82 research outputs found

    a study from ecological theory and social network analysis perspective

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    The objective of the present study was to analyze and compare the setter's decision-making (DM) in the offensive construction of the side-out (attack from the reception) in high-level men's volleyball. The sample consisted of the analysis of 132 games of the Brazilian men's volleyball Super-League 2021/2022, with 22 games for each team. The results showed that the eigenvector values were higher for setting to position 3, central attacker next to the setter, simple block, and obtaining the attack point. In addition, the setter's DM was similar between teams, suggesting that the game strategies aim to provide subsidies for the setter to make the decisions according to the game context in a flexible way and generate benefits for the attackers about the number of blockers, being that under ideal conditions and due to the lifter's correct choices in distribution, central blockers avoid anticipating the setting, and this fact allows the conditions of a single block or double-broken blocks in most cases. As a practical application, setting for the central attacker in position 3 becomes an interesting option for point acquisition and is capable of influencing the number of blockers, as well as the optimal blocking condition. Another application would be for the central attacker to position themselves close to the setter, a strategy that would enable the use of the "pipe" attack in other areas of the court with lower defensive blocking power.9E1A-F9DD-3EB8 | Filipe Manuel ClementeN/

    Fraternine, a novel wasp peptide, protects against motor impairments in 6-OHDA model of Parkinsonism

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    Parkinson’s disease (PD) is a progressive neurodegenerative condition that affects the Central Nervous System (CNS). Insect venoms show high molecular variability and selectivity in the CNS of mammals and present potential for the development of new drugs for the treatment of PD. In this study, we isolated and identified a component of the venom of the social wasp Parachartergus fraternus and evaluated its neuroprotective activity in the murine model of PD. For this purpose, the venom was filtered and separated through HPLC; fractions were analyzed through mass spectrometry and the active fraction was identified as a novel peptide, called Fraternine. We performed two behavioral tests to evaluate motor discoordination, as well as an apomorphine-induced rotation test. We also conducted an immunohistochemical assay to assess protection in TH+ neurons in the Substantia Nigra (SN) region. Group treated with 10 µg/animal of Fraternine remained longer in the rotarod compared to the lesioned group. In the apomorphine test, Fraternine decreased the number of rotations between treatments. This dose also inhibited dopaminergic neuronal loss, as indicated by immunohistochemical analysis. This study identified a novel peptide able to prevent the death of dopaminergic neurons of the SN and recover motor deficit in a 6-OHDA-induced murine model of PD

    Estudo comparativo da radiografia panorâmica digital e tomografia cone beam de alta resolução no rastreamento de lesões dos maxilares em mieloma múltiplo

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    Justificativa: O Mieloma Múltiplo (MM) é uma neoplasia hematológica maligna caracterizada pela proliferação de células plasmáticas anormais na medula óssea. A radiografia panorâmica digital e a tomografia cone beam de alta resolução são técnicas imaginológicas comumente utilizadas na avaliação de lesões ósseas maxilares. Objetivos: Avaliar a relação entre o tamanho das lesões ósseas e a sensibilidade das duas técnicas de imagem na detecção de lesões em pacientes com mieloma múltiplo. Metodologia: Estudo observacional, transversal e analítico. A amostra foi composta por 28 participantes, e os resultados foram descritos através de estatística descritivas e inferenciais, e o intervalo de confiança considerado foi de 95%. Resultados: Há diversos aspectos relevantes utilizando técnicas avançadas de diagnóstico. Um dos resultados foi a eficácia comparativa entre as técnicas empregadas, que evidenciou a superior precisão da tomografia na detecção de lesões ósseas dos maxilares (p=0,01; Mann-Whitney). Também um avanço significativo na capacidade de diagnóstico em detalhes, precoce e preciso que são estratégias fundamentais para o sucesso do tratamento. Conclusão: As técnicas de imagem para a abordagem do Mieloma Múltiplo têm melhor acurácia, sensibilidade e dimensão considerando-se a tomografia. Mas apesar das diferenças significativas deve-se analisar cada caso e técnica de forma mais holística e peculiar. Este trabalho não demonstra grandes diferenças entre os dados demográficos como faixas etárias e gênero, e a tomografia comparada à radiografia demonstra que apesar de apresentar uma pequena diferença significativa deve-se observar outros parâmetros na prática clínica

    Repercussões do Sars-Cov-2 no âmbito da cirurgia geral e medicina de emergência: uma revisão

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    Na China, em dezembro de 2019, foram relatados os primeiros casos da patologia respiratória  COVID-19, doença causado pelo SARS-CoV-2, um RNA vírus. A propagação foi veloz e global, de maneira que a Organização Mundial de Saúde definiu como pandemia em março de 2020. A doença tem manifestação clínica variada, com enfermos assintomáticos ou manifestando quadro crítico, apresentando alta transmissibilidade e letalidade considerável. Simultaneamente, indivíduos com indicação cirúrgica, de origem traumática ou não, tiveram seus atendimentos eletivos paralisados e houve queda nos índices de intervenções de cunho emergencista, tanto devido o medo do indivíduo procurar um serviço de saúde e ser contaminado pelo coronavírus, quanto por outros fatores. Essa revisão teve como objetivo averiguar como a pandemia acometeu serviços de cirurgia geral de emergência, bem como elucidar os preditores e fatores que ocasionaram mudanças no manejo e intervenções cirúrgicas durante o surto de SARS-CoV-2

    Pervasive gaps in Amazonian ecological research

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    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
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