O perfil @FasAmazonas: um estudo de caso sobre suas apropriações

Neste trabalho apresentam-se os motivos que levaram a Fundação Amazonas Sustentável (FAS) a utilizar o microblog twitter e as formas de sua apropriação. Para realização deste estudo de caso, os procedimentos metodológicos adotados foram: entrevista com a administradora da conta, observação das atualizações e a análise de seus conteúdos. No quadro teórico, apresentam-se discussões sobre o movimento ambientalista na internet, Web 2.0 e as características do microblog twitter. Além disso, aspectos metodológicos da pesquisa, os resultados alcançados e análise dos mesmos são expostos. A partir da pesquisa realizada, concluiu-se que os fatores determinantes para escolha da utilização do twitter não estão relacionados ao modismo e que existem sete formas predominantes na utilização do microblog pela FAS

Identificação do vírus do mosaico do tomateiro (ToMV) Tobamovirus, por meio de anticorpos monoclonais

O tomateiro é uma olerícola de grande importância econômica e uma das mais suscetíveis a viroses, dentre as quais, a causada pelo vírus do mosaico do tomateiro (ToMV), gênero Tobamovirus, que tem como sintomas mosaico verde claro-escuro nas folhas, afilamento dos folíolos e diminuição da produção, entre outros sintomas. Visando a identificação do ToMV, foram produzidos anticorpos monoclonais (MAbs), testados através de PTA- ELISA ("plate trapped antigen- enzyme linked immunoassay"). O MAb (10.H1) foi utilizado para avaliar a capacidade de identificação do ToMV em testes no campo em plantas de tomate infectadas. O MAb não apresentou reação cruzada com TMV (tobamovirus do mosaico do tabaco) nem com extrato de plantas sadias. O ToMV das amostras foi isolado, purificado e re-inoculado em plantas de tomateiro e de tabaco, para confirmação dos sintomas. Em "immunobloting" o MAb 10.H1 reconheceu somente a proteína referente à capa protéica do ToMV (de 17,5 kDa). A especificidade do MAb 10.H1 pode permitir o diagnóstico precoce desta doença na fase de plântulas, ainda em casa de vegetação, evitando assim a disseminação desta virose no campo.Tomato is a highly important crop for the world economy, and very susceptible to virus diseases, among them the tomato mosaic tobamovirus (ToMV), which causes light and dark green mosaic in the leaves, decreases yield, among other symptoms. With the aim of early identifying ToMV in biological material, harvested from crop fields, monoclonal antibodies (MAbs) were produced against ToMV. The MAb 10.H1 tested through PTA-ELISA (Plate Trapped Antigen--Enzyme-Linked immunosorbent assay), does not cross-react with TMV (tobacco mosaic tobamovirus) or with proteins extracted from plant sap. The MAb was able to identify ToMV from infected plants. The ToMV was isolated, purified and used to re-inoculate tobacco and tomato plants to confirm the symptoms. In immunoblotting assays the MAb recognizes only the band corresponding to the coat protein of the ToMV (17.5 kDa). The MAb 10.H1 opens the possibility to identify ToMV in tomato seedlings avoiding its dissemination in cropped fields

The Brazilian Registry of Adult Patient Undergoing Cardiovascular Surgery, the BYPASS Project: Results of the First 1,722 Patients

Objective: To report the early results of the BYPASS project - the Brazilian registrY of adult Patient undergoing cArdiovaScular Surgery - a national, observational, prospective, and longitudinal follow-up registry, aiming to chart a profile of patients undergoing cardiovascular surgery in Brazil, assessing the data harvested from the initial 1,722 patients. Methods: Data collection involved institutions throughout the whole country, comprising 17 centers in 4 regions: Southeast (8), Northeast (5), South (3), and Center-West (1). The study population consists of patients over 18 years of age, and the types of operations recorded were: coronary artery bypass graft (CABG), mitral valve, aortic valve (either conventional or transcatheter), surgical correction of atrial fibrillation, cardiac transplantation, mechanical circulatory support and congenital heart diseases in adults. Results: 83.1% of patients came from the public health system (SUS), 9.6% from the supplemental (private insurance) healthcare systemsand 7.3% from private (out-of-pocket) clinic. Male patients comprised 66%, 30% were diabetics, 46% had dyslipidemia, 28% previously sustained a myocardial infarction, and 9.4% underwent prior cardiovascular surgery. Patients underwent coronary artery bypass surgery were 54.1% and 31.5% to valve surgery, either isolated or combined. The overall postoperative mortality up to the 7th postoperative day was 4%for CABG was 2.6%, and for valve operations, 4.4%. Conclusion: This first report outlines the consecution of the Brazilian surgical cardiac database, intended to serve primarily as a tool for providing information for clinical improvement and patient safety and constitute a basis for production of research protocols.Univ Fed Sao Paulo UNIFESP EPM, Hosp Sao Paulo, Sao Paulo, SP, BrazilHosp Caridade Sao Vicente Paulo, Jundiai, SP, BrazilInst Med Integral Prof Fernando Figueira IMIP, Recife, PE, BrazilHosp Base FUNFARME & FAMERP, Sao Jose Do Rio Preto, SP, BrazilIMC, Sao Jose Do Rio Preto, SP, BrazilIrmandade Santa Casa Sao Paulo INCT HPV, Fac Ciencias Med Santa Casa Sao Paulo, Sao Paulo, SP, BrazilFundacao Univ Cardiol, Inst Cardiol Rio Grande do Sul, Porto Alegre, RS, BrazilInst Coracao Natal, Natal, RN, BrazilInst Cardiol Dist Fed, Brasilia, DF, BrazilUniv Fed Maranhao HU UFMA, Univ Hosp, Sao Luis, MA, BrazilHosp Evangelico, Cachoeiro De Itapemirim, ES, BrazilHosp Coracao Sergipe, Aracaju, SE, BrazilHosp Nossa Senhora Salete, Inst Cirurgia Cardiovasc ICCV, Cascavel, PR, BrazilHosp Wilson Rosado, Mossoro, RN, BrazilHosp Bosque Saude, Sao Paulo, SP, BrazilHosp Univ Santa Maria, Santa Maria, RS, BrazilHosp Coracao HCor, Sao Paulo, SP, BrazilHosp Coracao IP HCor, Ins Pesquisa, Sao Paulo, SP, BrazilInst Coracao InCor, Sao Paulo, SP, BrazilUniv Fed Sao Paulo UNIFESP EPM, Hosp Sao Paulo, Sao Paulo, SP, BrazilWeb of Scienc

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

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17

Background Oral rehydration solution (ORS) is a form of oral rehydration therapy (ORT) for diarrhoea that has the potential to drastically reduce child mortality; yet, according to UNICEF estimates, less than half of children younger than 5 years with diarrhoea in low-income and middle-income countries (LMICs) received ORS in 2016. A variety of recommended home fluids (RHF) exist as alternative forms of ORT; however, it is unclear whether RHF prevent child mortality. Previous studies have shown considerable variation between countries in ORS and RHF use, but subnational variation is unknown. This study aims to produce high-resolution geospatial estimates of relative and absolute coverage of ORS, RHF, and ORT (use of either ORS or RHF) in LMICs. Methods We used a Bayesian geostatistical model including 15 spatial covariates and data from 385 household surveys across 94 LMICs to estimate annual proportions of children younger than 5 years of age with diarrhoea who received ORS or RHF (or both) on continuous continent-wide surfaces in 2000-17, and aggregated results to policy-relevant administrative units. Additionally, we analysed geographical inequality in coverage across administrative units and estimated the number of diarrhoeal deaths averted by increased coverage over the study period. Uncertainty in the mean coverage estimates was calculated by taking 250 draws from the posterior joint distribution of the model and creating uncertainty intervals (UIs) with the 2 center dot 5th and 97 center dot 5th percentiles of those 250 draws. Findings While ORS use among children with diarrhoea increased in some countries from 2000 to 2017, coverage remained below 50% in the majority (62 center dot 6%; 12 417 of 19 823) of second administrative-level units and an estimated 6 519 000 children (95% UI 5 254 000-7 733 000) with diarrhoea were not treated with any form of ORT in 2017. Increases in ORS use corresponded with declines in RHF in many locations, resulting in relatively constant overall ORT coverage from 2000 to 2017. Although ORS was uniformly distributed subnationally in some countries, within-country geographical inequalities persisted in others; 11 countries had at least a 50% difference in one of their units compared with the country mean. Increases in ORS use over time were correlated with declines in RHF use and in diarrhoeal mortality in many locations, and an estimated 52 230 diarrhoeal deaths (36 910-68 860) were averted by scaling up of ORS coverage between 2000 and 2017. Finally, we identified key subnational areas in Colombia, Nigeria, and Sudan as examples of where diarrhoeal mortality remains higher than average, while ORS coverage remains lower than average. Interpretation To our knowledge, this study is the first to produce and map subnational estimates of ORS, RHF, and ORT coverage and attributable child diarrhoeal deaths across LMICs from 2000 to 2017, allowing for tracking progress over time. Our novel results, combined with detailed subnational estimates of diarrhoeal morbidity and mortality, can support subnational needs assessments aimed at furthering policy makers' understanding of within-country disparities. Over 50 years after the discovery that led to this simple, cheap, and life-saving therapy, large gains in reducing mortality could still be made by reducing geographical inequalities in ORS coverage. Copyright (c) 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires

The production of tt‾ , W+bb‾ and W+cc‾ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓν , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of $t\overline{t}$, $W+b\overline{b}$ and $W+c\overline{c}$ is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 $\pm$ 0.02 \mbox{fb}^{-1}. The $W$ bosons are reconstructed in the decays $W\rightarrow\ell\nu$, where $\ell$ denotes muon or electron, while the $b$ and $c$ quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions

Optimisation of Perioperative Cardiovascular Management to Improve Surgical Outcome II (OPTIMISE II) trial: study protocol for a multicentre international trial of cardiac output-guided fluid therapy with low-dose inotrope infusion compared with usual care in patients undergoing major elective gastrointestinal surgery.

INTRODUCTION: Postoperative morbidity and mortality in older patients with comorbidities undergoing gastrointestinal surgery are a major burden on healthcare systems. Infections after surgery are common in such patients, prolonging hospitalisation and reducing postoperative short-term and long-term survival. Optimal management of perioperative intravenous fluids and inotropic drugs may reduce infection rates and improve outcomes from surgery. Previous small trials of cardiac-output-guided haemodynamic therapy algorithms suggested a modest reduction in postoperative morbidity. A large definitive trial is needed to confirm or refute this and inform widespread clinical practice. METHODS: The Optimisation of Perioperative Cardiovascular Management to Improve Surgical Outcome II (OPTIMISE II) trial is a multicentre, international, parallel group, open, randomised controlled trial. 2502 high-risk patients undergoing major elective gastrointestinal surgery will be randomly allocated in a 1:1 ratio using minimisation to minimally invasive cardiac output monitoring to guide protocolised administration of intravenous fluid combined with low-dose inotrope infusion, or usual care. The trial intervention will be carried out during and for 4 hours after surgery. The primary outcome is postoperative infection of Clavien-Dindo grade II or higher within 30 days of randomisation. Participants and those delivering the intervention will not be blinded to treatment allocation; however, outcome assessors will be blinded when feasible. Participant recruitment started in January 2017 and is scheduled to last 3 years, within 50 hospitals worldwide. ETHICS/DISSEMINATION: The OPTIMISE II trial has been approved by the UK National Research Ethics Service and has been approved by responsible ethics committees in all participating countries. The findings will be disseminated through publication in a widely accessible peer-reviewed scientific journal. TRIAL REGISTRATION NUMBER: ISRCTN39653756.The OPTIMISE II trial is supported by Edwards Lifesciences (Irvine, CA) and the UK National Institute for Health Research through RMP’s NIHR Professorship