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Pathological progression of osteoarthritis:a perspective on subchondral bone

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Frontiers of Medicine 2024年第2期18卷 237-257页

作者： Xuefei li Wenhua Chen Dan liu Pinghua Chen Shiyun Wang Fangfang li Qian Chen Shunyi Lv fangyu li Chen Chen Suxia Guo Weina Yuan Pan li Zhijun Hu Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Shanghai200032China Research and Development Center of Chinese Medicine Resources and Biotechnology Shanghai University of Traditional Chinese MedicineShanghai201203China

Osteoarthritis(OA)is a degenerative bone disease associated with *** rising global aging population has led to a surge in OA cases,thereby imposing a significant socioeconomic *** have been keenly investigating the mechanisms underlying *** studies have suggested that the disease starts with synovial inflammation and hyperplasia,advancing toward cartilage ***,subchondral-bone collapse,sclerosis,and osteophyte formation *** progression is deemed as“top to bottom.”However,recent research is challenging this perspective by indicating that initial changes occur in subchondral bone,precipitating cartilage *** this review,we elucidate the epidemiology of OA and present an in-depth overview of the subchondral bone’s physiological state,functions,and the varied pathological shifts during OA *** also introduce the role of multifunctional signal pathways(including osteoprotegerin(OPG)/receptor activator of nuclear factor-kappa B ligand(RANKL)/receptor activator of nuclear factor-kappa B(RANK),and chemokine(CXC motif)ligand 12(CXCL12)/CXC motif chemokine receptor 4(CXCR4))in the pathology of subchondral bone and their role in the“bottom-up”progression of *** vivid pattern maps and clinical images,this review highlights the crucial role of subchondral bone in driving OA progression,illuminating its interplay with the condition.

关键词： osteoarthritis subchondral bone OPG/RANKL/RANK CXCL12/CXCR4

Empowering Industrial Cybersecurity: Dynamic Temporal Graph Evolution with GNN Edge Updates

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Empowering Industrial Cybersecurity: Dynamic Temporal Graph ...

A Prospective Cohort Study of Antimony Exposure and Cognitive Impairment in Older Adults—China,2017–2021

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作者： Junnuo lin fangyu li Di Wang Honggui Han Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing Artificial Intelligence Institute Beijing University of Technology Beijing University of Technology Department of Industrial Engineering and Management Shanghai Jiao Tong University

Industrial cybersecurity focuses on safeguarding industrial infrastructure and manufacturing processes from cyber attacks and vulnerabilities. However, traditional data-driven cybersecurity approaches struggle with the high-dimensional data generated by industrial systems. To capture the relationship within high-dimensional data and enhance the capabilities of detecting cyber attacks in industrial systems, we propose a temporal edge-updating graph modeling(TEUG) method. First, we develop a dynamic multi-layer dilation convolution method to extract the spatio-temporal correspondence of high-dimensional data by adjusting the convolutional dilation rate. Second, we design an edge-updating graph neural network based on a graph attention network, where the dynamic inter-node relationships are updated based on the importance of the local temporal feature. In addition, we validated the efficiency of TEUG by testing publicly available industrial process datasets. Compared with common deep learning-based techniques, TEUG improves the attack detection performances in terms of precision, recall, and F1 scores, using high-dimensional data.

关键词： industrial cybersecurity high-dimensional modeling dilated convolutions graph neural network

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China CDC weekly 2024年第23期6卷 537-541,I0001-I0007页

作者： Yidan Qiu Saisai Ji Chen Chen Jinhui Zhou Jun Wang Bing Wu Yuan Wei fangyu li Xulin Zheng Lanjing Xu Zheng Zhang Feng Zhao Guangdi Chen John SJi Yuebin Lyu Shilu Tong Xiaoming Shi Department of Big Data in Health Science School of Public HealthZhejiang UniversityHangzhou CityZhejiang ProvinceChina China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijingChina Center for Global Health School of Public HealthNanjing Medical UniversityNanjing CityJiangsu ProvinceChina Department of Epidemiology and Biostatistics School of Public HealthJilin UniversityChangchun CityJilin ProvinceChina School of Public Health China Medical UniversityShenyang CityLiaoning ProvinceChina Institute of Environmental Health School of Public Healthand Bioelectromagnetics LaboratorySchool of MedicineZhejiang UniversityHangzhou CityZhejiang ProvinceChina Environmental Research Center Duke Kunshan UniversityKunshan CityJiangsu ProvinceChina Nicholas School of the Environment Duke UniversityDurhamNCUSA School of Public Health Institute of Environment and Population HealthAnhui Medical UniversityHefei CityAnhui ProvinceChina School of Public Health and Social Work Queensland University of TechnologyBrisbaneAustralia

What is already known about this topic?Antimony(Sb)has been identified as a new neurotoxicant that impacts neurological functions in animal ***,its effects on the human population remain *** is added by this report?The study reveals that there is an association between exposure to Sb and a higher incidence of cognitive impairment in older *** dose-response curve demonstrates that the risk of cognitive impairment consistently increased with higher levels of Sb exposure without a discernible *** are the implications for public health practice?Reducing exposure to Sb may have a beneficial effect in delaying or preventing the onset of cognitive *** intervention has the potential to significantly decrease the disease burden associated with cognitive impairment,ultimately contributing to social development.

关键词： Antimony development. exposure

Association of Thallium Exposure with Decreased Renal Function among Chinese Adults—China,2017-2018

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China CDC weekly 2024年第34期6卷 867-871,I0007-I0010页

作者： Zheng Zhang Miao Zhang Yingli Qu Feng Zhao Saisai Ji Zheng li Bing Wu Chunxian Lyu Haocan Song Qi Sun Yawei li Xu Zhang Xulin Zheng Yidan Qiu Zihan Lu Hui Fu Lanjing Xu Wenli Zhang Yufei Luo fangyu li Jiayi Cai Yuanduo Zhu Ying Zhu Zhaojin Cao Yuebin Lyu Xiaoming Shi China CDC Key Laboratory of Environment and Population Health National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijingChina Center for Global Health School of Public HealthNanjing Medical UniversityNanjing CityJiangsu ProvinceChina Department of Big Data in Health Science School of Public HealthZhejiang UniversityHangzhou CityZhejiang ProvinceChina Department of Occupational Health and Environment Health School of Public HealthAnhui Medical UniversityHefei CityAnhui ProvinceChina School of Public Health China Medical UniversityShenyang CityLiaoning ProvinceChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID) National Institute of Environmental HealthChinese Center for Disease Control and PreventionBeijingChina

Summary What is already known about this topic?Thallium(Tl)is significantly more toxic than heavy metals such as lead,cadmium,and ***,previous studies examining the relationship between Tl exposure and the risk of chr... 详细信息

关键词： Renal kidney mercury

动态环境下基于深度学习的视觉SLAM研究综述

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半导体光电 2024年第1期45卷 1-10页

作者：罗元沈吉祥李方宇重庆邮电大学光电工程学院重庆400065

目前的同时定位与地图构建(Simultaneous Localization and Mapping,SLAM)研究大多是基于静态场景的假设,而实际生活中动态物体是不可避免的。在视觉SLAM系统中加入深度学习,可以协同剔除场景中的动态物体,有效提升视觉SLAM在动态环境... 详细信息

目前的同时定位与地图构建(Simultaneous Localization and Mapping,SLAM)研究大多是基于静态场景的假设,而实际生活中动态物体是不可避免的。在视觉SLAM系统中加入深度学习,可以协同剔除场景中的动态物体,有效提升视觉SLAM在动态环境下的鲁棒性。文章首先介绍了动态环境下基于深度学习的视觉SLAM分类,然后详细介绍了基于目标检测、基于语义分割和基于实例分割的视觉SLAM,并对它们进行了分析比较。最后,结合近年来视觉SLAM的发展趋势,通过对动态环境下基于深度学习的视觉SLAM存在的主要问题进行分析,总结了未来可能的发展方向。

关键词：视觉同时定位与地图构建深度学习动态环境语义信息

基于多分支特征融合的车载激光雷达3D目标检测算法

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实验技术与管理 2024年第1期41卷 37-43页

作者：金伟正孙原李方玉武汉大学电子信息学院湖北武汉430072

该文基于多分支特征融合的3D目标检测算法将无序的点云划分为规则的体素,利用体素特征编码模块和卷积神经网络学习体素特征,再将稀疏的3D数据压缩为稠密的二维鸟瞰图,最后通过2D骨干网络的粗糙分支和精细分支对多尺度鸟瞰图特征进行深... 详细信息

该文基于多分支特征融合的3D目标检测算法将无序的点云划分为规则的体素,利用体素特征编码模块和卷积神经网络学习体素特征,再将稀疏的3D数据压缩为稠密的二维鸟瞰图,最后通过2D骨干网络的粗糙分支和精细分支对多尺度鸟瞰图特征进行深度融合。该文实现了对多尺度特征的语义信息、纹理信息和上下文信息的聚合,得到了更加精确的原始空间位置信息、物体分类、位置回归和朝向预测,在KITTI数据集上取得优异的平均精度,并在保持一定帧率的同时具有较强的稳健性。

关键词：激光雷达点云 3D目标检测感受域特征融合

Perturbed Effect of the Gravitational Wave Produced by Microwave Electromagnetic Cavity on Detecting Electromagnetic Field

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Chinese Physics Letters 1994年第6期11卷 321-324页

作者： li fangyu LUO Jun TANG Mengxi Department of Physics Chongqing UniversityChongqing 6300442 Centre for Gravitational Experiment Huazhong University of Science and TechnologyWuhan 430074 Department of Physics Zhongshan UniversityGuangzhou 510275

Perturbed effect of high-frequency gravitational radiation produced by microwave electromagnetic(EM)cavity on static detecting EM field is investigated,and corresponding perturbation solutions have been *** is found that the gravitational wave(GW)beam propagating along symmetric axis of the cavity is purely+type polarized in transverse traceless coordinate system,and it can make the static EM field generate a cumulative perturbed effect which is proportional to the *** the gravitational radiation wave beams propagating along other directions,they are usually mixed radiation of+and x type *** factor of the cavity plays a key role in interaction strength of the GW with the detecting EM field.

关键词： field propagating purely

Double-cycle weighted imputation method for wastewater treatment process data with multiple missing patterns

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Science China(Technological Sciences) 2022年第12期65卷 2967-2978页

作者： HAN HongGui SUN MeiTing WU XiaoLong li fangyu Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Digital Community Ministry of EducationBeijing 100124China

Due to sensor malfunctions and communication faults,multiple missing patterns frequently happen in wastewater treatment process(WWTP).Nevertheless,the existing missing data imputation works cannot stand multiple missing patterns because they have not sufficiently utilized of data *** this article,a double-cycle weighted imputation(DCWI)method is proposed to deal with multiple missing patterns by maximizing the utilization of the available information in variables and *** proposed DCWI is comprised of two components:a double-cycle-based imputation sorting and a weighted K nearest neighbor-based imputation ***,the double-cycle mechanism,associated with missing variable sorting and missing instance sorting,is applied to direct the missing values ***,the weighted K nearest neighbor-based imputation estimator is used to acquire the global similar instances and capture the volatility in the local *** estimator preserves the original data characteristics as much as possible and enhances the imputation ***,experimental results on simulated and real WWTP datasets with non-stationarity and nonlinearity demonstrate that the proposed DCWI produces more accurate imputation results than comparison methods under different missing patterns and missing ratios.

关键词： wastewater treatment process multiple missing patterns data information imputation sorting imputation estimator

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一体化预制泵站的强度分析

机电设备 2024年第4期41卷 10-14页

作者：杨雷李方玉赵江上海市质量监督检验技术研究院上海200072

基于有限元分析(FEA)方法研究一体化预制泵站的强度问题,通过对不同荷载情况下的应力和变形进行分析,得出了泵站的最大应力和变形值,并对不同工况下泵站的应力分布和变形情况进行了分析以及泵站强度进行了评估。研究结果表明,一体化预... 详细信息

基于有限元分析(FEA)方法研究一体化预制泵站的强度问题,通过对不同荷载情况下的应力和变形进行分析,得出了泵站的最大应力和变形值,并对不同工况下泵站的应力分布和变形情况进行了分析以及泵站强度进行了评估。研究结果表明,一体化预制泵站在正常使用情况下具有足够的强度和稳定性,同时为一体化泵站的设计和使用提供了重要依据,也为后续预制泵站筒体标准制定提供了参考。

关键词：一体化预制泵站有限元分析强度分析