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The study was carried out with a representative sample of Ecuadorian police officers, which confirms that police work is continually exposed to various stressors, which have been aggravated by the COVID-19 pandemic. The objectives of the research were to evaluate the prevalence of Burnout Syndrome (BS), examine the relationship between the different dimensions of SB and Job Satisfaction (SL) and propose a specific predictive model of SB for Ecuadorian police officers. The research design was correlational, using a sample of 3,735 police officers during the pandemic period, collecting data from April 2020 to November 2022. The surveys were applied: 1) Maslach Burnout Inventory (MBI-HSS), 2) Job Satisfaction of Sonia Palma (SL-SPC) and 3) Socio-labor factors. The results indicate that 79.22% of the sample are men, 20.78% women, with 9.48% in managerial roles and 90.52% performing technical-operational functions. 2.62% present a high level of SB, while 70.04% show a propensity to experience symptoms of burnout and 30.10% experience job dissatisfaction. A weak negative relationship (-.038) is observed between the SB and the SL. In relation to sociodemographic variables, such as sex, marital status, age and parenthood, they do not seem to constitute significant risk factors for the development of SB in police officers. The proposed model manages to predict 64.1% of SB in Ecuadorian police officers, highlighting the importance of meeting job demands and providing adequate resources., El estudio se realizó con una muestra representativa de policías ecuatorianos, en donde se confirma que la labor policial está continuamente expuesta a diversos factores estresantes, que se han visto agravados por la pandemia del COVID-19. Los objetivos de la investigación fue evaluar la prevalencia del Síndrome de Burnout (SB), examinar la relación entre las distintas dimensiones del SB y la Satisfacción Laboral (SL) y proponer un modelo predictivo del SB específico para los policías ecuatorianos. El diseño de la investigación fue correlacional, utilizando una muestra de 3.735 policías durante el periodo de la pandemia, recopilando datos desde abril de 2020 hasta noviembre de 2022. Se aplicaron las encuestas 1) Inventario de Burnout de Maslach (MBI-HSS), 2) Satisfacción Laboral de Sonia Palma (SL-SPC) y 3) Factores socios laborales. Los resultados indican que el 79.22% de la muestra son hombres, el 20.78% mujeres, con un 9.48% en roles directivos y un 90.52% desempeñando funciones técnico-operativas. Un 2.62% presenta un nivel alto de SB, mientras que el 70.04% muestra propensión a experimentar síntomas de agotamiento y el 30.10% experimenta insatisfacción laboral. Se observa una relación débil negativa (-.038) entre el SB y la SL. Con relación a las variables sociodemográficas, como el sexo, el estado civil, la edad y la paternidad, no parecen constituir factores de riesgo significativos para el desarrollo del SB en los policías. El modelo propuesto logra predecir el 64.1% del SB en los policías ecuatorianos, resaltando la importancia de atender las demandas laborales y proporcionar recursos adecuados.

En este proyecto se investigarán, comentarán y se analizarán, las estrategias más sostenibles posibles para implementar en un edificio, concretamente en uno residencial, todo esto a través de la comprensión de que significa la sostenibilidad y teniendo en cuenta los diferentes contextos en los que se encuentra el mundo actualmente. Además, se buscará la forma más óptima e idónea de reducir al máximo el consumo energético de las áreas comunes del edifico gracias a la aplicación de algunas estrategias sostenible que contenga almenos algun tipo de energía renovable, sin repercutir en el bienestar de los habitantes del propio edificio y de los colindantes. El objetivo final de este proyecto es estudiar la instalación de energía renovable, conociendo cual sería el ahorro energético, valorando sus beneficios e inconvenientes, así como el impacto económico, ambiental y social que puede llegar a generar.

In the context of expected future melt reductions in the high-Andes, the buffering capacity of non-glacial stores, and especially of high-altitude bofedal wetlands, is of increasing importance. Isotope signatures potentially indicative of water undergoing evaporation on transit through bofedales have been found in the tropics, but end-member uncertainty has so far prevented streamflow separation using this signal. We undertook a stable isotope sampling campaign over the 2022 wet-dry season transition in a 53.6 km2, 16% glacierized catchment in southern Peru with a bofedal coverage of 11%. Diurnal proglacial hydrographs and remote sensing were used to interpret seasonal snowmelt dynamics and identify the dry periods when glacial melt and bofedal contributions are assessed to be the two principal components of streamflow. Following the final wet season precipitation event, a rapid ~3 week transition occurs in the main river from a stable isotope signature consistent with dynamic rainfall/snowmelt contributions to one of ice-melt. In both wet and dry seasons, the main river and tributary streams show evaporative enrichment suggesting ongoing supply from water transiting bofedales. A two-component mixing model using lc-excess during the dry season shows the bofedal source contribution varies from 9% to 20% [±9–10%], indicating that streamflow is greatly augmented by the presence of glaciers at these headwater scales. However, applying these proportions to river discharge shows a sustained bofedal contribution of around 0.09 m3/s during the dry season study window whereas the flux of glacial water halves from 0.73 to 0.36 m3/s over this timeframe. The results highlight the important role of bofedales and the connected groundwater system in buffering seasonal declines in streamflow months into the dry season, and suggests the hydrological functioning of bofedales as part of this wider system should be considered when exploring the effectiveness of potential options to sus