Archéologie et espaces (protohistoire, Antiquité)

Philippe Boissinot, maître de conférencesIsabelle Carrère, ingénieur d’étudesPhilippe Marinval, chargé de recherche au CNRS Approches socioanthropologiques de la consommation des sociétés anciennes Enseignement suspendu durant l’année universitaire 2007-2008 Jean-Pierre Albert, directeur d’étudesPhilippe Boissinot, maître de conférences La question de l’identité culturelle entre ethnologie et archéologie Après une introduction des deux animateurs du séminaire précisant les enjeux théoriques d..

Draft genome sequence of Xanthomonas sacchari strain LMG 476

We report the high-quality draft genome sequence of Xanthomonas sacchari strain LMG 476, isolated from sugarcane. The genome comparison of this strain with a previously sequenced X. sacchari strain isolated from a distinct environmental source should provide further insights into the adaptation of this species to different habitats and its evolution. (Résumé d'auteur

A model structure for the Goldman-Millson theorem

By a result of Vallette, we put a sensible model structure on the category of conilpotent Lie coalgebras. This gives us a powerful tool to study the subcategory of Lie algebras obtained by linear dualization, also known as the category of pronilpotent Lie algebras. This way, we recover weaker versions of the celebrated Goldman-Millson theorem and Dolgushev-Rogers theorem by purely homotopical methods. We explore the relations of this procedure with the existent literature, namely the works of Lazarev-Markl and Buijs-F\'elix-Murillo-Tanr\'e.Comment: 20 pages. (v2) fixed formatting of abstract on arXiv, the core text was not touche

Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination

All existing image enhancement methods, such as HDR tone mapping, cannot recover A/D quantization losses due to insufficient or excessive lighting, (underflow and overflow problems). The loss of image details due to A/D quantization is complete and it cannot be recovered by traditional image processing methods, but the modern data-driven machine learning approach offers a much needed cure to the problem. In this work we propose a novel approach to restore and enhance images acquired in low and uneven lighting. First, the ill illumination is algorithmically compensated by emulating the effects of artificial supplementary lighting. Then a DCNN trained using only synthetic data recovers the missing detail caused by quantization

Evidence for PAH Removal Coupled to the First Steps of Anaerobic Digestion in Sewage Sludge

Anaerobic degradation of polycyclic aromatic hydrocarbons has been brought to the fore, but information on removal kinetics and anaerobic degrading bacteria is still lacking. In order to explore the organic micropollutants removal kinetics under anaerobic conditions in regard to the methane production kinetics, the removal rate of 12 polycyclic aromatic hydrocarbons was measured in two anaerobic batch reactors series fed with a highly loaded secondary sludge as growth substrate. The results underscore that organic micropollutants removal is coupled to the initial stages of anaerobic digestion (acidogenesis and acetogenesis). In addition, the organic micropollutants kinetics suggest that the main removal mechanisms of these hydrophobic compounds are biodegradation and/or sequestration depending on the compounds