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Personalized federated few-shot node classification

science China(Information sciences) 2025年第1期68卷 204-218页

作者： Yunfeng ZHAO Xintong he Guoxian YU Jun WANG Yongqing ZheNG Carlotta DOMENICONI school of software Shandong University Joint sDU-NTU Centre for Artificial Intelligence Research Shandong University Department of Mathematics National University of Singapore Department of Computer science George Mason University

Personalized federated learning(PFl) aims to train customized models for individual clients in a decentralized setting, with the account of non-independent and identically distributed data across clients. However, most PFl methods adopt uniform classification layers for diverse clients and give rise to error-prone predictions, due to the task heterogeneity notably prominent in decentralized graph data scenarios. Although some PFl solutions setup client-specific classification layers for each client and optimize them only locally, they are corrupted with limited local training data. We propose an innovative solution called federated parameter decoupling and node augmentation(Fed PANo) to address these problems and to achieve personalized federated few-shot node classification, which is a prevalent and challenging but unexplored topic. specifically, Fed PANo first separates the local model into the GNN and classifier to handle unique client-specific task variations. The GNN is trained through federated learning to capture shared knowledge of graph nodes across clients, while the classifier is custom-designed and trained individually for each client. Additionally, a generic classifier shared among clients is adopted to encourage the GNN's grasp of shared information. Then Fed PANo further proposes the node generator along with its local and collaborative training strategies to deal with the node scarcity of clients. Extensive experimental results on benchmark datasets confirm that Fed PANo outperforms eight competitive baselines across different settings.

关键词： personalized federated learning few-shot learning node classification task heterogeneity parameter decoupling node augmentation

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Optimal condition analysis of target localization using multi-agents with uncertain positions

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CONTROl TheORY AND TECHNOlOGY 2025年第1期23卷 131-144页

作者： Hou, Yi Hao, Ning he, Fenghua Xie, Chen Yao, Yu Harbin Inst Technol Sch Aerosp Harbin 150001 Heilongjiang Peoples R China

This paper delves into the problem of optimal placement conditions for a group of agents collaboratively localizing a target using range-only or bearing-only measurements. The challenge in this study stems from the uncertainty associated with the positions of the agents, which may experience drift or disturbances during the target localization process. Initially, we derive the Cramer-Rao lower bound (CRlB) of the target position as the primary analytical metric. subsequently, we establish the necessary and sufficient conditions for the optimal placement of agents. Based on these conditions, we analyze the maximal allowable agent position error for an expected mean squared error (MsE), providing valuable guidance for the selection of agent positioning sensors. The analytical findings are further validated through simulation experiments.

关键词： Cramer-Rao lower bound (CRlB) Target localization Uncertain sensor position Multi-agent systems

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stability switches mechanism and PID control in reaction-diffusion network-organized neural systems with transmission delays

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science China(Technological sciences) 2025年第2期68卷 199-215页

作者： Xiangyu DU Min XIAO Wenwu YU Jiajin he College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China College of Mathematics Southeast UniversityNanjing 211189China

Traditionally,the spatiotemporal dynamics of neural networks have been analyzed in the locally continuous *** this modeling approach is straightforward and practical,it fails to encapsulate real-world networks’intricate topological structures and ***,the mechanisms of stability switches induced by time delays and diffusion effects in networkorganized systems are still ***,effective dynamic optimization strategies for network-organized models remain to be *** this study,we develop a delayed reaction-diffusion neural network model on complex *** system incorporates the effects of inter-nodal diffusion coupling and exhibits profound architectural *** then pioneer the proportional-integral-derivative(PID)feedback control into the network-organized model to modulate dynamic *** linear stability analysis is conducted firstly,demonstrating that Turing patterns and Hopf bifurcation can be induced in the controlled neural network by varying diffusion coefficients and time ***,the bifurcation direction is deduced via the center manifold ***,a series of simulations are performed to validate the theoretical analysis and substantiate the efficacy of the PID control *** results exhibit that the PID feedback controller can flexibly regulate the dynamics of the network-organized systems and possesses excellent disturbance rejection capabilities.

关键词： complex network neural networks PID control turing instability hopf bifurcation time delays turing pattern

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Dietary ferulic acid supplementation enhances antioxidant capacity and alleviates hepatocyte pyroptosis in diquat challenged piglets

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Journal of Animal science and Biotechnology 2025年第1期16卷 377-387页

作者： Junqiu luo Xiu Wu Daiwen Chen Bing Yu Jun he Institute of Animal Nutrition Key Laboratory for Animal Disease‑Resistance Nutrition of China Ministry of EducationSichuan Agricultural UniversityChengduSichuan 611130People’s Republic of China

Background Oxidative stress significantly impacts growth performance and liver function in *** acid(FA)works as an antioxidant,however,the role and mechanism of FA in the regulation of diquat-induced oxidative stress in piglets are less *** study was designed to investigate the effects of FA on growth performance and antioxi-dant capacity in piglets with diquat *** Thirty-two healthy DlY(Duroc×landrace×Yorkshire)piglets(13.24±0.19 kg)were randomly divided into one of two diets including 0 or 4 g/kg FA for 14 *** d 15,all pigs were intraperitoneally injected diquat or sterile *** Dietary supplementation with ferulic acid(FA)significantly improved the average daily gain(ADG)and decreased feed-gain ratio(F/G)of ***,dietary FA supplementation reduced serum aspartate aminotrans-ferase(AsT),alanine aminotransferase(AlT)activities in diquat challenged ***,diquat infusion increased reactive oxygen radicals(ROs)level in liver,decreased the activities of total superoxide dismutase(T-sOD)and glutathione peroxidase(GsH-Px),total antioxidant capacity(T-AOC)and increased malondialdehyde(MDA)con-tent in the liver and *** with FA significantly increased T-AOC and T-sOD activities and decreased MDA and ROs *** down-regulated gene and protein expression of Keap1,and up-regulated protein expression of Nrf2 and HO-1 in the liver of piglets with diquat ***,diquat challenge increased the ratio of late apoptosis,increased serum levels of Il-1β,Il-18 and lactate dehydrogenase(lDH),and up-regulated pyroptosis-related genes in the *** supplementation reduced the ratio of late apoptosis and down-regulated mRNA expression of ***,FA addition reduced concentration of Il-1β,Il-18,and lDH under diquat *** Diquat-induced oxidative stress reduced growth performance and impaired liver function in *** FA supplementation enhanced the antiox

关键词： Antioxidant capacity Ferulic acid hepatic pyroptosis Piglets

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EDA-complexes-enabled photochemical synthesis of α-amino acids with imines and tetrabutylammonium oxalate

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Chinese Chemical letters 2025年第1期36卷 1-2页

作者： Min-Hang Zhou Jun Jiang Wei-Min he school of Chemistry and Chemical Engineering University of South ChinaHengyang 421001China

The synthesis ofα-amino acid from imines with different carbonyl sources is attractive for both synthetic organic and medicinal chemistry ***,which were easily available from the corresponding ketones and amines,were employed as one of the most ideal ***,cyanation and subsequent hydrolysis were required to install the carboxyl group^([1]).In these cases,the toxicity of the cyanation reagents limited its further synthetic applications in organic ***,metal activation of imine substrates to make the organometallic intermediate and trap CO_(2) to give the desiredα-amino acid were also developed by many groups(scheme 1A).The utilization of stoiochiometric amounts of metal reagents was required to realize the ***,Yu reported a novel photocatalytic reductive carboxylation protocol for synthesis ofα-amino acid from imines with CO_(2)as the carbonyl source^([2]).

关键词： synthesis carbonyl photochemical

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A novel transient strategy:transient electronics based on energetic materials

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Defence Technology(防务技术) 2025年第2期44卷 111-130页

作者： Yutao Wang Zhongliang Ma Wei he Yongli Zhang Peijin liu school of Environmental and safety Engineering North University of ChinaTaiyuan 030051China school of Aeronautics and Astronautics Sichuan UniversityChengdu 610065China Xi'an North Hui'an Chemical Industry Co.ltd Xi'an 710302China science and Technology on Combustion Internal Flow and Thermostructure LaboratoryNorthwestern Polytechnical UniversityXi'an 710072China

Transient electronics is a versatile tool that finds applications in various fields,including medical biology,environmental protection,and data information *** the context of data protection,the traditional passive degradation transient mode is being replaced by the active destruction mode,which features a short self-destruction time and provides greater resistance to *** article presents an overview of recent progress in transient electronics,assessing the benefits and suitability of varying transient *** article also analyses the influence of transient electronics on military security while emphasizing the advantages of implementing energetic ***,the article introduces energetic transient devices and evaluates their ability to support the autonomous operation of transient electronic devices.

关键词： Transient electronics Energetic materials

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supramolecular Ion Channel with Controlled K+/Na+Transport Behaviors

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Chemical Research in Chinese Universities 2025年第1期41卷 95-100页

作者： he lei lUO Yichen ZHANG Yang YAN Tengfei lIU Junqiu College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material Technology of Ministry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceHangzhou Normal UniversityHangzhou310036P.R.China

Dysfunction of ion channels,often caused by mutations in natural proteins,can lead to various *** artificial analogs have shown great promise to substitute the abnormal ***,we report a supramolecular potassium channel that forms through the self-assembly of pyrene-crown ether conjugated by intermolecularπ-π*** self-assembled dimer of this channel was optimized and calculated to have a binding energy of−27.4 kcal/mol(1 kcal=4.18 kJ).Evidence for the formation of an active ion channel by PC5 was confirmed using a planar lipid bilayer(BlM)workstation,while no such activity was observed for *** K+/Na+selectivity was reversed in the reduced form,R-PC5,due to the elimination of the planar structure of PC5,resulting in R-PC5 functioning as a Na+***,incorporating the pyrene group facilitates imaging in living cells,providing a potentially viable method for investigating the behaviors of artificial ion channels in living systems.

关键词： Crown ether Pyrene Ion transport self-assembly

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line-of-shower trigger method to lower energy threshold for GRB detection using lHAAsO-WCDA

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Radiation Detection Technology and Methods 2021年第4期5卷 531-541页

作者： F.Aharonian Q.An Axikegu l.X.Bai Y.X.Bai Y.W.Bao D.Bastieri X.J.Bi Y.J.Bi H.Cai J.T.Cai Z.Cao Z.Cao J.Chang J.F.Chang X.C.Chan B.M.Chen J.Chen l.Chen l.Chen l.Chen M.J.Chen M.l.Chen Q.H.Chen s.H.Chen s.Z.Chen T.l.Chen X.l.Chen Y.Chen N.Chen Y.D.Chen s.W.Cui X.H.Cui Y.D.Cui B.Z.Dai H.l.Dai Z.G.Dai Danzengluobu D.della Volpe B.D’Ettorre Piazzoli X.J.Don J.H.Fan Y.Z.Fan Z.X.Fan J.Fang K.Fan C.F.Feng l.Feng s.H.Fen Y.l.Feng B.Gao C.D.Gao Q.Gao W.Gao M.M.Ge l.s.Gen G.H.Gong Q.B.Gou M.H.Gu J.G.Guo X.l.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.he H.N.he J.C.he s.l.he X.B.he Y.he M.heller Y.K.Hor C.Hou X.Hou H.B.Hu s.Hu s.C.Hu X.J.Hu D.H.Huang Q.l.Huan W.H.Huang X.T.Huang Z.C.Huang F.Ji X.l.Ji H.Y.Jia K.Jiang Z.J.Jiang C.Jin D.Kuleshov K.levochkin B.B.li C.li C.li F.li H.B.li H.C.li H.Y.li J.li K.li W.l.li X.li X.li X.R.li Y.li Y.Z.li Z.li Z.li E.W.liang Y.F.liang s.J.lin B.liu C.liu D.liu H.liu H.D.liu J.liu J.l.liu J.s.liu J.Y.liu M.Y.liu R.Y.liu s.M.liu W.liu Y.N.liu Z.X.liu W.J.long R.lu H.K.lv B.Q.Ma l.l.Ma X.H.Ma J.R.Mao A.Masood W.Mitthumsiri T.Montaruli Y.C.Nan B.Y.Pang P.Pattarakijwanich Z.Y.Pei M.Y.Qi D.Ruffolo V.Rulev A.sáiz l.shao O.shchegolev X.D.shen J.R.shi H.C.song Yu.V.stenkin V.stepanov Q.N.sun X.N.sun Z.B.sun P.H.T.Tam Z.B.Tang W.W.Tian B.D.Wan C.Wang H.Wang H.G.Wang J.C.Wang J.s.Wang l.P.Wang l.Y.Wan R.N.Wang W.Wang W.Wang X.G.Wang X.J.Wan X.Y.Wang Y.D.Wan Y.J.Wan Y.P.Wang Z.Wang Z.Wang Z.H.Wang Z.X.Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu s.Wu W.X.Wu X.F.Wu s.Q.Xi J.Xia J.J.Xia G.M.Xiang G.Xiao H.B.Xiao G.G.Xin Y.l.Xin Y.Xing D.l.Xu R.X.Xu l.Xue D.H.Yan C.W.Yang F.F.Yang J.Y.Yang l.l.Yang M.J.Yan R.Z.Yang s.B.Yang Y.H.Yao Z.G.Yao Y.M.Ye l.Q.Yin N.Yin X.H.You Z.Y.You Y.H.Yu Q.Yuan H.D.Zeng T.X.Zeng W.Zeng Z.K.Zeng M.Zha X.X.Zhai B.B.Zhang H.M.Zhang H.Y.Zhang J.l.Zhang J.W.Zhang l.Zhang l.Zhang l.X.Zhang P.F.Zhang P.P.Zhang R.Zhang s.R.Zhang s.s.Zhan X.Zhang X.P.Zhan Y.Zhan Y.Zhang Y.F.Zhang Y.l.Zhan B.Zhao J.Zhao l.Zhao l.Z.Zhao s.P.Zhao F.Zheng Y.Zheng B.Zhou H.Zhou J.N.Zhou P.Zhou R.Zhou X.X.Zhou C.G. Key laboratory of Particle Astrophysics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina state Key laboratory of Particle Detection and Electronics BeijingChina University of science and Technology of China Hefei 230026AnhuiChina Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National space science Center Chinese Academy of SciencesBeijing 100190China school of Physics Peking UniversityBeijing 100871China Center for Astrophysics Guangzhou UniversityGuangzhou 510006GuangdongChina school of Physics and Astronomy&school of Physics(Guangzhou) Sun Yat-sen UniversityZhuhai 519000GuangdongChina school of Physical science and Technology Guangxi UniversityNanning 530004GuangxiChina hebei Normal University Shijiazhuang 050024HebeiChina school of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001HenanChina school of Astronomy and space science Nanjing UniversityNanjing 210023JiangsuChina Key laboratory of Dark Matter and space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023JiangsuChina Institute of Frontier and Interdisciplinary science Shandong UniversityQingdao 266237ShandongChina Key laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Tsung-Dao lee Institute&school of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China school of Physical science and Technology&school of Information science and Technology Southwest Jiaotong UniversityChengdu 610031SichuanChina College of Physics Sichuan UniversityChengdu 610065SichuanChina Key laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina school of Physic

Purpose Observation of high energy and very high emission from Gamma Ray Bursts(GRBs)is crucial to study the gigantic explosion and the underline *** a large field-of-view and almost full duty cycle,the Water Cherenkov Detector Array(WCDA),a sub-array of the large High Altitude Air shower Observatory(lHAAsO),is appropriate to monitor the very high energy emission from unpredictable transients such as *** Nevertheless,the main issue for an extensive air shower array is the high energy threshold which limits the horizon of the *** address this issue a new trigger method is developed in this article to lower the energy threshold of WCDA for GRB *** The proposed method significantly improves the detection efficiency of WCDA for gamma-rays around the GRB direction at 10-300 *** sensitivity of the WCDA for GRB detection with the new trigger method is *** achieved sensitivity of the quarter WCDA array above 10 GeV is comparable with that of *** data analysis process and corresponding fluence upper limit for GRB 190719C is presented as an example.

关键词： lHAAsO WCDA GRB

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Toward long-life Zn anode using highly polar electrolyte additives

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Journal of Energy Chemistry 2025年第2期101卷 651-660页

作者： Nengbin Cai Hongming Chen Busheng Zhang Zijing liu Xinbo he Dan Zhou Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing shunde Innovation school University of Science and Technology Beijing school of Textile science and Engineering Wuyi University

Unstable Zn interface caused by rampant dendrite growth and parasitic side reactions always hinders the practical application of aqueous zinc metal batteries（AZMBs）,herein,tyrosine（Tyr） with high molecular polarity was introduced into aqueous electrolyte to modulate the interfacial electrochemistry of Zn *** AZMBs,the positively charged side of Tyr can be well adsorbed on the surface of Zn anode to form a water-poor layer,and the exposed carboxylate side can be easily coordinated with Zn2+,favoring inducing uniform plating of Zn2+and inhibiting the occurrence of water-induced side *** in turn enable the achievement of highly stable Zn ***,the Zn anodes achieve outstanding cyclic stability(3000 h at 2 mA cm-2,2 mA h cm-2and 1300 h at 5 mA cm-2,5 mA h cm-2),high average Coulombic efficiency（99.4% over 3200 cycles）,and high depth of discharge（80% for 500 h）.Besides,the assembled Zn‖NaV3O8·1.5H2O full cells deliver remarkable capacity retention and ultra-long lifetime(61.8% over 6650 cycles at 5 A g-1) and enhanced rate capability(169 mA h g-1at 5 A g-1).The work may promote the design and deep understanding of electrolyte additives with high molecular polarity for high-performance AZMBs.

关键词： AZMBs Electrolyte additives Highly stable Zn anode Interfacial electrochemistry Tyr

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The detection,extraction and parameter estimation of extreme-mass-ratio inspirals with deep learning

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science China(Physics,Mechanics & Astronomy) 2025年第1期68卷 82-92页

作者： Qianyun Yun Wen-Biao Han Yi-Yang Guo he Wang Minghui Du Hangzhou Institute for Advanced study University of Chinese Academy of SciencesHangzhou 310124China shanghai Astronomical Observatory Chinese Academy of SciencesShanghai 200030China school of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China school of Astronomy and space science University of Chinese Academy of SciencesBeijing 100049China Taiji laboratory for Gravitational Wave Universe(Beijing/Hangzhou) University of Chinese Academy of SciencesBeijing 100049China lanzhou Center for Theoretical Physics Key Laboratory of Theoretical Physics of Gansu ProvinceKey Laboratory of Quantum Theory and Applications of MoELanzhou UniversityLanzhou 730000China Institute of Theoretical Physics&Research Center of Gravitation Lanzhou UniversityLanzhou 730000China International Centre for Theoretical Physics Asia-Pacific(ICTP-AP) University of Chinese Academy of Sciences(UCAS)Beijing 100049China Center for Gravitational Wave Experiment National Microgravity LaboratoryInstitute of MechanicsChinese Academy of SciencesBeijing 100190China

One of the primary goals of space-borne gravitational wave detectors is to detect and analyze extreme-mass-ratio inspirals(EM-RIs).This task is particularly challenging because EMRI signals are complex,lengthy,and *** this work,we introduce a 2-layer convolutional neural network(CNN)approach to detect EMRI signals for space-borne detectors,achieving a true positive rate(TPR)of 96.9%at a 1%false positive rate(FPR)for signal-to-noise ratio(sNR)from 50 to ***,the key intrinsic parameters of EMRIs such as the mass,spin of the supermassive black hole(sMBH)and the initial eccentricity of the orbit can also be inferred directly by employing a neural *** mass and spin of the sMBH can be determined at 99%and 92%*** will greatly reduce the parameter spaces and computing cost for the following Bayesian parameter *** model also has a low dependency on the accuracy of the waveform *** study underscores the potential of deep learning methods in EMRI data analysis,enabling the rapid detection of EMRI signals and efficient parameter estimation.

关键词： gravitational wave EMRIs deep-learing

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