1000 resultados para Renda -- Distribució -- Models matemàtics
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This study aims to analyze the main effect of social programs and cash transfers on the labor supply of non-farm family members in poverty in rural areas of the Northeast. Among the specific objectives, we sought to investigate the effects of these programs and individual characteristics on the decision of participation and allocation of working hours of parents and children in non-agricultural activities. It was assumed, as a theoretical basis, the model of neoclassical labor supply as well as the principle that the decision of allocation of working hours, non-agricultural, is subject to the initial choice of the worker devote or not the non-agricultural employment . The hypothesis assumes that access to social programs and income transfer contributes to the dismay of rural workers, in poverty, in its decision to participate and offer hours of work in non-agricultural activities. To achieve this objective, we applied the models of Heckman (1979) and Double Hurdle, of Cragg (1971), consisting of associating the decision to participate in the labor market with the decision on the amount of hours allocated. The database used was the National Survey by Household Sampling (PNAD) of 2006. The results of the heads of households showed that transfers of income, although they may have some effect on labor supply rural nonfarm, the magnitude has to say that there may be some dependence on benefits. The estimates for the joint children of 10 to 15 years showed that the programs have negatively influenced participation in suggesting an increase in school participation, although for the allocation of working hours the results were not significant on the incidence of child labor
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Prosopis rubriflora and Prosopis ruscifolia are important species in the Chaquenian regions of Brazil. Because of the restriction and frequency of their physiognomy, they are excellent models for conservation genetics studies. The use of microsatellite markers (Simple Sequence Repeats, SSRs) has become increasingly important in recent years and has proven to be a powerful tool for both ecological and molecular studies. In this study, we present the development and characterization of 10 new markers for P. rubriflora and 13 new markers for P. ruscifolia. The genotyping was performed using 40 P. rubriflora samples and 48 P. ruscifolia samples from the Chaquenian remnants in Brazil. The polymorphism information content (PIC) of the P. rubriflora markers ranged from 0.073 to 0.791, and no null alleles or deviation from Hardy-Weinberg equilibrium (HW) were detected. The PIC values for the P. ruscifolia markers ranged from 0.289 to 0.883, but a departure from HW and null alleles were detected for certain loci; however, this departure may have resulted from anthropic activities, such as the presence of livestock, which is very common in the remnant areas. In this study, we describe novel SSR polymorphic markers that may be helpful in future genetic studies of P. rubriflora and P. ruscifolia.
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In acquired immunodeficiency syndrome (AIDS) studies it is quite common to observe viral load measurements collected irregularly over time. Moreover, these measurements can be subjected to some upper and/or lower detection limits depending on the quantification assays. A complication arises when these continuous repeated measures have a heavy-tailed behavior. For such data structures, we propose a robust structure for a censored linear model based on the multivariate Student's t-distribution. To compensate for the autocorrelation existing among irregularly observed measures, a damped exponential correlation structure is employed. An efficient expectation maximization type algorithm is developed for computing the maximum likelihood estimates, obtaining as a by-product the standard errors of the fixed effects and the log-likelihood function. The proposed algorithm uses closed-form expressions at the E-step that rely on formulas for the mean and variance of a truncated multivariate Student's t-distribution. The methodology is illustrated through an application to an Human Immunodeficiency Virus-AIDS (HIV-AIDS) study and several simulation studies.
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Often in biomedical research, we deal with continuous (clustered) proportion responses ranging between zero and one quantifying the disease status of the cluster units. Interestingly, the study population might also consist of relatively disease-free as well as highly diseased subjects, contributing to proportion values in the interval [0, 1]. Regression on a variety of parametric densities with support lying in (0, 1), such as beta regression, can assess important covariate effects. However, they are deemed inappropriate due to the presence of zeros and/or ones. To evade this, we introduce a class of general proportion density, and further augment the probabilities of zero and one to this general proportion density, controlling for the clustering. Our approach is Bayesian and presents a computationally convenient framework amenable to available freeware. Bayesian case-deletion influence diagnostics based on q-divergence measures are automatic from the Markov chain Monte Carlo output. The methodology is illustrated using both simulation studies and application to a real dataset from a clinical periodontology study.
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Universidade Estadual de Campinas . Faculdade de Educação Física
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The aim of this study was to comparatively assess dental arch width, in the canine and molar regions, by means of direct measurements from plaster models, photocopies and digitized images of the models. The sample consisted of 130 pairs of plaster models, photocopies and digitized images of the models of white patients (n = 65), both genders, with Class I and Class II Division 1 malocclusions, treated by standard Edgewise mechanics and extraction of the four first premolars. Maxillary and mandibular intercanine and intermolar widths were measured by a calibrated examiner, prior to and after orthodontic treatment, using the three modes of reproduction of the dental arches. Dispersion of the data relative to pre- and posttreatment intra-arch linear measurements (mm) was represented as box plots. The three measuring methods were compared by one-way ANOVA for repeated measurements (α = 0.05). Initial / final mean values varied as follows: 33.94 to 34.29 mm / 34.49 to 34.66 mm (maxillary intercanine width); 26.23 to 26.26 mm / 26.77 to 26.84 mm (mandibular intercanine width); 49.55 to 49.66 mm / 47.28 to 47.45 mm (maxillary intermolar width) and 43.28 to 43.41 mm / 40.29 to 40.46 mm (mandibular intermolar width). There were no statistically significant differences between mean dental arch widths estimated by the three studied methods, prior to and after orthodontic treatment. It may be concluded that photocopies and digitized images of the plaster models provided reliable reproductions of the dental arches for obtaining transversal intra-arch measurements.
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Dental impression is an important step in the preparation of prostheses since it provides the reproduction of anatomic and surface details of teeth and adjacent structures. The objective of this study was to evaluate the linear dimensional alterations in gypsum dies obtained with different elastomeric materials, using a resin coping impression technique with individual shells. A master cast made of stainless steel with fixed prosthesis characteristics with two prepared abutment teeth was used to obtain the impressions. References points (A, B, C, D, E and F) were recorded on the occlusal and buccal surfaces of abutments to register the distances. The impressions were obtained using the following materials: polyether, mercaptan-polysulfide, addition silicone, and condensation silicone. The transfer impressions were made with custom trays and an irreversible hydrocolloid material and were poured with type IV gypsum. The distances between identified points in gypsum dies were measured using an optical microscope and the results were statistically analyzed by ANOVA (p < 0.05) and Tukey's test. The mean of the distances were registered as follows: addition silicone (AB = 13.6 µm, CD=15.0 µm, EF = 14.6 µm, GH=15.2 µm), mercaptan-polysulfide (AB = 36.0 µm, CD = 36.0 µm, EF = 39.6 µm, GH = 40.6 µm), polyether (AB = 35.2 µm, CD = 35.6 µm, EF = 39.4 µm, GH = 41.4 µm) and condensation silicone (AB = 69.2 µm, CD = 71.0 µm, EF = 80.6 µm, GH = 81.2 µm). All of the measurements found in gypsum dies were compared to those of a master cast. The results demonstrated that the addition silicone provides the best stability of the compounds tested, followed by polyether, polysulfide and condensation silicone. No statistical differences were obtained between polyether and mercaptan-polysulfide materials.
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O objetivo deste artigo é discutir a evolução da mortalidade por câncer de colo de útero no Estado do Paraná entre 1980 e 2000 e analisar seus diferenciais socioeconômicos em cada região. Taxas de mortalidade ajustadas por idade foram calculadas para as 22 regionais de saúde do Estado a cada ano. Análises comparativas avaliaram indicadores socioeconômicos associados com regiões que apresentaram tendência estacionária e crescente de mortalidade. A mortalidade por câncer de colo uterino cresceu no Estado como um todo a uma taxa de 1,68% (IC 1,20-2,17) ao ano. A maior parte das regiões apresentou tendência estacionária de mortalidade por câncer de colo de útero. As regionais com tendência de aumento na mortalidade apresentaram proporção significativamente mais elevada de analfabetismo (p<0,001) e de adultos (15 anos ou mais) com menos de 4 anos de estudo (p=0,001), e renda per capita (p=0,025) e IDH (p=0,023) inferiores. Houve tendência de aumento na mortalidade em todo o Estado; as regiões que contribuíram para o aumento experimentaram piores indicadores socioeconômicos.
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The purpose of this study was to develop and validate equations to estimate the aboveground phytomass of a 30 years old plot of Atlantic Forest. In two plots of 100 m², a total of 82 trees were cut down at ground level. For each tree, height and diameter were measured. Leaves and woody material were separated in order to determine their fresh weights in field conditions. Samples of each fraction were oven dried at 80 °C to constant weight to determine their dry weight. Tree data were divided into two random samples. One sample was used for the development of the regression equations, and the other for validation. The models were developed using single linear regression analysis, where the dependent variable was the dry mass, and the independent variables were height (h), diameter (d) and d²h. The validation was carried out using Pearson correlation coefficient, paired t-Student test and standard error of estimation. The best equations to estimate aboveground phytomass were: lnDW = -3.068+2.522lnd (r² = 0.91; s y/x = 0.67) and lnDW = -3.676+0.951ln d²h (r² = 0.94; s y/x = 0.56).
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The enzyme purine nucleoside phosphorylase from Schistosoma mansoni (SmPNP) is an attractive molecular target for the treatment of major parasitic infectious diseases, with special emphasis on its role in the discovery of new drugs against schistosomiasis, a tropical disease that affects millions of people worldwide. In the present work, we have determined the inhibitory potency and developed descriptor- and fragment-based quantitative structure-activity relationships (QSAR) for a series of 9-deazaguanine analogs as inhibitors of SmPNP. Significant statistical parameters (descriptor-based model: r² = 0.79, q² = 0.62, r²pred = 0.52; and fragment-based model: r² = 0.95, q² = 0.81, r²pred = 0.80) were obtained, indicating the potential of the models for untested compounds. The fragment-based model was then used to predict the inhibitory potency of a test set of compounds, and the predicted values are in good agreement with the experimental results
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In this work we report on a comparison of some theoretical models usually used to fit the dependence on temperature of the fundamental energy gap of semiconductor materials. We used in our investigations the theoretical models of Viña, Pässler-p and Pässler-ρ to fit several sets of experimental data, available in the literature for the energy gap of GaAs in the temperature range from 12 to 974 K. Performing several fittings for different values of the upper limit of the analyzed temperature range (Tmax), we were able to follow in a systematic way the evolution of the fitting parameters up to the limit of high temperatures and make a comparison between the zero-point values obtained from the different models by extrapolating the linear dependence of the gaps at high T to T = 0 K and that determined by the dependence of the gap on isotope mass. Using experimental data measured by absorption spectroscopy, we observed the non-linear behavior of Eg(T) of GaAs for T > ΘD.
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Este artigo é produto da pesquisa Articulação Trabalho e Família: Famílias Urbanas de Baixa Renda e Políticas de Apoio às Trabalhadoras, que teve por objetivo analisar a administração das dificuldades e dos conflitos que surgem na vida cotidiana de mulheres que trabalham fora de casa e têm responsabilidades familiares. Apresenta dados quantitativos e qualitativos: os primeiros foram extraídos da Pesquisa Nacional por Amostragem de Domicílios, de 2002, e os segundos, da realização de quatro grupos focais, com mulheres de 20 a 45 anos, de famílias de baixa renda, com filhos de até 14 anos. A análise foi realizada de forma integrada, estruturada em torno das seguintes questões: o conceito de trabalho doméstico; a divisão sexual do trabalho doméstico; o uso do tempo em afazeres domésticos; a conciliação do trabalho com a família e políticas sociais que contribuem para essa conciliação.
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The aim of this study was to determine the reproducibility, reliability and validity of measurements in digital models compared to plaster models. Fifteen pairs of plaster models were obtained from orthodontic patients with permanent dentition before treatment. These were digitized to be evaluated with the program Cécile3 v2.554.2 beta. Two examiners measured three times the mesiodistal width of all the teeth present, intercanine, interpremolar and intermolar distances, overjet and overbite. The plaster models were measured using a digital vernier. The t-Student test for paired samples and interclass correlation coefficient (ICC) were used for statistical analysis. The ICC of the digital models were 0.84 ± 0.15 (intra-examiner) and 0.80 ± 0.19 (inter-examiner). The average mean difference of the digital models was 0.23 ± 0.14 and 0.24 ± 0.11 for each examiner, respectively. When the two types of measurements were compared, the values obtained from the digital models were lower than those obtained from the plaster models (p < 0.05), although the differences were considered clinically insignificant (differences < 0.1 mm). The Cécile digital models are a clinically acceptable alternative for use in Orthodontics.
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This cross-sectional study aimed to investigate the presence of inequalities in the access and use of dental services for people living in the coverage area of the Family Health Strategy (FHS) in Ponta Grossa, Paraná State, Brazil, and to assess individual determinants related to them. The sample consisted of 747 individuals who answered a pre-tested questionnaire. Data analysis was performed by chi-square test and Poisson regression analysis, obtaining explanatory models for recent use and, by limiting the analysis to those who sought dental care, for effective access. Results showed that 41% of the sample had recent dental visits. The lowest visit rates were observed among preschoolers and elderly people. The subjects who most identified the FHS as a regular source of dental care were children. Besides age, better socioeconomic conditions and the presence of a regular source of dental care were positively associated to recent dental visits. We identified inequalities in use and access to dental care, reinforcing the need to promote incentives to improve access for underserved populations.
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OBJETIVO: Estimar a proporção de automedicação em adultos de baixa renda e identificar fatores associados. MÉTODOS: Foram utilizados dados de inquérito populacional realizado no município de São Paulo em 2005, cujo plano amostral incluiu dois domínios, favela e não favela, com amostragem por conglomerados em dois estágios, totalizando 3.226 indivíduos elegíveis. Além de características sociodemográficas e econômicas, foram analisados: uso de medicamentos nos 15 dias anteriores à entrevista, tipo de acesso (gratuito, comprado ou outra) aos medicamentos e os tipos de morbidades (crônicas ou agudas) tratadas, em análise de regressão logística múltipla. RESULTADOS: A proporção de automedicação foi de 27% a 32%. Automedicação esteve fortemente associada à morbidade aguda, ao acesso ao medicamento por compra, à idade menor que 47 anos e medicamentos do grupo terapêutico que atuam no sistema nervoso central. O grupo que atua no sistema nervoso central foi o mais utilizado na automedicação. CONCLUSÕES: O acesso gratuito aos medicamentos mostrou-se fator de proteção para a automedicação. A distribuição de medicamentos e o atendimento adequado devem ser considerados para orientação e redução dos riscos que o uso irracional de medicamentos pode gerar à saúde.