Estrategia metodológica para la gestión del conocimiento organizacional soportado por las TIC utilizando un entorno virtual de trabajo colaborativo (EVTC). Caso : área de seguridad y salud ocupacional (SySO) en empresa cooperativa industrial
Tesis Materias > Ingeniería Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Español En la actualidad existe una oportunidad para las organizaciones a partir de las capacitaciones que ellas deben brindar en diversas áreas, con énfasis en Seguridad y Salud Ocupacional (SySO) –área no excluyente-. Por diversos motivos (que atraviesan el desconocimiento general, como las formas de implementación y seguimiento) los profesionales encargados de brindarlas y los gerentes no toman las acciones necesarias encaminadas a innovar en esta cuestión, desaprovechando así el auge propiciado por el desarrollo y la accesibilidad tecnológica actual. ¿Podría una organización beneficiarse a partir de la conformación de un Entorno Virtual de Trabajo Colaborativo (EVTC) que incorpore un modelo de enseñanza dinámico que incluya instrumentos, métodos y procedimientos soportados por las Tecnologías de la Información y Comunicación (TIC) junto al conocimiento teórico necesario de diversos paradigmas educativos y herramientas que potencien la transmisión del conocimiento y genere resultados sinérgicos para todos los actores? Para demostrarlo, se propone una modalidad de diseño metodológico enfocada a un experimento denominado puro o verdadero, que se nutrirá de un estudio de campo conceptualizado, definido, creado e implementado ad hoc en una Cooperativa ubicada en la ciudad de Concordia, Argentina para con éste obtener respuestas que permitan demostrar la correlación existente entre una correcta conformación de un EVTC que incluya un modelo de aprendizaje soportado por las TIC y la obtención de beneficios multifactoriales producto del manejo racional del conocimiento. Logrado comprobar lo antes expuesto, y a partir de la nueva oportunidad generada, se describirán alternativas para aquellas organizaciones que decidan continuar su camino evolutivo en el manejo del conocimiento a partir de la implementación y conformación de un modelo de Gestión del Conocimiento que requiere una especial atención a factores internos que involucre a todos los estamentos y sectores de la organización. El atravesamiento de los niveles madurativos organizacionales del uso del conocimiento otorgará beneficios aditivos en el corto o mediano plazo y sinérgicos en el largo plazo dependiendo la forma, velocidad y nivel de implementación de las actividades nucleadas y descriptas a partir de la descomposición en objetivos de la solución ofrecida de esta investigación que se nutre de la innovación como motor y que busca como fin la mejora en la competitividad como herramienta de entropía negativa. metadata Mazzetto, Matías Ariel mail mmazeto@yahoo.com (2017) Estrategia metodológica para la gestión del conocimiento organizacional soportado por las TIC utilizando un entorno virtual de trabajo colaborativo (EVTC). Caso : área de seguridad y salud ocupacional (SySO) en empresa cooperativa industrial. Doctoral thesis, Universidad Internacional Iberoamericana.
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En la actualidad existe una oportunidad para las organizaciones a partir de las capacitaciones que ellas deben brindar en diversas áreas, con énfasis en Seguridad y Salud Ocupacional (SySO) –área no excluyente-. Por diversos motivos (que atraviesan el desconocimiento general, como las formas de implementación y seguimiento) los profesionales encargados de brindarlas y los gerentes no toman las acciones necesarias encaminadas a innovar en esta cuestión, desaprovechando así el auge propiciado por el desarrollo y la accesibilidad tecnológica actual. ¿Podría una organización beneficiarse a partir de la conformación de un Entorno Virtual de Trabajo Colaborativo (EVTC) que incorpore un modelo de enseñanza dinámico que incluya instrumentos, métodos y procedimientos soportados por las Tecnologías de la Información y Comunicación (TIC) junto al conocimiento teórico necesario de diversos paradigmas educativos y herramientas que potencien la transmisión del conocimiento y genere resultados sinérgicos para todos los actores? Para demostrarlo, se propone una modalidad de diseño metodológico enfocada a un experimento denominado puro o verdadero, que se nutrirá de un estudio de campo conceptualizado, definido, creado e implementado ad hoc en una Cooperativa ubicada en la ciudad de Concordia, Argentina para con éste obtener respuestas que permitan demostrar la correlación existente entre una correcta conformación de un EVTC que incluya un modelo de aprendizaje soportado por las TIC y la obtención de beneficios multifactoriales producto del manejo racional del conocimiento. Logrado comprobar lo antes expuesto, y a partir de la nueva oportunidad generada, se describirán alternativas para aquellas organizaciones que decidan continuar su camino evolutivo en el manejo del conocimiento a partir de la implementación y conformación de un modelo de Gestión del Conocimiento que requiere una especial atención a factores internos que involucre a todos los estamentos y sectores de la organización. El atravesamiento de los niveles madurativos organizacionales del uso del conocimiento otorgará beneficios aditivos en el corto o mediano plazo y sinérgicos en el largo plazo dependiendo la forma, velocidad y nivel de implementación de las actividades nucleadas y descriptas a partir de la descomposición en objetivos de la solución ofrecida de esta investigación que se nutre de la innovación como motor y que busca como fin la mejora en la competitividad como herramienta de entropía negativa.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | SySO, Entorno Virtual de Trabajo Colaborativo, TIC, Aprendizaje Organizacional, Sistema de Gestión del Conocimiento |
| Clasificación temática: | Materias > Ingeniería |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 01 Feb 2022 23:55 |
| Ultima Modificación: | 01 Feb 2022 23:55 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/450 |
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A systematic review of deep learning methods for community detection in social networks
Introduction: The rapid expansion of generated data through social networks has introduced significant challenges, which underscores the need for advanced methods to analyze and interpret these complex systems. Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns. Methods: In this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. A total of 19 studies were carefully selected from reputable databases, including the ACM Library, Springer Link, Scopus, Science Direct, and IEEE Xplore. This review investigates the employed methodologies, evaluates their effectiveness, and discusses the challenges identified in these works. Results: Our review shows that models like graph neural networks (GNNs), autoencoders, and convolutional neural networks (CNNs) are some of the most commonly used approaches for community detection. It also examines the variety of social networks, datasets, evaluation metrics, and employed frameworks in these studies. Discussion: However, the analysis highlights several challenges, such as scalability, understanding how the models work (interpretability), and the need for solutions that can adapt to different types of networks. These issues stand out as important areas that need further attention and deeper research. This review provides meaningful insights for researchers working in social network analysis. It offers a detailed summary of recent developments, showcases the most impactful deep learning methods, and identifies key challenges that remain to be explored.
Mohamed El-Moussaoui mail , Mohamed Hanine mail , Ali Kartit mail , Mónica Gracia Villar mail monica.gracia@uneatlantico.es, Helena Garay mail helena.garay@uneatlantico.es, Isabel de la Torre Díez mail ,
El-Moussaoui
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Association between blood cortisol levels and numerical rating scale in prehospital pain assessment
Background Nowadays, there is no correlation between levels of cortisol and pain in the prehospital setting. The aim of this work was to determine the ability of prehospital cortisol levels to correlate to pain. Cortisol levels were compared with those of the numerical rating scale (NRS). Methods This is a prospective observational study looking at adult patients with acute disease managed by Emergency Medical Services (EMS) and transferred to the emergency department of two tertiary care hospitals. Epidemiological variables, vital signs, and prehospital blood analysis data were collected. A total of 1516 patients were included, the median age was 67 years (IQR: 51–79; range: 18–103) with 42.7% of females. The primary outcome was pain evaluation by NRS, which was categorized as pain-free (0 points), mild (1–3), moderate (4–6), or severe (≥7). Analysis of variance, correlation, and classification capacity in the form area under the curve of the receiver operating characteristic (AUC) curve were used to prospectively evaluate the association of cortisol with NRS. Results The median NRS and cortisol level are 1 point (IQR: 0–4) and 282 nmol/L (IQR: 143–433). There are 584 pain-free patients (38.5%), 525 mild (34.6%), 244 moderate (16.1%), and 163 severe pain (10.8%). Cortisol levels in each NRS category result in p < 0.001. The correlation coefficient between the cortisol level and NRS is 0.87 (p < 0.001). The AUC of cortisol to classify patients into each NRS category is 0.882 (95% CI: 0.853–0.910), 0.496 (95% CI: 0.446–0.545), 0.837 (95% CI: 0.803–0.872), and 0.981 (95% CI: 0.970–0.991) for the pain-free, mild, moderate, and severe categories, respectively. Conclusions Cortisol levels show similar pain evaluation as NRS, with high-correlation for NRS pain categories, except for mild-pain. Therefore, cortisol evaluation via the EMS could provide information regarding pain status.
Raúl López-Izquierdo mail , Elisa A. Ingelmo-Astorga mail , Carlos del Pozo Vegas mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Silvia Aparicio Obregón mail silvia.aparicio@uneatlantico.es, Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Ancor Sanz-García mail , Francisco Martín-Rodríguez mail ,
López-Izquierdo
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Botnet detection in internet of things using stacked ensemble learning model
Botnets are used for malicious activities such as cyber-attacks, spamming, and data theft and have become a significant threat to cyber security. Despite existing approaches for cyber attack detection, botnets prove to be a particularly difficult problem that calls for more advanced detection methods. In this research, a stacking classifier is proposed based on K-nearest neighbor, support vector machine, decision tree, random forest, and multilayer perceptron, called KSDRM, for botnet detection. Logistic regression acts as the meta-learner to combine the predictions from the base classifiers into the final prediction with the aim of increasing the overall accuracy and predictive performance of the ensemble. The UNSW-NB15 dataset is used to train machine learning models and evaluate their effectiveness in detecting cyber-attacks on IoT networks. The categorical features are transformed into numerical values using label encoding. Machine learning techniques are adopted to recognize botnet attacks to enhance cyber security measures. The KSDRM model successfully captures the complex patterns and traits of botnet attacks and obtains 99.99% training accuracy. The KSDRM model also performs well during testing by achieving an accuracy of 97.94%. Based on 3, 5, 7, and 10 folds, the k-fold cross-validation results show that the proposed method’s average accuracy is 99.89%, 99.88%, 99.89%, and 99.87%, respectively. Further, the demonstration of experiments and results shows the KSDRM model is an effective method to identify botnet-based cyber attacks. The findings of this study have the potential to improve cyber security controls and strengthen networks against changing threats.
Mudasir Ali mail , Muhammad Faheem Mushtaq mail , Urooj Akram mail , Daniel Gavilanes Aray mail daniel.gavilanes@uneatlantico.es, Manuel Masías Vergara mail manuel.masias@uneatlantico.es, Hanen Karamti mail , Imran Ashraf mail ,
Ali
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In the original publication [1], there was a mistake in Table 1 as published. In Table 1, the row labelled “Dose 1” appears twice; once at the top and once again at the bottom (after Dose 7). This repeated entry was unintentional and should be removed. The correct table should end at Dose 7, and the repeated Dose 1 row at the bottom is redundant and may cause confusion. The corrected Table 1 appears below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Malaz Yousef mail , Jaime A. Yáñez mail jaime.yanez@unini.edu.mx, Raimar Löbenberg mail , Neal M. Davies mail ,
Yousef
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Methodology and content for the design of basketball coach education programs: a systematic review
Background: The increasing complexity of basketball and the need for optimal decision-making in order to maximize competitive performance highlight the necessity of specialized training for basketball coaches. This systematic review aims to compile, synthesize, and integrate international research published in specialized journals on the training of basketball coaches and students, examining their characteristics and needs. Specifically, it analyzes the content, technical-tactical actions, and methodologies used in practice and education programs to determine which essential parameters for their technical and tactical development. Methods: A structured search was carried out following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA®) guidelines and the PICOS® model until January 30, 2025, in the MEDLINE/PubMed, Web of Science (WOS), ScienceDirect, Cochrane Library, SciELO, EMBASE, SPORTDiscus, and Scopus databases. The risk of bias was assessed and the PEDro scale was used to analyze methodological quality. Results: A total of 14,090 articles were obtained in the initial search. After inclusion and exclusion criteria, the final sample was 23 articles. These studies maintained a high standard of quality. This revealed data on the technical-tactical actions addressed in different categories; the profiles, characteristics, and influence of coaches on player development; and the approaches, teaching methods, and evaluation methodologies used in acquiring knowledge and competencies for the professional development of basketball coaches. Conclusions: Adequate theoretical and practical training for basketball coaches is essential for player development. Therefore, training programs for basketball coaches must integrate technical-tactical, physical, and psychological knowledge with the acquisition of skills and competencies that are refined through practice. This training should be continuous, more specialized, and comprehensive, focusing on understanding and constructing knowledge that supports the professional growth of basketballers. Additionally, training should incorporate digital tools and informal learning opportunities, with blended learning emerging as the most effective methodology for this purpose.
Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Julio Calleja-González mail , Jeisson Mosquera-Maturana mail , Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es,
Alemany Iturriaga