Showing 201 - 220 results of 27,017 for search '(( 50 we decrease ) OR ( 5 ((((non decrease) OR (fold decrease))) OR (mean decrease)) ))', query time: 0.67s Refine Results
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    Brain and liver GCase activity are significantly decreased in heterozygous <i>GBA1</i> D409V KI mice, with varying differences in glucosphingolipid lipids in brain and liver. by Nicole K. Polinski (10947787)

    Published 2021
    “…(A-B) GCase levels as assessed by the CBE/4-MU method are significantly decreased in the het <i>GBA1</i> D409V KI mice at 5 months of age in both brain (A) and liver (B). …”
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    Image1_Decreased mitochondrial respiration associates with frailty in community-dwelling older adults.jpg by Gianella Liabeuf (18512634)

    Published 2024
    “…Frail individuals displayed a higher frequency of osteoporosis and depression. The mean age of the participants was 80.2 ± 5.2 years, similar in both groups of men and women. …”
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    Table_1_Manipulation of an α-glucosidase in the industrial glucoamylase-producing Aspergillus niger strain O1 to decrease non-fermentable sugars production and increase glucoamylas... by Wenzhu Guo (501328)

    Published 2022
    “…Improving glucose yield and decreasing the non]-fermentable sugars which caused by transglycosylation activity of the enzymes during the starch saccharification is an important direction. …”
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    The ratio between the bias in the naïve SI and shuffle SI decreases with tuning specificity, but not with sample size. by Liron Sheintuch (12078310)

    Published 2022
    “…Data pooled from N = 9 simulations, each corresponding to behavioral data from a different mouse. (B) The bias ratio (mean ± SEM) decreases as a function of the true SI for a sample size of 1 minute (blue), 5 minutes (cyan) and 20 minutes (green). …”
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    Mean decrease in accuracy (MDA) of top 15 urine metabolites. by Liam E. Broughton-Neiswanger (8447220)

    Published 2020
    “…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”
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