Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China by Yongqi Deng, Jiaorong Wu, Chengcheng Yu, Jihao Deng, Meiting Tu, Yuqin Wang

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Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study by Titus Mutunga, Sinan Sinanovic, Funmilayo B. Offiong, Colin Harrison

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Research on Construction of Suzhou’s Historical Architectural Heritage Corridors and Cultural Relics-Themed Trails Based on Current Effective Conductance (CEC) Model by Yao Wu, Yonglan Wu, Mingrui Miao, Muxian Wang, Xiaobin Li, Antonio Candeias

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Hypereosinophilic syndrome with elevated IgG4 and T-cell clonality: A report of two cases by Huang Meichun, Wang Limin, Li Xiuxiu, Lu Ying

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Trip mode inference from mobile phone signaling data using Logarithm Gaussian Mixture Model by Xiaoxu Chen, Chao Yang, Xiangdong Xu

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Toxic effects of subchronic T-2 toxin exposure on systemic immune deficiency in developing juvenile rats by Fanshuang Meng, Junfeng Zhou, Hongyu Wang, Qingwen Li, Ning Zou

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Long-term disease-free survival of a patient diagnosed with peri-ampullary carcinoma treated with adjunct Ayurvedic treatment – A case report by Sadanand Sardeshmukh, Vineeta Deshmukh, Swapna Kulkarni, Vasanti Godse, Vinita Awalkanthe, Shreenivas Datar, Shweta Gujar, Sandeep Chavan

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CircPRMT5, a Potential Salivary Biomarker, Facilitates the Progression of Head and Neck Squamous Cell Carcinoma via the IGF2BP3-SERPINE1 Pathway by Jiang S, Ou L, Wang Y, Su K, Chen Z, He L, Xu X, Cheng B, Xia J, Fan Z

“…Finally, salivary exosomes were isolated, and the expression levels of circPRMT5 were assessed using qRT-PCR.Results: The upregulation of circPRMT5 in HNSCC tissues was identified to be correlated with cervical lymph node metastasis and advanced clinical T stage. Both in vitro and in vivo experiments manifested that circPRMT5 promoted the proliferation and metastasis of HNSCC. …”
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AIPI: Network Status Identification on Multi-Protocol Wireless Sensor Networks by Peng Jiang, Xinglin Feng, Renhai Feng, Junpeng Cui

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Fuzzy-Logic Based Model for VANET Performance Metrics Analysis by Shahnila Badar Baloch, Muhammad Tayyab Yaqoob, Asif Gulraiz, Rabbia Muhammad Qasmi

“… Vehicular Ad-hoc Networks (VANETs) allows a spontaneous communication between vehicle to vehicles and road-side units(RSU) using wireless interfaces and road-side infrastructure to form Intelligent Transportation System (ITS). …”
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Emerging Human Fascioliasis in India: Review of Case Reports, Climate Change Impact, and Geo-Historical Correlation Defining Areas and Seasons of High Infection Risk by Santiago Mas-Coma, Pablo F. Cuervo, Purna Bahadur Chetri, Timir Tripathi, Albis Francesco Gabrielli, M. Dolores Bargues

“…Geographical zones of high human infection risk defined by archeological–historical analyses concern: (i) the Indo-Gangetic Plains and corridors used by the old Grand Trunk Road and Daksinapatha Road, (ii) northern mountainous areas by connections with the Silk Road and Tea-Horse Road, and (iii) the hinterlands of western and eastern seaport cities involved in the past Maritime Silk Road. …”
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A study on the dynamic optimization strategy of energy routers in zero-carbon ports based on digital twin technology by Shun Li, Xingda Fan, Zhaoyu Qi

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A Comprehensive Analysis of Urban Flooding Under Different Rainfall Patterns: A Full-Process Perspective in Haining, China by Yuzhou Zhang, Luoyang Wang, Qing Zhang, Yao Li, Pin Wang, Tangao Hu

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Performance Evaluation of Magnetic Wireless Sensor Networks Algorithm for Traffic Flow Monitoring in Chaotic Cities by Haji Said Fimbombaya, Nerey H. Mvungi, Ndyetabura Y. Hamisi, Hashimu U. Iddi

“…The algorithm extracts traffic flow information from resulting magnetic field distortions sensed by magnetic wireless sensor nodes located on the sides of the road. The model magnetic wireless sensor networks algorithm for local Earth’s magnetic field performance was evaluated through simulation using Dar es Salaam City traffic flow conditions. …”
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A Dynamic Spatio-Temporal Deep Learning Model for Lane-Level Traffic Prediction by Bao Li, Quan Yang, Jianjiang Chen, Dongjin Yu, Dongjing Wang, Feng Wan

“…Specifically, we take advantage of the graph convolutional network (GCN) with a data-driven adjacent matrix for spatial feature modeling and treat different lanes of the same road segment as different nodes. The data-driven adjacent matrix consists of the fundamental distance-based adjacent matrix and the dynamic lane correlation matrix. …”
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Integrating source-sink coordination and pod-setting optimization: A field study on plant density effects for soybean productivity enhancement in the Huang-Huai-Hai Plain by Lei Yang, Xiaofei Chen, Wenjun Jin, Jie Zhou, Yi Xu, Ruixian Liu, Wenwen Song, Lingcong Kong, Zhiping Huang, Xiangbei Du

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Pericarpium Trichosanthis Injection Protects Isoproterenol-Induced Acute Myocardial Ischemia via Suppressing Inflammatory Damage and Apoptosis Pathways by Zizheng Wu, Xing Chen, Jiahao Ye, Xiaoyi Wang, Zhixi Hu

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Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data by Cong Ding, Jun Bi, Dongfan Xie, Xiaomei Zhao, Yi Liu

“…This paper presents a graph-based method to mine the travel time between nodes in the airport ferry network. Firstly, combined with map and trajectory information, the method takes the terminal boarding gates, parking lots, and remote stands as road network nodes to build a complete airport ferry road network. …”
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LineMVGNN: Anti-Money Laundering with Line-Graph-Assisted Multi-View Graph Neural Networks by Chung-Hoo Poon, James Kwok, Calvin Chow, Jang-Hyeon Choi

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A Survey of Abnormal Traffic Information Detection and Transmission Mechanisms in VSNs by Lingjuan Zhang, Deyun Gao, Chuan Heng Foh, Dong Yang, Shuai Gao

“…With the continuously increasing number of vehicles, particularly in cities, there are more and more abnormal traffic events occurring on road, which easily cause road congestion. In vehicular sensor networks (VSNs), with the intervehicle cooperative communication, vehicle nodes can detect the abnormal traffic events and disseminate the related information to the interesting vehicles or persons. …”
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