Showing 121 - 140 results of 68,686 for search '(((( 50 ms decrease ) OR ( 50 ((we decrease) OR (mean decrease)) ))) OR ( 5 a decrease ))', query time: 0.95s Refine Results
  1. 121

    Flowchart of patients. by Seydou Goro (17847203)

    Published 2024
    “…Using the number of competitors per distance method, our study showed that a “highly competitive” and “moderately competitive” markets decreased mortality by 31% [OR: 0.69 (0.59, 0.80); p<0.001] and by 12% respectively [OR: 0.88 (0.79, 0.99); p<0.03], compared to the “non-competitive” market. …”
  2. 122

    Inclusion of TPP side chains result in decreased melanoma cell mitochondria membrane potential, oxygen consumption, and increased DHE oxidation. by Kyle C. Kloepping (9928265)

    Published 2020
    “…At the 25 min mark, 1.0 μM 12-TPP was added to treatment A375 cells followed by the sequential addition of 2.5 μM oligomycin at the 60 min mark, 0.3 μM oligomycin at the 90 min mark, and 5.0 μM rotenone/antimycin A at the 120 min mark. …”
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    Alternative bounded and monotonically decreasing functions do not accurately fit the bias in the naïve SI. by Liron Sheintuch (12078310)

    Published 2022
    “…<p>(A-D) Fitting the naïve SI (blue) of simulated data using different types of bounded and monotonically decreasing functions with three free parameters. …”
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    Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels. by Nityanand Bolshette (17396845)

    Published 2023
    “…<b>(F)</b> qPCR analysis for cholesterogenic genes from NIH3T3 cells exposed to cholesterol (50 μm) or 25-hydroxycholesterol (10 μm) under 5% or 1% CO<sub>2</sub> for 4 h (mean ± SE, <i>n</i> = 3 biological replicates per condition, ***<i>P</i> < 0.001, nonsignificant (ns), two-way ANOVA with Bonferroni’s multiple comparisons test). …”
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    Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    Published 2025
    “…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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