Search alternatives:
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
lower decrease » teer decrease (Expand Search), we decrease (Expand Search), showed decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
lower decrease » teer decrease (Expand Search), we decrease (Expand Search), showed decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
4881
Hausman test results.
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. …”
-
4882
Variable’s construction.
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. …”
-
4883
Moran’s I across countries.
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. …”
-
4884
Raw dataset.
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. …”
-
4885
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4886
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4887
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4888
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4889
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4890
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4891
Enhanced Reaction Kinetics in Stationary Two-Phase Flow through Porous Media
Published 2025“…The global kinetics initially increase before experiencing a monotonic decrease with significant fluctuations caused by the displacement of the nonwetting phase. …”
-
4892
-
4893
-
4894
Assessment values of machine learning models.
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. …”
-
4895
List of datasets in AqSolDB.
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. …”
-
4896
Feature importance derived from SHAP analysis.
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. …”
-
4897
CONSORT diagram.
Published 2024“…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”
-
4898
Raw data.
Published 2024“…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”
-
4899
Postoperative outcomes.
Published 2024“…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”
-
4900
Postoperative complications.
Published 2024“…</p><p>Conclusions</p><p>GDFT based on SV and CI resulted in a lower net fluid balance than conventional fluid therapy. …”