Showing 221 - 240 results of 4,192 for search '(( significantly ((linear decrease) OR (mean decrease)) ) OR ( significant linear decrease ))', query time: 0.46s Refine Results
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    Association between FF Proximity and BMI by sex. by Kimberly Yuin Y’ng Wong (22766265)

    Published 2025
    “…An exponential decrease in FF proximity was associated with 0.7 kg/m<sup>2</sup> (p < 0.001) increase in BMI among males and 0.4 kg/m<sup>2</sup> (p < 0.05) decrease among females. …”
  8. 228

    The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing by Justin Erasmus (8702619)

    Published 2025
    “…</p><p dir="ltr">An 18- and a 19-year-old spacing experiment with four levels of initial tree spacing (1.83 m × 1.83 m, 2.35 m × 2.35 m, 3.02 m × 3.02 m and 4.98 m × 4.98 m) were sampled. Linear and non-linear mixed-effects models were developed to examine the effect of tree spacing on the quality of wood and lumber as defined by the modulus of elasticity, modulus of rupture and knot frequency of 208 boards and the ring-level microfibril angle and wood density of 86 radial strips.…”
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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.…”
  19. 239

    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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