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    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…This study presents a low-temperature, eco-friendly supercritical-assisted cross-linking (SA-CL) method using supercritical CO<sub>2</sub> and citric acid to optimize and enhance sodium carboxymethyl starch (CMS-Na). …”
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    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…This study presents a low-temperature, eco-friendly supercritical-assisted cross-linking (SA-CL) method using supercritical CO<sub>2</sub> and citric acid to optimize and enhance sodium carboxymethyl starch (CMS-Na). …”
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    Sodium Carboxymethyl Starch Films with Enhanced Cross-Linking, Electrical, and Mechanical Properties via Supercritical-Assisted Modification by Mingge Wang (16859159)

    Published 2025
    “…This study presents a low-temperature, eco-friendly supercritical-assisted cross-linking (SA-CL) method using supercritical CO<sub>2</sub> and citric acid to optimize and enhance sodium carboxymethyl starch (CMS-Na). …”
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    Towards coupling agent-free composites made from regenerated cellulose/HDPE by UV radiation-induced cross-linking by Raja Bade (20550622)

    Published 2025
    “…The primary focus is to establish a cross-linking mechanism between cellulose fibres and polyethylene by applying UV irradiation to a UV-transparent matrix and UV-absorbing fibres. …”
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    Toughening Elastomer while Lowering Hysteresis Using Peptide Cross-Linkers by Wenqing Ji (4229881)

    Published 2025
    “…Therefore, the peptide-cross-linked elastomer exhibits enhanced toughness and simultaneously a lowered hysteresis. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    Sensitivity analysis. by Ying Zhao (16546)

    Published 2025
    Subjects:
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