Showing 761 - 780 results of 36,980 for search '(( 5 ((mean decrease) OR (teer decrease)) ) OR ( 100 ((we decrease) OR (a decrease)) ))', query time: 1.11s Refine Results
  1. 761

    Fig 4 - by Jan Víteček (11434774)

    Published 2024
    “…A tenfold decrease or increase in concentration induced only a 2-fold decrease or increase in clot degradation. …”
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    Overexpression of wild-type and mutant ALDH3A1 retards hTCEpi cell proliferation. by Vindhya Koppaka (845151)

    Published 2016
    “…After 4 d, cells were trypsinized and viable cells were counted using trypan blue exclusion on a hemocytometer. Consecutively, 2.0 x 10<sup>5</sup> cells were transferred to a new dish and this process repeated for a total of 8 passages, i.e., for 32 d until treated cells showed decreasing cell numbers. …”
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    Decreased oscillatory flow decreases <i>klf2a</i> expression. by Julien Vermot (257990)

    Published 2009
    “…(L) Quantitative RT-PCR showing the expression level of several flow-responsive genes after lidocaine treatment. <i>klf2a</i> expression is significantly decreased after 6 and 10 h of treatment and is restored by incubation at 34°C; 100% of expression corresponds to a normal expression level. …”
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    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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    General technical specification for GW154/6700. by Weidong Ji (129916)

    Published 2025
    “…On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
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