Showing 1 - 20 results of 8,214 for search '(( a linear decrease ) OR ((( 16 ((a decrease) OR (nn decrease)) ) OR ( a marker decrease ))))', query time: 0.79s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

    Linear regression analysis. by Young Kyu Lee (14076058)

    Published 2025
    “…</p><p> Conclusion </p><p>The HTRT group showed a greater decrease in HU both pre- and post-treatment, indicating a possible indirect marker of tumor necrosis. …”
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

    Published 2025
    “…Their median baseline variabilities of respiratory rate and tidal volume were 0.19 (IQR: 0.16–0.25) and 0.23 (0.19–0.34), respectively. While mean respiratory rate was not affected, midazolam resulted in a significant decrease in both VRR (ß = −0.071, 95% CI: −0.120 to −0.021) and VTV (ß = −0.117, 95% CI: −0.170 to −0.062). …”
  17. 17
  18. 18
  19. 19

    Table 1_NSAID use may decrease serum Klotho levels.docx by Jingchao Yan (14079168)

    Published 2025
    “…</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.</p>…”
  20. 20

    STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

    Published 2025
    “…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. Finally, the Beluga Whale Optimization (BWO)-tuned STL-PCA-BWO-BiLSTM hybrid model delivered optimal performance on test sets (RMSE = 0.22, MAE = 0.16, MAPE = 0.99%, ), exhibiting 40.7% higher accuracy than unoptimized BiLSTM (MAE = 0.27). …”