239 research outputs found

    Étude descriptive et comparative d’une population d’adolescents agresseurs sexuels

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    This article presents the results of a descriptive and comparative study of 37 adolescents guilty of sexual agression. These youths had been admitted to a medium security psychiatric hospital for an evaluation of their sexual problem by specialists. None of them received a psychiatric diagnosis. The results are presented for the entire group but the latter was divided into two, based on the criterion of the age of the victim (agressors against children, agressors against adults). There were numerous significant differences observed between the two groups whereas many similarities were noted with groups of adult agressors (agressors against children and agressors against women)

    Scalable adaptive label propagation in Grappa

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    Nodes of a social graph often represent entities with specific labels, denoting properties such as age-group or gender. Design of algorithms to assign labels to unlabeled nodes by leveraging node-proximity and a-priori labels of seed nodes is of significant interest. A semi-supervised approach to solve this problem is termed ``LPA-Label Propagation Algorithm'' where labels of a subset of nodes are iteratively propagated through the network to infer yet unknown node labels. While LPA for node labelling is extremely fast and simple, it works well only with an assumption of node-homophily -- connected nodes are connected because they must deserve a similar label -- which can often be a misnomer. In this paper we propose a novel algorithm ``Adaptive Label Propagation'' that dynamically adapts to the underlying characteristics of homophily, heterophily, or otherwise, of the connections of the network, and applies suitable label propagation strategies accordingly. Moreover, our adaptive label propagation approach is scalable as demonstrated by its implementation in Grappa, a distributed shared-memory system. Our experiments on social graphs from Facebook, YouTube, Live Journal, Orkut and Netlog demonstrate that our approach not only improves the labelling accuracy but also computes results for millions of users within a few seconds

    Devices and methods for microarray selection

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    The present invention relates to a device for the specific selection of target molecules, comprising: (a) at least one reaction zone comprising a microarray, wherein the microarray comprises a substrate, on which one or more species of capture molecules are immobilized, comprising one or more temperature control and/or regulating units for controlling and/or regulating the temperature within the zone; (b) at least one non-reaction zone comprising one or more temperature control and/or regulating units for controlling and/or regulating the temperature within the zone, which is in fluid connection with the reaction zone; and (c) at least one transportation means capable of generating and/or regulating a fluid flow between said reaction zone (a) and said non-reaction zone comprising one or more temperature control and/or regulating units (b). The present invention further relates to a device for the specific selection of target molecules wherein the immobilized capture molecules are organized in the microarray in the form of spots, elongated spots and/or lines. In a further aspect the present invention relates to a method of specifically selecting target molecules, comprising the introducing a medium to such a device, performing interaction reactions in a reaction zone, transporting not interacted or not bound target molecules to a zone allowing reactivation of the target molecules and performing additional interaction reactions with the reactivated target molecules at the reaction zone, as well as the use of such a device for specifically selecting target molecules, e.g. for target enrichment also referred to as microarray based genome selection (MGS) in the literature

    Failure analysis of a complex system based on partial information about subsystems, with potential applications to aircraft maintenance

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    In many real-life applications (e.g., in aircraft maintenance), we need to estimate the probability of failure of a complex system (such as an aircraft as a whole or one of its subsystems). Complex systems are usually built with redundancy allowing them to withstand the failure of a small number of components. In this paper, we assume that we know the structure of the system, and, as a result, for each possible set of failed components, we can tell whether this set will lead to a system failure. For each component A, we know the probability P(A) of its failure with some uncertainty: e.g., we know the lower and upper bounds P(A) and P(A) for this probability. Usually, it is assumed that failures of different components are independent events. Our objective is to use all this information to estimate the probability of failure of the entire the complex system. In this paper, we describe several methods for solving this problem, including a new efficient method for such estimation based on Cauchy deviates

    Processing of nucleotide sequences

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    The invention relates to a method and an apparatus (100) for the processing of nucleotide sequences. An apparatus (100) according to an embodiment of the invention comprises an array of electrodes (120a,120b,...), wherein at least one nanoball (NB) comprising replications of a nucleotide sequence (1,2) of interest is attached to an electrode to which only one nanoball (NB) of that size can be attached at the same time. Thus a unique association of electrodes (120a,120b,...) to nucleotide sequences (1,2) of interest can be achieved. The nanoballs (NB) are preferably produced by rolling circle amplification. Application of attractive and/or repulsive electric potentials to the electrodes (120a,120b,...) can be used to control the attachment of nanoballs (NB). The measurement of changes in the capacitance of electrodes (120a,120b,...) can be used to detect and monitor the incorporation of mono-or oligonucleotides provided sequentially by different solutions (A, T, G, C) into strands that are replicated in a nanoball (NB) at an electrode
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