920 resultados para diffusive viscoelastic model, global weak solution, error estimate
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Fontes renováveis de energia baseadas na geração fotovoltaica (GFV) são alternativas energéticas promissoras para a complementação da geração elétrica convencional e centralizada, como usinas térmicas a diesel que suprem potência para redes elétricas isoladas em cidades e localidades remotas na Amazônia. A alocação e o dimensionamento de geradores para aplicação como geração distribuída (GD) é um problema desafiador, com implicações técnicas e econômicas, relacionadas ao planejamento, projeto e operação da rede e, particularmente, a GFV em função das condições ambientais, principalmente radiação solar e temperatura ambiente. Esta tese apresenta uma metodologia analítica para alocar e dimensionar a potência ativa de unidades de geração fotovoltaica, composta pelo gerador FV integrado ao inversor CC/CA (GDFV) para integração, de forma concentrada ou dispersa em redes isoladas de média tensão, e contempla o atendimento de múltiplos objetivos, melhoria do perfil de tensão da rede, redução das perdas ativas e redução da participação da geração a diesel, proporcionando redução no consumo de óleo diesel e, consequentemente, redução da poluição ambiental. A solução global do método proposto constitui um compromisso em relação a esses objetivos, apresentando ponderações diferenciadas para os mesmos, de acordo com prioridades estabelecidas no planejamento do sistema elétrico sob estudo. Para validação da metodologia proposta, foram modeladas e simuladas as redes de 33 e 69 barras do IEEE e um sistema elétrico isolado, cuja usina térmica a diesel supre alimentação para a cidade de Aveiro-PA, Região Amazônica, obtendo-se como resultados dessas simulações melhoria significativa no perfil de tensão, redução nas perdas ativas e na potência de geração a diesel, de acordo com indicadores técnicos que permitem a avaliação quantitativa da integração da GDFV na rede elétrica.
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No presente trabalho, simulamos as propriedades de transporte e espectro de absorção do composto orgânico Vermelho de Etila. Este é o primeiro estudo teórico de um indicador específico de pH utilizado como nanodispositivo, com base na teoria quântica e no modelo de transporte não-difuso. A distribuição de carga ao longo da molécula é determinada através da técnica, Ab initio, como uma função de um campo elétrico externo. Baseado em um modelo de multiníveis ressonantes também calculamos a corrente como função da tensão de polarização. O acúmulo de carga e a corrente apresentam comportamento semelhante, como a condução do tipo ressonante e curvas carga-tensão e corrente-tensão assimétricas. Os principais resultados sugerem que o sistema presente poderia funcionar como um transistor molecular bi-direcional. Estendemos esta metodologia de análise para outro dispositivo molecular, mas composto de três terminais. Para este sistema, nossa descoberta principal é a resistência diferencial negativa (RDN) na carga Q como uma função do campo elétrico externo. Para explicar este efeito RDN, aplicamos um modelo capacitivo fenomenológico, também baseado em um sistema de multiníveis localizados (que podem ser os LUMOs – Lowest Unoccupied Molecular Orbital – Orbitais moleculares desocupados mais baixos). A capacitância descreve, por efeito de carregamento, a causa do bloqueio de Coulomb (BC) no transporte. Mostramos que o efeito BC dá origem a uma RDN para um conjunto adequado de parâmetros fenomenológicos como: taxa de tunelamento e energia de carregamento. O perfil da RDN obtida nas duas metodologias, ab initio e fenomenológica, estão em comum acordo.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The aim of this study was to determine the coefficients of the Goettingen model for Redbro birds and estimate the digestible lysine requirements. To determine the model parameters, three nitrogen balance trials were performed in Periods I (14-28 days), II (42-56 days) and III (70-84 days), using 42 birds per trial. The birds were individually housed and subjected to six diets with increasing levels of nitrogen, with lysine as the limiting amino acid (deficient by 20% in relation to other amino acids). Dietary nitrogen concentrations were 8, 16, 24, 32, 40 and 48 g/kg. A control diet was added to confirm lysine as the first limiting amino acid. Nitrogen balance trials were divided into 5 days of adaptation and two periods of excreta collection, each one of 5 days. The response of the birds to a control diet confirmed that lysine was the first limiting amino acid. The adjustment of the exponential functions between nitrogen retention or excretion and nitrogen intake allowed estimation of parameters of the Goettingen model. The maximum potential for nitrogen retention was 3276, 2585 and 2603 mg/BWkg0.67.day, nitrogen maintenance requirement was 225, 135 and 122 mg/BWkg0.67.day and efficiency of nitrogen utilisation was 313 x 10(-6), 406 x 10(-6) and 415 x 10(-6) in the phases of 14-28, 42-56 and 70-84 days. The digestible lysine intake for Periods I, II and III, based on 60% of the maximum potential for nitrogen retention, was 711, 989 and 1272 mg/day (1.225%, 1.137% and 1.09% of lysine in the diet for a daily feed intake of 58, 87 and 117 g/day), respectively.
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Post-Occupancy Evaluation of buildings considers user satisfaction, building pathologies and performance, as well as users interventions in the built environment. The possibility of identifying interventions regardless of the user could provide a significant gain in the efficiency of Post-Occupancy Evaluations. We foresee the application of Augmented Reality (AR) to improve the identification of renovations by overlapping the construction information model with an image of the actual building. This article validates the use of AR on existing smartphone and tablet applications. This study proposes the incorporation of AR into the planning, execution and application of Post-Occupancy Evaluation. For the planning, this study proposes the development of a new research tool. With regards to the execution, this study examined the data collection conditions on site through the visualization of overlapping models. For the application, this study proposes displaying the results through the use of RA information layers. The transparency oft he RA model was used to allow comparison between the virtual model and the real model. The development and adaptation of the virtual model and the solution developed for the experiment of the RA proposal are presented and discussed. The experiment points to shortcomings that still make the proposed technological solution unfeasible.
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The dental trade has offered dental impression and dental stone for orthodontic use ensuring accurate models. The compatibility between these materials is defined by the wetting of the model surfaces by the mixture water/stone poured over it and the influenced by the method of disinfection of model and disinfectant solution used. It was evaluated the influence of spray disinfection with sodium hypochlorite 1% on the wettability of two commercial alginate (Jeltrate ® - Dentsply and Orthoprint ® - Zhermack) at two commercial type III gypsum (Rio ® - ME and AOBussoli Orthogesso Orthogesso ®-SA). Twenty models were fabricated for each type of alginate, which were divided into two groups (water and sodium hypochlorite), receiving respectively water and sodium hypochlorite 1% spray. Each group of models was then further divided into two subgroups, and on their surface were poured 2 ml of type III gypsum (Gesso Rio® or Orthogesso®). Reached the final setting of the gypsum specimens were sectioned vertically and medially, settled water with sandpaper No. 400 and mounted on suitable device for reading (in the right and left) of the contact angle Carl Zeiss microscope (precision, 001). The results were submitted to ANOVA and founded statistical significance for solutions used. It was concluded that sodium hypochlorite spray improved wettability of alginates studied.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Toxoplasmosis is a worldwide zoonosis caused by Toxoplasma gondii, and can infect a wide variety of animals including humans. Domestic animals can be an important sentinel population for infection in the community. Occurrence of T. gondii infection was assessed in dogs in the urban area of Botucatu city, SP, Brazil. In the sample, 10% rate for error estimate, 95% confidence interval, and 5% significance level were established. Serum samples were collected from dogs during a rabies vaccination campaign, and were processed using modified agglutination test (MAT). Blood samples were collected from 670 dogs, with homogeneous distribution in five regions in the urban area, representing 3.74% of 17,910 animals vaccinated. In this sample, 17.3% (116/670) dogs (68 – 58.6% female and 48 – 41.4% male) were positive for T. gondii infection (p<0.03). Regarding age of the infected dogs 4.6% (4/88) were younger and 95.4% (84/88) were older than one year (p<0.01); the age of 28 positive animals were undetermined. The serum titers of anti-T. gondii antibodies were: 16 (69.8%; 81/116), 64 (13.8%; 16/116), 256 (15.5%; 18/116), and 1024 (0.9%; 1/116). Prevalence was distributed among the North 14.2% (19/134), South 18.0% (31/172), East 15.7% (19/121), West 21.6% (27/125), and Central 16.9% (20/118) regions of the municipality (p=0.5). In all these regions, females and dogs aged more than one year showed a higher occurrence of T. gondii infection (p<0.05).
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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A method is presented for estimating age-specific mortality based on minimal information: a model life table and an estimate of longevity. This approach uses expected patterns of mammalian survivorship to define a general model of age-specific mortality rates. One such model life table is based on data for northern fur seals (Callorhinus ursinus) using Siler’s (1979) 5-parameter competing risk model. Alternative model life tables are based on historical data for human females and on a published model for Old World monkeys. Survival rates for a marine mammal species are then calculated by scaling these models by the longevity of that species. By using a realistic model (instead of assuming constant mortality), one can see more easily the real biological limits to population growth. The mortality estimation procedure is illustrated with examples of spotted dolphins (Stenella attenuata) and harbor porpoise (Phocoena phocoena).
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Time correlation functions of current fluctuations were calculated by molecular dynamics (MD) simulations in order to investigate sound waves of high wavevectors in the glass-forming liquid Ca(NO3)(2)center dot 4H(2)O. Dispersion curves, omega(k), were obtained for longitudinal (LA) and transverse acoustic (TA) modes, and also for longitudinal optic (LO) modes. Spectra of LA modes calculated by MD simulations were modeled by a viscoelastic model within the memory function framework. The viscoelastic model is used to rationalize the change of slope taking place at k similar to 0.3 angstrom(-1) in the omega(k) curve of acoustic modes. For still larger wavevectors, mixing of acoustic and optic modes is observed. Partial time correlation functions of longitudinal mass currents were calculated separately for the ions and the water molecules. The wavevector dependence of excitation energies of the corresponding partial LA modes indicates the coexistence of a relatively stiff subsystem made of cations and anions, and a softer subsystem made of water molecules. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4751548]
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The method of steepest descent is used to study the integral kernel of a family of normal random matrix ensembles with eigenvalue distribution P-N (z(1), ... , z(N)) = Z(N)(-1)e(-N)Sigma(N)(i=1) V-alpha(z(i)) Pi(1 <= i<j <= N) vertical bar z(i) - z(j)vertical bar(2), where V-alpha(z) = vertical bar z vertical bar(alpha), z epsilon C and alpha epsilon inverted left perpendicular0, infinity inverted right perpendicular. Asymptotic formulas with error estimate on sectors are obtained. A corollary of these expansions is a scaling limit for the n-point function in terms of the integral kernel for the classical Segal-Bargmann space. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.3688293]
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The general combining ability (GCA), specific combining ability (SCA), and heterosis were studied in a complete diallel cross among fresh market tomato breeding lines with reciprocal excluded. Fifteen genotypes (five parents and ten hybrids) were tested using a randomized complete block design, with three replications, and the experiments were conducted in Itatiba, São Paulo state, Brazil, in 2005/06. The yield components evaluated were fruit yield per plant (FP), fruit number per plant (FN), average fruit weight (FW); cluster number per plant (CN); fruit number per cluster (FC), fruit wall thickness (FT) and number of locules per fruit (NL). Fruit quality components evaluated were total soluble solids (SS); total titratable acidity (TA); SS/TA ratio, fruit length (FL); fruit width (WI); length to width ratio (FL/WI). The data for each trait was first subjected to analysis of variance. Griffing's method 2, model 1 was employed to estimate the general (GCA) and specific (SCA) combining abilities. Parental and hybrid data for each trait were used to estimate of mid-parent heterosis. For plant fruit yield, IAC-2 was the best parental line with the highest GCA followed by IAC-4 and IAC-1 lines. The hybrids IAC-1 x IAC-2, IAC-1 x IAC-4 and IAC-2 x IAC-4 showed the highest effects of SCA. High heterotic responses were found for fruit yield and plant fruit number with values up to 49.72% and 47.19%, respectively. The best hybrids for fruit yield and plant fruit number were IAC-1 x IAC-2, IAC-1 x IAC-4 and IAC-2 x IAC-5, for fruit yield and plant fruit number, the main yield components.
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Este trabalho aborda o problema de previsão para séries de vazões médias mensais, no qual denomina-se de horizonte de previsão (h), o intervalo de tempo que separa a última observação usada no ajuste do modelo de previsão e o valor futuro a ser previsto. A análise do erro de previsão é feita em função deste horizonte de previsão. Estas séries possuem um comportamento periódico na média, na variância e na função de autocorrelação. Portanto, considera-se a abordagem amplamente usada para a modelagem destas séries que consiste inicialmente em remover a periodicidade na média e na variância das séries de vazões e em seguida calcular uma série padronizada para a qual são ajustados modelos estocásticos. Neste estudo considera-se para a série padronizada os modelos autorregressivos periódicos PAR (p m). As ordens p m dos modelos ajustados para cada mês são determinadas usando os seguintes critérios: a análise clássica da função de autocorrelação parcial periódica (FACPPe); usando-se o Bayesian Information Criterion (BIC) proposto em (MecLeod, 1994); e com a análise da FACPPe proposta em (Stedinger, 2001). Os erros de previsão são calculados, na escala original da série de vazão, em função dos parâmetros dos modelos ajustados e avaliados para horizontes de previsão h variando de 1 a 12 meses. Estes erros são comparados com as estimativas das variâncias das vazões para o mês que está sendo previsto. Como resultado tem-se uma avaliação da capacidade de previsão, em meses, dos modelos ajustados para cada mês.