930 resultados para Method of linear transformations


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Na unfolding method of linear intercept distributions and secction área distribution was implemented for structures with spherical grains. Although the unfolding routine depends on the grain shape, structures with spheroidal grains can also be treated by this routine. Grains of non-spheroidal shape can be treated only as approximation. A software was developed with two parts. The first part calculates the probability matrix. The second part uses this matrix and minimizes the chi-square. The results are presented with any number of size classes as required. The probability matrix was determined by means of the linear intercept and section area distributions created by computer simulation. Using curve fittings the probability matrix for spheres of any sizes could be determined. Two kinds of tests were carried out to prove the efficiency of the Technique. The theoretical tests represent ideal cases. The software was able to exactly find the proposed grain size distribution. In the second test, a structure was simulated in computer and images of its slices were used to produce the corresponding linear intercept the section area distributions. These distributions were then unfolded. This test simulates better reality. The results show deviations from the real size distribution. This deviations are caused by statistic fluctuation. The unfolding of the linear intercept distribution works perfectly, but the unfolding of section area distribution does not work due to a failure in the chi-square minimization. The minimization method uses a matrix inversion routine. The matrix generated by this procedure cannot be inverted. Other minimization method must be used

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O objetivo deste trabalho foi estimar os ganhos genéticos de um teste de progênies de seringueira para a produção de borracha seca e, com base no maior tamanho efetivo populacional e maior ganho genético, obter os melhores indivíduos. Foram utilizadas 30 progênies de meios-irmãos, provenientes de sementes de polinização mista - alogamia e autogamia - de testes clonais no Estado de São Paulo. Utilizou-se o delineamento experimental de blocos ao acaso, com 30 tratamentos (progênies), 3 repetições e parcelas lineares de 10 plantas, em um espaçamento de 3x3 m, o que totalizou 900 plantas úteis. Aos três anos, o perímetro, a 50 cm do solo (PA50), e a produção de borracha seca (PBS) foram avaliadas por meio do teste precoce de produção Hamaker Morris-Mann (HMM). As variáveis foram analisadas pelo método de modelo linear misto, via procedimento REML/BLUP, em progênies com sistema reprodutivo misto e taxa de autofecundação de 22%. A identificação dos 20 melhores indivíduos quanto à PBS e ao PA50 proporcionou ganho genético de 67,96 e 16,48%, respectivamente, e um coeficiente de endogamia de aproximadamente 2,82%. O teste de progênies proporciona produção de sementes com melhor valor genético, grande variabilidade e baixa endogamia

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Pós-graduação em Educação Matemática - IGCE

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O estudo da perda de propagação, nas cidades da região amazônica, envolve ambiente caracterizado pelo clima tropical e, suburbano densamente arborizado. Levando consideração à importância da faixa ISM 5,8 GHz, esta dissertação apresenta um modelo propagação para a faixa de frequência em questão, agregando as características da atenuação experimentada pela onda de rádio quando se propaga em ambientes de cidades típicas região amazônica. Para tanto, medidas de potência recebida foram coletadas em 335 clientes fixos, distribuídos em 12 cidades na região norte do Brasil, sendo estes atendidos pelo programa de inclusão digital do estado do Pará, Navega Pará. Também foram realizadas medidas com mobilidade no campus da Universidade Federal do Pará (UFPA). Apresenta ainda o desempenho do modelo proposto sobre outros modelos (Modelo SUI e COST231-Hata) descritos na literatura, para redes sem fio fixas e com mobilidade. As métricas desempenho utilizadas foram o erro RMS e o desvio padrão com relação aos dados medidos. O ajuste dos parâmetros do modelo proposto é realizado através do método de mínimos quadrados lineares, aplicado em duas etapas para diminuir a incerteza sobre os parâmetros ajustados. O modelo proposto alcançou um erro RMS de 3,8 dB e desvio padrão de 2,3 dB, superando os demais modelos que obtiveram erros RMS acima de 10 dB e desvios padrão acima de 5 dB. Os resultados obtidos mostram a sua eficiência sobre outros modelos para predição de perdas na faixa de 5,8 GHz em sistemas fixos e móveis.

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Foram realizadas determinações físico-químicas na raiz de mandiocaba, sendo estas: umidade, fibras, proteínas, cinzas, lipídios totais, açúcares redutores e totais; o caldo foi caracterizado através das análises de pH, sólidos solúveis totais, glicose e acidez titulável. Após o conhecimento dos constituintes físico-químicos da matéria-prima, o caldo de mandioca doce foi extraído e fermentado utilizando a levedura Saccharomycescerevisiae PE-2. Foram realizados 15 ensaios que seguiam as condições determinadas através do planejamento experimental de Box-Behnken, com 3 variáveis independentes: temperatura (ºC) (X1), pH (X2), e concentração de inóculo (g/L) (X3); os limites dos níveis de trabalho foram determinados através de dados encontrados na literatura; a análise estatística foi realizada com p>0,05. Através da análise de variância foi proposto um modelo polinomial de segunda ordem para a resposta teor alcoólico (ºGl), e com a utilização da metodologia de superfície de resposta à condição ótima para o desenvolvimento do processo fermentativo do caldo de mandioca doce sem adição de nutrientes e em sua concentração de substrato original (6,46 g/L), a: temperatura de 28ºC, pH de 4,88, e concentração de inóculo de 10 g/L. Nestas condições foi realizado um ensaio, cujo objetivo foi o de levantar as curvas de crescimento celular (levedura), produção de CO2, consumo de açúcares redutores e produção de etanol, para melhor compreensão do processo de fermentação do caldo de mandioca doce. Através da curva de crescimento celular foi determinada a duração da fase exponencial, utilizando o método de regressão linear; neste estudo esta etapa ocorreu em diferentes intervalos de tempo. O valor de µm encontrado foi de 0,05 h-1.

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Aquesta nota mostra la tendència poblacional de la garsa (Pica pica) al llarg del kilòmetre 1 (des de la línea de costa, riu amunt) del paisatge protegit de la Desembocadura del riu Millars (Castelló), per al període comprés de 1994-2009 (16 anys). Els resultats se centren en censos realitzats a la zona mitjançant el mètode del transecte lineal duts a terme 3 o 4 vegades al mes. L’espècie se censa per primera vegada l’any 1997 i des l’aleshores mostra una tendència a l’alça sobretot a partir de 2003 i molt especialment en els dos últims (2008-2009). S’ha estabilitzat una abundància mitjana de 8,3 aus/km. Pel que fa a les correlacions amb la meteorologia, en els anys més freds presenta menor abundància que en els càlids. Els hiverns càlids podrien permetre major supervivència i, a més, major disponibilitat de recursos amb els quals assegurar un bon nombre de polls. L’espècie troba en la zona suficients recursos tròfics per sobreviure i un lloc excel·lent on lliurar-se de la pressió cinegètica.

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Na unfolding method of linear intercept distributions and secction área distribution was implemented for structures with spherical grains. Although the unfolding routine depends on the grain shape, structures with spheroidal grains can also be treated by this routine. Grains of non-spheroidal shape can be treated only as approximation. A software was developed with two parts. The first part calculates the probability matrix. The second part uses this matrix and minimizes the chi-square. The results are presented with any number of size classes as required. The probability matrix was determined by means of the linear intercept and section area distributions created by computer simulation. Using curve fittings the probability matrix for spheres of any sizes could be determined. Two kinds of tests were carried out to prove the efficiency of the Technique. The theoretical tests represent ideal cases. The software was able to exactly find the proposed grain size distribution. In the second test, a structure was simulated in computer and images of its slices were used to produce the corresponding linear intercept the section area distributions. These distributions were then unfolded. This test simulates better reality. The results show deviations from the real size distribution. This deviations are caused by statistic fluctuation. The unfolding of the linear intercept distribution works perfectly, but the unfolding of section area distribution does not work due to a failure in the chi-square minimization. The minimization method uses a matrix inversion routine. The matrix generated by this procedure cannot be inverted. Other minimization method must be used

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The J(1)...J(3) is a recent optical method for linear readout of dynamic phase modulation index in homodyne interferometers. In this work, the J(1)... J(3) method is applied to measure voltage in an optical voltage sensor. Based on the classical J(1)...J(4) method, the J(1)... J(3) technique shows to be more stable to phase drift and simpler for implementation than the original one. The sensor dynamic range is enhanced. The agreement between theoretical and experimental results, based on 1/f noise, is demonstrated.

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This work presents, with the aid of the natural approach, an extension of the force density method for the initial shape finding of cable and membrane structures, which leads to the solution of a system of linear equations. This method, here called the natural force density method, preserves the linearity which characterizes the original force density method. At the same time, it overcomes the difficulties that the original procedure presents to cope with irregular triangular finite element meshes. Furthermore, if this method is applied iteratively in the lines prescribed herewith, it leads to a viable initial configuration with a uniform, isotropic plane Cauchy stress state. This means that a minimal surface for the membrane can be achieved through a succession of equilibrated configurations. Several numerical examples illustrate the simplicity and robustness of the method. (C) 2008 Elsevier B.V. All rights reserved.

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The effect of different precracking methods on the results of linear elastic K(Ic) fracture toughness testing with medium-density polyethylene (MDPE) was investigated. Cryogenic conditions were imposed in order to obtain valid K(Ic) values from specimens of suitable size. Most conservative K(Ic) values were obtained by slow pressing a fresh razor blade at the notch root of the specimen. Due to the low deformation level imposed on the crack tip region, the slow pressing razor blade technique also produced less scatter in fracture toughness results. It has been shown that the slow stable crack growth preceding catastrophic brittle failure during K(Ic) tests in MOPE under cryogenic conditions should not be disregarded as it has relevant physical meaning and may affect the fracture toughness results. (C) 2010 Elsevier Ltd. All rights reserved.

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Imatinib (IMAT) is a tyrosine kinase inhibitor that has been used for the treatment of chronic myeloid leukemia (CML). Despite the efficacy of IMAT therapy, some cases of treatment resistance have been described in CML. Developing a plasma method is important since there are several studies that provided a higher correlation between IMAT plasma concentration and response to treatment. Therefore, in this investigation we validated a method by CE as an alternative, new, simple and fast electrophoretic method for IMAT determination in human plasma. The analysis was performed using a fused silica capillary (50 mm id x 46.5 cm total length, 38.0 cm effective length); 50 mmol/L sodium phosphate buffer, pH 2.5, as BGE; hydrodynamic injection time of 20 s (50 mbar); voltage of 30 kV; capillary temperature of 35 degrees C and detection at 200 nm. Plasma samples pre-treatment involved liquid-liquid extraction with methyl-tert-butyl ether as the extracting solvent. The method was linear from 0.125 to 5.00 mg/mL. The LOQ was 0.125 mg/mL. Mean absolute recovery of IMAT was 67%. The method showed to be precise and accurate with RSD and relative error values lower than 15%. Furthermore, the application of the method was performed in the analysis of plasma samples from CML patients undergoing treatment with IMAT.

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Background: We report the validation of a method for the determination of acetaldehyde, acetone, methanol, and ethanol in biological fluids using manual headspace sample introduction and an acetonitrile internal standard. Method: This method uses a capillary column (I = 30 m, I.D. = 0.25 mm, dF = 0.25 mu m) installed in a gas chromatography-flame ionization detector (GC-FID) apparatus with a run time of 7.5 minutes. Results: Analysis of the retention times and the resolution of the analyte peaks demonstrated excellent separation without widening of the peaks. Precision and accuracy were good (interassay precision < 15% and recovery between 85% and 115%) in both blood and urine. Conclusion: The method was linear (r > 0.09) over the analytical measurement range (AMR) of each analyte.

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Dissertation to obtain the Master Degree in Biotechnology

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Let V be an infinite-dimensional vector space and for every infinite cardinal n such that n≤dimV, let AE(V,n) denote the semigroup of all linear transformations of V whose defect is less than n. In 2009, Mendes-Gonçalves and Sullivan studied the ideal structure of AE(V,n). Here, we consider a similarly-defined semigroup AE(X,q) of transformations defined on an infinite set X. Quite surprisingly, the results obtained for sets differ substantially from the results obtained in the linear setting.

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Many multivariate methods that are apparently distinct can be linked by introducing oneor more parameters in their definition. Methods that can be linked in this way arecorrespondence analysis, unweighted or weighted logratio analysis (the latter alsoknown as "spectral mapping"), nonsymmetric correspondence analysis, principalcomponent analysis (with and without logarithmic transformation of the data) andmultidimensional scaling. In this presentation I will show how several of thesemethods, which are frequently used in compositional data analysis, may be linkedthrough parametrizations such as power transformations, linear transformations andconvex linear combinations. Since the methods of interest here all lead to visual mapsof data, a "movie" can be made where where the linking parameter is allowed to vary insmall steps: the results are recalculated "frame by frame" and one can see the smoothchange from one method to another. Several of these "movies" will be shown, giving adeeper insight into the similarities and differences between these methods