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Your search keyword '"Chenxuan Yang"' showing total 3 results
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3 results on '"Chenxuan Yang"'

2. Establishment and validation of a gasdermin signature to evaluate the immune status and direct risk‐group classification in luminal‐B breast cancer

Author

Xiangzhi Meng, Jiaxiang Liu, Bo Zheng, Xin Wang, Jianming Ying, Chenxuan Yang, Qingyao Shang, Xiang Wang, Changyuan Guo, Yueping Liu, Li Ma, Shuangtao Zhao, and Kexin Feng

Subjects
BRCA2 Protein, Pore Forming Cytotoxic Proteins, Oncology, Immune status, medicine.medical_specialty, Medicine (General), Luminal B Breast Cancer, business.industry, Ubiquitin-Protein Ligases, Medicine (miscellaneous), Breast Neoplasms, Letter to Editor, Risk Assessment, Risk groups, R5-920, Internal medicine, Biomarkers, Tumor, Humans, Molecular Medicine, Medicine, Female, business, Proportional Hazards Models
Published
2021

3. An iterative group-based signal optimization scheme for traffic equilibrium networks

Author

Sze Chun Wong and Chenxuan Yang

Subjects
Economics and Econometrics, Signal processing, Optimization problem, Operations research, Computer science, Strategy and Management, Mechanical Engineering, Flow network, Signal, Computer Science Applications, Traffic flow (computer networking), Rate of convergence, Automotive Engineering, Convergence (routing), Assignment problem, Algorithm
Abstract

This paper presents an iterative scheme for a combined signal optimization and assignment problem, using a traffic model from the well-known procedure TRANSYT. The signal settings are optimized by means of a group based technique, in which the signal timings are specified by the common cycle time, the start time and duration of the period of right of way for each signal group in the network. The optimization problem was formulated as integer program and solved by a set of heuristics. Given the optimized signal settings determined from the group-based technique, a path-based assignment algorithm is employed to obtain the equilibrium traffic pattern using the sensitivity information for TRANSYT model. Based on the equilibrium flow pattern, the group-based optimization algorithm is then used to determine a better set of signal timings. The procedure is repeated until certain convergence criteria are satisfied. A numerical example is employed to demonstrate the benefits obtained from this iterative scheme.

Published
1999

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