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Electrical, mechanical and damage self-sensing properties of basalt fiber reinforced polymer composites modified by electrophoretic deposition

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Progress in Natural Science:Materials International 2023年第5期33卷 593-600页

作者： Haoming Sun Dong Xiang Jie Zhang Wei Tan Eileen Harkin-Jones Junjie Wang Menghan Wang Bin Wang chunxia zhao Hui Li Zhenyu Li Yuntao Li Yuanpeng Wu School of New Energy and Materials Southwest Petroleum University The Center of Functional Materials for Working Fluids of Oil and Gas Field Sichuan Engineering Technology Research Center of Basalt Fiber Composites Development and Application Southwest Petroleum University Collaborative Scientific Innovation Platform of Universities in Sichuan for Basalt Fiber Southwest Petroleum University School of Mechanical Engineering Southwest Petroleum University School of Engineering and Materials Science Queen Mary University of London School of Engineering Ulster University Department of Civil Engineering Tsinghua University College of Materials Science and Engineering Chongqing University

In this work, basalt fiber reinforced polymer(BFRP) with enhanced electrical, mechanical properties and in-situ damage self-sensing capability was prepared using carboxylic carbon nanotubes(COOH-CNTs) modified BF fabrics via electrophoretic deposition(EPD) at different voltages. The BFRP with BF fabrics modified at a deposition voltage of 20 V(EPD20-BFRP) showed the lowest electrical resistivity. Compared with unmodified BFRP, the tensile and flexual moduli of EPD20-BFRP increased by 37.5 % and 14.9 %, respectively. Single-layer EPD20-BFRP exhibited a high gauge factor(GF) of 44.3 during tensile damage self-sensing. The acoustic emission(AE) signals during tensile and flexual damage process agreed well with the relative resistance changes(RRC),which confirmed different damage stages within loading process, such as elastic deformation, damage evolution,crack coalescence, and complete fracture. In addition, the multi-layer BFRP containing a single-layer EPD20-BFRP on the upper or lower surface of laminate exhibited distinct electrical signal responses subjected to the flexural loading.

关键词： Carbon nanotubes and nanofibers Natural fibers Polymer-matrix composites (PMCs) Non-destructive testing

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Gelation behavior of Antheraea pernyi silk fibroin

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Science China Chemistry 2010年第3期53卷 535-541页

作者： YAN ShuQin,zhao chunxia,WU XiuFang,ZHANG Qiang & LI MingZhong National Engineering Laboratory for Modern Silk College of Textile and Clothing Engineering,Soochow University,Suzhou 215123,China National Engineering Laboratory for Modern Silk College of Textile and Clothing Engineering Soochow University Suzhou China

The sol-gel transition behavior of Antherae pernyi silk fibroin(Ap-SF) has not been systematically *** this work,the influence of environmental temperature,pH,the concentration of Ap-SF,K+ and Ca2+ on the gelation time,and the structural changes of Ap-SF in sol-gel transformation were *** results indicated that the gelation time of the Ap-SF aqueous solution decreased with the increase of the Ap-SF concentration and environmental *** sol-gel transformation of Ap-SF was much more rapid than that of Bombyx mori silk fibroin under the same *** Ap-SF was sensitive to changes in the concentration of Ca2+ and K+.Upon gelation,the random coil structure of the Ap-SF was significantly transformed into the β-sheet structure.

关键词： Antheraea pernyi silk fibroin gelation sol-gel transition

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一种应用于机器人导航的激光点云聚类算法

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机器人 2011年第1期33卷 90-96页

作者：袁夏赵春霞南京理工大学计算机科学与技术学院江苏南京210094

提出一种适用于机器人导航和环境理解的聚类算法,该算法用来处理各向异性分布的点云数据.算法的基本思想是基于点云的密度分布变化和空间位置分布的不同进行聚类,将信息聚类思想融入传统的DBSCAN算法,既保留了DBSCAN算法抗噪声能力强的... 详细信息

提出一种适用于机器人导航和环境理解的聚类算法,该算法用来处理各向异性分布的点云数据.算法的基本思想是基于点云的密度分布变化和空间位置分布的不同进行聚类,将信息聚类思想融入传统的DBSCAN算法,既保留了DBSCAN算法抗噪声能力强的优点,又结合点云的空间概率分布改善了聚类结果.算法采用自适应的实时参数估计方法克服全局参数的缺点.在真实环境数据集上的实验证明,所提出的算法可以将点云密度相似但是空间分布不同且互相连接的对象分割开,能处理高噪声点云数据.

关键词：激光点云聚类地面机器人导航概率密度分布

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一种基于点—面匹配的3D-SLAM方法

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机器人 2011年第2期33卷 215-221页

作者：袁夏赵春霞南京理工大学计算机科学与技术学院江苏南京210094

提出一种基于点一面匹配的3维空间同步定位与3维地图创建(3D-SLAM)方法以解决3D-SLAM中的点云匹配问题.首先将3维空间中的6自由度(6DOF)匹配问题合理地简化成5DOF匹配问题,然后算法在激光雷达获取的每行数据中提取平面拐点,再通过区域... 详细信息

提出一种基于点一面匹配的3维空间同步定位与3维地图创建(3D-SLAM)方法以解决3D-SLAM中的点云匹配问题.首先将3维空间中的6自由度(6DOF)匹配问题合理地简化成5DOF匹配问题,然后算法在激光雷达获取的每行数据中提取平面拐点,再通过区域生长的方式找到点云中的平面区域.通过计算平面的法向量,并比较两帧数据之间关联平面的法向量方向估计出旋转参数,然后算法利用一种改进的层次投影方法计算平多参数.在含有较高噪声的真实数据集上的实验证明该算法是有效的.

关键词：机器人 3维空间同步定位与地图创建激光点云平面提取层次投影

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Gene expression and transcriptomic profiles of invasive behavior in extra-mammary Paget’s disease

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Chinese Medical Journal 2022年第21期135卷 2620-2622页

作者： Yurong Li Guohong Zhang chunxia zhao Chong Zhang Hang Li Department of Dermatology Peking University First HospitalBeijing 100034China National Clinical Research Center for Skin and Immune Diseases Beijing 100034China Beijing Key Laboratory of Molecular Diagnosis on Dermatoses Beijing 100034China NMPA Key Laboratory for Quality Control and Evaluation of Cosmetic Beijing 100034China

To the Editor:Extra-mammary Paget’s disease(EMPD)is a rare cutaneous intra-epidermal adenocarcinoma with a controversial origin,and frequently occurs in the penoscrotal region in *** EMPD,which originates within the epidermis or apocrine glands,is usually an in situ disease confined to the epidermis with a good prognosis,while secondary EMPD is considered to be associated with underlying internal *** in situ has the potential to become invasive EMPD which has a higher metastasis rate and worse prognosis.[1]Thus,it is important to identify transcriptomic profiles related to the biological behavior of invasion to improve the treatment of invasive EMPD in the future.

关键词： Paget invasive invasion

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基于马尔可夫随机场和多核学习的图像分类

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华中科技大学学报（自然科学版） 2014年第10期42卷 42-46页

作者：杨赛赵春霞南京理工大学计算机科学与工程学院江苏南京210094

针对词袋模型中的聚集算法对编码矢量之间空间关系信息或者概率分布信息单独建立数学模型,将马尔可夫随机场模型中的拟合参数矢量集合视为编码矢量的聚集矢量集合,计算每个聚集矢量对应的两两图像之间的核矩阵,然后使用基于支持向量机... 详细信息

针对词袋模型中的聚集算法对编码矢量之间空间关系信息或者概率分布信息单独建立数学模型,将马尔可夫随机场模型中的拟合参数矢量集合视为编码矢量的聚集矢量集合,计算每个聚集矢量对应的两两图像之间的核矩阵,然后使用基于支持向量机的多核学习方法求解核矩阵的最优线性组合系数以及支持向量系数,最后使用所得训练模型对测试图像进行分类.对于15类场景数据集和Caltech 101数据集,本文算法的分类正确率达到82.67%和62.94%,与其他算法相比具有更高的平均分类正确率.

关键词：词袋模型聚集算法马尔可夫随机场多核学习图像分类

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核稀疏概念编码算法及在图像表示中的应用

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系统工程理论与实践 2016年第5期36卷 1331-1339页

作者：舒振球赵春霞江苏理工学院计算机工程学院常州213001 南京理工大学计算机科学与工程学院南京210094

稀疏编码算法是一种常用的图像数据表示方法.为了处理高度非线性分布的数据,文中提出了一种核稀疏概念编码算法,并应用于图像表示.该算法首先对邻域图进行谱分析,提取数据的几何流形结构信息;然后将原始特征空间数据映射到高维特征空间... 详细信息

稀疏编码算法是一种常用的图像数据表示方法.为了处理高度非线性分布的数据,文中提出了一种核稀疏概念编码算法,并应用于图像表示.该算法首先对邻域图进行谱分析,提取数据的几何流形结构信息;然后将原始特征空间数据映射到高维特征空间中,利用谱回归在高维特征空间中来计算基向量;最后在高维特征空间中对每个样本逐个进行表示.文中算法不仅能有效地处理非线性结构数据,而且只需求解一个稀疏特征值问题和两个回归问题,计算简单有效.在Yale、ORL和PIE图像库的聚类实验表明,文中算法的准确率和归一化互信息均优于其它几种对比算法.

关键词：基向量数据表示核非线性稀疏编码谱回归

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Human detection using HOG-HSC feature and PLS

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Computer Aided Drafting,Design and Manufacturing 2012年第3期22卷 61-64页

作者： HU Bin zhao chunxia YUAN Xia SUN Ling School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China China North Optical-Electrical Technology Co. Ltd Beijing 100176 China

By combining histogram of oriented gradient and histograms of shearlet coefficients, which analyzes images at multiple scales and orientations based on shearlet transforms, as the feature set, we proposed a novel haman detection feature. We employ partial least squares analysis, an efficient dimensionality reduction technique, to project the feature onto a much lower dimensional subspace. We test it in INRIA person dataset by using a linear SVM, and it yields an error rate of 1.38% with a false negatives （FN） rate of 0.40% and a false positive （FP） rate of 0.98%, while the error rate of HOG is 7.11%, with a FN rate of 4.09% and a FP rate of 3.02%.

关键词： human detection HOG HSC SVM

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A life support-based comprehensive treatment regimen dramatically lowers the in-hospital mortality of patients with fulminant myocarditis: a multiple center study

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Science China(Life Sciences) 2019年第3期62卷 369-380页

作者： Sheng Li Shengyong Xu Chenze Li Xiao Ran Guanglin Cui Mengying He Kun Miao chunxia zhao Jiangtao Yan Rutai Hui Ning Zhou Yan Wang Jiangang Jiang Jing Zhang Daowen Wang Division of Cardiology Department of Internal Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Hubei Key Laboratory of Genetics and Molecular Mechanisms of Cardiological Disorders Emergency Department of Union Hospital Peking Union Medical College Chinese Academy of Medical Sciences Fuwai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences Peking Union Medical College Fuwai Huazhong Cardiovascular Hospital

Fulminant myocarditis(FM) has unacceptable high mortality. This study aimed to evaluate the therapeutic efficacy of a life support-based comprehensive treatment regimen(LSBCTR), a completely novel treatment regimen, for FM. A total of 169 FM patients recruited from January 2008 to December 2018 were divided into two groups: patients receiving LSBCTR(81 cases),which includes(i) mechanical life support(positive pressure respiration, intra-aortic balloon pump with or without extracorporeal membrane oxygenation),(ii) immunomodulation therapy using sufficient doses of glucocorticoids and immunoglobulins, and(iii) application of neuraminidase inhibitors, and those receiving conventional treatment(88 cases). The endpoints were in-hospital death and heart-transplantation. Of all the population, 44 patients(26.0%) died in hospitals. Inhospital mortality was 3.7%(3/81) for LSBCTR group and 46.6%(41/88) for traditional treatment(P<0.001). Early application of LSBCTR, mechanical life support, neuraminidase inhibitors, and immunomodulation therapy significantly contributed to reduction in in-hospital mortality. This study describes a novel treatment regimen for FM patients that dramatically reduces inhospital mortality. Its generalization and clinical application will efficiently save lives although further optimization is *** study offers an insight that virus infection induced inflammatory waterfall results in cardiac injury and cardiogenic shock and is the therapeutic target.

关键词： fulminant myocarditis in-hospital mortality life support-based comprehensive treatment regimen

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Highly stretchable, sensitive and wide linear responsive fabric-based strain sensors with a self-segregated carbon nanotube(CNT)/Polydimethylsiloxane(PDMS) coating

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Progress in Natural Science:Materials International 2022年第1期32卷 34-42页

作者： Libing Liu Xuezhong Zhang Dong Xiang Yuanpeng Wu Dan Sun Jiabin Shen Menghan Wang chunxia zhao Hui Li Zhenyu Li Ping Wang Yuntao Li School of New Energy and Materials Southwest Petroleum University The Center of Functional Materials for Working Fluids of Oil and Gas Field Southwest Petroleum University School of Mechanical and Aerospace Engineering Queen's University Belfast State Key Laboratory of Polymer Materials Engineering Polymer Research Institute of Sichuan University College of Materials Science and Engineering Chongqing University

Flexible strain sensors have received increasing attention with the development of wearable electronic ***, integrating wide strain detection range, high sensitivity while maintaining relatively wide linear response range for such sensor system still remain a challenge. A fabric based flexible sensor（S-CNT/PDMS-F） was designed and fabricated, and the sensor can simultaneously achieve high sensitivity, wide linear response and strain detection range by combining self-segregated carbon nanotube（CNT）/polydimethylsiloxane（PDMS）composites and elastic medical bandage. It has been observed that this new sensor system can achieve a high sensitivity with a gauge factor of 615, a large linear responsive range of 0–100% strain（R;= 0.993） and a wide strain detection range of ～ 200%, which is superior to almost all the reported CNT/PDMS flexible strain *** to the similar fabric based strain sensor system deploying non self-segregated structure（C-CNT/PDMSF）, our S-CNT/PDMS-F demonstrates higher electrical conductivity and lower electrical percolation threshold and response time of 55 ms, as well as more stable and repeatable performance under cyclic loading conditions. The capability of the sensors in monitoring physiological activities and weight distribution has also been demonstrated.

关键词： Strain sensor Self-segregated structure Carbon nanotubes Polydimethylsiloxane Nanocomposites

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