Body practices in Juiz de Fora (1876-1915)

Until the 1920s, Juiz de Fora was considered the main city of Minas Gerais for its economic strength and cultural development. The city is located next to Rio de Janeiro and experienced an intense process of modernization as from the second half of the nineteenth century. Our work explores the development of body practices in Juiz de Fora (MG) between 1876 and 1915, through the major tabloid published in the city, the newspaper entitled 'O Pharol'. Symbols of modernity, the body practices were developed in Juiz de Fora under the principles of health education (hygiene), and the logics of fun and entertainment.Até a década de 1920, Juiz de Fora era considerada a principal cidade de Minas Gerais, por sua pujança econômica e por seu desenvolvimento cultural. A cidade está localizada próxima ao Rio de Janeiro e vivenciou um intenso processo de modernização a partir da segunda metade do século XIX. Nosso trabalho analisa o desenvolvimento das práticas corporais em Juiz de Fora (MG), entre 1876 e 1915, através do principal periódico publicado na cidade, o jornal O Pharol. Símbolos da modernidade, as práticas corporais foram desenvolvidas em Juiz de Fora, na perspectiva da educação para a saúde (higiene), bem como na lógica do divertimento e do espetáculo

ESPAÇO, PUNIÇÃO E RECOMPENSA NO IMPERIAL COLLEGIO DE PEDRO SEGUNDO

O presente artigo analisa a dimensão educativa (FRAGO, 1998) de espaços do Imperial Collegio de Pedro Segundo (CPII), instituição de ensino secundário fundada no Rio de Janeiro em 1837. A organização inicial dos espaços para abrigar o CPII, sua inscrição no centro da cidade carioca e a criação do Internato em 1857 compõem nossas reflexões. Em especial, destacamos a dimensão simbólica das práticas de punição e recompensa que o CPII implementou na Cafua e no Salão Nobre, respectivamente. Em conclusão, notamos a força do discurso higiênico na organização dos espaços do CPII. Percebemos também que o CPII organizou um conjunto de práticas que envolveu exames, castigos e prêmios como técnicas de individuação (FOUCAULT, 1986) cujo objetivo era coibir os atos reprováveis e distinguir os alunos mais talentosos da instituição

Caderno de pós-graduação em direito: novas tendências do direito ambiental

Pioneirismo sempre foi uma característica do UniCEUB; outra característica é a evolução permanente. A Instituição sempre acompanhou a evolução tecnológica e pedagógica do ensino. Isso se coaduna com a filosofia institucional que é a de preparar o homem integral por meio da busca do conhecimento e da verdade, assegurando-lhe a compreensão adequada de si mesmo e de sua responsabilidade social e profissional. Destarte, a missão institucional é a de gerar, sistematizar e disseminar o conhecimento visando à formação de cidadãos reflexivos e empreendedores, comprometidos com o desenvolvimento socioeconômico sustentável. E não poderia ser diferente. Com a expansão do conteúdo acadêmico que se transpassa do físico para o virtual, do local para o universal, do restrito para o difundido, isso porque o papel não é mais apenas uma substância constituída por elementos fibrosos de origem vegetal, os quais formam uma pasta que se faz secar sob a forma de folhas delgadas donde se cria, modifica, transforma letras em palavras; palavras em textos; textos em conhecimento, não! O papel se virtualiza, se desenvolve, agora, no infinito, rebuscado de informações. Assim, o UniCEUB acompanha essa evolução. É dessa forma que se desafia o leitor a compreender a atualidade, com a fonte que ora se entrega à leitura virtual, chamada de e-book. Isso é resultado do esforço permanente, da incorporação da ciência desenvolvida no ambiente acadêmico, cujo resultado desperta emoção, um sentimento de beleza de que o conteúdo científico representa o diferencial profissional. Portanto, convido-os a leitura desta obra, que reúne uma sucessão de artigos que são apresentados com grande presteza e maestria; com conteúdo forte e impactante; com sentimento e método, frutos da excelência acadêmicaOrganizadores: Gabriel R. Rozendo Pinto, Leandro Soares Nunes, Naiara Ferreira Martins, Paulo Victor Lima, Pedro Almeida Costa, Pietro Pimenta, Rodrigo Gonçalves Ramos de Oliveir

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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

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