Showing 12,841 - 12,860 results of 19,776 for search '(( significantly ((mean decrease) OR (a decrease)) ) OR ( significant increase decrease ))', query time: 0.67s Refine Results
  1. 12841
  2. 12842

    Swimming endurance training reduces T-wave amplitude and area in <i>Mib1</i><sup><i>flox</i></sup><i>;Tnnt2</i><sup><i>Cre</i></sup> mice. by Vítor S. Fernandes (21262991)

    Published 2025
    “…<p><b>(A)</b> Representative QRS complex and T-wave, with (A’) a close-up of the T-wave in WT and <i>Mib1</i><sup><i>flox</i></sup><i>;Tnnt2</i><sup><i>Cre</i></sup> mice before the swimming protocol. …”
  3. 12843

    Table 1_Multi-omics-based phenotyping of AFG3L2-mutant lymphoblasts determines key factors of a pathophysiological interplay between mitochondrial vulnerability and neurodegenerati... by Menekse Oeztuerk (20756606)

    Published 2025
    “…Metabolomic profiling did not reveal any significant findings. Our comprehensive investigation into loss of functional AFG3L2 elucidates a pathophysiology extending beyond mitochondrial proteostasis, implicating a wide array of cellular processes. …”
  4. 12844

    Image 1_Multi-omics-based phenotyping of AFG3L2-mutant lymphoblasts determines key factors of a pathophysiological interplay between mitochondrial vulnerability and neurodegenerati... by Menekse Oeztuerk (20756606)

    Published 2025
    “…Metabolomic profiling did not reveal any significant findings. Our comprehensive investigation into loss of functional AFG3L2 elucidates a pathophysiology extending beyond mitochondrial proteostasis, implicating a wide array of cellular processes. …”
  5. 12845

    Table1_Assessing physical fitness adaptations in collegiate male soccer players through training load parameters: a two-arm randomized study on combined small-sided games and runni... by YanXiu Quan (19645810)

    Published 2024
    “…Although there were positive trends in variables such as RSA and 30-15IFT, these changes were modest and not statistically significant. The results suggest that while the combined SSGs and HIIT approach shows potential, its impact on physical fitness over a 4-week period is limited, with some variables, like CMJ, even showing decreases.…”
  6. 12846

    Minimum data set used in the article. by Shizhen Xu (4474321)

    Published 2025
    “…Overall, converting forestland and grassland to cropland significantly reduced soil carbon-sequestration capacity, shifting them from “carbon sinks” to “carbon sources” and increasing carbon emission risks. …”
  7. 12847

    Concentrations of C, N, and P in time change. by Shizhen Xu (4474321)

    Published 2025
    “…Overall, converting forestland and grassland to cropland significantly reduced soil carbon-sequestration capacity, shifting them from “carbon sinks” to “carbon sources” and increasing carbon emission risks. …”
  8. 12848
  9. 12849

    Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  10. 12850

    Counting results on DRPD dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  11. 12851

    Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  12. 12852

    Main module structure. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  13. 12853

    Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  14. 12854

    Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  15. 12855

    Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  16. 12856

    Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  17. 12857

    Counting results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  18. 12858

    Example images from four plant datasets. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  19. 12859

    Counting results on RFRB dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”
  20. 12860

    Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…This is particularly true in the agricultural field, where there is a multitude of crop types and a complex and variable environment. …”