<span>Education in Mexico has not evolved in the way it is taught and evaluated. In the historical moment that postmodernism enters, it has not been possible to adapt to</span><span lang="IN"> Information and Communication Technologies</span><span lang="IN">(</span><span>ICT</span><span lang="IN">)</span><span>, or rapid technological innovation, or changes and trends in the industry, to the sharing economy or the rise of distance races. In its analysis, an essential deficiency is detected in the current education models, and it is detected that educational freedom is nil or scarce, which has led to poor student performance, high youth unemployment, which cause severe social problems and the economy of the economy. The current government is working closely with the private sector to connect education and promote employment. It is necessary to grant public schools more autonomy, freedom and responsibility. This paper explains how to act so that Mexico can adapt education 4.0 with solid steps to reach society 5.0.</span>
The Particle Swarm Optimization (PSO) algorithm is a well known alternative for global optimization based on a bio‐inspired heuristic. PSO has good performance, low computational complexity and few parameters. Heuristic techniques have been widely studied in the last twenty years and the scientific community is still interested in technological alternatives that accelerate these algorithms in order to apply them to bigger and more complex problems. This article presents an empirical study of some parallel variants for a PSO algorithm, implemented on a Graphic Process Unit (GPU) device with multi‐thread support and using the most recent model of parallel programming for these cases. The main idea is to show that, with the help of a multithreading GPU, it is possible to significantly improve the PSO algorithm performance by means of a simple and almost straightforward parallel programming, getting the computing power of cluster in a conventional personal computer.
G-protein coupled receptors (GPCR) belong to the largest group of membrane proteins involved in signal transduction. These receptors are implicated in diverse physiological and pathological events. The human beta(2) adrenergic receptor (hbeta(2)AR) is one of the few GPCRs whose 3-D structures are available on the Protein Data Bank. Because there is great interest by drug developers for hbeta(2)AR as a target, it is necessary to study its ligand-recognition process at the atomic level. The hbeta(2)AR can recognize both R/S enantiomeric ligands, R-agonists result in a greater activation than do S-agonists (eutomers and distomers for activation, respectively), according to experimental results. In this work is reported the ligand recognition on a refined hbeta(2)AR-structure of a set of well-known R/S-ligands by means of docking studies. Data obtained in silico were analyzed and compared with those reported in vitro. The theoretical affinity values were reproduced for agonists, but not for antagonist (or inverse agonists). However, theoretical data for R-antagonists are in function to experimental data. The theoretical results confirm the role of amino acids previously reported by mutagenesis studies due to their important roles in drug affinity and stereoselectivity.
Aunque se han realizado estudios en la aceptación de las evaluaciones en línea, no se han explorado para la enseñanza de las matemáticas en estudiantes de licenciaturas en ciencias sociales. Este estudio analiza los efectos de un grupo de factores que afectan la actitud, la aceptación y la intención del uso de las evaluaciones de matemáticas en línea, en estudiantes de la modalidad a distancia de la escuela de Comercio y Administración del Instituto Politécnico Nacional en México. Para ello se utilizó un instrumento con 15 reactivos aplicado a 23 estudiantes. Comprender los factores tratados requirió del modelo para la aceptación de la tecnología (TAM, por sus siglas en inglés), el cual ha probado ser un modelo robusto para determinar la actitud e intención de uso de la tecnología en diversos contextos, incluyendo el educativo. El análisis se realizó mediante la técnica de ecuaciones estructurales, usando mínimos cuadrados parciales, propia para estudios exploratorios y muestras pequeñas. Los resultados sugieren que los factores facilidad de condiciones e influencia social son los principales determinantes de una actitud y aceptación favorable para usar exámenes de matemáticas en línea, por lo se puede concluir que el proporcionar a los alumnos la infraestructura tecnológica y servicio técnico adecuado es importante, y que el mantener una comunicación continua y eficiente de autoridades y maestros puede influenciar favorablemente a la actitud de los estudiantes para usar la plataforma.
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