127 resultados para Distorted probabilities
em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)
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Aims. We derive lists of proper-motions and kinematic membership probabilities for 49 open clusters and possible open clusters in the zone of the Bordeaux PM2000 proper motion catalogue (+ 11 degrees <= delta <= + 18 degrees). We test different parametrisations of the proper motion and position distribution functions and select the most successful one. In the light of those results, we analyse some objects individually. Methods. We differenciate between cluster and field member stars, and assign membership probabilities, by applying a new and fully automated method based on both parametrisations of the proper motion and position distribution functions, and genetic algorithm optimization heuristics associated with a derivative-based hill climbing algorithm for the likelihood optimization. Results. We present a catalogue comprising kinematic parameters and associated membership probability lists for 49 open clusters and possible open clusters in the Bordeaux PM2000 catalogue region. We note that this is the first determination of proper motions for five open clusters. We confirm the non-existence of two kinematic populations in the region of 15 previously suspected non-existent objects.
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The Jensen theorem is used to derive inequalities for semiclassical tunneling probabilities for systems involving several degrees of freedom. These Jensen inequalities are used to discuss several aspects of sub-barrier heavy-ion fusion reactions. The inequality hinges on general convexity properties of the tunneling coefficient calculated with the classical action in the classically forbidden region.
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We consider the one-dimensional asymmetric simple exclusion process (ASEP) in which particles jump to the right at rate p is an element of (1/2, 1.] and to the left at rate 1 - p, interacting by exclusion. In the initial state there is a finite region such that to the left of this region all sites are occupied and to the right of it all sites are empty. Under this initial state, the hydrodynamical limit of the process converges to the rarefaction fan of the associated Burgers equation. In particular suppose that the initial state has first-class particles to the left of the origin, second-class particles at sites 0 and I, and holes to the right of site I. We show that the probability that the two second-class particles eventually collide is (1 + p)/(3p), where a collision occurs when one of the particles attempts to jump over the other. This also corresponds to the probability that two ASEP processes. started from appropriate initial states and coupled using the so-called ""basic coupling,"" eventually reach the same state. We give various other results about the behaviour of second-class particles in the ASEP. In the totally asymmetric case (p = 1) we explain a further representation in terms of a multi-type particle system, and also use the collision result to derive the probability of coexistence of both clusters in a two-type version of the corner growth model.
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It is known that patients may cease participating in a longitudinal study and become lost to follow-up. The objective of this article is to present a Bayesian model to estimate the malaria transition probabilities considering individuals lost to follow-up. We consider a homogeneous population, and it is assumed that the considered period of time is small enough to avoid two or more transitions from one state of health to another. The proposed model is based on a Gibbs sampling algorithm that uses information of lost to follow-up at the end of the longitudinal study. To simulate the unknown number of individuals with positive and negative states of malaria at the end of the study and lost to follow-up, two latent variables were introduced in the model. We used a real data set and a simulated data to illustrate the application of the methodology. The proposed model showed a good fit to these data sets, and the algorithm did not show problems of convergence or lack of identifiability. We conclude that the proposed model is a good alternative to estimate probabilities of transitions from one state of health to the other in studies with low adherence to follow-up.
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In this work, Ba(Zr(0.25)Ti(0.75))O(3) ceramic was prepared by solid-state reaction. This material was characterized by x-ray diffraction and Fourier transform Raman spectroscopy. The temperature dependent dielectric properties were investigated in the frequency range from 1 kHz to 1 MHz. The dielectric measurements indicated a diffuse phase transition. The broadening of the dielectric permittivity in the frequency range as well as its shifting at higher temperatures indicated a relaxor-like behaviour for this material. The diffusivity and the relaxation strength were estimated using the modified Curie-Weiss law. The optical properties were analysed by ultraviolet-visible (UV-vis) absorption spectroscopy and photoluminescence (PL) measurements at room temperature. The UV-vis spectrum indicated that the Ba(Zr(0.25)Ti(0.75))O(3) ceramic has an optical band gap of 2.98 eV. A blue PL emission was observed for this compound when excited with 350 nm wavelength. The polarity as well as the PL property of this material was attributed to the presence of polar [TiO(6)] distorted clusters into a globally cubic matrix.
Resumo:
When modeling real-world decision-theoretic planning problems in the Markov Decision Process (MDP) framework, it is often impossible to obtain a completely accurate estimate of transition probabilities. For example, natural uncertainty arises in the transition specification due to elicitation of MOP transition models from an expert or estimation from data, or non-stationary transition distributions arising from insufficient state knowledge. In the interest of obtaining the most robust policy under transition uncertainty, the Markov Decision Process with Imprecise Transition Probabilities (MDP-IPs) has been introduced to model such scenarios. Unfortunately, while various solution algorithms exist for MDP-IPs, they often require external calls to optimization routines and thus can be extremely time-consuming in practice. To address this deficiency, we introduce the factored MDP-IP and propose efficient dynamic programming methods to exploit its structure. Noting that the key computational bottleneck in the solution of factored MDP-IPs is the need to repeatedly solve nonlinear constrained optimization problems, we show how to target approximation techniques to drastically reduce the computational overhead of the nonlinear solver while producing bounded, approximately optimal solutions. Our results show up to two orders of magnitude speedup in comparison to traditional ""flat"" dynamic programming approaches and up to an order of magnitude speedup over the extension of factored MDP approximate value iteration techniques to MDP-IPs while producing the lowest error of any approximation algorithm evaluated. (C) 2011 Elsevier B.V. All rights reserved.
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High-level CASSCF/MRCI calculations with a quintuple-zeta quality basis set are reported by characterizing for the first time a manifold of electronic states of the CAs radical yet to be investigated experimentally. Along with the potential energy curves and the associated spectroscopic constants, the dipole moment functions for selected electronic states as well as the transition dipole moment functions for the most relevant electronic transitions are also presented. Estimates of radiative transition probabilities and lifetimes complement this investigation, which also assesses the effect of spin-orbit interaction on the A (2)Pi state. Whenever pertinent, comparisons of similarities and differences with the isovalent CN and CP radicals are made.
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This study aimed at evaluating the thermal performance of a modular ceiling system for poultry houses. The reduced- and distorted-scale prototypes used ceiling modules made of reforested wood and were covered with recycled long-life package tiles. The following parameters were measured for 21 days: tile internal surface temperature (ST), globe temperature and humidity index (WBGT), and radiant heat load (RHL). Measurements were made at times of highest heat load (11:00 am, 13:00 pm, and 03:00 pm). Collected data were analyzed by "R" statistics software. Means were compared by multiple comparison test (Tukey) and linear regression was performed, both at 5% significance level. The results showed that the prototype with the ceiling was more efficient to reduce internal tile surface temperature; however, this was not sufficient to provide a comfortable environment for broilers during the growout. Therefore, other techniques to provide proper cooling are required in addition to the ceiling.
Resumo:
OBJETIVO: caracterizar a inserção de egressos do Curso de Fonoaudiologia da Universidade Estadual Paulista (UNESP) - Marília, em Programas de Pós-Graduação (PPG) Stricto Sensu brasileiros. MÉTODO: foram utilizadas listas de graduados e Curriculum Vitae do egresso e do orientador. RESULTADOS: dos 537 formados, 16,57% cursaram/estavam cursando PPG e destes, 98,88% em mestrado e 37,08% também em doutorado. Na grande área de conhecimento, 50% dos egressos de mestrado vincularam-se predominantemente a programas em Ciências da Saúde, 31,80% em Ciências Humanas e 13,64% em Linguística, Letras e Artes. No doutorado, 33, 33% em Ciências Humanas, 30,30% em Ciências da Saúde e em Linguística, Letras e Artes. Quanto à área de conhecimento, predominou a vinculação, no mestrado, de 30,68% em Fonoaudiologia, 28,41% em Educação, 13,64% em Linguística e 9,09% em Medicina I; e, no doutorado, de 33,33% em Educação, 30,30% em Linguística e 9,09% em Fonoaudiologia; 55,68% dissertações e 51,52% teses focalizaram a linguagem. A UNESP predominou com 39,77% no mestrado e 48,48% no doutorado. Predominou a vinculação a Programas com conceito 4 para 52,27% dos egressos do mestrado e 45,45% do doutorado. Quando constou a informação (55,68%), todos receberam fomento. O Teste de Razão de Verossimilhança não indicou diferenças significativas dos percentuais obtidos entre o mestrado e o doutorado. CONCLUSÃO: os resultados superaram os apresentados para o mesmo Estado, mostraram a característica interdisciplinar da Ciência Fonoaudiológica e o predomínio de temática em linguagem.
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We present a computer program developed for estimating penetrance rates in autosomal dominant diseases by means of family kinship and phenotype information contained within the pedigrees. The program also determines the exact 95% credibility interval for the penetrance estimate. Both executable (PenCalc for Windows) and web versions (PenCalcWeb) of the software are available. The web version enables further calculations, such as heterozygosity probabilities and assessment of offspring risks for all individuals in the pedigrees. Both programs can be accessed and down-loaded freely at the home-page address http://www.ib.usp.br/~otto/software.htm.
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The reactions of meso-1,2-bis(phenylsulfinyl)ethane (meso-bpse) with Ph2SnCl2, 2-phenyl-1,3-dithiane trans-1-trans-3-dioxide (pdtd) with n-Bu2SnCl2 and 1,2-cis-bis-(phenylsulfinyl)ethene (rac-,cis-cbpse) with Ph2SnCl2, in 1:1 molar ratio, yielded [{Ph2SnCl2(meso-bpse)}n], [{n-Bu2SnCl2(pdtd)}2] and [{Ph2SnCl2(rac,cis-cbpse)}x] (x = 2 or n), respectively. All adducts were studied by IR, Mössbauer and 119Sn NMR spectroscopic methods, elemental analysis and single crystal X-ray diffractometry. The X-ray crystal structure of [{Ph2SnCl2(meso-bpse)}n] revealed the occurrence of infinite chains in which the tin(IV) atoms appear in a distorted octahedral geometry with Cl atoms in cis and Ph groups in trans positions. The X-ray crystal structure of [{n-Bu2SnCl2(pdtd)}2] revealed discrete centrosymmetric dimeric species in which the tin(IV) atoms possess a distorted octahedral geometry with bridging disulfoxides in cis and n-butyl moieties in trans positions. The spectroscopic data indicated that the adduct containing the rac,cis-cbpse ligand can be dimeric or polymeric. The X-ray structural analysis of the free rac-,cis-cbpse sulfoxide revealed that the crystals belong to the C2/c space group.
Resumo:
A produção de desenhos em grupo e o método de Rorschach foram utilizados ao longo do tratamento de um paciente com esquizofrenia, acompanhado em Centro de Atenção Psicossocial. O referencial proposto para a compreensão do caso é o método fenômeno-estrutural que busca acessar o modo de ser e de vivenciar a doença que afeta o paciente, a partir do que ele revela nas imagens e na linguagem. Aos desenhos de cores acromáticas e conteúdos humanos deformados, o paciente insere cores, representantes da expressão afetiva, e figuras humanas integradas, denotando disponibilidade nas relações. O Rorschach indica contato mais adequado com a realidade, dado a diminuição da distorção da percepção da forma e de figuras fantasiosas. Após diminuição da sintomatologia persecutória e isolamento social, o paciente recebeu alta. O uso desses instrumentos tem contribuído na difícil tarefa diagnóstica e no acompanhamento da evolução de pacientes, nos cuidados interdisciplinares em saúde mental.
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FUNDAMENTO: As troponinas cardíacas são marcadores altamente sensíveis e específicos de lesão miocárdica. Esses marcadores foram detectados na insuficiência cardíaca (IC) e estão associadas com mau prognóstico. OBJETIVO: Avaliar a relação da troponina T (cTnT) e suas faixas de valores com o prognóstico na IC descompensada. MÉTODOS: Estudaram-se 70 pacientes com piora da IC crônica que necessitaram de hospitalização. Na admissão, o modelo de Cox foi utilizado para avaliar as variáveis capazes de predizer o desfecho composto por morte ou re-hospitalização em razão de piora da IC durante um ano. RESULTADOS: Durante o seguimento, ocorreram 44 mortes, 36 re-hospitalizações por IC e 56 desfechos compostos. Na análise multivariada, os preditores de eventos clínicos foram: cTnT (cTnT > 0,100 ng/ml; hazard ratio (HR) 3,95 intervalo de confiança (IC) 95%: 1,64-9,49, p = 0,002), diâmetro diastólico final do ventrículo esquerdo (DDVE >70 mm; HR 1,92, IC95%: 1,06-3,47, p = 0,031) e sódio sérico (Na <135 mEq/l; HR 1,79, IC95%: 1,02-3,15, p = 0,044). Para avaliar a relação entre a elevação da cTnT e o prognóstico na IC descompensada, os pacientes foram estratificados em três grupos: cTnT-baixo (cTnT < 0,020 ng/ml, n = 22), cTnT-intermediário (cTnT > 0,020 e < 0,100 ng/ml, n = 36) e cTnT-alto (cTnT > 0,100 ng/ml, n = 12). As probabilidades de sobrevida e sobrevida livre de eventos foram: 54,2%, 31,5%, 16,7% (p = 0,020), e 36,4%, 11,5%, 8,3% (p = 0,005), respectivamente. CONCLUSÃO: A elevação da cTnT está associada com mau prognóstico na IC descompensada, e o grau dessa elevação pode facilitar a estratificação de risco
Resumo:
Gene clustering is a useful exploratory technique to group together genes with similar expression levels under distinct cell cycle phases or distinct conditions. It helps the biologist to identify potentially meaningful relationships between genes. In this study, we propose a clustering method based on multivariate normal mixture models, where the number of clusters is predicted via sequential hypothesis tests: at each step, the method considers a mixture model of m components (m = 2 in the first step) and tests if in fact it should be m - 1. If the hypothesis is rejected, m is increased and a new test is carried out. The method continues (increasing m) until the hypothesis is accepted. The theoretical core of the method is the full Bayesian significance test, an intuitive Bayesian approach, which needs no model complexity penalization nor positive probabilities for sharp hypotheses. Numerical experiments were based on a cDNA microarray dataset consisting of expression levels of 205 genes belonging to four functional categories, for 10 distinct strains of Saccharomyces cerevisiae. To analyze the method's sensitivity to data dimension, we performed principal components analysis on the original dataset and predicted the number of classes using 2 to 10 principal components. Compared to Mclust (model-based clustering), our method shows more consistent results.
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A susceptible-infective-recovered (SIR) epidemiological model based on probabilistic cellular automaton (PCA) is employed for simulating the temporal evolution of the registered cases of chickenpox in Arizona, USA, between 1994 and 2004. At each time step, every individual is in one of the states S, I, or R. The parameters of this model are the probabilities of each individual (each cell forming the PCA lattice ) passing from a state to another state. Here, the values of these probabilities are identified by using a genetic algorithm. If nonrealistic values are allowed to the parameters, the predictions present better agreement with the historical series than if they are forced to present realistic values. A discussion about how the size of the PCA lattice affects the quality of the model predictions is presented. Copyright (C) 2009 L. H. A. Monteiro et al.