Organizational Arrangements: bibliometric analysis of national scientific production from 2006 to 2015

The objective of the present study is to analyze the national scientific production on the main typologies of Organizational Arrangements, from 2006 to 2015. The research targeted scientific papers published in the main journals of the Production Engineering area, classified in the strata of Qualis CAPES and in the Annals of the most representative Scientific Events of the area. It is a descriptive and quantitative study that used bibliometrics as a technical procedure using the scientometry approach. Data collection reported 964 papers published in the period. Results indicated that 191 papers were published in journals, with Gestão & Produção being the most prolific with 124 publications, and the year 2014 being the peak in the volume of publications; 773 papers were published in Scientific Events, with 439 in ENEGEP, and the year 2010 had the highest number of publications; The types of Arrangements most examined , adding together the results of the Journals and Annals of Scientific Events, were the Supply Chains, Cooperatives and Local Productive Arrangements; while the Modular Consortium and the Industrial Condominium are still discussed much less

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

Análise dos fatores associados ao risco nutricional de pacientes em hemodiálise

Objetivo: Analisar a frequência e os fatores associados ao risco nutricional (RN) de pacientes com doença renal crônica (DRC) submetidos à hemodiálise. Métodos: Estudo de corte transversal, analítico, realizado com 110 indivíduos com idade ≥ 20 anos,em tratamento hemodialítico em duas clínicas de Cuiabá, Mato Grosso, Brasil, no período de junho a outubro de 2018. Os dados foram coletados por meio de entrevista, aferições e consulta ao prontuário clínico. Avaliou-se a associação entre o desfecho pontuação do Malnutrition Inflammation Score (MIS) e as variáveis socioeconômicas, demográficas, clínicas, de comportamentos de risco relacionados à saúde e de estado nutricional. Realizou-se análise bivariada pelo teste de qui-quadrado de Pearson e regressão logística binária bruta e ajustada, considerando significativo p≤0,05. Resultados: Foi observada elevada frequência de indivíduos com alto RN (n=73; 66,36%), sendo maior entre os pacientes com tempo de diálise ≥ 4 anos, volume de urina/24

Atualizações sobre a visão geral do Lúpus eritematoso cutâneo: Updates on Lupus erythematosus cutaneous overview

O lúpus eritematoso cutâneo pode ocorrer como um distúrbio independente ou associado ao lúpus eritematoso sistêmico. O lúpus eritematoso cutâneo inclui três categorias de doenças de pele específicas do LE: lúpus eritematoso cutâneo agudo, lúpus eritematoso cutâneo subagudo e lúpus eritematoso cutâneo crônico. A característica chave que une as dermatoses específicas do lúpus eritematoso é a histopatologia, as características histopatológicas comuns compartilhadas incluem uma dermatite de interface vacuolar (degeneração liquefativa da camada basal da epiderme); hiperqueratose; atrofia epidérmica; infiltrado inflamatório de células mononucleares superficiais, perivasculares e perifoliculares; espessamento da membrana basal; e incontinência pigmentar. Em particular, a dermatite de interface é uma característica histopatológica consistente de lúpus eritematoso cutâneo agudo, lúpus eritematoso cutâneo subagudo e lúpus eritematoso discóide (a forma mais comum de lúpus eritematoso cutâneo crônico), mas não é uma característica típica de lúpus eritematoso túmido ou lúpus profundo. A dermatite de interface também pode ser observada em distúrbios não relacionados ao lúpus eritematoso, como a dermatomiosite. Além disso, a maioria das dermatoses específicas do lúpus eritematoso pode ocorrer em associação com o lúpus eritematoso sistêmico, com exceção do lúpus eritematoso tumidus, para o qual o lúpus eritematoso sistêmico associado é raro. As doenças específicas de lúpus eritematoso também podem ocorrer em conjunto com outras doenças de pele específicas de lúpus eritematoso e têm uma abordagem semelhante ao tratamento.&nbsp

Food Insecurity and Associated Factors in Brazilian Undergraduates during the COVID-19 Pandemic

Undergraduates may face challenges to assure food security, related to economic and mental distress, especially during the COVID-19 pandemic. This study aimed to assess food insecurity and its associated factors in undergraduates during the COVID-19 pandemic. An online cross-sectional study was conducted from August 2020 to February 2021 with 4775 undergraduates from all Brazilian regions. The questionnaire contained socio-economic variables, the validated Brazilian food insecurity scale, and the ESQUADA scale to assess diet quality. The median age of the students was 22.0 years, and 48.0% reported income decreasing with the pandemic. Food insecurity was present in 38.6% of the students, 4.5% with severe food insecurity and 7.7% moderate. Logistic regressions showed students with brown and black skin color/race presented the highest OR for food insecurity; both income and weight increase or reduction during the pandemic was also associated with a higher OR for food insecurity, and better diet quality was associated with decreased OR for food insecurity. Our study showed a considerable presence of food insecurity in undergraduates. Policy for this population must be directed to the most vulnerable: those with brown and black skin color/race, who changed income during the pandemic, and those presented with difficulties maintaining weight and with poor diet quality

O papel do PET-CTI-UFABC em compartilhar conhecimento: aulas de Redação e Matemática preparatórias para o ENEM para alunos de escolas públicas do Grande ABC-SP.

The National High School Exam - ENEM is the opportunity for many young people to enter higher education. For this reason, PET - Science, Technology and Information at UFABC developed a course that met this demand. The course received about 500 enrollments, with 90 students selected, in order of enrollment, which was carried out using a specific form on the page PET-CTI and consisted of three classes with two hours for each axis (Writing and Mathematics) offered on Saturdays, at the Santo André campus of the Universidade Federal do ABC - UFABC, comprising theoretical classes and review exercises and simulation proposal at writing area.O Exame Nacional do Ensino Médio - ENEM é para muitos jovens a oportunidade de ingresso no ensino superior, porém muitos alunos de escola pública apresentam dificuldades. Por isso, o PET – Ciência Tecnologia e Informação da UFABC elaborou um curso que atendesse a essa demanda, O curso recebeu cerca de 500 inscrições, sendo selecionados 90 alunos, por ordem de inscrição, a qual foi realizada por meio de formulário próprio na página do PET-CTI e foi composto por três aulas com duas horas para cada eixo (Redação e Matemática) ofertadas aos sábados, no campus Santo André da Fundação Universidade Federal do ABC - UFABC, compreendendo aulas teóricas e exercícios de revisão e proposta de simulado na área de redação

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data