A Feasibility Study for Microwave Breast Cancer Detection Using Contrast-Agent-Loaded Bacterial Microbots by Yifan Chen, Panagiotis Kosmas, Sylvain Martel

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Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

“…A case study is conducted based on a real world bidirectional metro line in Shenzhen, China, using the time-dependent passenger demand extracted from smart card data. …”
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Adoption of digital transformation from a firm’s creation to decline: the role of China’s mass entrepreneur and innovation campaign by Umer Sahil Maqsood, Qian Li, R. M. Ammar Zahid

“…Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020. The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages; however, DT adoption in the maturity stage is uncertain. …”
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Therapeutic Study of Thermosensitive Hydrogel Loaded with Super-Activated Platelet Lysate Combined with Core Decompression Technology for the Treatment of Femoral Head Necrosis by Zhipeng Huang, Zhe Zhao, Jun Lang, Wantao Wang, Yinsheng Fu, Wenbo Wang

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Housing Vacancy Rate in Major Cities in China: Perspectives from Nighttime Light Data by Zhiru Tan, Donglan Wei, Zixu Yin

“…The results revealed that (1) the lowest (15%) and highest (24.3%) HVRs occur in Shenzhen and Nanning, respectively. (2) The urban HVR correlates positively with the three production structures (0.3143) but is significantly negatively correlated with population (0.3841), GDP (0.6139), and urban average housing prices (0.5083). (3) The first-tier, new first-tier, and second-tier cities showed the lowest (16.9%), relatively concentrated (20.5%), and highest (21.3%) average vacancy rates, respectively. (4) The vacancy rate is relatively low in the eastern coastal areas, whereas high in the northeast and western inland areas. …”
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Exploring the Impact of eHMI Display Location and Vehicle Type on Pedestrian Perceptions: A VR User Study by Nianzhao Zheng, Jialong Li, Yan Zhang, Kenji Tei

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Multi-objective Optimization of Combined Gray-green Infrastructure Rainwater System for Yuhuazhai Depot of Xi’an Metro by LYU Jiajie

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Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

“…In this paper, the Standard & Poor’s 500 Composite Stock Price (S&P 500) index, the Dow Jones industrial average (DJIA) index, the Shanghai Stock Exchange Composite (SSEC) index, and the Shenzhen Securities Component Index (SZI) were used to demonstrate the validity of our proposed FM-Elman model in time-series prediction. …”
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Trajectory Tracking Control for WMRs with the Time-Varying Longitudinal Slippage Based on a New Adaptive SMC Method by Zhi Li, Bo You, Liang Ding, Haibo Gao, Fengxiang Huang

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Phase stabilization of cesium lead iodide perovskites for use in efficient optoelectronic devices by Handong Jin, Yu-Jia Zeng, Julian A. Steele, Maarten B. J. Roeffaers, Johan Hofkens, Elke Debroye

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Nonlinear Seepage Model of Gas Transport in Multiscale Shale Gas Reservoirs and Productivity Analysis of Fractured Well by Ting Huang, Xiao Guo, Kun Wang

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Digital technology innovation, supply chain resilience and enterprise performance-The case of listed automotive parts manufacturing companies. by Xiangbing Chen, Chen Sun, Fang Wang

“…This paper uses Stata 18 to empirically analyze the panel data of 130 A-share auto parts listed companies in Shanghai and Shenzhen from 2010 to 2022. The digital technology innovation indicator is divided into three levels: substantial digital technology innovation (SDTI), non-substantial digital technology innovation (NDTI), overall digital technology innovation (ODTI). …”
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Structural basis for tRNA mimicry by mascRNA and menRNA by Yuanlin He, Jie Deng, Xiaowei Lin, Zhizhong Lu, Liangliang Wang, Liang Xu, Yin Zhang, Jia Wang, Lin Huang

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Integrating online training and knowledge sharing among teachers through a cloud-based video platform by Jun Peng, Yi Dai, Yue Li

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Experimental study on the effect of the riveting process on the bending resistance of beams composed of galvanized Q235 steel by Xue Jingya, Wu Qing, Chen Xiaomiao, Ma Shiliang, Wang Yunqing, Mo Jianbing, Yang Jianming

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Mesoscale Modelling of Bond Behavior at FRP-Concrete under Mode II Loading: Effect of Rayleigh Damping by Feng-chen An, Qiong-guan Xiao, Shuai Li, Hong-jun Li

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A Clinical Retrospective Study of Recurrent Painful Ophthalmoplegic Neuropathy in Adults by Cheng Li, Xinyi Huang, Xiao Tan, Yannan Fang, Jianhua Yan

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Research on Dynamic Monitoring and Early Warning of the High-Rise Building Machine during the Climbing Stage by Xi Pan, Zibo Zuo, Longlong Zhang, Tingsheng Zhao

“…The method was successfully applied to a 356-m tall high-rise project, the Shenzhen Xinghe Yabao Building. Results demonstrate that the proposed method can monitor and control the safety state of the HBM climbing process more accurately than current methods in real time. …”
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SNCA: Semi-Supervised Node Classification for Evolving Large Attributed Graphs by Faima Abbasi, Muhammad Muzammal, Qiang Qu, Farhan Riaz, Jawad Ashraf

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Assessment and Risk Identification of Water Resources Carrying Capacity in the Pearl River Basin by ZHOU Xuexin, LUO Hao

“…:Taking the Pearl River Basin as the research object,this paper builds an evaluation index system for water resources carrying capacity with 13 indexes selected from four aspects of water resources,society,economy,and the ecological environment by using the data in the water resources bulletin and statistical yearbook of the year 2018.The technique for order of preference by similarity to ideal solution (TOPSIS) model integrated with combined weighting is used to evaluate and analyze the water resources carrying capacity of 46 cities in the basin.The hot spot analysis method is employed to identify the high-risk areas of water resources carrying capacity there.The results show that the overall water resources carrying index of the basin is 0.504,and the water resources carrying capacity is at Level 2,reflecting the moderate overall water resources carrying status of the basin.There are significant differences in water resources carrying capacity among different regions in the basin.On the whole,the middle-upper reaches of the basin have better carrying capacity than the upper and middle-lower reaches.The Pearl River Delta region is facing great water resources carrying capacity pressure.The distribution of water resources carrying capacity is highly concentrated in the basin.The risk of water resources carrying capacity is not significant in most regions of the basin.Five cities,including Shenzhen,Dongguan,Guangzhou,Foshan,and Zhongshan,are in the hot spot range (99% confidence level).They are high-risk areas of water resources carrying capacity,all concentrated in the Pearl River Delta region.…”
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