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Early identification of stroke through deep learning with multi-modal human speech and movement data

Neural Regeneration Research 2025年第1期20卷 234-241页

作者： Zijun Ou Haitao Wang bin Zhang Haobang Liang Bei Hu Longlong Ren Yanjuan liu Yuhu Zhang Chengbo Dai Hejun Wu Weifeng Li Xin Li school of computer science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Guangdong Neuroscience InstituteGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Emergency Medicine Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina

Early identification and treatment of stroke can greatly improve patient outcomes and quality of *** clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized *** this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute *** collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the *** compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and *** found that the findings of our deep learning model had a higher clinical value compared with the other ***,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech *** results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

关键词： artificial intelligence deep learning diagnosis early detection FAST screening stroke

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Rotating Consensus Problems of Second-Order Multi-agent Systems in Three Dimensional Space

Rotating Consensus Problems of Second-Order Multi-agent Syst...

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第三十届中国控制会议

作者： LIN peng~1,ZHANG Wenguang~2,SUN bin~1 1.The Institute of Astronautics and Aeronautics,university of Electronic science and Technology of china,Chengdu 610054,P.R.china 2.school of Control and computer Engineering,North china Electric Power university,Beijing 102206,P.R.china

＜正＞This paper addresses collective rotating motions of second-order multi-agent systems in three dimensional space（3-D）. A distributed control protocol is introduced.A necessary and sufficient condition is derived under which all agents reach consensus while rotating around a common point.A numerical example is provided to illustrate the effectiveness of the theoretical results.

关键词： Rotating motion Consensus problems Multi-agent systems

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Design and Implementation of a Trusted Remote Remediation Framework for Vehicle Software

Design and Implementation of a Trusted Remote Remediation Fr...

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第二十九届中国控制会议

作者： WANG Jian 1,LI bin 2,liu Yanheng 3 1 College of computer science and Technology,Jilin university,Changchun 130012,P.R.china2 Mathemetics school,Jilin university,Changchun 130012,P.R.china3 Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Changchun 130012,P.R.china

With the rapid development of vehicle electronic systems,the vehicle software failure rate has also been rising over *** the convenient and effective maintenance on the vehicle software has become a fundamental block constraining the progress of vehicle electronic industry.A trusted remote remediation framework for vehicle software is presented and realized to enable drivers to online upgrade version or fix bug without needing for driving the vehicles back to the factories or using the specific *** this framework,the trusted remediation server takes responsibility for managing and providing the patch programs and the trusted remediation client can download directly from the remediation server to upgrade programs or fix software errors,achieving the self-repair in complex vehicular networks.

关键词： Trusted Channel Vehicle Software Remote Remediation Bidirectional Authentication

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22nm全耗尽型绝缘体上硅器件单粒子瞬态效应的敏感区域

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国防科技大学学报 2024年第2期46卷 146-152页

作者：张博翰梁斌刘小年方亚豪国防科技大学计算机学院湖南长沙410073 湖南师范大学物理与电子科学学院湖南长沙410081

基于3D-TCAD模拟,研究了22 nm全耗尽型绝缘体上硅(fully depleted silicon-on-insulator,FDSOI)器件单粒子瞬态(single-event transient,SET)效应的敏感性区域。对比了使用单管和使用反相器来研究器件SET敏感性区域的方法,从而分析实际... 详细信息

基于3D-TCAD模拟,研究了22 nm全耗尽型绝缘体上硅(fully depleted silicon-on-insulator,FDSOI)器件单粒子瞬态(single-event transient,SET)效应的敏感性区域。对比了使用单管和使用反相器来研究器件SET敏感性区域的方法,从而分析实际电路中重离子轰击位置对22 nm FDSOI器件SET敏感性的影响,并从电荷收集机制的角度进行了解释。深入分析发现寄生双极放大效应对重粒子轰击位置敏感是造成器件不同区域SET敏感性不同的原因。而单管漏极接恒压源造成漏极敏感性增强是导致单管与反相器中器件SET敏感区域不同的原因。修正了FDSOI工艺下器件SET敏感性区域的研究方法,与单管相比,采用反相器进行仿真,结果更符合实际情况,这将为器件SET加固提供理论指导。

关键词：单粒子瞬态电荷收集双极放大效应敏感区域全耗尽型绝缘体上硅

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Global assessment of terrestrial productivity in response to water stress

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science Bulletin 2024年第15期69卷 2352-2356页

作者： Qi liu Huadong Guo Jiahua Zhang Shijie Li Ji Li Fengmei Yao Miguel D.Mahecha Jian peng school of computer Engineering Jiangsu University of TechnologyChangzhou 213001China College of Earth and Planetary sciences University of Chinese Academy of SciencesBeijing 101408China Department of Remote Sensing Helmholtz Centre for Environmental ResearchUFZLeipzig 04318Germany Remote Sensing Centre for Earth System Research Leipzig UniversityLeipzig 04103Germany Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China Remote Sensing and Digital Earth Center School of Computer Science and TechnologyQingdao UniversityQingdao 266071China Key Laboratory of Earth Observation of Hainan Province Hainan Aerospace Information Research InstituteChinese Academy of SciencesSanya 572000China school of Geographical sciences Nanjing University of Information Science and TechnologyNanjing 210044China Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China German Centre for Integrative Biodiversity Research(iDiv) Halle-Jena-Leipzig 04103Germany

In recent decades, climate warming has led to an increase in atmospheric water demand, a potential reduction in soil moisture and a rise in the frequency and intensity of droughts. This has intensified the effects of water stress on plants, leading to more vegetated areas experiencing water stress [1,2]. Soil moisture (SM)and vapor pressure deficit (VPD) are considered the two main factors that exert water stress on vegetation activity and terrestrial productivity, thereby affecting the global carbon cycle [3].

关键词： soil moisture terrestrial

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珠江口盆地白云凹陷东部古近系文昌组沉积演化特征

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中国石油大学学报（自然科学版） 2024年第1期48卷 77-90页

作者：刘太勋孙丰春彭光荣汪旭东孙辉解斌苏兆佳中国石油大学(华东)地球科学与技术学院山东青岛266580 中海石油深海开发有限公司广东深圳518054 中海石油(中国)有限公司深圳分公司广东深圳518054

充分利用新三维地震资料,结合测井以及录井资料,对珠江口盆地白云凹陷古近系文昌组层序地层、沉积特征及沉积演化进行研究,重新建立文昌组三级层序格架内的沉积体系演化过程。结果表明:白云凹陷东部文昌组自下而上共划分为5套三级层序,... 详细信息

充分利用新三维地震资料,结合测井以及录井资料,对珠江口盆地白云凹陷古近系文昌组层序地层、沉积特征及沉积演化进行研究,重新建立文昌组三级层序格架内的沉积体系演化过程。结果表明:白云凹陷东部文昌组自下而上共划分为5套三级层序,分别对应于初始裂陷期(WCSQ1)、拆离裂陷早期(WCSQ2,WCSQ3)、拆离裂陷晚期(WCSQ4,WCSQ5)3个构造演化阶段;初始裂陷期为多个孤立的箕状半地堑,以发育缓坡轴向物源辫状河三角洲、陡坡近源扇三角洲和滨浅湖沉积为特征;拆离裂陷早期断裂活动强烈,湖盆迅速扩张,半深湖—深湖局限发育,沉积中心北移,北部番禺低隆起发育大型辫状河三角洲沉积;拆离裂陷晚期断裂活动减弱,湖盆逐渐萎缩,沉积中心稳定在白云凹陷中部,主要发育小型辫状河三角洲沉积,滨浅湖发育;大型辫状河三角洲及扇三角洲砂体是白云凹陷东部的有利储集体。

关键词：沉积相沉积模式文昌组白云凹陷珠江口盆地

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Consensus of Multi-Agent Systems with General Linear Dynamics and Reduced-Order Protocols

Consensus of Multi-Agent Systems with General Linear Dynamic...

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第三十届中国控制会议

作者： LI Zhongkui~1,liu Xiangdong~1,LIN peng~2,REN Wei~3 1.school of Automation,Beijing Institute of Technology,Beijing 100081,P.R.china 2.Institute of Astronautics and Aeronautics,university of Electronics science and Technology of china, Chengdu 610054,P.R.china 3.Department of Electrical and computer Engineering,Utah State university,Logan,UT 84322,USA

＜正＞This paper considers the consensus problems for both continuous- and discrete-time linear multi-agent systems with directed communication *** reduced-order observer-based consensus protocols are proposed,based on the relative outputs of neighboring agents.A multi-step algorithm is presented to construct a reduced-order protocol,under which a continuous-time multi-agent system whose communication topology contains a directed spanning tree can reach *** algorithm has a favorable decoupling *** light of the modified algebraic Riccati equation,an algorithm is then given to construct a reduced-order protocol for the discrete-time case.

关键词： Multi-agent system Consensus Reduced-order protocol

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Patent expanded retrieval via word embedding under composite-domain perspectives

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Frontiers of computer science 2019年第5期13卷 1048-1061页

作者： Fei WANG Tieyun QIAN bin liu Zhiyong peng school of computer science Wuhan University Wuhan 430072 China State Key Lab of Software Engineering Wuhan University Wuhan 430072 China

Patent prior art search uses dispersed information to retrieve all the relevant documents with strong ambiguity from the massive patent database. This challenging task con-sists in patent reduction and patent expansion. Existing stud-ies on patent reduction ignore the relevance between techni-cal characteristics and technical domains, and result in am-biguous queries. Works on patent expansion expand terms from external resource by selecting words with similar dis-tribution or similar semantics. However, this splits the rele-vance between the distribution and semantics of the terms. Besides, common repository hardly meets the requirement of patent expansion for uncommon semantics and unusual terms. In order to solve these problems, we first present a novel composite-domain perspective model which converts the technical characteristic of a query patent to a specific composite classified domain and generates aspect queries. We then implement patent expansion with double consistency by combining distribution and semantics simultaneously. We also propose to train semantic vector spaces via word em-bedding under the specific classified domains, so as to pro-vide domain-aware expanded resource. Finally, multiple re-trieval results of the same topic are merged based on perspec-tive weight and rank in the results. Our experimental results on CLEP-IP 2010 demonstrate that our method is very effec-tive. It reaches about 5.43% improvement in recall and nearly 12.38% improvement in PRES over the state-of-the-art. Our work also achieves the best performance balance in terms of recall, MAP and PRES.

关键词： patent retrieval composite-domain perspective double-consistency expansion word embedding

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基于XLNET模型的开阳磷矿成矿条件相关地质实体识别与应用

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地质科技通报 2024年第4期43卷 224-234页

作者：彭彬田宜平曾斌吴雪超吴文明中国地质大学(武汉)计算机学院武汉430078 中国地质大学(武汉)生物地质与环境地质国家重点实验室武汉430078 中国地质大学(武汉)智能地学信息处理湖北省重点实验室武汉430078 自然资源部基岩区矿产资源勘查工程技术创新中心贵阳550081 贵州省战略矿产智慧勘查重点实验室贵阳550081 武汉地大坤迪科技有限公司武汉430200 贵州省地质矿产勘查开发局一○五地质大队贵阳550018

随着磷矿找矿难度越来越大,地质勘探成果报告也愈来愈多,通过人工识别海量文档中与磷矿成矿相关地质信息耗时低效,无法满足知识共享传播和地质报告智能管理的需求。为快速获得磷矿地质文档报告中隐藏的成矿地质知识,基于XLNET模型建立... 详细信息

随着磷矿找矿难度越来越大,地质勘探成果报告也愈来愈多,通过人工识别海量文档中与磷矿成矿相关地质信息耗时低效,无法满足知识共享传播和地质报告智能管理的需求。为快速获得磷矿地质文档报告中隐藏的成矿地质知识,基于XLNET模型建立了磷矿成矿地质实体自动识别的方法。首先对实体进行BIO标注建立地质实体字典,利用XLNET作为底层预处理模型学习句子双向语义;然后使用BILSTM-Attention-CRF模型实现文本多标签的智能分类;最后通过定位磷矿实体在报告中的分布位置大致推测该处磷矿成矿条件和成矿模式。将该模型与其余3种模型比较得出结果,该模型识别的准确率(P)、召回率(R)及F1值都接近了90%,较前3种模型分别调高了2%,5%,6%。该研究为开阳磷矿地质研究人员提供了更加高效的地质实体自动识别的方法。

关键词：地质实体识别 XLNET-BILSTM-Attention-CRF 磷矿成矿模式预训练模型序列标注

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Water consumption and biodiversity:Responses to global emergency events

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science Bulletin 2024年第16期69卷 2632-2646页

作者： Dandan Zhao Junguo liu Laixiang Sun Klaus Hubacek Stephan Pfister Kuishuang Feng Heran Zheng Xu peng Daoping Wang Hong Yang Lei Shen Fei Lun Xu Zhao bin Chen Marko Keskinen Shaohui Zhang Jialiang Cai Olli Varis Water&Development Research Group Department of Built EnvironmentAalto UniversityEspoo 15200Finland school of Water Conservancy North China University of Water Resources and Electric PowerZhengzhou 450046China school of Environmental science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Geographical sciences University of MarylandCollege Park 20742USA school of Finance and Management SOASUniversity of LondonLondon WC1H0XGUK Integrated Research on Energy Environment and SocietyEnergy and Sustainability Research Institute GroningenUniversity of GroningenGroningen 9747AGthe Netherlands ETH Zurich Institute of Environmental EngineeringZurich 8093Switzerland The Bartlett school of Sustainable Construction University College LondonLondon WC1E6BTUK school of Business Jiangnan UniversityWuxi 214122China Department of computer science and Technology University of CambridgeCambridge CB21TNUK w2e Environmental Consulting GmbH Duebendorf 8600Switzerland Key Laboratory for Resource Use and Environmental Remediation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Land science and Technology China Agricultural UniversityBeijing 100083China Institute of Blue and Green Development Shandong UniversityWeihai 264209China Fudan Tyndall Center Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China school of Economics and Management Beihang UniversityBeijing 100191China International Institute for Applied Systems Analysis Laxenburg A-2361Austria

Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2019(COVID-19)pandemic caused diverse disruptions and changes in life and work *** changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on ***,there has been a lack of holistic evaluation of these ***,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)*** framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of *** results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new *** 2020,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement ***,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on *** the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on *** study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency ***,we recommend the development o

关键词： Global emergency events Water-biodiversity causal effect COVID-19 Biodiversity MRIO-enhanced DPSIR framework Supply-chain network High-resolution water consumption dataset Supply-constrained multi-regional input-output(mixed MRIO)model

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