Search alternatives:
teer decrease » greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
teer decrease » greater decrease (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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1261
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1262
Propensity-score matched open aortic group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1263
Pre-match CABG/Valve group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1264
Propensity-score matched CABG/Valve group.
Published 2023“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”
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1265
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1266
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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1267
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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1268
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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1269
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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1270
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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1271
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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1272
Robust Operation of Mesoporous Antireflective Coatings under Variable Ambient Conditions
Published 2018“…In this work, we examine the effect of relative humidity on mesoporous ARCs and present a simple method for the preparation of ARCs with robust operation under variable conditions. …”
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1273
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1274
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1275
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1276
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1277
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1278
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1279
DataSheet_1_Canavanine-Induced Decrease in Nitric Oxide Synthesis Alters Activity of Antioxidant System but Does Not Impact S-Nitrosoglutathione Catabolism in Tomato Roots.pdf
Published 2019“…<p>Canavanine (CAN) is a nonproteinogenic amino acid synthesized in legumes. …”
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1280
TUNEL staining of testis tissues.
Published 2025“…Scale bar = 50 μm.</p> <p><a href="https://doi.org/10.5061/dryad.pzgmsbcz2" target="_blank">https://doi.org/10.5061/dryad.pzgmsbcz2</a>.…”