180 resultados para orthogonal Gram polynomials


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Classical procedures for model updating in non-linear mechanical systems based on vibration data can fail because the common linear metrics are not sensitive for non-linear behavior caused by gaps, backlash, bolts, joints, materials, etc. Several strategies were proposed in the literature in order to allow a correct representative model of non-linear structures. The present paper evaluates the performance of two approaches based on different objective functions. The first one is a time domain methodology based on the proper orthogonal decomposition constructed from the output time histories. The second approach uses objective functions with multiples convolutions described by the first and second order discrete-time Volterra kernels. In order to discuss the results, a benchmark of a clamped-clamped beam with an pre-applied static load is simulated and updated using proper orthogonal decomposition and Volterra Series. The comparisons and discussions of the results show the practical applicability and drawbacks of both approaches.

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No Brasil, 90% de pacientes com insuficiência renal crônica ou aguda dependem dos procedimentos de hemodiálise para remover produtos de degradação metabólica, excesso de água e de sais minerais do organismo, a fim de restaurar o equilíbrio ácido-base e eletrolítico. Entretanto, o processo de osmose reversa, que visa remover todos os íons da água, também remove o cloro, que exerce efeito bacteriostático sob diversas bactérias autóctones, que passam a se multiplicar na água. Entre os principais grupos dessas bactérias, estão os bastonetes Gram negativos não fermentadores (BGN) e os mais frequentemente associados a bacteremias, em pacientes de hemodiálise são Pseudomonas aeruginosa, Stenotrophomonas maltophilia e Burkholderia cepacia. Essas bactérias podem produzir biofilmes, o que torna sua eliminação do encanamento quase impossível. Assim, o objetivo do trabalho foi a análise de água e do dialisato, da Unidade de Hemodiálise de um Hospital Universitário, na pesquisa dos três BGNs citados. Também foram utilizadas 42 cepas previamente isoladas do mesmo local. Entre as 67 amostras de água, foram isoladas 8 cepas de Pseudomonas aeruginosa e as 50 cepas foram submetidas à pesquisa do gene rpoS, um dos responsáveis pela produção de biofilme. Esse gene foi observado em 20 (40%) cepas, sendo 16 (80%) P. aeruginosa, seguida por 3 (15%) cepas de S. maltophilia e 1 (5%) de B. cepacia. Essas cepas foram submetidas à produção de biofilme a 35ºC (temperatura ótima de crescimento) e a 20ºC (temperatura média da água no encanamento da Unidade de Hemodiálise), em aço inoxidável (material de muitos instrumentos cirúrgicos), PVC (matéria prima da tubulação) e plástico de poliestireno (capacidade de produção de biofilmes em diferentes materiais). Em poliestireno, somente 1 (5%) cepa de P. aeruginosa produziu biofilme a 35ºC e a 20ºC, 2 (10%) cepas foram... (Resumo completo, clicar acesso eletrônico abaixo)

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In this paper, we present a decoding principle for Goppa codes constructed by generalized polynomials, which is based on modified Berlekamp-Massey algorithm. This algorithm corrects all errors up to the Hamming weight $t\leq 2r$, i.e., whose minimum Hamming distance is $2^{2}r+1$.

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Pós-graduação em Engenharia Mecânica - FEIS

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Bacterial quorum sensing (QS) is a density dependent communication system that regulates the expression of certain genes including production of virulence factors in many pathogens. Bioactive plant extract/compounds inhibiting QS regulated gene expression may be a potential candidate as antipathogenic drug. In this study anti-QS activity of peppermint (Menthe piperita) oil was first tested using the Chromobacterium violaceum CVO26 biosensor. Further, the findings of the present investigation revealed that peppermint oil (PMO) at sub-Minimum Inhibitory Concentrations (sub-MICs) strongly interfered with acyl homoserine lactone (AHL) regulated virulence factors and biofilm formation in Pseudomonas aeruginosa and Aeromonas hydrophila. The result of molecular docking analysis attributed the QS inhibitory activity exhibited by PMO to menthol. Assessment of ability of menthol to interfere with QS systems of various Gram-negative pathogens comprising diverse AHL molecules revealed that it reduced the AHL dependent production of violacein, virulence factors, and biofilm formation indicating broad-spectrum anti-QS activity. Using two Escherichia colt biosensors, MG4/pKDT17 and pEAL08-2, we also confirmed that menthol inhibited both the las and pqs QS systems. Further, findings of the in vivo studies with menthol on nematode model Caenorhabditis elegans showed significantly enhanced survival of the nematode. Our data identified menthol as a novel broad spectrum QS inhibitor.

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Function approximation is a very important task in environments where the computation has to be based on extracting information from data samples in real world processes. So, the development of new mathematical model is a very important activity to guarantee the evolution of the function approximation area. In this sense, we will present the Polynomials Powers of Sigmoid (PPS) as a linear neural network. In this paper, we will introduce one series of practical results for the Polynomials Powers of Sigmoid, where we will show some advantages of the use of the powers of sigmiod functions in relationship the traditional MLP-Backpropagation and Polynomials in functions approximation problems.

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Weight records of Brazilian Nelore cattle, from birth to 630 d of age, recorded every 3 mo, were analyzed using random regression models. Independent variables were Legendre polynomials of age at recording. The model of analysis included contemporary groups as fixed effects and age of dam as a linear and quadratic covariable. Mean trends were modeled through a cubic regression on orthogonal polynomials of age. Up to four sets of random regression coefficients were fitted for animals' direct and maternal, additive genetic, and permanent environmental effects. Changes in measurement error variances with age were modeled through a variance function. Orders of polynomial fit from three to six were considered, resulting in up to 77 parameters to be estimated. Models fitting random regressions modeled the pattern of variances in the data adequately, with estimates similar to those from corresponding univariate analysis. Direct heritability estimates decreased after birth and tended to be lowest at ages at which maternal effect estimates tended to be highest. Maternal heritability estimates increased after birth to a peak around 110 to 120 d of age and decreased thereafter. Additive genetic direct correlation estimates between weights at standard ages (birth, weaning, yearling, and final weight) were moderate to high and maternal genetic and environmental correlations were consistently high.

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Pós-graduação em Matematica Aplicada e Computacional - FCT

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