MICHEL FOUCAULT LAW, POLITICS AND POWER

O objetivo deste artigo é discutir os conceitos de direito, política e poder em Michel Foucault, bem como algumas inter-relações possíveis entre ambos. Justifica-se a presente proposta, tendo em vista que a alguns semestres esse autor vem sendo discutido com acadêmicos de um curso de direito no qual atuo de, modo que, algumas percepções podem ser pensadas e ampliadas a partir desse autor. Parte-se do questionamento sobre se as nuances da obra do referido autor, são de fato base para se pensar o direito na contemporaneidade, tendo em vista que, o mesmo não escreve diretamente para este campo, embora tangencie temas que dizem respeito ao direito como um todo. A hipótese padrão é a de que Foucault e Direito tem uma relação conceitual a partir do fato de que ambos estão a olhar para questões de ordem social e estrutural. A metodologia da pesquisa recorre aos escritos originais do autor, bem como comentários que possam dinamizar a análise preterida. Pretende-se por resultados, ampliar o debate acadêmico sobre esse que se considera um dos principais teóricos da atualidade.The aim of this article is to discuss the concepts of law, politics and power in Michel Foucault, as well as some possible interrelations between both. This proposal is justified because some semesters have been discussed with academics of a course of law in which I act, so that some perceptions can be thought and amplified from this author. It starts from the questioning underneath the nuances of the work of the said author, are in fact base to think the right in the contemporaneity, considering that, the same one does not write directly for this field, although it touches on subjects that concern the law as a everything. The standard hypothesis is that Foucault and Law have a conceptual relationship from the fact that both are looking at social and structural issues. The research methodology uses the author's authoritative writings, as well as comments that can dynamize the analysis that has been deprecated. It is intended by results, to broaden the academic debate on what is considered one of the main theoreticians of the present time

Pervasive gaps in Amazonian ecological research

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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Prevalência de sobrepeso e obesidade em alunos de uma escola pública

Prevalence of overweight and obesity in a public school students Introduction: Obesity in children is currently considered a major problem of modern society. This evil reaches elevated portion of the child population and is considered a risk factor for the development of hypertension. Aim: To identify the prevalence of overweight and obesity in school children, and verify its relationship with blood pressure. Materials and methods: Were evaluated 56 children, students of a public school in Uba-MG, aged between 8 and 10 years. For the determination of overweight and obesity, we used the body mass index (BMI) and, in addition, the auscultatory method for measuring blood pressure. Student's t test was used to compare the average of the independent groups (<10 years and 10 years), and Pearson correlation coefficients to assess the relationship between BMI and blood pressure. Results: The prevalence of overweight and obesity were respectively 30.50% and 14%, with an average of BMI major on group of 10 years, compared to groups with less than 10 years (p <0.05). Regarding blood pressure, 33.93% of the subjects were classified as hypertensive and 1.79% showed borderline blood pressure values. However, no correlation was found between BMI and pressure levels of the investigated students. Conclusion: The prevalence of overweight / obesity and hypertension in the present study presented high, but no relationship between the two variables, being interesting to conduct measures aimed at modifying eating habits and children's physical activity.A obesidade em crianças, atualmente, é considerada um grande problema da sociedade moderna. Esse mal atinge elevada porção da população infantil e é considerado fator de risco para o desenvolvimento da hipertensão arterial sistêmica. Objetivo: Identificar a prevalência de sobrepeso e obesidade em crianças escolares, e verificar sua relação com a pressão arterial. Materiais e métodos: Foram avaliadas 56 crianças, estudantes de uma escola pública de Ubá-MG, na faixa etária entre 8 e 10 anos. Para a determinação do sobrepeso e obesidade, foi utilizado o índice de massa corporal (IMC) e, além disso, o método auscultatório para a verificação da pressão arterial. Foi realizado o teste t Student para comparação da média entre os grupos independentes (< 10 anos e 10 anos), e a correlação linear de Pearson para verificar a relação entre o IMC e a pressão arterial. Resultados: As prevalências de sobrepeso e obesidade foram de, respectivamente, 30,50% e 14%, com a média de IMC maior no grupo de 10 anos, comparado ao grupo menor que 10 anos (p<0,05). Em relação a pressão arterial, 33,93% dos indivíduos foram classificados como hipertensos e 1,79% apresentou valores limítrofes da pressão arterial. Porém, não foi encontrada correlação entre o IMC e os níveis pressóricos dos alunos investigados. Conclusão: A prevalência de sobrepeso/obesidade e hipertensão arterial obtida no presente estudo se apresentou elevada, mas sem relação entre as duas variáveis, sendo interessante a realização de medidas, com vistas à modificação dos hábitos alimentares e de atividade física das crianças