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non decrease » point decrease (Expand Search), note decreased (Expand Search), fold decrease (Expand Search)
nn decrease » _ decrease (Expand Search), gy decreased (Expand Search), b1 decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 non » _ non (Expand Search), a non (Expand Search), e non (Expand Search)
Showing 61 - 80 results of 20,354 for search '(( 5 non decrease ) OR ( 100 ((nn decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 0.64s Refine Results
  1. 61
    The synchronous activity of SGN fiber populations is disrupted and their response to sound is decreased with increasing levels of <i>L</i><sub><i>u</i></sub> heterogeneity.

    The synchronous activity of SGN fiber populations is disrupted and their response to sound is decreased with increasing levels of <i>L</i><sub><i>u</i></sub> heterogeneity. by Maral Budak (6680351)

    Published 2021
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  2. 62
    Decreased peritumoral myofibroblasts in the MC38 S.C. tumors of <i>S100a4-Cre; Ext1</i><sup><i>f/f</i></sup> mice.

    Decreased peritumoral myofibroblasts in the MC38 S.C. tumors of <i>S100a4-Cre; Ext1</i><sup><i>f/f</i></sup> mice. by Ayumi Niwa (6256790)

    Published 2023
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  3. 63
    Impaired Ubr5 function results in increased canonical and decreased non-canonical HH signalling.

    Impaired Ubr5 function results in increased canonical and decreased non-canonical HH signalling. by David Mellis (2833469)

    Published 2021
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  4. 64
    Comparison in baseline variables between efficacy group and non-efficacy group.

    Comparison in baseline variables between efficacy group and non-efficacy group. by Naruyoshi Gyoutoku (22537831)

    Published 2025
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  5. 65
    Viral replication in obese mice results in decreased genetic diversity.

    Viral replication in obese mice results in decreased genetic diversity. by James Weger-Lucarelli (603766)

    Published 2019
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  6. 66
    Immunoblotting FOXO1 and insulin receptors.

    Immunoblotting FOXO1 and insulin receptors. by Dwight D. Harris (14484648)

    Published 2024
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  7. 67
    Immunoblotting for insulin sensitivity markers.

    Immunoblotting for insulin sensitivity markers. by Dwight D. Harris (14484648)

    Published 2024
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  8. 68
    Experimental validation revealed that ACADSB and ACADM decreased in patients with UC.

    Experimental validation revealed that ACADSB and ACADM decreased in patients with UC. by Hongliang Chen (538815)

    Published 2025
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  9. 69
    The effects of NAC on the decreased number of myotube formations caused by arecoline.

    The effects of NAC on the decreased number of myotube formations caused by arecoline. by Yi-Xuan Li (6633845)

    Published 2022
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  10. 70
    Loss of FOXP1 results in decreased number of bRGCs.

    Loss of FOXP1 results in decreased number of bRGCs. by Seon Hye E. Park (16765033)

    Published 2023
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  11. 71
    PGRN decreased Dectin-2 expression on the surface of macrophages and neutrophils.

    PGRN decreased Dectin-2 expression on the surface of macrophages and neutrophils. by Jiayu Liu (3951515)

    Published 2022
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  12. 72
    Image3_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF

    Image3_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF by Sandra Torres (3361256)

    Published 2021
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  13. 73
    Image2_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.JPEG

    Image2_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.JPEG by Sandra Torres (3361256)

    Published 2021
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  14. 74
    Image4_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF

    Image4_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF by Sandra Torres (3361256)

    Published 2021
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  15. 75
    Image1_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF

    Image1_The Specific NLRP3 Antagonist IFM-514 Decreases Fibrosis and Inflammation in Experimental Murine Non-Alcoholic Steatohepatitis.TIF by Sandra Torres (3361256)

    Published 2021
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  16. 76
    Means and 95% confidence interval (CI) of all costs, benefits, and the difference in net benefits from the probabilistic reference case given in 2019 USD for 3 years for a 100-cow herd.

    Means and 95% confidence interval (CI) of all costs, benefits, and the difference in net benefits from the probabilistic reference case given in 2019 USD for 3 years for a 100-cow... by Marlena Waldbauer (18291223)

    Published 2024
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  17. 77
    Changes in mean modeled Zn, Pb, and Cd concentrations in <i>Hylocomium splendens</i> between 2001 and 2017.

    Changes in mean modeled Zn, Pb, and Cd concentrations in <i>Hylocomium splendens</i> between 2001 and 2017. by Peter N. Neitlich (4034300)

    Published 2024
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  18. 78
    <i>clec-4(ok2050)</i> and <i>clec-4(ya1)</i> decrease <i>C</i>. <i>elegans</i> feeding leading to a reduced bacterial load.

    <i>clec-4(ok2050)</i> and <i>clec-4(ya1)</i> decrease <i>C</i>. <i>elegans</i> feeding leading to a reduced bacterial load. by Barbara Pees (3313560)

    Published 2021
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  19. 79
    Sales-weighted mean salt content (g/100 g) by category and year.

    Sales-weighted mean salt content (g/100 g) by category and year. by Lauren K. Bandy (10912766)

    Published 2022
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  20. 80
    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.

    Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

    Published 2025
    “…<p>Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest.…”
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