Propuesta de un Modelo de Gestión del Conocimiento Aplicable en las Universidades Tecnológicas del Estado de Hidalgo para el Desarrollo de una Sociedad y Economía del Conocimiento
Tesis
Materias > Ciencias Sociales
Materias > Educación
Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales
Cerrado
Español
Ante la construcción de una mega ciencia como lo es el Sincrotrón Mexicano y en atención a las políticas estatales, nacionales e internacionales, que establecen que las Universidades Tecnológicas del Estados de Hidalgo deben generar una sociedad y economía basada en el conocimiento; se pretende que éstas transiten del modelo educativo actual hacia un modelo de gestión del conocimiento, donde interactúen con el Sincrotrón y atiendan de manera integral los problemas sociales, ambientales, culturales, económicos y políticos. En este sentido, el presente trabajo ha realizado un diagnóstico utilizando la metodología KAM (Knowledge Assesment Methodology), establecida por el Banco Mundial, en el marco de los cuatro pilares de la economía del conocimiento, a) Incentivos Económicos y Régimen Institucional, b) Educación y c) Innovación y d) Tecnologías de la Información y las Comunicaciones, enfocando los retos y oportunidades que deben afrontar en su entorno, realizando un análisis de los escenarios político, económico, social, tecnológico y medioambiental. Con el análisis de resultados del diagnóstico se establece la construcción del modelo de gestión del conocimiento que tiene como base la identificación de los procesos críticos; desde la planeación estratégica, la ideación, el uso de las herramientas para la gestión del conocimiento, la analítica institucional y la generación de una cultura de compartir y difundir para desenvolverse con una mega ciencia; dando como resultados indicadores de impacto, para otorgar nuevos servicios, obtener nuevos proyectos, crear nuevas tecnologías, negocios y sobre todo dar solución a problemas sociales, en un marco del desarrollo sostenible, incidiendo en la mejora y competitividad institucional, productividad de innovación, otorgando un mayor valor agregado, una cultura organizacional, cultura emprendedora y bienestar social. La evaluación del modelo realizado por expertos de las UUTT aportó un nuevo potencial para la organización de las universidades en la prestación de servicios, cambiar patrones de trabajo y mejor desempeño.
metadata
Santillán Arias, Amalia
mail
amaliasantillan@gmail.com
(2022)
Propuesta de un Modelo de Gestión del Conocimiento Aplicable en las Universidades Tecnológicas del Estado de Hidalgo para el Desarrollo de una Sociedad y Economía del Conocimiento.
Doctoral thesis, SIN ESPECIFICAR.
Resumen
Ante la construcción de una mega ciencia como lo es el Sincrotrón Mexicano y en atención a las políticas estatales, nacionales e internacionales, que establecen que las Universidades Tecnológicas del Estados de Hidalgo deben generar una sociedad y economía basada en el conocimiento; se pretende que éstas transiten del modelo educativo actual hacia un modelo de gestión del conocimiento, donde interactúen con el Sincrotrón y atiendan de manera integral los problemas sociales, ambientales, culturales, económicos y políticos. En este sentido, el presente trabajo ha realizado un diagnóstico utilizando la metodología KAM (Knowledge Assesment Methodology), establecida por el Banco Mundial, en el marco de los cuatro pilares de la economía del conocimiento, a) Incentivos Económicos y Régimen Institucional, b) Educación y c) Innovación y d) Tecnologías de la Información y las Comunicaciones, enfocando los retos y oportunidades que deben afrontar en su entorno, realizando un análisis de los escenarios político, económico, social, tecnológico y medioambiental. Con el análisis de resultados del diagnóstico se establece la construcción del modelo de gestión del conocimiento que tiene como base la identificación de los procesos críticos; desde la planeación estratégica, la ideación, el uso de las herramientas para la gestión del conocimiento, la analítica institucional y la generación de una cultura de compartir y difundir para desenvolverse con una mega ciencia; dando como resultados indicadores de impacto, para otorgar nuevos servicios, obtener nuevos proyectos, crear nuevas tecnologías, negocios y sobre todo dar solución a problemas sociales, en un marco del desarrollo sostenible, incidiendo en la mejora y competitividad institucional, productividad de innovación, otorgando un mayor valor agregado, una cultura organizacional, cultura emprendedora y bienestar social. La evaluación del modelo realizado por expertos de las UUTT aportó un nuevo potencial para la organización de las universidades en la prestación de servicios, cambiar patrones de trabajo y mejor desempeño.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Sociedad y Economía del Conocimiento, KAM, Universidades Tecnológicas, Modelos de Gestión, Sincrotrón Mexicano |
| Clasificación temática: | Materias > Ciencias Sociales Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 21 Sep 2023 23:30 |
| Ultima Modificación: | 21 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/1003 |
Acciones (logins necesarios)
 |
Ver Objeto |
<a href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.
Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,
Alemany Iturriaga
<a href="/11642/1/s41598-024-57547-4.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combining complementary rough sets, have emerged as a promising approach for handling uncertainty. However, selecting an appropriate model and effectively utilizing it in data mining requires a thorough qualitative and quantitative comparison of existing hybrid data processing models. This research aims to contribute to the analysis of hybrid data processing models based on neighborhood rough sets by investigating the inherent relationships among these models. We propose a generic neighborhood rough set-based hybrid model specifically designed for processing hybrid data, thereby enhancing the efficacy of the data mining process without resorting to discretization and avoiding information loss or practical meaning degradation in datasets. The proposed scheme dynamically adapts the threshold value for the neighborhood approximation space according to the characteristics of the given datasets, ensuring optimal performance without sacrificing accuracy. To evaluate the effectiveness of the proposed scheme, we develop a testbed tailored for Parkinson’s patients, a domain where hybrid data processing is particularly relevant. The experimental results demonstrate that the proposed scheme consistently outperforms existing schemes in adaptively handling both numerical and categorical data, achieving an impressive accuracy of 95% on the Parkinson’s dataset. Overall, this research contributes to advancing hybrid data processing techniques by providing a robust and adaptive solution that addresses the challenges associated with handling hybrid data, particularly in the context of Parkinson’s disease analysis.
Imran Raza mail , Muhammad Hasan Jamal mail , Rizwan Qureshi mail , Abdul Karim Shahid mail , Angel Olider Rojas Vistorte mail angel.rojas@uneatlantico.es, Md Abdus Samad mail , Imran Ashraf mail ,
Raza
<a href="/11265/1/Food%20Frontiers%20-%202024%20-%20Cassotta%20-%20Human%E2%80%90based%20new%20approach%20methodologies%20to%20accelerate%20advances%20in%20nutrition%20research.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Human‐based new approach methodologies to accelerate advances in nutrition research
Much of nutrition research has been conventionally based on the use of simplistic in vitro systems or animal models, which have been extensively employed in an effort to better understand the relationships between diet and complex diseases as well as to evaluate food safety. Although these models have undeniably contributed to increase our mechanistic understanding of basic biological processes, they do not adequately model complex human physiopathological phenomena, creating concerns about the translatability to humans. During the last decade, extraordinary advancement in stem cell culturing, three-dimensional cell cultures, sequencing technologies, and computer science has occurred, which has originated a wealth of novel human-based and more physiologically relevant tools. These tools, also known as “new approach methodologies,” which comprise patient-derived organoids, organs-on-chip, multi-omics approach, along with computational models and analysis, represent innovative and exciting tools to forward nutrition research from a human-biology-oriented perspective. After considering some shortcomings of conventional in vitro and vivo approaches, here we describe the main novel available and emerging tools that are appropriate for designing a more human-relevant nutrition research. Our aim is to encourage discussion on the opportunity to explore innovative paths in nutrition research and to promote a paradigm-change toward a more human biology-focused approach to better understand human nutritional pathophysiology, to evaluate novel food products, and to develop more effective targeted preventive or therapeutic strategies while helping in reducing the number and replacing animals employed in nutrition research.
Manuela Cassotta mail manucassotta@gmail.com, Danila Cianciosi mail , Maria Elexpuru Zabaleta mail maria.elexpuru@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es,
Cassotta
<a href="/11322/1/journal.pone.0298582.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate.
Md. Milon Islam mail , Imran Shafi mail , Sadia Din mail , Siddique Farooq mail , Isabel de la Torre Díez mail , Jose Breñosa mail josemanuel.brenosa@uneatlantico.es, Julio César Martínez Espinosa mail ulio.martinez@unini.edu.mx, Imran Ashraf mail ,
Islam
<a href="/11324/1/navarro-hortal-et-al-2024-in-vitro-and-in-vivo-insights-into-a-broccoli-byproduct-as-a-healthy-ingredient-for-the.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
en
open
Broccoli has gained popularity as a highly consumed vegetable due to its nutritional and health properties. This study aimed to evaluate the composition profile and the antioxidant capacity of a hydrophilic extract derived from broccoli byproducts, as well as its influence on redox biology, Alzheimer’s disease markers, and aging in the Caenorhabditis elegans model. The presence of glucosinolate was observed and antioxidant capacity was demonstrated both in vitro and in vivo. The in vitro acetylcholinesterase inhibitory capacity was quantified, and the treatment ameliorated the amyloid-β- and tau-induced proteotoxicity in transgenic strains via SOD-3 and SKN-1, respectively, and HSP-16.2 for both parameters. Furthermore, a preliminary study on aging indicated that the extract effectively reduced reactive oxygen species levels in aged worms and extended their lifespan. Utilizing broccoli byproducts for nutraceutical or functional foods could manage vegetable processing waste, enhancing productivity and sustainability while providing significant health benefits.
María D. Navarro-Hortal mail , Jose M. Romero-Márquez mail , M. Asunción López-Bascón mail , Cristina Sánchez-González mail , Jianbo Xiao mail , Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Tamara Y. Forbes-Hernande mail tamara.forbes@unini.edu.mx, José L. Quiles mail jose.quiles@uneatlantico.es,
Navarro-Hortal