Search alternatives:
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
we decrease » _ decrease (Expand Search), teer decrease (Expand Search), use decreased (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Analysis of packing modes in the filaments formed by the CsgG-CsgF<sub>20–59</sub> complex.
Published 2020“…<p>(A) Inter-complex homodimeric head-to-head packing mode (left). …”
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363
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365
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Demographic, clinical, and densitometric characteristics of study participants.
Published 2023Subjects: -
368
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369
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370
Optical coherence tomography findings.
Published 2024“…After PCI, hDPV significantly increased from 55.6 cm/s to 69.5 cm/s (P<0.01), with a median %hDPV increase of 27.2 (6.32–59.1) %, while %hDPV decreased in 20 (19.4%) patients. …”
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371
S1 Data -
Published 2024“…After PCI, hDPV significantly increased from 55.6 cm/s to 69.5 cm/s (P<0.01), with a median %hDPV increase of 27.2 (6.32–59.1) %, while %hDPV decreased in 20 (19.4%) patients. …”
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372
Clinical demographics and angiographic findings.
Published 2024“…After PCI, hDPV significantly increased from 55.6 cm/s to 69.5 cm/s (P<0.01), with a median %hDPV increase of 27.2 (6.32–59.1) %, while %hDPV decreased in 20 (19.4%) patients. …”
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373
Physiological parameters.
Published 2024“…After PCI, hDPV significantly increased from 55.6 cm/s to 69.5 cm/s (P<0.01), with a median %hDPV increase of 27.2 (6.32–59.1) %, while %hDPV decreased in 20 (19.4%) patients. …”
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374
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375
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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376
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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377
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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378
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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379
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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380