UMA INVESTIGAÇÃO SOBRE A BALANÇA COMERCIAL DE PARNAÍBA-PI: uma análise no período 2007-2017

A dinâmica de comércio para o município desempenha uma influência importante tanto no que diz respeito à melhora de seus indicadores de atividade econômica como também influencia nos indicadores sociais. Com base nisso, o presente estudo partiu do seguinte problema: qual foi o comportamento da balança comercial de Parnaíba-PI entre 2007 e 2017? O objetivo geral deste estudo foi o de analisar a balança comercial de Parnaíba-PI no período 2007 a 2017, cujos objetivos específicos foram: I) Descrever a importância do comércio exterior para o crescimento econômico; e II) Compreender os fatores determinantes da balança comercial do município de Parnaíba-PI. Como métodos e procedimentos metodológicos, este estudo teve, inicialmente, um levantamento de cunho bibliográfico, para que as informações necessárias existentes sobre a temática proposta. Posteriormente, o estudo continuou com uma pesquisa de documental e exploratória, para que, com isso, as informações e análises fossem devidamente realizadas. Como considerações finais, estudo chegou à conclusão que de que, Parnaíba-PI ainda depende de uma política mais propositiva no que diz respeito ao comércio exterior, para que possa, dessa forma, garantir que os ganhos de escala sejam incorporados gradualmente ao longo do tempo e que, de fato, isto seja verificado no âmbito do desenvolvimento econômico local.Palavras-chave: Balança comercial. Parnaíba. Exportação. Importação.AN INVESTIGATION ON THE PARNAÍBA-PI TRADE BALANCE: an analysis in the period 2007-2017ABSTRACTThe dynamics of trade for the municipality has an important influence both in terms of improving its indicators of economic activity as well as influencing social indicators. Based on this, the present study started from the following problem: what was the behavior of the Parnaíba-PI trade balance between 2007 and 2017? The general objective of this study was to analyze the Parnaíba-PI trade balance from 2007 to 2017, whose specific objectives were: I) Describe the importance of foreign trade for economic growth; and II) Understand the factors determining the trade balance of Parnaíba-PI. As methods and methodological procedures, this study initially had a bibliographic survey, so that the necessary information on the proposed theme existed. Subsequently, the studycontinued with a documentary and exploratory research, so that, with this, the information and analysis were properly performed. As a final consideration, the study found that Parnaíba-PI still relies on a more purposeful foreign trade policy, so that it can ensure that scale gains are gradually incorporated over time. and that, in fact, this is verified in the context of local economic development.Keywords: Trade balance. Parnaiba. Export. Import.UNA INVESTIGACIÓN SOBRE EL BALANCE COMERCIAL DE PARNAÍBA-PI: un análisis en el 2007-2017RESUMENLa dinámica del comercio para el municipio tiene una influencia importante tanto en términos de mejorar sus indicadores de actividad económica como en influir en los indicadores sociales. En base a esto, el presente estudio comenzó con el siguiente problema: ¿cuál fue el comportamiento de la balanza comercial Parnaíba-PI entre 2007 y 2017? El objetivo general de este estudio fue analizar la balanza comercial Parnaíba-PI de 2007 a 2017, cuyos objetivos específicos fueron: I) Describir la importancia del comercio exterior para el crecimiento económico; y II) Comprender los factores que determinan la balanza comercial de Parnaíba-PI. Como métodos y procedimientos metodológicos, este estudio inicialmente tenía una encuesta bibliográfica, por lo que existía la informaciónnecesaria sobre el tema propuesto. Posteriormente, el estudio continuó con una investigación documental y exploratoria, de modo que, con esto, la información y el análisis se realizaron correctamente. Como consideración final, el estudio encontró que Parnaíba-PI todavía se basa en una política de comercio exterior más decidida, de modo que pueda garantizar que las ganancias de escala se incorporen gradualmente con el tiempo. y que, de hecho, esto se verifica en el contexto del desarrollo económico local.Palabras clave: Balanza comercial. Parnaiba. Exportación. Importación

A multibiomarker approach in the caged neotropical fish to assess the environment health in a river of central Brazilian Cerrado

Embargo until 19 August 2022.Water safety is a world-wide concern and several efforts have been made in order to ensure the conservation of aquatic ecosystems. Water quality monitoring must be performed with an integrated approach using biomonitor organisms allied to water parameters. Nonetheless, very few studies have focused on biomarker responses in neotropical fish, especially in the freshwater ecosystem of Brazilian Cerrado savanna. In present study, the active biomonitoring of the João Leite river (central Brazilian Cerrado river) was performed through the evaluation of biomarker responses in caged Astyanax lacustris in combination with land use classification and analysis of water parameters. Caged fish were exposed for seven days at four sites along the river and two control groups were kept in a tank under controlled conditions. Results showed that pasture was the predominant land use in the João Leite river basin (54.07%), followed by natural vegetation (34.92%) and other kind of land use (11.01%). Water analyses showed metal concentrations (Mn and Fe) above the maximum allowed by Brazilian regulation, with particularly higher concentrations at Site 2 (near to pasture area). Biomarker responses did not show significant differences for somatic and mutagenic biomarkers between sites. However, the comet assay showed high DNA damage at Sites 2 and 3, indicating genotoxic effects in caged fish at pasture areas. Histopathological analysis showed highest frequency of leukocyte infiltration in liver of fish from Site 2, confirming the ecotoxic effects on A. lacustris in streams impacted by grazing activities. DNA damage and leukocyte infiltration in fish hepatic tissues were sensitive biomarkers in the neotropical fish A. lacustris to assess the environment health of the Cerrado river. These results showed the importance of using a multibiomarker approach in environmental risk assessment, especially in areas more at risk from anthropogenic pollution.acceptedVersio

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort

Background: The city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil. Methods: A convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms. Findings: 2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52–14·79) overall and 6·78% (5·61–8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54–61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21–1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09–1·45]), relaxation of physical distancing (1·31 [1·05–1·64]), and having flu-like symptoms (1·79 [1·23–2·59]) or a COVID-19 diagnosis (3·57 [2·27–5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56–0·97]). Interpretation: An intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures. Funding: Ministry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.World Health OrganizationRevisión por pare

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

Mapping density, diversity and species-richness of the Amazon tree flora

Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution

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

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good

Measurement of associated W plus charm production in pp collisions at √s=7 TeV

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