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greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
gap decrease » gain decreased (Expand Search), mean decrease (Expand Search), step decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
Showing 1,501 - 1,520 results of 17,945 for search 'significant ((((gap decrease) OR (((greatest decrease) OR (nn decrease))))) OR (a decrease))', query time: 0.54s Refine Results
  1. 1501
    Markov transition probability matrix (k = 4).

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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  2. 1502
    Markov transition probability matrix (k = 4).

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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  3. 1503
    Regression results.

    Regression results. by Ke Liu (121889)

    Published 2025
    “…Compared with metropolitan agglomerations such as Nanjing, Wuhan, Fuzhou, Changsha-Zhuzhou-Xiangtan, Chongqing, and Chengdu, the Xi’an metropolitan agglomeration had a lower population agglomeration level, with a significant gap. …”
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  4. 1504
    Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before March 31, 2021. Median values with IQR and p-values for significance difference in the medians are provided.

    Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

    Published 2025
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  5. 1505
    SHAP dependence plots with interaction coloring.

    SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  6. 1506
    Screening process diagram.

    Screening process diagram. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  7. 1507
    SHAP waterfall plot.

    SHAP waterfall plot. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  8. 1508
    SHAP decision plot.

    SHAP decision plot. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  9. 1509
    LASSO regression visualization plot.

    LASSO regression visualization plot. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  10. 1510
    SHAP dependence plots.

    SHAP dependence plots. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  11. 1511
    Tertile stratified subgroup analysis.

    Tertile stratified subgroup analysis. by Wentao Yang (205781)

    Published 2025
    “…This study examines the eGDR-frailty link, develops a machine learning predictive model to address this gap, and explores diabetes mellitus (DM) as a mediator, providing new insights for clinical intervention.…”
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  12. 1512
    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 1_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  13. 1513
    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 3_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  14. 1514
    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 4_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  15. 1515
    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 8_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  16. 1516
    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 2_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  17. 1517
    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 6_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  18. 1518
    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 5_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  19. 1519
    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 7_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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  20. 1520
    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx

    Table 9_Absolute abundance calculation enhances the significance of microbiome data in antibiotic treatment studies.xlsx by Stefanie Wagner (743707)

    Published 2025
    “…Here, GCN correction additionally uncovered significant decreases of Lactobacillus and Faecalibacterium. …”
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