47 research outputs found

    Esportes radicais no meio ambiente urbano no município de São Paulo

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    The observation of people looking for squares, streets, climbing walls, benches, walls and ramps around the city to have fun and exercise represents a new context of sports practice that this research seeks to reveal. The objective of this study was to recognize the places and actors of skateboarding, climbing and slakline practices and their motivations for the search of these sports. Exploratory descriptive research was used with 46 subjects, 16 climbers, 20 skaters and 10 slakliners, from the city of São Paulo, who answered a questionnaire developed specifically for these activities. The results showed that: There is predominance of males among the participants, showing a prejudice that still persists in sports practice. Climbers have a higher average age than others, perhaps due to the need for more expensive equipment, greater risks of practice and the need for courses to learn. Skaters on average have been practicing for more time, probably because the skate culture is older and consolidated in São Paulo. It is observed that in slakline all practice less than three years showing that it is a modality still recent in the national scenario. The participants of the research affirm to have learned alone, or with friends and family, evidencing in this aspect that the Physical Education is not considered like initiation. The subjects point out the gain of physical, mental and social benefits in their lives and their intention to continue the practice by quality of life, fun, physical and psychological evolution. Only 10.8% claim to compete, which shows that Extreme Sports are considered from the perspective of voluntary participation. It is concluded that Extreme Sports are being incorporated into the routine of the people, adding a new contour to the body culture, in a search for overcoming, facing challenges, control of risk, pleasure, and quality of life. There is evidence that there is a gap between the graduation in Physical Education professionals and these new practices

    Síndrome de Burnout em docentes: fatores de risco e métodos para prevenção

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    A Síndrome de Burnout tem se mostrado crescente, principalmente em profissionais da educação, onde diferentes causas têm sido remetidas ao surgimento da mesma, como carência de recursos, de suporte e pressões advindas da convivência interpessoal, gerando uma profissão de suma desenvoltura e estresse. O objetivo desse estudo é analisar através de uma revisão integrativa na literatura os principais fatores de riscos e estratégias para prevenção da SB em docentes. Trata-se de uma revisão integrativa da literatura proveniente da BVS com bases de dados da Scielo, LILACS e MEDLINE, através dos seguintes DeCS: Síndrome de Burnout”, “Docência” e “Fatores associados”, combinados entre si pelo operador booleano AND. Foram encontrados 128 estudos e selecionados 8 artigos para compor esta revisão. Os principais fatores associados a SB  descritas nos estudos foram as relações interpessoais, a falta de estrutura e ambiente adequados para o desenvolvimento do ensino, desinteresse por parte dos alunos, relação de desgaste com superiores e demais fatores como violência, assédio e questões relacionadas as necessidades humanas básicas, além de questões salariais, a desvalorização profissional e a alta jornada de trabalho. Os achados reforçam necessidade de aproximar políticas de saúde do trabalhador voltadas ao ambiente escolar/acadêmico, sobretudo na prevenção de causas de transtornos mentais relacionadas ao desenvolvimento da SB nesses profissionais

    Eficácia de intervenções imunomoduladoras para o tratamento da Esclerose Lateral Amiotrófica (ELA)

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    A esclerose lateral amiotrófica (ELA) é uma doença neurodegenerativa que afeta as células nervosas responsáveis pelo controle dos músculos voluntários, resultando em fraqueza muscular e atrofia. Nesse contexto, as intervenções imunomoduladoras têm como objetivo modular a resposta imune do organismo, ao reduzir a inflamação e possibilitar a neuroproteção, a partir do uso de anticorpos monoclonais, inibidores de citocinas e moduladores do sistema imunológico. No entanto, a eficácia de tais intervenções no tratamento da ELA ainda é incerta. Nesse sentido, o presente estudo tem como objetivo analisar a eficácia de intervenções imunomoduladoras para o tratamento da esclerose lateral amiotrófica. Para isso, foram selecionados cinco artigos que abordavam sobre a sua eficácia, por meio de uma estratégia de busca com recorte temporal entre 2017 e 2023, nas bases de dados PubMed (Medline), Cochrane Library e Embase. As intervenções imunomoduladoras, como o uso de inibidores de citocinas, têm demonstrado eficácia no tratamento da esclerose lateral amiotrófica (ELA). Além disso, há evidências de que a inflamação crônica pode estar envolvida em sua patogênese, o que sugere que a modulação do sistema imunológico pode ser uma abordagem terapêutica promissora. Em estudos clínicos recentes, a terapia com inibidores de citocinas mostrou-se capaz de reduzir a progressão da doença e melhorar a qualidade de vida dos pacientes com ELA. Ademais, há evidências que o uso de células-tronco pode melhorar o status funcional em pacientes com a doença. Entretanto, são necessários mais estudos, como ensaios clínicos randomizados e revisões sistemáticas com meta-análises, a fim de ratificar a eficácia das estratégias imunomoduladoras para a patologia

    Pervasive gaps in Amazonian ecological research

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    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

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    Síndrome de Chiari e Hidrossiringomielia com comprometimento neurológico: um relato de caso

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    A Malformação de Chiari (MC) pertence a um amplo grupo de raras deformidades estruturais da junção craniocerebelomedular. O tipo I da doença caracteriza-se pela herniação tonsilar ou amigdaliana cerebelar devido à anomalia da base do crânio e da parte superior da coluna cervical, além de a porção medial do lobo inferior do cerebelo pelo canal cervical também se protuberar através do forame magno, impedindo que o líquor flua normalmente através do canal. A real prevalência da doença é desconhecida, pois muitos pacientes com herniação cerebelar são assintomáticos e o problema agrava-se na fase adulta, com queixas de cefaleia intensa e, por vezes, parestesia. O objetivo deste estudo é relatar um caso de síndrome de Chiari (SC) em uma paciente de 53 anos, ao abordar sua apresentação clínica, diagnóstico e tratamento. Paciente do sexo feminino, 53 anos, foi admitida em um hospital da rede pública de referência se queixando de cefaleia occipital intensa e cervicalgia com irradiação da dor para os membros superiores, acompanhada de parestesia nos quatro segmentos. Relatou já sentir dor há 2 anos, mas apresentou piora do quadro clínico há 8 meses. Foi, também, observada incontinência urinária devido à dissinergia detrusora-esfincteriana por provável bexiga neurogênica. Foi, então, realizado exame de imagem de ressonância magnética (RNM) do crânio e da coluna cervical, com obtenção de sequências ponderadas em T1, T2 e STIR, nos planos sagital e transverso com contraste, o qual evidenciou leve alargamento medular, além de sinais de hidrossiringomielia difusa, com hipossinal na sequência T2 intramedular na altura de D1-D2 (coluna dorsal). Foi notada discreta herniação das tonsilas cerebelares junta ao forame magno, típica da SC, sendo, por fim, confirmado o diagnóstico. A paciente, no entanto, não apresentava hidrocefalia, mesmo com a interrupção do fluxo do líquido cefalorraquidiano (LCR) para o canal vertebral. Ela encaixou- se nos parâmetros de indicação cirúrgica, sendo realizada craniotomia occipital, com acesso ao plexo coroide do quarto ventrículo do tronco encefálico com o intuito de elevar as tonsilas cerebelares baixas, herniadas no canal espinhal cervical e bloqueando o fluxo do LCR. Após a descompressão craniocervical, o curso do líquor foi restaurado e a paciente foi, por fim, encaminhada à sala de recuperação pós-operatória. A SC é uma rara doença que apresenta quadro clínico e alterações radiológicas complexas e extensas e, por vezes, o diagnóstico é retardado devido à inespecificidade dos sintomas confundidos com cervicalgias e cefaleias comuns. A hipótese diagnóstica deve ser embasada nas queixas do paciente, na anamnese minuciosa, exame clínico e nos exames de imagens, sendo a prevalência desta patologia de difícil definição e com faixas etárias distintas

    Mapping density, diversity and species-richness of the Amazon tree flora

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    Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

    ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

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    Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

    Pervasive gaps in Amazonian ecological research

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    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

    Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

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    In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics
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