(a) Measuring device; (b) Measuring method. by Chenhao Li (822769)

“…Although increasing SHMP content improved the early strength, it led to a decrease in later strength, with the maximum late strength observed at 2% SHMP. …”

Data Sheet 1_Impact of a multifaceted intervention including a smart reminder system for intraoperative antibiotic re-dosing on surgical site infections in a Chinese tertiary care... by Cuiqiong Fan (17651671)

“…The proportion of intraoperative additional antibiotic administration also increased significantly (p = 0.003). Furthermore, the rate of SSIs decreased significantly after the intervention (p = 0.038).…”

Data Sheet 1_The TFRC as a prognostic biomarker and potential therapeutic target in cervical cancer: a preliminary study.docx by Jing Wang (6206297)

“…We constructed a nomogram model, TFRC contributed significantly to the prognosis and exhibited good predictive power for the OS and the DSS. …”

Kaplan-Meier plot. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Characteristics of the study sample. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Multivariate associations with incident leprosy. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Univariate associations with incident leprosy. by Nand Lal Banstola (10510379)

“…</p><p>Findings</p><p>All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. …”

Effect of the POM cycles on selected metabolites. by Bonnie A. McNeil (22331601)

Assembly error angle of a single spline. by Zhe Hu (787283)

“…Then, the LSTM model is trained using this sliding window approach, achieving a root mean square error(RMSE) of 0.03 on the test set. …”

Data_Sheet_1_Effects of a 30-min rest with a nap chair on task performance, sleepiness, and neurophysiological measures in men with suspected brain fatigue: a randomized controlled... by Minoru Fujino (12742196)

“…The Karolinska Sleepiness score significantly decreased after the nap-chair rest, and the between-treatment difference in the decrease was highly significant (P = 0.0004). …”

Transient suppression of autophagy in neurons impairs ITM. by Tong Yue (6033305)

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

Signalized intersection in Kunshan. by Bin Zhao (276445)

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”

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

“…Based on the proposed feedback queueing network model, two optimization frameworks are established for traffic signal control, aimed at minimizing either the average vehicle delay time or total costs, including fuel consumption. We propose a rolling optimization strategy that incorporates the mesh adaptive direct search algorithm to achieve real-time traffic signal control. …”