Showing 19,821 - 19,840 results of 42,357 for search '(( 50 ((ng decrease) OR (((mean decrease) OR (a decrease)))) ) OR ( a point decrease ))', query time: 1.15s Refine Results
  1. 19821

    Disordered cone packing obtained from simulations. by Pamela A. Raymond (142692)

    Published 2014
    “…The elimination of UV cones is modeled by loss of cell edges via successive T1 transitions with a simultaneous decrease in cell area (see Methods for details). …”
  2. 19822

    Image3_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.tif by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  3. 19823

    Image2_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.tif by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  4. 19824

    Datasheet2_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.zip by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  5. 19825

    Datasheet1_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.zip by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  6. 19826

    Datasheet3_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.zip by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  7. 19827

    Image1_Identification of two novel ferroptosis-associated targets in sepsis-induced cardiac injury: Hmox1 and Slc7a11.tif by Yushun Xu (16428834)

    Published 2023
    “…GSEA enrichment analysis demonstrated that ferroptosis pathway Z-score rapidly increased in the first 24 h and decreased gradually in the following 24–72 h. Fuzzy analysis was then used to obtain distinct clusters of temporal patterns and find genes in cluster 4 that exhibited the same trend with ferroptosis progression during the time points. …”
  8. 19828

    Differences in predictions by Tabitha A. Graves (111262)

    Published 2012
    “…<p>of relative local grizzly bear abundance between single and multiple detection method analyses for A) Females and B) Males. Light brown cells are those where the relative abundance was predicted to increase with the addition of bear rubs and decrease with the addition of hair traps. …”
  9. 19829

    Source apportionment of PM<sub>2.5</sub> at IMPROVE monitoring sites within and outside of marine vessel fuel sulfur emissions control areas by Robert A. Kotchenruther (11235072)

    Published 2021
    “…In contrast, the Virgin Islands, Big Bend, and Baengnyeong Island South Korea IMPROVE sites were impacted by RFO combustion and were largely or wholly influenced by air masses from outside of an emissions control area. These sites saw a statistically significant 14.0% increase, a 21.0% decrease, or no statistically significant change, respectively, when comparing time periods pre and post ECA enforcement.…”
  10. 19830
  11. 19831
  12. 19832
  13. 19833
  14. 19834
  15. 19835
  16. 19836
  17. 19837
  18. 19838
  19. 19839
  20. 19840