Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
larger decrease » marked decrease (Expand Search)
less decrease » mean decrease (Expand Search), teer decrease (Expand Search), levels decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
larger decrease » marked decrease (Expand Search)
less decrease » mean decrease (Expand Search), teer decrease (Expand Search), levels decreased (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Variation of creep strain rate of rock samples with the number of freeze-thaw cycles.
Published 2025Subjects: -
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Published 2025“…<div><p>The impact of islet neuronal nitric oxide synthase (nNOS) on glucose-stimulated insulin secretion (GSIS) is less understood. We investigated this issue by performing simultaneous measurements of the activity of nNOS <i>versus</i> inducible NOS (iNOS) in GSIS using isolated murine islets. …”
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Medicare clozapine data analysis.
Published 2025“…We observed a steady decrease in clozapine use adjusted for population (−18.0%) and spending (−24.9%) over time. …”
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Major hyperparameters of RF-SVR.
Published 2024“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”
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Pseudo code for coupling model execution process.
Published 2024“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”
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Major hyperparameters of RF-MLPR.
Published 2024“…This narrow approach overlooks the multifaceted variables influencing runoff, resulting in incomplete and less reliable predictions. To address these challenges, we selected and integrated Random Forest (RF), Support Vector Regression (SVR), and Multilayer Perceptron Regression (MLPR) to develop two coupled intelligent prediction models—RF-SVR and RF-MLPR—due to their complementary strengths. …”