Altérations de la repolarisation ventriculaire induites par l’exercice dans la sténose congénitale modérée de la valve aortique

Introduction: La surcharge de pression ventriculaire augmente à l’exercice chez les patients avec une sténose de valve aortique (SVA). Lorsqu’il n’y a aucun symptôme apparent, il est cependant difficile d’indiquer l’intervention chirurgicale en utilisant seulement les indices de surcharge de pression ventriculaire. D’autres paramètres, tels que la dispersion de la repolarisation ventriculaire (d-QT), qui augmentent avec le gradient de pression transvalvulaire (GPT), n’ont pas été étudiés dans la SVA. L’objectif de l’étude était de déterminer le modèle de réponse du segment QT et de la d-QT à l’épreuve d’effort chez des enfants avec une SVA congénitale modérée afin d’évaluer l’impact de la surcharge de pression ventriculaire selon une perspective électrophysiologique. Matériel et méthodes: 15 patients SVA modérés ont été comparés à 15 sujets contrôles appariés pour l’âge (14.8±2.5 ans vs. 14.2±1.5 ans) et pour le sexe (66,7% de sujets mâles). Tous les sujets ont fait une épreuve d’effort avec enregistrement électrocardiographique à 12 dérivations. Le segment QT a été mesuré à partir du début du complexe QRS jusqu’à l’apex de l’onde T (QTa) au repos, à l’effort maximal ainsi qu’après 1 et 3 minutes de récupération. La longueur du segment QT a été corrigée selon l’équation de Fridericia et la d-QT a été calculée. Résultats: La longueur du segment QT corrigée (QTc) était similaire au repos entre les groupes d’étude, mais était significativement élevée chez les SVA en comparaison avec le groupe contrôle à l’effort maximal (p=0.004) ainsi qu’après 1 (p<0.001) et 3 (p<0.001) minutes de récupération. Une interaction significative a été identifiée entre les groupes pour la d-QT (p=0.034) et les tests post hoc ont révélé une différence significative seulement au repos (p=0.001). Conclusions: Les anomalies de repolarisation ventriculaire peuvent être révélées par l’évaluation de la repolarisation électrique lors de l’épreuve d’effort chez les SVA modérées asymptomatiques. L’utilisation de la réponse du QT à l’effort pourrait être bénéfique pour l’optimisation de la stratification du risque chez ces patients.

Refractive index dispersion measurement on nonlinear optical polymer using V-prism refractometer

By using V-prism refractometer, the refractive indices of a polyetherketone (PEK-c) guest-host polymer system were measured with the polymer in solutions. The Lorenz-Lorentz local field formalism was used in the calculation of the refractive indices of the polymers from the measured indices of the polymer solutions and the pure solvent by using V-prism refractometer. The refractive index dispersions of the polymers were obtained by fitting the measured indices of the polymers to Sellmeyer equation. The method allows for an accuracy in index of 0.7% in the determination of the polymer indices. In addition, a large difference between the indices of the polymer and the solvent, and a higher polymer volume fraction in the measured polymer solution are favorable for a high accuracy. (C) 2000 Elsevier Science Ltd. All rights reserved.

Simulations of pollutant dispersion at toll plazas using three-dimensional CFD models

Toll plazas are particularly susceptible to build-ups of vehicle-emitted pollutants because vehicles pass through in low gear. To look at this, three-dimensional computational fluid dynamics simulations of pollutant dispersion are used on the standard k e turbulence model. The effects of wind speed, wind direction and topography on pollutant dispersion were discussed. The Wuzhuang toll plaza on the Hefei-Nanjing expressway is considered, and the effects of the retaining walls along both sides of the plaza on pollutant dispersion is analysed. There are greater pollutant concentrations near the tollbooths as the angle between the direction of the wind and traffic increases implying that retaining walls impede dispersion. The slope of the walls has little influence on the variations in pollutant concentration.

Difference and dispersion : educational research in a postmodern context

Difference and Dispersion is the fourth in a series of annual research papers produced by doctoral students from The Graduate School of Education, The University of Queensland, following their presentation at the School’s annual Postgraduate Research Conference in Education. The work featured herein celebrates the diversity of cultural and disciplinary backgrounds of education researchers who come from as far afield as Germany, Hong Kong, China, Nigeria, Russia, Singapore, Thailand and of course different parts of Australia. In keeping with a postmodern epistemology, ‘difference’ and ‘dispersion’ are key themes in apprehending the multiplicity of their research topics, methodologies, methods and speaking/writing positions. From widely differing contexts and situations, these writers address the consequences, implications and possibilities for education at the beginning of the third millennium. Their interest ranges from location-specific issues in schools and classrooms, change in learning contexts and processes, educational discourses and relations of power in diverse geographical settings, and the differing articulations of the local and the global in situated policy contexts. Conceived and developed in a spirit of ongoing dialogue with and insight to alternative views and visions of education and society, this edited collection exemplifies the quality in diversity and the high levels of scholarship and supervision at one of Australia’s finest Graduate Schools of Education.

On the nature of over-dispersion in motor vehicle crash prediction models

Statistical modeling of traffic crashes has been of interest to researchers for decades. Over the most recent decade many crash models have accounted for extra-variation in crash counts—variation over and above that accounted for by the Poisson density. The extra-variation – or dispersion – is theorized to capture unaccounted for variation in crashes across sites. The majority of studies have assumed fixed dispersion parameters in over-dispersed crash models—tantamount to assuming that unaccounted for variation is proportional to the expected crash count. Miaou and Lord [Miaou, S.P., Lord, D., 2003. Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes methods. Transport. Res. Rec. 1840, 31–40] challenged the fixed dispersion parameter assumption, and examined various dispersion parameter relationships when modeling urban signalized intersection accidents in Toronto. They suggested that further work is needed to determine the appropriateness of the findings for rural as well as other intersection types, to corroborate their findings, and to explore alternative dispersion functions. This study builds upon the work of Miaou and Lord, with exploration of additional dispersion functions, the use of an independent data set, and presents an opportunity to corroborate their findings. Data from Georgia are used in this study. A Bayesian modeling approach with non-informative priors is adopted, using sampling-based estimation via Markov Chain Monte Carlo (MCMC) and the Gibbs sampler. A total of eight model specifications were developed; four of them employed traffic flows as explanatory factors in mean structure while the remainder of them included geometric factors in addition to major and minor road traffic flows. The models were compared and contrasted using the significance of coefficients, standard deviance, chi-square goodness-of-fit, and deviance information criteria (DIC) statistics. The findings indicate that the modeling of the dispersion parameter, which essentially explains the extra-variance structure, depends greatly on how the mean structure is modeled. In the presence of a well-defined mean function, the extra-variance structure generally becomes insignificant, i.e. the variance structure is a simple function of the mean. It appears that extra-variation is a function of covariates when the mean structure (expected crash count) is poorly specified and suffers from omitted variables. In contrast, when sufficient explanatory variables are used to model the mean (expected crash count), extra-Poisson variation is not significantly related to these variables. If these results are generalizable, they suggest that model specification may be improved by testing extra-variation functions for significance. They also suggest that known influences of expected crash counts are likely to be different than factors that might help to explain unaccounted for variation in crashes across sites