37 resultados para ad-hoc networks distributed algorithms atomic distributed shared memory


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Cette thèse est construite en quatre parties : trois annexes qui présentent six études de cas (env. 800 pages), précédées par une analyse transversale, plus synthétique (env. 150 pages), dont traite ce résumé. Chaque annexe contient une synthèse détaillée des études de cas. Cette thèse aborde la « gestion des ressources naturelles » en affirmant d'emblée que l'appellation est inappropriée, car ce ne sont pas les ressources qui sont gérées, mais leurs usages. Il s'agit donc d'identifier et d'analyser ce qui influence les comportements humains en lien avec la ressource. Cette affirmation fonde la perspective des sciences sociales sur la gestion des ressources naturelles, dans laquelle s'inscrit cette thèse. L'approche néo-institutionnaliste considère que les usages sont influencés par des institutions, qui sont elles-mêmes influencées par les usagers. Ces institutions sont des constructions humaines qui composent le contexte institutionnel dans lequel les acteurs décident de leurs usages (abattre un arbre, prélever de l'eau, etc.). Les usages des ressources ne sont donc jamais libres et il s'agit de comprendre comment ces règles du jeu influencent les pratiques. Elles sont nombreuses, interdépendantes et forment la trame sur laquelle se décident les usages. Pour saisir cette complexité, l'auteur applique le cadre d'analyse des régimes institutionnels des ressources (RIR) qui se limite à l'analyse de deux types de droits d'usages : ceux issues des règles de la propriété (titres de propriété, servitudes, etc.) et ceux issus des politiques publiques (lois, ordonnances, etc.). Le RIR permet d'identifier un « régime institutionnel », spécifique à la ressource étudiée, dont les évolutions peuvent être comparées dans le temps ou entre plusieurs lieux. Dans cette recherche, ce cadre d'analyse a été appliqué au même objet - la gestion forestière dans les zones de captage d'eau souterraine destinée au réseau public - dans trois pays : en France, en Suisse et en Indonésie. Trois années de recherche de terrain ont permis à l'auteur de s'intéresser non seulement aux règles prédéterminées (la réglementation), mais aussi aux règles effectivement activées sur le terrain (la régulation) par les acteurs rencontrés. Les études de cas montrent que les règles prévues sont inégalement activées et que les acteurs privilégient parfois la négociation directe pour résoudre leurs rivalités d'usages, à la place d'invoquer leurs droits acquis. Ce constat conduit l'auteur à proposer un élargissement de la focale du RIR, qui constitue le coeur de sa thèse. On ne s'intéresse plus seulement à ce qui « est » régulé, mais aussi à ce qui ne l'« est pas » et qui échappe à l'application classique du RIR. Ce renversement de perspective est crucial pour comprendre les usages concrets des ressources dans les régimes peu intégrés, où les pratiques s'expliquent davantage par la marge de manoeuvre laissée aux acteurs que par les règles prédéterminées. Cette relecture, testée avec succès dans cette thèse, permet d'intégrer la marge de manoeuvre à l'analyse au moyen du RIR. Elle se concrétise par l'identification des lacunes et incohérences dans les régimes institutionnels étudiés. Le champ d'application du RIR s'en trouve élargi et sa vulgarisation pour des non-spécialistes est facilitée, notamment pour les environnementalistes. La complémentarité entre les approches s'en trouve renforcée. Les résultats montrent deux choses : premièrement les acteurs disposent toujours d'une marge de manoeuvre pour négocier des régulations ponctuelles, qui sont autant d'alternatives à l'application des règles prévues. Deuxièmement, la conclusion d'accords issus de la négociation bi-/multilatérale dépend directement de la marge de manoeuvre laissée par le contexte institutionnel. Ceci explique pourquoi la négociation entre les propriétaires forestiers et les exploitants de captages s'imposent en Indonésie, est envisageable en France, mais n'aboutit pas en Suisse. Les nombreuses tentatives infructueuses de mise en oeuvre de solutions négociées, notamment sous forme de paiements pour services environnementaux (PSE), trouvent ici une explication. - This thesis (written in French) is built in four parts: three annexes that present six case studies (approx. 800 pages), preceded by a transverse, more conceptual analysis (approx. 150 pages), which this summary is about. Each annexe contains a detailed summary of the case studies. 'Natural resource management' is an inappropriate designation because it is not the resources that are managed but the uses made of them, therefore this thesis addresses the identification and analysis of the influences on human behaviour in relation to the resource. This statement roots the social sciences perspective on the management of natural resources, in which this thesis fits. A neoinstitutionalist approach considers that the uses are influenced by institutions, which are themselves influenced by users. These institutions are human constructions that form the institutional context in which the actors decide on the use of resources (felling a tree, collecting water, etc.). Thus, the uses of resources are never independent from institutional influences and it becomes necessary to understand how these rules of the game affect practices. They are numerous, interrelated and form the basis for the uses of resources. To understand this complexity, the author applies the institutional regime resource framework (IRR) which limits the analysis to two types of use rights: those resulting from the property rights (deeds, easements, etc.) and those from public policies (laws, ordinances, etc.). The IRR identifies an 'institutional regime', specific to the resource, from which developments can be compared over time or between several places. In this research, this analytical framework has been applied to the same topic - forest management in the recharging areas of groundwater piped for public supply - in three countries: France, Switzerland and Indonesia. Three years of field research allow the author to look not only at predetermined rules (rules), but also at regulations that are actually activated on the ground (rules-in-use). The case studies show that the predetermined rules are unevenly applied and that sometimes actors favour direct negotiation to resolve their rivalry of uses, instead of invoking their vested rights. From this observation the author proposes an enlargement of the IRR's scope, forming the core of his thesis. The interest covers not only what 'is' regulated, but what 'is not' and so is beyond the classical application of the IRR. This shift in perspective is crucial to understand the concrete uses of resources in poorly integrated regimes, where practices are explained by the margin of manoeuvre left to the actors rather than predetermined rules. This reinterpretation, tested successfully in this research, allows the margin of manoeuvre to be integrated in the analysis using the IRR and is made concrete by the identification of gaps and inconsistencies in the investigated institutional context. The new interpretation of the IRR in this thesis complements and enhances its classical application. In particular, its use and understanding by non-specialists, especially environmentalists, is facilitated. The results show two things: first the actors always have leeway to negotiate ad hoc regulations, which are alternatives to the application of the predefined rules. Second, the conclusion of bi/multilateral negotiated agreements depends directly on the leeway left by the institutional context. This explains why the negotiation between forest owners and operators of water catchments is needed in Indonesia, is possible in France, but does not succeed in Switzerland. This offers an explanation for many unsuccessful attempts to implement negotiated solutions, notably payments for environmental services (PES).

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The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.

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Adolescent health surveys, like those for other segments of the population, tend to remain in the hands of researchers, where they can have no real impact on the way critical health issues are dealt with by policy makers or other professionals directly connected to young people in their everyday work. This paper reviews important issues concerning the dissemination of survey results among professionals from various fields. The content, length and wording of the messages should be tailored to the audience one wants to reach as well as the type of channels used for their diffusion. Survey data sets can be used to select priorities for interventions: ad hoc presentations, attractive summaries and brochures, or even films expressing young peoples' opinions have been used by European public health professionals to make data sets usable in various local, regional and national contexts. CONCLUSION: The impact of these diffusion strategies is, however, difficult to assess and needs to be refined. The adequate delivery of survey findings as well as advocacy and lobbying activities require specific skills which can be endorsed by specialized professionals. Ultimately, it is the researchers' responsibility to ensure that such tasks are effectively performed.

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Many studies show strong variation of health consumption between regions, suggesting that theses variations are related to the uncertainty of medical practice or to other factors related to health services or patients attitude. However the statistical interpretation of these variations is far from easy: apart from usual and specific information bias, there are statistical problems when observing incidence of events like health care consumption: it is in fact a rare event, which is observed within small population, and among regions with unequal number of person. Therefore, most of the variation reported might be well explained by a purely statistical phenomenon. This paper presents some aspects of this variability for three common indicators of variation, and suggest the use of ad hoc simulation to get statistical criteria.

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Interpretability and power of genome-wide association studies can be increased by imputing unobserved genotypes, using a reference panel of individuals genotyped at higher marker density. For many markers, genotypes cannot be imputed with complete certainty, and the uncertainty needs to be taken into account when testing for association with a given phenotype. In this paper, we compare currently available methods for testing association between uncertain genotypes and quantitative traits. We show that some previously described methods offer poor control of the false-positive rate (FPR), and that satisfactory performance of these methods is obtained only by using ad hoc filtering rules or by using a harsh transformation of the trait under study. We propose new methods that are based on exact maximum likelihood estimation and use a mixture model to accommodate nonnormal trait distributions when necessary. The new methods adequately control the FPR and also have equal or better power compared to all previously described methods. We provide a fast software implementation of all the methods studied here; our new method requires computation time of less than one computer-day for a typical genome-wide scan, with 2.5 M single nucleotide polymorphisms and 5000 individuals.

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This paper examines the application of the guidelines for evidence-based treatments in family therapy developed by Sexton and collaborators to a set of treatment models. These guidelines classify the models using criteria that take into account the distinctive features of couple and family treatments. A two-step approach was taken: (1) The quality of each of the studies supporting the treatment models was assessed according to a list of ad hoc core criteria; (2) the level of evidence of each treatment model was determined using the guidelines. To reflect the stages of empirical validation present in the literature, nine models were selected: three models each with high, moderate, and low levels of empirical validation, determined by the number of randomized clinical trials (RCTs). The quality ratings highlighted the strengths and limitations of each of the studies that provided evidence backing the treatment models. The classification by level of evidence indicated that four of the models were level III, "evidence-based" treatments; one was a level II, "evidence-informed treatment with promising preliminary evidence-based results"; and four were level I, "evidence-informed" treatments. Using the guidelines helped identify treatments that are solid in terms of not only the number of RCTs but also the quality of the evidence supporting the efficacy of a given treatment. From a research perspective, this analysis highlighted areas to be addressed before some models can move up to a higher level of evidence. From a clinical perspective, the guidelines can help identify the models whose studies have produced clinically relevant results.

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Forensic experts play a major role in the legal process as they offer professional expert opinion and evidence within the criminal justice system adjudicating on the innocence or alleged guilt of an accused person. In this respect, medico-legal examination is an essential part of the investigation process, determining in a scientific way the cause(s) and manner of unexpected and/or unnatural death or bringing clinical evidence in case of physical, psychological, or sexual abuse in living people. From a legal perspective, these types of investigation must meet international standards, i.e., it should be independent, effective, and prompt. Ideally, the investigations should be conducted by board-certified experts in forensic medicine, endowed with a solid experience in this field, without any hierarchical relationship with the prosecuting authorities and having access to appropriate facilities in order to provide forensic reports of high quality. In this respect, there is a need for any private or public national or international authority including non-governmental organizations seeking experts qualified in forensic medicine to have at disposal a list of specialists working in accordance with high standards of professional performance within forensic pathology services that have been successfully submitted to an official accreditation/certification process using valid and acceptable criteria. To reach this goal, the National Association of Medical Examiners (NAME) has elaborated an accreditation/certification checklist which should be served as decision-making support to assist inspectors appointed to evaluate applicants. In the same spirit than NAME Accreditation Standards, European Council of Legal Medicine (ECLM) board decided to set up an ad hoc working group with the mission to elaborate an accreditation/certification procedure similar to the NAME's one but taking into account the realities of forensic medicine practices in Europe and restricted to post-mortem investigations. This accreditation process applies to services and not to individual practitioners by emphasizing policies and procedures rather than professional performance. In addition, the standards to be complied with should be considered as the minimum standards needed to get the recognition of performing and reliable forensic pathology service.

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Le football féminin est perçu comme un des principaux leviers de développement pour les fédérations sportives nationales et pour l'UEFA que ce soit en termes d'atteinte de nouveaux publics, de marketing et aujourd'hui de valeurs (synonyme d'un football plus « responsable »). Cette proximité entraîne des synergies que nous avons étudiées à partir d'un cadre d'analyse construit de manière ad hoc. Ce cadre s'appuie sur une approche par les stratégies d'acteurs en fonction du contexte national et local et de six domaines du fonctionnement interne des deux sections, masculine et féminine. La collecte des données s'est effectuée dans 14 grands clubs européens mixtes de neuf pays européens disposant de cultures très différentes en matière de football féminin. L'analyse des données permet d'observer trois types de modèles : totalement intégré, globalement intégré et partiellement intégré. Les résultats sont discutés aux regards des théories des ressources et des compétences stratégiques de la responsabilité sociale des organisations. Il est alors possible de poser des hypothèses de logiques de fonctionnement de ces clubs mixtes allant d'un continuum entre recherche de légitimation et exploitation d'un nouveau modèle stratégique et économique.

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Under the influence of intelligence-led policing models, crime analysis methods have known of important developments in recent years. Applications have been proposed in several fields of forensic science to exploit and manage various types of material evidence in a systematic and more efficient way. However, nothing has been suggested so far in the field of false identity documents.This study seeks to fill this gap by proposing a simple and general method for profiling false identity documents which aims to establish links based on their visual forensic characteristics. A sample of more than 200 false identity documents including French stolen blank passports, counterfeited driving licenses from Iraq and falsified Bulgarian driving licenses was gathered from nine Swiss police departments and integrated into an ad hoc developed database called ProfID. Links detected automatically and systematically through this database were exploited and analyzed to produce strategic and tactical intelligence useful to the fight against identity document fraud.The profiling and intelligence process established for these three types of false identity documents has confirmed its efficiency, more than 30% of documents being linked. Identity document fraud appears as a structured and interregional criminality, against which material and forensic links detected between false identity documents might serve as a tool for investigation.

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Payments for Environmental Services (PES) are praised as innovative policy instruments and they influence the governance of forest restoration efforts in two major ways. The first is the establishment of multi-stakeholder agencies as intermediary bodies between funders and planters to manage the funds and to distribute incentives to planters. The second implication is that specific contracts assign objectives to land users in the form of conditions for payments that are believed to increase the chances for sustained impacts on the ground. These implications are important in the assessment of the potential of PES to operate as new and effective funding schemes for forest restoration. They are analyzed by looking at two prominent payments for watershed service programs in Indonesia-Cidanau (Banten province in Java) and West Lombok (Eastern Indonesia)-with combined economic and political science approaches. We derive lessons for the governance of funding efforts (e.g., multi-stakeholder agencies are not a guarantee of success; mixed results are obtained from a reliance on mandatory funding with ad hoc regulations, as opposed to voluntary contributions by the service beneficiary) and for the governance of financial expenditure (e.g., absolute need for evaluation procedures for the internal governance of farmer groups). Furthermore, we observe that these governance features provide no guarantee that restoration plots with the highest relevance for ecosystem services are targeted by the PES

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In Switzerland, 9.1% of the general population accept regular consumption of BZD. In 65-74 years age group, 2% of cases display a high-risk alcohol consumption. Moderate risk consumption is present in 5% of cases. For the BZD, the cognitive difficulties settle in an insidious way; for alcohol, the daily consumption of fairly high quantities may lead to cognitive deterioration. At early stages, alcohol abusers show preserved neuropsychological performances. Gradually, the deficits will affect the remaining cognitive functions and become irreversible. This review indicates that the chronic consumption of alcohol and BZD in old age is at the origin of major clinical difficulties that need ad hoc training both for psychiatrists and general practitioners.

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This paper presents multiple kernel learning (MKL) regression as an exploratory spatial data analysis and modelling tool. The MKL approach is introduced as an extension of support vector regression, where MKL uses dedicated kernels to divide a given task into sub-problems and to treat them separately in an effective way. It provides better interpretability to non-linear robust kernel regression at the cost of a more complex numerical optimization. In particular, we investigate the use of MKL as a tool that allows us to avoid using ad-hoc topographic indices as covariables in statistical models in complex terrains. Instead, MKL learns these relationships from the data in a non-parametric fashion. A study on data simulated from real terrain features confirms the ability of MKL to enhance the interpretability of data-driven models and to aid feature selection without degrading predictive performances. Here we examine the stability of the MKL algorithm with respect to the number of training data samples and to the presence of noise. The results of a real case study are also presented, where MKL is able to exploit a large set of terrain features computed at multiple spatial scales, when predicting mean wind speed in an Alpine region.

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A medical and scientific multidisciplinary consensus meeting was held from 29 to 30 November 2013 on Anti-Doping in Sport at the Home of FIFA in Zurich, Switzerland, to create a roadmap for the implementation of the 2015 World Anti-Doping Code. The consensus statement and accompanying papers set out the priorities for the antidoping community in research, science and medicine. The participants achieved consensus on a strategy for the implementation of the 2015 World Anti-Doping Code. Key components of this strategy include: (1) sport-specific risk assessment, (2) prevalence measurement, (3) sport-specific test distribution plans, (4) storage and reanalysis, (5) analytical challenges, (6) forensic intelligence, (7) psychological approach to optimise the most deterrent effect, (8) the Athlete Biological Passport (ABP) and confounding factors, (9) data management system (Anti-Doping Administration & Management System (ADAMS), (10) education, (11) research needs and necessary advances, (12) inadvertent doping and (13) management and ethics: biological data. True implementation of the 2015 World Anti-Doping Code will depend largely on the ability to align thinking around these core concepts and strategies. FIFA, jointly with all other engaged International Federations of sports (Ifs), the International Olympic Committee (IOC) and World Anti-Doping Agency (WADA), are ideally placed to lead transformational change with the unwavering support of the wider antidoping community. The outcome of the consensus meeting was the creation of the ad hoc Working Group charged with the responsibility of moving this agenda forward.

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We present a new framework for large-scale data clustering. The main idea is to modify functional dimensionality reduction techniques to directly optimize over discrete labels using stochastic gradient descent. Compared to methods like spectral clustering our approach solves a single optimization problem, rather than an ad-hoc two-stage optimization approach, does not require a matrix inversion, can easily encode prior knowledge in the set of implementable functions, and does not have an ?out-of-sample? problem. Experimental results on both artificial and real-world datasets show the usefulness of our approach.