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15. Attention Mechanism with Spatial-Temporal Joint Deep Learning Model for the Forecasting of Short-Term Passenger Flow Distribution at the Railway Station

Author

Dai, Zhicheng, Li, Dewei, and Feng, Shiqing

Subjects
Passenger rail services -- Analysis, High speed trains -- Analysis, Railroads -- Stations, Transportation industry
Abstract

Accurate understanding of passenger flow distribution is crucial for effective station crowd management. However, due to the complexity and randomness of passenger flow and the unclear spatial-temporal correlation between functional areas within the station, predicting the spatiotemporal distribution dynamics of inflow and future short-term distribution trends is challenging. Emerging deep learning models offer valuable insights for accurately predicting passenger flow distribution. Thus, we propose a deep learning architecture, named “ST-Bi-LSTM,” which combines a bidirectional long short-term memory network with a spatial-temporal attention mechanism. Initially, we outline the methodologies of Bi-LSTM, the DeepWalk-based spatial attention mechanism, and the temporal attention mechanism. The spatial attention mechanism is employed to extract station spatial network topology information and enhance the representation of passenger flow characteristics in highly correlated areas during the forecasting process. Simultaneously, the temporal attention Bi-LSTM is utilized for capturing temporal correlations. The architecture comprises four branches dedicated to station real-time video monitoring data, spatial network topology, function area attributes, and train timetables. Subsequently, leveraging in-station CCTV data, passenger travel behavior data, and train timetables, we apply the architecture to the Tianjin West High-Speed Railway Station. We conduct a comparative analysis of the prediction performance and time complexity of the proposed architecture against existing baseline models, demonstrating superior performance and robustness exhibited by the ST-Bi-LSTM model (achieving a reduction in RMSE of over 10%). This study facilitates the transition of station management from passive response to active prediction of station passenger flow dynamics., Author(s): Zhicheng Dai [1,2]; Dewei Li (corresponding author) [1,2]; Shiqing Feng [3] 1. Introduction With its attributes of speed, exceptional comfort, high safety standards, and environmental friendliness, global high-speed railway [...]

Published
2024
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32. Systematic analysis of co-expression network and gene expression profile of differentially expressed lncRNA-mRNA one week after spinal cord injury

Author

Kang, Yi, primary, Song, Yijie, additional, Shi, Zhongju, additional, Li, Qiang, additional, Lv, Yigang, additional, Hou, Mengfan, additional, Ding, Cui, additional, Xie, Jing, additional, Lou, Yongfu, additional, Zhang, Chi, additional, Jian, Huan, additional, Li, Xueying, additional, Zhou, Hengxing, additional, and Feng, Shiqing, additional

Published
2024
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33. Protocol for the Chinese Real-World Evidence for Acute Spinal Cord Injury (ChiRES) study: a prospective, observational, multicentre cohort study of acute spinal cord injury

Author

Yuan, Wenjian, primary, Sun, Jiuxiao, additional, Li, Qingyang, additional, Zheng, Ruiyuan, additional, Guan, Bin, additional, Chen, Zhuo, additional, Ding, Jiaming, additional, Sun, Qingyu, additional, Fu, Runhan, additional, Wang, Wei, additional, Fan, Yuxuan, additional, Kang, Yi, additional, Sun, Chao, additional, Li, Ang, additional, Wu, Dongjin, additional, Wang, Dachuan, additional, Qi, Lei, additional, Chen, Lingxiao, additional, Feng, Shiqing, additional, and Zhou, Hengxing, additional

Published
2024
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34. Application and development of 3D bioprinting in the field of spinal cord injury

Author

Wang Jianhao and Feng Shiqing

Subjects
spinal cord injury, 3d bioprinting, tissue engineering materials, stem cell transplantation, Medicine, Biotechnology, TP248.13-248.65
Abstract

Spinal cord injury is the highly fatal and disabling neurological condition that often results in irreversible loss of sensory, motor and autonomic function. The immediate and secondary responses at the injury time result in a local cascade response in the spinal cord that inhibits nerve regeneration and tissue repair. Current surgical and pharmacological treatments fail to achieve the desired effect, meanwhile 3D bioprinting-based transplantation strategies are emerging as promising candidates for translational therapies. Neural tissue engineering research focuses on balancing the inhibitory microenvironment and effectively bridging the biological scaffold and nerve cells to repair spinal cord tissue structure and nerve cell function. Additive manufacturing fix the relative positions of components by precisely printing cells to regulate the growth states and promote differentiation and print specific neurotrophic molecules in the reserved apertures to form specific functional neural networks that can help improve functional recovery after spinal cord injury, which has high promise for clinical applications.

Published
2022
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43. ROS-mediated lysosomal membrane permeabilization and autophagy inhibition regulate bleomycin-induced cellular senescence.

Author

Qi, Zhangyang, Yang, Weiqi, Xue, Baibing, Chen, Tingjun, Lu, Xianjie, Zhang, Rong, Li, Zhichao, Zhao, Xiaoqing, Zhang, Yang, Han, Fabin, Kong, Xiaohong, Liu, Ruikang, Yao, Xue, Jia, Rui, and Feng, Shiqing

Subjects
CELLULAR aging, FERRITIN, TRANSCRIPTION factors, AUTOPHAGY, RIBOSOMAL proteins, INTERLEUKIN receptors, GALACTOSIDASES, MEMBRANE proteins
Abstract

Bleomycin exhibits effective chemotherapeutic activity against multiple types of tumors, and also induces various side effects, such as pulmonary fibrosis and neuronal defects, which limit the clinical application of this drug. Macroautophagy/autophagy has been recently reported to be involved in the functions of bleomycin, and yet the mechanisms of their crosstalk remain insufficiently understood. Here, we demonstrated that reactive oxygen species (ROS) produced during bleomycin activation hampered autophagy flux by inducing lysosomal membrane permeabilization (LMP) and obstructing lysosomal degradation. Exhaustion of ROS with N-acetylcysteine relieved LMP and autophagy defects. Notably, we observed that LMP and autophagy blockage preceded the emergence of cellular senescence during bleomycin treatment. In addition, promoting or inhibiting autophagy-lysosome degradation alleviated or exacerbated the phenotypes of senescence, respectively. This suggests the alternation of autophagy activity is more a regulatory mechanism than a consequence of bleomycin-induced cellular senescence. Taken together, we reveal a specific role of bleomycin-induced ROS in mediating defects of autophagic degradation and further regulating cellular senescence in vitro and in vivo. Our findings, conversely, indicate the autophagy-lysosome degradation pathway as a target for modulating the functions of bleomycin. These provide a new perspective for optimizing bleomycin as a clinically applicable chemotherapeutics devoid of severe side-effects. Abbreviations: AT2 cells: type II alveolar epithelial cells; ATG7: autophagy related 7; bEnd.3: mouse brain microvascular endothelial cells; BNIP3L: BCL2/adenovirus E1B interacting protein 3-like; CCL2: C-C motif chemokine ligand 2; CDKN1A: cyclin dependent kinase inhibitor 1A; CDKN2A: cyclin dependent kinase inhibitor 2A; FTH1: ferritin heavy polypeptide 1; γ-H2AX: phosphorylated H2A.X variant histone; GAPDH: glyceraldehyde-3-phosphate dehydrogenase; HUVEC: human umbilical vein endothelial cells; HT22: hippocampal neuronal cell lines; Il: interleukin; LAMP: lysosomal-associated membrane protein; LMP: lysosome membrane permeabilization; MTORC1: mechanistic target of rapamycin kinase complex 1; NAC: N-acetylcysteine; NCOA4: nuclear receptor coactivator 4; PI3K: phosphoinositide 3-kinase; ROS: reactive oxygen species; RPS6KB/S6K: ribosomal protein S6 kinase; SA-GLB1/β-gal: senescence-associated galactosidase, beta 1; SAHF: senescence-associated heterochromatic foci; SASP: senescence-associated secretory phenotype; SEC62: SEC62 homolog, preprotein translocation; SEP: superecliptic pHluorin; SQSTM1/p62: sequestosome 1; TFEB: transcription factor EB [ABSTRACT FROM AUTHOR]

Published
2024
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