Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
latent decrease » latency decreased (Expand Search), content decreased (Expand Search), greatest decrease (Expand Search)
mean decrease » a decrease (Expand Search)
-
9881
-
9882
-
9883
-
9884
Flowchart of study participants.
Published 2024“…Also, on day 14 post-intervention, there was a significant decrease between the groups of intervention and control in terms of the mean score of episiotomy wound healing (REEDA index) (0.53 ± 0.77, 1.77 ± 1.46) (P < 0.05). …”
-
9885
-
9886
Fecal egg count reduction percentage (FECRP).
Published 2025“…Statistically, there was a significant decrease in EPG values from days 0–14. …”
-
9887
-
9888
-
9889
Data_Sheet_1_How do teacher support trajectories influence primary and lower-secondary school students’ study well-being.docx
Published 2023“…Moreover, heightened study-related burnout symptoms and decreased study engagement were associated with a decline in perceived teacher support, while higher levels of study engagement and low levels of study burnout symptoms were associated with a continuum of positive teacher support experience. …”
-
9890
-
9891
-
9892
-
9893
-
9894
Study characteristics.
Published 2024“…Participant characteristics, contraction mode (isometric, dynamic), and final pH and [Pi] were extracted. A random-effects model was used to calculate the mean difference (MD) and 95% confidence interval (CI) for pH and [Pi] across age groups. …”
-
9895
Paeameter ranges and optimal values.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
-
9896
Improved random forest algorithm.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
-
9897
Datasets used in the study area.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
-
9898
Evaluation of the improved random forest model.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
-
9899
Comparison of model metrics.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
-
9900
Flowchart of population spatialization.
Published 2025“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”