ST2+ KLRG-1+ Tregs from <i>T</i>. <i>cruzi</i> infected mice exhibit a phenotype compatible with <i>bona fide</i> trTregs. by Santiago Boccardo (5927954)

Artwork demonstrating the principal tSCI compression subtypes. by Harshit Arora (22008280)

Univariate relationship in spatial patterns between nodal entropy and structural brain features within each scan in children. by Tianyuan Lei (19683861)

The quality of PPG signals measured at different sensor heights. by Peter H. Charlton (11389289)

Age prediction based on spatial patterns of nodal overlap. by Tianyuan Lei (19683861)

The quality of PPG signals measured in different postures: by Peter H. Charlton (11389289)

Spatial patterns of developmental changes in nodal entropy using different statistical models. by Tianyuan Lei (19683861)

Connectivity (frontal, axial, and sagittal planes) and color maps of between-group analysis of the tDCS intervention. by Rael Lopes Alves (7877942)

“…<p>The colored edge represents connections with significant differences. (A) Maps shows decreased connectivity between left ACC and right INS in the HB-a-tDCS on DLPFC group in the delta frequency band which present large effect size (Cohen’s d = 1.69). …”

Spatial patterns of nodal module overlap (i.e., nodal entropy) for different network analysis strategies and their relationships with the main results. by Tianyuan Lei (19683861)

Spatial patterns of developmental changes in nodal entropy for different thresholding strategies. by Tianyuan Lei (19683861)

Cognitive function decoding of brain regions. by Tianyuan Lei (19683861)

Longitudinal development of overlapping functional modules at the global and nodal levels. by Tianyuan Lei (19683861)

Longitudinal development of the overlapping functional modules at the system level. by Tianyuan Lei (19683861)

Inflammatory and microbial-derived signals are unable to restrict IL-33 mediated expansion of trTregs <i>in vitro</i>. by Santiago Boccardo (5927954)

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

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”

Signalized intersection in Kunshan. by Bin Zhao (276445)

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”

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

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”

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

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”

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

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”

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

“…Numerical experiments using actual survey data from Kunshan City yield several noteworthy findings: (1) An optimal moderate-sized time step exists for rolling optimization to minimize either the average delay time or total costs; specifically, an excessively small time step may increase vehicle average delay time or total costs; (2) The percentage of delay reduction achieved by our method, compared to Synchro software, reaches a maximum of approximately 70% when traffic demand is moderate and the initial state is low; and (3) The percentage reduction in average delay or total costs compared to Synchro initially increases and then decreases with rising traffic intensity.…”