Showing 1,941 - 1,960 results of 55,503 for search '(( a ((mean decrease) OR (linear decrease)) ) OR ( a ((greater decrease) OR (largest decrease)) ))', query time: 0.98s Refine Results
  1. 1941

    <i>Dmd<sup>mdx</sup></i> rats are characterized by muscle weakness and by a decrease in a spontaneous activity. by Thibaut Larcher (331981)

    Published 2014
    “…<i>Dmd<sup>mdx</sup></i> rats showed fatigue with a decreased force grip across the five pulls, and significant values are obtained for the two last trials that were reduced to ∼70% when compared to Trial 1. …”
  2. 1942

    A homozygous point mutation in the <i>Mrps34</i> gene causes a decrease in the MRPS34 protein. by Tara R. Richman (713532)

    Published 2015
    “…Data are means ± SEM of three separate experiments; *, <i>p</i> < 0.05 compared with control treatments by a 2-tailed paired Student’s <i>t</i> test.…”
  3. 1943
  4. 1944

    S1 Data - by Marc S. Penn (16624541)

    Published 2023
    “…Whether such declines signify decreased risk of mortality remains unknown.</p><p>Design</p><p>Cox proportional hazard models were generated using data from a retrospective cohort study of prospectively collected measures.…”
  5. 1945
  6. 1946
  7. 1947
  8. 1948
  9. 1949
  10. 1950
  11. 1951
  12. 1952
  13. 1953

    Correlation dimension (CD) decreases with CHF. by Yujie Zhu (618667)

    Published 2014
    “…<p>(A) Summarized data for mean CD at baseline, 240 days and 720 days after AC. …”
  14. 1954

    Shannon entropy (SE) decreases with CHF. by Yujie Zhu (618667)

    Published 2014
    “…<p>(A) Summarized data for mean SE at baseline, 240 days and 720 days after AC. …”
  15. 1955
  16. 1956
  17. 1957
  18. 1958

    DCD is strikingly decreased in HS lesions. by Margaret Coates (6058580)

    Published 2019
    “…<p>(A) qPCR for <i>DCD</i> (log<sub>2</sub>FC = -3.57, *p < 0.05). …”
  19. 1959
  20. 1960

    Training set data expansion. by Qingjun Yu (1649473)

    Published 2024
    “…Based on the PyTorch deep learning framework, the initial U<sup>2</sup>-Net network weights were set, the learning rate was set to 0.001, the training batch was 4, and the Adam optimizer adaptively adjusted the learning rate during the training process. A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. …”