Water And Health In Igarape-acu, Para, Brazil

This article aims to analyze and understand the relationship between water and health in rural communities located in the watershed of Cumaru stream, in the municipality Igarape-Acu, Northeast of Para state. The harvesting and treatment of the water conducted by the rural population for human consumption were assessed, considering their practices of sanitary sewer, since these aspects have direct impact on their health. This study is based on field research with a quantitative approach. Closed questionnaire was used to raise the sources of water harvesting, rural sanitation, and use of agricultural inputs. We used participant observation, when focusing on the functioning of the agricultural establishment, to observe from various angles the relationship between water and health. We noted that the vulnerability of the water resources accessed by the population is a factor that contributes to the contamination of the sources, therefore a threat to the health of the rural population. However, the perception of the population is notable regarding deeper water sources, such as tube wells, which are priorities for water harvesting.2541095110

Water And Health In Igarapé-açu, Pará, Brazil

Este artigo visa analisar e compreender a relação entre água e saúde em comunidades rurais situadas na microbacia do igarapé Cumaru, município de Igarapé-Açu (PA), nordeste paraense. São avaliados a captação e o tratamento de água para o consumo humano, considerando as práticas de esgoto sanitário realizadas cotidianamente pela população rural dessa microbacia, visto que têm implicação direta na saúde da população local. Este trabalho baseia-se em pesquisa de campo com uma abordagem quali-quantitativa. Utilizou-se questionário fechado para o levantamento das fontes de captação, saneamento rural e usos de insumos agrícolas. Foram consideradas observações feitas por agricultores familiares da região ao focar o funcionamento do estabelecimento agrícola, a fim de observar de diversos ângulos a relação entre água e saúde no seu entendimento. Observou-se que a vulnerabilidade das fontes de água acessadas pela população é um fator que contribui para a contaminação das fontes, caracterizando consequentemente uma ameaça à saúde da população rural. Entretanto, nota-se a percepção da população quanto às fontes de água mais profundas, como poços tubulares, sendo estes prioritários para captação de água para ingestão.2541095110

A RELAÇÃO ENTRE O USO EXCESSIVO DE REDES SOCIAIS E A SAÚDE MENTAL DOS JOVENS

This study explores the relationship between excessive social media use and mental health in young people. The research reveals that intense use of these platforms is associated with increased symptoms of depression and anxiety, reflecting the growing concern about the psychological impact of social media. Evidence analysis points out that frequent use contributes to issues such as low self-esteem and stress. The literature review indicates that both young adults and adolescents are negatively affected, showing a significant increase in emotional disorders due to prolonged exposure to social media. The main objective of the work is to better understand how excessive social media use influences mental health and to suggest strategies to mitigate these adverse impacts.Este estudo explora a relação entre o uso excessivo de redes sociais e a saúde mental dos jovens. A pesquisa revela que o uso intenso dessas plataformas está associado a um aumento dos sintomas de depressão e ansiedade, refletindo a crescente preocupação com o impacto psicológico das redes sociais. A análise das evidências aponta que o uso frequente dessas redes contribui para problemas como baixa autoestima e estresse. A revisão bibliográfica indica que tanto jovens adultos quanto adolescentes são afetados negativamente, apresentando um aumento significativo nos transtornos emocionais devido à exposição prolongada a redes sociais. O objetivo principal do trabalho é compreender melhor como o uso excessivo de redes sociais influencia a saúde mental e sugerir estratégias para mitigar esses impactos adversos

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

Search for diboson resonances in hadronic final states in 139 fb −1 of pp collisions at s = 13 TeV with the ATLAS detector

Abstract: Narrow resonances decaying into W W, W Z or ZZ boson pairs are searched for in 139 fb−1 of proton-proton collision data at a centre-of-mass energy of s = 13 TeV recorded with the ATLAS detector at the Large Hadron Collider from 2015 to 2018. The diboson system is reconstructed using pairs of high transverse momentum, large-radius jets. These jets are built from a combination of calorimeter- and tracker-inputs compatible with the hadronic decay of a boosted W or Z boson, using jet mass and substructure properties. The search is performed for diboson resonances with masses greater than 1.3 TeV. No significant deviations from the background expectations are observed. Exclusion limits at the 95% confidence level are set on the production cross-section times branching ratio into dibosons for resonances in a range of theories beyond the Standard Model, with the highest excluded mass of a new gauge boson at 3.8 TeV in the context of mass-degenerate resonances that couple predominantly to gauge bosons

Search for squarks and gluinos in final states with same-sign leptons and jets using 139 fb−1^{-1} of data collected with the ATLAS detector

A search for supersymmetric partners of gluons and quarks is presented, involving signatures with jets and either two isolated leptons (electrons or muons) with the same electric charge, or at least three isolated leptons. A data sample of proton-proton collisions at $\sqrt{s}$ = 13 TeV recorded with the ATLAS detector at the Large Hadron Collider between 2015 and 2018, corresponding to a total integrated luminosity of 139 fb$^{-1}$, is used for the search. No significant excess over the Standard Model expectation is observed. The results are interpreted in simplified supersymmetric models featuring both R-parity conservation and R-parity violation, raising the exclusion limits beyond those of previous ATLAS searches to 1600 GeV for gluino masses and 750 GeV for bottom and top squark masses in these scenarios