A plural role for lipids in motor neuron diseases: energy, signaling and structure

Motor neuron diseases (MNDs) are characterized by selective death of motor neurons and include mainly adult-onset amyotrophic lateral sclerosis (ALS) and spinal muscular atrophy (SMA). Neurodegeneration is not the single pathogenic event occurring during disease progression. There are multiple lines of evidence for the existence of defects in lipid metabolism at peripheral level. For instance, hypermetabolism is well characterized in ALS, and dyslipidemia correlates with better prognosis in patients. Lipid metabolism plays also a role in other MNDs. In SMA, misuse of lipids as energetic nutrients is described in patients and in related animal models. The composition of structural lipids in the central nervous system is modified, with repercussion on membrane fluidity and on cell signaling mediated by bioactive lipids. Here, we review the main epidemiologic and mechanistic findings that link alterations of lipid metabolism and motor neuron degeneration, and we discuss the rationale of targeting these modifications for therapeutic management of MNDs

Level of Detail Continuum for Huge Geometric Data

International audienceWe propose a unified solution for the creation of levels of detail on very large input data. We build a hierarchical signed distance function in an octree around the data and use this hierarchy to generate a continuum of levels of detail. Our distance function construction, based on the Gradient Vector Flow and the Poisson equation, builds on multigrid resolution algorithms. Using an appropriate interpolation scheme within the octree we obtain a continuous hierarchical distance function, which allows us to define a continuum of levels of detail for huge geometries. During this process, holes and undersampling issues in the input data are automatically corrected. We present three applications of our hierarchy: a novel hierarchical deformable model scheme that can automatically reconstruct closed Eulerian meshes of up to a million faces in a few minutes, an alternate distance-driven contouring approach, and raytracing of huge data models

A Point-Based Approach for Capture, Display and Illustration of Very Complex Archeological Artefacts

no noteInternational audienceIn this paper we present a complete point-based pipeline for the capture, display and illustration of very large scans of archeological artifacts. This approach was developed as part of a project involving archeologists and computer graphics researchers, working on the Delphi "Dancers Column". We first determined the archeologists' requirements for interactive viewing and documentary illustration. To satisfy these needs we use a compact pointbased structure of the very large data, permitting interactive viewing in 3D. This helps the archeologists to examine and position the fragments. We introduce efficient construction algorithms for this structure, allowing it to be built on limited-memory platforms, such as those available on the field. We also propose a new stylized rendering approach based on an inverse cylindrical projection and 2D skydome rendering. This illustrative style has been used as a planning tool for fragment docking and as a substitute for traditional illustration in an archeological publication. Other uses of these tools are currently under way in the context of this project

The AVuPUR project (Assessing the Vulnerabiliy of Peri-Urbans Rivers): experimental set up, modelling strategy and first results

International audienceLe projet AVuPUR a pour objectif de progresser sur la compréhension et la modélisation des flux d'eau dans les bassins versants péri-urbains. Il s'agit plus particulièrement de fournir des outils permettant de quantifier l'impact d'objets anthropiques tels que zones urbaines, routes, fossés sur les régimes hydrologiques des cours d'eau dans ces bassins. Cet article présente la stratégie expérimentale et de collecte de données mise en ½uvre dans le projet et les pistes proposées pour l'amélioration des outils de modélisation existants et le développement d'outils novateurs. Enfin, nous présentons comment ces outils seront utilisés pour simuler et quantifier l'impact des modifications d'occupation des sols et/ou du climat sur les régimes hydrologiques des bassins étudiés. / The aim of the AVuPUR project is to enhance our understanding and modelling capacity of water fluxes within suburban watersheds. In particular, the objective is to deliver tools allowing to quantify the impact of anthropogenic elements such as urban areas, roads, ditches on the hydrological regime of suburban rivers. This paper presents the observation and data collection strategy set up by the project, and the directions for improving existing modelling tools or proposing innovative ones. Finally, we present how these tools will be used to simulate and quantify the impact of land use and climate changes on the hydrological regimes of the studied catchments

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum

Compressed representation of a partially defined integer function over multiple arguments

In OLAP (OnLine Analitical Processing) data are analysed in an n-dimensional cube. The cube may be represented as a partially defined function over n arguments. Considering that often the function is not defined everywhere, we ask: is there a known way of representing the function or the points in which it is defined, in a more compact manner than the trivial one