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  1. Início
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Navegando por Data de Publicação, começando com "2021-09-15"

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    Mapeamento da suscetibilidade a escorregamentos translacionais rasos na bacia do Rio Pirajibú-Mirim, Sorocaba-SP: aplicação dos modelos SHALSTAB e de Rede Neural Artificial (RNA) na estimativa de atributos físicos do solo.
    (Universidade Federal de São Carlos, 2021-09-15) Melo, Carrie Peres; Fernandes, Erminio; https://lattes.cnpq.br/2770392631554400; https://lattes.cnpq.br/1936895456706360
    The susceptibility to mass movements on slope areas can generate risks of natural disasters. So the study is of great importance, with interest in mitigating damage to life, material, economic, environmental, and especially in populated places, where it can affect people, and the social environment in general. The objective of this research is to identify the classes of susceptibility to shallow translational landslides in the basin of the Pirajibú-Mirim River, city of Sorocaba - SP to achieve this goal was used the Artificial Neural Network (ANN) was to determinate soil physical properties. The morphometric maps were made from images of Alos Palsar and SRTM (Shuttle Radar Topography Mission). These images have a resolution of 12.5 and 30 meters, respectively. The software used is free and open-source SAGA GIS and QGIS. The procedures were: mapping of the relief attributes (slope, aspect, texture, convexity, and the catchment area). Secondly, the classification of the land topography generated sixteen terrain classes. To identify the landslide susceptibility areas was applied the SHALSTAB model, using attributes of the slope, catchment area, bulk density, cohesion, hydraulic conductivity, angle of friction, and soil thickness. To determine the angle of internal friction, and cohesion of soils the ANN technique was used. Like the permeameter of Guelph, has been created to determine the hydraulic conductivity of soils in situ. AHP (Analytical Hierarchy Process) was applied to evaluate and visualize the urban areas at risk. The results achieved by ANN techniques, AHP, and the SHALSTAB model were satisfactory for obtaining the map of the areas susceptible to shallow translational landslides, both in urban areas and in more withdrawn sites. The artificial neural network technique allowed for the spatialization of the SHALSTAB parameters, demonstrating the increase in data quality and with this results closer to reality. The contribution of this research concerns the increase of data and provision of results. Support the planning and operation of preventive and mitigating actions in these locations as well as stimulating the increased use of free and open-source software.
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    Projetos de extensão podem ser fatores protetivos quanto ao sofrimento psíquico em alunos de graduação da UFSCar?
    (Universidade Federal de São Carlos, 2021-09-15) Romano, Giovanna Bombonatti; Bleicher, Taís; https://lattes.cnpq.br/9075358493860166; https://lattes.cnpq.br/8021352998835812
    Most universities have extension projects as one of their pillars. that these promote benefits for both parties: university and external community. However, there is no research that studies whether these university extension groups can be a protective factor for students in psychological distress. Some students present psychopathological pictures during graduation. Thinking that extension groups could help students develop skills and abilities, as well as be motivators to undergraduates, it is worth studying whether they can be a protective factor for psychological distress. THE methodology used was qualitative, data collection was performed through an interview semi-structured, with three volunteers, and subsequent transcription and analysis through the history of life, which privileges the participant's point of view about the situations that are being questioned. The results were analyzed and categorized into: psychological distress before graduation, with vestibular subcategories and parameters of the ideal; role of the projects of extension in the lives of university students; life history and perception about the projects of extension; social support network as a protective factor; extension projects as factors protective (for university students working in these projects); extension projects like aggravating or generating psychological distress. From the data that was obtained, it is possible to infer a relevance of this study with regard to the understanding of health of UFSCar undergraduates, and their personal perspectives on their suffering psychics. The understanding of the roles of extension in the lives of these undergraduates is added, which can be both aggravating psychological distress, due to possible overloads, as protectors of their suffering. Due to these results, it is necessary to adopt measures within the extension projects, to avoid overload, and within the university, to take care of students' mental health.
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