Value ranges of three representative points. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Signalized intersection in Kunshan. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 2. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Survey data of the intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

The main notations used in this paper. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Feedback elimination for feedback queue. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

A typical cross signalized intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Four signal stages for the intersection. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 3. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Dynamic system state in demand scenarios 1. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

Characteristics comparison of related literature. by Bin Zhao (276445)

“…<div><p>Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. …”

RNAi targeting of <i>upd3</i> expression in muscle of <i>Gpdh1; Ldh</i> double mutant partially suppresses the developmental arrest phenotype. by Madhulika Rai (4352803)

<i>upd3</i> loss-of-function mutations suppress the synthetic lethal phenotype of <i>Gpdh1</i>^{<i>A10/B18</i>}<i>; Ldh</i>^<i>16/17</i> double mutants. by Madhulika Rai (4352803)

The framework of this study. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Ecological risk level and area from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Area of land use types from 2000 to 2020. by Yin Yu (3139023)

“…The results show that (1) the landscape pattern changed visibly from 2000 to 2020, the comprehensive land-use dynamics increased from 8.53% to 9.66%, and the land use dynamics are greatest and change most dramatically on construction sites; (2) the landscape ecological risk level of the study area as a whole showed a declining trend, and 96.82% of the ecological risk plot index decreased, and the risk distribution was dominated by lower risk, medium risk and higher risk areas; (3) landscape ecological risk was spatially positively correlated across all time periods, and the spatial aggregation was gradually weakened, with the distribution of LH and HL areas dispersed and the distribution of HH and LL areas concentrated. …”

Sequential viral infection is associated with reduced antibody response to intramuscular and intranasal ChAd-SARS-CoV-2 vaccination. by Yuhao Li (1559569)

Sequential viral exposure modulates antibody levels and B cell lineages in tissues. by Yuhao Li (1559569)

Sequential viral infections in adult mice beginning at 8 weeks of age stimulates a subset of immune phenotypes. by Yuhao Li (1559569)

Sequential viral exposure shapes immune cell profiles in tissues. by Yuhao Li (1559569)