesidad. De acuerdo con los resultados de la evaluación FMS, el 45,33% de los participantes presentan una baja funcionalidad motriz. Conclusión: La baja funcionalidad motriz y los elevados valores en parámetros antropométricos de RC son factores que debería preocupar a comunidades como las compuestas por bomberos, quienes desarrollan labores de alta exigencia física y mental, en condiciones extremas que muchas veces pueden poner en peligro la salud de los propios voluntarios metadata Barraza-Gómez, Fernando and Rodríguez Canales, Carolina and Hecht-Chau, Gernot and Alvear-Ordenes, Ildefonso and Enríquez-Valenzuela, Matías mail UNSPECIFIED, carolina.rodriguez@unini.org, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Relación entre funcionalidad motriz y factores antropométricos de riesgo cardio metabólico en bomberos de la región de Valparaíso, Chile. Retos, 44. pp. 1148-1154.

Article Subjects > Nutrition Ibero-american International University > Research > Articles and books Abierto Inglés The aim of the present study was to develop and validate a test to evaluate dietitian's clinical competence (CC) about nutritional care in patients with early chronic kidney disease (CKD). The study was conducted through five steps: (1) CC and its dimensions were defined; (2) test items were elaborated, and choice of response format and scoring system was selected; (3) content and face validity were established; (4) test was subjected to a pilot test and those items with inadequate performance were removed; (5) criterion validity and internal consistency for final validation were established. A 120-items test was developed and applied to 207 dietitians for validation. Dietitians with previous CKD training obtained higher scores than those with no training, confirming the test validity criterion. According to item analysis, Cronbach's α was 0⋅85, difficulty index 0⋅61 ± 0⋅22, discrimination index 0⋅26 ± 0⋅15 and inter-item correlation 0⋅19 ± 0⋅11, displaying adequate internal consistency. metadata Márquez-Herrera, Roxana M. and Cortés-Sanabria, Laura and Cueto-Manzano, Alfonso M. and Martínez-Ramírez, Héctor R. and Rojas-Campos, Enrique and Orozco González, Nelly and González-Palacios, Aaron mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, nelly.orozco@unini.edu.mx, UNSPECIFIED (2022) Reliability and validity of a clinical competence test for dietitians caring patients with early chronic kidney disease. Journal of Nutritional Science, 11. ISSN 2048-6790

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production Abierto Inglés Deep learning is used to address a wide range of challenging issues including large data analysis, image processing, object detection, and autonomous control. In the same way, deep learning techniques are also used to develop software and techniques that pose a danger to privacy, democracy, and national security. Fake content in the form of images and videos using digital manipulation with artificial intelligence (AI) approaches has become widespread during the past few years. Deepfakes, in the form of audio, images, and videos, have become a major concern during the past few years. Complemented by artificial intelligence, deepfakes swap the face of one person with the other and generate hyper-realistic videos. Accompanying the speed of social media, deepfakes can immediately reach millions of people and can be very dangerous to make fake news, hoaxes, and fraud. Besides the well-known movie stars, politicians have been victims of deepfakes in the past, especially US presidents Barak Obama and Donald Trump, however, the public at large can be the target of deepfakes. To overcome the challenge of deepfake identification and mitigate its impact, large efforts have been carried out to devise novel methods to detect face manipulation. This study also discusses how to counter the threats from deepfake technology and alleviate its impact. The outcomes recommend that despite a serious threat to society, business, and political institutions, they can be combated through appropriate policies, regulation, individual actions, training, and education. In addition, the evolution of technology is desired for deepfake identification, content authentication, and deepfake prevention. Different studies have performed deepfake detection using machine learning and deep learning techniques such as support vector machine, random forest, multilayer perceptron, k-nearest neighbors, convolutional neural networks with and without long short-term memory, and other similar models. This study aims to highlight the recent research in deepfake images and video detection, such as deepfake creation, various detection algorithms on self-made datasets, and existing benchmark datasets. metadata Shahzad, Hina Fatima and Rustam, Furqan and Soriano Flores, Emmanuel and Vidal Mazón, Juan Luis and de la Torre Diez, Isabel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) A Review of Image Processing Techniques for Deepfakes. Sensors, 22 (12). p. 4556. ISSN 1424-8220

Article Subjects > Social Sciences Ibero-american International University > Research > Articles and books Abierto Español En este trabajo se abordó, de manera descriptiva y cronológica, la revitalización de la lengua Rama, la cual fortaleció la identidad cultural del pueblo Rama en la Costa Caribe de Nicaragua. El rescate de esta lengua surgió por demanda y solicitud de los comunitarios indígenas Rama a partir de los años 80, iniciando así la lucha de su identidad cultural y lingüística como pueblo indígena. Por otro lado, la revitalización dio inicio en 1983 con la participación de 25 personas, entre niños, jóvenes y familias Rama, con actividades como cursos y talleres de capacitación, contribuyendo a una educación intercultural desde una perspectiva de los derechos indígenas. En este trabajo se realizó un análisis descriptivo y cronológico, con un enfoque etnográfico cualitativo, para documentar el rescate de los elementos culturales, a través de medios y materiales didácticos, que garantizaron y proporcionaron los alcances para el proceso de revitalización lingüística y fortalecieron la identidad sociocultural de la comunidad indígena Rama. En conclusión, este fenómeno sociolingüístico, desarrollado desde los años 80, fortaleció la igualdad de derecho del pueblo Rama ante la política lingüística del país. Actualmente, se ha desarrollado un mecanismo de participación de los comunitarios en la prevalencia de su cultura y su lengua originaria mediante la promoción de un programa de revitalización y rescate de los valores culturales que, desde el 2017, ha fomentado una estrategia de enseñanza aprendizaje con técnicas lúdicas para la adquisición de la lengua que se encuentra en peligro de extinción. metadata Hodgson, Selvano Ervin and Pascual Barrera, Alina Eugenia mail UNSPECIFIED, alina.pascual@unini.edu.mx (2022) Revitalización lingüística de la lengua Rama en la Costa Caribe de Nicaragua. Revista Universitaria del Caribe, 29 (02). pp. 86-95. ISSN 2311-5807

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés MANET is a mobile ad hoc network with many mobile nodes communicating without a centralized module. Infrastructure-less networks make it desirable for many researchers to publish and bind multimedia services. Each node in this infrastructure-less network acts as self-organizing and re-configurable. It allows services to deploy and attain from another node over the ad hoc network. The service composition aims to provide a user’s requirement by combining different atomic services based on non-functional QoS parameters such as reliability, availability, scalability, etc. To provide service composition in MANET is challenging because of the node mobility, link failure, and topology changes, so a traditional protocol will be sufficient to obtain real-time services from mobile nodes. In this paper, the ad hoc on-demand distance vector protocol (AODV) is used and analyzed based on MANET’s QoS (Quality of Service) metrics. The QoS metrics for MANET depends on delay, bandwidth, memory capacity, network load, and packet drop. The requester node and provider node broker acts as a composer for this MANET network. The authors propose a QoS-based Dynamic Secured Broker Selection architecture (QoSDSBS) for service composition in MANET, which uses a dynamic broker and provides a secure path selection based on QoS metrics. The proposed algorithm is simulated using Network Simulator (NS2) with 53 intermediate nodes and 35 mobile nodes of area 1000 m × 1000 m. The comparative results show that the proposed architecture outperforms, with standards, the AODV protocol and affords higher scalability and a reduced network load metadata Ramalingam, Rajakumar and Muniyan, Rajeswari and Dumka, Ankur and Singh, Devesh Pratap and Mohamed, Heba G. and Singh, Rajesh and Anand, Divya and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es (2022) Routing Protocol for MANET Based on QoS-Aware Service Composition with Dynamic Secured Broker Selection. Electronics, 11 (17). p. 2637. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Articles and books Abierto Inglés To provide faster access to the treatment of patients, healthcare system can be integrated with Internet of Things to provide prior and timely health services to the patient. There is a huge limitation in the sensing layer as the IoT devices here have low computational power, limited storage and less battery life. So, this huge amount of data needs to be stored on the cloud. The information and the data sensed by these devices is made accessible on the internet from where medical staff, doctors, relatives and family members can access this information. This helps in improving the treatment as well as getting faster medical assistance, tracking of routine activities and health focus of elderly people on frequent basis. However, the data transmission from IoT devices to the cloud faces many security challenges and is vulnerable to different security and privacy threats during the transmission path. The purpose of this research is to design a Certificateless Secured Signature Scheme that will provide a magnificent amount of security during the transmission of data. Certificateless signature, that removes the intricate certificate management and key escrow problem, is one of the practical methods to provide data integrity and identity authentication for the IoT. Experimental result shows that the proposed scheme performs better than the existing certificateless signature schemes in terms of computational cost, encryption and decryption time. This scheme is the best combination of high security and cost efficiency and is further suitable for the resource constrained IoT environment. metadata Kakkar, Latika and Gupta, Deepali and Tanwar, Sarvesh and Saxena, Sapna and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) A Secure and Efficient Signature Scheme for IoT in Healthcare. Computers, Materials & Continua, 73 (3). pp. 6151-6168. ISSN 1546-2226

Article Subjects > Engineering Ibero-american International University > Research > Articles and books Abierto Inglés The proper verification of users plays a vital role during communication over a social network to protect the personal data of users. Multifarious protocols have been implemented to secure the confidential data of the users, but these protocols have various limitations and are incapable of providing secrecy of data against various attacks, such as replay and cryptanalysis attacks. In this article, the authors proposed a novel method for security verification of the social network model using an improved three-party authenticated key exchange (3PAKE) protocol based on symmetric encryption and (ECC) elliptic curve cryptography. The outcome of the paper demonstrates that our proposed algorithm provides the desired secrecy to the confidential data exchange over social networks in real-time and co

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