L'Écho de Paris

1886/03/27 (Numéro 745).

Coislin 352

PHILARAS (Léonard). poésies grecques et latines

Études sur les eaux d'Eugénie-les-Bains,...

Comprend : Observations

Evaluación de impacto y desempeño programa Bogotá emprende

Banco del conocimiento

Science Complex

View of the H Block addition just after its completion.

Gouverner le droit : 100.000 lois ou le défi du complexe

Danièle Bourcier, Directrice de recherche au CNRS, Chercheure au Centre d’études et de recherche de science administrative CERSA, Université Panthéon Assas Paris II

Cadres réglementaires et efficacité économique dans le secteur des pêches : le cas du partage crabiers-homardiers dans le Nord-Est du Nouveau-Brunswick.

Rapport de recherche

Thermal transport across incommensurate phases in potassium selenate: photo-pyroelectric and calorimetric measurements

The thermal transport properties—thermal diffusivity, thermal conductivity and specific heat capacity—of potassium selenate crystal have been measured through the successive phase transitions, following the photo-pyroelectric thermal wave technique. The variation of thermal conductivity with temperature through the incommensurate (IC) phase of this crystal is measured. The enhancement in thermal conductivity in the IC phase is explained in terms of heat conduction by phase modes, and the maxima in thermal conductivity during transitions is due to enhancement in the phonon mean free path and the corresponding reduction in phonon scattering. The anisotropy in thermal conductivity and its variation with temperature are reported. The variation of the specific heat with temperature through the high temperature structural transition at 745 K is measured, following the differential scanning calorimetric method. By combining the results of photo-pyroelectric thermal wave methods and differential scanning calorimetry, the variation of the specific heat capacity with temperature through all the four phases of K2SeO4 is reported. The results are discussed in terms of phonon mode softening during transitions and phonon scattering by phase modes in the IC phase.

Racism through audiovisual techniques. 'El racismo a través de técnicas audiovisuales'.

Unidad didáctica de Inglés elaborada a partir de un tema transversal: el racismo. Este tema crea un clima positivo de respeto y colaboración que facilita el trabajo en equipo. Se resalta el papel que la lengua extranjera tiene como instrumento de comunicación y de cooperación entre los distintos paises y pueblos. La unidad cubre las cuatro detrezas comunicativas: listening, speaking, reading y writing para los niveles superiores de la Enseñanza Secundaria, a través de materiales audiovisuales reales, no creados por el profesorado para la ocasión (publicación audiovisual Speak-up, revista TIME, etc.).

Clustering compositional data trajectories

Our essay aims at studying suitable statistical methods for the clustering of compositional data in situations where observations are constituted by trajectories of compositional data, that is, by sequences of composition measurements along a domain. Observed trajectories are known as “functional data” and several methods have been proposed for their analysis. In particular, methods for clustering functional data, known as Functional Cluster Analysis (FCA), have been applied by practitioners and scientists in many fields. To our knowledge, FCA techniques have not been extended to cope with the problem of clustering compositional data trajectories. In order to extend FCA techniques to the analysis of compositional data, FCA clustering techniques have to be adapted by using a suitable compositional algebra. The present work centres on the following question: given a sample of compositional data trajectories, how can we formulate a segmentation procedure giving homogeneous classes? To address this problem we follow the steps described below. First of all we adapt the well-known spline smoothing techniques in order to cope with the smoothing of compositional data trajectories. In fact, an observed curve can be thought of as the sum of a smooth part plus some noise due to measurement errors. Spline smoothing techniques are used to isolate the smooth part of the trajectory: clustering algorithms are then applied to these smooth curves. The second step consists in building suitable metrics for measuring the dissimilarity between trajectories: we propose a metric that accounts for difference in both shape and level, and a metric accounting for differences in shape only. A simulation study is performed in order to evaluate the proposed methodologies, using both hierarchical and partitional clustering algorithm. The quality of the obtained results is assessed by means of several indices