Renda familiar, preço de alimentos e aquisição domiciliar de frutas e hortaliças no Brasil

OBJETIVO: Analisar a influência da renda familiar e do preço de alimentos sobre a participação de frutas e hortaliças dentre os alimentos adquiridos pelas famílias brasileiras. MÉTODOS: Foram utilizados dados da Pesquisa de Orçamentos Familiares realizada pelo Instituto Brasileiro de Geografia e Estatística, com amostra probabilística de 48.470 domicílios brasileiros entre 2002 e 2003. A participação de frutas e hortaliças no total de aquisições de alimentos foi expressa como percentual do total de calorias adquiridas e como calorias provenientes desses alimentos ajustadas para o total de calorias adquirido. Empregaram-se técnicas de análise de regressão múltipla para estimação de coeficientes de elasticidade, controlando-se variáveis sociodemográficas e preço dos demais alimentos. RESULTADOS: Observou-se aumento da participação de frutas e hortaliças no total de aquisições de alimentos com a diminuição de seu próprio preço ou com o aumento da renda. A diminuição do preço de frutas e hortaliças em 1 por cento aumentaria sua participação em 0,79 por cento do total calórico; o aumento de 1 por cento na renda familiar aumentaria essa participação no total calórico em 0,27 por cento. O efeito da renda tendeu a ser menor nos estratos de maior renda. CONCLUSÕES: A redução do preço de frutas e hortaliças, tanto pelo apoio à cadeia de produção dos alimentos quanto por medidas fiscais, é um promissor instrumento de política pública capaz de aumentar a participação desses alimentos na dieta brasileira

Prevalence and social distribution of risk factors for chronic noncommunicable diseases in Brazil

OBJETIVOS: Evaluar los factores de riesgo de enfermedades crónicas no transmisibles (ECNT) e identificar las desigualdades sociales relacionadas con su distribución en la población adulta brasileña.MÉTODOS: Se estudiaron los factores de riesgo de ECNT (entre ellos el consumo de tabaco, el sobrepeso y la obesidad, el bajo consumo de frutas y vegetales [BCFV], la insuficiente actividad física en el tiempo de ocio [IAFTO], el estilo de vida sedentario y el consumo excesivo de alcohol) en una muestra probabilística de 54369 adultos de 26 capitales estatales de Brasil y el Distrito Federal en 2006. Se utilizó el Sistema de Vigilancia de los Factores Protectores y de Riesgo para Enfermedades Crónicas No Transmisibles por Entrevistas Telefónicas (VIGITEL), un sistema de encuestas telefónicas asistido por computadora, y se calcularon las prevalencias ajustadas por la edad para las tendencias en cuanto al nivel educacional mediante la regresión de Poisson con modelos lineales. RESULTADOS: Los hombres informaron mayor consumo de tabaco, sobrepeso, BCFV, estilo de vida sedentario y consumo excesivo de alcohol que las mujeres, pero menos IAFTO. En los hombres, la educación se asoció con un mayor sobrepeso y un estilo de vida sedentario, pero con un menor consumo de tabaco, BCFV e IAFTO. En las mujeres, la educación se asoció con un menor consumo de tabaco, sobrepeso, obesidad, BCFV e IAFTO, pero aumentó el estilo de vida sedentario CONCLUSIONES: En Brasil, la prevalencia de factores de riesgo para ECNT (excepto IAFTO) es mayor en los hombres que en las mujeres. En ambos sexos, el nivel de educación influye en la prevalencia de los factores de riesgo para ECNT

Fatores associados ao consumo de frutas, legumes e verduras em adultos da cidade de São Paulo

OBJETIVO: Descrever a freqüência de consumo de frutas, legumes e verduras por adultos e analisar os fatores associados ao seu consumo. MÉTODOS: Estudo transversal realizado entre outubro e dezembro de 2003 no município de São Paulo (SP). Foram realizadas entrevistas telefônicas em amostra probabilística da população adulta (>18 anos) residente em domicílios servidos por linhas fixas de telefone, totalizando 1.267 mulheres e 855 homens. A freqüência do consumo de frutas, legumes e verduras foi medida por meio de um roteiro com perguntas curtas e simples. Na avaliação dos fatores associados ao consumo, realizou-se análise de regressão linear multivariada e hierarquizada, com variáveis sociodemográficas no primeiro nível hierárquico, comportamentais no segundo e relacionadas ao padrão alimentar no terceiro nível. RESULTADOS: A freqüência de consumo de frutas, legumes e verduras foi maior entre as mulheres. Para ambos os sexos, verificou-se que a freqüência desse consumo aumentava de acordo com a idade e a escolaridade do indivíduo. Entre mulheres que relataram ter realizado dieta no ano anterior houve maior consumo de frutas, legumes e verduras. O consumo de alimentos que indicam um padrão de consumo não saudável como açúcares e gorduras se mostrou inversamente associado ao consumo de frutas, legumes e verduras em ambos os sexos. CONCLUSÕES: O consumo de frutas, legumes e verduras da população adulta residente em São Paulo foi maior entre as mulheres, sendo influenciado pela idade, escolaridade e dieta

Factors associated with sexual initiation and condom use among adolescents on Santiago Island, Cape Verde, West Africa

Foram analisados fatores associados ao início da vida sexual de adolescentes na Ilha de Santiago, Cabo Verde, segundo sexo. Estudo realizado com amostra probabilística e representativa de 768 adolescentes, age 13-17 anos, de escolas secundárias públicas da Ilha de Santiago em 2007. A associação foi testada pelo teste de proporção, qui-quadrado de Pearson ou Fisher e regressão logística. Nos rapazes, os fatores associados ao início da vida sexual foram: idade maior que 14 anos, ser católico e consumo de bebidas alcoólicas. Para meninas: escolaridade maior que nove anos e ter parceiro afetivo-sexual. Ao contrário de outros contextos da África Subsaariana, foram constatadas taxas elevadas de uso de preservativo por adolescentes no início da vida sexual. Os adolescentes podem iniciar a vida sexual de maneira mais segura se tiverem informação, educação sexual e acesso a métodos de prevenção à gravidez e às DST. Este artigo oferece elementos para a reflexão sobre o delineamento de políticas de redução da vulnerabilidade dos jovens às DST/AIDS e sobre os limites e desafios da promoção do uso do preservativo e educação sexual, focando as relações desiguais de gênero

Mães de crianças com deficiência visual: percepções, conduta e constribuição do atendimento em grupo

A presente pesquisa teve quatro objetivos: 1) identificar reações de mães em relação ao diagnóstico da deficiência visual; 2) identificar o responsável pela detecção da deficiência; 3) verificar dificuldades da criança no processo de escolarização, e 4) verificar possíveis contribuições de atividades terapêuticas direcionadas ao grupo de mães. Foi realizado um "survey" descritivo com as mães de crianças com deficiência visual, atendidas no CEPRE-FCM-Unicamp. Para a coleta de dados foi utilizado um questionário aplicado por entrevista, desenvolvido após estudo exploratório. Compôs-se uma amostra não probabilística, constituída por 14 mães. Entre os resultados obtidos, com relação aos sentimentos apontados pelas mães em relação ao diagnóstico, destacaram-se: a tristeza (71,0 por cento); o medo (64,0 por cento) e a decepção (42,0 por cento). O problema visual foi percebido por mães em 53,0 por cento dos casos, por pediatras em 26,0 por cento e por familiares em 21,0 por cento. Entre as dificuldades da criança no processo de escolarização foram apontadas: medo de não conseguirem acompanhar as exigências escolares (75,0 por cento) e discriminação (63,0 por cento). A maioria das mães (78,0 por cento) acredita que as atividades do grupo contribuem para o esclarecimento de dúvidas, e as atividades terapêuticas contribuíram para que aprendessem a lidar com as dificuldades de seus filhos (78,0 por cento). Os resultados obtidos contribuíram para concluir: que os sentimentos de tristeza, medo e decepção mostraram-se mais evidentes; que, na maioria dos casos, a deficiência visual foi detectada pela mãe; que na opinião das mães, as crianças teriam dificuldades em acompanhar as atividades escolares e que o grupo contribuiu para esclarecer dúvidas e favorecer troca de experiências

Effects of Variations in Nonlinear Damping Coefficients on the Parametric Vibration of a Cantilever Beam with a Lumped Mass

Uncertainties in damping estimates can significantly affect the dynamic response of a given flexible structure. A common practice in linear structural dynamics is to consider a linear viscous damping model as the major energy dissipation mechanism. However, it is well known that different forms of energy dissipation can affect the structure's dynamic response. The major goal of this paper is to address the effects of the turbulent frictional damping force, also known as drag force on the dynamic behavior of a typical flexible structure composed of a slender cantilever beam carrying a lumped-mass on the tip. First, the system's analytical equation is obtained and solved by employing a perturbation technique. The solution process considers variations of the drag force coefficient and its effects on the system's response. Then, experimental results are presented to demonstrate the effects of the nonlinear quadratic damping due to the turbulent frictional force on the system's dynamic response. In particular, the effects of the quadratic damping on the frequency-response and amplitude-response curves are investigated. Numerically simulated as well as experimental results indicate that variations on the drag force coefficient significantly alter the dynamics of the structure under investigation. Copyright (c) 2008 D. G. Silva and P. S. Varoto.

The Effect of Spatial Scale on Predicting Time Series: A Study on Epidemiological System Identification

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.

A Análise Matemática no Ensino Universitário Brasileiro: a contribuição de Omar Catunda

The goal of this paper is to show the diffusion, reception, and utilization of Omar Catunda's book Course of Mathematical Analysis for mathematics and engineering teaching in Brazilian universities, e. g., University of Sao Paulo and the University of Bahia from 1950 to 1976. We used interviews of some ex-alumni or users of his book. We also present some signs of the influence of his book and of Catunda himself at University of Rio Grande do Sul. We argue that Catunda and his book were important agents of process of modernizing the teaching of calculus and analysis, through his classes as well as his book.

Anti-tumor therapy with macroencapsulated endostatin producer cells

Background: Theracyte is a polytetrafluoroethylene membrane macroencapsulation system designed to induce neovascularization at the tissue interface, protecting the cells from host's immune rejection, thereby circumventing the problem of limited half-life and variation in circulating levels. Endostatin is a potent inhibitor of angiogenesis and tumor growth. Continuous delivery of endostatin improves the efficacy and potency of the antitumoral therapy. The purpose of this study was to determine whether recombinant fibroblasts expressing endostatin encapsulated in Theracyte immunoisolation devices can be used for delivery of this therapeutic protein for treatment of mice bearing B16F10 melanoma and Ehrlich tumors. Results: Mice were inoculated subcutaneously with melanoma (B16F10 cells) or Ehrlich tumor cells at the foot pads. Treatment began when tumor thickness had reached 0.5 mm, by subcutaneous implantation of 10(7) recombinant encapsulated or non-encapsulated endostatin producer cells. Similar melanoma growth inhibition was obtained for mice treated with encapsulated or non-encapsulated endostatin-expressing cells. The treatment of mice bearing melanoma tumor with encapsulated endostatin-expressing cells was decreased by 50.0%, whereas a decrease of 56.7% in tumor thickness was obtained for mice treated with non-encapsulated cells. Treatment of Ehrlich tumor-bearing mice with non-encapsulated endostatin-expressing cells reduced tumor thickness by 52.4%, whereas lower tumor growth inhibition was obtained for mice treated with encapsulated endostatin-expressing cells: 24.2%. Encapsulated endostatin-secreting fibroblasts failed to survive until the end of the treatment. However, endostatin release from the devices to the surrounding tissues was confirmed by immunostaining. Decrease in vascular structures, functional vessels and extension of the vascular area were observed in melanoma microenvironments. Conclusions: This study indicates that immunoisolation devices containing endostatin-expressing cells are effective for the inhibition of the growth of melanoma and Ehrlich tumors. Macroencapsulation of engineered cells is therefore a reliable platform for the refinement of innovative therapeutic strategies against tumors.

Er : YAG laser, ultrasonic system, and curette produce different profiles on dentine root surfaces: An in vitro study

Objective: The aim of the present study was to compare the in vitro effects of the Er:YAG laser, an ultrasonic system, and manual curette on dentine root surface by roughness and micro-morphological analysis. Materials and Methods: Thirty-six flattened bovine roots were randomly assigned to one of the following groups: group 1 (n = 12): Er: YAG laser ( 2940 nm), 120 mJ/pulse, 10 Hz, 8.4 J/cm(2); group 2 ( n = 12): ultrasonic system; and group 3 ( n = 12): manual curette. The mean surface roughness (Ra) of each sample was measured using a profilometer before and after the treatments. The micro-morphology of the treated and untreated ( control) root surfaces was evaluated with scanning electron microscopy (SEM) at 50 x and 1000 x magnification. Results: Analysis with the profilometer showed that for equal times of instrumentation, the smoothest surfaces were produced by the Er: YAG laser and the ultrasonic system, followed by the curette ( p < 0.05). Morphological analyses demonstrated that treatment with the Er: YAG laser produced some areas with an irregular surface, craters, and ablation of the intertubular dentin. The smear layer was removed and dentine tubules were opened by both curettes and the ultrasonic system. The micro-morphology of the dentine root surface after ultrasonic treatment, however, demonstrated randomly distributed areas cratering. Conclusion: All instruments increased the roughness of the dentine root surface after treatment; however, the curette produced rougher surfaces than the other devices. SEM analysis revealed distinct root surface profiles produced by the three devices.

Sensitivity to noise and ergodicity of an assembly line of cellular automata that classifies density

We investigate the sensitivity of the composite cellular automaton of H. Fuks [Phys. Rev. E 55, R2081 (1997)] to noise and assess the density classification performance of the resulting probabilistic cellular automaton (PCA) numerically. We conclude that the composite PCA performs the density classification task reliably only up to very small levels of noise. In particular, it cannot outperform the noisy Gacs-Kurdyumov-Levin automaton, an imperfect classifier, for any level of noise. While the original composite CA is nonergodic, analyses of relaxation times indicate that its noisy version is an ergodic automaton, with the relaxation times decaying algebraically over an extended range of parameters with an exponent very close (possibly equal) to the mean-field value.

Gene Expression Complex Networks: Synthesis, Identification, and Analysis

Thanks to recent advances in molecular biology, allied to an ever increasing amount of experimental data, the functional state of thousands of genes can now be extracted simultaneously by using methods such as cDNA microarrays and RNA-Seq. Particularly important related investigations are the modeling and identification of gene regulatory networks from expression data sets. Such a knowledge is fundamental for many applications, such as disease treatment, therapeutic intervention strategies and drugs design, as well as for planning high-throughput new experiments. Methods have been developed for gene networks modeling and identification from expression profiles. However, an important open problem regards how to validate such approaches and its results. This work presents an objective approach for validation of gene network modeling and identification which comprises the following three main aspects: (1) Artificial Gene Networks (AGNs) model generation through theoretical models of complex networks, which is used to simulate temporal expression data; (2) a computational method for gene network identification from the simulated data, which is founded on a feature selection approach where a target gene is fixed and the expression profile is observed for all other genes in order to identify a relevant subset of predictors; and (3) validation of the identified AGN-based network through comparison with the original network. The proposed framework allows several types of AGNs to be generated and used in order to simulate temporal expression data. The results of the network identification method can then be compared to the original network in order to estimate its properties and accuracy. Some of the most important theoretical models of complex networks have been assessed: the uniformly-random Erdos-Renyi (ER), the small-world Watts-Strogatz (WS), the scale-free Barabasi-Albert (BA), and geographical networks (GG). The experimental results indicate that the inference method was sensitive to average degree k variation, decreasing its network recovery rate with the increase of k. The signal size was important for the inference method to get better accuracy in the network identification rate, presenting very good results with small expression profiles. However, the adopted inference method was not sensible to recognize distinct structures of interaction among genes, presenting a similar behavior when applied to different network topologies. In summary, the proposed framework, though simple, was adequate for the validation of the inferred networks by identifying some properties of the evaluated method, which can be extended to other inference methods.

Context tree selection: A unifying view

Context tree models have been introduced by Rissanen in [25] as a parsimonious generalization of Markov models. Since then, they have been widely used in applied probability and statistics. The present paper investigates non-asymptotic properties of two popular procedures of context tree estimation: Rissanen's algorithm Context and penalized maximum likelihood. First showing how they are related, we prove finite horizon bounds for the probability of over- and under-estimation. Concerning overestimation, no boundedness or loss-of-memory conditions are required: the proof relies on new deviation inequalities for empirical probabilities of independent interest. The under-estimation properties rely on classical hypotheses for processes of infinite memory. These results improve on and generalize the bounds obtained in Duarte et al. (2006) [12], Galves et al. (2008) [18], Galves and Leonardi (2008) [17], Leonardi (2010) [22], refining asymptotic results of Buhlmann and Wyner (1999) [4] and Csiszar and Talata (2006) [9]. (C) 2011 Elsevier B.V. All rights reserved.

Random perturbations of stochastic processes with unbounded variable length memory

We consider binary infinite order stochastic chains perturbed by a random noise. This means that at each time step, the value assumed by the chain can be randomly and independently flipped with a small fixed probability. We show that the transition probabilities of the perturbed chain are uniformly close to the corresponding transition probabilities of the original chain. As a consequence, in the case of stochastic chains with unbounded but otherwise finite variable length memory, we show that it is possible to recover the context tree of the original chain, using a suitable version of the algorithm Context, provided that the noise is small enough.

LATENT RANK CHANGE DETECTION FOR ANALYSIS OF SPLICE-JUNCTION MICROARRAYS WITH NONLINEAR EFFECTS

Alternative splicing of gene transcripts greatly expands the functional capacity of the genome, and certain splice isoforms may indicate specific disease states such as cancer. Splice junction microarrays interrogate thousands of splice junctions, but data analysis is difficult and error prone because of the increased complexity compared to differential gene expression analysis. We present Rank Change Detection (RCD) as a method to identify differential splicing events based upon a straightforward probabilistic model comparing the over-or underrepresentation of two or more competing isoforms. RCD has advantages over commonly used methods because it is robust to false positive errors due to nonlinear trends in microarray measurements. Further, RCD does not depend on prior knowledge of splice isoforms, yet it takes advantage of the inherent structure of mutually exclusive junctions, and it is conceptually generalizable to other types of splicing arrays or RNA-Seq. RCD specifically identifies the biologically important cases when a splice junction becomes more or less prevalent compared to other mutually exclusive junctions. The example data is from different cell lines of glioblastoma tumors assayed with Agilent microarrays.