Showing 161 - 180 results of 1,468 for search '(( significantly we decrease ) OR ( significantly higher decrease ))~', query time: 0.47s Refine Results
  1. 161

    Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

    Published 2025
    “…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
  2. 162

    Negative Intrinsic Viscosity in Graphene Nanoparticle Suspensions Induced by Hydrodynamic Slip by Adyant Agrawal (22492518)

    Published 2025
    “…As the concentration of graphene particles increases in the dilute regime, the viscosity initially decreases, falling below that of pure water. At higher concentrations, however, particle aggregation becomes significant, leading to a rise in viscosity after a minimum is reached. …”
  3. 163

    SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  4. 164

    Screening process diagram. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  5. 165

    SHAP waterfall plot. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  6. 166

    SHAP decision plot. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  7. 167

    LASSO regression visualization plot. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  8. 168

    SHAP dependence plots. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  9. 169

    Tertile stratified subgroup analysis. by Wentao Yang (205781)

    Published 2025
    “…SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …”
  10. 170

    Flow diagram of participants selection. by Wei Huang (36889)

    Published 2025
    “…Participants in the highest BRI quartile had 69-fold higher LMM odds versus the lowest quartile (OR=68.96, 95%CI = 33.62–141.47). …”
  11. 171

    Minimal data set. by Wei Huang (36889)

    Published 2025
    “…Participants in the highest BRI quartile had 69-fold higher LMM odds versus the lowest quartile (OR=68.96, 95%CI = 33.62–141.47). …”
  12. 172

    Weighted comparison of baseline characteristics. by Wei Huang (36889)

    Published 2025
    “…Participants in the highest BRI quartile had 69-fold higher LMM odds versus the lowest quartile (OR=68.96, 95%CI = 33.62–141.47). …”
  13. 173

    Semen analysis raw data. by Jiatong Xiao (15344134)

    Published 2024
    “…During the acute phase after infection, the proportion of erectile dysfunction was significantly higher than before infection, but ejaculatory function was not significantly altered; In addition, semen analysis showed significant difference in semen concentration, semen activity and PR a+b sperm forward movement after infection compared to pre-infection.: COVID-19 Omicron can affect erectile function as well as sexual experience in male patients in the acute phase. …”
  14. 174

    The original data of survey. by Jiatong Xiao (15344134)

    Published 2024
    “…During the acute phase after infection, the proportion of erectile dysfunction was significantly higher than before infection, but ejaculatory function was not significantly altered; In addition, semen analysis showed significant difference in semen concentration, semen activity and PR a+b sperm forward movement after infection compared to pre-infection.: COVID-19 Omicron can affect erectile function as well as sexual experience in male patients in the acute phase. …”
  15. 175

    Study data. by Jie Liu (15128)

    Published 2025
    “…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”
  16. 176

    Summary of clinical outcomes after 9 months. by Jie Liu (15128)

    Published 2025
    “…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”
  17. 177

    Approval by the research ethics committee. by Jie Liu (15128)

    Published 2025
    “…The Morisky score of the roxadustat group was higher [7 (5, 8) vs. 6 (4, 8), <i>P</i> < 0.01]. The drug cost of the roxadustat group was higher, but another additional cost for correcting anemia was significantly reduced. …”
  18. 178

    Underlying numerical data for Figs 1–7 and S1-S6. by Sreya Das (20531295)

    Published 2025
    “…We show that <i>PIF4</i> promoter activity is higher in the <i><i>pif4</i></i> mutant but significantly reduced in <i>PIF4</i> overexpression transgenic lines. …”
  19. 179

    Patient status overview. by Farayi Kaseke (19560197)

    Published 2024
    “…Age was a significant risk factor, with individuals aged 45–65 and those over 65 years showing higher adjusted hazard ratios 3.4 (95% CI: 1.42, 8.36) and 3.7(95%CI:1.44, 9.36), respectively, relative to those below 45 years of age. …”
  20. 180

    Detailed information of the observation datasets. by Weidong Ji (129916)

    Published 2025
    “…Understanding spatial-temporal characteristics of wind speed is significant in meteorology, coastal engineering design and maritime industries. …”