Teachers’ perception of health, remote work, and the students’ situation during the COVID-19 pandemic

Objective: To evaluate the teachers’ perceptions regarding their emotions, health and work, as well as the students’ situation, during the pandemic. Methods: Cross-sectional, quantitative and descriptive study, carried out with teachers from the public education network in the state of Piauí. The bivariate analysis model was applied using Pearson’s Chi-square test, considering the significance level at 5% to check associations and to analyze the reliability of the questionnaire. Internal consistency was calculated using Cronbach’s alpha coefficient. Results: Hopeless was the emotion most perceived by teachers. Conversely, they felt satisfied with their health and work. There was no influence of sociodemographic characteristics on perceived hopeless. In addition, they stated that they had good expectations when the pandemic was over. Regarding the students’ situation, it was identified that they partially agreed that there had been harm. Conclusion: Feeling hopeless during the pandemic was independent of the individual’s sociodemographic characteristics, as well as the teacher’s gender, age or race/skin color

BUSCA ATIVA, RASTREAMENTO E DIAGNÓSTICO AO CÂNCER DE COLO NO ÚTERO NO MUNICÍPIO DE BRASILEIRA - PI

O câncer do colo do útero é um agravo à saúde da mulher, que se inicia devido inúmeras multiplicações celulares de forma desordenada, onde acomete o epitélio de revestimento deste órgão. No Brasil, em 2016, foram esperados 16.340 casos novos, com um risco estimado de 15,85 casos a cada 100 mil mulheres. A Linha de Cuidado do Câncer do Colo do Útero tem a finalidade de assegurar à mulher o acesso humanizado e integral às ações e aos serviços qualificados para promover a prevenção do câncer do colo do útero, acesso ao rastreamento das lesões precursoras, ao diagnóstico precoce e ao tratamento adequado, qualificado e em tempo oportuno. O plano operativo é de grande importância para a realização da intervenção, neste foram designados a situação problema, os objetivos, metas/prazos, as ações estratégicas e os responsáveis por cada etapa. Diante dessa situação e de tantas outras no município, concluiu-se que é preciso da integração e interesse de todos para que se possa ter resolutividade nos serviços de saúde e para que os profissionais possam estar oferendo um serviço com qualidade e resolutivo, pois é isso que a maioria dos usuários procuram em uma Unidade de Saúde

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

As dificuldades do profissional enfermeiro frente à promoção da saúde da família na Estratégia Saúde da Família: relato de experiência

RESUMOA Estratégia Saúde da Família apresenta o enfermeiro como um respeitável componente da atenção básica de crescimento significativo e de reconhecimento social. O presente estudo constitui-se de um relato de experiência que teve como objetivo geral descrever as dificuldades do enfermeiro na ESF para promoção da saúde da família e como objetivos específicos, identificar os desafios que dificultam a atuação do enfermeiro frente à promoção da saúde da família e analisar o atendimento do enfermeiro na ESF frente à promoção da saúde.Concluiu-se que promover saúde ainda é, e continuará sendo uma tarefa árdua, pois o profissional precisa fazer dessa atribuição uma rotina de livre consciência.Palavras chaves: Promoção da saúde. Saúde da Família. Enfermagem e Saúde da Família

Ações da DVSST/CPST/PR4 nos Projetos de Segurança Contra Incêndio e Pânico

Trabalhos já realizados e em andamentos pela DVSST/CPST/PR4/UFRJ para prevenção de Incêndio e Pânico: 1 - Estudo Preliminar do Dimensionamento de extintores nos prédios da Universidade Federal do Rio de Janeiro - UFRJ; 2 - Estudos de Projetos de Segurança Contra Incêndio e Pânico - PSCIP para elaboração de orçamento no Escritório Técnico da Universidade-ETU; 3 - Participações na Coordenação de Projetos Contra Incêndio - CPCI/ETU supervisionando e orientando os PSCIP; 4 - Cálculo da Brigada Voluntária de Incêndio - BVI de todos os prédios do Campi da UFRJ e BC para os Campus de Macaé e Santa Cruz da Serra, para completar a Brigada de Incêndio - BI; 5 - Documentos de regularização Junto ao Corpo de Bombeiros Militar do Estado do Rio de Janeiro CBMERJ; 6 - Trabalho em conjunto com a PR6 para licitação de empresa de treinamento em BVI; 7 - Plano de Emergência Contra Incêndio e Pânico: documento estabelecido em função dos riscos de incêndio e pânico da edificação, que encerra um conjunto de ações e procedimentos a ser adotado, visando à proteção da vida, do meio ambiente e do patrimônio, bem como a redução das consequências de sinistros. a) as características gerais da edificação; b) os procedimentos básicos de emergência contra incêndio e pânico; c) o plano de abandono; d) a previsão de exercícios simulados; e e) as plantas de emergência. 8 - Campo de Treinamento de Brigada de Incêndio - Da infraestrutura e equipamentos diversos para a realização dos cursos de formação de Bombeiro Civil (BC) e Brigadista Voluntário de Incêndio (BVI)