712 research outputs found

    3-D Imaging Applied To Foot Structures In Walking

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    Pedagogic and coaching experiments have demonstrated that learning and training difficulties encountered by physical education students, athletes and coaches are frequently related to poor or inadequate 3-D visual representation of human body structures and movement. In order to counteract this important shortcoming, a low cost computer platform including an Amiga 3000T computer, preparation software (Imagine and DCTV) and presentation software, has been developed. The purpose of this study was to generate 3-D objects of the ankle-foot structures and to animate these objects in order to accurately illustrate plantar flexion, dorsiflexion, supination and pronation of the foot as a function of the walking cycle. Using anatomical and biomechanical informations available in literature, this 3-D imaging study has succeeded in producing an interactive software permitting individual as well as large group visualisation (with the use of a video projector) of tibia and fibula interactions with talus, as well as movements of tarsal and metatarsal bones during the different support phases in walking. Positions and roles of ligaments have also been illustrated. Subsequent laboratory experiments have demonstrated that intermediate-term retention of knowledge is favored in teaching when using this computer-assisted technique. Actually, in a test-retest situation, intermediate retention decreased by 10.87% when using traditional teaching; the decrease in retention was only a slight 0.450 /0 when using this 3-D imaging program as a visualisation aid. Sports training and coaching have also benefitted from the use of this tool

    Comparing the innovation performance in Canadian, French and German manufacturing enterprises

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    Cette étude compare les performances d'innovation entre le Canada et la France d'une part, et entre le Canada et l'Allemagne d'autre part. La comparaison repose sur deux modèles de probit ordonné avec sélection. Le premier mesure l'innovation par l'introduction sur le marché de produits nouveaux pour la firme, le second par l'introduction de produits nouveaux pour le marché. L'analyse économétrique essaye d'expliquer une partie des différences nationales d'innovation par la composition sectorielle de la production, l'effet taille, les conditions environnementales (proximité de la recherche de base et concurrence) et les activités d'innovation (R-D interne, nombre d'activités innovantes, coopération et support gouvernemental). Les firmes canadiennes tirent avantage de leur plus grande taille et sont plus nombreuses à recevoir du support gouvernemental. Par contre, elles souffrent du manque de concurrence et de R-D interne. Au total, la prise en compte de ces effets structurels est certes révélatrice, mais n'explique qu'une faible partie des différences bilatérales dans les processus d'innovation. La mesure plus forte d'innovation par l'introduction de produits nouveaux pour le marché réduit les différences observées et les explique un peu mieux.This paper compares pairwise the innovation performance of Canada with France and Germany, respectively. The comparison is based on two ordered probit models with sample selection, one where innovation is measured by the introduction of new-to-the firm products and one where it is measured by the introduction of new-to-the market products. The econometric analysis attempts to explain part of the country differences as the result of the sectoral composition of output, and the effects of size, environment conditions (proximity to basic research and competition) and innovation activities (internal R&D, the number of innovation activities, cooperation and government support). The Canadian firms benefit from being larger and more numerous in receiving government support, but suffer from a lack of competition and internal R&D. These structural effects combined, while informative, are not enough to explain a lot of the basic pattern of innovation revealed by the raw data. If we take the stronger measure of first-to-market innovation as a yardstick of innovation, the observed pairwise country differences are less strong, and our model explains a little bit more of the observed differences

    Simulating Fully‐Integrated Hydrological Dynamics in Complex Alpine Headwaters: Potential and Challenges

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    Highly simplified approaches continue to underpin hydrological climate change impact assessments across the Earth's mountainous regions. Fully-integrated surface-subsurface models may hold far greater potential to represent the distinctive regimes of steep, geologically-complex headwater catchments. However, their utility has not yet been tested across a wide range of mountainous settings. Here, an integrated model of two adjacent calcareous Alpine headwaters that accounts for two-dimensional surface flow, three-dimensional (3D) variably-saturated groundwater flow, and evapotranspiration is presented. An energy balance-based representation of snow dynamics contributed to the model's high-resolution forcing data, and a sophisticated 3D geological model helped to define and parameterize its subsurface structure. In the first known attempt to calibrate a catchment-scale integrated model of a mountainous region automatically, numerous uncertain model parameters were estimated. The salient features of the hydrological regime could ultimately be satisfactorily reproduced – over an 11-month evaluation period, the Nash-Sutcliffe efficiency of simulated streamflow at the main gauging station was 0.76. Spatio-temporal visualization of the forcing data and simulated responses further confirmed the model's broad coherence. Presumably due to unresolved local subsurface heterogeneity, closely replicating the somewhat contrasting groundwater level signals observed near to one another proved more elusive. Finally, we assessed the impacts of various simplifications and assumptions that are commonly employed in physically-based modeling – including the use of spatially uniform forcings, a vertically limited model domain, and global geological data products – on key simulated outputs, finding strongly affected model performance in many cases. Although certain outstanding challenges must be overcome if the uptake of integrated models in mountain regions around the world is to increase, our work demonstrates the feasibility and benefits of their application in such complex systems

    Can the evolution of music be analyzed in a quantitative manner?

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    We propose a methodology to study music development by applying multivariate statistics on composers characteristics. Seven representative composers were considered in terms of eight main musical features. Grades were assigned to each characteristic and their correlations were analyzed. A bootstrap method was applied to simulate hundreds of artificial composers influenced by the seven representatives chosen. Afterwards we quantify non-numeric relations like dialectics, opposition and innovation. Composers differences on style and technique were represented as geometrical distances in the feature space, making it possible to quantify, for example, how much Bach and Stockhausen differ from other composers or how much Beethoven influenced Brahms. In addition, we compared the results with a prior investigation on philosophy. Opposition, strong on philosophy, was not remarkable on music. Supporting an observation already considered by music theorists, strong influences were identified between composers by the quantification of dialectics, implying inheritance and suggesting a stronger master-disciple evolution when compared to the philosophy analysis.Comment: 8 pages, 6 figures, added references for sections 1 and 4.C, better mathematical description on section 2. New values and interpretation, now considering a bootstrap metho
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