44 research outputs found

    CarriĂšres criminelles collectives : Ă©volution d’une population dĂ©linquante (groupes de motards)

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    Co-offending has not been a major area of research for students of crime careers. This paper, however, offers a preliminary analysis of an extensive set of intelligence files gathered by law enforcement agencies on biker groups over a 14 year period (1974-1988). Data has been collected on size, location, network status, life span and degree of crime involvement of 62 criminally involved adult biker groups having operated in Eastern Canada (Quebec) during that period. Findings show a substantial drop in participating groups. Further, remaining groups have not become larger as shown by the equally substantial drop in the overall core underworld biker population. Alternative explanatory accounts for this overall drop are considered

    Urban Climate, Human behavior & Energy consumption: from LCZ mapping to simulation and urban planning (the MapUCE project)

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    International audienceThe MApUCE project aims to integrate in urban policies and most relevant legal documents quantitative data from urban microclimate, climate and energy.The primary objective of this project is to obtain climate and energy quantitative data from numerical simulations, focusing on urban microclimate and building energy consumption in the residential and service sectors, which represents in France 41% of the final energy consumption. Both aspects are coupled as building energy consumption is highly meteorologically dependent (e.g. domestic heating, air-conditioning) and heat waste impact the Urban Heat Island. We propose to develop, using national databases, a generic and automated method for generating Local Climate Zones (LCZ) for all cities in France, including the urban architectural, geographical and sociological parameters necessary for energy and microclimate simulations.As will be presented, previous projects on adaptation of cities to climate change have shown that human behavior is a very potent level to address energy consumption reduction, as much as urban forms or architectural technologies. Therefore, in order to further refine the coupled urban climate and energy consumption calculations, we will develop within TEB (and its Building Energy Module) a model of energy consumer behavior.The second objective of the project is to propose a methodology to integrate quantitative data in urban policies. Lawyers analyze the potential levers in legal and planning documents. A few “best cases” are also studied, in order to evaluate their performances. Finally, based on urban planning agencies requirements, we will define vectors to include quantified energy-climate data to legal urban planning documents. These vectors have to be understandable by urban planners and contain the relevant information.To meet these challenges, the project is organized around strongly interdisciplinary partners in the following fields: law, urban climate, building energetics, architecture, sociology, geography and meteorology, as well as the national federation of urban planning agencies.In terms of results, the cross-analysis of input urban parameters and urban micro-climate-energy simulated data will be available on-line as standardized maps for each of the studied cities. The urban parameter production tool as well as the models will be available as open-source. LCZ and associated urban (and social!) indicators may be integrated within the WUDAPT database

    Le rÎle de l'activation microgliale via le récepteur TLR2 suite à une ischémie cérébrale

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    Suite Ă  un traumatisme cĂ©rĂ©bral, les microglies sont impliquĂ©es dans la rĂ©ponse cellulaire inflammatoire. Le passage de la forme quiescente Ă  la forme activĂ©e des microglies est associĂ© Ă  l’augmentation marquĂ©e du rĂ©cepteur membranaire TLR2 (Toll-like receptor). Le rĂŽle de ce rĂ©cepteur sur la rĂ©cupĂ©ration fonctionnelle Ă  court et Ă  longs termes demeure incertain. C’est pourquoi cette thĂšse a pour but de clarifier la dynamique et le rĂŽle de l’activation des microglies en utilisant le rĂ©cepteur TLR2 comme marqueur suite Ă  une ischĂ©mie cĂ©rĂ©brale transitoire. Pour ce faire, nous avons entre autre utilisĂ© un modĂšle murin gĂ©nĂ©rĂ© dans le laboratoire, la souris TLR2-luc-GFP, pour Ă©tudier de façon longitudinale la rĂ©ponse inflammatoire in-vivo. En premier lieu, l’activation microgliale, suite Ă  la lĂ©sion, a Ă©tĂ© analysĂ©e chez une souris n’exprimant pas le rĂ©cepteur TLR2. Les rĂ©sultats de cette Ă©tude dĂ©montrent que l’absence du rĂ©cepteur TLR2 retarde la rĂ©ponse immunitaire et cause Ă  long terme une augmentation du volume ischĂ©mique. De plus, la perte des rĂ©cepteurs TLR2 corrĂšle avec la baisse des niveaux de IGF-1, un facteur anti-apoptotique et neurotrophique exprimĂ© par les microglies dans la rĂ©gion ischĂ©mique. En deuxiĂšme lieu, nous avons Ă©valuĂ© l’effet de l’environnement sur la rĂ©ponse microgliale suite Ă  une ischĂ©mie cĂ©rĂ©brale induite par photothrombose. Une baisse d’activation microgliale fut mesurĂ©e chez les souris en milieu enrichi et cette diminution est accompagnĂ©e d’une meilleure rĂ©cupĂ©ration fonctionnelle. En troisiĂšme lieu, l’activation microgliale, en absence d’estrogĂšne a Ă©tĂ© analysĂ©e chez une souris ErαKO Ă  la suite d’une ischĂ©mie cĂ©rĂ©brale transitoire. Les rĂ©sultats de cette Ă©tude dĂ©montrent que l’absence du rĂ©cepteur Erα diminue l’activation microgliale. De plus, la voie signalĂ©tique JAK/STAT, via la cytokine IL-6, serait prĂ©fĂ©rentiellement utilisĂ©e chez ces souris au cours de la rĂ©ponse inflammatoire. Finalement, cette thĂšse dĂ©montre l’importance de la microglie dans l’établissement de la rĂ©ponse immunitaire ainsi que dans la rĂ©cupĂ©ration fonctionnelle suite Ă  une ischĂ©mie cĂ©rĂ©brale dans diffĂ©rents modĂšles. GrĂące Ă  une comprĂ©hension plus approfondie des mĂ©canismes inflammatoires, la mise en place de stratĂ©gies thĂ©rapeutiques ne sera que plus efficace.Cerebral ischemia is associated with a strong inflammatory response. Glial activation that ensues contributes to neuronal damage and/or provides trophic support to injured neurons. Activated microglia is one of the key components of the cellular response to CNS injuries and the passage from the quiescent to reactive microglia is associated with an upregulation of a membrane receptor called the toll-like receptor 2 (TLR2). Although upregulation of TLR2 his known to play a major role in the innate immune response, the functional significance and the dynamics of this response in a model of focal cerebral ischemia is still unclear. Therefore, to further clarify the role of TLR2 after a cerebral ischemia, we developed a model system for in vivo, non-invasive analysis of the TLR2 activation in the brain. This thesis is divided in three distinct chapters. In the first chapter the role of the TLR2 signaling and microglial activation in a TLR2KO mouse was investigated beyond 72 hours. This work clearly demonstrates that the lack of TLR2 affects the neuroinflammatory response causing a delayed exacerbation of the ischemic lesion. Furthermore, TLR2 deficient mice reduced levels of IGF-1, a neurotrophic and antiapoptotic factor express by microglial cells. In the second chapter, we evaluated the effect of environmental enrichement on the inflammatory response after phototrombotic stroke in our TLR2-luc-gfp mice. Study of microglial activation showed that multisensory stimulation attenuated TLR2-induced microglial activation, thus leading to a greater neurological outcome. In the third chapter, we crossed TLR2-luc-gfp mice with ErαKO mice to study the effect of a major oestrogen signalling pathway on microglial activation after cerebral ischemia. The lack of Erα receptor reduced microglial activation in normal female mice as well as oestrogen-deprived mice. Likewise a shift toward the JAK/STAT pathway was observed suggesting its implication in the inflammatory process. Finally this thesis illustrates the significant impact of the microglia on the immune response and the recovery after a cerebral ischemia in different mouse models. With this newly acquired knowledge on inflammatory process the establishment of better therapeutic strategy could only benefit from it

    Reportage chaine You tube " Tous Terriens" Arte, sur l'exploitation de l'agriculteur Alain Krebs, à Suilly-la-Tour, avec les interventions de Stéphane Cordeau sur la plateforme CA-SYS, à BreteniÚre

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    sur l'exploitation de l'agriculteur Alain Krebs« ArrĂȘt du glyphosate : les alternatives en Agriculture de conservation des sols », sur Tous TerriensLes expĂ©rimentations conduites au sein de la plateforme CA-SYS et dans le rĂ©seau de ses agriculteurs partenaires pour tester les alternatives au glyphosate sont mises Ă  l’honneur dans ce reportage signĂ© du journaliste Pierre Girard (Xenius, sur Arte) pour sa chaĂźne YouTube « Tous Terriens ».Voir ici le reportage sur l'exploitation de l'agriculteur Alain Krebs, Ă  Suilly-la-Tour, avec les interventions de StĂ©phane Cordeau sur la plateforme CA-SYS, Ă  BreteniĂšre

    Using coupled hidden markov chains to estimate colonization and seed bank survival in a metapopulation of annual plants

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    International audienceThe study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables.Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data.This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data
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