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Application of artificial synapse based on all-inorganic perovskite memristor in neuromorphic computing

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Nano Materials Science 2024年第1期6卷 68-76页

作者： Fang luo Wen-Min Zhong xin-Gui Tang Jia-Ying Chen yan-Ping Jiang Qiu-Xiang Liu School of Physics&Optoelectric Engineering Guangdong University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou510006China

Artificial synapse inspired by the biological brain has great potential in the field of neuromorphic computing and artificial *** memristor is an ideal artificial synaptic device with fast operation and good ***,we have prepared a memristor device with Au/CsPbBr_(3)/ITO *** memristor device exhibits resistance switching behavior,the high and low resistance states no obvious decline after 400 switching *** memristor device is stimulated by voltage pulses to simulate biological synaptic plasticity,such as long-term potentiation,long-term depression,pair-pulse facilitation,short-term depression,and short-term *** transformation from short-term memory to long-term memory is achieved by changing the stimulation *** addition,a convolutional neural network was constructed to train/recognize MNIST handwritten data sets;a distinguished recognition accuracy of~96.7%on the digital image was obtained in 100 epochs,which is more accurate than other memristor-based neural *** results show that the memristor device based on CsPbBr3 has immense potential in the neuromorphic computing system.

关键词： Memristor CsPbBr_(3) Resistive switching Artificial synapse Neuromorphic computing

Long-term Evolution of Solar Activity and Prediction of the Following Solar Cycles

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Research in Astronomy and Astrophysics 2024年第3期24卷 194-204页

作者： Pei-xin luo Bao-Lin Tan National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China

Solar activities have a great impact on modern high-tech systems,such as human aerospace activities,satellite communication and navigation,deep space exploration,and related scientific ***,studying the long-term evolution trend of solar activity and accurately predicting the future solar cycles are highly *** on the wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number(ASN)series of 323 yr to date,this work decisively verifies the existence of the solar century cycles and confirms that its length is about 104.0 yr,and the magnitude has a slightly increasing trend on the timescale of several hundred *** on this long-term evolutionary trend,we predict solar cycles 25 and26 by using phase similar prediction *** for solar cycle 25,its maximum ASN will be about146.7±33.40,obviously stronger than solar cycle *** peak year will occur approximately in 2024,and the period will be about 11±1 *** for solar cycle 26,it will start around 2030,and reach its maximum between2035 and 2036,with maximum ASN of about 133.0±3.200,and period of about 10 yr.

关键词： Sun activity-Sun evolution-(Sun) sunspots-methods data analysis

Generalized Embedding Machines for Recommender Systems

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Machine Intelligence Research 2024年第3期21卷 571-584页

作者： Enneng yang xin xin Li Shen Yudong luo Guibing Guo Software College Northeastern UniversityShenyang110000China School of Computer Science and Technology Shandong UniversityQingdao266000China JD Explore Academy JD Explore AcademyBeijing100000China

Factorization machine (FM) is an effective model for feature-based recommendation that utilizes inner products to capture second-order feature interactions. However, one of the major drawbacks of FM is that it cannot capture complex high-order interaction signals. A common solution is to change the interaction function, such as stacking deep neural networks on the top level of FM. In this work, we propose an alternative approach to model high-order interaction signals at the embedding level, namely generalized embedding machine (GEM). The embedding used in GEM encodes not only the information from the feature itself but also the information from other correlated features. Under such a situation, the embedding becomes high-order. Then we can incorporate GEM with FM and even its advanced variants to perform feature interactions. More specifically, in this paper, we utilize graph convolution networks (GCN) to generate high-order embeddings. We integrate GEM with several FM-based models and conduct extensive experiments on two real-world datasets. The results demonstrate significant improvement of GEM over the corresponding baselines.

关键词： Feature interactions high-order interaction factorization machine(FM) recommender system graph neural network(GNN)

Homoclinic Solutions for a Class of Perturbed Fractional Hamiltonian Systems with Subquadratic Conditions

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Acta Mathematica Sinica,English Series 2024年第5期40卷 1177-1196页

作者： Ying luo Fei GUO yan LIU School of Mathematics Tianjin UniversityTianjin 300354P.R.China Tianjin Key Laboratory of Brain-Inspired Intelligence Technology Tianjin300354P.R.China

In this paper,we consider the following perturbed fractional Hamiltonian systems{tD_(∞)^(α)(_(-∞)D_(t)^(α)u(t))+L(t)u(t)=■_(u)W(t,u(t))+■(u)G(t,u(t)),t∈R,u∈H^(α)(R,R^(N)),whereα∈(1/2,1],L∈C(R,R^(N×N))is symmetric and not necessarily required to be positive definite,W∈C1(R×R^(N,R))is locally subquadratic and locally even near the origin,and perturbed term G∈C1(R×R^(N,R))maybe has no parity in *** the perturbed method improved by the authors,a sequence of nontrivial homo clinic solutions is obtained,which generalizes previous results.

关键词： Perturbed fractional Hamiltonian systems subquadratic condition perturbed method homoclinic solutions multiplicity

Progress in the Management of Patients with Cholestatic Liver Disease:Where Are We and Where Are We Going?

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Journal of Clinical and Translational Hepatology 2024年第6期12卷 581-588页

作者： xin luo Lun-Gen Lu Department of Gastroenterology Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina

Cholestatic liver disease is a group of diseases in which bile acid accumulates in the liver for various reasons,resulting in abnormal liver biochemical indicators and histological *** can be divided into intrahepatic cholestasis and extrahepatic cholestasis,which will contribute to liver damage and progress to liver fibrosis and *** biliary cholangitis(PBC)and primary sclerosing cholangitis are the two most typical cholestatic liver *** acid is currently the first-line treatment for PBC,while obeticholic acid,budesonide and fibrates have also shown good potential in the treatment of *** are currently no official drugs approved to treat primary sclerosing cholangitis,and the use of ursodeoxycholic acid may have certain clinical *** present,progress has been made in new treatment directions for cholestatic liver disease,including fibroblast growth factor 19,cholestyramine,S-adenosyl-L-methionine,steroid drugs,farnesoid X receptor agonists,and *** progress has been made in the management of cholestatic liver disease but there are still many opportunities and *** this review,we summarized the recommended guidelines for the management of cholestatic disease and the progress of new drug research and development,in order to provide an important reference for the clinical practice of cholestatic liver disease.

关键词： Cholestatic liver disease Management Ursodeoxycholic acid Primary biliary Cholangitis Primary sclerosing cholangitis Ursodeoxycholic acid Obeticholic acid

A Distributed Adaptive Second-Order Latent Factor Analysis Model

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IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2343-2345页

作者： Jialiang Wang Weiling Li xin luo the School of Computer Science and Technology Dongguan University of Technology the College of Computer and Information Science Southwest University

Dear Editor,This letter presents a distributed adaptive second-order latent factor(DAS) model for addressing the issue of high-dimensional and incomplete data representation. Compared with first-order optimizers, a second-order optimizer has stronger ability in approaching a better solution when dealing with the non-convex optimization problems, thus obtaining better performance in extracting the latent factors(LFs) well representing the known information from high-dimensional and incomplete data.

关键词： Particle swarm optimization (PSO)

Strong Antiferromagnetic Exchange-Coupling Observed in Hydride-Bridged Dimeric Dysprosium(Ⅲ)Single-Molecule Magnet

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Chinese Journal of Chemistry 2024年第4期42卷 391-396页

作者： Qian-Cheng luo Ke-xin Yu Peng-Bo Jin Ye-Ye Liu Yuan-Qi Zhai yan-Zhen Zheng Frontier Institute of Science and Technology State Key Laboratory of Electrical Insulation and Power EquipmentXi'an Key Laboratory of Electronic Devices and Materials ChemistrySchool of Chemistry and School of PhysicsXi'an Jiaotong University99 Yanxiang RoadXi'anShaanxi710054 China

One dihydride-bridged dimeric Dy(Ⅲ)guanidinate complex,formulated as[{(Me_(3)Si)_(2)NC(NiPr)_(2)}_(2)Dy(μ-H)]_(2)(1Dy),was successfully isolated and the introduction of hydride bridges significantly reduces the intramolecular Dy(Ⅲ)…Dy(Ⅲ)distance to only 3.688(1)Å.To investigate the effect of such a short Dy(Ⅲ)…Dy(Ⅲ)distance on magnetism,we also prepared its dibromide-bridged analogue[{(Me_(3)Si)_(2)NC(NiPr)_(2)}_(2)Dy(μ-Br)]_(2)(2Dy),which has a much longer Dy(Ⅲ)…Dy(Ⅲ)distance of 4.605(4)Å.Surprisingly,2Dy demonstrates much larger effective energy barrier for magnetization reversal(U_(eff))and higher blocking temperature(T_(B)).The worse performance of 1Dy is attributed to the concerted effect of strong antiferromagnetic interactions between Dy(Ⅲ)ions(J_(total)=–2.683 cm^(–1))and the unparallel arrangement of magnetic principle axes of the Dy(Ⅲ)ions for 1Dy.

关键词： Single-molecule magnets Lanthanides Guanidinate ligand Hydride bridge Magnetic properties Ab initio calculations

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马克思主义对中国国民性的影响及未来引领

山西大学学报(哲学社会科学版) 2011年第3期34卷 105-109页

作者：雒新艳南京大学哲学系河海大学哲学系

马克思主义超越文化视角把国民性看作社会的、历史的范畴。遵循此观点,文章考证了马克思主义进入中国后国民性演变的三个阶段,即"五四"前后到新中国成立初期,"文化大革命"时期和改革开放以后。由此文章得出这样的结论:中国国民性在马克... 详细信息

马克思主义超越文化视角把国民性看作社会的、历史的范畴。遵循此观点,文章考证了马克思主义进入中国后国民性演变的三个阶段,即"五四"前后到新中国成立初期,"文化大革命"时期和改革开放以后。由此文章得出这样的结论:中国国民性在马克思主义影响下逐渐从消沉茫然变得团结奋进,然后跌入盲目崇拜和无政府主义泛滥泥潭,然而在"实事求是"思想路线引领下,国民精神重新走向积极进取,最终由单一走向多元且日益功利虚无的行进路线。文章提出了发挥马克思主义引领中国国民性未来发展的基本原则,并逻辑地预见了中国国民性未来发展的基本趋势。

关键词：中国国民性马克思主义阶段消沉多元引领

A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 487-501页

作者： Nianyin Zeng xinyu Li Peishu Wu Han Li xin luo Department of Instrumental and Electrical Engineering Xiamen UniversityXiamen 361005China IEEE College of Computer and Information Science Southwest UniversityChongqing 400715China

Unmanned aerial vehicles(UAVs) have gained significant attention in practical applications, especially the low-altitude aerial(LAA) object detection imposes stringent requirements on recognition accuracy and computational resources. In this paper, the LAA images-oriented tensor decomposition and knowledge distillation-based network(TDKD-Net) is proposed,where the TT-format TD(tensor decomposition) and equalweighted response-based KD(knowledge distillation) methods are designed to minimize redundant parameters while ensuring comparable performance. Moreover, some robust network structures are developed, including the small object detection head and the dual-domain attention mechanism, which enable the model to leverage the learned knowledge from small-scale targets and selectively focus on salient features. Considering the imbalance of bounding box regression samples and the inaccuracy of regression geometric factors, the focal and efficient IoU(intersection of union) loss with optimal transport assignment(F-EIoU-OTA)mechanism is proposed to improve the detection accuracy. The proposed TDKD-Net is comprehensively evaluated through extensive experiments, and the results have demonstrated the effectiveness and superiority of the developed methods in comparison to other advanced detection algorithms, which also present high generalization and strong robustness. As a resource-efficient precise network, the complex detection of small and occluded LAA objects is also well addressed by TDKD-Net, which provides useful insights on handling imbalanced issues and realizing domain adaptation.

关键词： Attention mechanism knowledge distillation(KD) object detection tensor decomposition(TD) unmanned aerial vehicles(UAVs)