13 research outputs found

    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

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    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

    COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

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    Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

    Association among residual feed intake, residual body weight gain, residual intake and body weight gain and temperament of Nellore cattle

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    A study was conducted to investigate association among residual feed intake (RFI), residual body weight gain (RG), residual intake and body weight gain (RIG) and temperament of Nellore (Bos indicus) young bulls (n = 44; 387 + 22 kg initial body weight; 22 + 1 mo of age). Animals were evaluated for temperament at feedlot entry (d 0). Individual temperament scores were calculated by averaging steer chute score (5-point scale: 1 = calm, no movement; 5 = violent and continuous efforts) and exit score (calculated by dividing exit velocity results into quintiles; 1 = slowest steers; 5 = fastest steers). Animals were also classified according to temperament type [adequate temperament (ADQ) or excitable temperament (EXC)]. Animals were maintained in individual drylot pens (8 m²) and individual feed intake was measured during the trial period (d 0 to 109; finishing phase) to determine daily dry matter intake (DMI). Body weights (BW) were measured on d 0 and d 109 to determine the average daily gain (ADG). The DMI and ADG were used to determine the RFI. Residual body weight gain was calculated based on the regression of BW0.75 and feed intake. Residual intake and body weight gain was determined from linear combination into RFI and RG. Data were analyzed using PROC MIXED in SAS with fixed effects of temperament; animal was experimental unit. No differences (P > 0.05) were detected for RFI (-0.05 vs. 0.01, for ADQ and EXC steers, respectively; SE = 0.18) and RIG (0.04 vs. -0.05, for ADQ and EXC steers, respectively; SE = 0.20) between temperament types. However, ADQ steers had greater RG (P = 0.02) than EXC steers (0.05 vs. -0.10, for ADQ and EXC steers, respectively; SE = 0.06). In conclusion, residual gain is associated with temperament and it is independent of differences in feed intake in Nellore cattle.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

    De jure sacro: a inquisição nas vilas d'El Rei De jure sacro: the inquisition in the villages of the king

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    Esse artigo tem por objetivo divulgar as denúncias registradas nos Cadernos do Promotor relativos a Minas Gerais, pertencentes ao fundo da Inquisição de Lisboa, depositados no Arquivo Nacional da Torre de Tombo/Portugal, com ênfase nos estudos de caso relativos a São João del-Rei e Tiradentes<br>The purpose of this article is to make known the accusations registered in the Lisbon Inquisition's Cadernos do Promotor (Prosecutor'S Notebooks) and the prosecuted cases pertaining to Minas Gerais, especially the villages of São João del-Rei and Tiradentes. These sources are deposited in Portugal's Arquivo Nacional da Torre de Tombo/Lisbo

    Revisão sistematizada da literatura e opinião de peritos

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    Objective: The 3E (Evidence, Expertise, Exchange) Initiative is a multinational effort of rheumatologists aimed at developing evidence-based recommendations addressing specific questions relevant to clinical practice. The objective of the Portuguese contribution for the 3E Initiative was to develop evidence-based recommendations on how to investigate, follow-up and treat undifferentiated peripheral inflammatory arthritis (UPIA) adapted to local reality and develop additional recommendations considered relevant in the national context. Methods: An international scientific committee from 17 countries selected a set of questions concerning the diagnosis and monitoring of UPIA using a Delphi procedure. Evidence-based answers to each question were sought by a systematic literature search, performed in Medline, Embase, the Cochrane Library and ACR/EULAR 2007-2009 meeting abstracts. Relevant articles were reviewed for quality assessment, data extraction and synthesis. In a national meeting, a panel of 63 Portuguese rheumatologists used the evidence which was gathered to develop recommendations, and filled the gaps in the evidence with their expert opinion. Finally, national recommendations were formulated and agreement among the participants was assessed. Results: A total of 54754 references were identified, of which 267 were systematically reviewed. Thirteen national key recommendations about the investigation, follow-up and treatment of UPIA were formulated. One recommendation addressed differential diagnosis and investigations prior to the established operational diagnosis of UPIA, eight recommendations were related to the diagnostic and prognostic value of clinical and laboratory assessments in established UPIA (history and physical examination, acute phase reactants, serologies, autoantibodies, radiographs, magnetic resonance imaging and ultrasound, genetic markers and synovial biopsy), one recommendation highlighted predictors of persistence (chronicity), one addressed monitoring of clinical disease activity in UPIA, one aimed to find an useful method/score to predict a definitive diagnosis and the last one was related to treatment. Conclusion: Portuguese evidence-based recommendations for the management of UPIA in everyday practice were developed. Their dissemination and implementation in daily clinical practice should help to improve practice uniformity and optimize the management of UPIA patients.publishersversionpublishe

    AMAZONIA CAMTRAP: A data set of mammal, bird, and reptile species recorded with camera traps in the Amazon forest

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    The Amazon forest has the highest biodiversity on Earth. However, information on Amazonian vertebrate diversity is still deficient and scattered across the published, peer-reviewed, and gray literature and in unpublished raw data. Camera traps are an effective non-invasive method of surveying vertebrates, applicable to different scales of time and space. In this study, we organized and standardized camera trap records from different Amazon regions to compile the most extensive data set of inventories of mammal, bird, and reptile species ever assembled for the area. The complete data set comprises 154,123 records of 317 species (185 birds, 119 mammals, and 13 reptiles) gathered from surveys from the Amazonian portion of eight countries (Brazil, Bolivia, Colombia, Ecuador, French Guiana, Peru, Suriname, and Venezuela). The most frequently recorded species per taxa were: mammals: Cuniculus paca (11,907 records); birds: Pauxi tuberosa (3713 records); and reptiles: Tupinambis teguixin (716 records). The information detailed in this data paper opens up opportunities for new ecological studies at different spatial and temporal scales, allowing for a more accurate evaluation of the effects of habitat loss, fragmentation, climate change, and other human-mediated defaunation processes in one of the most important and threatened tropical environments in the world. The data set is not copyright restricted; please cite this data paper when using its data in publications and we also request that researchers and educators inform us of how they are using these data

    Núcleos de Ensino da Unesp: artigos 2007

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