Showing 1,001 - 1,020 results of 18,436 for search 'significantly ((((lower decrease) OR (((we decrease) OR (a decrease))))) OR (teer decrease))', query time: 0.68s Refine Results
  1. 1001
  2. 1002

    Presentation 1_Prehospital tranexamic acid decreases early mortality in trauma patients: a systematic review and meta-analysis.pdf by Yi Li (1144)

    Published 2025
    “…</p>Conclusion<p>Prehospital TXA decreases early (24-h) mortality in trauma patients without a significant increase in the risk of VTE and other complications, and further studies are still needed to improve and optimize its management strategy.…”
  3. 1003
  4. 1004
  5. 1005

    Raw data. by Saeedeh Abbasi (9423189)

    Published 2025
    “…However, both groups exhibited a significant decrease in CCI during prolonged standing (time *  condition: p =  0.003). …”
  6. 1006

    Data. by Saeedeh Abbasi (9423189)

    Published 2025
    “…However, both groups exhibited a significant decrease in CCI during prolonged standing (time *  condition: p =  0.003). …”
  7. 1007
  8. 1008
  9. 1009

    Raw data. by Jia Zhu (135506)

    Published 2025
    “…The remaining working conditions did not exhibit a significant difference. However, the observed decreasing trend was consistent with previously documented research. …”
  10. 1010
  11. 1011
  12. 1012
  13. 1013
  14. 1014

    Fig 4 - by Hyuk Sung Yoon (20208672)

    Published 2024
    Subjects:
  15. 1015

    Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

    Published 2025
    “…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  16. 1016

    Hyperparameter ranges by Eloy Geenjaar (21533195)

    Published 2025
    “…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  17. 1017

    Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

    Published 2025
    “…While many tr-FC approaches have been proposed, most are linear approaches, e.g. computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
  18. 1018

    AUT00201 (1 µM) can rescue AP width in cuprizone mice. by Sara Hijazi (21656615)

    Published 2025
    “…In the responsive cells from cuprizone mice (red) a significant increase in PV interneuron firing frequency at lower current steps (gray) was observed (<i>group x current two-way repeated measures: n = 8 cells from 4 mice: p = 0.05287; AUT00201 effect: F(1,60) = 5.050, *p = 0.0457. …”
  19. 1019
  20. 1020