Showing 41 - 60 results of 98,864 for search '(( 2 a decrease ) OR ( 50 ((((nn decrease) OR (we decrease))) OR (mean decrease)) ))', query time: 1.16s Refine Results
  1. 41

    The apparent Ca<sup>2+</sup> affinity of release is decreased by hydrophobic mutations. by Matthew R. Bowers (8423115)

    Published 2020
    “…The significant rightward shift in the curve (EC50, non overlapping confidence intervals) indicates a decrease in the apparent Ca<sup>2+</sup> affinity of neurotransmitter release.…”
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    Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

    Published 2025
    “…However, how global land use changes impact soil N supply and potential N loss remains elusive. By compiling a global data set of 1,782 paired observations from 185 publications, we show that land use conversion from natural to managed ecosystems significantly reduced NNM by 7.5% (−11.5, −2.8%) and increased NN by 150% (86, 194%), indicating decreasing N availability while increasing potential N loss through denitrification and nitrate leaching. …”
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    Estimated mean values for light interception. by Torsten Schober (20485754)

    Published 2024
    “…Empirical models for the relationships between the investigated plant traits and PD/DVP were created using linear regression analysis preceded by a lack-of-fit test. An increase in PD led to a linear decrease in inflorescence yield per plant (<i>p</i> = 0.02), whereas a positive linear relationship was found for inflorescence yield (<i>p</i> = 0.0001) and CBD yield (<i>p</i> = 0.0002) per m<sup>2</sup>. …”
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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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