999 resultados para Razão de variáveis normais
Resumo:
The catalytic combustion of methane on alumina supported palladium catalysts was studied. It has been reported that the activity of the catalyst increases with its time on line, despite of an increase of the palladium particle size. However, different preparation, pretreatment and testing conditions can be the reason for the observed different results. An experimental design, which allows to verify the influence of several parameters at the same time with a good statistical quality, was used. A Plackett-Burman design was selected for the screening of the variables which have an effect on the increase of the catalyst activity.
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Genetic algorithm was used for variable selection in simultaneous determination of mixtures of glucose, maltose and fructose by mid infrared spectroscopy. Different models, using partial least squares (PLS) and multiple linear regression (MLR) with and without data pre-processing, were used. Based on the results obtained, it was verified that a simpler model (multiple linear regression with variable selection by genetic algorithm) produces results comparable to more complex methods (partial least squares). The relative errors obtained for the best model was around 3% for the sugar determination, which is acceptable for this kind of determination.
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This paper describes an experimental design technique, known as variables search, developed to expose the critical variables and screen out the irrelevant ones. It is easy to learn and use and clearly dissociates the main and interactions effects from each other. An example of air separation process by pressure swing adsorption was used to demonstrate how the variables search technique works. The phases of identification of the critical variables is shown, step by step,.
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The process of building mathematical models in quantitative structure-activity relationship (QSAR) studies is generally limited by the size of the dataset used to select variables from. For huge datasets, the task of selecting a given number of variables that produces the best linear model can be enormous, if not unfeasible. In this case, some methods can be used to separate good parameter combinations from the bad ones. In this paper three methodologies are analyzed: systematic search, genetic algorithm and chemometric methods. These methods have been exposed and discussed through practical examples.
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A new version of the normal coordinate analysis package NCT is presented. The upgrade was mainly devised to enable the NCT package to manipulate easily the Hessian matrix evaluated by quantum chemical calculations. Program codes were almost wholly rewritten to be more efficient with GNU Fortran77, or g77, and compiled under FreeBSD and MS-DOS with the DJGPP implementation. Three typical usages of the program package are presented by giving the related input and output files. Functionality of the programs was carefully and satisfactorily checked for some sample calculations.
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The present study evaluated the influence of nitrogen, phosphorus and ºBrix on the production of MSCT through a factorial design methodology and analysis of response surface. The objective was to propose a statistically significant probabilistic model for the alcoholic fermentation. In order to obtain less MSCT, the medium under fermentation needs to present low sugar concentration. It was observed that phosphorus and nitrogen, even with no significant individual effects, presented interactions with each other decreasing the production of MSCT, which improves alcohol quality.
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A simple method to obtain molecular Cartesian coordinates as a function of vibrational normal modes is presented in this work. The method does not require the definition of special matrices, like the F and G of Wilson, neither of group theory. The Eckart's conditions together with the diagonalization of kinetic and potential energy are the only required expressions. This makes the present approach appropriate to be used as a preliminary study for more advanced concepts concerning vibrational analysis. Examples are given for diatomic and triatomic molecules.
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The main analytical variables of a modified Folin-Ciocalteu method were studied by UV-Vis and gradient HPLC-PDA methods, using purified (PC) and technical grade (TGC) casein. Rutin and an aqueous extract of Psidium guajava L. leaves were used as models. The best results were ascribed to TGC. Certainly PC bonds the polyphenols of the P. guajava extract better than TGC, but TGC afforded better precision. A lack of specificity occurred when rutin was analyzed together with the P guajava extract. Additional analyses performed with the flavonoid fraction of P. guajava extract by HPLC-PDA had confirmed that casein was able to bind catechin, gallic acid and P. guajava flavonoids in a non-specific way.
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The copper and cadmium complexation properties in natural sediment suspensions of reservoirs of the Tietê River were studied using the solid membrane copper and cadmium ion-selective electrodes. The complexation and the average conditional stability constants were determined under equilibrium conditions at pH=6.00 ± 0.05 in a medium of 1.0 mol L-1 sodium nitrate, using the Scatchard method. The copper and cadmium electrodes presented Nernstian behavior from 1x10-6 to 1x10-3 mol L-1 of total metal concentration. Scatchard graphs suggest two classes of binding sites for both metals. A multivariate study was done to correlate the reservoirs and the variables: complexation properties, size, total organic carbon, volatile acid sulfide, E II and pH.
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Ozonation tests with and without prior filtration by means of a 50 micron mesh cartridge filter were conducted with primary sanitary effluents. Filtration led to increased inactivation efficiencies with regard to total and thermotolerant coliforms but it did not seem to influence heterotrophic plate count (HPC) bacteria inactivation efficiencies significantly. Application of the Chick-Watson model to experimental data obtained in the situation of constant inactivation showed that the ozone dosage was more important to bacterial inactivation than the contact time with regard to the cases of thermotolerant coliform inactivation in filtered samples and HPC bacteria and total coliform inactivation in non-filtered samples.
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The objective of this work is to demonstrate the efficient utilization of the Principal Components Analysis (PCA) as a method to pre-process the original multivariate data, that is rewrite in a new matrix with principal components sorted by it's accumulated variance. The Artificial Neural Network (ANN) with backpropagation algorithm is trained, using this pre-processed data set derived from the PCA method, representing 90.02% of accumulated variance of the original data, as input. The training goal is modeling Dissolved Oxygen using information of other physical and chemical parameters. The water samples used in the experiments are gathered from the Paraíba do Sul River in São Paulo State, Brazil. The smallest Mean Square Errors (MSE) is used to compare the results of the different architectures and choose the best. The utilization of this method allowed the reduction of more than 20% of the input data, which contributed directly for the shorting time and computational effort in the ANN training.
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Este trabalho teve como objetivo inicial selecionar uma estirpe fraca do Papaya ringspot virus - type W (PRSV-W) de bolhas de folhas de melancia (Citrullus lanatus) com mosaico. A infetividade dessa estirpe, PRSV-W-3, em plantas de melancia foi comparada com a das estirpes fracas PRSV-W-1 e PRSV-W-2, previamente selecionadas de bolhas de folhas de abobrinha de moita (Cucurbita pepo) cv. Caserta com mosaico. Além do efeito da origem da estirpe fraca na infetividade de plantas de melancia, avaliaram-se, ainda, os efeitos da concentração do inóculo, da espécie da planta fonte do inóculo e da idade da planta de melancia inoculada. Como controle, foi utilizada uma estirpe severa do vírus obtida de abobrinha de moita (PRSV-W-C). A avaliação do efeito da concentração e da espécie da planta fonte do inóculo foi feita com extratos de quatro, oito, 12 e 16 discos de folhas de abobrinha de moita e de melancia, infetadas separadamente com as estirpes fracas e severa, e diluídos em 2 ml de tampão fosfato. O efeito da idade da planta-teste de melancia foi estudado comparando-se plantas inoculadas em três estádios de desenvolvimento, com inóculos das estirpes do PRSV-W extraídos de 12 discos foliares/2 ml de tampão. Em todos os testes de infetividade, independente da concentração do inóculo, da planta fonte do inóculo e do estádio de desenvolvimento da planta-teste, a estirpe fraca PRSV-W-3 apresentou taxas de infetividade semelhantes as das estirpes PRSV-W-1 e PRSV-W-2, chegando a 100% em alguns casos. A infetividade da estirpe severa PRSV-W-C foi de 100%. A infetividade das três estirpes fracas está mais diretamente associada à intensidade de fricção das folhas no momento da inoculação do que às outras variáveis estudadas.
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Com base em dados de infecção natural avaliou-se a incidência do mofo-cinzento, causado por Botrytis cinerea, em 14 clones de Eucalyptus spp. em relação às condições climáticas predominantes em um viveiro clonal localizado em Belo Oriente, Minas Gerais. A temperatura máxima, mínima e média, precipitação pluviométrica e umidade relativa do ar foram coletadas entre 1991 e 2004. A incidência da doença foi avaliada mensalmente em 2004 em todas as fases de produção de mudas clonais de eucalipto. A presença do patógeno foi avaliada na água coletada do efluente de fertirrigação. A incidência do mofo-cinzento correlacionou-se melhor e negativamente com a temperatura máxima. Os resultados indicaram que a temperatura máxima é a variável a ser monitorada para fins de previsão da doença, a qual apresenta alto risco de incidência quando a temperatura máxima registrada for inferior a 27 ºC. Dentre os 14 clones propagados em 2004, o clone 957 (híbrido de Eucalyptus urophylla) apresentou menor incidência da doença, sob condições de infecção natural. Observou-se que o fungo encontra-se comumente associado a mudas de eucalipto e que o desenvolvimento da epidemia é regulado por temperaturas amenas, uma vez que, condições de alta umidade relativa e presença de água livre no hospedeiro ocorrem constantemente, em virtude das freqüentes irrigações requeridas para produção de mudas. Constatou-se que a água reutilizada, coletada no efluente de irrigação, contém inóculo do patógeno.
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Foram avaliados, a partir de um delineamento estatístico de um conjunto de ensaios experimentais, os efeitos (i) do tempo; (ii) da velocidade de rotação; (iii) da razão etanol:triglicerídeos; (iv) do tipo e (v) da quantidade do catalisador e (vi) da temperatura da reação de transesterificação de triglicerídeos do óleo de milho com etanol. A magnitude do efeito devido a cada fator, individualmente, afetou o rendimento, em biodiesel, da reação, na seguinte ordem decrescente de efeito (desconsiderando-se o sinal algébrico): quantidade de catalisador > razão molar > tipo de catalisador > velocidade de rotação > tempo > temperatura. Avaliaram-se, também, as interações estatísticas entre as variáveis e suas correlações com os fatores principais da reação.
Resumo:
O presente artigo procura analisar a noção de fé em Montaigne, confrontando-a com as idéias de razão e de crença, e também em sua relação com o lugar que é conferido à autoridade pelo autor dos Ensaios. Discute-se principalmente a interpretação bastante estabelecida de que o ceticismo de Montaigne reduziria a fé à esfera das crenças e dos costumes.