Background: Biochemical markers for liver fibrosis (FibroTest) and necroinflammatory features (ActiTest) are an alternative to liver biopsy in patients with chronic hepatitis C. Our aim was to assess the inter-laboratory variability of these tests, and their 6 components (γ-glutamyl transpeptidase, alanine aminotransferase, α2-macroglobulin, haptoglobin, apolipoprotein A1, and total bilirubin) and to identify factors associated with this variability.

Abstract. The World Wide Web offers a great availability of heterogeneous educational resources. This suggests the idea that such materials can be re-used in compose courses. In this paper we address this issue by proposing an architecture for composing teaching courses using "the best parts" of heterogeneous educational materials available on the Web. Course composition relies on a simple but effective evaluation methodology which reproduces real techniques used by teachers in composing and improving classroom courses. The final goal of this article is to help the teacher to construct his course until the obtension of a steady course.We present our initial work and discuss about future developments.

The main use of satellite imagery concerns the process of the spectral and spatial dimensions of the data. However, to extract useful information, the temporal dimension also has to be accounted for which increases the complexity of the problem. For this reason, there is a need for suitable data mining techniques for this source of data. In this work, we developed a data mining methodology to extract multidimensional sequential patterns to characterize temporal behaviors. We then used the extracted multidimensional sequences to build a classifier, and show how the patterns help to distinguish between the classes. We evaluated our technique using a real-world dataset containing information about land use in Mali (West Africa) to automatically recognize if an area is cultivated or not. (Résumé d'auteur

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