Showing 181 - 200 results of 658 for search '(( tracking ((a decrease) OR (nn decrease)) ) OR ( ct ((values decrease) OR (largest decrease)) ))', query time: 0.32s Refine Results
  1. 181
  2. 182
  3. 183
  4. 184
  5. 185
  6. 186
  7. 187
  8. 188
  9. 189
  10. 190
  11. 191
  12. 192
  13. 193

    Image 1_Spawning habitat selection in Schizothorax wangchiachii using acoustic tagging and tracking.png by Bo Li (112195)

    Published 2025
    “…Introduction<p>As a key protected species in the lower reaches of the Jinsha River, Schizothorax wangchiachii plays a vital role in maintaining aquatic ecosystem stability. …”
  14. 194
  15. 195
  16. 196

    Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

    Published 2025
    “…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV<sub>mean</sub> in patients with obesity, 3.6 ± 0.1; SUV<sub>mean</sub> in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”
  17. 197
  18. 198
  19. 199

    Table 1_Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a cardiac magnetic resonance feature-tracking study.docx by XiaoFeng Qu (20718092)

    Published 2025
    “…</p>Conclusion<p>CMR-FT can detect left-sided myocardial function damage in patients with comorbid burden but without organic heart disease prior to a decrease in LVEF. Comorbid burden combined with male sex, PBG, and FBG showed excellent predictive ability for LV myocardial function damage. …”
  20. 200

    Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

    Published 2025
    “…Such use of PLMs for modeling, tracking, and automatically classifying language recovery in aphasia represents a promising deployment of GenAI in a clinical rehabilitation setting. …”