检索结果-南通市图书馆

International Journal of Automation and computing 2020年第1期17卷 71-82页

作者： Gao-Wei Zhang Peng Yang Jie Wang jian-Jun sun Yan Zhang School of Artificial Intelligence Hebei University of TechnologyTianjin 300130China Enginnering research center of {2. Rehabilitation and Detection Technology Ministry of EducationTianjin 300130China

To achieve the fast convergence and tracking precision of a robotic upper-limb exoskeleton,this paper proposes an observer-based integrated fixed-time control scheme with a backstepping ***,a typical 5 DoF(degrees of freedom)dynamics is constructed by Lagrange equations and processed for control ***,second-order sliding mode controllers(SOSMC)are developed and novel sliding mode surfaces are introduced to ensure the fixed-time convergence of the human-robot *** the reaching time and settling time are proved to be bounded with certain values independent of initial system *** the purpose of rejecting the matched and unmatched disturbances,nonlinear fixed-time observers are employed to estimate the exact value of disturbances and compensate the controllers ***,the synthesis of controllers and disturbance observers is adopted to achieve the excellent tracking performance and simulations are given to verify the effectiveness of the proposed control strategy.

关键词： Upper-limb exoskeleton sliding mode control(SMC) fixed-time control disturbance observe backstepping

Assessment of causal direction between thyroid function and cardiometabolic health:a Mendelian randomization study

在线全文

学校读者我要写书评

暂无评论

Journal of Geriatric Cardiology 2022年第1期19卷 61-70页

作者： Jing-Jia WANG Zhen-Huang ZHUANG Can-Qing YU Wen-Yao WANG Wen-Xiu WANG kuo ZHANG Xiang-Bin MENG Jun GAO jian TIAN Ji-Lin ZHENG Jie YANG Tao HUANG Chun-Li SHAO Yi-Da TANG Department of Cardiology State Key Laboratory of Cardiovascular DiseaseFuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina Department of Epidemiology&Biostatistics School of Public HealthPeking UniversityBeijingChina center for intelligent Public Health Academy for Artificial IntelligencePeking UniversityBeijingChina Department of Cardiology and Institute of Vascular Medicine Peking University Third HospitalBeijingChina Key Laboratory of Molecular Cardiovascular Sciences(Peking University) Ministry of EducationBeijingChina

BACKGROUND Growing evidence have demonstrated that thyroid hormones have been involved in the processes of cardiovascular ***,the causal relationship of thyroid function and cardiometabolic health remains partly *** The Mendelian randomization(MR)was used to test genetic,potentially causal relationships between instrumental variables and cardiometabolic *** variants of free thyroxine(FT4)and thyrotropin(TSH)levels within the reference range were used as instrumental *** for genetic associations with cardiometabolic diseases were acquired from the genome-wide association studies of the FinnGen,CARDIoGRAM and CARDIoGRAMplusC4D,CHARGE,and *** study was conducted using summary statistic data from large,previously described *** between thyroid function and essential hypertension(EHTN),secondary hypertension(SHTN),hyperlipidemia(HPL),type 2.diabetes mellitus(T2.M),ischemic heart disease(IHD),myocardial infarction(MI),heart failure(HF),pulmonary heart disease(PHD),stroke,and non-rheumatic valve disease(NRVD)were *** Genetically predicted FT4 levels were associated with SHTN(odds ratio=0.48;95%CI=0.04−0.82.P=0.02.),HPL(odds ratio=0.67;95%CI=0.18−0.88,P=0.02.),T2.M(odds ratio=0.80;95%CI=0.42.0.86,P=0.005),IHD(odds ratio=0.85;95%CI=0.49−0.98,P=0.039),NRVD(odds ratio=0.75;95%CI=0.2.−0.97,P=0.039).Additionally,genetically predicted TSH levels were associated with HF(odds ratio=0.82.95%CI=0.68−0.99,P=0.042.,PHD(odds ratio=0.75;95%CI=0.32.0.82.P=0.006),stroke(odds ratio=0.95;95%CI=0.81−0.97,P=0.007).However,genetically predicted thyroid function traits were not associated with EHTN and *** Our study suggests FT4 and TSH are associated with cardiometabolic diseases,underscoring the importance of the pituitary-thyroid-cardiac axis in cardiometabolic health susceptibility.

关键词： cardio function random

Van der Waals ferroelectric transistors:the all-round artificial synapses for high-precision neuromorphic computing

在线全文

学校读者我要写书评

暂无评论

Chip 2023年第2期2卷 8-15页

作者： Zhongwang Wang Xuefan Zhou Xiaochi Liu Aocheng Qiu Caifang Gao Yahua Yuan Yumei Jing Dou Zhang Wenwu Li Hang Luo Junhao Chu jian {2. School of Physics and Electronics Central South UniversityChangsha 410083China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha 410083China Shanghai Frontiers Science research Base of intelligent Optoelectronics and Perception Institute of OptoelectronicsDepartment of Materials ScienceFudan UniversityShanghai 200433China national Key Laboratory of Integrated Circuit Chips and systems Zhang Jiang Fudan International Innovation CenterFudan UniversityShanghai 200433China Raith China Beijing 100013China

State number,operation power,dynamic range and conductance weight update linearity are key synaptic device performance metrics for high-accuracy and low-power-consumption neuromorphic com-puting in ***,high linearity and low power consump-tion couldn’t be simultaneously achieved by most of the reported synaptic devices,which limits the performance of the *** work demonstrates van der Waals(vdW)stacked ferroelectric field-effect transistors(FeFET)with single-crystalline ferroelectric *** are of fine vdW interface and partial polar-ization switching of multi-domains under electric field pulses,which makes the FeFETs exhibit multi-state memory characteristics and ex-cellent synaptic *** also exhibit a desired linear conduc-tance weight update with 12. conductance states,a sufficiently high dynamic range of G_(max)/G_(min)>12.,and a low power consumption of 10 fJ/spike using identical *** on such an all-round device,a two-layer artificial neural network was built to conduct Modified Na-tional Institute of Standards and Technology(MNIST)digital num-bers and electrocardiogram(ECG)pattern-recognition simulations,with the high accuracies reaching 97.6%and 92.4%,*** remarkable performance demonstrates that vdW-FeFET is of obvious advantages in high-precision neuromorphic computing applications.

关键词： Ferroelectric transistors Ferroelectric van der Waals het-erostructures Artificial synapses Neuromorphic computing

Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Cancer Communications 2018年第1期38卷 50-62页

作者： Jin-cheng Guo Yang Wu Yang chen Feng Pan Zhi-Yong Wu Jia-Sheng Zhang {2.-Yi Wu Xiu-E Xu {2.-Mei Zhao En-Min Li Yi Zhao Li-Yan Xu Key Laboratory of Molecular Biology in High Cancer Incidence Coastal Chaoshan Area of Guangdong Higher Education Institutes Shantou University Medical CollegeShantouGuangdong 515041P.R.China Department of Biochemistry and Molecular Biology Shantou University Medical CollegeShantouGuangdong 515041P.R.China Departments of Oncology Surgery Shantou Central HospitalAffiliated Shantou Hospital of Sun Yat-Sen UniversityShantouGuangdong 515041P.R.China Institute of Oncologic Pathology Shantou University Medical CollegeShantouGuangdong 515041P.R.China Key Laboratory of intelligent Information Processing Advanced Computer Research CenterState Key Laboratory of Computer ArchitectureInstitute of Computing TechnologyChinese Academy of SciencesBeijing 100190P.R.China

Background:Esophageal squamous cell carcinoma(ESCC)is the predominant subtype of esophageal carcinoma in *** study was to develop a staging model to predict outcomes of patients with ***:Using Cox regression analysis,principal component analysis(PCA),partitioning clustering,Kaplan-Meier analysis,receiver operating characteristic(ROC)curve analysis,and classification and regression tree(CART)analysis,we mined the Gene Expression Omnibus database to determine the expression profiles of genes in 179 patients with ESCC from GSE6362. and GSE6362. ***:Univariate cox regression analysis of the GSE6362. dataset revealed that 2.04 protein-coding genes(PCGs)and 635 long non-coding RNAs(lncRNAs)were associated with the survival of patients with *** categorized these PCGs and lncRNAs into three principal components(PCs),which were used to cluster the patients into three *** analysis demonstrated that the predictive ability of PCG-lncRNA PCs when applied to new patients was better than that of the tumor-node-metastasis staging(area under ROC curve[AUC]:0.69 vs.0.65,P362. *** LSB staging model classified the GSE6362. dataset of patients into three different groups,and its effectiveness was validated by analysis of another cohort of 105 ***:The LSB staging model has clinical significance for the prognosis prediction of patients with ESCC and may serve as a three-gene staging microarray.

关键词： Long non-coding RNA Protein-coding gene Esophageal squamous cell carcinoma Overall survival Staging model Transcriptome

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

面向钻蛀振动实时侦听的深度学习模型压缩

北京林业大学学报 2021年第6期43卷 92-100页

作者：张海燕袁明帅蒋琦孙钰崔剑任利利骆有庆北京林业大学信息学院国家林业和草原局林业智能信息处理工程技术研究中心北京100083 北京林业大学林学院北京100083 北京航空航天大学网络空间安全学院北京100191

【目的】基于深度学习的钻蛀振动识别模型结合边缘计算可实现林业蛀干害虫钻蛀振动长期监测和实时预警,但要求大幅压缩智能识别模型的参数量和运算量。本研究采用深度学习模型压缩算法,在不损失精度的前提下,对已有的钻蛀振动识别模型... 详细信息

【目的】基于深度学习的钻蛀振动识别模型结合边缘计算可实现林业蛀干害虫钻蛀振动长期监测和实时预警,但要求大幅压缩智能识别模型的参数量和运算量。本研究采用深度学习模型压缩算法,在不损失精度的前提下,对已有的钻蛀振动识别模型进行压缩,减小模型的体积并提升模型在嵌入式平台的识别速度。【方法】首先采集双条杉天牛钻蛀振动和背景噪声两类信号训练人工设计的5层卷积神经网络BoringNet,得到钻蛀振动识别模型;然后分别使用不同裁剪率的滤波器裁剪、模型量化、多目标知识蒸馏对钻蛀振动识别模型进行压缩;最后设计上述压缩算法的组合策略,联合使用3种算法对蛀振动识别模型进行压缩,探究多种组合的模型压缩效果。【结果】3种模型压缩算法组合,裁剪率为60%时模型达到最优,此时模型计算量和参数量分别从原模型的18.06×10^(6)次和0.54×10^(6)个降低为3.01×10^(6)次和0.09×10^(6)个,模型体积从2.00 kB压缩至134.9 kB,树莓派3B+上的识别时间由原模型的9.04 ms降低至1.65 ms,而模型精度仍能达到99.2.%,提升了0.5%。【结论】本研究的深度学习模型压缩方法,可以针对钻蛀振动侦听场景大幅压缩模型参数量和运算量,在保证准确率的前提下实现嵌入式平台的实时识别,促进钻蛀振动识别模型从工作站试验到野外实地部署的转变,为钻蛀振动识别的边缘计算奠定基础。

关键词：深度学习边缘计算钻蛀振动识别模型压缩模型压缩算法组合

Reciprocating Magnetic Fields in the Pulsar Wind Observed from the Black Widow Pulsar J172.-0534

在线全文

学校读者我要写书评

暂无评论

research in Astronomy and Astrophysics 2023年第10期23卷 255-266页

作者： chen-chen Miao Victoria Blackmon Wei-Wei Zhu Dong-Zi Li Ming-Yu Ge Xiao-Peng You Maura McLaughlin Di Li Na Wang Pei Wang Jia-Rui Niu M.Cruces {2.-Ping Yuan Jun-Tao Bai D.J.Champion Yu-Tong chen Ming-Min Chi P.C.C.Freire Yi Feng Zhen-Ye Gan M.Kramer Fei-Fei Kou Yu-Xi Li Xue-Li Miao Ling-Qi Meng chen-Hui Niu Sheng-Nan sun Zhong-Yi sun H.M.Tedila Shuang-Qiang Wang Qing-Dong Wu Jing-Bo Wang Zhi-Gang Wen Shen Wang Ya-Biao Wang cheng-Jie Wang Meng-Yao Xue You-Ling Yue Mao Yuan Ju-Mei Yao Wen-Ming Yan Ru-Shuang Zhao Lei Zhang De Zhao national Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China West Virginia University 1500 University AveMorgantownWV 26506USA Institute for Frontiers in Astronomy and Astrophysics Beijing Normal UniversityBeijing 102206China Cahill center for Astronomy and Astrophysics California Institute of Technology1216 E California BoulevardPasadenaCA 91125USA Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China School of Physical Science and Technology Southwest UniversityChongqing 400715China research center for {2. computing Platforms Zhejiang LaboratoryHangzhou 311100China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China Max-Planck Institut für Radioastronomie Auf dem Hügel 69D-53121 BonnGermany School of Computer Science Fudan UniversityShanghai 200433China Tencent Youtu Lab Shanghai 200233China College of Physical Science and Technology Central China Normal UniversityWuhan 430079China Institute of Optoelectronic Technology Lishui UniversityLishui 323000China Guizhou Normal University Guiyang 550001China

We report the radio observations of the eclipsing black widow pulsar J172.-0534, a 3.2. ms pulsar in orbit with a low mass companion of mass 0.02. to 0.034 M⊙. We obtain the phase-connected timing ephemeris and polarization profile of this millisecond pulsar(MSP) using the Five-hundred-meter Aperture Spherical radio Telescope(FAST), the Green Bank Telescope(GBT), and the Parkes Telescope. For the first time from such a system, an oscillatory polarization angle change was observed from a particular eclipse egress with partial depolarization, indicating 10-milliGauss-level reciprocating magnetic fields oscillating in a length scale of 5 ×10^(3)km(assuming an orbital inclination angle of 90°) outside the companion's magnetosphere. The dispersion measure variation observed during the ingresses and egresses shows the rapid raising of the electron density in the shock boundary between the companion's magnetosphere and the surrounding pulsar wind. We suggest that the observed oscillatory magnetic fields originate from the pulsar wind outside the companion's magnetosphere.

关键词： (stars:)pulsars:general (stars:)pulsars:individual(J172.-0534) (stars:)binaries:eclipsing