يعرض 2,241 - 2,260 نتائج من 8,950 نتيجة بحث عن 'significantly ((((lower decrease) OR (we decrease))) OR (larger decrease))', وقت الاستعلام: 0.45s تنقيح النتائج
  1. 2241

    IOP fluctuation. حسب Adela Klezlova (22608008)

    منشور في 2025
    "…In the study group, the IOP was statistically significantly lower by 29% at the end of the follow-up compared to the preoperative measurements (<i><i>p</i></i> = 0.009). …"
  2. 2242

    IOP fluctuation. حسب Adela Klezlova (22608008)

    منشور في 2025
    "…In the study group, the IOP was statistically significantly lower by 29% at the end of the follow-up compared to the preoperative measurements (<i><i>p</i></i> = 0.009). …"
  3. 2243
  4. 2244

    Statins resulted in smaller neuronal soma size. حسب Shuk C. Tsoi (21192243)

    منشور في 2025
    "…Statin treatment decreased cell sizes in the larger cells more than in the smaller cells as seen in the greater divergence between lines plotted for larger cell somas (bottom panel). …"
  5. 2245
  6. 2246
  7. 2247
  8. 2248

    Fig 1B raw image. حسب Rachel K. Meade (22216529)

    منشور في 2025
    "…From a Ugandan household contact study, we identify significant associations between <i>CTSZ</i> variants and TB disease severity. …"
  9. 2249

    S1A Fig raw image. حسب Rachel K. Meade (22216529)

    منشور في 2025
    "…From a Ugandan household contact study, we identify significant associations between <i>CTSZ</i> variants and TB disease severity. …"
  10. 2250

    Renal outcomes of both treatment groups. حسب Marwan El-Deyarbi (21688492)

    منشور في 2025
    "…</p><p>Conclusions</p><p>Implementing multifactorial interventions by a multidisciplinary team improved several clinical manifestations, including HbA1c, SBP, and eGFR, and decreased cardiovascular risk factors despite the decreased diabetes medication use.…"
  11. 2251

    Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  12. 2252

    Fitting formula parameter table. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  13. 2253

    Test plan. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  14. 2254

    Fitting surface parameters. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  15. 2255

    Model generalisation validation error analysis. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  16. 2256

    Empirical model prediction error analysis. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  17. 2257

    Fitting curve parameters. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  18. 2258

    Test instrument. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  19. 2259

    Empirical model establishment process. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"
  20. 2260

    Model prediction error trend chart. حسب Hongqi Wang (2208238)

    منشور في 2024
    "…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …"