997 resultados para essai de complémentation de protéines (PCA)


Relevância:

20.00% 20.00%

Publicador:

Resumo:

Le concept de romanisation ne revêt d'utilité que s'il peut être qualifié, et donc analysé en différents « niveaux », afin de comparer les rythmes et les formes du phénomène dans les régions de l'Empire. Avant même de chercher à tenir un discours global sur la romanisation, il faut donc en étudier les multiples aspects de manière spécifique. C'est dans ce cadre que s'inscrit cette thèse de doctorat dont le but est de quantifier et de qualifier l'acculturation des céramiques fines en Gaule interne (200 BC - 50 AD). Fondée sur un corpus de quelques 130 ensembles, provenant de 21 sites urbains localisés entre le centre ouest de la France, l'Auvergne, le Plateau suisse et le Luxembourg, cette étude se caractérise par la mise en place de nouvelles approches méthodologiques, s'appuyant sur le calcul d'un « indice de romanisation » (quantifiant la romanisation d'un ensemble sur une échelle de 1 à 100) et sur l'analyse des modalités du phénomène. L'examen diachronique et cartographique des résultats obtenus montrant de fortes disparités dans les processus d'acculturation des céramiques fines, des niveaux de romanisation ont pu être définis, dont le principal intérêt est d'ouvrir la comparaison avec les autres aspects de l'acculturation des Gaules (instrumentum culinaire, technique de construction, romanisation de l'anthroponymie...). The concept of Romanisation can only be considered useful if it can be qualified and analysed at different levels in order to compare the acculturation rates, frequency and form of the phenomenon among the regions in the Empire. But before an overview of Romanisation can be considered, its multiple aspects must be examined in a specific manner. Among the French speaking areas, it is only recently that research concerning Gaulish and Roman periods has risked expanding the scope to a supra regional scale. Against this background, the purpose of my doctoral thesis is to examine the qualitative and quantitative aspects of acculturation among Gaulish fine wares (200 BCE - 50 CE). Based on a corpus of 130 assemblages from 21 urban sites from the western centre of France, Auvergne, the Swiss plateau and Luxembourg, the study is characterised by new methodological techniques relying on the calculation of a 'Romanisation index' (quantifying the level of Romanisation of an assemblage on a scale of 1 to 100) and the analysis of the methods of the phenomenon. The diachronic and cartographic examination of the results obtained showed large disparities in the acculturation processes concerning fine wares. The level of Romanisation could be defined, thus allowing a comparison with other aspects of the acculturation process among other aspects of Gaulish culture such as tools, cuisine, construction techniques and Romanisation of anthroponyms.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

Background Nowadays, combining the different sources of information to improve the biological knowledge available is a challenge in bioinformatics. One of the most powerful methods for integrating heterogeneous data types are kernel-based methods. Kernel-based data integration approaches consist of two basic steps: firstly the right kernel is chosen for each data set; secondly the kernels from the different data sources are combined to give a complete representation of the available data for a given statistical task. Results We analyze the integration of data from several sources of information using kernel PCA, from the point of view of reducing dimensionality. Moreover, we improve the interpretability of kernel PCA by adding to the plot the representation of the input variables that belong to any dataset. In particular, for each input variable or linear combination of input variables, we can represent the direction of maximum growth locally, which allows us to identify those samples with higher/lower values of the variables analyzed. Conclusions The integration of different datasets and the simultaneous representation of samples and variables together give us a better understanding of biological knowledge.