Showing 3,021 - 3,040 results of 6,336 for search 'significantly ((((lower decrease) OR (nn decrease))) OR (((teer decrease) OR (mean decrease))))', query time: 0.61s Refine Results
  1. 3021

    The applied forces and moments. by Petr Boháč (20685499)

    Published 2025
    “…<div><p>Background and objective</p><p>The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. …”
  2. 3022

    The applied forces and moments for the muscles. by Petr Boháč (20685499)

    Published 2025
    “…<div><p>Background and objective</p><p>The use of bone allograft reconstructions after tumor resection can introduce significant complications. Stable fixation is required to decrease the incidence of mechanical complications of segmental bone allografts. …”
  3. 3023
  4. 3024

    Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

    Published 2025
    “…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”
  5. 3025

    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.…”
  6. 3026

    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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  17. 3037

    Model performance comparison. by Shayla Naznin (13014015)

    Published 2025
    “…Key metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared, and Mean Absolute Percentage Error (MAPE), were employed to evaluate model performance. …”
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  20. 3040

    Supplementary Table 1–9. by Yu Wang (12152)

    Published 2025
    “…To gain further insight, expression quantitative trait loci (eQTL) data were used to investigate the significant drug targets for lipid-lowering.</p><p>Results</p><p>Increasing ApoA-1 levels was associated with a diminished risk of sepsis (under 75) (OR 0.927, 95% CI 0.861–0.999; p = 0.047). …”