Showing 1,681 - 1,700 results of 18,038 for search 'significantly ((((largest decrease) OR (teer decrease))) OR (((we decrease) OR (a decrease))))', query time: 0.46s Refine Results
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    Ethogram describing all outcome measures. by Sara Hintze (3216885)

    Published 2024
    “…Apathetic animals are hypothesised to show a decreased interest in stimuli of all valences, whereas depressed animals are thought to be less interested in positive stimuli only, due to anhedonia, a key symptom of depression. …”
  4. 1684

    Flow chart of animal experiment. by Shudan Liu (7049483)

    Published 2025
    “…Then, we evaluated the effects of PMSC intervention on POI rats: Compared to the untreated MOD group, the estrous cycle of rats in the PMSC group gradually became regular, the ovarian weight and ovarian index were significantly increased, and the ovarian tissue structure was improved by showing an increase in the number of follicles and a decrease in the number of atretic follicles. …”
  5. 1685

    Primers used in present study. by Razia Liaqat (17873634)

    Published 2025
    “…Interleukin-10 levels were significantly elevated in all treatments except in the positive control (+ve A0). …”
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    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>. …”
  9. 1689

    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>. …”
  10. 1690

    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>. …”
  11. 1691

    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>. …”
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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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