14 research outputs found

    The reliability and heritability of cortical folds and their genetic correlations across hemispheres

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    Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65–0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N \u3e 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N \u3e 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences

    The reliability and heritability of cortical folds and their genetic correlations across hemispheres

    Get PDF
    Cortical folds help drive the parcellation of the human cortex into functionally specific regions. Variations in the length, depth, width, and surface area of these sulcal landmarks have been associated with disease, and may be genetically mediated. Before estimating the heritability of sulcal variation, the extent to which these metrics can be reliably extracted from in-vivo MRI must be established. Using four independent test-retest datasets, we found high reliability across the brain (intraclass correlation interquartile range: 0.65-0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis and pooled (total N > 3000); the overall sulcal heritability pattern was correlated to that derived for a large population cohort (N > 9000) calculated using genomic complex trait analysis. Overall, sulcal width was the most heritable metric, and earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations were high, yet select sulci showed incomplete pleiotropy, suggesting hemisphere-specific genetic influences

    A Film Buff’s Paradox: The Evolution of Illusion vs. Reality

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    In this cinematic realm, the concept of illusion vs. reality is a theme that has attracted artistic exploration, and has proven to be an enduring and significant storytelling framework in the realm of contemporary cinema. This theme of illusion vs. reality is witnessed in films from as far back as George Méliès 1902 A Trip to the Moon, to the 1964 version of Mary Poppins, to contemporary offerings such as The Matrix in 1999

    Dashboard proposition for health monitoring of production system in the automotive industry

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    International audienceIn the context of industry 4.0, the predictive maintenance (PdM) approach plays an important role in the optimization of maintenance costs, as breakdowns and over-maintenance costs. Health supervision of production behaviors is one of the critical steps to implement PdM. To do this, specific Maintenance KPIs, called also Health Key Performance indicators (HKPI) must be identified. Furthermore, dealing with real data, finding the right HKPIs, and validating the final proposed solution by the industrial actors, are less seen in theoretical studies. In this paper, based on available historical and real-time data and information, some suitable HKPIs have been proposed, allowing to build the dashboards for monitoring the health state at machine and production system levels. Regarding the variety of real-time data to present in the dashboard, Principal Component Analysis (PCA) method has been applied, allowing to find the most appropriate features. At the production system level, HKPI aggregation and identification of decision levels are rarely studied. We propose also for each HKPI, a suitable decision-level, and an appropriated aggregation methodology. The proposed methodology has been applied to production equipment of the FPT Industrial Company and the results were appreciated by managers

    Software System for Determining the Level of Reliability and Fault-Tolerance of Information Systems

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    This article is written about techniques how to determine the level of fault tolerance of Information Systems (IS). On the basis of the proposed methods and approach, a software system has been developed that makes it possible to determine the reliability of the operation of both individual components of the IS and the entire IS. The proposed approach makes it possible to consider several criteria with various ways of optimization. This makes this approach an effective and powerful tool for applying techniques on how to determine the fault tolerance of Information Systems and its components
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