Showing 2,721 - 2,740 results of 4,823 for search 'significant ((((((gap decrease) OR (nn decrease))) OR (greater decrease))) OR (mean decrease))', query time: 0.71s Refine Results
  1. 2721
  2. 2722

    GWAS analysis using only Cluster 1 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…(C) The corresponding synonymous (triangles) amino acid changes that associate with increased or decreased viral copies. Data shown as means with 95% confidence intervals.…”
  3. 2723

    GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…(C) The corresponding non-synonymous (circles) amino acid changes that associate with increased or decreased viral copies. Data shown as means with 95% confidence intervals.…”
  4. 2724

    GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

    Published 2024
    “…(C) The corresponding synonymous (triangles) and non-synonymous (circles) amino acid changes that associate with increased or decreased viral copies. Data shown as means with 95% confidence intervals.…”
  5. 2725
  6. 2726
  7. 2727
  8. 2728

    GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

    Published 2024
    “…(C) The corresponding synonymous (triangles) and non-synonymous (circles) amino acid changes that associate with increased or decreased viral copies. Data shown as means with 95% confidence intervals. …”
  9. 2729

    GWAS analysis identifies several single nucleotide polymorphisms (SNPs) that are associated with the changes in viral copies. by Ke Li (106849)

    Published 2024
    “…(C) The corresponding synonymous (triangles) and non-synonymous (circles) amino acid changes that associate with increased or decreased viral copies. Data is shown as means with 95% confidence intervals. …”
  10. 2730

    Model diagnostics for old death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  11. 2731

    Model diagnostics for adult death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  12. 2732

    Model diagnostics for child death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  13. 2733

    Model diagnostics for all death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  14. 2734

    Model diagnostics for female death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  15. 2735

    Model diagnostics for male death events. by Xin Zhang (35492)

    Published 2025
    “…Results from the dual-pollutants model demonstrated that the effect of PM on the risk of RD mortality remained significant and slightly increased in magnitude. Moreover, composite pollutants exhibited a higher risk effect, reaching its peak after one week; however, there was a decrease in single-day cumulative effects as more pollutant types were included. …”
  16. 2736

    Modulation of performance during learning. by Daniel Ramandi (10047543)

    Published 2025
    “…(B) A longitudinal comparison of the average exponential fit weight between WT and zQ175 mice reveals that while WT mice show a decreasing trend, indicating a shift towards longer duration (“timed”) trials, zQ175 mice maintain a consistently high exponential weight, demonstrating no significant change over time (b; RM two-way ANOVA, genotype p = 0.0106 F(1, 22) = 7.795, days p < 0.0001 F(5.262, 115.4) = 7.616, interaction p < 0.0001 F(57, 1250) = 2.834). …”
  17. 2737
  18. 2738

    Domains of NoCs. by Gizachew Tadele Tiruneh (8407686)

    Published 2025
    “…The <i>"Improve Primary Health Care Service Delivery (IPHCSD)"</i> project, implemented by JSI and Amref Health Africa since April 2022, seeks to address these gaps through a Networks of Care (NoCs) approach. …”
  19. 2739

    Arrangement of PHC facilities in a woreda NoCs. by Gizachew Tadele Tiruneh (8407686)

    Published 2025
    “…The <i>"Improve Primary Health Care Service Delivery (IPHCSD)"</i> project, implemented by JSI and Amref Health Africa since April 2022, seeks to address these gaps through a Networks of Care (NoCs) approach. …”
  20. 2740

    Validation and predictive accuracy of the cerebrovascular model, by Hadi Esfandi (21387211)

    Published 2025
    “…<p>(a-f) dependency of blood flow in capillaries on the cortical depth and ABNP values: (a) mean and standard deviation of blood flow in Cap1 segments for various ABNP values, (b) layer-specific average blood flow in capillaries across the entire monophasic flat autoregulation range, (c) indicates that the superficial layers have a more nonuniform hemodynamic distribution in capillaries, (d) mean capillary blood flow across different vascular layers at physiological ABNP values (50-70 mmHg), (e) WT changes in superficial PA segments are more significant than in deeper segments across the autoregulation range. …”