73 research outputs found

    UNIVERSIDADE ABERTA À TERCEIRA IDADE - UNATI, PROGRAMA DE EDUCAÇÃO PERMANENTE EM PONTAL DO PARANÁ

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    O processo de envelhecimento, de forma casual, vem sido debatido pelos órgãos responsáveis de integração, defesa, direitos e deveres da pessoa idosa no país. No que compete a segurança dessa população, assim como, os outros temas sociais referentes a este processo, fica claro a linha tênue existente entre sociedade e responsabilidade social. Diante desse fato, a UNATI caracterizou-se como um importante espaço de interação entre as pessoas da terceira idade, docentes e acadêmicos das diversas áreas do conhecimento humano, a fim de estabelecer a integração efetiva desse grupo etário na comunidade universitária e na sociedade em geral. O Programa atende pessoas com idade superior a 59 anos, sem a necessidade de comprovação escolar, bastando ser alfabetizado. Utilizou-se como metodologia uma programação semanal de 3 (três) dias, sendo eles, às terças-feiras, as atividades físicas como dança e teatro, às quartas-feiras, as palestras com reflexões a respeito do envelhecimento nos diversos aspectos sociais (economia, psicologia, política, etc.) e às quintas-feiras ficaram as atividades cognitivas, como memória e convívio social. Em média, participaram cerca de 20 idosos durante a fase inicial do programa, e os benefícios entre os mesmos ficaram evidentes ao longo da participação e dinâmica do grupo. Tudo isso se deu por meio da efetiva parceria com a Associação dos Vendedores Ambulantes do Paraná – AVAPAR, que cedeu o espaço físico para a realização das atividades de extensão. Observou-se também, que afim de tornar os laços mais frequentes, houve uma intensa busca pela cooperação, orientação e troca de experiências entre os acadêmicos

    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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    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

    Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

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    Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

    Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence

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    Submitted by Ana Maria Fiscina Sampaio ([email protected]) on 2018-02-16T17:49:21Z No. of bitstreams: 1 Fukutani KF Meta - Analysis of Aedes aegypti Expression Datasets .........pdf: 4409165 bytes, checksum: 8196abb5c066bf1d7354ad6860a023d6 (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2018-02-16T18:06:45Z (GMT) No. of bitstreams: 1 Fukutani KF Meta - Analysis of Aedes aegypti Expression Datasets .........pdf: 4409165 bytes, checksum: 8196abb5c066bf1d7354ad6860a023d6 (MD5)Made available in DSpace on 2018-02-16T18:06:45Z (GMT). No. of bitstreams: 1 Fukutani KF Meta - Analysis of Aedes aegypti Expression Datasets .........pdf: 4409165 bytes, checksum: 8196abb5c066bf1d7354ad6860a023d6 (MD5) Previous issue date: 2017Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB process no. JCB0004/2013). KF was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP no. 2017/03491-6). AP acknowledges financial support from CNPq—Grant Edital Universal MCTI/CNPQ/Universal14/2014 (Process No.: 454505/2014-0).Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde e Medicina de Investigação. Salvador, BA, BrasilFederal University of Technology. Cornélio Procópio, PR, BrazilUniversity of Uberlândia. Patos de Minas, MG, BrazilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Federal University of Bahia. School of Medicine. Post-Graduation Program in Health Sciences.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Federal University of Bahia. School of Medicine. Post-Graduation Program in Health Sciences.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Pós-Graduação em Biotecnologia em Saúde e Medicina de Investigação. Salvador, BA, Brasil / Universidade Estadual de Feira de Santana. Programa de Pós-Graduação em Computação Aplicada. Feira de Santana, BA, BrasilThe mosquitoAedes aegypti(L.) is vector of several arboviruses including dengue, yellow fever, chikungunya, and more recently zika. Previous transcriptomic studies have been performed to elucidate altered pathways in response to viral infection. However, the intrinsic coupling between alimentation and infection were unappreciated in these studies. Feeding is required for the initial mosquito contact with the virus and these events are highly dependent. Addressing this relationship, we reinterrogated datasets of virus-infected mosquitoes with two different diet schemes (fed and unfed mosquitoes), evaluating the metabolic cross-talk during both processes. We constructed coexpression networks with the differentially expressed genes of these comparison: virus-infected versus blood-fed mosquitoes and virus-infected versus unfed mosquitoes. Our analysis identified one module with 110 genes that correlated with infection status (representing ~0.7% of theA. aegyptigenome). Furthermore, we performed a machine-learning approach and summarized the infection status using only four genes (AAEL012128, AAEL014210, AAEL002477, and AAEL005350). While three of the four genes were annotated as hypothetical proteins, AAEL012128 gene is a membrane amino acid transporter correlated with viral envelope binding. This gene alone is able to discriminate all infected samples and thus should have a key role to discriminate viral infection in theA. aegyptimosquito. Moreover, validation using external datasets found this gene as differentially expressed in four transcriptomic experiments. Therefore, these genes may serve as a proxy of viral infection in the mosquito and the others 106 identified genes provides a framework to future studies

    Meta-Analysis of Aedes aegypti Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence

    No full text
    The mosquito Aedes aegypti (L.) is vector of several arboviruses including dengue, yellow fever, chikungunya, and more recently zika. Previous transcriptomic studies have been performed to elucidate altered pathways in response to viral infection. However, the intrinsic coupling between alimentation and infection were unappreciated in these studies. Feeding is required for the initial mosquito contact with the virus and these events are highly dependent. Addressing this relationship, we reinterrogated datasets of virus-infected mosquitoes with two different diet schemes (fed and unfed mosquitoes), evaluating the metabolic cross-talk during both processes. We constructed coexpression networks with the differentially expressed genes of these comparison: virus-infected versus blood-fed mosquitoes and virus-infected versus unfed mosquitoes. Our analysis identified one module with 110 genes that correlated with infection status (representing ~0.7% of the A. aegypti genome). Furthermore, we performed a machine-learning approach and summarized the infection status using only four genes (AAEL012128, AAEL014210, AAEL002477, and AAEL005350). While three of the four genes were annotated as hypothetical proteins, AAEL012128 gene is a membrane amino acid transporter correlated with viral envelope binding. This gene alone is able to discriminate all infected samples and thus should have a key role to discriminate viral infection in the A. aegypti mosquito. Moreover, validation using external datasets found this gene as differentially expressed in four transcriptomic experiments. Therefore, these genes may serve as a proxy of viral infection in the mosquito and the others 106 identified genes provides a framework to future studies

    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=

    Characterisation of microbial attack on archaeological bone

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    As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved
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