114 research outputs found

    Computational Complexity versus Statistical Performance on Sparse Recovery Problems

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    We show that several classical quantities controlling compressed sensing performance directly match classical parameters controlling algorithmic complexity. We first describe linearly convergent restart schemes on first-order methods solving a broad range of compressed sensing problems, where sharpness at the optimum controls convergence speed. We show that for sparse recovery problems, this sharpness can be written as a condition number, given by the ratio between true signal sparsity and the largest signal size that can be recovered by the observation matrix. In a similar vein, Renegar's condition number is a data-driven complexity measure for convex programs, generalizing classical condition numbers for linear systems. We show that for a broad class of compressed sensing problems, the worst case value of this algorithmic complexity measure taken over all signals matches the restricted singular value of the observation matrix which controls robust recovery performance. Overall, this means in both cases that, in compressed sensing problems, a single parameter directly controls both computational complexity and recovery performance. Numerical experiments illustrate these points using several classical algorithms.Comment: Final version, to appear in information and Inferenc

    DELUSIONAL PARASITOSIS TREATED BY ATYPICAL ANTIPSYCHOTIC AND SELECTIVE SEROTONIN REUPTAKE INHIBITOR: A CASE REPORT

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    Background: Delusional parasitosis (DP) is an uncommon psychiatric disorder. Patients suffering from this disorder have the fixed false belief of being infested by a parasite. Because of this condition, patients mainly consult with dermatologists or general practitioners. They are often reluctant to see a psychiatrist and to take treatment with antipsychotics because of their belief. The following describes the case of a woman who has the particularity that the DP started a few days after sertraline interruption. This situation raises the question of the impact of the sertraline interruption on pruritus and its role as a trigger of DP. Subjects and methods: Case report description and research on medline, pubmed with the keyword: delusional parasitosis, Ekbom syndrome, pruritus, SSRI. Results: Any other pathology that could explain the patient’s symptomatology was excluded which allows us to diagnose this patient with DP. The disappearance of the symptoms was obtained with 200 mg of sertraline and 2 mg of risperidone. It appears that pruritus can be favored by cutaneous dryness due to age and anxiety. Symptoms of discontinuation of SSRIs may include anxiety and paresthesia. Conclusions: The main hypothesis explaining the onset of DP would be the raise of paresthesia followed by the interruption of sertraline (discontinuation symptom) on a favorable field, which means an elderly woman of an anxious nature and having cutaneous dryness. It therefore seems necessary to discuss the discontinuation symptoms at the initiation of a treatment for this kind of patient to avoid false interpretations of skin symptoms such as paresthesia or itching

    The integration of new technologies : the stakes of knowledge

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    In order to remain competitive in an increasingly competitive international context, French companies are forced to follow one or more of various possible routes: relocating some of the activities, optimizing the design and / or production process, or innovate technologically. When they choose to develop new technologies, it is advisable to seek outside expertise in different areas. Thus they must exchange and create knowledge in partnership with other companies. But in order to control and integrate this future technology, we support that the acquisition and the capitalization of the technical training, during the process of innovation, are of primary importance. This article demonstrates that the construction of this knowledge base can be achieved only by formalizing close and rigorous collaboration. To do this, we propose a model of the collaborative process, meant for the leaders of innovative projects to support design.Cifr

    Proof of concept for microarray-based detection of DNA-binding oncogenes in cell extracts

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    The function of DNA-binding proteins is controlled not just by their abundance, but mainly at the level of their activity in terms of their interactions with DNA and protein targets. Moreover, the affinity of such transcription factors to their target sequences is often controlled by co-factors and/or modifications that are not easily assessed from biological samples. Here, we describe a scalable method for monitoring protein-DNA interactions on a microarray surface. This approach was designed to determine the DNA-binding activity of proteins in crude cell extracts, complementing conventional expression profiling arrays. Enzymatic labeling of DNA enables direct normalization of the protein binding to the microarray, allowing the estimation of relative binding affinities. Using DNA sequences covering a range of affinities, we show that the new microarray-based method yields binding strength estimates similar to low-throughput gel mobility-shift assays. The microarray is also of high sensitivity, as it allows the detection of a rare DNA-binding protein from breast cancer cells, the human tumor suppressor AP-2. This approach thus mediates precise and robust assessment of the activity of DNA-binding proteins and takes present DNA-binding assays to a high throughput leve

    Proof of concept for microarray-based detection of DNA-binding oncogenes in cell extracts

    Get PDF
    The function of DNA-binding proteins is controlled not just by their abundance, but mainly at the level of their activity in terms of their interactions with DNA and protein targets. Moreover, the affinity of such transcription factors to their target sequences is often controlled by co-factors and/or modifications that are not easily assessed from biological samples. Here, we describe a scalable method for monitoring protein–DNA interactions on a microarray surface. This approach was designed to determine the DNA-binding activity of proteins in crude cell extracts, complementing conventional expression profiling arrays. Enzymatic labeling of DNA enables direct normalization of the protein binding to the microarray, allowing the estimation of relative binding affinities. Using DNA sequences covering a range of affinities, we show that the new microarray-based method yields binding strength estimates similar to low-throughput gel mobility-shift assays. The microarray is also of high sensitivity, as it allows the detection of a rare DNA-binding protein from breast cancer cells, the human tumor suppressor AP-2. This approach thus mediates precise and robust assessment of the activity of DNA-binding proteins and takes present DNA-binding assays to a high throughput level

    European collaborative efforts to achieve effective, safe, and cost-controlled dismantling of nuclear facilities

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    This paper aims to give an overview of very recent European coordinate efforts to implement technologies of the “4.0 Industry” in the nuclear deconstruction sector. This objective aims to benefit from the lever of efficiency and reliability represented by innovative technologies on all the value chain of the dismantling, from early characterization to the dismantling operations themselves through engineering studies, waste management, project management and coordination of multiple stakeholders of each project. The outcomes of five projects (INNO4GRAPH, LD-SAFE, PLEIADES, CLEANDEM and INSIDER) are summarized here. They result in a unique data and knowledge common base, as well as in a significant sharing of experience based on dismantling projects already carried out or to come. They also result in designing new tools or methods natively taking into account the needs of a maximum of dismantling operators, as well as new test facilities. This will allow the undertaken joint work and collaboration to be continued. All of this paves the way to further collaborative projects and developments, in order to continue to implement reliable new technologies and processes in European dismantling projects to make future dismantling operations more efficient, safer and more cost-effective

    Event-by-event reconstruction of the shower maximum XmaxX_{\mathrm{max}} with the Surface Detector of the Pierre Auger Observatory using deep learning

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    Reconstruction of Events Recorded with the Water-Cherenkov and Scintillator Surface Detectors of the Pierre Auger Observatory

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    Status and performance of the underground muon detector of the Pierre Auger Observatory

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