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

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

Immunohistochemical detection of Treponema pallidum in skin samples with clinical and histopathological correlations and Warthin-Starry staining critical analysis

Abstract Background: Syphilis in its different phases may be a difficult diagnosis in clinical and histopathological grounds. Objectives: The present study objectives were to evaluate the detection and tissue distribution of Treponema pallidum in skin lesions of syphilis. Methods: A blinded diagnostic accuracy study was performed with immunohistochemistry and Warthin-Starry silver staining in skin samples from patients with syphilis and other diseases. Patients attended two tertiary hospitals between 2000 and 2019. Prevalence ratios (PR) and 95% confidence intervals (95% CI) were calculated for the association between immunohistochemistry positivity and clinical-histopathological variables. Results: Thirty-eight patients with syphilis and their 40 biopsy specimens were included in the study. Thirty-six skin samples were used as non-syphilis controls. The Warthin-Starry technique was unable to accurately demonstrate bacteria in all samples. Immunohistochemistry showed spirochetes only in skin samples from patients with syphilis (24/40) with 60% sensitivity (95% CI 44.8-75.2). Specificity was 100% and accuracy, 78.9% (95% CI 69.8-88.1). Most cases had spirochetes in both dermis and epidermis and there was a high bacterial load. Study limitations: Correlation between immunohistochemistry and clinical or histopathological characteristics was observed but was limited statistically due to the small sample size. Conclusions: Spirochetes were promptly seen in an immunohistochemistry protocol, which can contribute to the diagnosis of syphilis in skin biopsy samples. On the other hand, the Warthin-Starry technique showed to be of no practical value

Uma análise crítica do discurso de preceptores em processo de formação pedagógica

Resumo Neste trabalho é analisada a construção coletiva de um discurso pedagógico realizado por preceptores do campo da saúde que passaram por um processo de formação pedagógica. Preceptores são profissionais que, em sua prática clínica, atuam como educadores, acompanhando discentes e residentes em formação. O artigo é constituído por duas partes: A Prática da Preceptoria em Saúde, em que se trata de sua definição, problemas e desafios, apontando um curso de formação como uma estratégia educacional relevante; e Análise Crítica do Discurso, em que se usa metodologia homônima para se debruçar sobre as sínteses coletivas dos preceptores, no sentido de melhor entender os discursos presentes em seus textos e avaliar a apropriação dos conteúdos trabalhados. Constatou-se que, ao mesmo tempo em que a produção discursiva coletiva é um exercício pedagógico enriquecedor, também é um processo desafiador que demanda paciência e dedicação das partes envolvidas para se alcançar o objetivo proposto

Núcleos de Ensino da Unesp: artigos 2007

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq