Action publique concertée et gestion des sports de nature : une ethnographie participative au Conseil général du Bas-Rhin

En France, la décentralisation et la territorialisation de l'action publique ont fait des sports de nature un objet d'action publique légitime en donnant naissance à de nouveaux outils de management public dédiés à la concertation et à la planification des usages de la nature. Nés de l'article 52 de la Loi sur le sport modifiée en 2000, la Commission Départementale des Espaces, Sites et Itinéraires relatifs aux sports de nature (CDESI) et le Plan Départemental des Espaces Sites et Itinéraires relatifs aux sports de nature (PDESI) sont des outils de concertation territoriale dédiés à la gestion publique des sports de nature au niveau départemental. Un enjeu de ce travail tient à l'appréhension des transformations de l'action publique en s'attachant à l'étude des dispositifs de concertation sur les sports de nature. Un deuxième enjeu de ce travail s'attache à mettre en évidence les effets de la concertation en analysant les interactions et les différents modes d'engagements des acteurs au cours de la « chose publique en train de se faire » (Cefaï, 2002). Les acteurs s'engagent non seulement dans la concertation comprise comme une activité sociale faite d'interactions, mais ils s'engagent également dans la concertation en tant que processus d'action publique. Aussi, un autre enjeu de ce travail est d'appréhender les effets de la concertation par une analyse processuelle des engagements (Fillieule, 2004) des acteurs et des organisations. En mobilisant les outils conceptuels de la sociologie interactionniste, de la sociologie pragmatique, ainsi que de la sociologie structuraliste, l'analyse des situations interactionnelles a notamment permis d'identifier les procédures de cadrage et les techniques dramaturgiques mises en oeuvre par les interactants, ainsi que les répertoires argumentatifs mobilisés par ces acteurs pendant l « 'épreuve » de la concertation. Les confrontations des points de vue et les justifications des prises de positions des acteurs peuvent faire évoluer la configuration initiale des jeux d'acteurs même si, pour certains, ces changements ne restent parfois qu'éphémères. Les organisations s'engagent dans la concertation en fonction de la revendication d'une légitimité qui est à comprendre comme une forme militantisme institutionnel s'articulant autour de la valorisation d'une expertise militante, environnementale, institutionnelle, ou encore de leur statut de partenaire institutionnel. In France, decentralization and territorialization of public action have made outdoor sports become an object of public policies justifiable by giving birth to new tools of public management dedicated to the public consultation, the dialogue, and the planning of the uses of the landscapes. Indeed, born of article 52 of the Law on sport modified in 2000, the Departmental committee for Spaces, Sites and Routes relative to natural sports ( CDESI) and the Departmental Plan of Spaces Sites and Routes relative to natural sports ( PDESI) are governance tools dedicated to the public management of outdoor sports for counties. A challenge of this work is to understand the changes of public policy by focusing on the study of mechanisms for consultation on outdoor sports. A second item of this work is to highlight the effects of cooperation by focusing on the analysis of interactions and actor's commitments during the "public thing in the making" (Cefaï, 2002). Actors commit themselves not only in the dialogue included as a social activity made by interactions, but they also take part to the dialogue included as a process of public action. Also, another issue of this work is to understand the effects of consultation by a processual approach of individual commitments (Fillieule, 2004) of actors and organizations. Using the conceptual tools of symbolic interactionism, pragmatic sociology, and structuralist sociology, the analysis of interactional situations has highlighted the framing work and procedures implemented by the interactants, as well as the dramaturgical techniques and argumentative directories which, they mobilize during the "test" of the consultation. Confrontation of viewpoints and justifications of interactants' positions can evolve from their initial configuration sets, even if for some of them these changes are sometimes ephemeral. Organizations involve themselves according to demands of legitimacy which, are to understand as a shape institutional militancy articulating around the valuation of a militant, environmental, institutional expertise, or still around their status of institutional partner.

Reply to "Comment on 'Nature and entropy content of the ordering transitions in RCo2'"

In the previous Comment, Forker and co-workers claim that perturbed angular correlation (PAC) data leave no alternative to the conclusion that the spontaneous magnetization of PrCo2 and NdCo2 undergoes a discontinuous, first-order phase transition at TC. We show here that their claim is in clear contradiction with a wealth of experimental evidence, including our own. Finally, we propose a possible origin for the disagreement between their interpretation of the PAC results and the literature on this subject.

A proteomics approach to decipher the molecular nature of planarian stem cells.

Background In recent years, planaria have emerged as an important model system for research into stem cells and regeneration. Attention is focused on their unique stem cells, the neoblasts, which can differentiate into any cell type present in the adult organism. Sequencing of the Schmidtea mediterranea genome and some expressed sequence tag projects have generated extensive data on the genetic profile of these cells. However, little information is available on their protein dynamics. Results We developed a proteomic strategy to identify neoblast-specific proteins. Here we describe the method and discuss the results in comparison to the genomic high-throughput analyses carried out in planaria and to proteomic studies using other stem cell systems. We also show functional data for some of the candidate genes selected in our proteomic approach. Conclusions We have developed an accurate and reliable mass-spectra-based proteomics approach to complement previous genomic studies and to further achieve a more accurate understanding and description of the molecular and cellular processes related to the neoblasts.

Nurture versus nature: long-term impact of forced right-handedness on structure of pericentral cortex and basal ganglia.

Does a conflict between inborn motor preferences and educational standards during childhood impact the structure of the adult human brain? To examine this issue, we acquired high-resolution T1-weighted magnetic resonance scans of the whole brain in adult "converted" left-handers who had been forced as children to become dextral writers. Analysis of sulcal surfaces revealed that consistent right- and left-handers showed an interhemispheric asymmetry in the surface area of the central sulcus with a greater surface contralateral to the dominant hand. This pattern was reversed in the converted group who showed a larger surface of the central sulcus in their left, nondominant hemisphere, indicating plasticity of the primary sensorimotor cortex caused by forced use of the nondominant hand. Voxel-based morphometry showed a reduction of gray matter volume in the middle part of the left putamen in converted left-handers relative to both consistently handed groups. A similar trend was found in the right putamen. Converted subjects with at least one left-handed first-degree relative showed a correlation between the acquired right-hand advantage for writing and the structural changes in putamen and pericentral cortex. Our results show that a specific environmental challenge during childhood can shape the macroscopic structure of the human basal ganglia. The smaller than normal putaminal volume differs markedly from previously reported enlargement of cortical gray matter associated with skill acquisition. This indicates a differential response of the basal ganglia to early environmental challenges, possibly related to processes of pruning during motor development.

High-throughput SELEX SAGE method for quantitative modeling of transcription-factor binding sites.

The ability to determine the location and relative strength of all transcription-factor binding sites in a genome is important both for a comprehensive understanding of gene regulation and for effective promoter engineering in biotechnological applications. Here we present a bioinformatically driven experimental method to accurately define the DNA-binding sequence specificity of transcription factors. A generalized profile was used as a predictive quantitative model for binding sites, and its parameters were estimated from in vitro-selected ligands using standard hidden Markov model training algorithms. Computer simulations showed that several thousand low- to medium-affinity sequences are required to generate a profile of desired accuracy. To produce data on this scale, we applied high-throughput genomics methods to the biochemical problem addressed here. A method combining systematic evolution of ligands by exponential enrichment (SELEX) and serial analysis of gene expression (SAGE) protocols was coupled to an automated quality-controlled sequence extraction procedure based on Phred quality scores. This allowed the sequencing of a database of more than 10,000 potential DNA ligands for the CTF/NFI transcription factor. The resulting binding-site model defines the sequence specificity of this protein with a high degree of accuracy not achieved earlier and thereby makes it possible to identify previously unknown regulatory sequences in genomic DNA. A covariance analysis of the selected sites revealed non-independent base preferences at different nucleotide positions, providing insight into the binding mechanism.

Comparative performance of supertree algorithms in large data sets using the soapberry family (Sapindaceae) as a case study.

For the last 2 decades, supertree reconstruction has been an active field of research and has seen the development of a large number of major algorithms. Because of the growing popularity of the supertree methods, it has become necessary to evaluate the performance of these algorithms to determine which are the best options (especially with regard to the supermatrix approach that is widely used). In this study, seven of the most commonly used supertree methods are investigated by using a large empirical data set (in terms of number of taxa and molecular markers) from the worldwide flowering plant family Sapindaceae. Supertree methods were evaluated using several criteria: similarity of the supertrees with the input trees, similarity between the supertrees and the total evidence tree, level of resolution of the supertree and computational time required by the algorithm. Additional analyses were also conducted on a reduced data set to test if the performance levels were affected by the heuristic searches rather than the algorithms themselves. Based on our results, two main groups of supertree methods were identified: on one hand, the matrix representation with parsimony (MRP), MinFlip, and MinCut methods performed well according to our criteria, whereas the average consensus, split fit, and most similar supertree methods showed a poorer performance or at least did not behave the same way as the total evidence tree. Results for the super distance matrix, that is, the most recent approach tested here, were promising with at least one derived method performing as well as MRP, MinFlip, and MinCut. The output of each method was only slightly improved when applied to the reduced data set, suggesting a correct behavior of the heuristic searches and a relatively low sensitivity of the algorithms to data set sizes and missing data. Results also showed that the MRP analyses could reach a high level of quality even when using a simple heuristic search strategy, with the exception of MRP with Purvis coding scheme and reversible parsimony. The future of supertrees lies in the implementation of a standardized heuristic search for all methods and the increase in computing power to handle large data sets. The latter would prove to be particularly useful for promising approaches such as the maximum quartet fit method that yet requires substantial computing power.

A bio-inspired agent-based programming environment for pervasive platforms

Abstract in English : Ubiquitous Computing is the emerging trend in computing systems. Based on this observation this thesis proposes an analysis of the hardware and environmental constraints that rule pervasive platforms. These constraints have a strong impact on the programming of such platforms. Therefore solutions are proposed to facilitate this programming both at the platform and node levels. The first contribution presented in this document proposes a combination of agentoriented programming with the principles of bio-inspiration (Phylogenesys, Ontogenesys and Epigenesys) to program pervasive platforms such as the PERvasive computing framework for modeling comPLEX virtually Unbounded Systems platform. The second contribution proposes a method to program efficiently parallelizable applications on each computing node of this platform. Résumé en Français : Basée sur le constat que les calculs ubiquitaires vont devenir le paradigme de programmation dans les années à venir, cette thèse propose une analyse des contraintes matérielles et environnementale auxquelles sont soumises les plateformes pervasives. Ces contraintes ayant un impact fort sur la programmation des plateformes. Des solutions sont donc proposées pour faciliter cette programmation tant au niveau de l'ensemble des noeuds qu'au niveau de chacun des noeuds de la plateforme. La première contribution présentée dans ce document propose d'utiliser une alliance de programmation orientée agent avec les grands principes de la bio-inspiration (Phylogénèse, Ontogénèse et Épigénèse). Ceci pour répondres aux contraintes de programmation de plateformes pervasives comme la plateforme PERvasive computing framework for modeling comPLEX virtually Unbounded Systems . La seconde contribution propose quant à elle une méthode permettant de programmer efficacement des applications parallélisable sur chaque noeud de calcul de la plateforme