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- Universidad Internacional Iberoamericana México (1816)
2021
Ponencia/Presentación en Jornada, Congreso Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Congresos Cerrado Inglés According to Unicef, in 2019, 33 million children were international migrants. This situation has been intensified due to Covid-19 pandemic. Among the reasons to leave a country, we can find poverty, climate change, economic reasons or the hope of having a better life. Migrant children in school age can face many challenges: language barriers, lack of understanding of social norms, limited resources from the school, and psychosocial issues. These challenges can produce long-lasting psychological and physical effects leading to a halt on the developing of their full potential along their life. So, an early intervention is crucial to boost migrant children’s educational language acquisition and understanding of culture and social norms to their educational achievement. This paper discusses the advantages of mlearning to foster language learning and facilitate a cultural integration by migrant children with the support of translanguaging strategies and intercultural approach. The role of mlearning to foster language learning has been discussed by Azevedo-Gomes & Sartor-Harada (2020) with a mlearning model with four guidelines: the construction of meaning, the interaction between peers, a focus on previous experiences, and formative feedback. Mlearning seeks to integrate learning theories, especially constructivist and behavioral theories to also create collaborative working environments (Crompton, Burke & Gregory, 2017). Despite the fact the design is focused to improve a minority language, the concepts about psycholinguistic factors are similar to migrant children's needs. Furthermore, mlearning allows to involve parents in language instruction and provide flexible education pathways, both considered good policy practices by OECD (2021) to support the lifelong integration of immigrant children. The report examines the role of an intercultural approach with the support of translanguaging strategies. The first one considers the child’s heritage and could help to expand awareness towards both cultures in gamified activities. Plus, translanguaging strategies “leverages the fluid language of learners in ways that deepen their engagement and comprehension of complex content and texts” (García & Vogel, 2017, p.2) and could help children to transfer language competencies to a new language, speeding up their target language learning and fostering their self-esteem by valuing their previous knowledge. The authors base their assumptions on the thesis that the formula translanguaging and intercultural approach can contribute to a positive mixed identity construction. Finally, the authors present their strategy for gamified activities with mlearning support including translanguaging strategies and intercultural approach in order to ease integration and a full educational achievement of migrant children. metadata Azevedo-Gomes, Juliana; Sartor-Harada, Andresa; Cordovés Santiesteban, Alexander Armando y Cordero Gómez, Yoanky mail SIN ESPECIFICAR, SIN ESPECIFICAR, alexander.cordoves@unini.edu.mx, SIN ESPECIFICAR (2021) Translanguaging and intercultural approach: a mlearning proposal to ease inmigrant children's integration. In: 14th annual International Conference of Education, Research and Innovation.
2019
Ponencia/Presentación en Jornada, Congreso Materias > Ingeniería Universidad Internacional Iberoamericana México > Investigación > Congresos Cerrado Inglés Conventional IP networks connect places at great distances and meet the connectivity needs of their users. To perform each of these operations, each packet must pass through various network devices, which make individual routing decisions that make centralized network management difficult. These networks have been growing both in size and complexity, each day at a higher rate, which has generated a series of difficulties in personalization, integration, security, and optimization of these. As a solution, the Software-Defined Networking (SDN) architecture [1] was created, which promises to be a dynamic, manageable, profitable and adaptable architecture, thus becoming an ideal tool to handle large bandwidths and the development and implementation of customized applications, for different types of needs on communication networks. This document shows a performance analysis between SDN and a conventional IP network configured with the EIGRP and BGP routing protocols, establishing a configuration scenario with physical network equipment and with an SDN emulator called Mininet. The research methodology is based on the guidelines of the Cisco PPDIOO methodology and is developed in the following phases: 1. Elaboration of physical network topology with Cisco equipment, performing experiments with IPv4 and IPv6, measuring variables such as Jitter, Delay and Throughput. 2. Carrying out the same experiments and tests with SDN, in a network topology with similar characteristics to those already mentioned, but with OpenFlow switches. 3. Analysis of results, for which the behavior of jitter, delay and throughput variations of both scenarios is examined to make a series of comparisons (made with statistical analysis) concerning protocol, addressing, packet size among others. Finally, it was obtained as a result that SDN has a lower delay and jitter than the conventional IP network in some cases, as well as a more favorable throughput. metadata Hernandez, Leonel; Jimenez, Genett; Pranolo, Andri y Uc-Rios, Carlos mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, carlos.uc@unini.edu.mx (2019) Comparative Performance Analysis Between Software-Defined Networks and Conventional IP Networks. In: 2019 5th International Conference on Science in Information Technology (ICSITech), 24-24 otubre de 2019, Yogyakarta, Indonesia.
2017
Ponencia/Presentación en Jornada, Congreso Materias > Ciencias Sociales Universidad Internacional Iberoamericana México > Investigación > Congresos Abierto Español El sistema propuesto permite hacer un análisis comparativo de los diferentes proyectos participantes en eventos de invención, innovación y creatividad, basados en sus características de calidad en uso, funcionalidad y usabilidad, mediante un plan de métricas externas y de calidad en uso. El modelo está basado en normas internacionales (ISO/IEC 9126, 14598, IEEE 1061) y modelos mexicanos (MECHDAV), y software propuesto, es desarrollado en un ambiente visual WEB, para dispositivos móviles (tabletas), permiten evaluar genéricamente la calidad de los proyectos-productos-servicios que participan en los concursos mencionados; este sistema proporciona un soporte a las personas evaluadoras (jurados) para emitir dictámenes imparciales con mayor precisión cuantitativa. Este sistema está dirigido a organizaciones, empresas y usuarios finales que necesiten seleccionar, fácilmente, los proyectos desarrollados con más calidad, para ser los ganadores en estos concursos. Se proporciona una guía para la instrumentación concreta de la evaluación, así como sus rangos, la presentación, procedimientos y documentación. Palabras clave: modelo de calidad, evaluación técnica de proyectos-productos; concurso de creatividad, calidad en uso, métricas externas. metadata Uc-Rios, Carlos; Varga Pérez, Laura Silvia; Gutiérrez Tornés, Agustín Francisco; Felipe Riverón, Edgardo Manuel; Soto Hernández, Ana Maria; Peralta Escobar, Jorge y Vargas, Vanesa mail carlos.uc@unini.edu.mx, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR (2017) Calidad en uso: Fundamental en la evaluación de proyectos para la formación ingenieril de líderes de su entorno. In: Global Partnerships for Development and Engineering Education: Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education and Technology, 19-21-julio 2017, Boca Raton, Forida..
2016
Artículo Materias > Psicología Universidad Internacional Iberoamericana México > Investigación > Congresos Abierto Inglés SIN ESPECIFICAR metadata Duñabeitia, Jon A.; Griffin, Kim L.; Martín, Juan L.; Oliva, Mireia; Sámano, María L. y Ivaz, Lela mail SIN ESPECIFICAR, kim.griffin@uneatlantico.es, juan.martin@uneatlantico.es, mireia.oliva@uneatlantico.es, marialuisa.samano@uneatlantico.es, SIN ESPECIFICAR (2016) The Spanish General Knowledge Norms. Front. Psychol., 7. p. 1888. ISSN 1664-1078
<a href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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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.
Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,
Alemany Iturriaga
<a href="/15198/1/nutrients-16-03859.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Imanol Eguren García mail imanol.eguren@uneatlantico.es, Álvaro Lasarte García mail , Thomas Prola mail thomas.prola@uneatlantico.es, Raquel Martínez Díaz mail raquel.martinez@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
Sumalla Cano
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The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.
Pedro Ángel de Santos Castro mail , Carlos del Pozo Vegas mail , Leyre Teresa Pinilla Arribas mail , Daniel Zalama Sánchez mail , Ancor Sanz-García mail , Tony Giancarlo Vásquez del Águila mail , Pablo González Izquierdo mail , Sara de Santos Sánchez mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Irma Dominguez Azpíroz mail irma.dominguez@unini.edu.mx, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Francisco Martín-Rodríguez mail ,
de Santos Castro
<a class="ep_document_link" href="/14915/1/s41598-024-74357-w.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.
Furqan Rustam mail , Ahmad Sami Al-Shamayleh mail , Rahman Shafique mail , Silvia Aparicio Obregón mail silvia.aparicio@uneatlantico.es, Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, J. Pablo Miramontes Gonzalez mail , Imran Ashraf mail ,
Rustam
<a href="/14916/1/s41598-024-75833-z.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Assessment of side effects associated with COVID-19 vaccination is required to monitor safety issues and acceptance of vaccines in the long term. We found a significant knowledge gap in the safety profile of COVID-19 vaccines in Bangladesh. We enrolled 1805 vaccine recipients from May 5, 2021, to April 4, 2023. Kruskal-Wallis test and χ2 test were performed. Multivariable logistic regression was also performed. First, second and third doses were administered among 1805, 1341, and 923 participants, respectively. Oxford–AstraZeneca (2946 doses) was the highest administered followed by Sinopharm BIBP (551 doses), Sinovac (214 doses), Pfizer-BioNTech (198 doses), and Moderna (160 doses), respectively. Pain at the injection site (80-90%, 3200–3600), swelling (85%, 3458), redness (78%, 3168), and heaviness in hand (65%, 2645) were the most common local effects, and fever (85%, 3458), headache (82%, 3336), myalgia (70%, 2848), chills (67%, 2726), muscle pain (60%, 2441) were the most prevalent systemic side effects reported within 48 h of vaccination. Thrombosis was only reported among the Oxford–AstraZeneca recipients (3.5-5.7%). Both local and systemic effects were significantly associated with the Oxford–AstraZeneca (p-value < 0.05), Pfizer–BioNTech (p-value < 0.05), and Moderna (p-value < 0.05) vaccination. Chronic urticaria and psoriasis were reported by 55-60% of the recipients after six months or later. The highest percentage of local and systemic effects after 2nd and 3rd dose were found among recipients of Moderna followed by Pfizer-BioNTech and Oxford–AstraZeneca. Homogenous doses of Oxford–AstraZeneca and heterogenous doses of Moderna and Pfizer-BioNTech were significantly associated with elevated adverse effects. Females, aged above 60 years with preexisting health conditions had higher risks. Vaccination with Pfizer-BioNTech (OR 4.34, 95% CI 3.95–4.58) had the highest odds of severe and long-term effects followed by Moderna (OR 4.15, 95% CI 3.92–4.69) and Oxford–AstraZeneca (OR 3.89, 95% CI 3.45–4.06), respectively. This study will provide an integrated insight into the safety profile of COVID-19 vaccines.
Nadim Sharif mail , Rubayet Rayhan Opu mail , Tama Saha mail , Afsana Khan mail , Abrar Aljohani mail , Meshari A. Alsuwat mail , Carlos O. García mail , Annia A. Vázquez mail annia.almeyda@uneatlantico.es, Khalid J. Alzahrani mail , J. Pablo Miramontes-González mail , Shuvra Kanti Dey mail ,
Sharif