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    Identification of Critical Signature in Post‐Traumatic Stress Disorder Using Bioinformatics Analysis and in Vitro Analyses by Lifen Liu, Yang Liu, Rui Li, Yue Teng, Shuyang Zhao, Jinhong Chen, Changjiang Li, Xinyu Hu, Lin Sun

    Published 2025-01-01
    “…The MCODE plugin in Cytoscape software was utilized to analyze the protein–protein interaction (PPI) network. …”
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    Estimating Seafloor Topography of the South China Sea Using SWOT Wide-Swath Altimetry Data by Fengshun Zhu, Jinbo Li, Yang Li, Jianqiao Xu, Jinyun Guo, Jiangcun Zhou, Heping Sun

    Published 2025-01-01
    “…The performance of novel wide-swath altimetry in seafloor topography modeling needs to be evaluated. This study utilized 15 cycles of SWOT Level-3 product to construct seafloor topography model of the South China Sea by linear regression analysis. …”
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    DSP: A tool for probabilistic sex diagnosis using worldwide variability in hip-bone measurements by Pascal Murail, Jaroslav Brůžek, Francis Houët, Eugénia Cunha

    Published 2005-12-01
    “…However, we clarify here a certain number of limitations which lower the reliability and ease of application of the usual methods. We propose a new tool—Probabilistic Sex Diagnosis (DSP: Diagnose Sexuelle Probabiliste)—based on a worldwide hip-bone metrical database (2040 adult specimens of known sex from 12 different reference populations). …”
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    Toxicity assessment of DMSO extracts of environmental aged beached plastics using human cell lines by Florane Le Bihanic, Bettie Cormier, Emilie Dassié, Sophie Lecomte, Justine Receveur, Stéphane Le Floch, Jérôme Cachot, Bénédicte Morin

    Published 2025-01-01
    “…Besides the intentional chemical additives, other compounds including residual monomers and non-intentionnaly added substances (NIAS) as well as sorbed pollutants are usually also present in aged plastic. Since most of these substances are only loosely bound to the polymer via non-covalently interactions, i.e., van der Waals forces, they may leach to the surrounding environment. …”
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    Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine by Hang-cheong Wong, Pak-kin Wong, Chi-man Vong

    Published 2012-01-01
    “…An accurate and adaptive model for lambda prediction is essential to effective lambda control for long term. This paper utilizes an emerging technique, relevance vector machine (RVM), to build a reliable time-dependent lambda model which can be continually updated whenever a sample is added to, or removed from, the estimated lambda model. …”
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