ANÁLISE DAS SITUAÇÕES ESTRESSORAS DE EQUIPES UNIVERSITÁRIAS DE VOLEIBOL

Introdução: O desempenho dos atletas de voleibol pode ser influenciado por fatores psicológicos, havendo a necessidade de investigações sobre determinadas situações potencialmente estressantes durante o jogo. Objetivo: Investigar os fatores produtores de estresse em atletas de equipes universitárias de voleibol durante a partida de voleibol. Métodos: Participaram da pesquisa 28 atletas universitários (21,63À1,75 anos de idade). O instrumento utilizado foi o Teste de Estresse Psíquico para o Voleibol (TEP-V) constituído de 18 situações típicas de estresse durante as partidas de voleibol, sendo analisados o nível de estresse, o comportamento provável e o nível de eficiência de tal comportamento. Valores percentuais foram utilizados para a análise estatística. Resultados: A situação “Minha equipe perde o ponto em um momento decisivo por um erro meu” foi considerada a mais estressante, com 39,3% considerando estressante e 53,6% como muito estressante. O comportamento provável mais indicado pelos atletas foi o de tentar se tranquilizar e se esforçar mais mediante as situações de estresse. Conclusão: Concluiu-se que os atletas se sentem potencialmente estressados em situações características de falha individual e momentos em que não possuem o controle sobre o jogo.

Portuguese propolis: a source of valuable bioactivities

To FEDER/COMPETE/POCI– Operational Competitiveness and Internationalization Programme, under Project POCI-01-0145-FEDER-006958 and FCT - Portuguese Foundation for Science and Technology, under the project UID/AGR/04033/2013

Genome sequence of the tsetse fly (Glossina morsitans):Vector of African trypanosomiasis

Tsetse flies are the sole vectors of human African trypanosomiasis throughout sub-Saharan Africa. Both sexes of adult tsetse feed exclusively on blood and contribute to disease transmission. Notable differences between tsetse and other disease vectors include obligate microbial symbioses, viviparous reproduction, and lactation. Here, we describe the sequence and annotation of the 366-megabase Glossina morsitans morsitans genome. Analysis of the genome and the 12,308 predicted protein-encoding genes led to multiple discoveries, including chromosomal integrations of bacterial (Wolbachia) genome sequences, a family of lactation-specific proteins, reduced complement of host pathogen recognition proteins, and reduced olfaction/chemosensory associated genes. These genome data provide a foundation for research into trypanosomiasis prevention and yield important insights with broad implications for multiple aspects of tsetse biology.IS

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