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Association between Low Ambient Temperature and the Severity of Acute Ischemic Stroke

Journal of Clinical and Nursing Research 2024年第5期8卷 83-94页

作者： Xinyi Huang liming shu Su Xiao Qiuhong Jiang Shiliang Yang Hualiang Liang Hua Hong Liang Luo Department of Critical Care Medicine The Seventh Affiliated Hospital of Sun Yat-sen UniversityShenzhen 518107GuangdongChina Department of Neurology The Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhou 510260GuangdongChina The Second Xiangya Hospital of Central South University Changsha 410011HunanChina Department of Neurology National Key Clinical Department and Key Discipline of NeurologyThe First Affiliated HospitalSun Yat-sen UniversityGuangzhou 510080GuangdongChina Department of General Practice Shenshan Central HospitalSun Yat-Sen Memorial HospitalSun Yat-Sen UniversityShanweiChina 516600GuangdongChina School of Public Health Sun Yat-sen UniversityGuangzhou 510080GuangdongChina

Objective:To explore the relationships among ambient temperature,ischemic stroke severity,and blood pressure.Methods:Meteorological data(2005–2015)were collected from the Guangzhou Meteorological Data Service.Ischemic stroke patients from the Department of Neurology of the First Affiliated Hospital,Sun Yat-sen University were retrospectively evaluated,each winter from 2005 to 2015.Patient demographics,baseline measurements,and National Institute of Health Stroke Scale(NIHSS)score were evaluated.Results:Three hundred sixty-two patients were included.The median latency from symptom onset to admission was 2 d(IQR:1–3 d).During recruitment,the highest and lowest temperatures were 39℃and 1.3℃,respectively.Hypertension was the most common comorbidity(75.1%).NIHSS scores at admission and discharge were higher in the cold-exposed group than in the controls regardless of the average temperature at admission.In addition,systolic and diastolic blood pressure values at admission were higher in the cold-exposed group than in the controls.When stratified by hypertensive status,the average and minimum temperatures at admission were negatively associated with systolic and diastolic blood pressure values in hypertensive patients.Reductions in the average and minimum temperatures at symptom onset were associated with more severe stroke.Conclusion:Ischemic stroke patients with symptom onset in winter had higher systolic blood pressure values and more serious neurologic deficits upon admission.

关键词： Low ambient temperature Stroke Blood pressure Severity

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Bone Milling:On Monitoring Cutting State and Force Using Sound Signals

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Chinese Journal of Mechanical Engineering 2022年第3期35卷 123-134页

作者： Zhenzhi Ying liming shu Naohiko Sugita Department of Mechanical Engineering School of EngineeringThe University of Tokyo7‑3‑1 HongoBunkyo‑kuTokyo 1138656Japan Research into Artifacts Center for Engineering School of EngineeringThe University of Tokyo7‑3‑1 HongoBunkyo‑kuTokyo 1138656Japan

Efficient monitoring of bone milling conditions in orthopedic and neurosurgical surgery can prevent tissue,bone,and tool damage,and reduce surgery time.Current researches are mainly focused on recognizing the cutting state using force signal.However,the force signal during the milling process is difficult and expensive to acquire.In this study,a neural network-based method is proposed to recognize the cutting state and force during the bone milling process using sound signals.Numerical modeling of the cutting force is performed to capture the relationship between the cutting force and the depth of cut in the bone milling process.The force model is used to calibrate the training data to improve the recognition accuracy.Wavelet package transform is used for signal processing to understand bone-cutting phenomena using sound signals.The proposed system succeeds to monitor the bone milling process to reduce the surgical risk.Experiments on standard bone specimens and vertebrae also indicate that the proposed approach has considerable potential for use in computer-assisted and robot-assisted bone-cutting systems used in various types of surgery.

关键词： Cutting state Force Milling Artificial neural network

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Experimental Investigation of Material Removal in Elliptical Vibration Cutting of Cortical Bone

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Chinese Journal of Mechanical Engineering 2023年第2期36卷 106-115页

作者： Wei Bai Yuhao Zhai Jiaqi Zhao Guangchao Han Linzheng Ye Xijing Zhu liming shu Dong Wang Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518000China Shenzhen Research Institute China University of GeosciencesShenzhen 518057China School of Mechanical Engineering North University of ChinaTaiyuan 030051China Department of Mechanical Engineering School of EngineeringThe University of TokyoTokyo 113‑8656Japan College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeter EX44QFUK

To benefit tissue removal and postoperative rehabilitation,increased efficiency and accuracy and reduced operating force are strongly required in the osteotomy.A novel elliptical vibration cutting(EVC)has been introduced for bone cutting compared with conventional cutting(CC)in this paper.With the assistance of high-speed microscope imaging and the dynamometer,the material removals of cortical bone and their cutting forces from two cutting regimes were recorded and analysed comprehensively,which clearly demonstrated the chip morphology improvement and the average cutting force reduction in the EVC process.It also revealed that the elliptical vibration of the cutting tool could promote fracture propagation along the shear direction.These new findings will be of important theoretical and practical values to apply the innovative EVC process to the surgical procedures of the osteotomy.

关键词： Elliptical vibration cutting Cortical bone Material removal Chip formation Chip morphology Fracture propagation Cutting force Osteotomy

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Systematic review of computational modelling for biomechanics analysis of total knee replacement

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Biosurface and Biotribology 2020年第1期6卷 3-11页

作者： liming shu Shihao Li Naohiko Sugita Department of Mechanical Engineering School of EngineeringThe University of Tokyo7-3-1 HongoBunkyo-kuTokyo 113-8656Japan

In vitro and in vivo testing can provide insight into knee joint mechanics and implant performance.However,these methods are costly and time-consuming,which always limits their widespread use during the design stage of the implant.This review presents a critical analysis of computational modelling(in-silicon)techniques including(i)development of a generic model of total knee replacement(TKR)and application of material properties,loading,and boundary conditions;(ii)design and execution of computational experiments;and(iii)practical applications and significant findings.The results show that the generic model and techniques provide significant insight into the general performance of TKR but have limited explicit validation.The introduction of design-of-experiments,probabilistic,and neural network methodologies in computational modelling has enabled simulation at the population level.Further advances in subjective modelling appear to be limited,mainly because of the lack of subjective materials and boundary conditions.Computational modelling will increasingly be used in the preclinical testing and design of TKR.This modelling should include subjective,multi-scale,and closely corroborated analyses to account for the variability of TKR.

关键词： knee testing insight

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Towards a shape-performance integrated digital twin for lumbar spine analysis[version 1;peer review:1 approved,1 not approved]

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Digital Twin 2021年第1期1卷 88-104页

作者： Xiwang He Yiming Qiu Xiaonan Lai Zhonghai Li liming shu Wei Sun Xueguan Song School of Mechanical Engineering Dalian University of TechnologyDalianLiaoning116024China Department of Orthopedics The First Affiliated Hospital of Dalian Medical UniversityDalianLiaoning116011China Department of Mechanical Engineering University of TokyoTokyo113-8654Japan

Background:With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space.In this work,a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement.Methods:A finite element model(FEM)of the lumbar spine was firstly developed using computed tomography(CT)and constrained by the body movement which was calculated by the inverse kinematics algorithm.The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time.Finally,a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement.Results:The evaluation results presented an agreement(R-squared>0.8)between the real-time prediction from digital twin and offline FEM prediction.Conclusions:This approach provides an effective method of real-time planning and warning in spine rehabilitation.

关键词： Shape-performance integrated digital twin Multiple models Dynamic data Artificial intelligence Lumbar spine

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珠海外伶仃岛海域海洋牧场选址探讨

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南方水产科学 2022年第5期18卷 18-29页

作者：谢笑艳陈丕茂佟飞袁华荣冯雪余景于杰舒黎明中国水产科学研究院南海水产研究所/农业农村部海洋牧场重点实验室/国家数字渔业(海洋牧场)创新分中心/中国水产科学研究院海洋牧场技术重点实验室/农业农村部南海渔业资源环境科学观测实验站/广东省海洋休闲渔业工程技术研究中心广东广州510300 上海海洋大学海洋科学学院上海201306

海洋牧场选址是海洋牧场建设前需首要考虑的重要环节,适宜的选址是确保海洋牧场建设成功的前提。文章从海岸线稳定性、海洋功能区划、海洋生态红线、养殖水域滩涂规划、海洋工程和设施等5个方面选取了34个指标作为海洋牧场适宜性评价的... 详细信息

海洋牧场选址是海洋牧场建设前需首要考虑的重要环节,适宜的选址是确保海洋牧场建设成功的前提。文章从海岸线稳定性、海洋功能区划、海洋生态红线、养殖水域滩涂规划、海洋工程和设施等5个方面选取了34个指标作为海洋牧场适宜性评价的因素,建立海洋牧场选址指标体系。在此基础上,根据珠海外伶仃岛海域实际情况,选取岛屿海岸线长度和面积变化强度、海洋功能区划、海洋生态红线、养殖水域滩涂规划、港口、锚地、通航密集区、海底管线等8个指标,采用地理信息系统空间分析方法,对珠海外伶仃岛海域海洋牧场选址进行适宜性评价。结果表明,研究区域内无最适宜和较适宜进行海洋牧场建设的区域,一般适宜和不适宜的区域所占面积分别为33.09和45.59 km2,其中适宜海洋牧场建设区域与珠海市目前已建人工鱼礁和规划海洋牧场区域范围相近。

关键词：地理信息海洋牧场选址外伶仃岛

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珠江口大型底栖动物群落结构特征及影响因素

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南方水产科学 2023年第5期19卷 39-47页

作者：孙叶刘永李纯厚吴鹏李亚芳舒黎明林琳肖雅元唐广隆浙江海洋大学水产学院浙江舟山316000 中国水产科学研究院南海水产研究所/农业农村部南海渔业资源开发利用重点实验室/广东珠江口生态系统野外科学观测研究站/广东省渔业生态环境重点实验室广东广州510300 西沙岛礁渔业生态系统海南省野外科学观测研究站/海南省深远海渔业资源高效利用与加工重点实验室/三亚热带水产研究院海南三亚572018

珠江口是广东最大的出海口,在中国河口生态系统中占据重要地位。为揭示珠江口大型底栖动物群落的季节性变化规律,分别于2019年冬季(12月)、2020年夏季(8月)、2021年春季(3月)和秋季(10月)对珠江口海域开展了4个航次的调查。运用多元统... 详细信息

珠江口是广东最大的出海口,在中国河口生态系统中占据重要地位。为揭示珠江口大型底栖动物群落的季节性变化规律,分别于2019年冬季(12月)、2020年夏季(8月)、2021年春季(3月)和秋季(10月)对珠江口海域开展了4个航次的调查。运用多元统计分析方法对采集的大型底栖动物的种类组成、生物量和多样性指数等进行了分析。结果显示:4次调查共发现大型底栖动物138种,以春季大型底栖动物种类数最高(45种),春季栖息密度最高(590个·m^(−2)),夏季最低。生物量则是冬季最高、秋季最低。光滑倍棘蛇尾(Amphiopholis laevis)为春、夏和秋季的共有优势种。单因素方差分析(One-way ANOVA)结果表明,Margalef丰富度指数(D)、Shannon指数(H')和Pielou均匀度指数(J')均在季节间变化显著(P<0.05)。Pearson相关性分析显示,大型底栖动物多样性与pH、悬浮物(Suspended solids,SS)和化学需氧量(Chemical oxygen demand,COD)等多种环境因子呈显著相关性。研究表明大型底栖动物的季节性变化是多种环境因子共同作用的结果,需进一步加强对该海域生物多样性的长期监测与保护。

关键词：大型底栖动物群落结构季节变化环境因子珠江口

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Chinese Society of Cardiology guidelines on the diagnosis and treatment of adult fulminant myocarditis

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Science China(Life Sciences) 2024年第5期67卷 913-939页

作者： Chinese Society of Cardiology,Chinese Medical Association,Writing Group Jiangang Jiang Hongyang shu Dao Wen Wang Rutai Hui Chenze Li Xiao Ran Hong Wang Jing Zhang Shaoping Nie Guanglin Cui Dingcheng Xiang Qun Shao Shengyong Xu Discussion experts:Ning Zhou Yuming Li Wei Gao Yuguo Chen Yuan Bian Guoping Wang liming Xia Yan Wang Chunxia Zhao Zhiren Zhang Yuhua Zhao Jianan Wang Shaoliang Chen Hong Jiang Jing Chen Xianjin Du Mao Chen Yinxian Sun Sheng Li Hu Ding Xueping Ma Hesong Zeng Li Lin Shenghua Zhou Likun Ma Ling Tao Juan Chen Yiwu Zhou Xiaomei Guo 不详 Tongji Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Fuwai Hospital National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China Zhongnan Hospital of Wuhan University Wuhan 430062China Fuwai Huazhong Cardiovascular Hospital Zhengzhou 450003China Beijing Anzhen Hospital Capital Medical UniversityBeijing 100029China Guangzhou General Hospital of Guangzhou Military Command Guangzhou 510010China Harbin Medical University Cancer Hospital Harbin 150081China Union Hospital Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100730China Taida Hospital Tianjin 300457China Peking University Third Hospital Beijing 100191China Qilu Hospital of Shandong University Jinan 250012China Kanghua Hospital DongguanGuangzhou 523080China Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou 310003China Nanjing First Hospital Nanjing Medical UniversityNanjing 210006China Renmin Hospital of Wuhan University Wuhan 430060Wuhan West China Hospital Sichuan UniversityChengdu 610044China First Hospital of China Medical University Shenyang 110002China General Hospital of Ningxia Medical University Yinchuan 750003China The Second Xiangya Hospital Central South UniversityChangsha 410012China The First Affiliated Hospital of USTC University of Science and Technology of ChinaHefei 230002China The First Affiliated Hospital of Air Force Medical University Xi’an 710032China Central Hospital of Wuhan City Wuhan 430014China Tongji Medical College Huazhong University of Science and TechnologyWuhan 430030China

Fulminant myocarditis is an acute diffuse inflammatory disease of myocardium.It is characterized by acute onset,rapid progress and high risk of death.Its pathogenesis involves excessive immune activation of the innate immune system and formation of inflammatory storm.According to China’s practical experience,the adoption of the“life support-based comprehensive treatment regimen”(with mechanical circulation support and immunomodulation therapy as the core)can significantly improve the survival rate and long-term prognosis.Special emphasis is placed on very early identification,very early diagnosis,very early prediction and very early treatment.

关键词： fulminant myocarditis guidelines life support-based comprehensive treatment regimen diagnosis treatment cytokine storm overactivation of immunity

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基于迁移学习和通道注意力的遥感图像场景分类

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光电子．激光 2024年第7期35卷 716-722页

作者：舒薪行温显斌袁立明徐海霞史芙蓉天津理工大学计算机科学与工程学院天津300384 计算机视觉与系统教育部重点实验室天津300384 中国民航科学技术研究院研发中心北京100028

针对遥感图像场景分类任务中训练样本数量少及遥感图像背景复杂等问题,本文将迁移学习和通道注意力引入到卷积神经网络(convolutional neural network,CNN)中,提出基于迁移学习和通道注意力的遥感图像场景分类方法。该方法首先选用经过I... 详细信息

针对遥感图像场景分类任务中训练样本数量少及遥感图像背景复杂等问题,本文将迁移学习和通道注意力引入到卷积神经网络(convolutional neural network,CNN)中,提出基于迁移学习和通道注意力的遥感图像场景分类方法。该方法首先选用经过ImageNet自然数据集预训练的两个CNN作为主干,同时引入通道注意力机制,自适应地增强主要特征,抑制次要特征;然后融合这两个网络提取的特征进行分类;最后采用微调迁移学习的方式实现目标域上的学习与分类。提出的方法在几个经典的公共数据集上进行了评估,实验结果证明了本文提出的方法在遥感图像场景分类中达到与其他先进方法相当的性能。

关键词：遥感图像场景分类卷积神经网络(CNN) 迁移学习通道注意力

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基于BP神经网络的火电厂水质调节自适应控制的仿真研究

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计算机与应用化学 2008年第10期25卷 1220-1224页

作者：曹顺安黄艳舒礼明武汉大学动力与机械学院湖北武汉430072 陕西国华锦界能源有限责任公司陕西榆林719316 中电国际黄冈大别山发电有限责任公司湖北麻城438300

针对火电厂锅炉水质调节过程的大时滞时变特性,常规控制算法控制效果不好的问题,本文提出了基于BP神经网络的Smith-PID鲁棒自适应控制算法,利用BP神经网络的任意非线性表达能力和很强的自学习能力,在线自学习整定PID参数,被控对象不需... 详细信息

针对火电厂锅炉水质调节过程的大时滞时变特性,常规控制算法控制效果不好的问题,本文提出了基于BP神经网络的Smith-PID鲁棒自适应控制算法,利用BP神经网络的任意非线性表达能力和很强的自学习能力,在线自学习整定PID参数,被控对象不需要精确辩识,控制器参数跟踪被控对象自适应调整,克服了常规PID算法不适用于大时滞过程控制和常规Smith预估补偿控制对模型不确定性敏感的缺陷。MATLAB仿真表明,本文控制算法的静态特性、动态品质良好,鲁棒性强。

关键词：锅炉水质调节 BP神经网络 Smith—PID控制器自适应控制

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