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Journal of Systems Science & Complexity 2023年第3期36卷 909-921页

作者： su hang CHENG Bin LI Zhongkui State Key Laboratory for Turbulence and Complex Systems and Department of Mechanics and Engineering Science College of EngineeringPeking UniversityBeijing 100871China Department of Control Science and Engineering College of Electronics and Information EngineeringTongji UniversityShanghai 201804China Frontiers Science Center for Intelligent Autonomous Systems Shanghai 201210China

This paper investigates the cooperative output regulation problem of heterogeneous linear multi-agent systems over directed graphs with the constraint of communication *** that there exists an exosystem whose state information is not available to all agents,the authors develop distributed adaptive event-triggered observers for the followers based on relative information between neighboring *** should be pointed out that,two kinds of time-varying gains are introduced to avoid relying on any global information associated with the network,and dynamic triggering conditions are designed to get rid of continuous *** the basis of the designed observers,the authors devise a local controller for each *** with the existing related works,the main contribution of the current paper is that the cooperative output regulation problem for general directed graphs is solved requiring neither global information nor continuous communications.

关键词： Adaptive control consensus cooperative output regulation directed graph event-triggered control multi-agent systems

Toward the third generation artificial intelligence

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Science China(Information Sciences) 2023年第2期66卷 5-23页

作者： Bo Zhang Jun ZHU hang su Institute for Artificial Intelligence Tsinghua University

There have been two competing paradigms in artificial intelligence(AI) development ever since its birth in 1956, i.e., symbolism and connectionism(or sub-symbolism). While symbolism dominated AI research by the end of 1980s, connectionism gained momentum in the 1990s and is gradually displacing symbolism. This paper considers symbolism as the first generation of AI and connectionism as the second generation. However, each of these two paradigms simulates the human mind from only one *** cannot achieve true human behaviors by relying on only one paradigm. In order to develop novel AI technologies that are safe, reliable, and extensible, it is necessary to establish a new explainable and robust AI theory. To this end, this paper looks toward developing a third generation artificial intelligence by combining the current paradigms.

关键词： artificial intelligence symbolism connectionism dual-space model single-space model triple-space model

Adaptive multi-channel Bayesian graph attention network for IoT transaction security

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Digital Communications and Networks 2024年第3期10卷 631-644页

作者： Zhaowei Liu Dong Yang Shenqiang Wang hang su School of Computer and Control Engineering Yantai UniversityYantai264005China Department of Electronics Information and BioengineeringPolitecnico di MilanoMilan20133Italy

With the rapid advancement of 5G technology,the Internet of Things(IoT)has entered a new phase of appli-cations and is rapidly becoming a significant force in promoting economic *** to the vast amounts of data created by numerous 5G IoT devices,the Ethereum platform has become a tool for the storage and sharing of IoT device data,thanks to its open and tamper-resistant ***,Ethereum account security is necessary for the Internet of Things to grow quickly and improve people's *** modeling Ethereum trans-action records as a transaction network,the account types are well identified by the Ethereum account classifi-cation system established based on Graph Neural Networks(GNNs).This work first investigates the Ethereum transaction ***,experimental metrics reveal that the Ethereum transaction network is neither optimal nor even satisfactory in terms of accurately representing transactions per *** flaw may significantly impede the classification capability of GNNs,which is mostly governed by their *** work proposes an Adaptive Multi-channel Bayesian Graph Attention Network(AMBGAT)for Ethereum account clas-sification to address this *** uses attention to enhance node features,estimate graph topology that conforms to the ground truth,and efficiently extract node features pertinent to downstream *** extensive experiment with actual Ethereum transaction data demonstrates that AMBGAT obtains competitive performance in the classification of Ethereum accounts while accurately estimating the graph topology.

关键词： Internet of things Graph representation learning Node classification Security mechanism

Gut Bacterial and Lactobacilli Communities of Weaning Piglets in Response to Mannan Oligosaccharide and sugar Beet Pulp In vitro Fermentation

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Journal of Integrative Agriculture 2012年第1期11卷 122-133页

作者： hang su-qin ZHU Wei-yun Laboratory of Gastrointestinal Microbiology Nanjing Agricultural UniversityNanjing 210095P.R.China

Microbiota in the gastrointestinal tract （GIT） of piglets during weaning transition can experience a sharp change which could result in growth reduction and diarrhea of weaned piglets. Dietary manipulations can play an important role in attenuating such changes caused by weaning stress. Therefore, ileal and colonic contents of weaned piglets were used as inocula, mannan oligosaccharide （MOS） or sugar beet pulp （SBP） was supplied as single energy sources to investigate effects of MOS or SBP on the shifts of gastro-intestinal microflora and lactobacilli populations. The universal bacteria- and lactobacilli-specific PCR/denaturing gradient gel electrophoresis （DGGE）, cloning and sequencing techniques were used. DGGE profiles of the universal bacteria showed that great changes were found in the position, numbers and intensity of dominant bands after fermentation. The similarity of bacterial community between ileum and colon was increased to 85-97% by MOS or SBP treatment after fermentation from the similarity with 20% before fermentation. MOS treatment significantly increased the bacterial diversity and band number in both ileal and colonic fermentation （P〈0.05）. SBP treatment significantly increased the bacterial diversity and band number in colon （P〈0.05）. It implies that some species were enriched by the addition of MOS or SBP to increase the similarity and diversity of bacterial community in weaned piglets. Five specific bands appearing in MOS or SBP treatment group after fermentation were cloned and sequenced, the changes of species related to Prevotella and Ruminococcus were observed. Two bands related to uncultured bacterium with 98% similarity were detected by MOS or SBP treatment. However, there were no effects on the similarity, diversity index and lactobacilli species revealed by MOS or SBP treatment. These results imply that MOS or SBP could have beneficial effects on the weaning piglets by stablizing microbiota in the GIT microflora.

关键词： mannan oligosaccharide (MOS) sugar beet pulp (SBP) bacterial communities lactobacilli weaning piglets

Factors Affecting Terminal Solid Solubility in Alloy Systems

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Journal of Materials Science & Technology 1998年第3期14卷 277-280页

作者： Guo, Jingkang su, hang Li, Chonghe Chen, Nianyi Chinese Acad Sci Shanghai Inst Met Shanghai 200050 Peoples R China

Pattern recognition method was applied to investigate the factors affecting the terminal solid solubility in binary alloy systems. It has been found that the atomic volume, the valence electron number and the melting point of the solute elements exhibit good correlation with the terminal solid solubility. (Edited author abstract) 7 Refs.

关键词： Binary alloys

Calculation of Thermodynamic Properties from Two-liquid Coexisting Phase Diagram of Al-In System by Means of NRTL Equation

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Journal of Materials Science & Technology 1999年第1期15卷 35-38页

作者： Zhang, Zhaochun Chen, Nianyi Peng, Ruiwu su, hang Chinese Acad Sci Shanghai Inst Met Shanghai 200050 Peoples R China

The non-random two-liquid (NRTL) equation approach has been used for calculating the activity coefficient and excess Gibbs free energy of the binary alloy system involving two-liquid coexisting phases. The parameters needed for the calculation are the differences of interaction energies (g//1//2-g//2//2), (g//2//1-g//1//1) and non-randomness constant alpha , which are determined by solving NRTL equation with the aid of genetic algorithm. The calculation was carried out numerically for Al-In system. The agreement between the calculated and experimentally determined values of activity coefficient and excess Gibbs free energy is rather good, indicating the validity of the NRTL equation for the description of two-liquid coexisting phase alloy systems. (Edited author abstract) 11 Refs.

关键词： Aluminum alloys

Ni segregation and thermal stability of reversed austenite in a Fe–Ni alloy processed by QLT heat treatment

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Rare Metals 2015年第11期34卷 776-782页

作者： Tao Pan Jing Zhu hang su Cai-Fu Yang Division of Structural Materials Central Iron and Steel Research Institute School of Materials Science and Engineering Tsinghua University

High-resolution transmission electron microscopy(HRTEM) and X-ray diffraction(XRD) were used to investigate Ni segregation and thermal stability of reversed austenite(RA) in a Fe–Ni alloy processed by quench–lamellarize–temper(QLT) heat treatment. The results show that the 77 K impact energy of the alloy increases with RA content increasing. As an austenite-stabilizing element, Ni is found to segregate in RA, though Ni is not evenly distributed within RA. The amount of segregations increases near the boundary(twice as high as the balanced content)and decreases to some extent in the center of the RA regions. Ni concentration in matrix near the boundary is lower than that in matrix far from the boundary because of Ni atom transportation from a to c near the boundary. RA in this alloy has high heat and mechanical stability but is likely to lose its stability and transform to martensite when a mechanical load is applied at ultralow temperatures(77 K), which induces plasticity.

关键词： Reversed austenite Quench–lamellarize–temper Compo

Defect-engineered two-dimensional transition metal dichalcogenides towards electrocatalytic hydrogen evolution reaction

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Carbon Energy 2023年第6期5卷 21-44页

作者： hang su Xiaodong Pan suqin Li Hao Zhang Ruqiang Zou School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijingChina Beijing Key Laboratory of Theory and Technology of Advanced Battery Material School of Materials Science and EngineeringPeking UniversityBeijingChina

Recently,two-dimensional transition metal dichalcogenides(TMDs)demonstrated their great potential as cost-effective catalysts in hydrogen evolution ***,we systematically summarize the existing defect engineering strategies,including intrinsic defects(atomic vacancy and active edges)and extrinsic defects(metal doping,nonmetal doping,and hybrid doping),which have been utilized to obtain advanced TMD-based *** on theoretical simulations and experimental results,the electronic structure,intermediate adsorption/desorption energies and possible catalytic mechanisms are thoroughly *** emphasis is given to the intrinsic relationship between various types of defects and electrocatalytic ***,current opportunities and challenges for mechanical investigations and applications of defective TMD-based catalysts are *** aim herein is to reveal the respective properties of various defective TMD catalysts and provide valuable insights for fabricating high-efficiency TMD-based electrocatalysts.

关键词： defect engineering electrocatalysts hydrogen evolution reaction(HER) transition metal dichalcogenides

Prior austenite grain boundary recognition in martensite microstructure based on deep learning

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Journal of Iron and Steel Research International 2023年第5期30卷 1050-1056页

作者： Xuan-dong Wang Nan Li hang su Hui-min Meng Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China Department of Structural Steel Central Iron and Steel Research Institute Co.Ltd.Beijing 100081China Material Digital R&D Center China Iron&Steel Research Institute Group Co.Ltd.Beijing 100081China Central Laboratory Central Iron and Steel Research Institute Co.Ltd.Beijing 100081China

Grain size determination is essential in producing and testing iron and steel *** size determination of martensitic steels usually requires etching with picric acid to reveal the prior austenite grain ***,picric acid is toxic and explosive and belongs to hazardous chemicals,which makes it difficult for laboratories and testing institutions to obtain.A new experimental method was developed to use Nital etchant instead of picric *** deep learning method was used to recognize the prior austenite grain boundaries in the etched martensite microstructure,and the grain size could be determined according to the recognition ***,the polished martensite specimen was etched twice with Nital etchant and picric acid,respectively,and the same position was observed using an optical *** images of the martensitic structure and its prior austenite grain boundary label were obtained,and a data set was ***,based on this data set,a convolutional neural network model with a semantic segmentation function was trained,and the accuracy rate of the test set was 87.53%.Finally,according to the recognition results of the model,the grain size rating can be automatically determined or provide a reference for experimenters,and the difference between the automatic determination results and the measured results is about 0.5 level.

关键词： Prior austenite grain boundary Microstructure etching Image recognition Deep learning

Proton magnetic resonance spectroscopy in substance use disorder: recent advances and future clinical applications

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Science China(Information Sciences) 2020年第7期63卷 5-18页

作者： Tianzhen CHEN Haoye TAN Huiting LEI hang su Min ZHAO Shanghai Mental Health Center School of Medicine Shanghai Jiao Tong University Shanghai Key Laboratory of Psychotic Disorders Institute of Psychological and Behavioral Science Shanghai Jiao Tong University CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT) Chinese Academy of Sciences

Proton magnetic resonance spectroscopy(1H-MRS) now is widely used in clinical researches for the measurement of compounds or metabolites in vivo, especially in neuropsychiatric diseases/***, there are many studies on substance use disorders utilizing 1H-MRS to explore the mechanism of brain metabolites. It is found that metabolites levels in substance users are changed compared with healthy controls. Furthermore, these changes also relate to behavior indices, and provide evidence for the impact on neuronal health, energy metabolism and membrane turnover. However, 1H-MRS is not yet a mature detection technology, and it still has many challenges in the application of the neuropsychiatric disorder area. The settings of test parameters and the inconsistency of results across different studies still plague the clinicians and technicians. This article is intended to provide an overview of basic theory and methods of 1H-MRS, and the literature reporting metabolites alterations in substance dependence, as well as the related neuropsychological performance. At last, we will discuss the forthcoming challenges and possible future direction in this area.

关键词： proton magnetic resonance spectroscopy substance use disorders brain imaging neurometabolites