O plano de uso e o modo de vida na Reserva Extrativista Mapuá, município de Breves – Pará

Este trabalho analisa como o plano de uso da Reserva Extrativista Mapuá, município de Breves-PA, se enquadra no modo de vida dos moradores. O trabalho foi realizado em duas etapas: viagens de campo; sistematização e refinamento dos dados levantados. A primeira etapa foi realizada em três momentos por uma equipe de seis discentes do curso Latu Sensu em Agriculturas Familiares Amazônicas e Desenvolvimento Agroambiental da Universidade Federal do Pará. As análises foram feitas a partir de entrevistas realizadas com moradores das comunidades São Sebastião, Bom Jesus e Vila Amélia. Constatou-se que o plano de uso ajuda no modo de viver da grande maioria das famílias entrevistadas

Thermal image segmentation in studies of wildlife animals

Thermal imaging analysis is an important tool in the study of wildlife animals. The segmentation of thermal images has not extensively explored by the Ecology and Biology communities. In this paper we propose a new approach for segmenting thermal images using the SLIC superpixel algorithm and connected component labeling. Experiments were performed on images taken over the behaviour activity of four mammal species. The results show that our approach has a great potential for partioning animals and background.IPÊ - Instituto de Pesquisas Ecológica

Risk factors for infection, predictors of severe disease, and antibody response to COVID-19 in patients with inflammatory rheumatic diseases in Portugal: a multicenter, nationwide study

Copyright © 2022 Cruz-Machado, Barreira, Bandeira, Veldhoen, Gomes, Serrano, Duarte, Rato, Miguel Fernandes, Garcia, Pinheiro, Bernardes, Madeira, Miguel, Torres, Bento Silva, Pestana, Almeida, Mazeda, Cunha Santos, Pinto, Sousa, Parente, Sequeira, Santos, Fonseca and Romão. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.Objective: To identify risk factors for SARS-CoV-2 infection and for severe/critical COVID-19, and to assess the humoral response after COVID-19 in these patients. Methods: Nationwide study of adult patients with inflammatory RMDs prospectively followed in the Rheumatic Diseases Portuguese Register-Reuma.pt-during the first 6 months of the pandemic. We compared patients with COVID-19 with those who did not develop the disease and patients with mild/moderate disease with those exhibiting severe/critical COVID-19. IgG antibodies against SARS-CoV-2 were measured ≥3 months after infection and results were compared with matched controls. Results: 162 cases of COVID-19 were registered in a total of 6,363 appointments. Patients treated with TNF inhibitors (TNFi; OR = 0.160, 95% CI 0.099-0.260, P < 0.001) and tocilizumab (OR 0.147, 95% CI 0.053-0.408, P < 0.001) had reduced odds of infection. Further, TNFi tended to be protective of severe and critical disease. Older age, major comorbidities, and rituximab were associated with an increased risk of infection and worse prognosis. Most patients with inflammatory RMDs (86.2%) developed a robust antibody response. Seroconversion was associated with symptomatic disease (OR 13.46, 95% CI 2.21-81.85, P = 0.005) and tended to be blunted by TNFi (OR 0.17, 95% CI 0.03-1.05; P = 0.057). Conclusions: TNFi and tocilizumab reduced the risk of infection by SARS-CoV-2. Treatment with TNFi also tended to reduce rates of severe disease and seroconversion. Older age, general comorbidities and rituximab were associated with increased risk for infection and worse prognosis, in line with previous reports. Most patients with RMDs developed a proper antibody response after COVID-19, particularly if they had symptomatic disease.We acknowledge the generous sharing of the expression constructs by Dr. Florian Krammer, Icahn School of Medicine at Mount Sinai, New York, USA [Development of SARS-CoV-2 reagents was partially supported by the NIAID Centers of Excellence for Influenza Research and Surveillance (CEIRS) contract HHSN272201400008C] and the protein production by Drs. Paula Alves and Rute Castro at Instituto de Biologia Experimental e Tecnológica (iBET) Oeiras, Portugal as part of the Serology COVID consortium.info:eu-repo/semantics/publishedVersio

Data standardization of plant–pollinator interactions

Background: Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results: Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions: The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of termsinfo:eu-repo/semantics/publishedVersio

Erratum to: The study of cardiovascular risk in adolescents – ERICA: rationale, design and sample characteristics of a national survey examining cardiovascular risk factor profile in Brazilian adolescents

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