Showing 4,641 - 4,660 results of 18,466 for search 'significantly ((((((lower decrease) OR (teer decrease))) OR (a decrease))) OR (greater decrease))', query time: 0.60s Refine Results
  1. 4641

    Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …”
  2. 4642

    Hausman test results. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …”
  3. 4643

    Variable’s construction. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …”
  4. 4644

    Moran’s I across countries. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …”
  5. 4645

    Raw dataset. by Sakar Hasan Hamza (20978818)

    Published 2025
    “…<div><p>Despite the significance of economic freedom in tourism dynamics, especially from a spatial standpoint, its nuanced influence remains unexplored mainly in current research. …”
  6. 4646

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  7. 4647

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  8. 4648

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  9. 4649

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  10. 4650

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  11. 4651

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  12. 4652

    Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media by Xueyi Zhang (2019148)

    Published 2025
    “…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
  13. 4653
  14. 4654
  15. 4655
  16. 4656

    Assessment values of machine learning models. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  17. 4657

    List of datasets in AqSolDB. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  18. 4658

    Feature importance derived from SHAP analysis. by Bin Pan (742525)

    Published 2025
    “…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
  19. 4659

    CONSORT diagram. by Bon-Wook Koo (13773694)

    Published 2024
    “…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”
  20. 4660

    Raw data. by Bon-Wook Koo (13773694)

    Published 2024
    “…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”