19 research outputs found

    Effects Of Confinement on The Emotional Stress of High School Teachers: An Exploratory Approach

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    El estrés emocional, también conocido como síndrome de Burnout, puede surgir como resultado del confinamiento por desastres o tragedias, especialmente en contextos virtuales. El estudio se enfoca en medir el estrés laboral en docentes de educación media superior, específicamente en el CETis No. 70, que enfrentaron la modalidad en línea debido a la pandemia del COVID-19. Métodos: Se aplicó el cuestionario Maslach Burnout Inventory, evaluando tres dimensiones: agotamiento emocional, despersonalización y realización personal, con 22 ítems. Resultados: Los docentes mostraron altos niveles de realización personal (65%) y agotamiento emocional (56%), pero bajos niveles de despersonalización (5%). Conclusiones: Los altos niveles de agotamiento emocional reflejan la problemática del confinamiento en un entorno virtual, evidenciando la necesidad de preparar los sistemas educativos para enfrentar desafíos similares en el futuro y cuidar la salud de los profesores.Emotional stress, also known as Burnout syndrome, can arise as a result of confinement due to disasters or tragedies, especially in virtual contexts. The study focuses on measuring work stress in high school teachers, specifically in CETis No. 70, who faced the online modality due to the COVID-19 pandemic. Methods: The Maslach Burnout Inventory questionnaire was applied, evaluating three dimensions: emotional exhaustion, depersonalization and personal accomplishment, with 22 items. Results: Teachers showed high levels of personal accomplishment (65%) and emotional exhaustion (56%), but low levels of depersonalization (5%). Conclusions: The high levels of emotional exhaustion reflect the problem of confinement in a virtual environment, evidencing the need to prepare educational systems to face similar challenges in the future and take care of the health of teachers

    Role of age and comorbidities in mortality of patients with infective endocarditis

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    [Purpose]: The aim of this study was to analyse the characteristics of patients with IE in three groups of age and to assess the ability of age and the Charlson Comorbidity Index (CCI) to predict mortality. [Methods]: Prospective cohort study of all patients with IE included in the GAMES Spanish database between 2008 and 2015.Patients were stratified into three age groups:<65 years,65 to 80 years,and ≥ 80 years.The area under the receiver-operating characteristic (AUROC) curve was calculated to quantify the diagnostic accuracy of the CCI to predict mortality risk. [Results]: A total of 3120 patients with IE (1327 < 65 years;1291 65-80 years;502 ≥ 80 years) were enrolled.Fever and heart failure were the most common presentations of IE, with no differences among age groups.Patients ≥80 years who underwent surgery were significantly lower compared with other age groups (14.3%,65 years; 20.5%,65-79 years; 31.3%,≥80 years). In-hospital mortality was lower in the <65-year group (20.3%,<65 years;30.1%,65-79 years;34.7%,≥80 years;p < 0.001) as well as 1-year mortality (3.2%, <65 years; 5.5%, 65-80 years;7.6%,≥80 years; p = 0.003).Independent predictors of mortality were age ≥ 80 years (hazard ratio [HR]:2.78;95% confidence interval [CI]:2.32–3.34), CCI ≥ 3 (HR:1.62; 95% CI:1.39–1.88),and non-performed surgery (HR:1.64;95% CI:11.16–1.58).When the three age groups were compared,the AUROC curve for CCI was significantly larger for patients aged <65 years(p < 0.001) for both in-hospital and 1-year mortality. [Conclusion]: There were no differences in the clinical presentation of IE between the groups. Age ≥ 80 years, high comorbidity (measured by CCI),and non-performance of surgery were independent predictors of mortality in patients with IE.CCI could help to identify those patients with IE and surgical indication who present a lower risk of in-hospital and 1-year mortality after surgery, especially in the <65-year group

    European journalism observatory: An international consolidated platform for training and professional networks in the Faculty of Information Sciences

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    El objetivo principal de este proyecto Innova-Docenia era ampliar y consolidar una plataforma de formación internacional y consolidada, para alumnos y alumnas de la Facultad de Ciencias de la Información, como parte del European Journalism Observatory (EJO), fundado por el Instituto Reuters de la Universidad de Oxford. Se trataba de afianzar EJO Spain como plataforma de formación y escaparate de las acciones implementadas en España, donde la Universidad Complutense de Madrid se convertía en el socio español principal. El Observatorio Europeo de Periodismo (EJO), una red de instituciones independientes y sin ánimo de lucro del campo de la comunicación de 14 países, tiene como objetivo tender puentes entre la investigación y la práctica del periodismo en Europa y fomentar el profesionalismo y la libertad de prensa. Promueve el diálogo entre investigadores y profesionales de los medios. Acerca los resultados de la investigación a las personas que trabajan en los medios. Su objetivo es mejorar la calidad del periodismo, contribuir a una mejor comprensión de los medios y fomentar la libertad de prensa y la responsabilidad de los medios. Nació en 2004, como una red de varios socios europeos, coordinados por la Universidad de Lugano y la Universidad de Oxford. Fue diseñado para observar las tendencias en el periodismo y en los medios de comunicación, desde una perspectiva ética y deontológica muy amplia. Desde entonces, sus artículos, investigaciones y editoriales son publicados en las distintas páginas web de cada socio: https://es.ejo-online.eu/red-ej

    IMPLEMENTACIÓN Y CAPACITACIÓN DE LA PLATAFORMA MOODLE EN EL TECNOLÓGICO NACIONAL DE MÉXICO CAMPUS VILLAHERMOSA

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    El objetivo de la investigación actual se plantea la posibilidad de implementar y capacitar mediante la plataforma Moodle en el tecnológico Nacional De México Campus Villahermosa, a los docentes en la plataforma institucional que es la antes mencionada, en la cual el manejo de la plataforma virtual es lo más relevante y su acceso se hace pertinente, así como el aprovechamiento de todas las herramientas y aplicaciones que ofrece, su acceso constante nos permite conocerla más a fondo, manejarla, accesar ininterrumpidamente a través del internet. Es claro que en la actualidad la gran mayoría tiene acceso a internet de manera global, en todos los rincones del mundo, en algunos casos de forma gratuita, por lo tanto no hay la posibilidad de no tener acceso o que se nos complique esta parte, por lo tanto el conocer de manera general esta plataforma, proporciona a los docentes todas las herramientas para que sus asignaturas tengan una interfaz amigable, estén accesibles y bien soportadas y diseñadas y esto ayudará en el proceso enseñanza[1]aprendizaje y se cumplirá con el objetivo del programa de estudio asignado

    Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

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    Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations.Spanish Government (Ministry of Economy and Competitiveness, MINECO) and FEDER Projects: CGL2014 52135-C3-3-R, ESP2017-89463-C3-3-R, CGL2014-59946-R, CGL2015-65569-R, CGL2015-64284-C2-2-R, CGL2015-64284-C2-1-R, CGL2016-78075-P, GL2008-02879/BTE, LEDDRA 243857, RECARE-FP7, CGL2017-83866-C3-1-R, and PCIN-2017-061/AEI. Dhais Peña-Angulo received a “Juan de la Cierva” postdoctoral contract (FJCI-2017-33652 Spanish Ministry of Economy and Competitiveness, MEC). Ana Lucia acknowledge the "Brigitte-Schlieben-Lange-Programm". The “Geoenvironmental Processes and Global Change” (E02_17R) was financed by the Aragón Government and the European Social Fund. José Andrés López-Tarazón acknowledges the Secretariat for Universities and Research of the Department of the Economy and Knowledge of the Autonomous Government of Catalonia for supporting the Consolidated Research Group 2014 SGR 645 (RIUS- Fluvial Dynamics Research Group). Artemi Cerdà thank the funding of the OCDE TAD/CRP JA00088807. José Martínez-Fernandez acknowledges the project Unidad de Excelencia CLU-2018-04 co-funded by FEDER and Castilla y León Government. Ane Zabaleta is supported by the Hydro-Environmental Processes consolidated research group (IT1029-16, Basque Government). This paper has the benefit of the Lab and Field Data Pool created within the framework of the COST action CONNECTEUR (ES1306)

    Learning Courses for Geography and History: Proposal of Application of Innovative Methodologies in University Teaching

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    Organización, puesta en marcha y análisis de talleres de formación para profesores de la Facultad de Geografía e Historia. Las acciones formativas se han centrado en métodos innovadores en las aulas y en el uso de las TICs aplicadas a la docencia universitaria.Final report of the PIMCD 102 for the organization, implementation, and analysis of training workshops for teachers of the Faculty of Geography and History. The training Labs have focused on innovative methods in the classroom and they were focused on the use of ICTs applied to university teaching.Depto. de Historia Moderna y ContemporáneaFac. de Geografía e HistoriaFALSEsubmitte

    Discovering HIV related information by means of association rules and machine learning

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    Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts
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