Showing 1 - 20 results of 2,829 for search '(( based ((semi decrease) OR (we decrease)) ) OR ( ai ((larger decrease) OR (marked decrease)) ))', query time: 0.49s Refine Results
  1. 1

    Overview of the WeARTolerance program. by Ana Beato (20489933)

    Published 2024
    “…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”
  2. 2

    Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study by Qing Hao (566198)

    Published 2024
    “…<p>This randomised controlled study was aimed at investigating the effects of WeChat-based cognitive behavioural stress management (WB-CBSM) on the mental health of patients with early-stage cervical cancer treated with surgical resection.…”
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  14. 14

    Comparisons of outcomes based on OHAT-J. by Misaki Nakamura (756854)

    Published 2025
    “…<div><p>Low body weight is associated with decreased capacity for performing activities of daily living (ADLs) after discharge in patients with heart failure (HF). …”
  15. 15
  16. 16

    MO-SAM segmentation performance using the Grid method in arid/semi-arid landscape. by Qitong Wang (15279695)

    Published 2025
    “…Legend: It shows three rows of three satellite images, annotations, and MO-SAM performance for the Grid method in semi-arid landscapes. Each row is a different mineral commodity: Lithium (Li), Rare Earth Elements (REE), and Platinum Group Elements (PGE). …”
  17. 17
  18. 18
  19. 19

    DATA: Response diversity increases functional but decreases compositional stability of grassland communities by Robert Junker (19802088)

    Published 2025
    “…<p dir="ltr">Response diversity is assumed to underly ecosystem stability, but experimental evidence is lacking. We introduce a novel way to quantify response diversity based on performance-environment relationships. …”
  20. 20

    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”