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1. Lipid management in ischaemic stroke or transient ischaemic attack in China: result from China National Stroke Registry III

Author

Xu Zhang, Yongjun Wang, Kangning Chen, Lianbo Gao, Ye Tian, Xu Chen, Yi Guo, Benyan Luo, Yan Wang, Jian Wu, Xiaohong Li, Yong-Jun Wang, Qiang Dong, Huisheng Chen, Wei Wang, Zhengqi Lu, Lijie Ren, Runqing Wang, Juan Feng, Zhangyong Xia, Hao Li, Lihua Wang, Qingwei Zhao, Hong Wang, Ting Wang, Jin Zhou, Xia Meng, Jun Wu, Qing Li, Shizheng Wu, Ping Zhang, Li-Ping Liu, Yue-song Pan, Yi-long Wang, Ming Yu, Guohua Chen, Zhimin Wang, Jianhua Li, Yi Wang, Yi Yang, Xinsheng Han, Songdi Wu, Yongming Chen, Liang Zhao, Qiang Ma, Xiaoying Zhang, Mei Zhang, Limin Wang, Hui Liang, Liping Wang, Jun Zhou, Jie Lin, Yu Geng, Ning Wang, Yun Xu, Jinsheng Zeng, Huijuan Wang, Xueli Cai, Jia Yin, Jun Xu, Feng Qiu, Jun Zhao, Baojun Wang, Hainan Zhang, Zi-Xiao Li, Xing-Quan Zhao, Mingzhi Zhao, Yingchun Wu, Junling Zhang, Xuerong Qiu, Zhongping An, Wenjun Xue, Lili Zhao, Hongyan Li, Junfeng Shi, Tao Gong, Qi Fang, Liyan Liu, Jianfeng Wang, Guang Huang, Chun Wang, Yuwu Zhao, Lei Sheng, Lei Xia, Yan Fang, Xiaoxiang Peng, Yanling Wang, Yangmei Chen, Deqin Geng, Jinfeng Liu, Weirong Li, Yuqing Wei, Yu-Yuan Xu, Jilai Li, Maolin He, Quping Ouyang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yaoyu Yu, Meiyun Zhang, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Ruifang Liu, Fengli Zhao, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Haisong Du, Cunrui Wang, Xiaofei Chen, Fengyun Hu, Fanping He, Xingchen Wang, Hongjin Li, Mingzong Yan, Guiru Zhang, Yunlin Liu, Yuhui Han, Xianghong Meng, Hongtian Zhang, Congmin Ma, Gexia Liu, Wenxu Zheng, Haitao Chi, Hongbo Xiao, Lijun Xiao, Guozhong Li, Yulan Zhu, Yindong Yang, Xuhai Gong, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Zhengxie Dong, Guiyun Cui, Liangqun Rong, Yi Wu, Weiguo Tang, Yanjiang Wang, Wenguang Bu, Xiaohua Cheng, Jifu Cai, Lvli Li, Jianping Niu, Liping Zhan, Runxiu Zhu, Yanhui Du, Yongxia Wen, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qingke Bai, Chaoming He, Weiwen Qiu, Shufang Yao, Xuwen Sun, Ligong Gao, Xianglin Chen, Qiuyan Shi, Zhaochen Li, Tianbao Chen, SuYun Yang, Yazhou Han, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Linying Gui, Aisheng Wu, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, Ping Lou, Wei-Qi Chen, Meng-Xing Wang, Yu’an Zou, An’ding Xu, Yinzhou Wang Li Pan, Li’e Wu, Yanru Zhao Li Liu, and Xiaoqian Shen

Subjects
Medicine
Abstract

Objectives The aims of the study were to assess the management of low-density lipoprotein cholesterol (LDL-C) and the goal achievement, as well as to investigate the association between baseline LDL-C level, lipid-lowering treatment (LLT), and stroke recurrence in patients with ischaemic stroke or transient ischaemic attack (TIA).Design Our study was a post hoc analysis of the Third China National Stroke Registry (CNSR-III).Setting We derived data from the CNSR-III - a nationwide clinical registry of ischaemic stroke and TIA based on 201 participating hospitals in mainland China.Participants 15,166 patients were included in this study with demographic characteristics, etiology, imaging, and biological markers from August 2015 to March 2018.Primary and secondary outcome measures The primary outcome was a new stroke, LDL-C goal (LDL-C

Published
2023
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2. Prognosis and antiplatelet therapy of small single subcortical infarcts in penetrating artery territory: a post hoc analysis of the Third China National Stroke Registry

Author

Xu Zhang, Yongjun Wang, Kangning Chen, Lianbo Gao, Ye Tian, Xu Chen, Yi Guo, Benyan Luo, Yan Wang, Jian Wu, Xiaohong Li, An-Xin Wang, Yong-Jun Wang, Qiang Dong, Huisheng Chen, Wei Wang, Zhengqi Lu, Jing Jing, Lijie Ren, Runqing Wang, Juan Feng, Zhangyong Xia, Hao Li, Lihua Wang, Qingwei Zhao, Hong Wang, Ting Wang, Jin Zhou, Xia Meng, Jun Wu, Qing Li, Shizheng Wu, Ping Zhang, Li-Ping Liu, Yi-long Wang, Ming Yu, Guohua Chen, Zhimin Wang, Jianhua Li, Yi Wang, Yi Yang, Xinsheng Han, Songdi Wu, Yongming Chen, Liang Zhao, Qiang Ma, Xiaoying Zhang, Mei Zhang, Limin Wang, Hui Liang, Liping Wang, Jun Zhou, Jie Lin, Yu Geng, Ning Wang, Yun Xu, Jinsheng Zeng, Huijuan Wang, Xueli Cai, Jia Yin, Jun Xu, Feng Qiu, Jun Zhao, Baojun Wang, Hainan Zhang, Zi-Xiao Li, Xing-Quan Zhao, Mingzhi Zhao, Yingchun Wu, Junling Zhang, Xuerong Qiu, Zhongping An, Wenjun Xue, Lili Zhao, Hongyan Li, Junfeng Shi, Mingzhen Li, Tao Gong, Qi Fang, Liyan Liu, Jianfeng Wang, Guang Huang, Chun Wang, Yuwu Zhao, Lei Sheng, Lei Xia, Yan Fang, Xiaoxiang Peng, Yanling Wang, Yangmei Chen, Deqin Geng, Jinfeng Liu, Weirong Li, Yuqing Wei, Yu-Yuan Xu, Yi-Jun Zhang, Jilai Li, Maolin He, Quping Ouyang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yaoyu Yu, Meiyun Zhang, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Ruifang Liu, Fengli Zhao, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Haisong Du, Cunrui Wang, Yu'an Zou, Xiaofei Chen, Fengyun Hu, Fanping He, Xingchen Wang, Hongjin Li, Mingzong Yan, Guiru Zhang, Yunlin Liu, Yuhui Han, Xianghong Meng, Hongtian Zhang, Congmin Ma, Gexia Liu, Wenxu Zheng, Haitao Chi, Hongbo Xiao, Lijun Xiao, Guozhong Li, Yulan Zhu, Yindong Yang, Xuhai Gong, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Zhengxie Dong, Guiyun Cui, Liangqun Rong, Yi Wu, Weiguo Tang, Yanjiang Wang, Wenguang Bu, Xiaohua Cheng, An'ding Xu, Jifu Cai, Lvli Li, Li Pan; Yinzhou Wang, Jianping Niu, Liping Zhan, Li'e Wu, Li Liu; Yanru Zhao, Runxiu Zhu, Yanhui Du, Yongxia Wen, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qingke Bai, Chaoming He, Weiwen Qiu, Shufang Yao, Xuwen Sun, Ligong Gao, Xianglin Chen, Qiuyan Shi, Zhaochen Li, Tianbao Chen, SuYun Yang, Yazhou Han, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Linying Gui, Aisheng Wu, Jianling Zhang, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, and Ping Lou

Subjects
Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Background Small single subcortical infarction (SSSI) may be classified as parent artery disease-related or only branch involved according to the stenosis of parent artery. The study aimed to evaluate short-term and long-term prognoses and the effectiveness of antiplatelet therapy in SSSI.Methods We prospectively enrolled 2890 patients with SSSI from the Third China National Stroke Registry (CNSR-III) database from August 2015 to March 2018. We assessed clinical outcomes and antiplatelet treatment effects in patients with SSSI with and without parent artery stenosis (PAS) identified by magnetic resonance angiography.Results Among 2890 patients with SSSI in the perforator territory of the middle cerebral artery and the basilar artery, there were 680 (23.53%) patients with PAS and 2210 (76.47%) patients without PAS, respectively. After adjusting for potential confounders, the PAS group had a greater initial stroke severity (OR 1.262, 95% CI 1.058 to 1.505; p=0.0097) and a higher risk of ischaemic stroke recurrence at 3 months (OR 2.266, 95% CI 1.631 to 3.149; p

Published
2022
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5. Imaging Parameters Predict Recurrence After Transient Ischemic Attack or Minor Stroke Stratified by ABCD 2 Score

Author

Jing Jing, Yue Suo, Anxin Wang, Yingting Zuo, Yong Jiang, Liping Liu, Xingquan Zhao, Yilong Wang, Zixiao Li, Hao Li, Xia Meng, Yongjun Wang, Jilai Li, Jian Wu, Mei Zhang, Maolin He, Tao Gong, Quping Ouyang, Guang Huang, Fengchun Yu, Chenlong Wang, Jinli Zhang, Wenqing Wu, Yi Wang, Yaoyu Yu, Meiyun Zhang, Zhongping An, Junyan Liu, Wanying Shi, Baoquan Lu, Lijun Geng, Shujuan Wang, Xu Zhang, Ruifang Liu, Fengli Zhao, Jie Lin, Xinping Liu, Xuebing Sun, Tianyuan Li, Youming Wang, Xinxia He, Weiqiang Yuan, Ronghua Dou, Lihai Liu, Yanling Wang, Junling Zhang, Haisong Du, Yuqing Wei, Cunrui Wang, Limin Wang, Yu’an Zou, Xiaofei Chen, Fengyun Hu, Jinfeng Liu, Lili Zhao, Fanping He, Xingchen Wang, Qingwei Zhao, Xiaohong Li, Jun Zhao, Zhangyong Xia, Hongjin Li, Mingzong Yan, Guiru Zhang, Hui Liang, Yunlin Liu, Jun Xu, Runqing Wang, Yuhui Han, Xianghong Meng, Mingzhen Li, Ting Wang, Xinsheng Han, Hongtian Zhang, Congmin Ma, Wenjun Xue, Chun Wang, Yan Fang, Gexia Liu, Jianfeng Wang, Qiang Ma, Wenxu Zheng, Haitao Chi, Lianbo Gao, Jin Zhou, Huisheng Chen, Juan Feng, Hongbo Xiao, Lijun Xiao, Yi Yang, Guozhong Li, Yulan Zhu, Lihua Wang, Yindong Yang, Xuerong Qiu, Xuhai Gong, Guohua Chen, Xiaoxiang Peng, Qunhui Liu, Shiping Gong, Hongbin Zhou, Haipeng Li, Yong You, Jinsheng Lin, Yun Xu, Lei Sheng, Heqing Zhao, Aixia Zhuang, Kaifu Ke, Qi Fang, Zhengxie Dong, Guiyun Cui, Deqin Geng, Liangqun Rong, Junfeng Shi, Ming Yu, Yu Geng, Benyan Luo, Xueli Cai, Jun Zhou, Yi Wu, Weiguo Tang, Zhimin Wang, Yangmei Chen, Yanjiang Wang, Kangning Chen, Shizheng Wu, Wenguang Bu, Xiaohua Cheng, Zhengqi Lu, An’ding Xu, Jia Yin, Jifu Cai, Yi Guo, Jun Wu, Lvli Li, Li Pan, Yinzhou Wang, Ning Wang, Jianping Niu, Qing Li, Hong Wang, Hongyan Li, Xiaoying Zhang, Liping Zhan, Yongming Chen, Baojun Wang, Li’e Wu, Li Liu, Yanru Zhao, Yingchun Wu, Runxiu Zhu, Yanhui Du, Yongxia Wen, Ye Tian, Songdi Wu, Yongcai Qu, Yuncheng Wu, Jianren Liu, Qiang Dong, Qingke Bai, Yuwu Zhao, Xu Chen, Chaoming He, Lijie Ren, Weiwen Qiu, Shufang Yao, Xuwen Sun, Hainan Zhang, Weirong Li, Ligong Gao, Xianglin Chen, Jianhua Li, Qiuyan Shi, Yan Wang, Mingzhi Zhao, Jinsheng Zeng, Liping Wang, Wei Wang, Feng Qiu, Zhaochen Li, Liang Zhao, Tianbao Chen, Lei Xia, SuYun Yang, Yazhou Han, Liyan Liu, Xinxiao Wu, Beihai Jiang, Lizhong Li, Weidong Lou, Xiaoqian Shen, Ping Zhang, Weiming Lan, Aihu Zheng, Qifu Bai, Lifang Luan, Lin Chen, Liqing Yan, Yanxia Wang, Xuerong Huang, Xiangting Chai, Yanshu Liu, Liangjun You, Hongqin Yang, Dongfang Li, Huijuan Wang, Linying Gui, Aisheng Wu, Jianling Zhang, Dengling Wang, Qinghua Zhang, Yunhong He, Ruiyou Guo, Jijun Teng, and Ping Lou

Subjects
Advanced and Specialized Nursing, medicine.medical_specialty, business.industry, Stroke recurrence, Infarction, Minor stroke, medicine.disease, Neuroimaging, Internal medicine, Ischemic stroke, Cardiology, Medicine, Transient (computer programming), cardiovascular diseases, Neurology (clinical), Cardiology and Cardiovascular Medicine, business
Abstract

Background and Purpose: Whether imaging parameters would independently predict stroke recurrence in low-risk minor ischemic stroke (MIS) or transient ischemic attack (TIA) according to traditional score system (such as ABCD 2 score, which was termed on the basis of the initials of the five factors: age, blood pressure, clinical features, duration, diabetes) remains unclear. We sought to evaluate the association between imaging parameters and 1-year stroke recurrence in patients with TIA or MIS in different risk stratum stratified by ABCD 2 score. Methods: We included patients with TIA and MIS (National Institutes of Health Stroke Scale score ≤3) with complete baseline vessel and brain imaging data from the Third China National Stroke Registry III. Patients were categorized into different risk groups based on ABCD 2 score (low risk, 0–3; moderate risk, 4–5; and high risk, 6–7). The primary outcome was stroke recurrence within 1 year. Multivariable Cox proportional-hazards regression models were used to assess whether imaging parameters (large artery stenosis, infarction number) were independently associated with stroke recurrence. Results: Of the 7140 patients included, 584 patients experienced stroke recurrence within 1 year. According to the ABCD 2 score, large artery stenosis was associated with higher stroke recurrence in both low-risk (adjusted hazard ratio, 1.746 [95% CI, 1.200–2.540]) and moderate-risk group (adjusted hazard ratio, 1.326 [95% CI, 1.042–1.687]) but not in the high-risk group ( P >0.05). Patients with multiple acute infarctions or single acute infarction had a higher risk of recurrent stroke than those with no infarction in both low- and moderate-risk groups, but not in the high-risk group. Conclusions: Large artery stenosis and infarction number were independent predictors of 1-year stroke recurrence in low-moderate risk but not in high-risk patients with TIA or MIS stratified by ABCD 2 score. This finding emphasizes the importance of early brain and vascular imaging evaluation for risk stratification in patients with TIA or MIS.

Published
2021
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6. BENBI: Scalable and Dynamic Access Control on the Northbound Interface of SDN-Based VANET

Author

Jiasi Weng, Weiming Lan, Weiqi Luo, Jian Weng, and Yue Zhang

Subjects
Vehicular ad hoc network, Northbound interface, Computer Networks and Communications, Computer science, business.industry, Aerospace Engineering, 020302 automobile design & engineering, Access control, 02 engineering and technology, Encryption, 0203 mechanical engineering, Automotive Engineering, Scalability, Electrical and Electronic Engineering, business, Broadcast encryption, Computer network
Abstract

Recently, emerging SDN-based VANET (i.e., vehicular ad hoc network based on software-defined networking) enables VANET management to be programmable and flexible. It introduces SDN controllers to maintain network-wide resources and SDN applications to program configurations through arbitrarily accessing resources via the northbound interface (NBI). However, this brings with it security issues on the NBI, such as network-wide resource exposure and configuration manipulation. Most of the existing works employed permission systems to restrict resource access; these solutions are generally controller-dependent, which means controller codes need to be modified for giving access permissions to external applications. In this paper, we propose a scalable and dynamic access control scheme on the NBI for SDN-based VANET, named BENBI. In the proposed scheme, we dynamically and flexibly control network resources by employing broadcast encryption, rather than altering source codes of the controller or updating permission lists with various degrees of granularity. Moreover, the resources are encrypted during transmission so that they are only available to authorized applications. Finally, we implement a prototype of BENBI. The experimental results demonstrate that the cost of allocating secret keys is independent of the number of SDN entities being appointed, which indicates the scalability of our scheme.

Published
2019
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7. Investigation of crack tunneling in ductile materials

Author

Weiming Lan, Xiaomin Deng, and Michael A. Sutton

Subjects
Materials science, business.industry, Mechanical Engineering, Crack tip opening displacement, Fracture mechanics, Structural engineering, Crack growth resistance curve, Crack closure, Fracture toughness, Mechanics of Materials, Tearing, von Mises yield criterion, General Materials Science, Composite material, business, Stress concentration
Abstract

Crack tunneling has been commonly observed in crack growth experiments on specimens made of ductile materials such as steel and aluminum alloys. The objective of this study is to investigate the crack tunneling phenomenon and study the effects of crack tunneling on the distribution of several mechanics parameters controlling ductile fracture. Three-dimensional (3D) elastic–plastic finite element analyses of stable tearing experiments involving tunneling fracture are carried out. Two model problems based on stable tearing experiments are considered. The first model problem involves a plate specimen containing a stationary, single-edge crack with a straight or tunneled crack front, under remote mode I loading. In the numerical analyses, the crack tip opening displacement, the von Mises effective stress, the mean stress, the stress constraint and the effective plastic strain around straight and tunneled crack fronts are obtained and compared. It is found that crack tunneling produces significant changes in the stress and deformation fields around the crack front. The second model problem involves a specimen containing a stably growing single-edge crack with a straight or tunneled crack front, under remote mode I loading. Crack growth events with a straight or tunneled crack front are simulated using the finite element method, and the effect of crack tunneling on the prediction of the load-crack-extension response based on a CTOD fracture criterion is investigated.

Published
2010
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8. Study of slant fracture in ductile materials.

Author

Weiming Lan, Xiaomin Deng, Sutton, Michael, and Ching-Shan Cheng

Subjects
*FRACTURE mechanics, *DEFORMATIONS (Mechanics), *MATERIALS testing, *TORSION, *STRENGTH of materials, *STRAINS & stresses (Mechanics)
Abstract

Slant fracture is widely observed during crack growth in thin sheet specimens made of ductile materials, providing a good case for investigating three-dimensional criteria for mixed-mode ductile fracture. To gain an understanding of slant fracture events and to provide insight for establishing a slant fracture criterion, stable tearing fracture experiments on combined tension-torsion (nominal mixed-mode I/III) specimens and nominal Mode I Arcan specimens made of Al 2024-T3 are analyzed using the finite element method under three-dimensional conditions. Two types of finite element models are considered for the study of slant fracture: (a) combined tension-torsion specimens containing stationary, flat and slant cracks subject to loads corresponding to the onset of crack growth, and (b) stable tearing crack growth with slanting in a nominal Mode I Arcan specimen. Analysis results reveal that there exists a strong correlation between certain features of the crack-front effective plastic strain field and the orientation of the slant fracture surface. In particular, it is observed that (a) at the onset of crack growth in the combined tension-torsion experiments, the angular position of the maximum effective plastic strain around the crack front serves as a good indicator for the slant fracture surface orientation during subsequent crack growth; and (b) during stable tearing crack growth in the Mode I Arcan specimen, which experiences a flat-to-slant fracture surface transition, the crack growth path on each section plane through the thickness of the specimen coincides with the angular position of the maximum effective plastic strain around the crack front. [ABSTRACT FROM AUTHOR]

Published
2006
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