Search alternatives:
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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1681
Non-Steady-State Fickian Diffusion Models Decrease the Estimated Gel Layer Diffusion Coefficient Uncertainty for Diffusive Gradients in Thin-Films Passive Samplers
Published 2023“…A finite difference model (FDM) developed based on Fick’s second law with non-steady-state (N-SS) flux decreased uncertainty in <i>D</i><sub>Gel</sub> tenfold. …”
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1682
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1683
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1684
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1685
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1686
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1687
Propensity-score matched open aortic group.
Published 2023“…However, the incidence of post-op ventilator associated pneumonia (VAP) decreased from 5.0% to 2.1% (p = 0.003) and post-op urinary tract infections (UTIs) from 8.3% to 3.6% (p<0.001). …”
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1688
Pre-match CABG/Valve group.
Published 2023“…However, the incidence of post-op ventilator associated pneumonia (VAP) decreased from 5.0% to 2.1% (p = 0.003) and post-op urinary tract infections (UTIs) from 8.3% to 3.6% (p<0.001). …”
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1689
Propensity-score matched CABG/Valve group.
Published 2023“…However, the incidence of post-op ventilator associated pneumonia (VAP) decreased from 5.0% to 2.1% (p = 0.003) and post-op urinary tract infections (UTIs) from 8.3% to 3.6% (p<0.001). …”
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1690
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1691
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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1692
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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1693
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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1694
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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1695
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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1696
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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1697
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1698
Grey matter concentration decreases for (A) tinnitus duration.
Published 2015“…<p>Grey matter decrease projected onto a T1-weighted image. Maximum intensity projection with a threshold of <i>p</i> < .001 (uncorrected) at both voxel and cluster level. …”
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1699
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1700