Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
lower decrease » larger decrease (Expand Search), linear decrease (Expand Search), we decrease (Expand Search)
teer decrease » mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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4641
Models 1 to 6: estimation 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. …”
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4642
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. …”
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4643
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. …”
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4644
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. …”
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4645
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. …”
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4646
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. …”
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4647
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. …”
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4648
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. …”
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4649
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. …”
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4650
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. …”
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4651
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. …”
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4652
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. …”
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4653
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4654
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4655
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4656
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. …”
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4657
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. …”
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4658
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. …”
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4659
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. …”
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4660
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. …”