Showing 1,821 - 1,840 results of 3,694 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm i function ))))', query time: 0.53s Refine Results
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    The gene primer sequences. by Meili Liu (327309)

    Published 2025
    “…Machine learning prioritized four key biomarkers (DUOX2, IDO1, NPY1R, SELL) with high diagnostic performance. scRNA-seq localized these genes predominantly to a pro-inflammatory “Macrophage-High” subpopulation and revealed VEGF-mediated crosstalk with endothelial cells. qRT-PCR confirmed significant expression changes of IDO1 and NPY1R in both RA-like and UC-like inflammation models.…”
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    All models comparison table. by Meili Liu (327309)

    Published 2025
    “…Machine learning prioritized four key biomarkers (DUOX2, IDO1, NPY1R, SELL) with high diagnostic performance. scRNA-seq localized these genes predominantly to a pro-inflammatory “Macrophage-High” subpopulation and revealed VEGF-mediated crosstalk with endothelial cells. qRT-PCR confirmed significant expression changes of IDO1 and NPY1R in both RA-like and UC-like inflammation models.…”
  6. 1826

    Self-Powered Tactile Information Visualization System Based on Triboelectric-Electroluminescent Coupling by Wandi Chen (4774827)

    Published 2025
    “…However, traditional systems typically rely on an external power supply and offer limited functions, which restrict electronic device performance, reliability, and application scope. …”
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    PID gain plot for <i>ϕ</i> dynamics. by Nigatu Wanore Madebo (22146141)

    Published 2025
    “…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …”
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    PID gain plot for <i>ψ</i> dynamics. by Nigatu Wanore Madebo (22146141)

    Published 2025
    “…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …”
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    PID gain plot for <i>θ</i> dynamics. by Nigatu Wanore Madebo (22146141)

    Published 2025
    “…The weights are updated through a gradient descent algorithm minimizing the mean squared error, with a nonlinear sigmoid activation function ensuring adaptability. …”
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    Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies by Haisen Zhou (13017532)

    Published 2025
    “…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …”
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    Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies by Haisen Zhou (13017532)

    Published 2025
    “…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …”
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    Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies by Haisen Zhou (13017532)

    Published 2025
    “…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …”
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    Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection. by Tianyuan Lei (19683861)

    Published 2024
    “…<p><b>(A)</b> Age distribution of longitudinal rsfMRI scans of children. <b>(B)</b> (i) Traditional brain functional connectivity network. …”
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    Antivirus Engines (PowerPoint) by Paul A. Gagniuc (1818325)

    Published 2025
    “…</p><p dir="ltr"><b>References</b></p><p dir="ltr">Paul A. Gagniuc.<i> </i><a href="https://shop.elsevier.com/books/antivirus-engines/gagniuc/978-0-443-32952-4" rel="noreferrer" target="_blank"><i>Antivirus Engines: From Methods to Innovations and Applications</i></a><i>,</i><i> </i>Elsevier Syngress, 2024. pp. 1-656.…”
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    Quantum Chemistry-Guided Machine Learning for Accelerated Design of CO<sub>2</sub>‑Solubilizing Deep Eutectic Solvents by Dingkai Hu (16277547)

    Published 2025
    “…Among various algorithms, CatBoost achieved superior performance (test <i>R</i><sup>2</sup> = 0.9921; RMSE = 0.1152), reducing residual deviation by 72% compared to conventional σ-profile methods. …”
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    Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling by Shan He (121220)

    Published 2025
    “…Herein, 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …”
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