989 resultados para Schneider, Jean Georges, 1756-1794?


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Mode of access: Internet.

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This article aims to study the uses of print, especially the Letters on Dancing and Ballets by Jean-Georges Noverre, throughout the emergence of pantomime ballet in the late eighteenth century. Noverre’s discourse is directly associated with a project to revitalize the art of dance. In this sense, books as an object are not only a support for the new aesthetic discourse, but a tool with multiple uses. It simultaneously seeks to modify the spectator’s view of the scene, legitimize the success of the new theatrical genre and value the ballet master profession.

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El presente trabajo trata de dar cuenta de explicar el proceso por el cual la medicina anatomoclínica configurada en Francia durante el siglo XVIII llega y se consolida en Chile durante 1833 a 1843. Par el desarrollo de este objetivo el trabajo consta de dos partes principales. En la primera parte se hace un estudio a profundidad sobre la configuración de la medicina anatomoclínica en Francia durante la Revolución Francesa. Esto nos permite entender que la constitución de esta medicina se da de la mano con la construcción del Estado Nacional francés y, así mismo, que este proceso se caracteriza por un cambio en la mentalidad de lo que significa la enfermedad y la manera en la que el oficio médico es entendido. La segunda parte es un estudio sobre cómo esta medicina llega a Chile y se consolida durante un periodo político particular en el que a la vez se institucionaliza la educación médica, se constituye un Estado Nación Chileno y se evidencia un cambio de los fundamentos de la medicina.

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"Notice des pièces dramatiques pub. sur Charlotte Corday": p. [215] - 222.

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The detection and correction of defects remains among the most time consuming and expensive aspects of software development. Extensive automated testing and code inspections may mitigate their effect, but some code fragments are necessarily more likely to be faulty than others, and automated identification of fault prone modules helps to focus testing and inspections, thus limiting wasted effort and potentially improving detection rates. However, software metrics data is often extremely noisy, with enormous imbalances in the size of the positive and negative classes. In this work, we present a new approach to predictive modelling of fault proneness in software modules, introducing a new feature representation to overcome some of these issues. This rank sum representation offers improved or at worst comparable performance to earlier approaches for standard data sets, and readily allows the user to choose an appropriate trade-off between precision and recall to optimise inspection effort to suit different testing environments. The method is evaluated using the NASA Metrics Data Program (MDP) data sets, and performance is compared with existing studies based on the Support Vector Machine (SVM) and Naïve Bayes (NB) Classifiers, and with our own comprehensive evaluation of these methods.