Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
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9641
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9642
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9643
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9644
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9645
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9646
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9647
BAI as a percent release at pH 4.5.
Published 2024“…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …”
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9648
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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9649
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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9650
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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9651
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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9652
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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9653
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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9654
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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9655
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9656
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9657
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9658
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9659
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9660