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Número de documentos: 465.
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AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.
Action Research for Designing an EFL CLIL, Communicative and Task-Based Material Integrating Environmental Contents for ninth grade in students at I.E. San Gerardo of A1 Level.
An Action Research for Implementing Didactic Strategies Increasing EFL Teachers' Agency and Improving the EFL Learning Process in a Study Group in a School in Monteria, Colombia.
An Analytical Framework for Innovation Determinants and Their Impact on Business Performance.
Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field.
Barriers to and facilitators of adherence to pelvic floor muscle exercises and vaginal dilator use among gynecologic cancer patients: a qualitative study.
Betalains: The main bioactive compounds of Opuntia spp and their possible health benefits in the Mediterranean diet.
Blockchain based transparent and reliable framework for wheat crop supply chain.
Competitive Coevolution-Based Improved Phasor Particle Swarm Optimization Algorithm for Solving Continuous Problems.
A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems.
Design of a EFL Task-based Course to Enhance the Linguistic Writing Skill of Learners in a General English Program at O’Higgins University.
Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network.
DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network.
Edge of Things Inspired Robust Intrusion Detection Framework for Scalable and Decentralized Applications.
El método MACTOR para analizar los procesos de gestión de los proyectos y programas de desarrollo en África.
Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence.
Ensemble stacked model for enhanced identification of sentiments from IMDB reviews.
A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles.
Hybrid Model with Wavelet Decomposition and EfficientNet for Accurate Skin Cancer Classification.
Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises’ Performance.
Incorporating soil information with machine learning for crop recommendation to improve agricultural output.
Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria.
An Intelligent Logic-Based Mold Breakout Prediction System Algorithm for the Continuous Casting Process of Steel: A Novel Study.
IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System.
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.
Las relaciones de género y el trabajo de mujeres como factores de riesgo demográficos por la pandemia del COVID-19.
Lightweight Hybrid Deep Learning Architecture and Model for Security in IIOT.
Master in Teaching English as a Foreign Language.
Modelo de valuación de sostenibilidad para una empresa exportadora 4.0.
Multipath Routing in Wireless Body Area Sensor Network for Healthcare Monitoring.
A Novel Framework for Fog-Assisted Smart Healthcare System with Workload Optimization.
Novel model to authenticate role-based medical users for blockchain-based IoMT devices.
Novel transfer learning approach for hand drawn mathematical geometric shapes classification.
Novel transfer learning based bone fracture detection using radiographic images.
Novel transfer learning based bone fracture detection using radiographic images.
Nutritional Value and Preventive Role of Nigella sativa L. and Its Main Component Thymoquinone in Cancer: An Evidenced-Based Review of Preclinical and Clinical Studies.
Optimal Modeling and Feasibility Analysis of Grid-Interfaced Solar PV/Wind/Pumped Hydro Energy Storage Based Hybrid System.
Physical Activity Counseling in Saudi Arabia: A Systematic Review of Content, Outcomes, and Barriers.
Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model.
Polyphenol-rich strawberry extract (PRSE) shows in vitro and in vivo biological activity against invasive breast cancer cells.
Prickly pear fruits from "Opuntia ficus-indica" varieties as a source of potential bioactive compounds in the Mediterranean diet.
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain tumor classification.
Real Word Spelling Error Detection and Correction for Urdu Language.
Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization.
A Smart Cloud and IoVT-Based Kernel Adaptive Filtering Framework for Parking Prediction.
Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.
Switching Angles Calculation in Multilevel Inverters Using Triangular Number Sequence –A THD Minimization Approach.
Translanguaging and intercultural approach: a mlearning proposal to ease inmigrant children's integration.
Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis.
A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation.
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Behavioral and Performance Analysis of a Real-Time Case Study Event Log: A Process Mining Approach.
Complementariedad y articulación de las metodologías de planificación y gestión de proyectos.
Design and assembly of an IoT-based device to determine the absorbed dose of gamma and UV radiation.
Detecting Cyberattacks to Federated Learning on Software-Defined Networks.
FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas.
Formal modeling and analysis of security schemes of RPL protocol using colored Petri nets.
Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective.
La redacción de las citas y referencias en los Proyectos de Grado: caso República Dominicana.
Lipophilic antioxidants prevent lipopolysaccharide-induced mitochondrial dysfunction through mitochondrial biogenesis improvement.
Multi-Objective Energy Efficient Adaptive Whale Optimization Based Routing for Wireless Sensor Network.
Natural Language Processing-Based Software Testing: A Systematic Literature Review.
SARSMutOnto: An Ontology for SARS-CoV-2 Lineages and Mutations.
Simulation for a Dual Inverter Feeding a Three-Phase Open-End Winding Induction Motor: A Comparative Study of PWM Techniques.
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.
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An Action Research to Boost the Motivation of EFL students at Universidad Santiago de Cali through the Implementation of a Task Based extracurricular material for a virtual space for English practice.
Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain.
Antimicrobial Resistance Determinants in Genomes and Plasmids from Acinetobacter baumannii Clinical Isolates.
Blockchain Enabled Transparent and Anti-Counterfeiting Supply of COVID-19 Vaccine Vials.
Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model.
Can alpha‐linolenic acid be a modulator of “cytokine storm,” oxidative stress and immune response in SARS‐CoV‐2 infection?
Can the phenolic compounds of Manuka honey chemosensitize colon cancer stem cells? A deep insight into the effect on chemoresistance and self-renewal.
Daily Intake of Two or More Servings of Vegetables Is Associated with a Lower Prevalence of Metabolic Syndrome in Older People.
Genetic Resistance Determinants in Clinical Acinetobacter pittii Genomes.
Human‐based new approach methodologies to accelerate advances in nutrition research.
An Image Retrieval Framework Design Analysis Using Saliency Structure and Color Difference Histogram.
Importancia de la seguridad de la información en las empresas de tecnología de información corporativa.
Inequalities and Asymmetries in the Development of Angola’s Provinces: The Impact of Colonialism and Civil War.
The Molecular Basis of Different Approaches for the Study of Cancer Stem Cells and the Advantages and Disadvantages of a Three-Dimensional Culture.
A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling.
Organizational Culture Assessment Based on a Values-Based Coaching Program for Strategic Level Employees: The Case of GEDEME, Cuba.
Papel del trabajo remunerado no agrícola en la productividad agrícola y bienestar. Evidencias de las provincias de Gaza y Maputo, al sur de Mozambique en 2015.
Planteamiento de un modelo energético descriptivo aplicable a la instalación de sistemas solares fotovoltaicos interconectados a la red mediante generación distribuida: caso de estudio en Nuevo Laredo.
Possible role of nutrition in the prevention of Inflammatory Bowel Disease-related colorectal cancer: a focus on human studies.
PyDEMATEL: A Python-based tool implementing DEMATEL and fuzzy DEMATEL methods for improved decision making.
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.
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.
A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective.
Teaching strategies and e-learning using Google for Education tools in school students of IV secondary from Colegio Peruano Aleman Beata Imelda.
Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques.
Underwater Wireless Sensor Networks: Enabling Technologies for Node Deployment and Data Collection Challenges.
A commentary of factors related to player availability and its influence on performance in elite team sports.
An enhanced opportunistic rank-based parent node selection for sustainable & smart IoT networks.
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Deep learning model for detection of brown spot rice leaf disease with smart agriculture.
Educational interventions on breast cancer in men and women: a necessity in primary healthcare.
Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing.
Evaluation of the Analgesic Efficacy of a Bioelectronic Device in Non-Specific Chronic Low Back Pain with Neuropathic Component. A Randomized Trial.
Exploring Microstructural, Interfacial, Mechanical, and Wear Properties of AlSi7Mg0.3 Composites with TiMOVWCr High-Entropy Alloy Powder.
Intelligent Approach for Clustering Mutations’ Nature of COVID-19 Genome.
Mission profiles and hygrothermal conditions: Its effects on the reliability of a soft switching converter.
NLP-Based Application for Analyzing Private and Public Banks Stocks Reaction to News Events in the Indian Stock Exchange.
A Novel Deep Learning Based Healthcare Model for COVID-19 Pandemic Stress Analysis.
Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.
Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments.
Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study.
The Spanish General Knowledge Norms.
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Adherence to the pyramid of the Mediterranean diet (2010), non-communicable diseases and lifestyle in online postgraduate Spanish students in the food area.
Advancing Nutritional Science: Contemporary Perspectives on Diet’s Role in Metabolic Health and Disease Prevention.
Cocoa Shells Flour for Human Consumption.
A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study.
Emotional Management in Journalism and Communication Studies.
Exploring the Potential of Microservices in Internet of Things: A Systematic Review of Security and Prospects.
Fundus image classification using feature concatenation for early diagnosis of retinal disease.
Proposal for the improvement of reading comprehension of English as a foreign language based on social networks for tenth grade students.
Risk Factors for Eating Disorders in University Students: The RUNEAT Study.
The Scope of Technostress and Care of The Self on Journalists During the Pandemic.
Sensorial Quality ofBreads and Cookies Prepared with Flour from The Shells of Two Varieties of Cocoain Ecuador.
Triple-Band Notched Ultra-Wideband Microstrip MIMO Antenna with Bluetooth Band.
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Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives.
Client engagement solution for post implementation issues in software industry using blockchain.
Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics.
Creciendo en la adversidad: la resiliencia del estudiantado con discapacidad en la Universidad Nacional, Costa Rica.
Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection.
Detection of cotton crops diseases using customized deep learning model.
DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents.
Harnessing AI forward and backward chaining with telemetry data for enhanced diagnostics and prognostics of smart devices.
The Healthy Effects of Strawberry Polyphenols: Which Strategy behind Antioxidant Capacity?
Image Watermarking Using Least Significant Bit and Canny Edge Detection.
Impact of Sea Level Rise and Flooding in Two Key Mexican Coastal Cities.
Information technology-based revolution in music education using AHP and TOPSIS.
IoT Enabled Intelligent Stick for Visually Impaired People for Obstacle Recognition.
Lipid Accumulation in HepG2 Cells Is Attenuated by Strawberry Extract through AMPK Activation.
Loss of coastal ecosystem services in Mexico: An approach to economic valuation in the face of sea level rise.
Práctica pedagógica con las TIC: casos de los docentes de los IPES en Camerún.
Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms.
Second Incidental Vocabulary Acquisition in an EFL setting: testing the Involvement Load Hypothesis in secondary school.
Soft Powers and their application as potential and conditioning structures in the development and strengthening of education, culture and identity in Chile.
Strawberry (cv. Romina) Methanolic Extract and Anthocyanin-Enriched Fraction Improve Lipid Profile and Antioxidant Status in HepG2 Cells.
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight.
An enhanced approach for predicting air pollution using quantum support vector machine.
The world’s deadliest outbreak during the COVID-19 Pandemic: A proposed analytical approach to estimate Daily Excess mortality rates in Ecuador.
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Action Research for Implementing Movie-Based Communicative Tasks for Improving the Speaking Skills in an 11th Grade High School B1 EFL Class in Colombia.
An Action Research to Design, Implement and Evaluate a CLIL Communicative and Task-Based Approach Material for a 11th Grade Students with A1 Level of English from a Foundation in Buenaventura, Colombia.
Adherence to the Mediterranean-Style Eating Pattern and Macular Degeneration: A Systematic Review of Observational Studies.
An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring.
Anthocyanins: what do we know until now?
Anti-inflammatory effect of strawberry extract against LPS-induced stress in RAW 264.7 macrophages.
Approach to a Project Framework in the Environment of Sustainability and Corporate Social Responsibility (CSR): Case Study of a Training Proposal to a Group of Students in a Higher Education Institution.
Are by-products from beeswax recycling process a new promising source of bioactive compounds with biomedical properties?
Autophagy in Human Health and Disease: Novel Therapeutic Opportunities.
Chronotype and Cancer: Emerging Relation Between Chrononutrition and Oncology from Human Studies.
Development Agencies and Local Governments—Coexistence within the Same Territory.
Diet, Eating Habits, and Lifestyle Factors Associated with Adequate Sleep Duration in Children and Adolescents Living in 5 Mediterranean Countries: The DELICIOUS Project.
Dietary counseling, meal patterns, and diet quality in patients with type 2 diabetes mellitus with/without chronic kidney disease.
Energy-Aware Live VM Migration Using Ballooning in Cloud Data Center.
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.
Exercise Addiction and Perfectionism, Joint in the Same Path? A Systematic Review.
Flavan-3-ols and Vascular Health: Clinical Evidence and Mechanisms of Action.
Imperative Role of Automation and Wireless Technologies in Aquaponics Farming.
Instrumentalization of a Model for the Evaluation of the Level of Satisfaction of Graduates under an E-Learning Methodology: A Case Analysis Oriented to Postgraduate Studies in the Environmental Field.
Integral model for the resilience of historic centers in coastal cities.
Integration of Sustainable Criteria in the Development of a Proposal for an Online Postgraduate Program in the Projects Area.
Intention to Purchase Foods Based on Insects, Arachnids, and Arthropods, Processed by 3D Printing in Panama Consumers.
La crisis de 2007 en Estados Unidos ¿Desequilibrio entre oferta y demanda o crisis de rentabilidad?
Leadership for Achieving Sustainable Development: Social and Environmental Concerns.
Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region.
Maternal Folic Acid Intake and Methylation Status of Genes Associated with Ventricular Septal Defects in Children: Case–Control Study.
Mediterranean Diet and Quality of Life in Adults: A Systematic Review.
Mediterranean Diet and Sleep Features: A Systematic Review of Current Evidence.
Modelo de comunicación efectiva para la difusión de los programas y proyectos de inversión pública del Departamento de Loreto, Perú.
A Modified Marx Generator Circuit with Enhanced Tradeoff between Voltage and Pulse Width for Electroporation Applications.
Método FORTE v. 1.0: una contribución a la gestión de megaproyectos de ingeniería en Brasil.
Nut Consumption Is Associated with Cognitive Status in Southern Italian Adults.
“Oh, My God! My Season Is Over!” COVID-19 and Regulation of the Psychological Response in Spanish High-Performance Athletes.
A Pilot Study of the Photoprotective Effects of Strawberry-Based Cosmetic Formulations on Human Dermal Fibroblasts.
Polyphenol-Rich Strawberry Extract Protects Human Dermal Fibroblasts against Hydrogen Peroxide Oxidative Damage and Improves Mitochondrial Functionality.
Protective Effect of Strawberry Extract against Inflammatory Stress Induced in Human Dermal Fibroblasts.
Real Time Monitoring of Muscle Fatigue with IoT and Wearable Devices.
Resveratrol and vascular health: evidence from clinical studies and mechanisms of actions related to its metabolites produced by gut microbiota.
Silicon photonics interfaced with microelectronics for integrated photonic quantum technologies: a new era in advanced quantum computers and quantum communications?
Strawberry consumption alleviates doxorubicin-induced toxicity by suppressing oxidative stress.
Strawberry consumption improves aging-associated impairments, mitochondrial biogenesis and functionality through the AMP-activated protein kinase signaling cascade.
Strawberry extracts efficiently counteract inflammatory stress induced by the endotoxin lipopolysaccharide in Human Dermal Fibroblast.
Strawberry-Based Cosmetic Formulations Protect Human Dermal Fibroblasts against UVA-Induced Damage.
Towards Security Mechanism in D2D Wireless Communication: A 5G Network Approach.
A Transfer Learning-Based Artificial Intelligence Model for Leaf Disease Assessment.
Underrated aspects of a true Mediterranean diet: understanding traditional features for worldwide application of a “Planeterranean” diet.
WPAN and IoT Enabled Automation to Authenticate Ignition of Vehicle in Perspective of Smart Cities.
Youth Healthy Eating Index (YHEI) and Diet Adequacy in Relation to Country-Specific National Dietary Recommendations in Children and Adolescents in Five Mediterranean Countries from the DELICIOUS Project.
The healthy effects of strawberry bioactive compounds on molecular pathways related to chronic diseases.
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Analysis of mobile apps for information, prevention and monitoring of covid-19 and proposal of an innovative app in this field.
Comparative Performance Analysis Between Software-Defined Networks and Conventional IP Networks.
Contextual Urdu Lemmatization Using Recurrent Neural Network Models.
Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field.
Design a Model-Based on Nonlinear Multiple Regression to Predict the Level of User Satisfaction when Optimizing a Traditional WLAN Using SDWN.
Do people drive as they live together? Associations between aggressive behaviour on the road and intimate relationships.
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review.
Optimization of a WiFi Wireless Network that Maximizes the Level of Satisfaction of Users and Allows the Use of New Technological Trends in Higher Education Institutions.
PRUS: Product Recommender System Based on User Specifications and Customers Reviews.
SEM model for technological, ecological and inclusive teacher training in times of pandemic.
Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models.
Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.
Which drivers drive as they live and who are transformed while driving? Analysis of moderators in the relationship between general anger and driving anger.
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.
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Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction.
Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing.
Investigation of structural frustration in symmetric diblock copolymers confined in polar discs through cell dynamic simulation.
Obstacle Detection and Warning System for Visually Impaired Using IoT Sensors.
The Quality of Private Higher Education in Mexico: The Case of Culiacán, Sinaloa.
Virtual histopathology methods in medical imaging - a systematic review.
A deep learning approach to optimize remaining useful life prediction for Li-ion batteries.
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Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential.
Desarrollo de un sistema de gestión y control de la calidad de los aceites lubricantes para automóviles aplicable al contexto angoleño.
Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification.
Fabrication of polypyrrole gas sensor for detection of NH3 using an oxidizing agent and pyrrole combinations: Studies and characterizations.
New model, to evaluate the implementation of LMS in institutions at a higher level, through the supplies of the student.
A Novel Approach to Integrating Uncertainty into a Push Re-Label Network Flow Algorithm for Pit Optimization.
A Novel Large-Scale Stochastic Pushback Design Merged with a Minimum Cut Algorithm for Open Pit Mine Production Scheduling.
An Optimized Open Pit Mine Application for Limestone Quarry Production Scheduling to Maximize Net Present Value.
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Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants.
Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment.
Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML.
Correction: Prediction of leukemia peptides using convolutional neural network and protein compositions.
Diagnosing epileptic seizures using combined features from independent components and prediction probability from EEG data.
Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization.
Evaluación de constructividad en Proyectos BIM en Brasil.
Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review.
Hybrid Combination of Network Restructuring and Optimal Placement of Distributed Generators to Reduce Transmission Loss and Improve Flexibility.
A Hybrid Convolutional Neural Network Model for Diagnosis of COVID-19 Using Chest X-ray Images.
An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field.
IoT Fog-Enabled Multi-Node Centralized Ecosystem for Real Time Screening and Monitoring of Health Information.
Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support.
Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation.
Optimal Sizing and Deployment of Renewable Energy Generators in Practical Transmission Network Using Grid-Oriented Multiobjective Harmony Search Algorithm for Loss Reduction and Voltage Profile Improvements.
An Optimized Intelligent Computational Security Model for Interconnected Blockchain-IoT System & Cities.
Prediction of leukemia peptides using convolutional neural network and protein compositions.
Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things.
A Secure and Efficient Signature Scheme for IoT in Healthcare.
A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions.
A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis.
Technologically Advanced Reusable 3D Face Shield for Health Workers Confronting COVID19.
Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement.
Underwater Thermal Energy Harvesting: Frameworks, Challenges, Applications, and Future Investigation.
A deep learning approach for Named Entity Recognition in Urdu language.
A real-time air-writing model to recognize Bengali characters.
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An Action Research for improving listening skills by implementing the use of movie segments in a 2nd EFL Class with BGU students at “Réplica Guayaquil” high school.
Análisis del marco constitucional y normativo para la delegación de puertos marítimos en el Ecuador.
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs.
Clinical phenotypes and short-term outcomes based on prehospital point-of-care testing and on-scene vital signs.
Diseño de un modelo de gestión en la preparación y evaluación de proyectos.
Enhancement of the four academic skills on students from english class at Centro Regional Del Litoral Pacifico.
FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things.
Isoflavones Effects on Vascular and Endothelial Outcomes: How Is the Gut Microbiota Involved?
Measurement of chest muscle mass in COVID-19 patients on mechanical ventilation using tomography.
Principio de tutelaridad protección jurídica preferente ante el menoscabo al derecho del trabajo.
Psychology students' attitudes towards research: the role of critical thinking, epistemic orientation, and satisfaction with research courses.
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An Action Reseach for Implementing CLIL and Task-Based Science Activities for Promoting the Englsih Productive Skills in a Group of Six-Grade Students at a Private International Bilingual School in Cumbayá, Ecuador.
An Action Research for Designing and Implementing an EFL Communicative and Task Based -gn in a Group of 17-25-year-old Students.
An Action Research for increasing students' engagement while implementing collaborative and individual web-based writing tasks in A2-level students (Pre-intermediate) learning EFL online.
Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence Matrix.
Antifragile and Resilient Geographical Information System Service Delivery in Fog Computing.
Análisis de la innovación en los procesos y la productividad respecto al uso de TIC en las empresas panificadoras del Municipio de Campeche, México.
Calculation of Optimal Switching Angles for a Multilevel Inverter Using NR, PSO, and GA- a Comparison.
Clinical Taste Perception Test for Patients With End-Stage Kidney Disease on Dialysis.
Correction to: Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery.
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].
Efficient deep learning-based approach for malaria detection using red blood cell smears.
Factors associated with the perception of resentment towards the Chinese in Latin America during the first wave of the COVID-19 pandemic.
Fear and concern about the outbreak of a world war: validation of an instrument in eight Latin American countries (Third World War scale).
Gestión de herramientas de inteligencia de negocios para el diagnóstico de la categoría comercial de inocuidad en un entorno empresarial ecuatoriano.
Implementación de programas basados en Mindfulness con pacientes con enfermedad mental del centro de rehabilitación psicosocial Padre Menni de Torrelavega.
Implementation of photovoltaic energy, sustainability, economic and social development in a Higher Education Institution in Brazil.
Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare.
Mitigating 5G security challenges for next-gen industry using quantum computing.
Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network.
Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study.
A Prospective Observational Study of Frailty in Geriatric Revitalization Aimed at Community-Dwelling Elderly.
Psychometric Properties of the Emotional Exhaustion Scale (ECE) in Chilean Higher Education Students.
Pupilometer efficacy in monitoring anxiety in undergraduate medical students during high-fidelity clinical simulation.
Reliability and validity of a clinical competence test for dietitians caring patients with early chronic kidney disease.
Threatening URDU Language Detection from Tweets Using Machine Learning.
Transferencia de conocimiento: el caso del grupo Suez y Aguas de Cartagena SAESP “Acuacar”.
Utilization of Stockwell Transform, Support Vector Machine and D-STATCOM for the Identification, Classification and Mitigation of Power Quality Problems.
The genetic aspects of berries: from field to health.
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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.
Effects of a Garlic Hydrophilic Extract Rich in Sulfur Compounds on Redox Biology and Alzheimer's Disease Markers in Caenorhabditis Elegans.
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.
Novel hybrid transfer neural network for wheat crop growth stages recognition using field images.
A research on the overuse of Spanish in the EFL classroom focused on EFL students at superior sublevel From Humberto Vacas Gómez school in Ecuador.
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An Action Research for implementing reading activities and strategies in the 1101 class at Nuestra Señora de Los Dolores School, in Manare Villanueva, Casanare, Colombia.
Análisis crítico sobre el perfil de salida del bachillerato ecuatoriano. Una mirada desde el método de aprendizaje basado en proyectos.
Educación, enseñanza, escuela y educación física: sentidos, relaciones y puntos de encuentros a la luz de la praxis docente.
Efecto del compost de Eichhornia crassipes en la calidad de plantas en vivero de Theobroma cacao.
Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients.
Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients.
Una reflexión sobre la aplicación de métodos restaurativos de resolución de conflictos en la alienación parental.
Willingness to change diet and exercise behavior is associated with better lifestyle in dialysis patients close to a kidney transplant.
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Abuso de la figura del fideicomiso como fuente de pago o garantía con cargo a participaciones federales. Caso del estado de Colima.
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.
Associations between Sleep, Cortisol Regulation, and Diet: Possible Implications for the Risk of Alzheimer Disease.
Can the Functional Physical Fitness of Older People with Overweight or Obesity Be Improved through a Multicomponent Physical Exercise Program? A Chilean Population Study.
Conocimientos, actitudes y prácticas de familias de adolescentes con discapacidad cognitiva en sexualidad y afectividad.
Cytotoxicity and Antimicrobial Resistance of Aeromonas Strains Isolated from Fresh Produce and Irrigation Water.
Effect of Sulfonic Groups Concentration on IEC Properties in New Fluorinated Copolyamides.
Effects of caloric restriction on immunosurveillance, microbiota and cancer cell phenotype: Possible implications for cancer treatment.
Effects of phytochemicals on thyroid function and their possible role in thyroid disease.
Evaluation of Organofunctionalized Polydimethylsiloxane Films for the Extraction of Furanic Compounds.
Incidence of a Multicomponent Physical Exercise Program on Body Composition in Overweight or Obese People Aged 60 Years or Older from Chile.
Is It Possible to Improve the Perceived Quality of Life of Overweight or Obese Older People through a Multicomponent Physical Exercise Program?
Kinetics of the invasion of a non-phagocytic fish cell line, RTG-2 by Yersinia ruckeri serotype O1 biotype 1.
La generación de energía eléctrica de 1996 al 2017 en Guatemala.
La nueva cultura de la madurez mexicana: un plan de desarrollo profesional y acciones estratégicas encaminadas a mejorar el nivel de madurez sobre los profesionistas baja californianos.
Metaheuristic-based optimal energy assessment of hybrid multi-effect evaporator with synergy of solar and wind energy sources.
Modelo estandarizado para la planificación en la ejecución de proyectos que permita mejorar el desempeño de las entidades no lucrativas.
Nutritional patterns associated with the maintenance of neurocognitive functions and the risk of dementia and Alzheimer’s disease: A focus on human studies.
Perceptions from mathematics leaders' faculty at a South Texas University in factors that contribute with drop, fail and withdraw rates in college algebra.
Plant-Based and Plant-Rich Diet Patterns during Gestation: Beneficial Effects and Possible Shortcomings.
Role of gut microbiota and nutrients in amyloid formation and pathogenesis of Alzheimer disease.
Smart Fault Monitoring and Normalizing of a Power Distribution System Using IoT.
Structure and kinetic rigidity of polymers as related to chain relaxations.
Structure effect on mechanical and thermal properties in aromatic copolyamides with phenyl substituents.
Targeting Glioblastoma with the Use of Phytocompounds and Nanoparticles.
Towards Design and Feasibility Analysis of DePaaS: AI Based Global Unified Software Defect Prediction Framework.
The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease.
Wastewater Treatment with Technical Intervention Inclination towards Smart Cities.
A internacionalização em casa na pós-graduação na América Latina e Caribe na modalidade a distância.
The use of natural compounds for the targeting and chemoprevention of ovarian cancer.
The use of plant-derived bioactive compounds to target cancer stem cells and modulate tumor microenvironment.
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Analyzing preventive precautions to limit spread of COVID-19.
Emotion Detection Using Facial Expression Involving Occlusions and Tilt.
Indagación sistémica para la mejora continua de las herramientas de gestión de proyectos: el caso Gestiona de la Universidad Estatal a Distancia.
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An Action Research for Implementing Communicative and Task-Based Activities Integrating ICTs and Online Tools in a Group of EFL B1-level Mexican students.
Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis.
Advancement in medical report generation: current practices, challenges, and future directions.
Analytical, Dynamic, and Interactive Platform for Generation and Managing Predictive Models Focused on Energy Sector.
Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach.
Análisis y mejores prácticas proyectuales de una obra civil hidroeléctrica de Honduras.
An Artificial Neural Network Model for Water Quality and Water Consumption Prediction.
Attitudes and Skills in Basic Life Support after Two Types of Training: Traditional vs. Gamification, of Compulsory Secondary Education Students: A Simulation Study.
A Comparative Study in Entrepreneurship Between South Korea and Colombia.
Comparative analysis of PD-PWM technique in the set: Multilevel Inverter-Induction motor.
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives.
A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud.
Cuadro de mando integral en el sector público: caso de estudio la Gendarmería Nacional Argentina.
Depression Intensity Classification from Tweets Using FastText Based Weighted Soft Voting Ensemble.
A Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images.
Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis.
Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm.
Editorial: Host-bacteria interactions in fish pathogens.
Effect of olive leaf phytochemicals on the anti-acetylcholinesterase, anti-cyclooxygenase-2 and ferric reducing antioxidant capacity.
Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model.
Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models.
Evaluation of depression, anxiety, risky eating behaviors, eating habits and physical activity after the COVID-19 pandemic among adolescents in Mexico City.
Forecasting of Post-Graduate Students’ Late Dropout Based on the Optimal Probability Threshold Adjustment Technique for Imbalanced Data.
From by-products to new application opportunities: the enhancement of the leaves deriving from the fruit plants for new potential healthy products.
Harvesting Scenedesmus obliquus via Flocculation of Moringa oleifera Seed Extract from Urban Wastewater: Proposal for the Integrated Use of Oil and Flocculant.
Impacto de la gamificación con TIC en la enseñanza de las ciencias sociales en estudiantes de cuarto grado de primaria.
Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations.
Improvement of energy conservation using blockchain-enabled cognitive wireless networks for smart cities.
Integrating artificial intelligence to assess emotions in learning environments: a systematic literature review.
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.
Lifestyle Factors Associated with Children’s and Adolescents’ Adherence to the Mediterranean Diet Living in Mediterranean Countries: The DELICIOUS Project.
A Methodological Proposal for Managing Operational Risk by Integrating Agility.
Molecular Interactions between Dietary Lipids and Bone Tissue during Aging.
Molecular Mechanisms of the Protective Effects of Olive Leaf Polyphenols against Alzheimer’s Disease.
The Molecular Weaponry Produced by the Bacterium Hafnia alvei in Foods.
Olive Leaf Extracts With High, Medium, or Low Bioactive Compounds Content Differentially Modulate Alzheimer's Disease via Redox Biology.
Phage Therapy as a Focused Management Strategy in Aquaculture.
Phages and Enzybiotics in Food Biopreservation.
Prediction β-Thalassemia carriers using complete blood count features.
Productivity and Biodiesel Quality of Fatty Acids Contents from Scenedesmus obliquus in Domestic Wastewater Using Phototrophic and Mixotrophic Cultivation Systems.
Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data.
Routing Protocol for MANET Based on QoS-Aware Service Composition with Dynamic Secured Broker Selection.
Software Cost and Effort Estimation: Current Approaches and Future Trends.
Spatio-temporal statistical analysis of PM1 and PM2.5 concentrations and their key influencing factors at Guayaquil city, Ecuador.
Una estrategia metodológica para la optimización de procesos de producción de música POP, basada en modelos computacionales.
Ventilator pressure prediction employing voting regressor with time series data of patient breaths.
White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images.
An improved deep convolutional neural network-based YouTube video classification using textual features.
A research on Teaching Pronunciation and Evaluation in the Public Education System in Ecuador.
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Antimicrobial resistant enteric bacteria are widely distributed among environmental water sources in Dhaka, Bangladesh.
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.
The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment.
An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features.
An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation.
Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning.
A CAD System for Alzheimer’s Disease Classification Using Neuroimaging MRI 2D Slices.
Carotenoids Intake and Cardiovascular Prevention: A Systematic Review.
Categorización de los conflictos organizacionales en embarcaciones de apoyo marítimo brasileñas.
Challenges and opportunities in engineering next-generation 3D microelectronic devices: improved performance and higher integration density.
Changes in the Lifestyle of the Spanish University Population during Confinement for COVID-19.
Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study.
Comparative Analysis of PWM Techniques in the Set: Multilevel Inverter + Induction Motor.
A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health.
Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance.
Deep transfer learning-based bird species classification using mel spectrogram images.
Design of edges in contour and half moons from edaphoclimatic parameters, for the endorrheic basin of lagunas de tajzara - ramsar site 1030.
Determinación del uso del mucilago de nopal en la construcción de la época colonial (caso Convento de San Diego).
Diagnosing Training Needs in European Tourism SMEs: The TC-NAV Project for Managing and Overcoming Virulent Crises.
Digital competencies: perceptions of primary school teachers pursuing master’s degrees from eight African countries.
Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city.
An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network.
Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence.
Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning.
Evaluation of mechanical properties of matrices derived from fish scale collagen.
Evolving epidemiology, clinical features, and genotyping of dengue outbreaks in Bangladesh, 2000–2024: a systematic review.
Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms.
Game-based educational experience in clinical simulation and academic achievement in medical students: a retrospective study.
Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model.
Importancia del cumplimiento normativo en México. Implementación del compliance en las empresas mexicanas.
Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller.
Modelo Pedagógico-terapéutica para atención a la educación especial en Guatemala.
Modelo Teórico para la resolución de conflictos en las compañías navieras brasileñas a través de una constelación organizacional sistémica - una propuesta.
Modelos de gerenciamento de serviços de TIC em escolas particulares na cidade de São Paulo.
Molecular epidemiology, transmission and clinical features of 2022‐mpox outbreak: A systematic review.
Multidrug resistance pattern and molecular epidemiology of pathogens among children with diarrhea in Bangladesh, 2019–2021.
Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN.
Nueva escala de medición de mentalidad fija y aprendiente: desarrollo y validación.
Obtention and characterization of resistant starch from creole faba bean (Vicia faba L. creole) as a promising functional ingredient.
Power Quality Detection and Categorization Algorithm Actuated by Multiple Signal Processing Techniques and Rule-Based Decision Tree.
Prevalence and genetic diversity of rotavirus in Bangladesh during pre-vaccination period, 1973-2023: a meta-analysis.
Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.
A Review of Image Processing Techniques for Deepfakes.
Security Verification of Social Network Model Using Improved Three-Party Authenticated Key Exchange Protocol.
Siamese Convolutional Neural Network-Based Twin Structure Model for Independent Offline Signature Verification.
Side effects associated with homogenous and heterogenous doses of Oxford–AstraZeneca vaccine among adults in Bangladesh: an observational study.
Side effects associated with homogenous and heterogenous doses of Oxford–AstraZeneca vaccine among adults in Bangladesh: an observational study.
Spare Parts Forecasting and Lumpiness Classification Using Neural Network Model and Its Impact on Aviation Safety.
Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI.
A Systematic Review and Meta-Analysis of Premenstrual Syndrome with Special Emphasis on Herbal Medicine and Nutritional Supplements.
Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape.
Teeth Lesion Detection Using Deep Learning and the Internet of Things Post-COVID-19.
Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.
Urban Solid Waste Characterization of the Misiones Metropolitan Area.
The Use of Marble Dust, Bagasse Ash, and Paddy Straw to Improve the Water Absorption and Linear Shrinkage of Unfired Soil Block for Structure Applications.
Visualization of Customized Convolutional Neural Network for Natural Language Recognition.
Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches.
Wireless Body Area Routing Protocols Impact Analysis on Entity Mobility Models with Static Sink Node.
An action research for implementing task-based creative writing activities in an EFL 11th grade class at Colegio Antonio Nariño, in Colombia.
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.
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Current- and Voltage-Actuated Transmission Line Protection Scheme Using a Hybrid Combination of Signal Processing Techniques.
Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model.
Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crop Using Leaf Images.
O acesso à educação infantil no estado de Mato Grosso–Brasil: ao final do Plano Nacional de Educação (2014-2024).
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Analyzing patients satisfaction level for medical services using twitter data.
Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve.
StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides.
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Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico.
A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle.
Detection of Upper Limb Asymmetries in Athletes According to the Stage of the Season—A Longitudinal Study.
Función del estilo de aprendizaje en el rendimiento académico de los estudiantes de Administración y Negocios Internacionales en una institución universitaria en Perú.
IoT-Inspired Reliable Irregularity-Detection Framework for Education 4.0 and Industry 4.0.
Liderazgo y éxito organizacional con el modelo ISO 9001.
Tensiomyography, functional movement screen and counter movement jump for the assessment of injury risk in sport: a systematic review of original studies of diagnostic tests.
The effects of WebQuests in a EFL remote classroom: a Learning Constructivist strategy.
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El foro virtual como impulsor de la experiencia de aprendizaje.
An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling.
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.
Hybridizing Artificial Intelligence Algorithms for Forecasting of Sediment Load with Multi-Objective Optimization.
Suspended Sediment Yield Forecasting with Single and Multi-Objective Optimization Using Hybrid Artificial Intelligence Models.
Upholding or Breaking the Law of Superposition in Pharmacokinetics.
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An Action Research for Implementing Teaching Proficiency through Reading and Storytelling (TPRS) for developing vocabulary in a group of EFL students from the Faculty of Chemistry at University of Guayaquil.
Exploring body composition and somatotype profiles among youth professional soccer players.
Secure Data Management Life Cycle for Government Big-Data Ecosystem: Design and Development Perspective.
Un problema en los PPA de contratos de suministro de energía eléctrica, la indexación.
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Factores de éxito de MIPYMES del sector salud, ciudad de Huancayo--Perú, 2020.
<a href="/17788/1/s40537-025-01167-w.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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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis
The proliferation of damaging content on social media in today’s digital environment has increased the need for efficient hate speech identification systems. A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. Unlike previous research focusing on single modalities, our study thoroughly examines hate speech identification across multiple forms. We classify the numerous types of hate speech, showing how it appears on different platforms and emphasizing the unique difficulties in multi-modal and multilingual settings. We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.
Hafiz Muhammad Raza Ur Rehman mail , Mahpara Saleem mail , Muhammad Zeeshan Jhandir mail , Eduardo René Silva Alvarado mail eduardo.silva@funiber.org, Helena Garay mail helena.garay@uneatlantico.es, Imran Ashraf mail ,
Raza Ur Rehman
<a href="/17794/1/s41598-025-95836-8.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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Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. This study presents a systematic literature review (SLR) of deep learning applications for solar PV forecasting, addressing a gap in the existing literature, which often focuses on traditional ML or broader renewable energy applications. This review specifically aims to identify the DL architectures employed, preprocessing and feature engineering techniques used, the input features leveraged, evaluation metrics applied, and the persistent challenges in this field. Through a rigorous analysis of 26 selected papers from an initial set of 155 articles retrieved from the Web of Science database, we found that Long Short-Term Memory (LSTM) networks were the most frequently used algorithm (appearing in 32.69% of the papers), closely followed by Convolutional Neural Networks (CNNs) at 28.85%. Furthermore, Wavelet Transform (WT) was found to be the most prominent data decomposition technique, while Pearson Correlation was the most used for feature selection. We also found that ambient temperature, pressure, and humidity are the most common input features. Our systematic evaluation provides critical insights into state-of-the-art DL-based solar forecasting and identifies key areas for upcoming research. Future research should prioritize the development of more robust and interpretable models, as well as explore the integration of multi-source data to further enhance forecasting accuracy. Such advancements are crucial for the effective integration of solar energy into future power grids.
Oussama Khouili mail , Mohamed Hanine mail , Mohamed Louzazni mail , Miguel Ángel López Flores mail miguelangel.lopez@uneatlantico.es, Eduardo García Villena mail eduardo.garcia@uneatlantico.es, Imran Ashraf mail ,
Khouili
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Measurement of chest muscle mass in COVID-19 patients on mechanical ventilation using tomography
Background: Sarcopenia, characterized by a reduction in skeletal muscle mass and function, is a prevalent complication in the Intensive Care Unit (ICU) and is related to increased mortality. This study aims to determine whether muscle and fat mass measurements at the T12 and L1 vertebrae using chest tomography can predict mortality among critically ill COVID-19 patients requiring invasive mechanical ventilation (MV). Methods: Fifty-one critically ill COVID-19 patients on MV underwent chest tomography within 72 h of ICU admission. Muscle mass was measured using the Core Slicer program. Results: After adjustment for potential confounding factors related to background and clinical parameters, a 1-unit increase in muscle mass, subcutaneous, and intra-abdominal fat mass at the L1 level was associated with approximately 1–2% lower odds of negative outcomes and in-hospital mortality. No significant association was found between muscle mass at the T12 level and patient outcomes. Furthermore, no significant results were observed when considering a 1-standard deviation increase as the exposure variable. Conclusion: Measuring muscle mass using chest tomography at the T12 level does not effectively predict outcomes for ICU patients. However, muscle and fat mass at the L1 level may be associated with a lower risk of negative outcomes. Additional studies should explore other potential markers or methods to improve prognostic accuracy in this critically ill population.
Natalia Daniela Llobera mail , Evelyn Frias-Toral mail , Mariel Aquino mail , María Jimena Reberendo mail , Laura Cardona Díaz mail , Adriana García mail , Martha Montalván mail , Álvaro Velarde Sotres mail alvaro.velarde@uneatlantico.es, Sebastián Chapela mail ,
Llobera
<a href="/17569/1/Food%20Frontiers%20-%202025%20-%20Romero%E2%80%90Marquez%20-%20Olive%20Leaf%20Extracts%20With%20High%20%20Medium%20%20or%20Low%20Bioactive%20Compounds%20Content.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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Alzheimer's disease (AD) involves β-amyloid plaques and tau hyperphosphorylation, driven by oxidative stress and neuroinflammation. Cyclooxygenase-2 (COX-2) and acetylcholinesterase (AChE) activities exacerbate AD pathology. Olive leaf (OL) extracts, rich in bioactive compounds, offer potential therapeutic benefits. This study aimed to assess the anti-inflammatory, anti-cholinergic, and antioxidant effects of three OL extracts (low, mid, and high bioactive content) in vitro and their protective effects against AD-related proteinopathies in Caenorhabditis elegans models. OL extracts were characterized for phenolic composition, AChE and COX-2 inhibition, as well as antioxidant capacity. Their effects on intracellular and mitochondrial reactive oxygen species (ROS) were tested in C. elegans models expressing human Aβ and tau proteins. Gene expression analyses examined transcription factors (DAF-16, skinhead [SKN]-1) and their targets (superoxide dismutase [SOD]-2, SOD-3, GST-4, and heat shock protein [HSP]-16.2). High-OL extract demonstrated superior AChE and COX-2 inhibition and antioxidant capacity. Low- and high-OL extracts reduced Aβ aggregation, ROS levels, and proteotoxicity via SKN-1/NRF-2 and DAF-16/FOXO pathways, whereas mid-OL showed moderate effects through proteostasis modulation. In tau models, low- and high-OL extracts mitigated mitochondrial ROS levels via SOD-2 but had limited effects on intracellular ROS levels. High-OL extract also increased GST-4 levels, whereas low and mid extracts enhanced GST-4 levels. OL extracts protect against AD-related proteinopathies by modulating oxidative stress, inflammation, and proteostasis. High-OL extract showed the most promise for nutraceutical development due to its robust phenolic profile and activation of key antioxidant pathways. Further research is needed to confirm long-term efficacy.
Jose M. Romero‐Marquez mail , María D. Navarro‐Hortal mail , Alfonso Varela‐López mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Juan G. Puentes mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Jianbo Xiao mail , Roberto García‐Ruiz mail , Sebastián Sánchez mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
Romero‐Marquez
<a class="ep_document_link" href="/17570/1/eFood%20-%202025%20-%20Navarro%E2%80%90Hortal%20-%20Effects%20of%20a%20Garlic%20Hydrophilic%20Extract%20Rich%20in%20Sulfur%20Compounds%20on%20Redox%20Biology%20and.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Garlic is a horticultural product highly valued for its culinary and medicinal attributes. The aim of this study was to evaluate the composition of a garlic hydrophilic extract as well as the influence on redox biology, Alzheimer's Disease (AD) markers and aging, using Caenorhabditis elegans as experimental model. The extract was rich in sulfur compounds, highlighting the presence of other compounds like phenolics, and the antioxidant property was corroborated. Regarding AD markers, the acetylcholinesterase inhibitory capacity was demonstrated in vitro. Although the extract did not modify the amyloid β-induced paralysis degree, it was able to improve, in a dose-dependent manner, some locomotive parameters affected by the hyperphosphorylated tau protein in C. elegans. It could be related to the effect found on GFP-transgenic stains, mainly regarding to the increase in the gene expression of HSP-16.2. Moreover, an initial investigation into the aging process revealed that the extract successfully inhibited the accumulation of intracellular and mitochondrial reactive oxygen species in aged worms. These results provide valuable insights into the multifaceted impact of garlic extract, particularly in the context of aging and neurodegenerative processes. This study lays a foundation for further research avenues exploring the intricate molecular mechanisms underlying garlic effects and its translation into potential therapeutic interventions for age-related neurodegenerative conditions.
María D. Navarro‐Hortal mail , Jose M. Romero‐Marquez mail , Johura Ansary mail , Cristina Montalbán‐Hernández mail , Alfonso Varela‐López mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Jianbo Xiao mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
Navarro‐Hortal