Search alternatives:
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
models based » model based (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
models based » model based (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Robustness test based on probit model.
Published 2025“…This study is based on 284 village committee questionnaires and 7451 villager questionnaires from 10 provinces in China, and uses multi-layer linear regression models to explore the impact of the reform of rural collective property rights system on villagers’ public participation. …”
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Conceptual framework based on the S-O-R model.
Published 2024“…In contrast, ideal self-congruence had a more significant positive impact on the perceived physical attractiveness of the plus-size model than the thin-size model. …”
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Statistical significance testing comparing CILAD-Net with baseline models across different datasets.
Published 2025Subjects: -
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Base-case model inputs.
Published 2025“…</p><p>Method</p><p>We did an economic evaluation of 9 blood pressure screening strategies, including screening annually or every two or three years from the ages of 30, 40, or 50, using the Markov model. The Markov model was designed and implemented based on the natural history of cardiovascular disease in the 2020 TreeAge Pro software. …”
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Results based on the MGWR model.
Published 2025“…<div><p>To enhance the monitoring accuracy of agglomerate fog on expressways, this paper takes the frequently occurring agglomerate fog data on Shandong’s expressways as an example. Based on the analysis of the spatiotemporal distribution characteristics of agglomerate fog, from the spatial perspective, it employs Geographic Weighted Regression (GWR) and Multi-scale Geographic Weighted Regression (MGWR) models to analyze the influence and scale of factors including Digital Elevation Model (DEM), DEM difference, water system density, Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) difference, and precipitation on agglomerate fog. …”