39 research outputs found

    Gestão da Qualidade e Inclusão Social: A Residência Universitária da UFS.

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    O ensino universitário, público e gratuito tem sido alvo de debate nos últimos anos, especificamente quanto à inclusão social e à qualidade dos seus produtos e serviços. Estão incluídas nesta discussão as políticas de assistência estudantil e outros serviços prestados pela universidade à comunidade em cumprimento ao seu papel social, a exemplo do programa de residência universitária. Este estudo tem como objetivo analisar o programa de residência universitária adotado na Universidade Federal de Sergipe (UFS), sob a perspectiva dos alunos residentes e dos gestores do programa. Especificamente trata de analisar o funcionamento das residências universitárias; identificar os seus pontos fortes e as suas debilidades; identificar as características dos residentes e verificar seu grau de satisfação; identificar a percepção dos gestores quanto à qualidade do programa; propor estratégias para a consolidação do programa. Metodologicamente, é caracterizado como pesquisa exploratória-descritiva e quali-quantitativa. As informações foram coletadas através de questionário aplicado a 40% dos residentes e de entrevista com todos os gestores do programa, constituindo-se num estudo de caso. Entre as conclusões cabe destacar que: de forma geral, os alunos residentes estão satisfeitos com o programa, embora tenham citado pontos a melhorar, como as normas que o regem, a fiscalização para ingresso dos candidatos e a atuação do conselho de residentes. Os gestores consideram o modelo adotado pela UFS como de boa qualidade, embora pouco utilizem ferramentas de gestão da qualidade. A implantação de programa de qualidade é imprescindível para consolidar o modelo de residência universitária adotado pela UFS e assim exercer o seu papel de responsabilidade social, ao incluir estudantes carentes e promover o seu bem-estar

    Pharmacological evaluation of bee venom and melittin

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    AbstractThe objective of this study was to identify the pharmacological effects of bee venom and its major component, melittin, on the nervous system of mice. For the pharmacological analysis, mice were treated once with saline, 0.1 or 1.2mg/kg of bee venom and 0.1mg/kg of melittin, subcutaneously, 30min before being submitted to behavioral tests: locomotor activity and grooming (open-field), catalepsy, anxiety (elevated plus-maze), depression (forced swimming test) and apomorphine-induced stereotypy. Haloperidol, imipramine and diazepam were administered alone (positive control) or as a pre-treatment (haloperidol). The bee venom reduced motor activity and promoted cataleptic effect, in a similar manner to haloperidol. These effects were decreased by the pretreatment with haloperidol. Both melittin and bee venom decreased the apomorphine-induced stereotypies. The data indicated the antipsychotic activity of bee venom and melittin in a murine model

    Primary Cutaneous Cryptococcosis Case Report

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    A criptococose constitui doença causada pelo fungo Cryptococcus neoformans, comumente encontrado em fezes de aves, como pombos. Este microorganismo pode causar doença em seres humanos, podendo acometer diversos órgãos, dentre eles a pele. Mais comumente ocasiona doença em indivíduos imunossuprimidos. O caso relatado é o de uma paciente do sexo feminino de 44 anos que fazia uso crónico de corticosteroide sem prescrição médica e apresentou lesão em face lateral de braço esquerdo, cujos exames laboratoriais confirmaram o diagnóstico de criptococose cutânea primária.Cryptococcosis is a disease caused by the fungus Cryptococcus neoformans, commonly found in bird excrement, like pigeons. This organism has the ability to cause disease in humans, which may affect several organs, including the skin. Most commonly it causes disease in individuals with some kind of suppression of the immune system. The case reported is of a female patient of 44-years- -old that had used corticosteroids for many months without prescription and presented a skin lesion on her left arm. Laboratory tests confirmed the diagnosis of primary cutaneous cryptococcosis

    Metabolically Healthy Obesity and High Carotid Intima-Media Thickness in Children and Adolescents: International Childhood Vascular Structure Evaluation Consortium

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    OBJECTIVE It has been argued that metabolically healthy obesity (MHO) does not increase cardiovascular disease (CVD) risk. This study examines the association of MHO with carotid intima-media thickness (cIMT), a proxy of CVD risk, in children and adolescents. RESEARCH DESIGN AND METHODS Data were available for 3,497 children and adolescents aged 6–17 years from five population-based cross-sectional studies in Brazil, China, Greece, Italy, and Spain. Weight status categories (normal, overweight, and obese) were defined using BMI cutoffs from the International Obesity Task Force. Metabolic status (defined as "healthy" [no risk factors] or "unhealthy" [one or more risk factors]) was based on four CVD risk factors: elevated blood pressure, elevated triglyceride levels, reduced HDL cholesterol, and elevated fasting glucose. High cIMT was defined as cIMT ≥90th percentile for sex, age, and study population. Logistic regression model was used to examine the association of weight and metabolic status with high cIMT, with adjustment for sex, age, race/ethnicity, and study center. RESULTS In comparison with metabolically healthy normal weight, odds ratios (ORs) for high cIMT were 2.29 (95% CI 1.58–3.32) for metabolically healthy overweight and 3.91 (2.46–6.21) for MHO. ORs for high cIMT were 1.44 (1.03–2.02) for unhealthy normal weight, 3.49 (2.51–4.85) for unhealthy overweight, and 6.96 (5.05–9.61) for unhealthy obesity. CONCLUSIONS Among children and adolescents, cIMT was higher for both MHO and metabolically healthy overweight compared with metabolically healthy normal weight. Our findings reinforce the need for weight control in children and adolescents irrespective of their metabolic status

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
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