Distinção entre cachaças destiladas em alambiques e em colunas usando quimiometria

One hundred fifteen cachaça samples derived from distillation in copper stills (73) or in stainless steels (42) were analyzed for thirty five itens by chromatography and inductively coupled plasma optical emission spectrometry. The analytical data were treated through Factor Analysis (FA), Partial Least Square Discriminant Analysis (PLS-DA) and Quadratic Discriminant Analysis (QDA). The FA explained 66.0% of the database variance. PLS-DA showed that it is possible to distinguish between the two groups of cachaças with 52.8% of the database variance. QDA was used to build up a classification model using acetaldehyde, ethyl carbamate, isobutyl alcohol, benzaldehyde, acetic acid and formaldehyde as chemical descriptors. The model presented 91.7% of accuracy on predicting the apparatus in which unknown samples were distilled.

Mortalidade feminina por hipertensão: análise por causas múltiplas

INTRODUÇÃO: A prevalência da hipertensão arterial vem crescendo no país, constituindo-se em um problema de saúde pública por sua magnitude e dificuldades no controle. OBJETIVO: Avaliar a qualidade dos dados sobre hipertensão como causa de morte e verificar o ganho de informação na mortalidade por hipertensão arterial de mulheres de 10 a 49 anos, por meio da metodologia de análise por causas múltiplas de morte. MATERIAL E MÉTODOS: Foi constituída uma base de dados com 7.332 óbitos ocorridos no primeiro semestre de 2002 pertencentes ao "Estudo da Morbi-Mortalidade de Mulheres de 10 a 49 anos". A metodologia RAMOS (Reproductive Age Mortality Survey) foi aplicada em todas as capitais de Estados brasileiros e Distrito Federal. Com as informações adicionais, foi preenchida uma nova declaração de óbito - DO-NOVA. Foram analisados dois conjuntos de dados (DO-ORIGINAL - antes da investigação - e DO-NOVA - após resgate das informações. Foram realizadas comparações segundo causas básicas e múltiplas por fontes dos dados (DO-O, DO-N). RESULTADOS E CONCLUSÃO: A DO-ORIGINAL apresentou algumas falhas quantitativas e qualitativas. Concluiu-se que a análise por causas múltiplas enriquece a informação, com base nas DO. São necessárias ações contínuas para um melhor preenchimento da DO, pelos médicos, e deve haver mais estudos que adotem a metodologia de causas múltiplas.

Cobertura de linhas telefônicas residenciais e vícios potenciais em estudos epidemiológicos

OBJETIVO: Estimar o efeito da taxa de cobertura de linhas telefônicas residenciais em potenciais vícios de informação em inquéritos epidemiológicos. MÉTODOS: Foram utilizadas as bases de dados da Pesquisa Nacional por Amostra de Domicílios no período de 1998 a 2003 para a estimativa das taxas de cobertura de linhas telefônicas residenciais nas cinco regiões geográficas brasileiras. Utilizou-se a regressão logística múltipla para identificar os fatores associados à posse de linha telefônica fixa. O impacto do vício nos intervalos com 95% de confiança foi avaliado em função da precisão alcançada em cada situação. RESULTADOS: Nas regiões metropolitanas Sudeste, Sul e Centro-Oeste com 70% e mais de cobertura, os vícios associados foram considerados desprezíveis. Nas demais regiões, os vícios relativos estavam acima do limite aceitável (0,4), indicando possíveis erros nas inferências construídas sob intervalo com 95% de confiança. A chance de acesso à linha telefônica residencial foi maior para população com cor da pele branca e maior escolaridade. CONCLUSÕES: Os achados mostram que o uso de cadastro de linhas telefônicas residenciais é indicado para a realização de inquéritos epidemiológicos apenas para estados com cobertura acima de 70%. Metodologias específicas para o tratamento de estimativas obtidas em localidades com taxas inferiores, precisam ser estudadas e divulgadas

Efetividade da suplementação diária ou semanal com ferro na prevenção da anemia em lactentes

OBJETIVO: Avaliar a efetividade da suplementação universal profilática com sulfato ferroso, em administração diária ou semanal, na prevenção da anemia em lactentes. MÉTODOS: Ensaio de campo randomizado com crianças de seis a 12 meses de idade, atendidas em unidades básicas de saúde do município do Rio de Janeiro, em 2004-2005. Foram formadas três coortes concorrentes com suplementação universal com sulfato ferroso com grupos: diário (n=150; 12,5mgFe/dia), semanal (n=147; 25mgFe/semana) e controle (n=94). A intervenção durou 24 semanas e foi acompanhada por ações educativas promotoras de adesão. A concentração de hemoglobina sérica foi analisada segundo sua distribuição, média e prevalência de anemia (Hb<110,0g/L) aos 12 meses de idade. A avaliação da efetividade foi realizada segundo intenção de tratar e adesão ao protocolo, utilizando-se análises de regressão múltipla (linear e de Poisson). RESULTADOS: Os grupos mostraram-se homogêneos quanto às variáveis de caracterização. A intervenção foi operacionalizada com sucesso, com elevada adesão ao protocolo em ambos os grupos expostos a ela, sem diferença estatística entre eles. Após ajuste, somente o esquema diário apresentou efeito protetor. Na análise por adesão, o esquema diário apresentou evidente efeito dose-resposta para média de hemoglobina sérica e prevalência de anemia, não sendo observado nenhum efeito protetor do esquema semanal. CONCLUSÕES: Apenas o esquema diário de suplementação universal com sulfato ferroso dos seis aos 12 meses de idade foi efetivo em aumentar a concentração de hemoglobina sérica e em reduzir o risco de anemia

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

Performance of young male swimmers in the 100-meters front crawl

Youth swimming performance may be influenced by anthropometric, physiology and technical factors. The present paper examined the role of these factors in performance of 100m freestyle in swimmers 12-14 years of age (n = 24). Multiple regression analysis (forward method) was used to examine the variance of the 100 meters front crawl. Anaerobic power, swimming index and critical speed explained 88% (p < .05) of the variance in the average speed of 100 meters front crawl among young male pubertal swimmers. To conclude, performance of young swimmers in the 100 meters front crawl is determined predominantly by physiological factors and swimming technique.

Classification of breast masses using a committee machine of artificial neural networks

This work proposes a new approach using a committee machine of artificial neural networks to classify masses found in mammograms as benign or malignant. Three shape factors, three edge-sharpness measures, and 14 texture measures are used for the classification of 20 regions of interest (ROIs) related to malignant tumors and 37 ROIs related to benign masses. A group of multilayer perceptrons (MLPs) is employed as a committee machine of neural network classifiers. The classification results are reached by combining the responses of the individual classifiers. Experiments involving changes in the learning algorithm of the committee machine are conducted. The classification accuracy is evaluated using the area A. under the receiver operating characteristics (ROC) curve. The A, result for the committee machine is compared with the A, results obtained using MLPs and single-layer perceptrons (SLPs), as well as a linear discriminant analysis (LDA) classifier Tests are carried out using the student's t-distribution. The committee machine classifier outperforms the MLP SLP, and LDA classifiers in the following cases: with the shape measure of spiculation index, the A, values of the four methods are, in order 0.93, 0.84, 0.75, and 0.76; and with the edge-sharpness measure of acutance, the values are 0.79, 0.70, 0.69, and 0.74. Although the features with which improvement is obtained with the committee machines are not the same as those that provided the maximal value of A(z) (A(z) = 0.99 with some shape features, with or without the committee machine), they correspond to features that are not critically dependent on the accuracy of the boundaries of the masses, which is an important result. (c) 2008 SPIE and IS&T.

NEAR INFRARED SPECTROSCOPY FOR ESTIMATING SUGARCANE BAGASSE CONTENT IN MEDIUM DENSITY FIBERBOARD

Medium density fiberboard (MDF) is an engineered wood product formed by breaking down selected lignin-cellulosic material residuals into fibers, combining it with wax and a resin binder, and then forming panels by applying high temperature and pressure. Because the raw material in the industrial process is ever-changing, the panel industry requires methods for monitoring the composition of their products. The aim of this study was to estimate the ratio of sugarcane (SC) bagasse to Eucalyptus wood in MDF panels using near infrared (NIR) spectroscopy. Principal component analysis (PCA) and partial least square (PLS) regressions were performed. MDF panels having different bagasse contents were easily distinguished from each other by the PCA of their NIR spectra with clearly different patterns of response. The PLS-R models for SC content of these MDF samples presented a strong coefficient of determination (0.96) between the NIR-predicted and Lab-determined values and a low standard error of prediction (similar to 1.5%) in the cross-validations. A key role of resins (adhesives), cellulose, and lignin for such PLS-R calibrations was shown. PLS-DA model correctly classified ninety-four percent of MDF samples by cross-validations and ninety-eight percent of the panels by independent test set. These NIR-based models can be useful to quickly estimate sugarcane bagasse vs. Eucalyptus wood content ratio in unknown MDF samples and to verify the quality of these engineered wood products in an online process.

Short-term nutritional counseling reduces body mass index, waist circumference, triceps skinfold and triglycerides in women with metabolic syndrome

Background: It is recognized that the growing epidemic of metabolic syndrome is related to dietary and lifestyle changes. Objective: The purpose of this study was to evaluate short-term application of nutritional counseling in women with metabolic syndrome. Methods: This follow-up study was conducted from September to November 2008 with thirty three women >= 35 years old screened clinically for nutritional counseling. Dietary intake was reported, and biochemical and body composition measures were taken at baseline and after three months of follow-up. Results: Of the 33 women evaluated, 29 patients completed the study. The prevalence of type 2 diabetes mellitus, hypertension, dyslipidemia, and obesity was high at 38%, 72.4%, 55.2%, and 75.8%, respectively. At the end of three-months of follow-up, a significant decline in body mass index, waist circumference, triceps skinfold, and triglycerides was observed, as was an increase in calcium and vitamin D intake. The multiple regression analysis showed that changes in body mass index, triceps skinfold, waist circumference and triglyceride levels after nutritional intervention were positively associated with changes in anthropometric (loss of body weight) and biochemical (decrease of TG/HDL-c ratio) parameters. Moreover, waist circumference changes were negatively associated with changes in calcium and vitamin D intake. Conclusion: Short-term nutritional counseling improved some factors of metabolic syndrome. Moreover, the increases in calcium and vitamin D consumption can be associated with the improvement in markers of metabolic syndrome.

Characterizing chaotic melodies in automatic music composition

In this paper, we initially present an algorithm for automatic composition of melodies using chaotic dynamical systems. Afterward, we characterize chaotic music in a comprehensive way as comprising three perspectives: musical discrimination, dynamical influence on musical features, and musical perception. With respect to the first perspective, the coherence between generated chaotic melodies (continuous as well as discrete chaotic melodies) and a set of classical reference melodies is characterized by statistical descriptors and melodic measures. The significant differences among the three types of melodies are determined by discriminant analysis. Regarding the second perspective, the influence of dynamical features of chaotic attractors, e.g., Lyapunov exponent, Hurst coefficient, and correlation dimension, on melodic features is determined by canonical correlation analysis. The last perspective is related to perception of originality, complexity, and degree of melodiousness (Euler's gradus suavitatis) of chaotic and classical melodies by nonparametric statistical tests. (c) 2010 American Institute of Physics. [doi: 10.1063/1.3487516]

Musical genres: beating to the rhythms of different drums

Online music databases have increased significantly as a consequence of the rapid growth of the Internet and digital audio, requiring the development of faster and more efficient tools for music content analysis. Musical genres are widely used to organize music collections. In this paper, the problem of automatic single and multi-label music genre classification is addressed by exploring rhythm-based features obtained from a respective complex network representation. A Markov model is built in order to analyse the temporal sequence of rhythmic notation events. Feature analysis is performed by using two multi-variate statistical approaches: principal components analysis (unsupervised) and linear discriminant analysis (supervised). Similarly, two classifiers are applied in order to identify the category of rhythms: parametric Bayesian classifier under the Gaussian hypothesis (supervised) and agglomerative hierarchical clustering (unsupervised). Qualitative results obtained by using the kappa coefficient and the obtained clusters corroborated the effectiveness of the proposed method.

Laser-induced breakdown spectroscopy and chemometrics for classification of toys relying on toxic elements

Quality control of toys for avoiding children exposure to potentially toxic elements is of utmost relevance and it is a common requirement in national and/or international norms for health and safety reasons. Laser-induced breakdown spectroscopy (LIBS) was recently evaluated at authors` laboratory for direct analysis of plastic toys and one of the main difficulties for the determination of Cd. Cr and Pb was the variety of mixtures and types of polymers. As most norms rely on migration (lixiviation) protocols, chemometric classification models from LIBS spectra were tested for sampling toys that present potential risk of Cd, Cr and Pb contamination. The classification models were generated from the emission spectra of 51 polymeric toys and by using Partial Least Squares - Discriminant Analysis (PLS-DA), Soft Independent Modeling of Class Analogy (SIMCA) and K-Nearest Neighbor (KNN). The classification models and validations were carried out with 40 and 11 test samples, respectively. Best results were obtained when KNN was used, with corrected predictions varying from 95% for Cd to 100% for Cr and Pb. (C) 2011 Elsevier B.V. All rights reserved.

Inter-individual variability in temporal structure of the basketball shoot

This study analyzed inter-individual variability of the temporal structure applied in basketball throwing. Ten experienced male athletes in basketball throwing were filmed and a number of kinematic movement parameters analyzed. A biomechanical model provided the relative timing of the shoulder, elbow and wrist joint movements. Inter-individual variability was analyzed using sequencing and relative timing of tem phases of the throw. To compare the variability of the movement phases between subjects a discriminant analysis and an ANOVA were applied. The Tukey test was applied to determine where differences occurred. The significance level was p = 0.05. Inter-individual variability was explained by three concomitant factors: (a) a precision control strategy, (b) a velocity control strategy and (c) intrinsic characteristics of the subjects. Therefore, despite the fact that some actions are common to the basketball throwing pattern each performed demonstrated particular and individual characteristics.

Performance of different immobilized lipases in palm oil biodiesel synthesis

Performance of different immobilized lipases in palm oil biodiesel synthesis. Optimized conditions for palm oil and ethanol enzymatic biodiesel synthesis were determined with different immobilized lipases SiO(2)-PVA-immobilized lipase from Pseudomonas fluorescens and acrylic resin-immobilized lipase, Novozym (R) 435, from Candida antartica, in solvent-free medium. A full factorial design assessed the influence of temperature (42 - 58 degrees C) and ethanol: palm oil (6:1 - 18:1) molar ratio on the transesterification yield. Main effects were adjusted by multiple regression analysis to linear models and the maximum transesterification yield was obtained at 42 degrees C and 18:1 ethanol: palm oil molar ratio. Mathematical models featuring total yield for each immobilized lipase were suitable to describe the experimental results.

Evaluation of carcass characteristics of Bos indicus and tropically adapted Bos taurus breeds selected for postweaning weight

Data from 9 studies were compiled to evaluate the effects of 20 yr of selection for postweaning weight (PWW) on carcass characteristics and meat quality in experimental herds of control Nellore (NeC) and selected Nellore (NeS), Caracu (CaS), Guzerah (GuS), and Gir (GiS) breeds. These studies were conducted with animals from a genetic selection program at the Experimental Station of Sertaozinho, Sao Paulo State, Brazil. After the performance test (168 d postweaning), bulls (n = 490) from the calf crops born between 1992 and 2000 were finished and slaughtered to evaluate carcass traits and meat quality. Treatments were different across studies. A meta-analysis was conducted with a random coefficients model in which herd was considered a fixed effect and treatments within year and year were considered as random effects. Either calculated maturity degree or initial BW was used interchangeably as the covariate, and least squares means were used in the multiple-comparison analysis. The CaS and NeS had heavier (P = 0.002) carcasses than the NeC and GiS; GuS were intermediate. The CaS had the longest carcass (P < 0.001) and heaviest spare ribs (P < 0.001), striploin (P < 0.001), and beef plate (P = 0.013). Although the body, carcass, and quarter weights of NeS were similar to those of CaS, NeS had more edible meat in the leg region than did CaS bulls. Selection for PWW increased rib-eye area in Nellore bulls. Selected Caracu had the lowest (most favorable) shear force values compared with the NeS (P = 0.003), NeC (P = 0.005), GuS (P = 0.003), and GiS (P = 0.008). Selection for PWW increased body, carcass, and meat retail weights in the Nellore without altering dressing percentage and body fat percentage.