Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

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Base-case analysis. by Yiping An (20609789)

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Cost-effectiveness acceptability curve. by Yiping An (20609789)

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Markov model. by Yiping An (20609789)

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Incremental cost-effectiveness scatter plot. by Yiping An (20609789)

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One-way sensitivity analysis. by Yiping An (20609789)

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ICER changes with time horizon. by Yiping An (20609789)

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<i>Kif15</i> deficient mice exhibit both depressive and manic behaviors in adulthood. by Xiaomei He (795333)

Data. by Aroon La-up (14095691)

“…This study found a statistically significant decrease in BMD in the group with the lowest U-Cd levels (<2.0 μg/g creatinine, p = 0.001) and in the overall sample (from 0.392 ± 0.079 μg/g creatinine in 2019 to 0.384 ± 0.094 μg/g creatinine in 2022, p = 0.004). …”

Comparison with Existing Studies. by Na Zhao (112953)

“…The results indicate that: (1) the presence of pores prolongs both the time to failure and the onset of the AE burst stage, with longer durations observed at higher pore dip angles; (2) AE signal amplitude and frequency vary significantly across different loading stages, and the b-value exhibits an “increase–fluctuation–decrease” trend, with the decreasing stage serving as a precursor to rock instability; (3) pore dip angle strongly influences crack propagation types: dip angles of 0°–30° favor axial cracks and through-going wing cracks, 45°–75° angles tend to induce co-planar and wing crack connectivity, while 90° angles cause crack deviation, hindering through-going failure; (4) intact rock fails in a tensile–shear mixed mode, whereas the number of shear cracks in rocks with pores initially increases and then decreases with dip angle, reaching a maximum at 45°, resulting in shear-dominated failure. …”

Specimen Preparation and Experimental Setup. by Na Zhao (112953)

“…The results indicate that: (1) the presence of pores prolongs both the time to failure and the onset of the AE burst stage, with longer durations observed at higher pore dip angles; (2) AE signal amplitude and frequency vary significantly across different loading stages, and the b-value exhibits an “increase–fluctuation–decrease” trend, with the decreasing stage serving as a precursor to rock instability; (3) pore dip angle strongly influences crack propagation types: dip angles of 0°–30° favor axial cracks and through-going wing cracks, 45°–75° angles tend to induce co-planar and wing crack connectivity, while 90° angles cause crack deviation, hindering through-going failure; (4) intact rock fails in a tensile–shear mixed mode, whereas the number of shear cracks in rocks with pores initially increases and then decreases with dip angle, reaching a maximum at 45°, resulting in shear-dominated failure. …”

UCS texts data. by Na Zhao (112953)

“…The results indicate that: (1) the presence of pores prolongs both the time to failure and the onset of the AE burst stage, with longer durations observed at higher pore dip angles; (2) AE signal amplitude and frequency vary significantly across different loading stages, and the b-value exhibits an “increase–fluctuation–decrease” trend, with the decreasing stage serving as a precursor to rock instability; (3) pore dip angle strongly influences crack propagation types: dip angles of 0°–30° favor axial cracks and through-going wing cracks, 45°–75° angles tend to induce co-planar and wing crack connectivity, while 90° angles cause crack deviation, hindering through-going failure; (4) intact rock fails in a tensile–shear mixed mode, whereas the number of shear cracks in rocks with pores initially increases and then decreases with dip angle, reaching a maximum at 45°, resulting in shear-dominated failure. …”

Distributions of Passenger Patience for the Period 1: (a) Histogram of Taxi Wait Times and PDF of Patience for 1^st Forced Stops in Zone 1; (b) CDFs of Taxi Wait Times an... by Fangyi Yang (18867853)

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Estimation Results of Each Forced Parking and Drop-off Decision Model. by Fangyi Yang (18867853)

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ROC Results Predicted in the Sample. by Fangyi Yang (18867853)

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The Drop-off Locations of Taxis for a Morning Peak Period: (a) Head taxis; (b) All taxis. by Fangyi Yang (18867853)

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Estimation Results of the Cox Proportional Hazards Model. by Fangyi Yang (18867853)

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ROC Results Predicted for Out of the Sample. by Fangyi Yang (18867853)

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ROC for Classification of Test Results: (a) ROC Curve of the First Forced Drop-off Decision Models; (b) ROC Curve of the Decision Models for Second and More Forced Parking and Drop... by Fangyi Yang (18867853)

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Kaplan-Meier Survival Curve of three 2-Categorical Variables: (a) Survival Curve by Preceding Vehicle Drop-off Status Groups; (b) Survival Curve by Drop-off Duration Groups; (c) Su... by Fangyi Yang (18867853)

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