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4 results for "Li-Rong Wang"

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  1. Journal Article Full text

    Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning

    Mohammad Neamul Kabir; Li Rong Wang; Wilson Wen Bin Goh

    PLOS Computational Biology, Vol. 21 No. 1 · 2025 · English · PLOS Scopus

    The “similarity of dissimilarities” is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more…

  2. Journal Article Full text

    Effect of Phosphoinositide 3-kinase/Protein Kinase B Signaling Pathway on Cell Apoptosis during Chilled Storage of Tan Sheep Meat

    ZHANG Qian, LUO Ruiming, CHEN Xueyan, LI Rong, WANG Jinxia, HU Lijun

    Shipin Kexue, Vol. 45 No. 9 · 2024 · Chinese · DOAJ Scopus

    The hindleg meat of Tan sheep was injected postmortem with the phosphoinositide 3-kinase (PI3K) inhibitor LY294002 at a concentration of 10 μmol/L and stored at 4 ℃. After 0, 2, 4, 6 and 8 days, the protein expression of PI3K and protein kinase B (AKT) was analyzed by sodium dodecyl…

  3. Journal Article Full text

    Refined Risk Assessment of Rainstorm-Induced Flood Disasters Based on Hazard-Specific Terrain Weighting

    LIU Zhen, ZHAO Liang, WANG Li-rong, WANG Sha, ZHANG Su-yun, SHEN Lu-ming, LI Wei-min

    长江科学院院报, Vol. 43 No. 6 · 2026 · Chinese · DOAJ

    [Objective] Addressing the increasing demands for disaster prevention and mitigation,it is essential not only to enhance the accuracy of rainstorm forecasting but also to assess in advance the potential disaster-causing risks posed by rainstorms. In contrast to evaluation models that rely on…

  4. Journal Article Full text

    Aligning deep learning and interpretable models for blood cell classification: A dual-model framework for explainability

    Magdalene Yeok Yu Cheong; Xinran Xu; Li Rong Wang et al.

    PLOS Digital Health, Vol. 5 No. 7 · 2026 · English · PLOS Scopus

    Blood smear examination involves classifying cells by morphology under a microscope, a labour-intensive process prone to subjective variation. Recent deep learning models achieve strong performance in blood cell classification but remain as “black boxes”, offering little clinical transparency. We…