Showing 5,861 - 5,880 results of 18,101 for search 'significantly ((((largest decrease) OR (greater decrease))) OR (((a decrease) OR (nn decrease))))', query time: 0.52s Refine Results
  1. 5861

    Description of the myofascial release techniques. by Sergio R. Thomaz (20308465)

    Published 2024
    “…There were significant decreases in the ΔMLwHFQ in the CRT group vs. …”
  2. 5862

    Study flow diagram. by Sergio R. Thomaz (20308465)

    Published 2024
    “…There were significant decreases in the ΔMLwHFQ in the CRT group vs. …”
  3. 5863

    Clinical characteristics of the study population. by Sergio R. Thomaz (20308465)

    Published 2024
    “…There were significant decreases in the ΔMLwHFQ in the CRT group vs. …”
  4. 5864

    Table 2 - by Rosanna Mary Rooney (17595801)

    Published 2024
    “…Despite a global decrease over the last 30 years, youth crime remains prevalent. …”
  5. 5865
  6. 5866

    Design of the D-trial. 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>. …”
  7. 5867

    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>. …”
  8. 5868

    Raw data V-trial. 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>. …”
  9. 5869

    Raw data D-trial. 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>. …”
  10. 5870
  11. 5871

    Effects of Ni<sup>2+</sup> on mitochondrial (A), glycolytic (B), and total (C) ATP production rates in BMDM. by Jesse Corbin (21736578)

    Published 2025
    “…A double dagger (‡) indicates a significant decrease of mitochondrial ATP production rates (slope = −0.79 ± 0.21, <i>R</i><sup><i>2</i></sup> = 0.40, <i>F</i>(1, 22)=15.0, <i>p </i>< 0.001) from 0 to 72 ppm Ni<sup>2+</sup>. …”
  12. 5872
  13. 5873
  14. 5874
  15. 5875
  16. 5876
  17. 5877

    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.…”
  18. 5878

    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.…”
  19. 5879
  20. 5880