Showing 10,681 - 10,700 results of 48,433 for search '(( a ((mean decrease) OR (linear decrease)) ) OR ( a ((latent decrease) OR (largest decrease)) ))', query time: 0.97s Refine Results
  1. 10681

    Axial force in the pressure zone. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  2. 10682

    Pile-soil interaction. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  3. 10683

    Bending moment in the tension zone. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  4. 10684

    Sketch of forces on vertical and inclined piles. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  5. 10685

    Displacement cloud maps. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  6. 10686

    Morphing mesh. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  7. 10687

    Bending moment in the pressure zone. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  8. 10688

    Axial forces in the tension zone. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  9. 10689

    VPF and VIPF. by Maogang Tian (21485116)

    Published 2025
    “…Furthermore, parametric studies reveal that the pile base displacement exhibits a non-linear trend of initially decreasing and then increasing with larger inclination angles of the inclined piles. …”
  10. 10690

    Rabbit length of stay data. by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  11. 10691

    Surrender reasons (n = 649). by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  12. 10692

    R script. by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  13. 10693

    Surrender reasons and descriptions. by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  14. 10694

    Number of rabbit intakes by intake year. by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  15. 10695

    Rabbit intake data. by Ashley Sum Yin U. (18437434)

    Published 2024
    “…The median LOS of rabbits was 29 days, highlighting the pressing need to improve their time to adoption. A linear model was constructed to identify predictors of LOS of adopted rabbits (n = 1203) and revealed that intake year, intake month, source of intake, age, cephalic type, and breed size significantly predicted time to adoption for rabbits (F(37, 1165) = 7.95, <i>p</i> < 2.2e-16, adjusted R<sup>2</sup> = 0.18). …”
  16. 10696
  17. 10697
  18. 10698

    Conceptual framework (Adapted from Abidin, 1995). by Rachel Brathwaite (767994)

    Published 2023
    “…Secondly, focal correlates were included in the cross-fit partialing out lasso linear/logistic regression (double machine-learning) model. …”
  19. 10699

    Study dataset. by Rachel Brathwaite (767994)

    Published 2023
    “…Secondly, focal correlates were included in the cross-fit partialing out lasso linear/logistic regression (double machine-learning) model. …”
  20. 10700