Showing 1 - 20 results of 15,294 for search '(( 5 mm decrease ) OR ( 100 ((((nn decrease) OR (mean decrease))) OR (_ decrease)) ))', query time: 0.75s Refine Results
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    MVEC microvessel formation is restricted in hydrogels exhibiting increased stiffness or decreased concentration of adhesive peptides. by Rebecca A. Scott (488956)

    Published 2020
    “…(<b>E</b>) Total tubule length (mm/mm<sup>2</sup>) and (<b>F</b>) tubule diameter decreased significantly as hydrogel wt% increased. …”
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    Genes whose expression was decreased by 100 nM ouabain by more than 1.3-fold. by Larisa V. Smolyaninova (3600053)

    Published 2019
    “…<p>Genes whose expression was decreased by 100 nM ouabain by more than 1.3-fold.</p>…”
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    DCD is strikingly decreased in HS lesions. by Margaret Coates (6058580)

    Published 2019
    “…Co-staining was performed with K77 (green), which is a marker of eccrine sweat glands. Scale bar is 100μm. (C) Immunofluorescence for DCD (red) and K77 (green) at 4X showing decreased number of eccrine sweat glands in HS lesional skin. …”
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    Exposure to low CO<sub>2</sub> levels decreases ER cholesterol levels. by Nityanand Bolshette (17396845)

    Published 2023
    “…<b>(B)</b> Bioluminescence recordings from the different conditions as depicted in <b>(A)</b>, the arrow indicates the time CO<sub>2</sub> was shifted from 5% to 1% (mean ± SE, <i>n</i> = 4 biological replicates per condition, AUC for 0 mM 0.34 ± 0.007, 1.59 ± 0.004 (<i>P</i> < 0.0001), 0.5 mM 1.00 ± 0.023, 2.68 ± 0.04 (<i>P</i> < 0.0001), 1 mM 1.66 ± 0.07, 3.34 ± 0.04 (<i>P</i> < 0.0001), 3 mM 2.06 ± 0.02, 2.79 ± 0.07 (<i>P</i> < 0.0001), 5 mM 2.02 ± 0.05, 2.43 ± 0.06 (<i>P</i> < 0.002), 7 mM 1.85 ± 0.01, 1.77 ± 0.02 (<i>P</i> < 0.02) two-sided Student’s <i>t</i> test). …”
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    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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