976 resultados para Cg-nap


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Background: Investigation and discrimination of neuromuscular variables related to the complex aetiology of low back pain could contribute to clarifying the factors associated with symptoms. Objective: Analysing the discriminative power of neuromuscular variables in low back pain. Methods: This study compared muscle endurance, proprioception and isometric trunk assessments between women with low back pain (LBP, n=14) and a control group (CG, n=14). Multivariate analysis of variance and discriminant analysis of the data were performed. Results: The muscle endurance time (s) was shorter in the LBP group than in the CG (p=0.004) with values of 85.81 (37.79) and 134.25 (43.88), respectively. The peak torque (Nm/kg) for trunk extension was 2.48 (0.69) in the LBP group and 3.56 (0.88) in the GG (p=0.001); for trunk flexion, the mean torque was 1.49 (0.40) in the LBP group and 1.85 (0.39) in the CG (p=0.023). The repositioning error (degrees) before the endurance test was 2.66 (1.36) in the LBP group and 2.41 (1.46) in the CG (p=0.664), and after the endurance test, it was 2.95 (1.94) in the LBP group and 2.00 (1.16) in the CG (p=0.06). Furthermore, the variables showed discrimination between the groups (p=0.007), with 78.6% of the individuals with low back pain correctly classified in the LBP group. In turn, variables related to muscle activation showed no difference in discrimination between the groups (p=0.369). Conclusion: Based on these findings, the clinical management of low back pain should consist of both resistance and strength training, particularly in the extensor muscles.

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The strategic management of information plays a fundamental role in the organizational management process since the decision-making process depend on the need for survival in a highly competitive market. Companies are constantly concerned about information transparency and good practices of corporate governance (CG) which, in turn, directs relations between the controlling power of the company and investors. In this context, this article presents the relationship between the disclosing of information of joint-stock companies by means of using XBRL, the open data model adopted by the Brazilian government, a model that boosted the publication of Information Access Law (Lei de Acesso à Informação), nº 12,527 of 18 November 2011. Information access should be permeated by a mediation policy in order to subsidize the knowledge construction and decision-making of investors. The XBRL is the main model for the publishing of financial information. The use of XBRL by means of new semantic standard created for Linked Data, strengthens the information dissemination, as well as creates analysis mechanisms and cross-referencing of data with different open databases available on the Internet, providing added value to the data/information accessed by civil society.

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Pós-graduação em Odontologia - FOAR

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Pós-graduação em Química - IQ

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Zootecnia - FCAV

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Objetivo: O presente trabalho, dividido em três estudos, teve como objetivo geral identificar e quantificar a liberação de componentes e avaliar a citotoxicidade e a biocompatibilidade de cimentos de ionômero de vidro (CIVs). Método: Para o estudo 1, extratos dos CIVs Vitrebond (VB), Fuji Lining LC (FL), Vitremer (VM), Fuji II LC (FII), Ketac Fil Plus (KF) e Ketac Molar Easymix (KM) foram obtidos pela imersão de corpos-de-prova em meio de cultura celular (DMEM). Esses extratos (n=9 por grupo) foram analisados por eletrodo específico quanto à presença de flúor e por espectrometria de absorção atômica quanto à presença de alumínio e zinco. HEMA e iodobenzeno foram identificados por CG/EM (n=6). Para o estudo 2, células MDPC-23 foram colocadas em contato com os extratos dos CIVs por 24 horas. Em seguida, foram avaliadas a atividade da desidrogenase succínica (SDH) (n=8), a produção de proteína total (PT) (n=8), a atividade da fosfatase alcalina (FAL) (n=8) e a morfologia celular (n=2). Para o estudo 3, tubos de polietileno (n=24 por grupo) foram preenchidos com os CIVs e implantados no tecido subcutâneo de 42 ratos. Como grupo controle foi utilizada a guta-percha. Após 7 ou 15 dias de pós-operatório, metade dos espécimes de cada grupo e período (n=6) foi preparada para análise histológica, e os demais (n=6) para análise da expressão de genes que codificam para IL-1? e TNF-?. Resultados: Os extratos de todos os CIVs apresentaram uma concentração de flúor significativamente maior do que o meio de cultura DMEM (controle), tendo o VB liberado maior quantidade, estatisticamente significante, do que os demais CIVs. O VB foi, também, o único material que liberou quantidades relativamente altas de alumínio e de zinco. O HEMA foi identificado nos extratos de todos os CIVs modificados por resina (VB, FL, VM e FII), e o iodobenzeno... (Resumo completo, clicar acesso eletrônico abaixo)

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Given the importance of Guzera breeding programs for milk production in the tropics, the objective of this study was to compare alternative random regression models for estimation of genetic parameters and prediction of breeding values. Test-day milk yields records (TDR) were collected monthly, in a maximum of 10 measurements. The database included 20,524 records of first lactation from 2816 Guzera cows. TDR data were analyzed by random regression models (RRM) considering additive genetic, permanent environmental and residual effects as random and the effects of contemporary group (CG), calving age as a covariate (linear and quadratic effects) and mean lactation curve as fixed. The genetic additive and permanent environmental effects were modeled by RRM using Wilmink, All and Schaeffer and cubic B-spline functions as well as Legendre polynomials. Residual variances were considered as heterogeneous classes, grouped differently according to the model used. Multi-trait analysis using finite-dimensional models (FDM) for testday milk records (TDR) and a single-trait model for 305-days milk yields (default) using the restricted maximum likelihood method were also carried out as further comparisons. Through the statistical criteria adopted, the best RRM was the one that used the cubic B-spline function with five random regression coefficients for the genetic additive and permanent environmental effects. However, the models using the Ali and Schaeffer function or Legendre polynomials with second and fifth order for, respectively, the additive genetic and permanent environmental effects can be adopted, as little variation was observed in the genetic parameter estimates compared to those estimated by models using the B-spline function. Therefore, due to the lower complexity in the (co)variance estimations, the model using Legendre polynomials represented the best option for the genetic evaluation of the Guzera lactation records. An increase of 3.6% in the accuracy of the estimated breeding values was verified when using RRM. The ranks of animals were very close whatever the RRM for the data set used to predict breeding values. Considering P305, results indicated only small to medium difference in the animals' ranking based on breeding values predicted by the conventional model or by RRM. Therefore, the sum of all the RRM-predicted breeding values along the lactation period (RRM305) can be used as a selection criterion for 305-day milk production. (c) 2014 Elsevier B.V. All rights reserved.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)