Search alternatives:
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search), marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » greater decrease (Expand Search)
mean decrease » a decrease (Expand Search)
a largest » _ largest (Expand Search), a large (Expand Search), a latest (Expand Search)
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10381
Axial force in the pressure zone.
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. …”
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10382
Pile-soil interaction.
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. …”
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10383
Bending moment in the tension zone.
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. …”
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10384
Sketch of forces on vertical and inclined piles.
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. …”
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10385
Displacement cloud maps.
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. …”
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10386
Morphing mesh.
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. …”
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10387
Bending moment in the pressure zone.
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. …”
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10388
Axial forces in the tension zone.
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. …”
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10389
VPF and VIPF.
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. …”
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10390
Rabbit length of stay data.
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). …”
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10391
Surrender reasons (n = 649).
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). …”
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10392
R script.
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). …”
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10393
Surrender reasons and descriptions.
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). …”
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10394
Number of rabbit intakes by intake year.
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). …”
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10395
Rabbit intake data.
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). …”
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10396
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10397
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10398
Conceptual framework (Adapted from Abidin, 1995).
Published 2023“…Secondly, focal correlates were included in the cross-fit partialing out lasso linear/logistic regression (double machine-learning) model. …”
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10399
Study dataset.
Published 2023“…Secondly, focal correlates were included in the cross-fit partialing out lasso linear/logistic regression (double machine-learning) model. …”
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10400