DAMPs prognostic signature predicts tumor immunotherapy, and identifies immunosuppressive mechanism of pannexin 1 channels in pancreatic ductal adenocarcinoma by Qianxue Wu, Qian Xiao, Qian Xiao, Xin Tang, Liuying Li, Daqiang Song, Yang Zhou, Benhua Li, Benhua Li, Guosheng Ren, Guosheng Ren, Fang Luo

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Short-Term Prediction of Electronic Transformer Error Based on Intelligent Algorithms by Yuanyu Ye, Aichao Yang, Yu Wu, Chen Hu, Min Li, Yan Li, Xiaosong Deng

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Wheelset-Bearing Fault Detection Using Adaptive Convolution Sparse Representation by Jianming Ding, Zhaoheng Zhang, Yanli Yin

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Inhibitory Effect of Flavonoid Extract of Lotus Leaf on Alcohol-Induced Gastric Injury by Antioxidant Capacity in Mice by Yi Chen, Qin Li, Zhiping Kuang, Xin Zhao, Ruokun Yi, Xiaowei He, Guangjing Feng

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Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles by Xi Tang, Jingke He, Qin Huang, Yi Chen, Ke Chen, Jing Liu, Yingyu Tian, Hui Wang

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Estimation of Hospital Potential Capacity and Basic Reproduction Number by Fei Wang, Linhua Wang, Peng Wang

“…In order to reflect the population covered by institutional medical services, the concept of hospital potential capacity is proposed and a formula for its estimation is developed based on a population dynamic model. Using the collected data on hospital outpatient and inpatient services and the demographical information on Chongqing as an example, the demand for medical resource allocation in Chongqing is dynamically estimated. …”
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15-Lipoxygenase-1 Is Involved in the Effects of Atorvastatin on Endothelial Dysfunction by Peng Zhang, Xin Xing, Chunxiao Hu, Hui Yu, Qian Dong, Guanglei Chang, Shu Qin, Jian Liu, Dongying Zhang

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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

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Two-Echelon Location-Routing Problem with Time Windows and Transportation Resource Sharing by Yong Wang, Yaoyao Sun, Xiangyang Guan, Yanyong Guo

“…The proposed optimization model and hybrid algorithm are tested by employing a real-world case of 2E-LRPTWTRS in Chongqing, China, and the optimization results verify the positive role of the developed model and algorithm in improving logistics efficiency, reducing operating cost, and saving transportation resources in the operations of two-echelon logistics networks.…”
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Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang, Hubin Yin, Tinghao Li, Junrui Chen, Weiyang He, Ke Ren, Bo Li, Xudong Liu

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Antimicrobial Resistance within Host: A Population Dynamics View by Chunji Huang, Aijun Fan

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The Optimal Dispatch of Traffic and Patrol Police Service Platforms by Ke Quan Zhao, Li Luo, Yuan Mei Xia

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AIEgen-self-assembled nanoparticles with anti-PD-L1 antibody functionalization realize enhanced synergistic photodynamic therapy and immunotherapy against malignant melanoma by Lu Li, Qing Xu, Xiuzhen Zhang, Yuan Jiang, La Zhang, Jiao Guo, Haichuan Liu, Bin Jiang, Shenglong Li, Qiling Peng, Ning Jiang, Jianwei Wang

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Innovative Method for Ship Navigation Safety Risk Response in Landslide-Induced Wave by Peiyin Yuan, Pingyi Wang, Yu Zhao

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A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation by Darong Huang, Zhenping Deng, Bo Mi

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An authentication and key agreement mechanism for OPC Unified Architecture in industrial Internet of Things by Min Wei, Shuaidong Zhang, Ping Wang, Keecheon Kim

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Vibration and Damping Analysis of a Multilayered Composite Plate with a Viscoelastic Midlayer by Haochuan Wan, Yinong Li, Ling Zheng

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Pixel-Level Recognition of Pavement Distresses Based on U-Net by Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang

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Trimetazidine: Activating AMPK Signal to Ameliorate Coronary Microcirculation Dysfunction after Myocardial Infarction by Xiaolong Qu, Pan Yang, Li Jiao, Yuehui Yin

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Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT by Liu W, Wang J, Lei Y, Liu P, Han Z, Wang S, Liu B

“…Wenjun Liu,1 Jin Wang,2 Yiting Lei,1 Peng Liu,3 Zhenghan Han,1 Shichu Wang,1 Bo Liu1 1Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People’s Republic of China; 2College of Medical Informatics, Chongqing Medical University, Chongqing, People’s Republic of China; 3Department of Orthopedics, Daping Hospital, Army Medical University, Chongqing, People’s Republic of ChinaCorrespondence: Bo Liu, Department of Orthopedics, First Affiliated Hospital, Chongqing Medical University, Chongqing, People’s Republic of China, Tel +8613996065698, Email boliu@hospital.cqmu.edu.cnBackground: Early differentiation between spinal tuberculosis (STB) and acute osteoporotic vertebral compression fracture (OVCF) is crucial for determining the appropriate clinical management and treatment pathway, thereby significantly impacting patient outcomes.Objective: To evaluate the efficacy of deep learning (DL) models using reconstructed sagittal CT images in the differentiation of early STB from acute OVCF, with the aim of enhancing diagnostic precision, reducing reliance on MRI and biopsies, and minimizing the risks of misdiagnosis.Methods: Data were collected from 373 patients, with 302 patients recruited from a university-affiliated hospital serving as the training and internal validation sets, and an additional 71 patients from another university-affiliated hospital serving as the external validation set. …”
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