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Exploring reservoir computing:Implementation via double stochastic nanowire networks

Chinese Physics B 2024年第3期33卷 572-582页

作者：唐健峰夏磊李广隶付军段书凯王丽丹 College of Artificial Intelligence Southwest UniversityChongqing 400715China Brain-inspired Computing & Intelligent Control of Chongqing Key Laboratory Chongqing 400715China National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing 400715China Chongqing Brain Science Collaborative Innovation Center Chongqing 400715China Key Laboratory of Luminescence Analysis and Molecular Sensing Ministry of EducationSouthwest UniversityChongqing 400715China State Key Laboratory of Intelligent Vehicle Safety Technology Chongqing 400715China

Neuromorphic computing,inspired by the human brain,uses memristor devices for complex *** studies show that self-organizing random nanowires can implement neuromorphic information processing,enabling data *** paper presents a model based on these nanowire networks,with an improved conductance variation *** suggest using these networks for temporal information processing via a reservoir computing scheme and propose an efficient data encoding method using voltage *** nanowire network layer generates dynamic behaviors for pulse voltages,allowing time series prediction *** experiment uses a double stochastic nanowire network architecture for processing multiple input signals,outperforming traditional reservoir computing in terms of fewer nodes,enriched dynamics and improved prediction *** results confirm the high accuracy of this architecture on multiple real-time series datasets,making neuromorphic nanowire networks promising for physical implementation of reservoir computing.

关键词： double-layer stochastic(DS)nanowire network architecture neuromorphic computation nanowire network reservoir computing time series prediction

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Formal management-specifying approach for model-based safety assessment

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Journal of systems Engineering and Electronics 2023年第6期34卷 1589-1601页

作者： XU Changyi DUAN Yiman ZHANG Chao School of Control Science and Engineering Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of EducationDalian University of TechnologyDalian 116024China State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou 310027China

In the field of model-based system assessment,mathematical models are used to interpret the system ***,the industrial systems in this intelligent era will be more *** management operations will be dynamically set,and the system will be no longer static as it is initially ***,the static model generated by the traditional model-based safety assessment(MBSA)approach cannot be used to accurately assess the *** mainly exists three ***:huge and complex behaviors make the modeling to be trivial manual;Dynamic:though there are thousands of states and transitions,the previous model must be resubmitted to assess whenever new management arrives;Unreusable:as for different systems,the model must be resubmitted by reconsidering both the management and the system itself at the same time though the management is the *** by solving the above problems,this research studies a formal management specifying approach with the advantages of agility modeling,dynamic modeling,and specification design that can be ***,three typical managements are specified in a series-parallel system as a demonstration to show the potential.

关键词： model-based safety assessment(MBSA) management availability reliability maintainability continuous time Markov chain.

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Group consensus of multi-agent systems with additive noises

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Science China(Information Sciences) 2022年第10期65卷 242-255页

作者： Chuanjian LI Xiaofeng ZONG School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper is concerned with group consensus of multi-agent systems(MASs) that consist of two groups in additive noise environments. First, a control protocol is proposed based on the state information of each agent's neighbors corrupted by additive noises. Second, some sufficient conditions and necessary conditions are obtained for the following two types of group consensus behaviors.(1) Pure group consensus:agents in both groups have the same behavior(weak consensus or strong consensus);(2) hybrid group consensus: agents in different groups achieve different consensus behaviors. It is revealed that the influence between the two groups should be attenuated such that the MASs can achieve group consensus in additive noise environments, i.e., the affected group must fight against the influence that comes from another ***, some simulation examples are given to illustrate the feasibility of the theoretical results.

关键词： group consensus multi-agent systems additive noises pure group consensus hybrid group consensus

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Time-varying formation tracking control of high-order multi-agent systems with multiple leaders and multiplicative noise

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Science China(Information Sciences) 2024年第12期67卷 191-207页

作者： Ruru JIA Xiaofeng ZONG Qing WANG College of Artificial Intelligence Nankai University School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation Science and Electrical Engineering Beihang University

This work discusses the time-varying formation(TVF) tracking control problem of high-order multi-agent systems(MASs) with multiple leaders and multiplicative measurement noise. With the help of Lyapunov function tools and stochastic analysis methods, the TVF tracking protocol with multiple leaders and multiplicative noise is developed based on the relative state measurements, where followers are driven to realize the target TVF while tracking the convex combination formed by multiple leaders. Then, the TVF tracking problem is converted into the mean square asymptotic stability problem of a stochastic differential equation(SDE); sufficient conditions related to the control gains are given by stabilizing the corresponding stochastic system. Moreover, a TVF tracking algorithm is presented to outline the steps of protocol ***, the theoretical results are illustrated in terms of simulation examples.

关键词： multi-agent systems multiple leaders multiplicative measurement noise stochastic differential equation formation tracking control

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A Scoping Review of Real-World Study in Vaccine Evaluation

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China CDC weekly 2024年第16期6卷 357-362页

作者： Lei Wang Hong Yang Lanfang Xia Quanwei Song Na Liu Guomin Zhang Fuzhen Wang Huaqing Wang National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID) BeijingChina National Immunization Program Chinese Center for Disease Control and PreventionBeijingChina

Real-world study(RWS)gained prominence starting with a significant investigation on ramipril’s impact on hypertension in 1993(1).A key advancement for the Food and Drug Administration(FDA)occurred with the enactment of the 21st Century Cures Act in 2016,emphasizing RWS(2).The FDA’s Real-world Evidence Program establishes real-world data(RWD)as“data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources”,while real-world evidence(RWE)is“clinical evidence about the usage and potential benefits or risks of a medical product derived from analysis of RWD”(3).The proliferation of big data,electronic medical records(EMR),electronic health records(EHR),and medical claims data offers vast information resources facilitating *** access to RWD allows for worldwide monitoring of the impacts of various public health initiatives like vaccination *** randomized clinical trials(RCTs)traditionally gauge vaccine efficacy and shortterm safety,RWS can assess vaccine performance and safety across larger,more diverse populations and are adept at identifying rare events not easily discernible in RCTs due to their infrequency.

关键词： routine gained traditionally

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Comparison of Statistical Signal Detection Methods in Adverse Events Following Immunization — China, 2011–2015

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China CDC weekly 2024年第16期6卷 350-356,I0001页

作者： Lanfang Xia Keli Li Yan Li Zhijie An Quanwei Song Lei Wang Zundong Yin Huaqing Wang National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases(NITFID) BeijingChina National Immunization Program Chinese Center for Disease Control and PreventionBeijingChina

Introduction:The current study aims to assess the performance of data mining techniques in detecting safety signals for adverse events following immunization(AEFI)using routinely obtained data in *** different methods for detecting vaccine safety signals were ***:The AEFI data from 2011 to 2015 was collected for our *** analyzed the data using four different methods to detect signals:the proportional reporting ratio(PRR),reporting odds ratio(ROR),Bayesian confidence propagation neural network(BCPNN),and multi-item gamma Poisson shrinker(MGPS).Each method was evaluated at 1–3 thresholds for *** assess the performance of these methods,we used the published signal rates as gold standards to determine the sensitivity and ***:The number of identified signals varied from 602 for PRR1(with a threshold of 1)to 127 for *** considering the common reactions as the reference standard,the sensitivity ranged from 0.9%for MGPS1/2 to 38.2%for PRR1/2,and the specificity ranged from 85.2%for PRR1 and ROR1 to 96.7%for *** considering the rare reactions as the reference standard,PRR1,PRR2,ROR1,ROR2,and BCPNN exhibited the highest sensitivity(73.3%),while MGPS1 exhibited the highest specificity(96.9%).Discussion:For common reactions,the sensitivities were modest and the specificities were *** rare reactions,both the sensitivities and specificities were *** study provides valuable insights into the selection of signal detection methods and thresholds for AEFI data in China.

关键词： specificity routine vaccine

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Advancing virology research with a human brain organoid platform

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hLife 2025年第5期3卷 237-242页

作者： Liu, Juntong Zhu, Na Huo, Weibang Tan, Wenjie National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China

Citation:Liu J,Zhu N,Huo W,et *** virology research with a human brain organoid *** 2025;3:237–*** occurrence of viral infections causing central nervous system(CNS)diseases is significant,often accompanied by short-term or long-term sequelae and a high mortality *** clinical manifestations of viral infections that impact the CNS encompass encephalitis,meningitis,myelitis,and seizures[1].Treatments specific to most viral infections are generally limited.

关键词： viral infections central nervous system central nervous system cns diseases encephalitis virology human brain organoid human brain organoid platformhlife virology research

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Study on the Technical Parameters for Estimating HIV-1 Incidence by Using a Recombinant Antigen-based Capture Enzyme Immunoassay—China

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China CDC weekly 2024年第48期6卷 1278-1282页

作者： Wenli Liang Jibao Wang Hongxia Yan Xinhui Zhang Dorjiwangmo Dongmin Li Xing Duan Hao Wu Yinyin Wang Li Bai Jian Sun Mengjie Han Yikui Wang Bin Su Min Wang Tashibazong Wenge Xing Cui Zhang Ruijuan Qiao Maofeng Qiu National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Center for AIDS/STD Control and PreventionChinese Center for Disease Control and PreventionBeijingChina Department of AIDS/STD Control and Prevention Dehong Center for Disease Control and PreventionMangshi CountyDehong Dai and Jingpo Autonomous PrefectureYunnan ProvinceChina Beijing Key Laboratory for HIV/AIDS Research Beijing Youan HospitalCapital Medical UniversityBeijingChina Institute of Infectious Diseases Prevention and Treatment Guizhou Provincial Center for Disease Control and PreventionGuiyang CityGuizhou ProvinceChina Department of AIDS Control and Prevention Xizang Autonomous Region Center for Disease Control and PreventionLhasa CityXizang Autonomous RegionChina Experimental Center Guizhou Provincial Center for Disease Control and PreventionGuiyang CityGuizhou ProvinceChina Department of AIDS Control and Prevention Gansu Provincial Center for Disease Control and PreventionLanzhou CityGansu ProvinceChina Laboratory Department Liupanshui Center for Disease Control and PreventionLiupanshui CityGuizhou ProvinceChina

Introduction:A novel recombinant antigen-based capture enzyme immunoassay(RAg-CEIA)was optimized and used to determine technical parameters for estimating human immunodeficiency virus type 1(HIV-1)incidence in ***:We employed orthogonal experimental design to optimize RAg-CEIA by adjusting raw material dilution *** assay was used to measure normalized optical density(ODn)values in 171 longitudinal plasma specimens from 51 HIV-1 seroconverting individuals,plotted against estimated days *** determined the optimal ODn threshold value for differentiating recent from long-term infections and calculated the mean duration of recent infection(MDRI)for incidence *** false recent rate(FRR)was determined using 481 HIV-1 antibody-positive specimens with infection durations exceeding twice the ***:Optimal RAg-CEIA parameters were established with a raw material dilution ratio of 1/12 for calibrator preparation and an enzyme conjugate titer of 1:*** values demonstrated consistent temporal increases across HIV-1 seroconverting individuals,though with notable kinetic heterogeneity in individual *** optimal ODn threshold value of 0.8 for distinguishing recent from long-term infections corresponded to an MDRI of 205 days and an FRR of 4.78%.Conclusions:The optimized RAg-CEIA effectively differentiates recent from long-term HIV-1 infections at the population level,enabling reliable HIV-1 incidence estimation in China.

关键词： Antigen exceeding false

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Estimation Network Design framework for efficient distributed optimization 63

Estimation Network Design framework for efficient distribute...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Bianchi, Mattia Grammatico, Sergio Automatic Control Laboratory Eth Zürich Switzerland Tu Delft Delft Center for Systems and Control Netherlands

ISBN: (纸本)9798350316339

Distributed decision problems feature a group of agents that can only communicate over a peer-to-peer network, without a central memory. In applications such as network control and data ranking, each agent is only affected by a small portion of the decision vector: this sparsity is typically ignored in distributed algorithms, while it could be leveraged to improve efficiency and scalability. To address this issue, our recent paper [1] introduces Estimation Network Design (END), a graph theoretical language for analysis and design of distributed iterations. END methods can be tuned to exploit the sparsity of specific problem instances, reducing communication overhead and minimizing redundancy, yet without requiring case-by-case convergence analysis. In this paper, we showcase the flexibility of END in the context of distributed optimization. In particular, we study the sparsity-aware version of many established algorithms, including ADMM, AugDGM and PushSum DGD. Simulations on an estimation problem in sensor networks demonstrate that END algorithms can boost convergence speed and greatly reduce the communication cost. © 2024 IEEE.

关键词： Peer to peer networks

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Patient Delay in the Diagnosis of Pulmonary Tuberculosis in the Elderly—China,2015-2023

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China CDC weekly 2024年第42期6卷 1075-1079页

作者： Yushu Liu Mingkuan Fan Yuhong Li Jiaojie Kang Ybryim A Tianxin Yan Jun Cheng Hui Zhang National Center for Tuberculosis Control and Prevention ChineseCenter for Disease Control and PreventionBeijingChina Medical College of Xiangyang Polytechnic Xiangyang CityHubei ProvinceChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases Chinese Center for Disease Control and PreventionBeijingChina

What is already known about this topic?Patient delay in seeking medical care for pulmonary tuberculosis(PTB),especially among elderly individuals with weakened immune systems and mild symptoms,not only slows their recovery but also increases the risk of tuberculosis spread because cases are not identified *** is added by this report?In China,patient delays experienced by elderly PTB patients showed a modest decrease from 2015 to ***,longer patient delays were observed among agricultural workers and those identified through passive case-finding ***,the patient delay in the western regions was longer than in the eastern and central *** are the implications for public health practice?The study underscores the imperative of accessible healthcare for the elderly to minimize patient delay in pulmonary tuberculosis diagnosis and treatment.

关键词： tuberculosis diagnosis prompt

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