Search alternatives:
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
mean decrease » a decrease (Expand Search)
greatest decrease » greater decrease (Expand Search), treatment decreased (Expand Search), greater increase (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
mean decrease » a decrease (Expand Search)
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9761
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9762
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). …”
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9763
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9764
Fecal egg count reduction percentage (FECRP).
Published 2025“…Statistically, there was a significant decrease in EPG values from days 0–14. …”
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9765
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9766
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9767
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9768
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9769
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9770
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9771
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. …”
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9772
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. …”
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9773
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. …”
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9774
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. …”
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9775
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. …”
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9776
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. …”
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9777
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. …”
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9778
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9779
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9780