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  1. 1561

    The impact of a coach-guided personalized depression risk communication program on the risk of major depressive episode: study protocol for a randomized controlled trial by JianLi Wang, Cindy Feng, Mohammad Hajizadeh, Alain Lesage

    Published 2024-12-01
    “…If successful, the coach-guided PDRC will lead to a novel selective prevention program that is closely aligned with the tiered mental health services model, contributing to early prevention of depression and better mental health wellbeing. …”
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    Mathematical Models for Milk Dispatching Problem by Damla Yüksel, Damla Kızılay, Hande Öztop, Sinem Özkan

    Published 2021-10-01
    “…To achieve those objectives, we formulated mixed-integer linear programming (MILP) and constraint programming (CP) models for the problem. …”
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    Ruling Out Brain CT Contraindications prior to Intravenous Thrombolysis: Diagnostic Equivalence between a Primary Interpretation Workstation and a Mobile Tablet Computer by Antonio J. Salazar, Nicolás Useche, Manuel Granja, Aníbal J. Morillo, Sonia Bermúdez

    Published 2017-01-01
    “…The aim of this study was to evaluate the equivalence of brain CT interpretations performed using a diagnostic workstation and a mobile tablet computer, in a telestroke service. Materials and Methods. …”
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    Fully Data-Driven but Interpretable Human Behavioural Modelling With Differentiable Discrete Choice Model by Fumiyasu Makinoshima, Tatsuya Mitomi, Fumiya Makihara, Eigo Segawa

    Published 2025-01-01
    “…Comprehensive experiments with both synthetic and real-world data demonstrate that Diff-DCM can be applied to various types of data and requires only a small amount of computational resources for the estimations, which can be completed within tens of seconds on a laptop without any accelerators. …”
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  17. 1577

    Efficient Positive Semidefinite Matrix Approximation by Iterative Optimisations and Gradient Descent Method by Vali Asimit, Runshi Wang, Feng Zhou, Rui Zhu

    Published 2025-02-01
    “…The first method converts the PSDisation problem with a positive semidefinite constraint and other linear constraints into iterative Linear Programmings (LPs) or Quadratic Programmings (QPs). The LPs or QPs in our formulation give an upper bound of the optimal solution of the original problem, which can be improved during each iteration. …”
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