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Showing 481 - 500 results of 44,229 for search '(( significant decrease based ) OR ( significant ((linear decrease) OR (mean decrease)) ))', query time: 0.84s Refine Results
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    Zcchc11 deficiency decreases IGF-1 expression <i>in vivo</i>. by Matthew R. Jones (115795)

    Published 2012
    “…(B) Growth hormone (GH) in serum, measured by ELISA, was unaffected by genotype in 8-day-old mice, based on no significant difference using student's t-test. …”
  3. 483

    Deletion of STX1B decreases the size of RRP in glutamatergic and GABAergic synapses. by Tatsuya Mishima (529071)

    Published 2014
    “…Although their slopes were not significantly different, the intercept was significantly decreased in STX1B<sup>−/−</sup> neurons (<i>p</i><0.001, ANCOVA). *** <i>p</i><0.001.…”
  4. 484

    Data_Sheet_1_On-Farm Trials Reveal Significant but Uncertain Control of Botrytis cinerea by Aureobasidium pullulans and Potassium Bicarbonate in Organic Grapevines.PDF by Anabelle Laurent (10185680)

    Published 2021
    “…<p>Botrytis cinerea, a fungal pathogen that causes gray mold on grapes, can decrease yield, substantially reduce wine quality, and therefore cause significant economic losses. …”
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    Linear model and ANOVA results of the relationship between time since ESA listing and population trends (increasing, non-significant, decreasing) for marine mammal and sea turtle populations. by Abel Valdivia (432985)

    Published 2019
    “…<p>Linear model and ANOVA results of the relationship between time since ESA listing and population trends (increasing, non-significant, decreasing) for marine mammal and sea turtle populations.…”
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    Vitamin C decreases the obesogenic and hyperglycemic effect of invert sugar in prediabetic rats by Patrícia MOLZ (6744857)

    Published 2022
    “…Results: Group invert sugar control gained significantly more weight (p=0.035) and visceral fat (p<0.001) than groups vitamin C control and vitamin C plus invert sugar. …”
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    Residual test results based on FSAC model. by Jinxian Tang (15460795)

    Published 2023
    “…The FSAC model is more effective at fitting the concentration and dew point temperature of the Fenwei Plain in China because its mean square error (MSE) is significantly lower than that of the other models. …”
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