Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
linear decrease » linear increase (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)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
4161
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. …”
-
4162
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. …”
-
4163
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. …”
-
4164
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. …”
-
4165
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. …”
-
4166
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. …”
-
4167
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. …”
-
4168
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. …”
-
4169
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. …”
-
4170
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. …”
-
4171
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. …”
-
4172
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. …”
-
4173
-
4174
-
4175
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. …”
-
4176
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. …”
-
4177
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. …”
-
4178
-
4179
Learn!Bio study: Grouping of Participants.
Published 2025“…The Covid-19 pandemic and the consequent restriction of personal social interaction resulted in an significant decrease in the mental wellbeing of undergraduate bioscience students in this study, cumulating in poor or very poor self-rating of wellbeing in spring 2021; while at the same time students showed evidence of advanced adaption to the new learning and social environment by acquisition of additional technical, social and professional graduate-level skills. …”
-
4180
CONSORT of participants with OPV status.
Published 2025“…<div><p>Most vaccinations in the immunization schedule need two or more doses to elicit a protective immune response. Therefore, completion of all doses is crucial for achieving the best possible immunity. …”