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XRL-SHAP-Cache:an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks

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Science China(Information Sciences) 2024年第7期67卷 46-71页

作者： Xiaolong xu Fan WU Muhammad BILAL Xiaoyu XIA Wanchun DOU Lina yAO Weiyi ZHONG School of Software Nanjing University of Information Science and Technology School of Computing and Communications Lancaster University School of Computing Technologies Royal Melbourne Institute of Technology State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering University of New South Wales Data 61 Commonwealth Scientific and Industrial Research Organization School of Computer Science Qufu Normal University

Content delivery networks(CDNs) play a pivotal role in the modern internet infrastructure by enabling efficient content delivery across diverse geographical regions. As an essential component of CDNs, the edge caching scheme directly influences the user experience by determining the caching and eviction of content on edge servers. With the emergence of 5G technology, traditional caching schemes have faced challenges in adapting to increasingly complex and dynamic network environments. Consequently, deep reinforcement learning(DRL) offers a promising solution for intelligent zero-touch network governance. However, the blackbox nature of DRL models poses challenges in understanding and making trusting decisions. In this paper,we propose an explainable reinforcement learning(XRL)-based intelligent edge service caching approach,namely XRL-SHAP-Cache, which combines DRL with an explainable artificial intelligence(XAI) technique for cache management in CDNs. Instead of focusing solely on achieving performance gains, this study introduces a novel paradigm for providing interpretable caching strategies, thereby establishing a foundation for future transparent and trustworthy edge caching solutions. Specifically, a multi-level cache scheduling framework for CDNs was formulated theoretically, with the D3qN-based caching scheme serving as the targeted interpretable model. Subsequently, by integrating Deep-SHAP into our framework, the contribution of each state input feature to the agent's q-value output was calculated, thereby providing valuable insights into the decision-making process. The proposed XRL-SHAP-Cache approach was evaluated through extensive experiments to demonstrate the behavior of the scheduling agent in the face of different environmental *** results demonstrate its strong explainability under various real-life scenarios while maintaining superior performance compared to traditional caching schemes in terms of cache hit ratio, quality of service(qoS),a

关键词： deep reinforcement learning (DRL) explainable artificial intelligence (XAI) multi-level cache content delivery network (CDN) D3qN algorithm Deep-SHAP

yolk-shell FeCu/NC electrocatalyst boosting high-performance zinc-air battery

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Nano Research 2024年第9期17卷 7918-7925页

作者： Chen Liang Tianyu Zhang Shilun Sun Aijuan Han Zenghui qiu Haijun xu Junfeng Liu State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing 100029China College of Mathematics&Physics Beijing University of Chemical TechnologyBeijing 100029China Beijing Bioprocess Key Laboratory Beijing University of Chemical TechnologyBeijing 100029China

Iron-nitrogen-carbon single-atom catalysts(Fe-N-C SACs)are widely acknowledged for their effective oxygen reduction activity,however,their activity requires further ***,additional structural optimization is necessary to enhance mass transport and achieve higher power density in practical ***,using ZIF-8 as a template,we synthesized yolk-shell catalysts featuring complex sites of Fe single atoms and Cu nanoclusters(y-FeCu/NC)via partial etching and liquid-phase *** synthesized y-FeCu/NC catalyst exhibits high specific surface area and mesoporous *** with the advantages of highly active sites and yolk-shell structure,the y-FeCu/NC catalyst demonstrated outstanding catalytic performance in the oxygen reduction reaction,achieving a half-wave potential(E_(1/2))of 0.97 V in 0.1 M *** a practical energy device,Zn-air battery(ZAB)assembled with y-FeCu/NC catalyst achieved a remarkable power density of 356.3 mW·cm^(-2),representing an improvement of approximately 28.5%compared to its solid FeCu/NC ***,it showcased impressive stability,surpassing all control samples.

关键词： atomic Fe-N4 sites Cu nanoclusters yolk-shell structure oxygen reduction reaction zinc-air battery

Graphdiyne oxide substrate-enhanced peroxidase-mimicking performance of Ru nanoparticles with physiological pH preference

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Nano Research 2024年第3期17卷 1123-1131页

作者： Cong xu Wenjie Ma Haozhi Wang Leihou Shao Weiqi Li Ping yu Lanqun Mao Beijing National Laboratory for Molecular Science Key Laboratory of Analytical Chemistry for Living BiosystemsInstitute of ChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Marine Resource Utilization in South China Sea School of Materials Science and EngineeringHainan UniversityHaikou 570228China College of Chemistry Beijing Normal UniversityBeijing 100875China

Modulating electronic structure of metal nanoparticles via metal–support interaction has attracted intense interest in the field of catalytic ***,the roles of supporting substrates in regulating catalytic properties of nanozymes remain *** this study,we find that the use of graphdiyne oxide(GDyO)as the substrate for self-terminating growth of Ru nanoparticles(Ru@GDyO)endows the peroxidase-like activity of Ru nanoparticles with intrinsic physiological pH preference and natural horseradish peroxidase(HRP)comparable *** nanoparticles electrolessly deposited onto GDyO possess a partially oxidized electronic structure owing to limited charge transfer between Ru and GDyO,contributing to the intrinsic physiological pH preference of the peroxidase-mimicking *** importantly,the substrate GDyO plays an influential factor in enhancing catalytic activity,that is,the activity of Ru@GDyO is much higher than that of Ru nanoparticles deposited on other carbon substrates including graphene oxides and *** demonstrate the application of Ru@GDyO nanozyme in neutral solutions,we employ Ru@GDyO with nicotinamide adenine dinucleotide(NAD+)-dependent dehydrogenases in physiological conditions to realize a sustainable cascade reaction by means of forming continuous NAD^(+)/dihydronicotiamide adenine dinucleotide(NADH)*** finding represents a promising perspective on designing high-performance peroxidase-mimicking nanozymes with broader applicability,raising fundamental understanding of structure–activity relationship,and investigating new applications of nanozymes in biological systems.

关键词： nanozyme graphdiyne reactive oxygen species electroless deposition metal–support interaction

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铁磁绝缘体中磁振子的非平衡稳态输运性质

物理学报 2024年第14期73卷 214-221页

作者：杨栋超易立志丁林杰刘敏朱丽娅许云丽何雄沈顺清潘礼庆 John q.Xiao 三峡大学理学院湖北省弱磁探测工程技术研究中心宜昌443002 三峡学院物理系重庆404100 香港大学物理系中国香港999077 Department of Physics and Astronomy University of DelawareNewark 19716USA

玻色子体系中的非平衡输运过程研究是极具挑战性的工作.磁振子是玻色子,具有与电子等费米子截然不同的自旋输运行为.本文以钇铁石榴石(yIG)铁磁绝缘体为研究对象,聚焦影响稳态下yIG中磁振子非平衡输运过程的关键因素.通过将具有非零化... 详细信息

玻色子体系中的非平衡输运过程研究是极具挑战性的工作.磁振子是玻色子,具有与电子等费米子截然不同的自旋输运行为.本文以钇铁石榴石(yIG)铁磁绝缘体为研究对象,聚焦影响稳态下yIG中磁振子非平衡输运过程的关键因素.通过将具有非零化学势μm的玻色-爱因斯坦统计函数引入到玻尔兹曼输运方程中,获得了以为幂次的输运方程严格解析表达式(当α(=-μm/(k_(B)T))<1时).结果显示,当α<<1时,我们得到了与以往研究不同的化学势μm与非平衡粒子浓度δn_(m)之间的非线性关系δn_(m)∝-α^(1/2)α-(-μm)^(1/2)α;较大时,则还须考虑其高阶项.正因这种非线性关系,导致磁振子扩散方程显著不同于电子自旋扩散特性,其由线性微分方程演变为更复杂的非线性微分方程.本文重点研究了在两种极端温度梯度(即■T~1K/mm和10^(4)K/mm)下非平衡磁振子浓度δn_(m)和化学势μm的空间分布,它们分别对应于μm的值约为-0.1μeV和-6.2meV,均满足前提条件α<1.在远离平衡态的大温度梯度分布下,本文理论计算与实验结果吻合很好.这些理论研究结果将加深人们对铁磁绝缘体中磁振子非平衡输运行为的认识.

关键词：磁振子非平衡输运化学势磁振子扩散方程玻尔兹曼输运方程

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Determination of the number ofψ(3686)events taken at BESⅢ

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Chinese Physics C 2024年第9期48卷 8-20页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso q.An y.Bai O.Bakina I.Balossino y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen H.y.Chen M.L.Chen S.J.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen y.B.Chen y.q.Chen Z.J.Chen Z.y.Chen S.K.Choi G.Cibinetto F.Cossio J.J.Cui H.L.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.q.Deng Z.y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Ding X.X.Ding y.Ding y.Ding J.Dong L.y.Dong M.y.Dong X.Dong M.C.Du S.X.Du y.y.Duan Z.H.Duan P.Egorov y.H.Fan J.Fang J.Fang S.S.Fang W.X.Fang y.Fang y.q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.q.Feng J.H.Feng y.T.Feng M.Fritsch C.D.Fu J.L.Fu y.W.Fu H.Gao X.B.Gao y.N.Gao yang Gao S.Garbolino I.Garzia L.Ge P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu y.T.Gu C.y.Guan Z.L.Guan A.q.Guo L.B.Guo M.J.Guo R.P.Guo y.P.Guo A.Guskov J.Gutierrez K.L.Han T.T.Han F.Hanisch X.q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz y.K.Heng C.Herold T.Holtmann P.C.Hong G.y.Hou X.T.Hou y.R.Hou Z.L.Hou B.y.Hu H.M.Hu J.F.Hu S.L.Hu T.Hu y.Hu G.S.Huang K.X.Huang L.q.Huang X.T.Huang y.P.Huang T.Hussain F.Hölzken N.Hüsken N.in der Wiesche J.Jackson S.Janchiv J.H.Jeong q.Ji q.P.Ji W.Ji X.B.Ji X.L.Ji y.y.Ji X.q.Jia Z.K.Jia D.Jiang H.B.Jiang P.C.Jiang S.S.Jiang T.J.Jiang X.S.Jiang y.Jiang J.B.Jiao J.K.Jiao Z.Jiao S.Jin y.Jin M.q.Jing X.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui N.Kumar A.Kupsc W.Kühn J.J.Lane P.Larin L.Lavezzi T.T.Lei Z.H.Lei M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.B.Li H.J.Li H.N.Li Hui Li J.R.Li J.S.Li Ke Li L.J.Li L.K.Li Lei Li M.H.Li P.R.Li q.M.Li q.X.Li R.Li S.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.Z.Li Xi Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati (A)INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly(B)INFN Sezione di PerugiaI-06100PerugiaItaly(C)University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara (A)INFN Sezione di FerraraI-44122FerraraItaly(B)University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de Alta Investigación Universidad de TarapacáCasilla 7DArica 1000000Chile Jilin University Changchun 130012China Joha

The number ofψ(3686)events collected by the BESⅢdetector during the 2021 run period is determined to be(2259.3±11.1)×10~6 by counting inclusiveψ(3686)hadronic *** uncertainty is systematic and the statistical uncertainty is ***,the numbers ofψ(3686)events collected during the 2009 and 2012run periods are updated to be(107.7±0.6)×10~6 and(345.4±2.6)×10~6,*** numbers are consistent with the previous measurements within one standard *** total number ofψ(3686)events in the three data samples is(2712.4±14.3)×10~6.

关键词： ψ(3686) inclusive process Hadronic events BESⅢdetector

Structural insights into the Oryza sativa cation transporters HKTs in salt tolerance

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Journal of Integrative Plant Biology 2024年第4期66卷 700-708页

作者： Ran Gao yutian Jia Xia xu Peng Fu Jiaqi Zhou Guanghui yang State Key Laboratory of Plant Environmental Resilience Frontiers Science Center for Molecular Design BreedingCollege of Biological SciencesChina Agricultural UniversityBeijing 100193China

The high-affinity potassium transporters(HKTs),selectively permeable to either Na^(+)alone or Na^(+)/K^(+),play pivotal roles in maintaining plant Na^(+)/K^(+)*** their involvement in salt tolerance is widely reported,the molecular underpinnings of Oryza sativa HKTs remain *** this study,we elucidate the structures of OsHKT1;1 and OsHKT2;1,representing two distinct classes of rice *** dimeric assembled OsHKTs can be structurally divided into four *** the dimer interface,a half-helix or a loop in the third domain is coordinated by the C-terminal region of the opposite ***,we present the structures of OsHKT1;5 salt-tolerant and salt-sensitive variants,a key quantitative trait locus associated with salt *** salt-tolerant variant of OsHKT1;5 exhibits enhanced Na^(+)transport capability and displays a more flexible *** findings shed light on the molecular basis of rice HKTs and provide insights into their role in salt tolerance.

关键词： HKT salt-tolerant structure

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Enhancing Data Forwarding Efficiency in SIoT with Multidimensional Social Relations

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Computers, Materials & Continua 2024年第1期78卷 1095-1113页

作者： Fang xu Songhao Jiang yi Ma Manzoor Ahmed Zenggang Xiong yuanlin Lyu School of Computer and Information Science Hubei Engineering UniversityXiaogan432000China School of Computer Science and Information Engineering Hubei UniversityWuhan430062China Artificial Intelligence Industrial Technology Research Institute Hubei Engineering UniversityXiaogan432000China

Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research *** paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this *** proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among *** new metrics are defined:the intensity of node social relationships,node activity,and community *** the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node *** a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between *** proposed algorithm was compared to three existing routing algorithms in simulation *** indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.

关键词： SIoT data forwarding social attributes social relations community

Band structures of strained kagome lattices

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Chinese Physics B 2024年第2期33卷 456-463页

作者：徐露婷杨帆 Center for Joint quantum Studies and Department of Physics School of ScienceTianjin UniversityTianjin 300354China Tianjin Key Laboratory of Low Dimensional Materials Physics and Preparing Technology Department of PhysicsTianjin UniversityTianjin 300354China

Materials with kagome lattices have attracted significant research attention due to their nontrivial features in energy *** theoretically investigate the evolution of electronic band structures of kagome lattices in response to uniaxial strain using both a tight-binding model and an antidot model based on a periodic muffin-tin *** is found that the Dirac points move with applied ***,the flat band of unstrained kagome lattices is found to develop into a highly anisotropic shape under a stretching strain along y direction,forming a partially flat band with a region dispersionless along ky direction while dispersive along kx *** results shed light on the possibility of engineering the electronic band structures of kagome materials by mechanical strain.

关键词： kagome lattice strain band structure engineering

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Regulation of AMPK activation by extracellular matrix stiffness in pancreatic cancer

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Genes & Diseases 2024年第3期11卷 338-350页

作者： Xin xu yuan Fang Somaira Nowsheen ye-Xiong Li Zhenkun Lou Min Deng State Key Laboratory of Molecular Oncology and Department of Radiation Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of General Surgery Shanghai General HospitalShanghai Jiaotong University School of MedicineShanghai 200080China Department of General Surgery Zhongshan HospitalFudan UniversityShanghai 200032China Department of Dermatology University of California San DiegoSan DiegoCA 92093USA Department of Oncology Mayo ClinicRochesterMN 55905USA

The adenosine monophosphate(AMP)-activated protein kinase(AMPK)sits at a cen-tral node in the regulation of energy metabolism and tumor *** is best known to sense high cellular ADP or AMP levels,which indicate the depletion of energy *** studies have shown that the low expression of phosphorylated AMPK is associated with a poor prognosis of pancreatic *** this study,we report that AMPK is also highly sensitive to extracellular matrix(ECM)*** found that AMPK is activated in cells when cultured under low ECM stiffness conditions and is functionally required for the metabolic switch induced by ECM *** regulation of AMPK requires the Hippo kinases but not LKB1/*** kinases directly phosphorylate AMPKa at Thr172 to activate AMPK at low ECM ***,we found AMPK activity is inhibited in patients with pancreatic ductal adenocarcinoma(PDAC)with high ECM stiffness and is associated with a poor survival *** activation of Hippo kinases by ROCK inhibitor y-27632 in combination with the mitochondrial inhibitor metformin synergistically activates AMPK and dramatically inhibits PDAC ***,these findings establish a novel model for AMPK regulation by the mechanical properties of ECMs and provide a rationale for simultaneously targeting the ECM stiffness-Hippo kinases-AMPK signaling and low glucose-LKB1-AMPK signaling pathways as an effective therapeutic strategy against PDAC.

关键词： AMPKactivity Cellularmetabolic switch ECM stiffness Hippokinase signaling Pancreaticductal adenocarcinoma