The Application of Reinforcement Learning in Traffic Flow Prediction: Advantages, Problems, and Prospects by Li Minghui, Zhou Decheng, Zhang Shiqi

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CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay by Mi Tian, Xiaotao Sheng

“…The proposed approaches are illustrated using CPT data at a clay site in Shanghai, China. It is shown that Bayesian approaches provide a rational tool for proper determination of random field model for probabilistic characterization of undrained shear strength with consideration of transformation uncertainty.…”
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A study on coupling and coordination of grain production and agricultural ecological protection in the Yangtze river economic belt by Xuanzhu Meng, Linqi Liu, Yingying Cai, Xinyue Wang

“…In terms of regions, Guizhou has the highest comprehensive level of grain production, and Anhui has the lowest; the region with the highest comprehensive level of agricultural ecological protection is Chongqing, and the lowest is Jiangxi; only Anhui and Hubei have entered high coordination stage, and only Shanghai, Zhejiang, Chongqing, and Yunnan belong to the type of synchronous development. …”
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Experimental Research on the Impact of Interface Temperature on the Adhesion Properties of Clay under the Condition of Different Contacting Time by Tao Qiu, Yonggang Zhang

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Experimental Study on the Feasibility of Using Water Glass and Aluminum Sulfate to Treat Complications in High Liquid Limit Soil Subgrade by Wen-hui Zhang, Hua-wen Zheng, Jia-wei Qi, Bao-tian Wang

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Managing Recurrent Congestion of Subway Network in Peak Hours with Station Inflow Control by Qingru Zou, Xiangming Yao, Peng Zhao, Fei Dou, Taoyuan Yang

“…Station inflow control (SIC) is an important and effective method for reducing recurrent congestion during peak hours in the Beijing, Shanghai, and Guangzhou subway systems. This work proposes a practical and efficient method for establishing a static SIC scheme in normal weekdays for large-scale subway networks. …”
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Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows by Jiadong Wang, Zhenzhou Yuan, Yonghao Yin

“…Finally, we apply the proposed model to Shanghai Metro to access the effectiveness of our approaches in comparison with the current bridging strategy. …”
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Revolutionizing agricultural stock volatility forecasting: a comparative study of machine learning and HAR-RV models by Houjian Li, Xinya Huang, Fangyuan Luo, Deheng Zhou, Andi Cao, Lili Guo

“…This study investigates the realized volatility of the Shanghai Agricultural Stock Index (March 2017–May 2021), focusing on predictive accuracy. …”
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Fatigue Life Analysis of Remanufactured Radial Rolling Bearing with the Replaced Loading Zone by L. Chen, D. T. Bu, Z. B. Feng, H. B. Liu

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Sustaining the Fabric of Time: Urban Heritage, Time Rupture, and Sustainable Development by Kaixuan Wang, Kalliopi Fouseki

“…., the disruption of historical continuity caused by rapid urbanization, and its implications for urban heritage preservation, using Dongjiadu in Shanghai as a case study. Time rupture highlights the disconnection between modern development and cultural heritage, often diluting local identity and a sense of place. …”
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Durability Studies on the Recycled Aggregate Concrete in China over the Past Decade: A Review by Zhiming Ma, Qin Tang, Dingyi Yang, Guangzhong Ba

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Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach by Yan Wan, Jibiao Zhou, Wenqiang He, Changxi Ma

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Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction by Harya Widiputra, Adele Mailangkay, Elliana Gautama

“…The effectiveness of the evolved ensemble model during the COVID-19 pandemic was tested using regular stock market indices from four Asian stock markets: Shanghai, Japan, Singapore, and Indonesia. In contrast to CNN and LSTM, the experimental results show that multivariate CNN-LSTM has the highest statistical accuracy and reliability (smallest RMSE value). …”
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Characteristics of Wind Load on Spatial Structures with Typical Shapes due to Aerodynamic Geometrical Parameters and Terrain Type by Yi Zhou, Yuanqi Li, Yingying Zhang, Akihito Yoshida

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Female Directors and Carbon Information Disclosure: Evidence from China by Ren He, Mingdian Zhou, Jing Liu, Qing Yang

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Combination of Oxalobacter Formigenes and Veillonella Parvula in Gastrointestinal Microbiota Related to Bile-Acid Metabolism as a Biomarker for Hypertensive Nephropathy by Xin Li, Li Wang, Shaojun Ma, Shaohui Lin, Chunyan Wang, Haiya Wang

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Unleashing the green potential: exploring the dynamic influence of the urban digital economy on carbon emissions by Xin Sun, Xueyu Rui, Zhikun Cui, Farhad Taghizadeh-Hesary, Xin Zhao

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A Coupling Vibration Test Bench and the Simulation Research of a Maglev Vehicle by Weihua Ma, Rongrong Song, Junqi Xu, Yu Zang, Shihui Luo

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A Convex Approach for Trajectory Optimization of Super-Synchronous-Transfer-Orbit Large Launch Systems with Time-Position Constraints by Yuan Li, Ruisheng Sun, Wei Chen, Nan Yang

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Provincial Climate Action Index and Its Use for Assessing Dual Carbon Policy of 31 Provinces in China by Jing Xu, Fengqiao Mei, Chuntian Lu, Bin Zhang, Min Wang

“…We calculate the index scores of 31 Chinese provinces and identify 3 clusters: leaders, followers, and laggards in dual carbon policy, demonstrating both differences and similarities in provincial‐level actions to achieve climate goals. Provinces such as Shanghai, Beijing, and Anhui are pioneering, nearly half of provinces including Shandong and Shanxi, exhibit medium commitments to the goals, while 10 underperforming provinces such as Qinghai and Xizang lag behind.…”
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