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Delay-dependent robust H_∞ control for uncertain discrete time-delay fuzzy systems

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Journal of Systems Engineering and Electronics 2009年第2期20卷 354-362页

作者： gong cheng Su Baoku Coll. of Nuclear Science and Technology Harbin Engineering Univ. Harbin 150001 P. R. China Space Control and Inertial Technology Research Center Harbin Inst. of Technology Harbin 150001 P. R. China

The robust H∞ control problem of norm bounded uncertain discrete Takagi-Sugeno （T-S） fuzzy systems with state delay is addressed. First, by constructing an appropriate basis-dependent Lyapunov-Krasovskii function, a new delay-dependent sufficient condition on robust H∞-disturbance attenuation is presented, in which both robust stability and prescribed H∞ performance are guaranteed to be achieved. Then based on the condition, a delay-dependent robust Hoo controller design scheme is developed in term of a convex algorithm. Finally, examples are given to illustrate the effectiveness of the proposed method.

关键词： discrete T-S fuzzy control delay-dependent robust H∞ control basis-dependent Lyapunov-Krasovskii function

Cosmological constraints on ultra-light axion fields

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Research in Astronomy and Astrophysics 2020年第4期20卷 99-106页

作者： Jian-Gang Kang Yan gong gong cheng Xuelei Chen Key Laboratory for Computational Astrophysics National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China Centre for High Energy Physics Peking UniversityBeijing 100871China

Ultra-light axions(ULAs)with mass less than 10-20 eV have interesting behaviors that may contribute to either dark energy or dark matter at different epochs of the *** properties can be explored by cosmological observations,such as expansion history of the Universe,cosmic large-scale structure,cosmic microwave background,*** this work,we study the ULAs with mass around 10-33 eV,which means that the ULA field still rolls slowly at present with the equation of state w=-1 as dark *** investigate the mass and other properties of this kind of ULA field,we adopt the measurements of Type Ia supernova(SN Ia),baryon acoustic oscillation(BAO),and Hubble parameter H(z).The Markov Chain Monte Carlo(MCMC)technique is employed to perform the constraints on the ***,by exploring four cases of the model,we find that the mass of this ULA field is about 3×10-33 eV if assuming the initial axion fieldφi=*** also investigate a general case by assumingφi≤Mpl,and find that the fitting results ofφi/Mpl are consistent with or close to 1 for the datasets that we use.

关键词： cosmology dark energy cosmological parameters

Impact of the microbiome on mosquito-borne diseases

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Protein & Cell 2023年第10期14卷 743-761页

作者： Huicheng Shi Xi Yu gong cheng Tsinghua University-Peking University Joint Center for Life Sciences School of MedicineTsinghua UniversityBeijing 100084China Institute of Infectious Diseases Shenzhen Bay LaboratoryShenzhen 518000China Department of Parasitology School of Basic Medical SciencesCentral South UniversityChangsha 410013China

Mosquito-borne diseases present a significant threat to human health,with the possibility of outbreaks of new mosquito-borne diseases always ***,current measures to combat these diseases such as vaccines and drugs are often either unavailable or ***,recent studies on microbiomes may reveal promising strategies to fight these *** this review,we examine recent advances in our understanding of the effects of both the mosquito and vertebrate microbiomes on mosquito-borne *** argue that the mosquito microbiome can have direct and indirect impacts on the transmission of these diseases,with mosquito symbiotic microorganisms,particularly Wolbachia bacteria,showing potential for controlling mosquito-borne ***,the skin microbiome of vertebrates plays a significant role in mosquito preferences,while the gut microbiome has an impact on the progression of mosquito-borne diseases in *** researchers continue to explore the role of microbiomes in mosquito-borne diseases,we highlight some promising future directions for this ***,a better understanding of the interplay between mosquitoes,their hosts,pathogens,and the microbiomes of mosquitoes and hosts may hold the key to preventing and controlling mosquito-borne diseases.

关键词： microbiome mosquito mosquito-borne viruses malaria pathogen transmission

Task-wise attention guided part complementary learning for few-shot image classification

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Science China(Information Sciences) 2021年第2期64卷 44-57页

作者： gong cheng Ruimin LI Chunbo LANG Junwei HAN Research and Development Institute of Northwestern Polytechnical University in Shenzhen School of Automation Northwestern Polytechnical University CETC Key Laboratory of Aerospace Information Applications

A general framework to tackle the problem of few-shot learning is meta-learning, which aims to train a well-generalized meta-learner(or backbone network) to learn a base-learner for each future task with small training data. Although a lot of work has produced relatively good results, there are still some challenges for few-shot image classification. First, meta-learning is a learning problem over a collection of tasks and the meta-learner is usually shared among all tasks. To achieve image classification of novel classes in different tasks, it is needed to learn a base-learner for each task. Under the circumstances, how to make the base-learner specialized, and thus respond to different inputs in an extremely task-wise manner for different tasks is a big challenge at present. Second, classification network usually inclines to identify local regions from the most discriminative object parts rather than the whole objects for recognition, thereby resulting in incomplete feature representations. To address the first challenge, we propose a task-wise attention(TWA)module to guide the base-learner to extract task-specific image features. To address the second challenge,under the guidance of TWA, we propose a part complementary learning(PCL) module to extract and fuse the features of multiple complementary parts of target objects, and thus we can obtain more specific and complete information. In addition, the proposed TWA module and PCL module can be embedded into a unified network for end-to-end training. Extensive experiments on two commonly-used benchmark datasets and comparison with state-of-the-art methods demonstrate the effectiveness of our proposed method.

关键词： few-shot learning meta-learning task-wise attention part complementary learning

血清脂联素和网膜素-1与冠心病患者发生冠状动脉钙化及其严重程度的关系

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实用心脑肺血管病杂志 2025年第1期33卷 39-43页

作者：任园园程功赵沱西安交通大学附属红会医院心血管内科陕西省西安市710068 长安医院心血管内科陕西省西安市710068

目的探讨血清脂联素和网膜素-1与冠心病患者发生冠状动脉钙化(CAC)及其严重程度的关系。方法选取2022年6月—2023年6月因胸痛或者胸闷就诊于陕西省人民医院心血管内科并经冠状动脉造影(CAG)、冠状动脉血管内超声(IVUS)检查确诊的冠心病... 详细信息

目的探讨血清脂联素和网膜素-1与冠心病患者发生冠状动脉钙化(CAC)及其严重程度的关系。方法选取2022年6月—2023年6月因胸痛或者胸闷就诊于陕西省人民医院心血管内科并经冠状动脉造影(CAG)、冠状动脉血管内超声(IVUS)检查确诊的冠心病患者192例。收集患者的基线资料(包括年龄、性别、BMI、吸烟史、高血压史、高脂血症史、糖尿病史)、实验室检查指标{包括TC、TG、LDL-C、脂蛋白a[Lp(a)]、血尿酸(SUA)、碱性磷酸酶(ALP)、γ-谷氨酰基转移酶(GGT)、血磷、血钙及血清脂联素、网膜素-1}及IVUS检查结果(包括CAC发生情况和冠心病合并CAC患者钙化指数)。根据CAC发生情况,将患者分为钙化组(发生CAC,n=121)和非钙化组(未发生CAC,n=71)。采用多因素Logistic回归分析探讨冠心病患者发生CAC的影响因素。采用Spearman秩相关分析探讨血清脂联素、网膜素-1与冠心病合并CAC患者钙化指数的相关性。结果钙化组年龄大于非钙化组,有高血压史者占比、有糖尿病史者占比高于非钙化组(P0.05)。Spearman秩相关分析结果显示,血清脂联素与冠心病合并CAC患者钙化指数呈负相关(r_(s)=-0.563,P=0.001),血清网膜素-1与冠心病合并CAC患者钙化指数无直线相关关系(r_(s)=-0.030,P=0.743)。结论血清脂联素是冠心病患者发生CAC的影响因素,且其与患者CAC严重程度呈负相关;血清网膜素-1不是冠心病患者发生CAC的影响因素,且其与患者CAC严重程度无直线相关关系。

关键词：冠心病冠状动脉钙化脂联素网膜素-1

Progress towards understanding the pathogenesis of dengue hemorrhagic fever

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Virologica Sinica 2017年第1期32卷 16-22页

作者： Xiaojing Pang Rudian Zhang gong cheng Tsinghua-Peking Center for Life Sciences School of Medicine Tsinghua University Beijing 100084 China School of Life Science Tsinghua University Beijing 100084 China

Dengue virus(DENV) is a mosquito-borne virus belonging to the Flaviviridae family. There are 4 serotypes of DENV that cause human disease through transmission by mosquito vectors. DENV infection results in a broad spectrum of clinical symptoms, ranging from mild fever to dengue hemorrhagic fever(DHF), the latter of which can progress to dengue shock syndrome(DSS) and death. Researchers have made unremitting efforts over the last half-century to understand DHF pathogenesis. DHF is probably caused by multiple factors, such as virus-specific antibodies, viral antigens and host immune responses. This review summarizes the current progress of studies on DHF pathogenesis, which may provide important information for achieving effective control of dengue in the future.

关键词： DENV dengue hemorrhagic fever (DHF) NS1 genome antibody-dependent enhancement (ADE) T cell

Contribution of phylogenetics to understanding the evolution and epidemiology of dengue virus

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Animal Models and Experimental Medicine 2022年第5期5卷 410-417页

作者： Xi Yu gong cheng Tsinghua-Peking Center for Life Sciences School of MedicineTsinghua UniversityBeijingChina Institute of Infectious Diseases Shenzhen Bay LaboratoryShenzhenChina Institute of Pathogenic Organisms Shenzhen Center for Disease Control and PreventionShenzhenChina School of Life Sciences Tsinghua UniversityBeijingChina

Dengue virus(DENV)is one of the most important arboviral pathogens in the tropics and subtropics,and nearly one-third of the world's population is at risk of *** transmission of DENV involves a sylvatic cycle between nonhuman primates(NHP)and Aedes genus mosquitoes,and an endemic cycle between human hosts and predominantly Aedes *** belongs to the genus Flavivirus of the family Flaviviridae and consists of four antigenically distinct serotypes(DENV-1-4).Phylogenetic analyses of DENV have revealed its origin,epidemiology,and the drivers that determine its molecular evolution in *** review discusses how phyloge-netic research has improved our understanding of DENV evolution and how it affects viral ecology and improved our ability to analyze and predict future DENV emergence.

关键词： dengue virus(DENV) evolution flavivirus phylogenetics

Mosquito-borne pathogens hijack human body odors to promote transmission

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Science China(Life Sciences) 2023年第1期66卷 180-182页

作者： Penghua Wang gong cheng Department of Immunology UConn HealthFarmington 06030USA Tsinghua University-Peking University Joint Center for Life Sciences School of MedicineTsinghua UniversityBeijing 100084China

Mosquitoes are one of the world’s deadliest animals,transmitting many diseases including malaria,yellow fever,dengue fever,Zika fever and Chikungunya fever,among *** one million deaths per year are attributed to mosq... 详细信息

关键词： fever diseases attributed

Class attention network for image recognition

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Science China(Information Sciences) 2023年第3期66卷 160-172页

作者： gong cheng Pujian LAI Decheng GAO Junwei HAN School of Automation Northwestern Polytechnical University

Visual attention has become a popular and widely used component for image recognition. Although various attention-based methods have been proposed and achieved relatively competitive results, it is observed that the semantic features of each class are likely to entangle with each other, and few studies focus on explicitly extracting category-aware features so far. To address this issue, this paper presents an attention-based image recognition method by using class-specific dictionary learning to disentangle the neural network's outputs into class-dependent features, thus boosting their discrimination abilities. Specifically,we develop a class attention network(CANet) via integrating a simple yet effective class-specific attention encoding(CAE) module on the top of convolutional layers. Given the feature maps of the convolutional neural networks(CNNs), the CAE module learns a class-specific dictionary, which is leveraged to encode attention maps for each category. Then these attention maps are multiplied by the input features for classwise adaptive feature refinement. Extensive experiments on the PASCAL VOC 2007, PASCAL VOC 2012,MS COCO, and CUB-200-2011 datasets demonstrate the fabulous performance of our method on multiple visual recognition tasks, including multi-label image classification and fine-grained visual classification. In addition, the visualization results testify that CNNs can explicitly learn class-wise feature representations by introducing class-specific dictionary learning.

关键词： visual attention class-specific attention encoding class attention network dictionary learning