Model framework. by Jianrong Cai (14245136)

Subjects:

Vehicle travel time. by Jianrong Cai (14245136)

Subjects:

SD under different penetration rates. by Jianrong Cai (14245136)

Subjects:

Notation description. by Jianrong Cai (14245136)

Subjects:

Five-stage speed adjustment. by Jianrong Cai (14245136)

Subjects:

Mean TTC under different weights. by Jianrong Cai (14245136)

Subjects:

SD and mean TTC under different weights. by Jianrong Cai (14245136)

Subjects:

Parameter values. by Jianrong Cai (14245136)

Subjects:

Seasonal spatial-temporal trends of NDVI in burned areas across Africa, by countries and territories (2001–2020). by Oswaldo Maillard (20660661)

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of NAC (40 mg/kg/day, i.p.) and ibudilast (7.5 mg/kg/day, i.p.). by María Elena Quintanilla (8068691)

Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

Subjects:

Exploring the correlation between systemic inflammation biomarkers and HCV infection (logarithm base 2). by Lu Han (151620)

Subjects:

Threshold effect analysis of systemic inflammatory biomarkers on hepatitis C using two-piece wise linear regression. by Lu Han (151620)

Subjects:

Exclusion and enrollment summary from NHANES. by Lu Han (151620)

Subjects:

Demographic information and baseline population characteristics. by Lu Han (151620)

Subjects:

Stratified associations between systemic inflammation biomarkers and hepatitis C (OR 95%, <i>P</i> value, LOG base 2). by Lu Han (151620)

Subjects:

General addictive models demonstrate the relationship between systemic inflammatory biomarkers and anti-HCV. by Lu Han (151620)

Subjects:

Comparison of systemic inflammation biomarkers in infected and uninfected populations. by Lu Han (151620)

Subjects:

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. …”