Showing 10,381 - 10,400 results of 47,792 for search '(( a ((((teer decrease) OR (mean decrease))) OR (linear decrease)) ) OR ( a largest decrease ))', query time: 0.80s Refine Results
  1. 10381

    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. 10382

    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. 10383

    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. 10384

    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. 10385

    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. 10386

    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. 10387

    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. 10388

    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. 10389

    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. 10390

    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. 10391

    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. 10392

    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. 10393

    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. 10394

    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. 10395

    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. 10396
  17. 10397
  18. 10398

    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. 10399

    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. 10400