A preparação para a interpretação em libras : a partir de uma proposta de tarefa de reconhecimento de tradução

O presente trabalho consiste em elaborar uma Tarefa de Reconhecimento de Tradução (TRT), apresentando o processo de criação da mesma e oportunizando uma discussão da importância da preparação para atuação na interpretação de Língua Brasileira de Sinais (doravante, Libras). Este tema, preparação para atuar na interpretação, é recorrente nas formações continuadas e na formação de base de um Intérprete de Língua de Sinais (ILS), gerando muitas discussões em torno do assunto. O trabalho tem como objetivo geral elaborar uma Tarefa de Reconhecimento de Tradução com o propósito de verificar o efeito de preparação prévia de vocabulário na atuação de intérprete de Libras em interpretação simultânea. Para tanto, os objetivos específicos são: (I) Discutir o papel da preparação do Intérprete de Libras para uma atuação na interpretação simultânea; (II) Apresentar a organização de uma Tarefa de Reconhecimento de Tradução; (III) Avaliar a versão piloto da Tarefa de Reconhecimento de Tradução. A hipótese estabelecida na criação da Tarefa de Reconhecimento de Tradução é de que a preparação causa efeito na atuação do Intérprete de Libras. A TRT foi composta por um vocabulário especializado, com base inicial de uma pesquisa terminológica da área LGBTI+ desenvolvida pelo GETLibras (Grupo de Estudos de Língua Brasileira de Sinais) da UFRGS. A TRT foi desenvolvida e testada para verificar também sua funcionalidade e adequação para, assim, futuramente poder ser aplicada em uma amostra maior.The present work consists in elaborating a Translation Recognition Task (TRT), presenting the process of its creation and providing a discussion of the importance of preparation for acting in the interpretation of Brazilian Sign Language (hereafter, Libras). This theme, preparation for acting in interpretation, is recurrent in the continuing training and basic training of a Sign Language Interpreter (ILS), generating many discussions around the subject. The general objective of this work is to elaborate a Translation Recognition Task with the purpose of verifying the effect of previous vocabulary preparation on the performance of Libras interpreter in simultaneous interpretation. For this purpose, the specific objectives are: (i) To discuss the role of the preparation of the Libras Interpreter for a performance in simultaneous interpretation; (II) Introduce the organization of a Translation Recognition Task; (III) Evaluate the pilot version of the Translation Recognition Task. The hypothesis established in the creation of the Translation Recognition Task is that the preparation has an effect on the Libra Interpreter's performance. The TRT was composed of a specialized vocabulary, initially based on terminology research in the LGBTI+ area developed by GETLibras (Brazilian Sign Language Study Group) of UFRGS. The TRT was developed and tested also to verify its functionality and suitability so that it can be applied to a larger sample in the future.El presente trabajo consiste en elaborar una tarea de reconocimiento de traducción (TRT), presentando el proceso de su creación y una discusión sobre la importancia de la preparación para actuar en la interpretación de la Lengua Brasileña de Señas (Libras). Este tema, preparación para actuar en interpretación, es recurrente en la capacitación y en la formación básica de un Intérprete de Lengua de Señas (ILS) y ha generado muchas discusiones. El objetivo general de este trabajo es desarrollar una TRT con el fin de verificar el efecto de la preparación del vocabulario en la actuación del intérprete de Libras en la interpretación simultánea. Por lo tanto, los objetivos específicos son: (I) discutir el papel de la preparación del intérprete de Libras para una actuación en la interpretación simultánea; (II) presentar la organización de una TRT; (III) analizar la versión piloto de la TRT. La hipótesis establecida en la creación de la TRT es que la preparación tiene un efecto en el desempeño del intérprete de Libras. La TRT se produjo con un vocabulario especializado, inicialmente basado en una investigación terminológica en el área LGBTI+ desarrollada por GETLibras (Grupo de Estudios de Libras) de UFRGS. La TRT ha sido desarrollada y probada para verificar también su funcionalidad y su adecuación para que, en el futuro, se pueda aplicar a una muestra más grande

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 list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

The germline mutational landscape of BRCA1 and BRCA2 in Brazil

The detection of germline mutations in BRCA1 and BRCA2 is essential to the formulation of clinical management strategies, and in Brazil, there is limited access to these services, mainly due to the costs/availability of genetic testing. Aiming at the identification of recurrent mutations that could be included in a low-cost mutation panel, used as a first screening approach, we compiled the testing reports of 649 probands with pathogenic/likely pathogenic variants referred to 28 public and private health care centers distributed across 11 Brazilian States. Overall, 126 and 103 distinct mutations were identified in BRCA1 and BRCA2, respectively. Twenty-six novel variants were reported from both genes, and BRCA2 showed higher mutational heterogeneity. Some recurrent mutations were reported exclusively in certain geographic regions, suggesting a founder effect. Our findings confirm that there is significant molecular heterogeneity in these genes among Brazilian carriers, while also suggesting that this heterogeneity precludes the use of screening protocols that include recurrent mutation testing only. This is the first study to show that profiles of recurrent mutations may be unique to different Brazilian regions. These data should be explored in larger regional cohorts to determine if screening with a panel of recurrent mutations would be effective.This work was supported in part by grants from Barretos Cancer Hospital (FINEP - CT-INFRA, 02/2010), Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP, 2013/24633-2 and 2103/23277-8), Fundação de Apoio à Pesquisa do Rio Grande do Norte (FAPERN), Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS), Ministério da Saúde, the Breast Cancer Research Foundation (Avon grant #02-2013-044) and National Institute of Health/National Cancer Institute (grant #RC4 CA153828-01) for the Clinical Cancer Genomics Community Research Network. Support in part was provided by grants from Fundo de Incentivo a Pesquisa e Eventos (FIPE) from Hospital de Clínicas de Porto Alegre, by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES, BioComputacional 3381/2013, Rede de Pesquisa em Genômica Populacional Humana), Secretaria da Saúde do Estado da Bahia (SESAB), Laboratório de Imunologia e Biologia Molecular (UFBA), INCT pra Controle do Câncer and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). RMR and PAP are recipients of CNPq Productivity Grants, and Bárbara Alemar received a grant from the same agencyinfo:eu-repo/semantics/publishedVersio

Educomunicação em Tempos de Pandemia:

Os textos que compõem esta obra são oriundos do VIII Colóquio Ibero-americano de Educomunicação (VIII CIEducom) e IX Colóquio Catarinense de Educomunicação (IX CCEducom), realizados em março de 2021. Em um ano no qual o vírus SARS-CoV-2 e variantes circularam por diversos territórios, Educomunicação em tempos de pandemia: práticas e desafios foi o tema discutido nos eventos. Este livro colocado à disposição do público é um modo de compartilhar caminhos e convidar pessoas curiosas a percorrerem, por meio das palavras e recursos gráficos, desafios identificados e estratégias para o enfrentamento deste inesperado período de pandemia

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

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

Geography and ecology shape the phylogenetic composition of Amazonian tree communities

Aim: Amazonia hosts more tree species from numerous evolutionary lineages, both young and ancient, than any other biogeographic region. Previous studies have shown that tree lineages colonized multiple edaphic environments and dispersed widely across Amazonia, leading to a hypothesis, which we test, that lineages should not be strongly associated with either geographic regions or edaphic forest types. Location: Amazonia. Taxon: Angiosperms (Magnoliids; Monocots; Eudicots). Methods: Data for the abundance of 5082 tree species in 1989 plots were combined with a mega-phylogeny. We applied evolutionary ordination to assess how phylogenetic composition varies across Amazonia. We used variation partitioning and Moran\u27s eigenvector maps (MEM) to test and quantify the separate and joint contributions of spatial and environmental variables to explain the phylogenetic composition of plots. We tested the indicator value of lineages for geographic regions and edaphic forest types and mapped associations onto the phylogeny. Results: In the terra firme and várzea forest types, the phylogenetic composition varies by geographic region, but the igapó and white-sand forest types retain a unique evolutionary signature regardless of region. Overall, we find that soil chemistry, climate and topography explain 24% of the variation in phylogenetic composition, with 79% of that variation being spatially structured (R$^{2}$ = 19% overall for combined spatial/environmental effects). The phylogenetic composition also shows substantial spatial patterns not related to the environmental variables we quantified (R$^{2}$ = 28%). A greater number of lineages were significant indicators of geographic regions than forest types. Main Conclusion: Numerous tree lineages, including some ancient ones (>66 Ma), show strong associations with geographic regions and edaphic forest types of Amazonia. This shows that specialization in specific edaphic environments has played a long-standing role in the evolutionary assembly of Amazonian forests. Furthermore, many lineages, even those that have dispersed across Amazonia, dominate within a specific region, likely because of phylogenetically conserved niches for environmental conditions that are prevalent within regions