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| 1 | Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders:executive summary and 2019 update of the management of high-risk population显示文摘Aim Cerebrovascular disease is the leading cause of death and disability in China,causing a huge burden among patients and their families.Hence,stroke prevention is critical,especially in the high-risk population.Here,we present the evidence-based guideline suitable for the Chinese population.Methods Literature search of PubMed and Cochrane library(from January 1964 to June 2019)was done.After thorough discussion among the writing group members,recommendations were listed and summarised.This guideline was reviewed and discussed by the fellow writing committees of the Chinese Stroke Association’s Stroke.Results This evidence-based guideline was written in three parts:controlling the risk factors of stroke,utilisation of antiplatelet agents and assessing the risks of first-ever stroke.All recommendations were listed along with the recommending classes and levels of evidence.Conclusions This guideline provides recommendations for primary prevention of cerebrovascular disease among high-risk population in China.Controlling related risk factors,appropriately using antiplatelet agents,assessing the risk of developing first-ever stroke should help reduce the rate of cerebrovascular disease in China. | Yilong Wang Shangrong Han Haiqiang Qin Huaguang Zheng Bin Jiang Yong Cao Yuan Gao Ling Guan Qian Jia Yong Jiang Yuming Jiao Shuya Li Yapeng Li Zixiao Li Wei Liu Xiaojuan Ru Dongling Sun Haixin Sun Penglian Wang Tingting Wang Lixia Zong Lei Guo Xuewei Xie Yuming Xu Yuyuan Xu Xiaomeng Yang Yingying Yang Mengyuan Zhou Wenzhi Wang Chinese Stroke Association Stroke Council Guideline Writing Committee | 2020 | Stroke & Vascular Neurology2020，5，3： | 11 |
| 2 | Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis显示文摘This paper presents an innovative investigation on prototyping a digital twin(DT)as the platform for human-robot interactive welding and welder behavior analysis.This humanrobot interaction(HRI)working style helps to enhance human users'operational productivity and comfort;while data-driven welder behavior analysis benefits to further novice welder training.This HRI system includes three modules:1)a human user who demonstrates the welding operations offsite with her/his operations recorded by the motion-tracked handles;2)a robot that executes the demonstrated welding operations to complete the physical welding tasks onsite;3)a DT system that is developed based on virtual reality(VR)as a digital replica of the physical human-robot interactive welding environment.The DT system bridges a human user and robot through a bi-directional information flow:a)transmitting demonstrated welding operations in VR to the robot in the physical environment;b)displaying the physical welding scenes to human users in VR.Compared to existing DT systems reported in the literatures,the developed one provides better capability in engaging human users in interacting with welding scenes,through an augmented VR.To verify the effectiveness,six welders,skilled with certain manual welding training and unskilled without any training,tested the system by completing the same welding job;three skilled welders produce satisfied welded workpieces,while the other three unskilled do not.A data-driven approach as a combination of fast Fourier transform(FFT),principal component analysis(PCA),and support vector machine(SVM)is developed to analyze their behaviors.Given an operation sequence,i.e.,motion speed sequence of the welding torch,frequency features are firstly extracted by FFT and then reduced in dimension through PCA,which are finally routed into SVM for classification.The trained model demonstrates a 94.44%classification accuracy in the testing dataset.The successful pattern recognition in skilled welder operations should benefit to accelerate novice welder training. | Qiyue Wang Wenhua Jiao Peng Wang YuMing Zhang | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，2： | 5 |
| 3 | Classification of brain arteriovenous malformations located in motor-related areas based on location and anterior choroidal artery feeding显示文摘Objective Surgical management of arteriovenous malformations(AVMs)involving motor cortex or fibre tracts(M-AVMs)is challenging.This study aimed to construct a classification system based on nidus locations and anterior choroidal artery(AChA)feeding to pre-surgically evaluate motor-related and seizure-related outcomes in patients undergoing resection of M-AVMs.Methods and materials A total of 125 patients who underwent microsurgical resection of M-AVMs were retrospectively reviewed.Four subtypes were identified based on nidus location:(I)nidus involving the premotor area and/or supplementary motor areas;(II)nidus involving the precentral gyrus;(III)nidus involving the corticospinal tract(CST)and superior to the posterior limb of the internal capsule;(IV)nidus involving the CST at or inferior to the level of posterior limb of the internal capsule.In addition,we divided type IV into type IVa and type IVb according to the AChA feeding.Surgical-related motor deficit(MD)evaluations were performed 1 week(short-term)and 6 months(long-term)after surgery.Results The type I patients exhibited the highest incidence(62.0%)of pre-surgical epilepsy among the four subtypes.Multivariate analysis showed that motor-related area subtypes(p=0.004)and diffuse nidus(p=0.014)were significantly associated with long-term MDs.Long-term MDs were significantly less frequent in type I than in the other types.Type IV patients acquired the highest proportion(four patients,25.0%)of long-term poor outcomes(mRS>2).Type IVb patients showed a significantly higher incidence of post-surgical MDs than type IVa patients(p=0.041).The MDs of type III or IV patients required more recovery time.Of the 62 patients who had pre-surgical seizures,90.3%(56/62)controlled their seizures well and reached Engel class I after surgery.Conclusions Combining the consideration of location and AChA feeding,the classification for M-AVMs is a useful approach for predicting post-surgical motor function and decision-making. | Yuming Jiao Hao Li Weilun Fu Jiancong Weng Ran Huo Yinyan Wang Shuo Wang Tao Jiang Yong Cao Ji Zong Zhao | 2021 | Stroke & Vascular Neurology2021，6，3： | 4 |
| 4 | Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis,prognosis and drug target discovery显示文摘Disease progression prediction and therapeutic drug target discovery for Coronavirus disease 2019(COVID-19)are particularly important,as there is still no effective strategy for severe COVID-19 patient treatment.Herein,we performed multi-platform omics analysis of serial plasma and urine samples collected from patients during the course of COVID-19.Integrative analyses of these omics data revealed several potential therapeutic targets,such as ANXA1 and CLEC3B.Molecular changes in plasma indicated dysregulation of macrophage and suppression of T cell functions in severe patients compared to those in non-severe patients.Further,we chose 25 important molecular signatures as potential biomarkers for the prediction of disease severity.The prediction power was validated using corresponding urine samples and plasma samples from new COVID-19 patient cohort,with AUC reached to 0.904 and 0.988,respectively.In conclusion,our omics data proposed not only potential therapeutic targets,but also biomarkers for understanding the pathogenesis of severe COVID-19. | Yuming Li Guixue Hou Haibo Zhou Yanqun Wang Hein Min Tun Airu Zhu Jingxian Zhao Fei Xiao Shanwen Lin Dongdong Liu Dunrong Zhou Lang Mai Lu Zhang Zhaoyong Zhang Lijun Kuang Jiao Guan Qiushi Chen Liyan Wen Yanjun Zhang Jianfen Zhuo Fang Li Zhen Zhuang Zhao Chen Ling Luo Donglan Liu Chunke Chen Mian Gan Nanshan Zhong Jincun Zhao Yan Ren Yonghao Xu | 2021 | Signal Transduction and Targeted Therapy2021，6，5： | 1 |
| 5 | Low Cost Multi-channels Gallium Arsenide Absorption-based Fiber Optic Temperature Sensing System 显示文摘 | DONG Yuming JIAO Guohua LU Yuanfu | 2013 | Proceedings of SPIE(S0277-786X)2013，9044，90： | 1 |
| 6 | KRAS mutation-induced EndMT of brain arteriovenous malformation is mediated through the TGF-β/BMP-SMAD4 pathway显示文摘Objective Somatic KRAS mutations have been identified in the majority of brain arteriovenous malformations(bAVMs),and subsequent in vivo experiments have confirmed that KRAS mutation in endothelial cells(ECs)causes AVMs in mouse and zebrafish models.Our previous study demonstrated that the KRASG12D mutant independently induced the endothelial-mesenchymal transition(EndMT),which was reversed by treatment with the lipid-lowering drug lovastatin.However,the underlying mechanisms of action were unclear.Methods We used human umbilical vein ECs(HUVECs)overexpressing the KRASG12D mutant for Western blotting,quantitative real-time PCR,and immunofluorescence and wound healing assays to evaluate the EndMT and determine the activation of downstream pathways.Knockdown of SMAD4 by RNA interference was performed to explore the role of SMAD4 in regulating the EndMT.BAVM ECs expressing the KRASG12D mutant were obtained to verify the SMAD4 function.Finally,we performed a coimmunoprecipitation assay to probe the mechanism by which lovastatin affects SMAD4.Results HUVECs infected with KRASG12D adenovirus underwent the EndMT.Transforming growth factor beta(TGF-β)and bone morphogenetic protein(BMP)signalling pathways were activated in the KRASG12D-mutant HUVECs and ECs in bAVM tissue.Knocking down SMAD4 expression in both KRASG12D-mutant HUVECs and ECs in bAVM tissues inhibited the EndMT.Lovastatin attenuated the EndMT by downregulating p-SMAD2/3,p-SMAD1/5 and acetylated SMAD4 expression in KRASG12D-mutant HUVECs.Conclusions Our findings suggest that the KRASG12D mutant induces the EndMT by activating the ERK-TGF-β/BMP-SMAD4 signalling pathway and that lovastatin inhibits the EndMT by suppressing TGF-β/BMP pathway activation and SMAD4 acetylation. | Hongyuan Xu Ran Huo Hao Li Yuming Jiao Jiancong Weng Jie Wang Zihan Yan Junze Zhang Shaozhi Zhao Qiheng He Yingfan Sun Shuo Wang Yong Cao | 2023 | Stroke & Vascular Neurology2023，8，3： | 1 |
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