O PROCESSO DE APRENDIZAGEM DA LIBRAS NA FORMAÇÃO DE PROFESSORES DA UNIVERSIDADE TIRADENTES

O presente artigo é uma análise do processo de aprendizagem da Língua brasileira de Sinais (Libras) nos cursos de Licenciatura da Universidade Tiradentes. A pesquisa foi realizada com alunos dos cursos de licenciatura da instituição que já cursaram a disciplina de Libras. O objetivo é saber se e como a Unit prepara seus alunos para trabalharem com o deficiente auditivo. Para isso foram aplicados questionários numa perspectiva qualitativa que foram de fundamental importância para obtenção de resultados para conclusão da pesquisa. Esta teve ainda como fundamento principal as leis que estão descritas ao longo do texto ressaltando a obrigatoriedade da disciplina de Libras nas Licenciaturas.

Forma, informe, formação: considerações sobre o saber morfológico em Georges Didi-Huberman

O teórico francês Georges Didi-Huberman desenvolve um campo lexical que atrela a ideia de imagem à forma, à plasticidade, ao ritmo e à força de sua aparição. Todo um vocabulário morfológico é desenvolvido a partir da observação tanto de espécies animais, como as falenas, quanto do reino vegetal, e mesmo de obras artísticas teoricamente destituídas de dinamismo, como as do minimalismo. Diante da extrema variabilidade de matérias sobre as quais a teoria didi-hubermaniana se detém, o presente artigo visa investigar as condições em que a noção de forma se apresenta como operador conceitual, de modo a compreender os outros paradigmas da arte que o crítico francês elabora, apoiado em uma reformulação do conceito.  Enviado em: 18 de outubro de 2016.Aprovado em: 01 de dezembro de 2016.

A CI, a Covid-19 e os estados emocionais dos usuários no twitter

This is an exploratory research corpus with the purpose of observing the emotional states of users on Twitter during the pandemic that we are going through. The corpus was composed by published tweets that brought in the text the terms “quarantine” or “social isolation” and in its treatment the R Language was used for the techniques of Text Mining and Sentiment Analysis. The results highlighted “love”, “fear”, “guilty”, “anxiety”, “boredom” and “anger” as emotional states expressed with more intensity in the research framework.Trata-se de uma pesquisa exploratória com o objetivo deobservar os estados emocionais dos usuários do Twitter durante a pandemia pela qual estamos passando. O corpusfoi composto dos tweetspublicados que trouxeram em seu texto os termos “quarentena” ou “isolamento social” e seu tratamento utilizou a linguagem R para as técnicas de Mineração de Texto e Análise de Sentimentos. Os resultados evidenciaram “amor”, “medo”, “culpa”, “ansiedade”, “tédio” e “raiva” como os estados emocionais expressos com maior intensidade no recorte desta pesquisa

Effects of blood flow restriction therapy in patients with knee osteoarthritis: protocol for an overview of systematic reviews

BackgroundOsteoarthritis (OA) is the most common and prevalent musculoskeletal disease associated with population aging, negatively impacting function and quality of life. A consequence of knee OA is quadriceps muscle weakness. Musculoskeletal rehabilitation using low load exercises, associated with Blood Flow Restriction (BFR) may be a useful alternative to high load exercises when those cannot be tolerated. Several systematic reviews have reported inconclusive results due to discrepancies in study findings, heterogeneity of results, evaluated time points, and research questions explored.ObjectiveTo perform an overview of systematic reviews with meta-analyses, synthesizing the most recent evidence on the effects of muscle strength training with BFR for knee OA.MethodologySystematic reviews that include primary controlled and randomized clinical trials will be considered for inclusion. Articles will be considered only if they present a clear and reproducible methodological structure, and when they clearly demonstrate that a critical analysis of the evidence was carried out using instrumented analysis. Narrative reviews, other types of review, overviews of systematic reviews, and diagnostic, prognostic and economic evaluation studies will be excluded. Studies must include adults aged 40 years and older with a diagnosis of knee OA. Two authors will perform an electronic search with guidance from an experienced librarian. The following databases will be searched: PubMed via MEDLINE, Embase, CENTRAL (Cochrane Central Register of Controlled Trials), PEDro, Cumulative Index to Nursing and Allied Health Literature (CINAHL) via EBSCO host, Web of Science, and the gray literature. The search strategy used in the databases will follow the acronym PICOS (population, intervention, comparison, outcome, and study design). Screening (i.e., titles and abstracts) of studies identified by the search strategy will be selected using Rayyan (http://rayyan.qcri.org). The quality assessment will be performed using the “Assessment of Multiple Systematic Reviews” (AMSTAR-2) tool.Systematic Review RegistrationPROSPERO, CRD42022367209

Aspectos anatomopatológicos do paciente portador de Pneumonia: Anatomopathological aspects of the patient with Pneumonia

A pneumonia condiz a uma condensação inflamatória aguda dos alvéolos e/ou infiltração tecidual intersticial pulmonar que resulta da ação de células inflamatórias em resposta a injúrias de um determinado agente microbiano. A patologia conforme o local de aquisição, o padrão de comprometimento, o agente etiológico são determinantes para o quadro clínico, lesões e achados radiográficos. O seguinte artigo objetivou descrever através da revisão bibliográfica, os aspectos gerais da pneumonia com foco em abordar os aspectos anatomopatológicos desta enfermidade. Trata-se  de  um  estudo qualitativo  de  revisão  narrativa,  elaborado  para  abordar  sobre os aspectos anatomopatológicos do paciente portador de pneumonia.  É composta por uma análise ampla da literatura, e com uma metodologia rigorosa e replicável ao nível de reprodução de dados e questões quantitativas para resoluções específicas.  Conforme as informações disponíveis na literatura, elucida-se que os pulmões contam com um aparato de mecanismos de defesa. Mas, mediante injúrias e agentes agressores geram um desequilíbrios e posteriormente originam condições que favorecem doenças respiratórias. A pneumonia possui vários agentes etiológicos, e de acordo com este, distintos padrões de acometimento pulmonar e achados radiográficos irão se manifestar

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

The complete genome sequence of Chromobacterium violaceum reveals remarkable and exploitable bacterial adaptability

Chromobacterium violaceum is one of millions of species of free-living microorganisms that populate the soil and water in the extant areas of tropical biodiversity around the world. Its complete genome sequence reveals (i) extensive alternative pathways for energy generation, (ii) ≈500 ORFs for transport-related proteins, (iii) complex and extensive systems for stress adaptation and motility, and (iv) wide-spread utilization of quorum sensing for control of inducible systems, all of which underpin the versatility and adaptability of the organism. The genome also contains extensive but incomplete arrays of ORFs coding for proteins associated with mammalian pathogenicity, possibly involved in the occasional but often fatal cases of human C. violaceum infection. There is, in addition, a series of previously unknown but important enzymes and secondary metabolites including paraquat-inducible proteins, drug and heavy-metal-resistance proteins, multiple chitinases, and proteins for the detoxification of xenobiotics that may have biotechnological applications

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