SIRS Digues V2 : Le logiciel métier coopératif pour les professionnels de la gestion des digues (et cours d'eau)

La collecte et la gestion des données sont de nos jours devenues essentielles. Il est indispensable de pouvoir gérer, ordonner et pérenniser l’information. À l’ère du Big data, la concaténation et la fiabilité des connaissances, associées à une analyse pointue, améliorent grandement l’expertise générale. Par le biais d’une technologie toujours plus pertinente et pointue, la donnée se transforme aujourd’hui en hypothèses, en faits qui permettent de comprendre voire même d’anticiper divers phénomènes et activités. Il y a près de 9 000 km de digues en France. Ces constructions, sont, pour la plupart très anciennes, et la connaissance de leurs caractéristiques reste incomplète. Ainsi La collecte et la gestion des données relatives aux endiguements représentent de véritables enjeux pour leurs gestionnaires. Un besoin de restitution de cette donnée collectée et archivée, est aussi omniprésent. La donnée doit être accessible rapidement afin de procéder à des diagnostics véloces et pertinents, dans l’objectif d’une intervention, au jour le jour, adaptée, mais surtout de bénéficier d’une réactivité opérationnelle face au risque d’inondation. L’outil SIRS digues a été développé par et pour les gestionnaires dans ce sens. Il s’agit d’un logiciel libre dédié à la gestion des digues et des cours d’eau, couplant base données, base documentaire et cartographie interactive. Il fait suite à une première version devenue obsolète qui était utilisé par un nombre restreint de gestionnaires qui souhaitait alors partager cet outil. C’est l’histoire du SIRS dans un premier temps, puis sa description détaillée ainsi que le rôle de France Digues et les perspectives d’avenir, qui seront présentées dans cet écrit

Qualitative modelling and analysis of regulations in multi-cellular systems using Petri nets and topological collections

In this paper, we aim at modelling and analyzing the regulation processes in multi-cellular biological systems, in particular tissues. The modelling framework is based on interconnected logical regulatory networks a la Rene Thomas equipped with information about their spatial relationships. The semantics of such models is expressed through colored Petri nets to implement regulation rules, combined with topological collections to implement the spatial information. Some constraints are put on the the representation of spatial information in order to preserve the possibility of an enumerative and exhaustive state space exploration. This paper presents the modelling framework, its semantics, as well as a prototype implementation that allowed preliminary experimentation on some applications.Comment: In Proceedings MeCBIC 2010, arXiv:1011.005

Rpgrip1 is required for rod outer segment development and ciliary protein trafficking in zebrafish

The authors would like to thank the Royal Society of London, the National Eye Research Centre, the Visual Research Trust, Fight for Sight, the W.H. Ross Foundation, the Rosetrees Trust, and the Glasgow Children’s Hospital Charity for supporting this work. This work was also supported by the Deanship of Scientific Research at King Saud University for funding this research (Research Project) grant number ‘RGP – VPP – 219’.Mutations in the RPGR-interacting protein 1 (RPGRIP1) gene cause recessive Leber congenital amaurosis (LCA), juvenile retinitis pigmentosa (RP) and cone-rod dystrophy. RPGRIP1 interacts with other retinal disease-causing proteins and has been proposed to have a role in ciliary protein transport; however, its function remains elusive. Here, we describe a new zebrafish model carrying a nonsense mutation in the rpgrip1 gene. Rpgrip1homozygous mutants do not form rod outer segments and display mislocalization of rhodopsin, suggesting a role for RPGRIP1 in rhodopsin-bearing vesicle trafficking. Furthermore, Rab8, the key regulator of rhodopsin ciliary trafficking, was mislocalized in photoreceptor cells of rpgrip1 mutants. The degeneration of rod cells is early onset, followed by the death of cone cells. These phenotypes are similar to that observed in LCA and juvenile RP patients. Our data indicate RPGRIP1 is necessary for rod outer segment development through regulating ciliary protein trafficking. The rpgrip1 mutant zebrafish may provide a platform for developing therapeutic treatments for RP patients.Publisher PDFPeer reviewe

Polymer Pipes for Distributing Mixtures of Hydrogen and Natural Gas: Evolution of their Transport and Mechanical Properties after an Ageing under an Hydrogen Environment

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Creep compression behaviour of a polyurethane foam from cryogenic temperatures: size effect and long-term prediction

The objective of this work was to predict the long term behavior of Polyurethane foam (PU) at very low-temperature, by applying the time-temperature superposition principle (TTSP). The experimental background of the TTSP was based on a Dynamical Mechanical Analysis technique. Two issues arise from this experimental approach: the relevance of the temperature range to apply the TTSP, and the possible size-effect associated to the small DMA samples. Firstly, on the studied temperature range (-170°C; +180°C) many transitions have been observed, particularly from -20°C. Thus to apply the TTSP, it would be necessary to limit the temperature range (between temperature of molecular transitions, i.e. from -20°C up to 80°C). At very low temperatures, DMA spectra did not evidence any viscoelastic domain. However a deformation has been measured during creep tests in the same temperature range. So it would be necessary to determine which micro-mechanism is responsible for the observed deformation. Secondly, it was important to determine if the volume of DMA sample was representative. Several techniques have shown that a representative volume would be reached between 8 and 12mm3

« L’évaluation psychologique » en structure d’évaluation et traitement de la douleur chronique : une nouvelle figure de la paradoxalité ?

International audienc

Creep compression behaviour of a polyurethane foam from cryogenic temperatures: size effect and long-term prediction

The objective of this work was to predict the long term behavior of Polyurethane foam (PU) at very low-temperature, by applying the time-temperature superposition principle (TTSP). The experimental background of the TTSP was based on a Dynamical Mechanical Analysis technique. Two issues arise from this experimental approach: the relevance of the temperature range to apply the TTSP, and the possible size-effect associated to the small DMA samples. Firstly, on the studied temperature range (-170°C; +180°C) many transitions have been observed, particularly from -20°C. Thus to apply the TTSP, it would be necessary to limit the temperature range (between temperature of molecular transitions, i.e. from -20°C up to 80°C). At very low temperatures, DMA spectra did not evidence any viscoelastic domain. However a deformation has been measured during creep tests in the same temperature range. So it would be necessary to determine which micro-mechanism is responsible for the observed deformation. Secondly, it was important to determine if the volume of DMA sample was representative. Several techniques have shown that a representative volume would be reached between 8 and 12mm3