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significantly a » significantly _ (Expand Search), significantly i (Expand Search), significantly vary (Expand Search)
higher degrees » higher degree (Expand Search), high degree (Expand Search), highest degree (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significantly a » significantly _ (Expand Search), significantly i (Expand Search), significantly vary (Expand Search)
higher degrees » higher degree (Expand Search), high degree (Expand Search), highest degree (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Supplementary Material for: Clinical Significance of Persistent Hematuria Degrees in Primary IgA Nephropathy: A Propensity Score-Matched Analysis of A 10-year Follow-up Cohort
Published 2023“…Abstract Introduction: The clinical significance of persistent hematuria degrees hasn't been expounded in primary IgA nephropathy (IgAN) and requires further research. …”
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Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.
Published 2023“…<p>Concentration of RebA and Steviol showed increased significantly, whereas stevioside showed significant decrease in all the transgenic lines.…”
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The number of gauging cross-sections where a statistically significant decreasing trend was identified.
Published 2024“…<p>The number of gauging cross-sections where a statistically significant decreasing trend was identified.…”
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LSD method significance test.
Published 2024“…Secondly, the doctoral degree group has a greater probability of earning higher incomes, followed by the master’s and bachelor’s degree groups, but this opportunity advantage, i.e., the probability of earning higher incomes, is diminishing, i.e., the education dividend is diminishing. …”
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Correlation heatmap with significance.
Published 2025“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”
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