Showing 21 - 40 results of 23,656 for search '(( significant ((gap decrease) OR (mean decrease)) ) OR ( significant different doses ))', query time: 0.59s Refine Results
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    Summary of results. by Xin Liu (43569)

    Published 2025
    Subjects:
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    IR-induced mutation profiles of DNA repair mutants significantly different from wild-type. by Bettina Meier (274833)

    Published 2021
    “…Dark blue shaded bars indicate mutation profiles which are significantly different from wild-type. <b>B.</b> Mutation profiles that are different from wild-type as determined in panel A. …”
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    Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels.... by Fatma A. Moharram (9276104)

    Published 2025
    “…<p>Effect of different doses (mg/Kg) of the defatted extract (DE) of the leaves of <i>S. malaccense</i> and <i>S. samarangense</i> on serum ALT and AST levels. …”
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    Change in Mean Anxiety Scores Over time by group. by Shaaista Budhani (21030221)

    Published 2025
    “…There was a trend of increased recall rates in group 2 for short-term problems, long-term problems, intervention, and incidence rates, but it did not reach statistically significant level. There was an overall decrease in State Trait Anxiety Inventory (STAI) scores of participants after counseling (p = 0.002) but no statistically difference in change of STAI scores between the two groups (p = 0.981).…”
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    Voxel-based whole-brain analysis shows regional and dose-dependent effects of netoglitazone in decreasing plaque mean size. by Francesca Catto (21253435)

    Published 2025
    “…(C) Short-term-treatment with a high dose of netoglitazone reveals a significant reduction in plaque size, especially observed in the hippocampus, striatum, thalamus, hypothalamus, midbrain, and hindbrain. …”
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    Fig 4 - by Katayoon Montazeri (18389243)

    Published 2024
    Subjects:
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    Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

    Published 2025
    “…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”
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