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Showing 1 - 20 results of 127,199 for search '(( significantly improve disease ) OR ( significant difference (decrease OR increase) ))', query time: 0.71s Refine Results
  1. 1
    Microbial communities become significantly more dissimilar with increasing geographic distance.

    Microbial communities become significantly more dissimilar with increasing geographic distance. by Luis Martinez-Villegas (7339688)

    Published 2024
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  2. 2
    Number and percentage of AE patients with detectable Em2+ antibodies at different visits and significance level in binominal test.

    Number and percentage of AE patients with detectable Em2+ antibodies at different visits and significance level in binominal test. by Beate Grüner (301524)

    Published 2022
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  3. 3
    Percentage uptake by Scottish HSCP in 2019 and statistically significant increases between 2019 and “lockdown”.

    Percentage uptake by Scottish HSCP in 2019 and statistically significant increases between 2019 and “lockdown”. by Fiona McQuaid (12119628)

    Published 2022
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  4. 4
    Growth charts for seven craniofacial biometrics* with statistically significant differences from control group and a large effect size, and biparietal diameter, BPD, with no significant differences between groups.

    Growth charts for seven craniofacial biometrics* with statistically significant differences from control group and a large effect size, and biparietal diameter, BPD, with no signif... by Jacqueline Matthew (11677753)

    Published 2024
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  5. 5
    Encapsulation efficiency significantly decreases with increasing starting bacterial concentration.

    Encapsulation efficiency significantly decreases with increasing starting bacterial concentration. by Kelly C. Freudenberger Catanzaro (6701789)

    Published 2022
    “…Encapsulation efficiency decreased with increasing starting bacterial concentrations. …”
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  6. 6
    Mating significantly increases survival in LVP females infected with a moderate dose of <i>S. marcescens.</i>

    Mating significantly increases survival in LVP females infected with a moderate dose of <i>S. marcescens.</i> by Brendan J. Kelly (7329878)

    Published 2025
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  7. 7
    Significant variables in sensitivity analyses for treatment delays using different cut-off points.

    Significant variables in sensitivity analyses for treatment delays using different cut-off points. by Nazgul Soltobekova (12219073)

    Published 2022
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  8. 8
    Mating significantly increases survival and bacterial load in females infected with a high dose of <i>S. marcescens.</i>

    Mating significantly increases survival and bacterial load in females infected with a high dose of <i>S. marcescens.</i> by Brendan J. Kelly (7329878)

    Published 2025
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  9. 9
    Forest plots showing a significant improvement in the LVEDD in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the LVEDD in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  10. 10
    Forest plots showing a significant improvement in the LVESD in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the LVESD in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  11. 11
    Forest plots showing a significant improvement in the CER in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the CER in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  12. 12
    Forest plots showing a significant improvement in the LVEF in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the LVEF in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  13. 13
    Forest plots showing a significant improvement in the BNP in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the BNP in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  14. 14
    Demographic and participant characteristics stratified by the NAFLD and significant fibrosis status.

    Demographic and participant characteristics stratified by the NAFLD and significant fibrosis status. by Lucia Tabacu (18530429)

    Published 2024
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  15. 15
    Increased connectivity in the red lines and decreased connectivity in the blue lines.

    Increased connectivity in the red lines and decreased connectivity in the blue lines. by Tomoki Kaneko (9113490)

    Published 2023
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  16. 16
    KEGG analysis of the significant transcriptome.

    KEGG analysis of the significant transcriptome. by Long Yin Lam (11172024)

    Published 2025
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  17. 17
    GO analysis of the significant transcriptome.

    GO analysis of the significant transcriptome. by Long Yin Lam (11172024)

    Published 2025
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  18. 18
    Forest plots showing a significant improvement in the hs-CRP in the experiment group compared with the control group.

    Forest plots showing a significant improvement in the hs-CRP in the experiment group compared with the control group. by Ziyi Li (349831)

    Published 2023
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  19. 19
    Increases and decreases in resources.

    Increases and decreases in resources. by Guangliang Li (194029)

    Published 2024
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  20. 20
    Correlation matrix depicting relationships between different variables and wheat grain yield (r > 0.435; significant at <i>p</i><0.05 and r > 0.802 significant at <i>p</i><0.01, others non-significant).

    Correlation matrix depicting relationships between different variables and wheat grain yield (r > 0.435; significant at <i>p</i><0.05 and r > 0.802 significant at <i>p</i><0.01, ot... by Sandeep Sharma (193218)

    Published 2022
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