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algorithm python » algorithms within (Expand Search), algorithm both (Expand Search)
within function » fibrin function (Expand Search), protein function (Expand Search), catenin function (Expand Search)
python function » protein function (Expand Search)
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1824
The gene primer sequences.
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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1825
All models comparison table.
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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1826
Self-Powered Tactile Information Visualization System Based on Triboelectric-Electroluminescent Coupling
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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1827
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1828
PID gain plot for <i>ϕ</i> dynamics.
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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1829
PID gain plot for <i>ψ</i> dynamics.
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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1830
PID gain plot for <i>θ</i> dynamics.
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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1831
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
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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1832
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
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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1833
Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
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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1834
Data information and schematic diagram of the overlapping modular architecture based on the edge-centric module detection.
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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1835
Antivirus Engines (PowerPoint)
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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1836
Quantum Chemistry-Guided Machine Learning for Accelerated Design of CO<sub>2</sub>‑Solubilizing Deep Eutectic Solvents
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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1837
Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling
Published 2025“…Herein, 11 different AI/ML algorithms were used to develop the predictive AI/ML models. …”
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