19 research outputs found

    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

    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 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

    A Scoping Review of the Use of Arketamine in Humans

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    Comparative study of esketamine and racemic ketamine in treatment-resistant depression: Protocol for a non-inferiority clinical trial

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    Carvalho, Lucas Pedreira de. Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Laboratório de Pesquisa Clínica. Salvador, BA, Brasil. a Postgraduate Program in Medicine and Health, b Psychiatry Service, University Hospital, Universidade Federal da Bahia, Salvador, c LiNC—Laboratório Interdisciplinar de Neurociências Clínicas, d Depatment of Anesthesiology, e PRODAF—Programa de Transtornos Afetivos, Universidade Federal de São Paulo, São Paulo, f Postgraduate Program in Psychology, Institute of Psychology, g Immunology Service, Universidade Federal da Bahial, h Clinical Research Laboratory (LAPEC), Gonçalo Moniz Institute, Fiocruz-Bahia, Salvador, Brazil, i McGill Group for Suicide Studies, Douglas Mental Health University Institute & Department of Psychiatry, McGill University, Montreal, Canada, j Center for Research and Clinical Trials Sinapse-Bairral, Instituto Bairral de Psiquiatria, Itapira, Brazil.Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2018-12-21T16:28:46Z No. of bitstreams: 1 Melo FSC Comparative_study_of_esketamine_and_racemic.64.pdf: 212500 bytes, checksum: 350198044d38100f8cc9dd703451de7c (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2018-12-21T16:45:26Z (GMT) No. of bitstreams: 1 Melo FSC Comparative_study_of_esketamine_and_racemic.64.pdf: 212500 bytes, checksum: 350198044d38100f8cc9dd703451de7c (MD5)Made available in DSpace on 2018-12-21T16:45:26Z (GMT). No. of bitstreams: 1 Melo FSC Comparative_study_of_esketamine_and_racemic.64.pdf: 212500 bytes, checksum: 350198044d38100f8cc9dd703451de7c (MD5) Previous issue date: 2018Allergan and Lundbeck and research fees from Janssen Pharmaceutical during the last 12 months. ALTL has received consulting fees from Janssen Pharmaceutical, Daiichi Sankyo Brasil, Cristalia Produtos Químicos e Farmacêuticos, Libbs Farmacêutica and SanofiAventis and has received research fees from Eli Lilly, H. Lundbeck A/S, Servier Laboratories, Hoffman-La Roche and Forum Pharmaceuticals during the last 12 months.Múltipla - ver em NotasThe use of ketamine as an option in the treatment of depressive disorder is growing rapidly, supported by numerous clinical trials attesting its efficacy and safety. Esketamine, the S (+) enantiomer of ketamine, is the most widely used form in the anesthetic environment in some countries, and new studies have shown that it may also be effective in depression and with better tolerability. However, no study so far has directly compared esketamine with racemic ketamine. Here we propose a protocol of a clinical trial to evaluate esketamine as a noninferior medicationMethods/design: This study protocol is for a randomized, controlled, double-blind noninferiority clinical trial. Subjects will be 18 years or older, with major depression characterized as treatment-resistant. Participants will receive a single infusion of either esketamine (0.25mg/kg) or ketamine (0.5 mg/kg) over 40 minutes. The primary outcome will be the difference in remission rates between the 2 treatment arms at 24 and 72hours after drug infusion. Secondary outcomes will include other timepoints, measurements of cognition, dissociation, and blood biomarkers. Discussion: A head-to-head study is the best way to evaluate whether the esketamine is in fact comparable to the racemic ketamine in terms of both efficacy and safety, and, if positive, it would be an initial step to increase the access to that type of treatment worldwide. Ethics and dissemination: The study was approved by the local Institutional Review Board (University Hospital Professor Edgard Santos—Federal University of Bahia—Number: 46657415.0.0000.0049). Subjects will only participate after voluntarily agreeing and signing the Informed Consent Form. The study findings will be published in peer-reviewed journals and presented at national and international conferences. Trial registration: This trial has been registered in the Japan Primary Registries Network (JPRN): UMIN000032355, which is affiliated with the World Health Organization. when compared to ketamine in the treatment of patients with treatment-resistant depression

    Relações entre profissionais de saúde e usuários durante as práticas em saúde Relationships between health professionals and users throughout health care practices

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    Apresenta-se uma revisão integrativa sobre estudos que abordam as relações entre profissionais de saúde e usuários durante as práticas em saúde. Objetivou-se identificar os aspectos pesquisados no cotidiano dos serviços acerca dessas relações. A coleta foi realizada nas bases Lilacs e Pubmed segundo os descritores: acolhimento; relações profissional-família; relações profissional-paciente; humanização da assistência; e a palavra 'vínculo' associada ao descritor Sistema Único de Saúde. Selecionaram-se 290 estudos publicados entre 1990 e 2010. Por meio da análise temática, foram criados cinco núcleos de sentido: a relevância da confiança na relação profissional-usuário; sentimentos e sentidos na prática do cuidado; a importância da comunicação nos serviços de saúde; modo de organização das práticas em saúde; e (des)colonialismo. Identificou-se que as relações estabelecidas nas práticas de saúde têm uma dimensão transformadora. No entanto, permanece o desafio de humanizar os serviços de saúde. A enfermagem se destaca na produção do conhecimento nessa temática.<br>This article presents an integrative review about studies that address the relationships between health professionals and users in health care practices. It aimed to identify aspects that were researched on the daily life of the services concerning such relationships. Data were collected from the Lilacs and Pubmed databases based on these descriptors: user embracement; professionalfamily relations; professionalpatient relations; humanization of the care; and the bonding word associated to the Single Health System descriptor. Two hundred and ninety studies, published from 1990 to 2010, were selected. Through thematic analyses, five meaning cores were created: the relevance of the confidence in the professionaluser relationship; feelings and senses in the health care practice; the importance of communications in health care services; ways to organize health care practices and (de)colonialism. It was found that relationships established in health care practices have a transformative dimension. However, the challenge to humanize health care services remains. Nursing stands out in the production of knowledge on such theme

    Seminário de Dissertação (2024)

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    Página da disciplina de Seminário de Dissertação (MPPP, UFPE, 2022) Lista de participantes == https://docs.google.com/spreadsheets/d/1mrULe1y04yPxHUBaF50jhaM1OY8QYJ3zva4N4yvm198/edit#gid=

    ATLANTIC ANTS: a data set of ants in Atlantic Forests of South America

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    International audienc

    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
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