Showing 941 - 960 results of 17,084 for search '(( 59 ((0 decrease) OR (a decrease)) ) OR ( 50 ((teer decrease) OR (mean decrease)) ))', query time: 0.73s Refine Results
  1. 941
  2. 942
  3. 943
  4. 944
  5. 945
  6. 946
  7. 947
  8. 948
  9. 949

    ANOVA for mean germination time. by Ahad Asghari (20615202)

    Published 2025
    “…The results revealed that increasing PAW levels up to 0.18 min/mL led to an increase in seed germination percentage, seedling weight (both fresh and dry), seedling length, vigor indexes A and B, and water uptake and decreasing mean germination time. Increasing the level of PAW by more than 0.18 min/mL had a negative effect on these parameters. …”
  10. 950
  11. 951
  12. 952
  13. 953
  14. 954
  15. 955
  16. 956

    DataSheet_1_METTL3-Mediated N6-Methyladenosine Modification of Trim59 mRNA Protects Against Sepsis-Induced Acute Respiratory Distress Syndrome.docx by Yi Chen (38576)

    Published 2022
    “…Furthermore, we identified tripartite motif-containing (Trim)59 as a key m<sup>6</sup>A effector and Trim59 deficiency exacerbated lung injury. …”
  17. 957

    Process of model building. by Gazi Md. Salahuddin Mamun (13905678)

    Published 2023
    “…Using these six predictors, we created a parsimonious model with a discriminatory performance of 0.691, as measured by area under the receiving operating curve (AUC). …”
  18. 958

    De-identified external validation dataset. by Gazi Md. Salahuddin Mamun (13905678)

    Published 2023
    “…Using these six predictors, we created a parsimonious model with a discriminatory performance of 0.691, as measured by area under the receiving operating curve (AUC). …”
  19. 959

    Partial dependency plots of the top 6 predictors. by Gazi Md. Salahuddin Mamun (13905678)

    Published 2023
    “…Using these six predictors, we created a parsimonious model with a discriminatory performance of 0.691, as measured by area under the receiving operating curve (AUC). …”
  20. 960

    De-identified derivation dataset. by Gazi Md. Salahuddin Mamun (13905678)

    Published 2023
    “…Using these six predictors, we created a parsimonious model with a discriminatory performance of 0.691, as measured by area under the receiving operating curve (AUC). …”