IMAGINÁRIOS, REPRESENTAÇÕES E AMAZÔNIA:análise da construção de sentidos nos discursivos das ONGs Greenpeace e WWF

Este trabalho analisa os discursivos das ONGs Greenpeace e WWF utilizados para disseminar informações sobre a Amazônia no período entre 2010 e 2016. Durante o processo de análise discursiva de 39 textos diferentes, notou-se que os sentidos de Amazônia efetivam-se por meio de quatro categorias: “globalização econômica”, “poder simbólico”, “natureza imaginária” e “sociodiversidade artificial”. Os resultados da pesquisa apontam que as ONGs Transnacionais Ambientalistas Greenpeace e WWF, utilizando-se de vários recursos discursivos, buscam produzir imagens da Amazônia de acordo com as suas perspectivas de mundo e impor a aceitação globalizada dessa imagem como realidade

Estudo das tendências em Relações Públicas: Análise dos Trabalhos focados em Comunicação, inovação e tecnologias da Abrapcorp de 2015 a 2020

This article analyzes the results of a scientific study on the papers presented in the working group "Communication, Innovation and Technology" of the Brazilian Association of Researchers in Organizational Communication and Public Relations (Abrapcorp) in the period from 2015 to 2020. The methodological procedures used were: bibliographic research, literature review, mapping, content analysis and classification. Content analysis was selected as a methodological resource to map the themes of the papers presented at the aforementioned working group and highlight the most studied objects, research methods and techniques, as well as scientific advances. We listed five main research trends in innovation within Organizational Communication and Public Relations.Este artigo analisa os resultados de um estudo científico sobre os trabalhos apresentados no grupo de trabalho "Comunicação, Inovação e Tecnologia" da Associação Brasileira de Pesquisadores em Comunicação Organizacional e Relações Públicas (Abrapcorp) no período de 2015 a 2020. Os procedimentos metodológicos utilizados foram: pesquisa bibliográfica, revisão de literatura, mapeamento, análise de conteúdo e classificação. A análise de conteúdo foi selecionada como recurso metodológico para mapear as temáticas dos trabalhos apresentados no referido grupo de trabalho e destacar os objetos mais estudados, métodos e técnicas de pesquisa, bem como avanços científicos. Elencamos cinco principais tendências de pesquisa em inovação no âmbito da Comunicação Organizacional e Relações Públicas

Diagnóstico da doença renal crônica em cães e gatos: revisão de literatura / Diagnosis of chronic kidney disease in dogs and cats: literature review

Este estudo teve por objetivo pesquisar na literatura científica, qual exame físico e complementar pode ser realizado para a avaliação precoce da doença renal crônica (DRC) de cães e gatos. A metodologia foi baseada em uma revisão da literatura entre 2020 e 2021 e a base de dados utilizada foram do portal da Sociedade de Interesse Renal (iris-kidney.com), Google Scholar, Scientific Electronic Libary Online e National Library of Medicine dos Estados Unidos, National Institutes of Health. Os resultados mostraram que a precocidade do diagnóstico de DRC pode ser realizada pela identificação direta ou indireta de alterações estruturais, visualizadas pelos exames de imagem, análise de amostras séricas ou de urina para uma análise funcional, e biopsia tecidual para a detecção de alterações histológicas do parênquima. O aumento abrupto da ureia e creatinina séricas caracteriza estádios avançados da Injúria Renal Aguda (IRA) que podem acontecer por si só ou descompensação de uma DRC precedente. Essa situação é ainda mais complexa, pois além da cronicidade, passa a existir uma IRA, que tende a ser mais devastadora pela baixa massa renal funcional existente. Estadiar o animal como DRC pode ser desafiador e exige que os médicos entendam a importância de documentar os valores retrospectivos na concentração de creatinina. Avaliar outras evidências clínicas da doença como hipertensão arterial, perda de peso, escore de condição corporal e de massa muscular, densidade urinária, proteinúria e exames de imagem faz parte do plano diagnóstico. A mensuração da dimetilarginina simétrica (SDMA) promove um ajuste fino do estadiamento do paciente e contribuiu para o ajuste terapêutico com propósito de evitar a progressão da enfermidade

The ITA Space Center and Its Role in Space Education in Brazil

This paper presents the ITA Space Center and its mission in the formation of human resources and in the research and development of space products. In 2012 the first aerospace engineers were graduated at ITA, and since then many efforts have been done to improve the engineering education. The first effort was the development of AESP-14 CubeSat project, then the development and launch of ITASAT, a 6U CubeSat. These two projects showed that small satellites projects provide a good learning approach once students were deeply involved in the development process. These two projects opened the opportunity for the creation of the ITA Space Center (CEI -acronym for Centro Espacial ITA in Portuguese). Inside its facilities the ITA Space Center provides capabilities for the development of small space projects such as electronics, software engineering, mechanical design, and simulation with the aid of systems engineering and project management. By means of the graduate and undergraduate programs the ITA Space Center is providing education and integration with the industries and other partner organizations. In developing and delivering space products, and fostering higher education in space, the ITA Space Center is accomplishing of its proposed mission

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

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