986 resultados para Rush Hour.


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Treatment with dexamethasone (DMS) in the early phases of the experimental Schistosoma mansoni infection causes an indirect effect on the cercaria-schistosomulum transformation process. This is observed when naive albino mice are treated with that drug (50 mg/Kg, subcutaneously) and infected intraperitonealy 01 hour later with about 500 S. mansoni cercariae (LE strain). An inhibition in the host cell adhesion to the larvae, with a simultaneous delay in the cercaria-schistosomulum transformation, is observed. This effect is probably due to a blockade of the neutrophil migration to the peritoneal cavity of mice, by an impairment of the release of chemotactic substances. Such delay probably favors the killing of S. mansoni larvae, still in the transformation process, by the vertebrate host defenses, as the complement system.

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Mestrado em Engenharia Química - Tecnologias de Protecção Ambiental

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The importance of wind power energy for energy and environmental policies has been growing in past recent years. However, because of its random nature over time, the wind generation cannot be reliable dispatched and perfectly forecasted, becoming a challenge when integrating this production in power systems. In addition the wind energy has to cope with the diversity of production resulting from alternative wind power profiles located in different regions. In 2012, Portugal presented a cumulative installed capacity distributed over 223 wind farms [1]. In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.In this work the circular data statistical methods are used to analyze and compare alternative spatial wind generation profiles. Variables indicating extreme situations are analyzed. The hour (s) of the day where the farm production attains its maximum daily production is considered. This variable was converted into circular variable, and the use of circular statistics enables to identify the daily hour distribution for different wind production profiles. This methodology was applied to a real case, considering data from the Portuguese power system regarding the year 2012 with a 15-minutes interval. Six geographical locations were considered, representing different wind generation profiles in the Portuguese system.

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Demand response is assumed as an essential resource to fully achieve the smart grids operating benefits, namely in the context of competitive markets and of the increasing use of renewable-based energy sources. Some advantages of Demand Response (DR) programs and of smart grids can only be achieved through the implementation of Real Time Pricing (RTP). The integration of the expected increasing amounts of distributed energy resources, as well as new players, requires new approaches for the changing operation of power systems. The methodology proposed in this paper aims the minimization of the operation costs in a distribution network operated by a virtual power player that manages the available energy resources focusing on hour ahead re-scheduling. When facing lower wind power generation than expected from day ahead forecast, demand response is used in order to minimize the impacts of such wind availability change. In this way, consumers actively participate in regulation up and spinning reserve ancillary services through demand response programs. Real time pricing is also applied. The proposed model is especially useful when actual and day ahead wind forecast differ significantly. Its application is illustrated in this paper implementing the characteristics of a real resources conditions scenario in a 33 bus distribution network with 32 consumers and 66 distributed generators.

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The intensive use of distributed generation based on renewable resources increases the complexity of power systems management, particularly the short-term scheduling. Demand response, storage units and electric and plug-in hybrid vehicles also pose new challenges to the short-term scheduling. However, these distributed energy resources can contribute significantly to turn the shortterm scheduling more efficient and effective improving the power system reliability. This paper proposes a short-term scheduling methodology based on two distinct time horizons: hour-ahead scheduling, and real-time scheduling considering the point of view of one aggregator agent. In each scheduling process, it is necessary to update the generation and consumption operation, and the storage and electric vehicles status. Besides the new operation condition, more accurate forecast values of wind generation and consumption are available, for the resulting of short-term and very short-term methods. In this paper, the aggregator has the main goal of maximizing his profits while, fulfilling the established contracts with the aggregated and external players.

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Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

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The development in power systems and the introduction of decentralized generation and Electric Vehicles (EVs), both connected to distribution networks, represents a major challenge in the planning and operation issues. This new paradigm requires a new energy resources management approach which considers not only the generation, but also the management of loads through demand response programs, energy storage units, EVs and other players in a liberalized electricity markets environment. This paper proposes a methodology to be used by Virtual Power Players (VPPs), concerning the energy resource scheduling in smart grids, considering day-ahead, hour-ahead and real-time scheduling. The case study considers a 33-bus distribution network with high penetration of distributed energy resources. The wind generation profile is based on a real Portuguese wind farm. Four scenarios are presented taking into account 0, 1, 2 and 5 periods (hours or minutes) ahead of the scheduling period in the hour-ahead and realtime scheduling.

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Neste relatório apresentam-se resultados de um estudo estatístico que procura contribuir para um melhor entendimento da problemática inerente à liberalização do setor elétrico em Portugal e dos desafios que esta liberalização, existente desde meados de 2007, trás aos seus intervenientes. Iniciam-se os trabalhos com um estudo que pretende avaliar a existência de relação entre o Preço de Mercado da eletricidade e um conjunto de variáveis potencialmente explicativas/condicionantes do Preço de Mercado. Neste estudo consideram-se duas abordagens. A primeira usa a função de correlação cruzada para avaliar a existência de relação do tipo linear entre pares de variáveis. A segunda considera o teste causalidade de Granger na avaliação de uma relação de causa e efeito entre esses pares. Este estudo avaliou a relação entre o Preço de Mercado da eletricidade e 19 variáveis ditas condicionantes distribuídas por três categorias distintas (consumo e produção de eletricidade; indicadores climáticos; e energias primárias). O intervalo de tempo em estudo cinge-se ao biénio 2012-2103. Durante este período avaliam-se as relações entre as variáveis em diversos sub-períodos de tempo em ciclos de consumo representativos do consumo em baixa (fim de semana) e de consumo mais elevado (fora de vazio) com os valores observados de cada uma das variáveis tratados com uma base horária e diária (média). Os resultados obtidos mostram a existência relação linear entre algumas das variáveis em estudo e o preço da eletricidade em regime de mercado liberalizado, mas raramente é possível identificar precedência temporal entre as variáveis. Considerando os resultados da análise de correlação e causalidade, apresenta-se ainda um modelo de previsão do Preço de Mercado para o curto e médio prazo em horas de período fora de vazio.

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Com o advento da invenção do modelo relacional em 1970 por E.F.Codd, a forma como a informação era gerida numa base de dados foi totalmente revolucionada. Migrou‐se de sistemas hierárquicos baseados em ficheiros para uma base de dados relacional com tabelas relações e registos que simplificou em muito a gestão da informação e levou muitas empresas a adotarem este modelo. O que E.F.Codd não previu foi o facto de que cada vez mais a informação que uma base de dados teria de armazenar fosse de proporções gigantescas, nem que as solicitações às bases de dados fossem da mesma ordem. Tudo isto veio a acontecer com a difusão da internet que veio ligar todas as pessoas de qualquer parte do mundo que tivessem um computador. Com o número de adesões à internet a crescer, o número de sites que nela eram criados também cresceu (e ainda cresce exponencialmente). Os motores de busca que antigamente indexavam alguns sites por dia, atualmente indexam uns milhões de sites por segundo e, mais recentemente as redes sociais também estão a lidar com quantidades gigantescas de informação. Tanto os motores de busca como as redes sociais chegaram à conclusão que uma base de dados relacional não chega para gerir a enorme quantidade de informação que ambos produzem e como tal, foi necessário encontrar uma solução. Essa solução é NoSQL e é o assunto que esta tese vai tratar. O presente documento visa definir e apresentar o problema que as bases de dados relacionais têm quando lidam com grandes volumes de dados, introduzir os limites do modelo relacional que só até há bem pouco tempo começaram a ser evidenciados com o surgimento de movimentos, como o BigData, com o crescente número de sites que surgem por dia e com o elevado número de utilizadores das redes sociais. Será também ilustrada a solução adotada até ao momento pelos grandes consumidores de dados de elevado volume, como o Google e o Facebook, enunciando as suas características vantagens, desvantagens e os demais conceitos ligados ao modelo NoSQL. A presente tese tenciona ainda demonstrar que o modelo NoSQL é uma realidade usada em algumas empresas e quais as principias mudanças a nível programático e as boas práticas delas resultantes que o modelo NoSQL traz. Por fim esta tese termina com a explicação de que NoSQL é uma forma de implementar a persistência de uma aplicação que se inclui no novo modelo de persistência da informação.

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Over the last 30 years, a number of Vibrio species found in the aquatic environment have been indicated as cause of disease in human beings. Vibrio vulnificus is an emergent pathogen, an invasive and lethal marine bacterium related to wound infection and held accountable for gastroenteritis and primary septicemia. It occurs quite frequently in marine organisms, mainly in mollusks. This study aimed at isolating and identifying strains of V. vulnificus based upon the analysis of twenty samples of seabob shrimp, Xiphopenaeus kroyeri (Heller), purchased at the Mucuripe fish market (Fortaleza, Brazil). TCBS agar was used to isolate suspect strains. Seven of twenty-nine strains isolated from six different samples were confirmed as such by means of biochemical evidence and thus submitted to biological assays to determine their virulence. The susceptibility of the V. vulnificus strains to a number of antibiotics was tested. None of the V. vulnificus strains showed signs of virulence during a 24-hour observation period, possibly due to the shedding of the capsules by the cells. As to the results of the antimicrobial susceptibility tests, the seven above-mentioned V. vulnificus strains were found to be sensitive to nitrofurantoin (NT), ciprofloxacin (CIP), gentamicin (GN) and chloramphenicol (CO) and resistant to clindamycin (CI), penicillin (PN) and ampicillin (AP).

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Two passive methods in the assessment of intradomiciliary infestation by Rhodnius ecuadoriensis were tested: (i) the Gomes Nuñez sensor box (GN), (ii) sheets of white typing paper and (iii) one active timed manual method. The study was carried out in the Alto Chicama River Valley, Province of Gran Chimú, Department of La Libertad. The study design consisted of an initial searching of triatomines inside of the domestic environment by the manual capture active procedure (man/hour) covering all the studied houses. Then, matched pairs of GN boxes and paper sheets were simultaneously installed in the bedrooms of 207 households distributed in 19 localities. A comparative prospective trial of these passive detection devices were monitored at 2, 4 and, finally 6 months follow-up. Parasitological Trypanosoma rangeli and/or T. cruzi infections were investigated in two houses with high level of infestation by R. ecuadoriensis. 16.9% of the 207 households investigated by an initial active manual method were infested with R. ecuadoriensis. The proportion of infested houses fluctuated from 6.2 to 55.5% amongst the 19 localities investigated. T. rangeli natural infection was detected in R. ecuadoriensis specimens collected in two households. Parasite rates in the bugs ranged from 16.6 to 21.7% respectively. The most striking fact was an average rate of salivary gland infection ranging from 7.4 to 8.3%. At the end of the sixth month period, a cumulative incidence of 31.4% of positive GN boxes against 15.9% for paper sheets was recorded. All three methods combined detected domestic infestation in 129 (62.3%) of the 207 houses studied in the 19 localities. The range of houses infested varies from 6.7% to 92.9%. In areas with low bug density infestation rates, the methodology experienced in our studies, seems to be the best choice for investigations on domestic R. ecuadoriensis populations.

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Sulfadiazine is an antibiotic of the sulfonamide group and is used as a veterinary drug in fish farming. Monitoring it in the tanks is fundamental to control the applied doses and avoid environmental dissemination. Pursuing this goal, we included a novel potentiometric design in a flow-injection assembly. The electrode body was a stainless steel needle veterinary syringe of 0.8-mm inner diameter. A selective membrane of PVC acted as a sensory surface. Its composition, the length of the electrode, and other flow variables were optimized. The best performance was obtained for sensors of 1.5-cm length and a membrane composition of 33% PVC, 66% onitrophenyloctyl ether, 1% ion exchanger, and a small amount of a cationic additive. It exhibited Nernstian slopes of 61.0 mV decade-1 down to 1.0×10-5 mol L-1, with a limit of detection of 3.1×10-6 mol L-1 in flowing media. All necessary pH/ionic strength adjustments were performed online by merging the sample plug with a buffer carrier of 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid, pH 4.9. The sensor exhibited the advantages of a fast response time (less than 15 s), long operational lifetime (60 days), and good selectivity for chloride, nitrite, acetate, tartrate, citrate, and ascorbate. The flow setup was successfully applied to the analysis of aquaculture waters. The analytical results were validated against those obtained with liquid chromatography–tandem mass spectrometry procedures. The sampling rate was about 84 samples per hour and recoveries ranged from 95.9 to 106.9%.

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INTRODUCTION: Chylothorax is a rare but serious postoperative condition in children with congenital heart disease. Conventional medical treatment consists of specific long-term dietary modification, and surgical reintervention, such as lymphatic duct ligation, may be indicated in refractory cases. In recent years, an additional conservative treatment, octreotide, a synthetic analog of somatostatin, has been used in management of congenital and postoperative chylothorax. METHODS: The objective of this work was to analyze the efficacy and safety of this treatment for chylothorax after congenital heart surgery. We reviewed the records of sixteen patients with chylothorax after surgery for congenital heart disease between January 1999 and December 2007, and collected the following data: demographic information; type of surgical procedure; onset, duration and management of chylothorax and treatment; and duration of hospital stay. To analyze efficacy we compared these parameters in children receiving conventional treatment only with those receiving octreotide. To analyze safety we compared the adverse effects of both treatments. Octreotide was administered at a dose of 4 to 10 microg/kg/hour, with monitoring of side effects. RESULTS: The incidence of chylothorax in our population was 1.6%. It occurred more often after Glenn and Fontan procedures (8 patients). Octreotide was begun three days after diagnosis of chylothorax and continued for a median of seventeen days (ranging from 4 to 26 days), until complete resolution. Side effects were frequent (in 3 of the 8 patients) but of no clinical relevance. All patients responded to the therapy and there was no indication for further surgical intervention. DISCUSSION AND CONCLUSIONS: Octreotide is safe and effective in the treatment of postoperative chylothorax in children with congenital heart disease. It is a useful adjunctive therapy to the conventional treatment of this complication.

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RESUMO:A determinação da fracção exalada de óxido nítrico (FENO) é amplamente utilizada como um biomarcador da inflamação eosinofílica das vias aéreas. Alguns estudos sugerem que a produção de óxido nítrico (NO) é influenciada pelas variações cíclicas hormonais na mulher,porém os dados não são consensuais. Deste modo, o objectivo do nosso estudo foi avaliar como varia a FENO ao longo do ciclo menstrual. Com esta finalidade, avaliamos um grupo de 20 voluntárias, em idade fértil, com ciclo menstrual regular, não fumadoras, que não utilizavam contraceptivos hormonais, nem suplementos alimentares e/ou medicamentosos e que não se encontravam grávidas, nem a amamentar. Todas referiram não ter conhecimento de qualquer patologia que afecte a FENO. A existência de atopia foi controlada através de testes cutâneos por prick, tendo-se excluído as participantes que apresentaram testes positivos. Realizamos quatro visitas de estudo, com base na periodicidade do ciclo de cada participante, nas quais, efectuamos a determinação da FENO, a quantificação dos níveis plasmáticos de óxido nítrico e nitratos (NO/NO3 -) e o doseamento hormonal de 17 -estradiol e progesterona. As avaliações realizaram-se no período da manhã, em jejum absoluto, tendo respeitado uma dieta pobre em nitratos no dia anterior e abstido da prática de exercício vigoroso uma hora antes da avaliação. Com este trabalho, verificamos um aumento significativo da FENO na fase secretora (17.97 ppb ± 5.8) comparativamente com a fase menstrual e proliferativa (16.48 ppb ± 3.6 e 15.95 ppb ±2.8, respectivamente). Não observamos variações significativas dos níveis plasmáticos de NO/NO3 - ao longo do ciclo. Constatamos uma correlação positiva entre a FENO e os níveis plasmáticos de NO/NO3 - durante a ovulação e verificamos que, para a nossa amostra, os níveis hormonais de estradiol e progesterona não são preditores do valor da FENO, nem dos níveis plasmáticos de NO/NO3-. Os resultados deste trabalho mostram uma variação da FENO ao longo do ciclo, ainda assim, mantendo-se os seus valores dentro do intervalo de referência, reforçando a fiabilidade deste biomarcador.--ABSTRACT:The determination of fractional exhaled nitric oxide (FENO) is widely used as a biomarker of eosinophilic airway inflammation. Some studies suggest that nitric oxide (NO) is influenced by cyclical hormonal changes in women, but those are not consensual. The aim of our study was to assess how FENO varies throughout the menstrual cycle. With this purpose, we studied a group of 20 volunteers within childbearing age, with regular menstrual cycle, non-smokers, who were not taking any medications including hormonal contraception and food supplements and who were not pregnant or breast-feeding. All participants reported not being aware of any condition that could affect the FENO. The presence of atopy was controlled by a skin prick test, having been excluded participants with positive test. We conducted four study visits, based on the periodicity of the cycle of each participant. In each visit, we made the determination of the FENO, the quantification of plasmatic levels of nitric oxide and nitrates (NO/NO3 -) and the blood levels of hormone estradiol-17 and progesterone. The evaluations occurred at morning, after overnight fasting. The participants were request to follow a low-nitrate diet in the previous day and refrained from vigorous exercise, for at least one hour before the visit We found a significant increase of FENO on secretory phase (17.97 ppb ± 5.8) compared with the menstrual and proliferative phase (16.48 ppb ± 3.6 and 15.95 ppb ± 2.8, espectively). No significant variations were found throughout the menstrual cycle in plasmatic levels of NO/NO3 -. We found a positive correlation between FENO and plasmatic levels of NO/NO3 - during ovulation. Finally, in our sample, the levels of oestradiol and progesterone are not predictors of FENO value nor of plasmatic levels of NO/NO3-. This study shows a variation of FENO over the menstrual cycle, nevertheless, the values remain within the reference range, reinforcing the reliability of this biomarker.

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Listeria monocytogenes, etiological agent of severe human foodborne infection, uses sophisticated mechanisms of entry into host cytoplasm and manipulation of the cellular cytoskeleton, resulting in cell death. The host cells and bacteria interaction may result in cytokine production as Tumor Necrosis Factor (TNF) alpha. Hepatocytes have potential to produce pro-inflammatory cytokines as TNF-alpha when invaded by bacteria. In the present work we showed the behavior of hepatocytes invaded by L. monocytogenes by microscopic analysis, determination of TNF-alpha production by bioassay and analysis of the apoptosis through TUNEL technique. The presence of bacterium, in ratios that ranged from 5 to 50,000 bacteria per cell, induced the rupture of cellular monolayers. We observed the presence of internalized bacteria in the first hour of incubation by electronic microscopy. The levels of TNF-alpha increased from first hour of incubation to sixth hour, ranging from 0 to 3749 pg/mL. After seven and eight hours of incubation non-significant TNF-alpha levels decrease occurred, indicating possible saturation of cellular receptors. Thus, the quantity of TNF-alpha produced by hepatocytes was dependent of the incubation time, as well as of the proportion between bacteria and cells. The apoptosis rate increased in direct form with the incubation time (1 h to 8 + 24 h), ranging from 0 to 43%, as well as with the bacteria : cells ratio. These results show the ability of hepatocyte invasion by non-hemolytic L. monocytogenes, and the main consequences of this phenomenon were the release of TNF-alpha by hepatocytes and the induction of apoptosis. We speculate that hepatocytes use apoptosis induced by TNF-alpha for release bacteria to extracellular medium. This phenomenon may facilitate the bacteria destruction by the immune system.