Search Results - Shengwang An

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  1. 1

    A narrative review of interventions for post-stroke frailty: current advances and future directions by Xiaowen Fan, Yi Xia, Shengwang Xu, Shulei Jia

    Published 2025-07-01

    Frailty affects the health outcomes of stroke patients. Timely identification of the progression of frailty in stroke patients and intervention play a crucial role in prognosis. This article reviews domestic and international literature on frailty interventions for stroke patients, focusing on the d...

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  2. 2

    LitePipeNet: Research on a Lightweight and Efficient Segmentation Model for UAV Pipeline Inspection in Mining Areas by Huang Yong, Xiao Shengwang, Xia Xing, Huang Qiu

    Published 2025-01-01

    In response to the challenges of UAV-based pipeline inspection in mining areas—including difficulties in small object detection, limited adaptability to complex environments, and constraints on efficient edge deployment—this paper proposes LitePipeNet, a lightweight segmentatio...

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  3. 3

    Machine Learning-Enhanced 3D GIS Urban Noise Mapping with Multi-Modal Factors by Jianping Pan, Yuzhe He, Wei Ma, Shengwang An, Lu Li, Dan Huang, Dunxin Jia

    Published 2025-06-01

    Geographic Information System (GIS)-based noise management is crucial in urban environments as it provides precise spatial analysis, helping to identify noise hotspots and optimize noise control measures. By integrating noise propagation models with GIS technology, dynamic simulation and visualizati...

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  4. 4

    Residue 365 in Hemagglutinin–Neuraminidase Is a Key Thermostable Determinant of Genotype VI.2.1.1.2.2 Newcastle Disease Virus by Tao Di, Ran Zhao, Qiankai Shi, Fangfang Wang, Zongxi Han, Huixin Li, Yuhao Shao, Junfeng Sun, Shengwang Liu

    Published 2025-07-01

    Newcastle disease virus (NDV) genotype VI from pigeon origin is an important causative agent for serious disease in pigeons. Although the biological characteristics of genotype VI NDV have been extensively studied, the understanding of the thermostability of this genotype is still incomplete. In thi...

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  5. 5

    Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and laboratory pa... by Jing Zhang, Cheng Zhang, Xi Zhang, Wuchen Yang, Jingya Liu, Yang Gou, Xingqin Huang, Maoshan Chen, Dezhi Huang, Shengwang Wu, Shuiqing Liu, Xiangui Peng

    Published 2025-06-01

    Objective To develop and validate a prediction model of Philadelphia chromosome-positive acute lymphoblastic leukaemia (Ph+ALL).Design A single-centre retrospective study.Participants This study analysed 471 newly diagnosed patients with ALL at the Second Affiliated Hospital of Army Medical Universi...

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