BLENDED LEARNING. POSIBILIDADES DE APLICACIÓN EN LA UNIVERSIDAD TECNOLÓGICA DE CANCÚN

At present the present time the skill related to the Technologies of Information and Communication (TIC´s) acquiere every day more importance in the contribution to business success, mainly in the area of formation of human capital, in which in-line education trends. For this reason, the universities must begin to implement education model in-line learning, combined with the actual clases, with the objective that the students acquire experience in the use of the TIC´s. In consecuence, the present investigaction provides an approach to the model of b-learning to explain what elements are included and the studen and teacher`s roll, as well as to Know the possibilities for its implementation and identifying, initially, if we count with the necessary resources, means, knowledge and interest in the use of the TIC´s in the processes of an already realised study of eduction and student of Business Administration of the Divisiñon Económico administrativa of the Universidad Tecnológica de Cancún. And finally to reach conclusions and recommendations for its application.En la actualidad, las competencias relacionadas con las Tecnologías de Información y Comunicaciones (TIC´s) cada día adquieren mayor importancia por contribuir a la creación de valor de las empresas, principalmente en el área de formación del capital humano, en la cual las tendencias apuntan hacia las modalidades de enseñanza aprendizaje en línea. Por ello, las universidades deben comenzar a implementar modelos de enseñanza aprendizaje en línea, combinadas con las clases presenciales, con la finalidad de que los estudiantes adquieran experiencia en el uso de las TIC´s en su formación. Por lo anterior, el presente trabajo de investigación pretende proporcionar un acercamiento al modelo b-larning, explicar que elementos lo componen y por qué este modelo está más acorde al modelo por competencias profesionales, el rol del docente y el estudiante en el modelo b-learning, así como conocer las posibilidades de implementación del blearning, identificando inicialmente si los docentes y estudiantes cuentan con los recursos, medios, conocimientos e interés en el uso de las TIC´s en los procesos de enseñanza aprendizaje, a través de un estudio realizado a docentes y alumnos de la División Económico Administrativas de la Universidad Tecnológica de Cancún, para finalmente llegar a conclusiones y recomendaciones de aplicación

Virtualización de las prácticas de laboratorio del curso de Ingeniería Eléctrica 1, de la Escuela de Ingeniería Mecánica Eléctrica, Facultad de Ingeniería, Universidad de San Carlos De Guatemala, bajo el modelo constructivista de educación y uso de TICS

Diseñar contenidos multimedia, videos, tutoriales, simulaciones de los temas principales del laboratorio de Ingeniería Eléctrica 1, contenidos que estará disponible en un canal de YouTube y en una carpeta de Mega, así complementar las clases magistrales con contenido virtual para hacer más efectivo el método de enseñanza y elaborar práctica de laboratorios y simulaciones con base a temas principales del curso

Ant colony optimization for multi-UAV minimum time search in uncertain domains

This paper presents a new approach based on ant colony optimization (ACO) to determine the trajectories of a fleet of unmanned air vehicles (UAVs) looking for a lost target in the minimum possible time. ACO is especially suitable for the complexity and probabilistic nature of the minimum time search (MTS) problem, where a balance between the computational requirements and the quality of solutions is needed. The presented approach includes a new MTS heuristic that exploits the probability and spatial properties of the problem, allowing our ant based algorithm to quickly obtain high-quality high-level straight-segmented UAV trajectories. The potential of the algorithm is tested for different ACO parameterizations, over several search scenarios with different characteristics such as number of UAVs, or target dynamics and location distributions. The statistical comparison against other techniques previously used for MTS (ad hoc heuristics, cross entropy optimization, bayesian optimization algorithm and genetic algorithms) shows that the new approach outperforms the others.This work was supported by Airbus under the SAVIER AER-30459 project

SOLUCIÓN A LAS PATOLOGÍAS POR CARBONATACIÓN EN LOS BLOQUES HABITACIONALES DEL “HOTEL COLONIAL CAYO COCO” / SOLUTION TO PATHOLOGIES DUE TO CARBONATION IN THE HOUSING BLOCKS OF THE "COLONIAL CAYO COCO HOTEL"

Dentro del marco de investigación está presente la medición de la profundidad de carbonatación, para conocer si esta supera la medida de recubrimiento, empleando la fenolftaleína como indicador ácido-base, el cual fue rociado sobre superficies descubiertas durante los procesos semi destructivos realizados sobre los elementos. Como el hormigón no ofrece protección para el acero al estar en valores de potencial de hidrógeno (pH) inferiores a 9.00, dependiendo de los resultados ofrecidos en un rango de viraje superior e inferior, fue necesario ensayos para tener una mayor exactitud con respecto al riesgo de corrosión y obtener el porcentaje de los que realmente estuviesen carbonatados. El (pH) fue medido con el equipo ExStik Concrete pH Kit modelo PH150-C y las áreas evaluadas fueron distribuidas en todos los objetos estudiados. Con los resultados obtenidos se propuso las acciones de intervención correspondientes a las lesiones, dependiendo de la gravedad de las mismas, y de esta manera dar solución a las patologías por carbonatación existentes

A specific protein-enriched enteral formula decreases cortisolemia and improves plasma albumin and amino acid concentrations in elderly patients

<p>Abstract</p> <p>Background</p> <p>Old age is associated with an involuntary and progressive but physiological loss of muscle mass. The aim of this study was to evaluate the effects of exclusive consumption for 6 months of a protein-enriched enteral diet with a relatively high content of branched-chain amino acids on albuminemia, cortisolemia, plasma amino acids, insulin resistance, and inflammation biomarkers in elderly patients.</p> <p>Methods</p> <p>Thirty-two patients from the Clinical Nutrition Outpatient Unit at our hospital exclusively consumed a protein-enriched enteral diet for 6 months. Data were collected at baseline and at 3 and 6 months on anthropometric and biochemical parameters and on plasma concentrations of amino acids, cortisol, adrenocorticotropic hormone, urea, creatinine, insulin resistance, and inflammation biomarkers.</p> <p>Results</p> <p>The percentage of patients with albumin concentration below normal cut-off values decreased from 18% to 0% by the end of the study. At 6 months, concentrations of total plasma (<it>p </it>= 0.008) and essential amino acids (<it>p </it>= 0.011), especially branched-chain amino acids (<it>p </it>= 0.031), were higher versus baseline values, whereas 3-methylhistidine (<it>p </it>= 0.001), cortisol (<it>p </it>= 0.001) and adrenocorticotropic hormone (<it>p </it>= 0.004) levels were lower.</p> <p>Conclusions</p> <p>Regular intake of specific protein-enriched enteral formula increases plasma essential amino acids, especially branched-chain amino acids, and decreases cortisol and 3-methylhistidine, while plasma urea and creatinine remain unchanged.</p

Low levels of granulocytic myeloid-derived suppressor cells may be a good marker of survival in the follow-up of patients with severe COVID-19

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a disease (coronavirus disease 2019, COVID-19) that may develop into a systemic disease with immunosuppression and death in its severe form. Myeloid-derived suppressive cells (MDSCs) are inhibitory cells that contribute to immunosuppression in patients with cancer and infection. Increased levels of MDSCs have been found in COVID-19 patients, although their role in the pathogenesis of severe COVID-19 has not been clarified. For this reason, we raised the question whether MDSCs could be useful in the follow-up of patients with severe COVID-19 in the intensive care unit (ICU). Thus, we monitored the immunological cells, including MDSCs, in 80 patients admitted into the ICU. After 1, 2, and 3 weeks, we examined for a possible association with mortality (40 patients). Although the basal levels of circulating MDSCs did not discriminate between the two groups of patients, the last measurement before the endpoint (death or ICU discharge) showed that patients discharged alive from the ICU had lower levels of granulocytic MDSCs (G-MDSCs), higher levels of activated lymphocytes, and lower levels of exhausted lymphocytes compared with patients who had a bad evolution (death). In conclusion, a steady increase of G-MDSCs during the follow-up of patients with severe COVID-19 was found in those who eventually died

A novel method for automatic detection and classification of movement patterns in short duration playing activities

Autonomous devices able to evaluate diverse situations without external help have become especially relevant in recent years because they can be used as an important source of relevant information about the activities performed by people (daily habits, sports performance, and health-related activities). Specifically, the use of this kind of device in childhood games might help in the early detection of developmental problems in children. In this paper, we propose a method for the detection and classification of movements performed with an object, based on an acceleration signal. This method can automatically generate patterns associated with a given movement using a set of reference signals, analyze sequences of acceleration trends, and classify the sequences according to the previously established patterns. This method has been implemented, and a series of experiments has been carried out using the data from a sensor-embedded toy. For the validation of the obtained results, we have, in parallel, developed two other classification systems based on popular techniques, i.e., a similarity search based on Euclidean distances and machine-learning techniques, specifically a support vector machine model. When comparing the results of each method, we show that our proposed method achieves a higher number of successes and higher accuracy in the detection and classification of isolated movement signals as well as in sequences of movements

Reconstrucción de los sistemas de la Compañía Inglesa de agua para el abastecimiento a Cartagena, del siglo XIX hasta mediados del XX

El objetivo de esta presentación es la reconstrucción sobre gvSIG de los sistemas de abastecimiento de aguas de la ciudad de Cartagena, principalmente el denominado Sistema de Perín, propiedad de la compañía privada “Carthagena Water & Mining Co. Ltd.”, que funcionó desde finales del siglo XIX hasta mediados del XX