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Number of items: 7.

Article

Article Subjects > Psychology Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Many earlier studies conducted on sports betting and addiction have examined sports betting in the context of gambling and have not taken into account the specific motivations of sports betting. Therefore, the effects of motivational elements of sports betting on sports betting addiction risk are unknown. The aim of the present study was to examine the effects of motivation factors specific to sports betting on sports betting addiction. Accordingly, three linked studies were conducted. Firstly, to determine sports betting motivations “Sports Betting Motivation Scale (SBMS)” developed and validated. Secondly, to determine the risks of sports betting addiction “Problem Sports Betting Severity Index (PSBSI)” was adapted from Problem Gambling Severity Index (PGSI). Finally, the third study examined effects of the sports betting motivations on sports betting addiction risk. Study one (n=281), study two comprised (n=230), and the final study comprised (n=643) sports fans who bet on sports regularly for 12 months with different motivations. The findings demonstrate that the SBMS appears to be a reliable and valid instrument for assessing sports betting motivations. Also, the findings provided PSBSI validity for the use of the Turkish and sports betting adapted version of PGSI. As a result of the main research, “make money,” “socialization,” and “being in the game” motivations were found to be positive predictors of sports betting addiction risk, while “fun” motivation was a negative predictor. The motivations “recreation/escape,” “knowledge of the game,” and “interest in sport” were found not to be significant predictors of the risk of sports betting addiction. metadata Gökce Yüce, Sevda and Yüce, Arif and Katırcı, Hakan and Nogueira-López, Abel and González-Hernández, Juan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, abel.nogueira@uneatlantico.es, UNSPECIFIED (2021) Effects of Sports Betting Motivations on Sports Betting Addiction in a Turkish Sample. International Journal of Mental Health and Addiction. ISSN 1557-1874

Article Subjects > Engineering Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
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 > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Smart vehicle parking is a collaborative effort of technology and human innovation where the efforts are to be minimized to save time and efforts. In smart cities it is one of the common challenges to introduce smart parking to increase parking efficiency and combat numerous issues like identification of free parking slot and real-time dynamic updation on traffic to save fuel and energy. In this work, a new cloud-based smart parking architecture is proposed that can help in predicting the available free parking slots in smart cities. Initially, the methodology collects the car count at any near by parking using Internet of Things (IoT) and Cloud-based approach. Later, the approach uses the Kernel Least Mean Square algorithm to make heuristic predictions about future vacancy using auto-regression. The proposed approach thus utilizes the online learning or model training. To validate the efficacy of the proposed work, the testing is done on the real-time dataset. The extensive numerical investigation is performed on parking lots of four international airports of a smart city in actual deployment scenarios. The experimentation has revealed superior performance of the method in terms of vacancy prediction. metadata Anand, Divya and Singh, Aman and Alsubhi, Khalid and Goyal, Nitin and Abdrabou, Atef and Vidyarthi, Ankit and Rodrigues, Joel J. P. C. mail divya.anand@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Smart Cloud and IoVT-Based Kernel Adaptive Filtering Framework for Parking Prediction. IEEE Transactions on Intelligent Transportation Systems. pp. 1-9. ISSN 1524-9050

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés In the last decade, specific dietary patterns, mainly characterized by high consumption of vegetables and fruits, have been proven beneficial for the prevention of both metabolic syndrome (MetS)-related dysfunctions and neurodegenerative disorders, such as Alzheimer’s disease (AD). Nowadays, neuroimaging readouts can be used to diagnose AD, investigate MetS effects on brain functionality and anatomy, and assess the effects of dietary supplementations and nutritional patterns in relation to neurodegeneration and AD-related features. Here we review scientific literature describing the use of the most recent neuroimaging techniques to detect AD- and MetS-related brain features, and also to investigate associations between consolidated dietary patterns or nutritional interventions and AD, specifically focusing on observational and intervention studies in humans. metadata Pistollato, Francesca and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Masías Vergara, Manuel and Giampieri, Francesca and Battino, Maurizio mail francesca.pistollato@uneatlantico.es, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, manuel.masias@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2015) The Use of Neuroimaging to Assess Associations Among Diet, Nutrients, Metabolic Syndrome, and Alzheimer’s Disease. Journal of Alzheimer's Disease, 48 (2). pp. 303-318. ISSN 13872877

Thesis

Thesis Subjects > Social Sciences Ibero-american International University > Research > Doctoral Thesis Cerrado Español La presente tesis doctoral pretende abordar un problema de base que es la falta de cultura emprendedora entre los jóvenes universitarios, por lo que se subraya la necesidad de fomentar aptitudes transversales de alta calidad a fin de que los alumnos puedan desarrollar capacidades emprendedoras. Esto se traduce en una serie de interrogantes sobre las habilidades críticas para el emprendimiento adquiridas por el alumnado universitario. Sin duda, estas interrogantes conducen a pensar en la oportunidad que supone plantear una investigación al respecto. Por tanto, el objetivo general de los estudios llevados a cabo como parte de esta tesis consiste en identificar el nivel de desarrollo de la cultura emprendedora que existe en la universidad española, mientras que los objetivos específicos se enfocan en la evaluación y el análisis de las competencias específicas. Concretamente, se plantean tres estudios empíricos centrados en el diagnóstico de las habilidades consideradas como esenciales en el emprendimiento entre el alumnado español universitario: (1) trabajo colaborativo, (2) liderazgo y motivación y (3) creatividad e innovación. La metodología aplicada es el modelo Rasch que permite análisis probabilístico del rasgo latente, que es difícil observar. Además, presenta una serie de resultados a partir la medición conjunta de ítems, en función del grado de dificultad, y sujetos, en función de su nivel de habilidad. Las muestras, para las que se aplica la técnica por conveniencia, se extraen de la población de la Universidad Europea del Atlántico (UNEATLANTICO), ubicada en Santander (Norte de España). Los resultados esperados apuntan a que el alumnado no priorice la formación de equipos heterogéneos y muestre ciertas carencias durante el desarrollo de proyectos colaborativos respecto a la comunicación y el liderazgo de equipos. Asimismo, los niveles de motivación, implicación en el trabajo e innovación serían bajos, aunque puede que las habilidades creativas estén más desarrolladas que las anteriores. En respuesta al diagnóstico obtenido, se plantea una propuesta piloto de desarrollo de proyectos emprendedores entre el alumnado universitario. metadata Alexeeva-Alexeev, Inna mail inna.alexeeva@uneatlantico.es (2021) Diseño de una propuesta piloto para el desarrollo de proyectos emprendedores dirigidos al alumnado universitario: caso de investigación en la universidad española. Doctoral thesis, Universidad Internacional Iberoamericana México.

Thesis Subjects > Teaching Ibero-american International University > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español El liderazgo y la gestión de talento humano es considerada como la piedra angular de las instituciones educativas, es la responsable de proponer y establecer estrategias, que ayuden a dinamizar los procesos a fin de mejorar el nivel de desempeño, donde se establecen funciones que favorecen el manejo, ejecución y dirección que permitan mejorar la calidad de los procesos dentro del sistema educativo. En este estudio se plantea como objetivo general Elaborar un manual de procedimientos para una gestión de calidad del talento humano en la Unidad Educativa Básica Gonzalo Benítez Gómez de la ciudad de Durán. Para su desarrollo se empleó un estudio de tipo descriptivo, con un enfoque de investigación cualitativo, dentro de este contexto, el presente estudio corresponde a un diseño no experimental de tipo transversal, debido a que se manipularan variables con el uso de encuestas dirigida a las autoridades, personal administrativo y docentes donde se utilizó como instrumento para la recolección de la información un cuestionario ad-hoc de modalidad on line elaborado en Google Form. Donde se pudo establecer que el 50% de los encuestados determinó que una de las características básicas de los lideres educativos es que necesitan actualizarse constantemente y tener dominio de la ciencia y la tecnología, el 65% estableció que la calidad educativa exige que un líder sea dinámico y que favorezca el logro de objetivos institucionales provistos, el 45% indicó que es fundamental que un líder oriente a los docentes a la elaboración de proyectos innovadores que fomenten el desarrollo institucional a fin de fortalecer la enseñanza aprendizaje, lo que permitió desarrollar el manual de procedimiento para poder dinamizar una gestión educativa. Concluyendo que es esencial la presencia de un líder educativo dentro de la institución, siendo fundamental el establecimiento de la gestión de talento humano dentro del centro educativo, que por medio de la aplicación del manual de procedimientos desarrollado en este estudio se pueda direccionar a la Unidad Educativa Básica Gonzalo Benítez Gómez de la ciudad de Durán a mejorar la calidad de la educación de forma eficiente e innovadora. metadata Yepez Sanchez, Natalia Bethsabe mail natasha3274@hotmail.com (2022) Liderazgo y Gestión de Talento Humano para la Organización y Gestión de Centros Educativos. Masters thesis, UNSPECIFIED.

Other

Other Subjects > Engineering Europe University of Atlantic > Research > Projects I+D+I
Fundación Universitaria Internacional de Colombia > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Ibero-american International University > Research > Projects I+D+I
Universidad Internacional do Cuanza > Research > Projects I+D+I
Cerrado Español "La actividad de I+D que se propone se orienta a desarrollar un módulo informático que permita la gestión indexada del material audiovisual que puede complementar al contenido en las revistas digitales. Además, se crea un sistema de métricas empleando tecnologías de inteligencia de negocio (business intelligence). Los objetivos específicos de la actividad de I+D son: 1. Definir un estándar adecuado para definir los metadatos relacionados con recursos audiovisuales contenidos y gestionados por una plataforma digital de una revista científica o editorial. 2. Desarrollar una solución para crear un canal de consulta de recursos audiovisuales (artículos y revistas) contenidos en una plataforma digital. 3. Construir un prototipo experimental que incluya la funcionalidad de la gestión indexada del recurso audiovisual. 4. Proponer un sistema de métricas empleando tecnologías relacionadas con la inteligencia de negocio (business intelligence) a partir de las estadísticas que se generan en el sistema. " metadata Alas Castaneda, Loyda Leticia and Multi-Lingual Scientific Journals, (MLS) mail UNSPECIFIED, mls@devnull.funiber.org (2021) Desarrollo de un prototipo digital para la gestión de recursos audiovisuales. Repositorio de la Universidad. (Unpublished)

This list was generated on Fri Dec 2 23:40:36 2022 UTC.

<a href="/512/1/43.%20qCOVID%20vs%20NEWS.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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One-on-one comparison between qCSI and NEWS scores for mortality risk assessment in patients with COVID-19

Objective To compare the predictive value of the quick COVID-19 Severity Index (qCSI) and the National Early Warning Score (NEWS) for 90-day mortality amongst COVID-19 patients. Methods Multicenter retrospective cohort study conducted in adult patients transferred by ambulance to an emergency department (ED) with suspected COVID-19 infection subsequently confirmed by a SARS-CoV-2 test (polymerase chain reaction). We collected epidemiological data, clinical covariates (respiratory rate, oxygen saturation, systolic blood pressure, heart rate, temperature, level of consciousness and use of supplemental oxygen) and hospital variables. The primary outcome was cumulative all-cause mortality during a 90-day follow-up, with mortality assessment monitoring time points at 1, 2, 7, 14, 30 and 90 days from ED attendance. Comparison of performances for 90-day mortality between both scores was carried out by univariate analysis. Results From March to November 2020, we included 2,961 SARS-CoV-2 positive patients (median age 79 years, IQR 66–88), with 49.2% females. The qCSI score provided an AUC ranging from 0.769 (1-day mortality) to 0.749 (90-day mortality), whereas AUCs for NEWS ranging from 0.825 for 1-day mortality to 0.777 for 90-day mortality. At all-time points studied, differences between both scores were statistically significant (p < .001). Conclusion Patients with SARS-CoV-2 can rapidly develop bilateral pneumonias with multiorgan disease; in these cases, in which an evacuation by the EMS is required, reliable scores for an early identification of patients with risk of clinical deterioration are critical. The NEWS score provides not only better prognostic results than those offered by qCSI at all the analyzed time points, but it is also better suited for COVID-19 patients.

Producción Científica

Francisco Martín-Rodríguez mail , Ancor Sanz-García mail , Guillermo J. Ortega mail , Juan F. Delgado-Benito mail , Eduardo Garcia Villena mail eduardo.garcia@uneatlantico.es, Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Raúl López-Izquierdo mail , Miguel A. Castro Villamor mail ,

Martín-Rodríguez

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FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things

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.

Producción Científica

Xi Lin mail , Jun Wu mail , Ali Kashif Bashir mail , Wu Yang mail , Aman Singh mail aman.singh@uneatlantico.es, Ahmad Ali AlZubi mail ,

Lin

<a class="ep_document_link" href="/3058/1/socsci-11-00334.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Inequalities and Asymmetries in the Development of Angola’s Provinces: The Impact of Colonialism and Civil War

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.

Producción Científica

João Adolfo Catoto Capitango mail , Mirtha Silvana Garat de Marin mail silvana.marin@uneatlantico.es, Emmanuel Soriano Flores mail emmanuel.soriano@uneatlantico.es, Marco Antonio Rojo Gutiérrez mail marco.rojo@unini.edu.mx, Mónica Gracia Villar mail monica.gracia@uneatlantico.es, Frigdiano Álvaro Durántez Prados mail durantez@uneatlantico.es,

Catoto Capitango

<a class="ep_document_link" href="/3480/1/cancers-14-03914-v2.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>

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Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques

Thyroid disease prediction has emerged as an important task recently. Despite existing approaches for its diagnosis, often the target is binary classification, the used datasets are small-sized and results are not validated either. Predominantly, existing approaches focus on model optimization and the feature engineering part is less investigated. To overcome these limitations, this study presents an approach that investigates feature engineering for machine learning and deep learning models. Forward feature selection, backward feature elimination, bidirectional feature elimination, and machine learning-based feature selection using extra tree classifiers are adopted. The proposed approach can predict Hashimoto’s thyroiditis (primary hypothyroid), binding protein (increased binding protein), autoimmune thyroiditis (compensated hypothyroid), and non-thyroidal syndrome (NTIS) (concurrent non-thyroidal illness). Extensive experiments show that the extra tree classifier-based selected feature yields the best results with 0.99 accuracy and an F1 score when used with the random forest classifier. Results suggest that the machine learning models are a better choice for thyroid disease detection regarding the provided accuracy and the computational complexity. K-fold cross-validation and performance comparison with existing studies corroborate the superior performance of the proposed approach.

Producción Científica

Rajasekhar Chaganti mail , Furqan Rustam mail , Isabel De La Torre Díez mail , Juan Luis Vidal Mazón mail juanluis.vidal@uneatlantico.es, Carmen Lilí Rodríguez Velasco mail carmen.rodriguez@uneatlantico.es, Imran Ashraf mail ,

Chaganti

<a href="/3487/1/s41598-022-16916-7.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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Improvement of energy conservation using blockchain-enabled cognitive wireless networks for smart cities

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.

Producción Científica

Shalli Rani mail , Himanshi Babbar mail , Syed Hassan Ahmed Shah mail , Aman Singh mail aman.singh@uneatlantico.es,

Rani