Optimal Electric Bus Scheduling under Travel Time Uncertainty: A Robust Model and Solution Method by Mengyan Jiang, Yi Zhang, Yi Zhang

“…Comprehensive numerical experiments are conducted based on the bus routes in Shenzhen to demonstrate the effectiveness of the suggested methodology. …”
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ARCS: Adaptive Reinforcement Learning Framework for Automated Cybersecurity Incident Response Strategy Optimization by Shaochen Ren, Jianian Jin, Guanchong Niu, Yang Liu

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Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments by Hui Chen, Zhendong Wang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan

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Photoplethysmography based psychological stress detection with pulse rate variability feature differences and elastic net by Fenghua Li, Peida Xu, Shichun Zheng, Wenfeng Chen, Yang Yan, Suo Lu, Zhengkui Liu

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Experimental investigation of the precursor characteristics and early warning of coal burst based on quantitative analysis of acoustic emission signals by Xiaoling Zhao, Zhiyi Liao, Xiufeng Zhang, Cong Shen, Jianbo Zhu

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Predictive models for the surface roughness and subsurface damage depth of semiconductor materials in precision grinding by Shang Gao, Haoxiang Wang, Han Huang, Zhigang Dong, Renke Kang

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Newly identified single-nucleotide polymorphism associated with the transition from nonalcoholic fatty liver disease to liver fibrosis: results from a nested case-control study in... by Yitong Ling, Yu Xuan Yang, Yan Chun Chen, Jing Hao Wang, Dong Ge Feng, Shi Jian Xiang, Xiaoyu Zhang, Jun Lyu, Sha Sha Li

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Individual mobility prediction by considering current traveling features and historical activity chain by Xiaotong Zhang, Zhipeng Gui, Yuhang Liu, Dehua Peng, Qianxi Lan, Zhangxiao Shen, Huan Chen, Yuhui Zuo, Yao Yao, Huayi Wu, Kai Li, Kun Qin

“…Specifically, (1) we construct current traveling features by extracting real-time moving states, and represent spatiotemporal correlations between traversed road intersections using word embedding; (2) we learn travel intentions as a probability vector for each historical trip, and combine it with spatiotemporal features to construct historical activity chain; (3) we construct an individual mobility prediction model using Long Short-Term Memory (LSTM) network and spatiotemporal scoring mechanism, to capture short-term and long-term dependencies in current trip and historical activity chain, respectively. Experiments on 21,890 trajectories over the whole Year 2019 of 20 representatives selected from 1916 private car travelers in Shenzhen City, reveal the effectiveness of our model. …”
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Exploring the impact and mechanisms of behavioral activation on sleep disorders in colorectal cancer: a randomized controlled trial by Anlong Li, Runze Huang, Han Ge, Dajie Liu, Shaochun Liu, Yingxue Jia, Jiaying Chai, Xinyi Zheng, Lijun Liu, Chen Gan, Jian Xu, Ling Cheng, Mingjun Zhang, Huaidong Cheng

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A novel USP4 inhibitor that suppresses colorectal cancer stemness by promoting β-catenin and Twist1 degradation by Fengtian Li, Yi Zhou, Xinyue Lin, Yaxin Zhang, Qingyong Hu, Enen Zhao, Huali Li, Xingyan Pan, Feng Shu, Kun Zhang, Chengmei Huang, Na Tang, Wenting Liao

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