979 resultados para L-stable Functions


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Appendices: State library extension agencies by form or organization. State library agencies by states.

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Thesis (Ph.D.)--University of Washington, 2016-06

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AMS Subj. Classification: 11M41, 11M26, 11S40

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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

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Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

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Le syndrome de détresse respiratoire du nouveau-né (SDR) est l’une des pathologies les plus fréquentes dont souffrent les bébés prématurés. Le SDR est causé par un déficit dans la synthèse du surfactant pulmonaire en raison de l’immaturité du poumon lors d’une naissance prématurée. Plusieurs éléments régulent le développement pulmonaire notamment les stéroïdes sexuels et les corticostéroïdes. Le sexe est aussi un élément régulateur du développement pulmonaire. En effet, les garçons sont plus atteints que les filles par le SDR. Ce dimorphisme sexuel est attribué aux androgènes. Le traitement anténatal aux glucocorticoïdes est prescrit aux femmes qui sont à risque d’accoucher prématurément. En effet, les corticostéroïdes favorisent la maturation pulmonaire anténatale. Également, il a été démontré que les microARNs sont primordiaux pour le développement pulmonaire. Ceci nous a conduit à étudier l’impact des androgènes sur le profil d’expression des microARNs lors de la transition du stade canaliculaire au stade sacculaire (jour gestationnel (JG)17.0 au JG18.0), période qui coïncide avec la montée de la synthèse et de la sécrétion du surfactant chez la souris. Tout d’abord, nous avons étudié la stabilité des gènes de normalisation (snoRNAs) afin de quantifier les microARNs par qPCR. Cette analyse a été effectuée avec 3 logiciels différents et sur plusieurs stades du développement notamment de la période pseudoglandulaire jusqu’au stade alvéolaire chez les deux sexes. On a identifié les meilleures combinaisons de gènes de normalisation les plus stables pour chaque stade du développement étudié ainsi que pour la période couvrant tous les stades étudiés. Ensuite nous avons analysé à GD17.0 et GD18.0 le profil d’expression des microARNs chez des fœtus mâles dont les mères ont été traitées au flutamide (anti-androgènes pure). Les résultats ont montré que 43 microARNs matures sont modulés par les androgènes à GD17.0 et 35 microARNs à GD18.0. Pour certains microARNs, nous avons identifié des cibles potentielles qui sont inversement modulées par les androgènes par rapport aux microARNs. Ces cibles sont impliquées dans plusieurs processus biologiques tels que le métabolisme des lipides et la prolifération cellulaire ainsi que dans des fonctions moléculaires tels que la liaison des facteurs de transcription. Des expériences de validation ont été effectuées par qPCR. Nos résultats ont montré que les androgènes régulent des processus qui peuvent être impliqués dans la maturation pulmonaire via la régulation des microARNs. En plus de l’intérêt porté aux androgènes dans la maturation pulmonaire, nous avons analysé l’expression d’enzymes de synthèse des corticostéroïdes dans le poumon fœtal humain. L’expression de l’enzyme 21-hydroxylase a été étudiée par qPCR et par immunobuvardage. Également la localisation de l’ARNm de cette enzyme clé de la synthèse des glucocorticoïdes, a été effectuée par hybridation in situ. L’ARNm de CYP21A2 a été détecté par qPCR dans les 34 échantillons analysés et dont les âges variaient entre 17 et 40 semaines de grossesse. Aucune corrélation, avec l’âge gestationnel ou le sexe, n’a été observée. Des niveaux significatifs de la protéine 21-hydroxylase ont été détectés dans nos échantillons. Nous avons investigué l’expression d’autres enzymes impliquées dans la voie de synthèse des glucocorticoïdes notamment CYP11B1, CYP11B2 et CYP17A1. Les ARNm des gènes CYP11B1, CYP11B2 n’ont pas été détectés dans nos échantillons, contrairement à CYP17A1 dont l’ARNm a été détecté dans tous nos tissus fœtaux analysés. La protéine de la 17α-hydroxylase a été détectée à de faibles niveaux. Nos résultats d’hybridation in situ ont montré que l’expression de CYP21A2 est localisée presqu’exclusivement dans l’épithélium pulmonaire distal. Nos résultats suggèrent que les produits de la 21-hydroxylase agiront via une action intracrine sur l’épithélium distal en activant le récepteur des glucocorticoïdes (GR). L’activation du récepteur des minéralocorticoïdes (MR) ne semble pas dépendre de produits de la 21-hydroxylase en raison des quantités importantes d’aldostérone circulante.

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In this paper we show how to construct the Evans function for traveling wave solutions of integral neural field equations when the firing rate function is a Heaviside. This allows a discussion of wave stability and bifurcation as a function of system parameters, including the speed and strength of synaptic coupling and the speed of axonal signals. The theory is illustrated with the construction and stability analysis of front solutions to a scalar neural field model and a limiting case is shown to recover recent results of L. Zhang [On stability of traveling wave solutions in synaptically coupled neuronal networks, Differential and Integral Equations, 16, (2003), pp.513-536.]. Traveling fronts and pulses are considered in more general models possessing either a linear or piecewise constant recovery variable. We establish the stability of coexisting traveling fronts beyond a front bifurcation and consider parameter regimes that support two stable traveling fronts of different speed. Such fronts may be connected and depending on their relative speed the resulting region of activity can widen or contract. The conditions for the contracting case to lead to a pulse solution are established. The stability of pulses is obtained for a variety of examples, in each case confirming a previously conjectured stability result. Finally we show how this theory may be used to describe the dynamic instability of a standing pulse that arises in a model with slow recovery. Numerical simulations show that such an instability can lead to the shedding of a pair of traveling pulses.

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In order to determine the energy needed to artificially dry an agricultural product the latent heat of vaporization of moisture in the product, H, must be known. Generally, the expressions for H reported in the literature are of the form H = h(T)f(M), where h(T) is the latent heat of vaporization of free water, and f(M) is a function of the equilibrium moisture content, M, which is a simplification. In this article, a more general expression for the latent heat of vaporization, namely H = g(M,T), is used to determine H for cowpea, always-green variety. For this purpose, a computer program was developed which automatically fits about 500 functions, with one or two independent variables, imbedded in its library to experimental data. The program uses nonlinear regression, and classifies the best functions according to the least reduced chi-squared. A set of executed statistical tests shows that the generalized expression for H used in this work produces better results of H for cowpea than other equations found in literature.

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We use the Kharzeev-Levin-Nardi (KLN) model of the low x gluon distributions to fit recent HERA data on F(L) and F(2)(c)(F(2)(b)). Having checked that this model gives a good description of the data, we use it to predict F(L) and F(2)(c) to be measured in a future electron-ion collider. The results are similar to those obtained with the de Florian-Sassot and Eskola-Paukkunen-Salgado nuclear gluon distributions. The conclusion of this exercise is that the KLN model, simple as it is, may still be used as an auxiliary tool to make estimates for both heavy-ion and electron-ion collisions.

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Balance functions have been measured for charged-particle pairs, identified charged-pion pairs, and identified charged-kaon pairs in Au + Au, d + Au, and p + p collisions at root s(NN) = 200 GeV at the Relativistic Heavy Ion Collider using the STAR detector. These balance functions are presented in terms of relative pseudorapidity, Delta eta, relative rapidity, Delta y, relative azimuthal angle, Delta phi, and invariant relative momentum, q(inv). For charged-particle pairs, the width of the balance function in terms of Delta eta scales smoothly with the number of participating nucleons, while HIJING and UrQMD model calculations show no dependence on centrality or system size. For charged-particle and charged-pion pairs, the balance functions widths in terms of Delta eta and Delta y are narrower in central Au + Au collisions than in peripheral collisions. The width for central collisions is consistent with thermal blast-wave models where the balancing charges are highly correlated in coordinate space at breakup. This strong correlation might be explained by either delayed hadronization or limited diffusion during the reaction. Furthermore, the narrowing trend is consistent with the lower kinetic temperatures inherent to more central collisions. In contrast, the width of the balance function for charged-kaon pairs in terms of Delta y shows little centrality dependence, which may signal a different production mechanism for kaons. The widths of the balance functions for charged pions and kaons in terms of q(inv) narrow in central collisions compared to peripheral collisions, which may be driven by the change in the kinetic temperature.

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The problem of semialgebraic Lipschitz classification of quasihomogeneous polynomials on a Holder triangle is studied. For this problem, the ""moduli"" are described completely in certain combinatorial terms.

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The 30Si silicon isotope stable was used for assessing the accumulation and translocation of Si in rice and bean plants grown in labeled nutritive solution. The isotopic silicon composition in plant materials was determined by mass spectrometry (IRMS) using the method based on SiF4 formation. Considering the total-Si added into nutritive solutions, the quantity absorbed by plants was near to 51% for rice and 15% for bean plants. The accumulated amounts of Si per plant were about 150g in rice and 8.6g in bean. Approximately 70% of the total-Si accumulated was found in leaves. At presented experimental conditions, the results confirmed that once Si is accumulated in the old parts of rice and bean plant tissues it is not redistributed to new parts, even when Si is not supplied to plants from nutritive solution.

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We assess the performance of three unconditionally stable finite-difference time-domain (FDTD) methods for the modeling of doubly dispersive metamaterials: 1) locally one-dimensional FDTD; 2) locally one-dimensional FDTD with Strang splitting; and (3) alternating direction implicit FDTD. We use both double-negative media and zero-index media as benchmarks.

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The objective of the present study was to estimate milk yield genetic parameters applying random regression models and parametric correlation functions combined with a variance function to model animal permanent environmental effects. A total of 152,145 test-day milk yields from 7,317 first lactations of Holstein cows belonging to herds located in the southeastern region of Brazil were analyzed. Test-day milk yields were divided into 44 weekly classes of days in milk. Contemporary groups were defined by herd-test-day comprising a total of 2,539 classes. The model included direct additive genetic, permanent environmental, and residual random effects. The following fixed effects were considered: contemporary group, age of cow at calving (linear and quadratic regressions), and the population average lactation curve modeled by fourth-order orthogonal Legendre polynomial. Additive genetic effects were modeled by random regression on orthogonal Legendre polynomials of days in milk, whereas permanent environmental effects were estimated using a stationary or nonstationary parametric correlation function combined with a variance function of different orders. The structure of residual variances was modeled using a step function containing 6 variance classes. The genetic parameter estimates obtained with the model using a stationary correlation function associated with a variance function to model permanent environmental effects were similar to those obtained with models employing orthogonal Legendre polynomials for the same effect. A model using a sixth-order polynomial for additive effects and a stationary parametric correlation function associated with a seventh-order variance function to model permanent environmental effects would be sufficient for data fitting.

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Pothomorphe umbellata is a native plant widely employed in the Brazilian popular medicine. This plant has been shown to exert a potent antioxidant activity on the skin and to delay the onset and reduce the incidence of UVB-induced skin damage and photoaging. The aim of this work was to optimize the appearance, the centrifuge stability and the permeation of emulsions containing R umbellata (0. 1% 4-nerolidylchatecol). Experimental design was used to study ternary mixtures models with constraints and graphical representation by phase diagrams. The constraints reduce the possible experimental domain, and for this reason, this methodology offers the maximum information while requiring the minimum investment. The results showed that the appearance follows a linear model, and that the aqueous phase was the principal factor affecting the appearance; the centrifuge stability parameter followed a mathernatic quadratic model and the interactions between factors produced the most stable emulsions; skin permeation was improved by the oil phase, following a linear model generated by data analysis. We propose as optimized P. umbellata formulation: 68.4% aqueous phase, 26.6% oil phase and 5.0% of self-emulsifying phase. This formulation displayed an acceptable compromise between factors and responses investigated. (c) 2007 Elsevier B.V. All rights reserved.