Showing 2,901 - 2,920 results of 4,694 for search '(( significant decrease decrease ) OR ( significance test decrease ))~', query time: 0.54s Refine Results
  1. 2901

    Footprints of Pr77<sup>Gag</sup> on the WT and LRI-I mutant packaging signal RNAs. by Suresha G. Prabhu (19797666)

    Published 2024
    “…All nucleotides that show a reactivity decrease >40% upon Gag addition, also show statistically significant difference according to the Mann–Whitney non parametrical U test (<i>p</i> < 0.05). …”
  2. 2902

    Footprints of Pr77<sup>Gag</sup> on the WT structure model. by Suresha G. Prabhu (19797666)

    Published 2024
    “…All nucleotides that show a reactivity decrease >40% upon Gag addition, also show statistically significant difference according to the Mann–Whitney non parametrical U test (<i>p</i> < 0.05). …”
  3. 2903

    Footprints of Pr77<sup>Gag</sup> on WT and LRI-IV mutant packaging signal RNAs. by Suresha G. Prabhu (19797666)

    Published 2024
    “…All nucleotides that show a reactivity decrease >40% upon Gag addition, also show statistically significant difference according to the Mann–Whitney non parametrical U test (<i>p</i> < 0.05). …”
  4. 2904
  5. 2905

    Footprints of Pr77<sup>Gag</sup> on the WT and LRI-III mutant packaging signal RNAs. by Suresha G. Prabhu (19797666)

    Published 2024
    “…All nucleotides that show a reactivity decrease >40% upon Gag addition, also show statistically significant difference according to the Mann–Whitney non parametrical U test (<i>p</i> < 0.05). …”
  6. 2906

    Supporting informations. by Marilena Bazzano (12277574)

    Published 2025
    “…</p><p>Results</p><p>15 minutes after CBD administration, IOP (time zero 27.3 ± 2.1 mmHg right eye; 24.6 ± 2.3 mmHg left eye) started to decrease (19.5 ± 5.2 mmHg right eye; 20.8 ± 2.4 mmHg left eye) and 1 hour later CBD it reached the minimum level in all horses (11.4 ± 7.5 mmHg right eye; 9.5 ± 5.8 mmHg left eye), remaining statistically significantly lower than normal values for the entire observation period (8 hours; 12.0 ± 7.9 mmHg right eye; 11.9 ± 7.8 mmHg left eye).…”
  7. 2907
  8. 2908

    Supplementary file 1_Proof-of-concept of a prior validated LC-MS/MS method for detection of N-lactoyl-phenylalanine in dried blood spots before, during and after a performance diag... by H. Bauhaus (22335913)

    Published 2025
    “…No statistical difference between the two test occasions was seen. Sex-specific differences were observed, with female subjects showing significantly higher lac-phe concentrations than male subjects (p < 0.05) at time-to-exhaustion after the first incremental test and at the onset of the second incremental test. …”
  9. 2909
  10. 2910
  11. 2911
  12. 2912

    Cortical and subcortical regions feature distinct early and late responses during audition. by Sarah H. McGill (22505225)

    Published 2025
    “…The mean no-stimulus trial spectrograms were subtracted from the mean maximum-intensity trial spectrograms, and a cluster-based permutation testing was employed to identify significant differences between the conditions (p < 0.05, 5000 iterations). …”
  13. 2913

    Passive listening and go/No-go tasks feature comparable electrophysiological responses. by Sarah H. McGill (22505225)

    Published 2025
    “…The mean no-stimulus trial spectrograms were subtracted from the mean maximum-intensity trial spectrograms, and a cluster-based permutation testing was employed to identify significant differences between the conditions (p < 0.05, 5000 iterations). …”
  14. 2914

    Subject characteristics. by Barbara Mayr (7065950)

    Published 2024
    “…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”
  15. 2915

    Raw data. by Barbara Mayr (7065950)

    Published 2024
    “…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”
  16. 2916

    Flow diagram. by Barbara Mayr (7065950)

    Published 2024
    “…We found a significant increase both times for miR-103a (glycolysis, %change base: +12%, post +17%), miR-146a (inflammation, %change base: +20%, post +21%), and miR-222 (cardiac remodeling, %change base: +10%, post +21%), while miR-30a (inflammation, %change base: -27%, post: -38%) decreased significantly (all p≤0.043).…”
  17. 2917

    Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study by Tháfanys S. Travezani (20609398)

    Published 2025
    “…However, the <i>y</i>-permutation test demonstrated that this result was random. These results indicate that there is no significant difference in the systemic profile of rats subjected to ovariectomy surgery for 15 days when analyzed using mid-infrared spectroscopy.…”
  18. 2918

    Experiment environment and parameter. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  19. 2919

    DARTS algorithm process. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
  20. 2920

    Comparison result of memory usage. by Yuxuan Ji (13991895)

    Published 2025
    “…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”