A constituição do sujeito e educação possível para a criança atípica: Uma perspectiva psicanalítica

O presente texto tem como objetivo discorrer acerca das fases de constituição do sujeito na Psicanálise, enfatizando a discussão proposta pelas psicanalistas Mannoni (1990),  Kupfer (2001) e Mrech (2009), que introduz  a possibilidade de um diálogo, de uma interseção/interlocução entre pedagogia e psicanálise, de uma inter-relação entre o educacional e o terapêutico, que gera um terreno fértil para a produção de pesquisas e intervenções no contexto da educação especializada e inclusiva. &nbsp

Editorial

O Edital A Pedagogia e a sua interface com estudos socioantropológicos (Volume 04 - 2021/2),  é  uma  publicação  da  Revista Leituras em Pedagogia e Educação (RELPE),  periódico  do  Curso e Pedagogia da Universidade Federal do Tocantins, do Campus de Arraias, com o objetivo de oferecer espaço para a divulgação de artigos vinculados às seguintes temáticas: povos originários e comunidades tradicionais;  relações  étnico-raciais, culturas e matrizes religiosas, educação em espaços não escolares; educação especial; educação de Jovens e Adultos – EJA e Juventudes, conforme a Política  Nacional   de Desenvolvimento Sustentável dos Povos e Comunidades &nbsp

O significado e os sentidos das práticas escolares, nos dizeres de seis estudantes surdos, concluintes do Ensino Fundamental

O artigo trata de um recorte de pesquisa que propôs analisar a proposta do Ensino Fundamental no que tange ao significado e sentidos dessas práticas escolares, constitutivas dos dizeres de seis estudantes surdos, concluintes do Ensino Fundamental. Foram utilizados como suportes teóricos e metodológicos: Análise do Discurso de abordagem francesa (Pêcheux, 2012). sobre a construção do corpus da pesquisa foram realizadas duas entrevistas, com cada um dos participantes, seis jovens surdos de faixa etária entre 13(treze) e 26(vinte e seis) anos, alunos do Ensino Fundamental (8º e 9º anos), de uma escola da rede pública de Uberlândia – MG. As entrevistas foram realizadas em LIBRAS (Língua Brasileira de Sinais), interpretadas, simultaneamente em português (oral) e registradas em áudio e vídeo. As informações tratadas pela pesquisa sugerem que a constituição dos estudantes surdos resulta: primeiro, da relação do surdo com a sua surdez e segundo, da necessidade de acesso a uma língua para que a comunicação possa ser estabelecida, desenvolvida e ampliada na vida familiar, social, incluindo a instituição escolar

A NEUROPEDAGOGIA NO PROCESSO DE ENSINO E APRENDIZAGEM: UMA ABORDAGEM DA NEUROCIÊNCIA APLICADA À EDUCAÇÃO NO ENSINO FUNDAMENTAL I

O papel da Neuropedagogia, área da neurociência aplicada à educação, como ciência fundamental a ser estudada na formação de professores.  O estudo trata-se de uma revisão bibliográfica. O levantamento de dados científicos e a sistematização das informações são oriundas de livros e outras produções científicas publicadas de 2010 a 2020 no idioma português, indexadas em diversas bases de dados, com enfoque nos conceitos de Neuropedagogia, formação de professores e processo de ensino e aprendizagem. A Neuropedagogia é a junção entre a neurociência e a educação, dois campos científicos distintos, porém unidos se adequaram à pedagogia contemporânea. Dentro da sala de aula existe um conglomerado de pessoas que possuem configurações em sua biologia neurológica distintas, dotadas de particularidades. A Neurociência possui vasto conteúdo para auxiliar o professor no processo de ensino aprendizagem, a Neuropedagogia, se torna um campo científico de bastante relevância para a integração no currículo da formação docente

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

Statement of Second Brazilian Congress of Mechanical Ventilarion : part I

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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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others