Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
linear decrease » linear increase (Expand Search)
clinical care » clinical data (Expand Search)
Showing 2,621 - 2,640 results of 25,415 for search '(( significant ((clinical care) OR (linear decrease)) ) OR ( significant decrease decrease ))', query time: 0.42s Refine Results
  1. 2621
    Fig 24 -

    Fig 24 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  2. 2622
    Specimen packaging process.

    Specimen packaging process. by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  3. 2623
    Fig 5 -

    Fig 5 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  4. 2624
    Fig 15 -

    Fig 15 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 2625
    Fig 23 -

    Fig 23 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  6. 2626
    Stress path diagram of Ⅱ, Ⅲ and Ⅳ groups of specimens.

    Stress path diagram of Ⅱ, Ⅲ and Ⅳ groups of specimens. by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 2627
    CONSORT 2025 Flow Diagram [70].

    CONSORT 2025 Flow Diagram [70]. by Robert Trybulski (10998702)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 2628
    Basic mechanical parameters of concrete specimens.

    Basic mechanical parameters of concrete specimens. by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  9. 2629
    Fig 19 -

    Fig 19 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  10. 2630
    Fig 8 -

    Fig 8 - by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  11. 2631
    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and heart rate (HR) across the three conditions.

    Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 2632
    Mean values and 95% confidence intervals for resting flow, arterial occlusion pressure (AOP), biological zero, reactive hyperemia (RHmax), and time to peak across the three conditions.

    Mean values and 95% confidence intervals for resting flow, arterial occlusion pressure (AOP), biological zero, reactive hyperemia (RHmax), and time to peak across the three conditi... by Robert Trybulski (10998702)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 2633
    Percentage reduction of shear strength parameters.

    Percentage reduction of shear strength parameters. by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  14. 2634
    Relationship between τ<sub><i>i</i></sub> and σ<sub><i>i</i></sub>.

    Relationship between τ<sub><i>i</i></sub> and σ<sub><i>i</i></sub>. by Zhezhe Zhang (19704587)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  15. 2635
    Data Sheet 1_Treating status epilepticus in clinical practice—a multi-national survey in Germany, Austria, and Switzerland.docx

    Data Sheet 1_Treating status epilepticus in clinical practice—a multi-national survey in Germany, Austria, and Switzerland.docx by Leona Möller (4900936)

    Published 2025
    “…Background<p>Status epilepticus (SE) is a life-threatening neurological emergency, and exhibits significant variability in clinical management despite established guidelines. …”
    Save to List
    Saved in:
  16. 2636
    Table 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx

    Table 2_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

    Published 2025
    Save to List
    Saved in:
  17. 2637
    Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 4_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
    Save to List
    Saved in:
  18. 2638
    Image 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
    Save to List
    Saved in:
  19. 2639
    Image 3_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif

    Image 3_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.tif by Yiqu Wei (22011386)

    Published 2025
    Save to List
    Saved in:
  20. 2640
    Table 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx

    Table 1_Significant adverse prognostic events in patients with urosepsis: a machine learning based model development and validation study.docx by Yiqu Wei (22011386)

    Published 2025
    Save to List
    Saved in:

Search Tools: