13 research outputs found

    Behavior problems and prevalence of asthma symptoms among Brazilian children.

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    OBJECTIVE: Asthma is the most common chronic disease in childhood and has been designated a public health problem due to the increase in its prevalence in recent decades, the amount of health service expenditure it absorbs and an absence of consensus about its etiology. The relationships among psychosocial factors and the occurrence, symptomatology, and severity of asthma have recently been considered. There is still controversy about the association between asthma and a child's mental health, since the pathways through which this relationship is established are complex and not well researched. This study aims to investigate whether behavior problems are associated with the prevalence of asthma symptoms in a large urban center in Latin America. METHODS: It is a cross-section study of 869 children between 6 and 12 years old, residents of Salvador, Brazil. The International Study of Allergy and Asthma in Childhood (ISAAC) instrument was used to evaluate prevalence of asthma symptoms. The Child Behavior Checklist (CBCL) was employed to evaluate behavioral problems. RESULTS: 19.26% (n=212) of the children presented symptoms of asthma. 35% were classified as having clinical behavioral problems. Poisson's robust regression model demonstrated a statistically significant association between the presence of behavioral problems and asthma symptoms occurrence (PR: 1.43; 95% CI: 1.10-1.85). CONCLUSION: These results suggest an association between behavioral problems and pediatric asthma, and support the inclusion of mental health care in the provision of services for asthma morbidity

    IMPERATRIZ, O POVO E A FAMA: a violência imaginária no jornal O Progresso (MA)

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    O artigo discute a violência no jornal maranhense O Progresso (OP ) a partir das teorias do imaginário (MAFFESOLI, 2001; 2003a; SILVA, 2012). Fundado em 1970, o veículo assume lugar de destaque na produção do discurso que fundamenta a modernização da cidade de Imperatriz. OP encena a violência ao relatar e opinar sobre os crimes, ao mesmo tempo em que procura negar que Imperatriz seja considerada violenta. O semanário reitera a mitologia profissional ao se colocar como instância neutra, mediadora dos fatos e o público. O corpus é composto por 79 ocorrências dos anos de 1970 e 1971. Compreendemos a violência imaginária como um constructo simbólico resultante da ação jornalística sobre a realidade.   PALAVRAS-CHAVE: jornalismo; imaginário; violência; O Progresso; Imperatriz.   ABSTRACT The article discusses the violence in the newspaper O Progresso (OP) from the theories of the imaginary (MAFFESOLI, 2001; 2003a; SILVA, 2012). Founded in 1970, the vehicle takes center stage in the production of the speech that underpins the modernization of the city of Imperatriz. OP enacts violence when reporting and opining about crimes, while at the same time trying to deny that Imperatriz is considered violent. The weekly magazine reiterates the professional mythology when it is placed like neutral instance, mediator of the facts and the public. The corpus is composed of 79 occurrences of the years 1970 and 1971. We understand imaginary violence as a symbolic construct resulting from the journalistic action on reality.   KEYWORDS: journalism; imaginary; violence; O Progresso; Imperatriz.   RESUMEN El artículo discute la violencia en el diario maranhense O Progresso (OP) a partir de las teorías del imaginario (MAFFESOLI, 2001; 2003a; SILVA, 2012). Fundado en 1970, el vehículo asume un lugar destacado en la producción del discurso que fundamenta la modernización de la ciudad de Imperatriz. OP encena la violencia al relatar y opinar sobre los crímenes, al mismo tiempo que busca negar que Imperatriz sea considerada violenta. El semanario reitera la mitología profesional al colocarse como instancia neutra, mediadora de los hechos y el público. El corpus se compone de 79 ocurrencias de los años 1970 y 1971. Comprendemos la violencia imaginaria como un constructo simbólico resultante de la acción periodística sobre la realidad.   PALABRAS CLAVE: Periodismo; imaginario; violencia; O Progresso; Imperatriz

    Pervasive gaps in Amazonian ecological research

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    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

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    Pervasive gaps in Amazonian ecological research

    Get PDF
    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

    Rock n' Seeds: A database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation

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    Advancing functional ecology depends fundamentally on the availability of data on reproductive traits, including those from tropical plants, which have been historically underrepresented in global trait databases. Although some valuable databases have been created recently, they are mainly restricted to temperate areas and vegetative traits such as leaf and wood traits. Here, we present Rock n' Seeds, a database of seed functional traits and germination experiments from Brazilian rock outcrop vegetation, recognized as outstanding centers of diversity and endemism. Data were compiled through a systematic literature search, resulting in 103 publications from which seed functional traits were extracted. The database includes information on 16 functional traits for 383 taxa from 148 genera, 50 families, and 25 orders. These 16 traits include two dispersal, six production, four morphological, two biophysical, and two germination traits-the major axes of the seed ecological spectrum. The database also provides raw data for 48 germination experiments, for a total of 10,187 records for 281 taxa. Germination experiments in the database assessed the effect of a wide range of abiotic and biotic factors on germination and different dormancy-breaking treatments. Notably, 8255 of these records include daily germination counts. This input will facilitate synthesizing germination data and using this database for a myriad of ecological questions. Given the variety of seed traits and the extensive germination information made available by this database, we expect it to be a valuable resource advancing comparative functional ecology and guiding seed-based restoration and biodiversity conservation in tropical megadiverse ecosystems. There are no copyright restrictions on the data; please cite this paper when using the current data in publications; also the authors would appreciate notification of how the data are used in publications

    Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

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    Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

    Coletânea das experiências de inovação na graduação da Unesp

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    Núcleos de Ensino da Unesp: artigos 2013: volume 2: metodologias de ensino e a apropriação de conhecimento pelos alunos

    No full text
    Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP
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