Sistema de distribuição aéreo de energia elétrica sem rede de baixa tensão para eliminar furto e fraude.

A dissertação possui como objetivo principal o estudo de viabilidade técnica-financeira de um sistema de distribuição aéreo sem rede de baixa tensão, acoplado a conjuntos de medições inteligentes, para substituir o sistema de distribuição aéreo convencional, nas empresas distribuidoras de energia elétrica com níveis elevados de perdas não técnicas. No relatório base de perdas da Agência Nacional de Energia Elétrica – ANELL identificaram-se as empresas distribuidoras com índices de perdas não técnicas superiores a 10% no ano de 2017, quantificando os valores das suas perdas de energia elétrica e do seu custo anual. Elaborou-se estudo de caso de dois sistemas de distribuição aéreo de energia elétrica com estruturas de redes diferentes, calculando e comparando os valores das suas perdas técnicas sob o mesmo regime de carga (demandas) de unidades consumidoras. O primeiro sistema de distribuição denominado de convencional, formado pelo segmento de rede da média tensão, segmento de transformação e segmento de rede de baixa tensão. O segundo sistema distribuição denominado de proposto, formado pelo segmento de rede da média tensão e segmentos de transformações onde são acoplados os conjuntos de medições inteligentes. Nesse estudo constatou-se que as perdas técnicas o sistema de distribuição proposto são 13% superiores quando comparadas com as perdas do sistema de distribuição convencional. O estudo de viabilidade técnica-financeira foi realizado simulando a substituição do sistema de distribuição convencional pelo sistema de distribuição proposto nas empresas com índices de perdas não técnicas superiores a 10%. Nesse estudo estabeleceram-se hipóteses de que o sistema de distribuição proposto sofre aumento de 13% nos valores das perdas técnicas de energia e em função dos conjuntos de medições inteligentes estarem acoplados nos secundários dos transformadores de distribuição, sofre redução de 70% nas perdas não técnicas de energia elétrica causadas por furto e fraude. Sendo que os outros 30% das perdas não técnicas, foram considerados erros de medição, de leitura e irregularidades diversas de gestão. Com isso, obteve-se uma recuperação de energia elétrica no valor de 1.675 GWh/ano e recuperação de receita de R$ 6,98 bilhões/ano. Com os resultados obtidos concluiu-se que o sistema de distribuição proposto é eficaz para eliminar furtos e fraudes, podendo ser alternativa tecnológica de rede antifurto a ser usada no combate ao roubo de energia, tendo como consequência positiva a contribuição para a modicidade tarifária

Avaliação laboratorial do tipo e teor de ligante e da granulometria na deformação permanente de misturas asfálticas

Este trabalho avaliou a influência na deformação permanente do tipo e teor de ligante asfáltico e da granulometria quanto ao método Bailey, Faixa de Agregado Dominante (FAD) e faixas granulométricas B e C por meio do ensaio uniaxial de carga repetida. Para isso utilizaram-se três ligantes asfálticos, 50/70, AMP 60/85 e o Highly Modified Asphalt (HiMA), quatro granulometrias, sendo duas Faixa B e duas C, e dois métodos de dosagem, Superpave e Marshall, totalizando 24 misturas asfálticas. Os resultados indicaram que as modificações no tipo e no teor dos ligantes asfálticos foram mais influentes na deformação permanente do que a granulometria das misturas, inclusive encontrou-se boa correlação entre a reologia dos ligantes e os Flow Numbers (FNs) obtidos. O método Bailey apresentou-se mais efetivo em conferir ganho de resistência comparado ao método FAD e a utilização da granulometria faixa B não resultou em um melhor comportamento comparado a uma granulometria faixa C

Molecular epidemiological investigation of Mayaro virus in febrile patients from Goiania City, 2017-2018.

Mayaro virus (MAYV) has historically been associated with sylvatic transmission; however, urban outbreaks have been reported in Brazil, including cases of co-detection with dengue virus (DENV). Therefore, we performed a molecular survey to investigate MAYV circulation and cocirculation with DENV within Goiania, a major city in Central-West Brazil. Among 375 subjects with arbovirus-like symptoms, 259 were positive for DENV and 26 for MAYV. Of these, 17 were coinfected with DENV-2, suggesting co-transmission of the viruses. The most common complaints at the time of inclusion were myalgia, headache, fever, arthralgia, retro-orbital pain, and skin rash. No specific symptoms were associated with MAYV when either detected alone or co-detected with DENV, compared to that when DENV was detected alone. Most MAYV-infected subjects were women with no recent travel history to rural/sylvatic areas. Phylogenetic reconstruction indicated that the MAYV identified in this study is closely related with a lineage observed in Peru, belonging to genotype D. Our results corroborate the growing circulation of MAYV in urban environments in Brazil and reinforce the need to implement laboratory diagnosis in the Unified Health System, considering that the clinical manifestations of Mayaro fever are similar to those of other arboviruses, particularly dengue. Furthermore, most cases occurred in association with DENV-2. Further phylogenetic studies are needed to evaluate MAYV, which has not been widely examined

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

Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018 population-based measurement studies with 88.6 million participants

© The Author(s) 2018. Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probittransformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure. Results: In 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the highincome Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association. Conclusions: Change in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups

Forward-central two-particle correlations in p-Pb collisions at root s(NN)=5.02 TeV

Two-particle angular correlations between trigger particles in the forward pseudorapidity range (2.5 2GeV/c. (C) 2015 CERN for the benefit of the ALICE Collaboration. Published by Elsevier B. V.Peer reviewe

Event-shape engineering for inclusive spectra and elliptic flow in Pb-Pb collisions at root(NN)-N-S=2.76 TeV

Peer reviewe

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