Los desafíos de la sociedad del conocimiento plantean cambios significativos en el sistema de educación superior. Las tecnologías basadas en inteligencia artificial exigen que las instituciones educativas de educación superior universitaria pasen de ser meras transmisoras de información a convertirse en formadoras de profesionales capaces de gestionar grandes volúmenes de información y conocimientos. El propósito de este estudio es respaldar el importante desafío que enfrenta la universidad en relación con el cambio urgente del modelo educativo para adaptarlo a una sociedad inteligente. Para lograrlo, se llevó a cabo un análisis documental y se fundamentó el marco de referencia a través del enfoque hermenéutico. Se ha destacado la necesidad de planificar, diseñar, desarrollar e implementar nuevos modelos educativos centrados en la gestión del conocimiento por parte de lo...

The lack of production and distribution of food in Venezuela brings with it scarcity and shortages in basic food products. Regulations on prices control over products to buy and excessive queues have affected the access and availability of these by the population. Faced with this reality, the Venezuelan government has defined policies, strategies and programs to guarantee access to food products, for which it has developed since 2000, food programs to solve the situation described above. Consequently the purpose of this research work is to characterize the process of food distribution of the Venezuelan State during the period 2000-2017. The methodology used is descriptive-analytical, under a documentary and qualitative approach. Specialized documents are reviewed, identifying relevant theoretical elements associated with the distribution process.The large investments made in this...

Reverse logistics is a concept of recent introduction and little known in companies of dairy products sector in Zulia state (Venezuela), most of them have started in their implementation; either as part of an after-sales service, or as part of the production and / or marketing process. Apparently, it only needs to be structured integrally and give it a strategic dimension.In this article processes and operations binding aspects of Zulia dairy circuit with reverse logistics are presented. In this sense, the reverse logistics in the supply chain of dairy derivatives companies in Zulia is characterized. Guide strategies and reverse logistics activities as socially responsible practices are submitted. This becomes challenging, since implementing a reverse logistics system as an essential and potential strategy is a difficult issue given the country’s socio-economic and political si...

Desde una visión sustentable, se despliega esta obra que lleva por nombre Agronegocios y Ganadería Sostenible, compila catorce trabajos de cinco países de América Latina: México, Colombia, Argentina Venezuela y Perú, en cuatro secciones centrales. Se destaca, el trabajo conjunto entre la Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Perú, y la Universidad del Zulia, Venezuela. Los esfuerzos de ambas instituciones han permitido desde el Instituto de Investigación en Ganadería y Biotecnología (IGBI), el Instituto de Investigación en Negocios Agropecuarios (INNA) de la Facultad de Ingeniería Zootecnista, Agronegocios y Biotecnología (FIZAB), con el apoyo financiero del Proyecto “Mejoramiento de tecnologías para el incremento de núcleos de ganado bovino de alto valor genético en las estaciones experimentales ganaderas de la Universidad Nacional Tor...

Introduction: The COVID-19 pandemic has had a significant impact worldwide, especially in health, where it is crucial to identify patients at high risk of clinical deterioration early. Objective: This study aimed to design a model based on the support vector machine (SVM) algorithm, optimizing its parameters to classify patients with suspected COVID-19. Methodology: One thousand patient records from two health establishments in Peru were used. After applying data preprocessing and variable engineering, the sample was reduced to 700 records. The construction of the model followed a machine learning methodology, using the linear, polynomial, sigmoid, and radial kernel functions, along with their estimated optimal parameters, to ensure the best performance. Results: The results revealed that the SVM model with the linear and sigmoid kernels presented an accuracy of 95%, surpassing the polyn...