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  1. 9761

    Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer. by Héctor Climente-González, Christine Lonjou, Fabienne Lesueur, GENESIS study group, Dominique Stoppa-Lyonnet, Nadine Andrieu, Chloé-Agathe Azencott

    Published 2021-03-01
    “…Many such network methods exist, each arising from different mathematical frameworks, pre-processing steps, and assumptions about the network properties of the susceptibility mechanism. …”
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    DySCo: A general framework for dynamic functional connectivity. by Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico E Turkheimer, Paul Expert

    Published 2025-03-01
    “…Moreover, the dFC community has not been using the most efficient algorithms to compute and process the matrices efficiently, which has prevented dFC from showing its full potential with high-dimensional datasets and/or real-time applications. …”
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  7. 9767

    A framework for cyber threat modeling and risk assessment in smart city environments by Mariya Ouaissa, Mariyam Ouaissa, Zineb Nadifi, Sarah El Himer, Yassine Al Masmoudi, Ali Kartit

    Published 2025-07-01
    “…However, as smart cities increasingly rely on the Internet of Things (IoT), cloud computing, and real-time data processing, they also face an expanded attack surface and growing cybersecurity threats.MethodsThis paper presents a comprehensive threat modeling and risk assessment approach tailored to smart city environments. …”
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    Interleaved single and bursting spiking resonance in neurons. by Cesar C Ceballos, Nourdin Chadly, Eric Lowet, Rodrigo F O Pena

    Published 2025-05-01
    “…Recent work using voltage imaging with genetically encoded voltage indicators has been able to correlate spiking patterns with subthreshold activity in a variety of CA1 neurons, and recent computational models have been able to capture these transitions. …”
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    Reconfigurable optoelectronic neuromorphic properties of MoS2-based memristors decorated with Pt nanoparticles for low power spiking neural network applications by Chrysi Panagopoulou, Panagiotis Bousoulas, Georgia Iliani Papouli, Maria Kainourgiaki, Charalampos Tsioustas, Maria Karnachoriti, Athanassios G Kontos, Dimitris Tsoukalas

    Published 2025-01-01
    “…The intriguing properties of two-dimensional (2D) materials render them attractive for energy efficient neuromorphic computations because their atomic scale thickness can alleviate the power requirements of the device. …”
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    Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

    Published 2025-01-01
    “…Active vision enables dynamic and robust visual perception, offering an alternative to the static, passive nature of feedforward architectures commonly used in computer vision, which depend on large datasets and high computational resources. …”
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  20. 9780