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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. …”
  7. 127

    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. …”
  8. 128

    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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    Table 8_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  11. 131

    Table 5_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  12. 132

    Table 4_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  13. 133

    Table 1_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  14. 134

    Table 6_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  15. 135

    Table 3_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  16. 136

    Table 9_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  17. 137

    Table 7_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
  18. 138

    Table 2_Data-driven intelligent productivity prediction model for horizontal fracture stimulation.xlsx by Qian Li (114642)

    Published 2025
    “…Finally, during fracturing design, the optimal productivity prediction model was matched to each interval based on its characteristics to predict post-fracturing productivity. …”
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