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greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (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 1,801 - 1,820 results of 18,079 for search 'significant ((((gap decrease) OR (((nn decrease) OR (greater decrease))))) OR (a decrease))', query time: 0.50s Refine Results
  1. 1801
    Attitude regarding osteoporosis among the study participants.

    Attitude regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
    Subjects:
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  2. 1802
    Knowledge regarding osteoporosis among the study participants.

    Knowledge regarding osteoporosis among the study participants. by Surakshya Khanal (19949745)

    Published 2024
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  3. 1803
    Absolute β convergence results.

    Absolute β convergence 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. 1804
    Conditional β convergence results.

    Conditional β convergence 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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  5. 1805
    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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  6. 1806
    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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  7. 1807
    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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  8. 1808
    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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  9. 1809
    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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  10. 1810
    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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  11. 1811
    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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  12. 1812
    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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  13. 1813
    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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  14. 1814
    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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  15. 1815
    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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  16. 1816
    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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  17. 1817
    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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  18. 1818
    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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  19. 1819
    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. …”
    Save to List
    Saved in:
  20. 1820
    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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    Saved in:

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