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Properties of the phase diagram from the Nambu-Jona-Lasino model with a scalar-vector interaction

NUCLEAR SCIENCE AND TECHNIQUES 2024年第10期35卷 1-12页

作者： Yang, Yong-Hang Liu, He chu, peng-cheng Qingdao Univ Technol Sch Sci Qingdao 266520 Peoples R China Qingdao Univ Technol Res Ctr Theoret Phys Qingdao 266033 Peoples R China

We investigated the properties of the phase diagram of high-order susceptibilities, speed of sound, and polytropic index based on an extended Nambu-Jona-Lasinio model with an eight-quark scalar-vector interaction. Non-monotonic behavior was observed in all these quantities around the phase transition boundary, which also revealed the properties of the critical point. Further, this study indicated that the chiral phase transition boundary and critical point could vary depending on the scalar-vector coupling constant GSV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G_\text {SV}$$\end{document}. At finite densities and temperatures, the negative GSV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G_\text {SV}$$\end{document} term exhibited attractive interactions, which enhanced the critical point temperature and reduced the chemical potential. The GSV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G_\text {SV}$$\end{document} term also affected the properties of the high-order susceptibilities, speed of sound, and polytropic index near the critical point. The non-monotonic (peak or dip) structures of these quantities shifted to a low baryon chemical potential (and high temperature) with a negative GSV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$G_\te

关键词： QCD phase diagram High-order susceptibilities Speed of sound Polytropic index NJL model QUANTUM CHROMODYNAMICS TRANSITION STATE

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色味锁夸克物质与夸克星

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物理学报 2024年第5期73卷 75-84页

作者：初鹏程刘鹤杜先斌青岛理工大学理学院青岛266033

讨论了零温、强磁场下基于准粒子模型的奇异夸克物质、色味锁夸克物质的热力学性质.结果表明色味锁夸克物质比奇异夸克物质更稳定,压强会随着色味锁态能隙常数的增大而增加.并且发现强磁场下磁星的最大质量会随着色味锁夸克物质的能隙... 详细信息

讨论了零温、强磁场下基于准粒子模型的奇异夸克物质、色味锁夸克物质的热力学性质.结果表明色味锁夸克物质比奇异夸克物质更稳定,压强会随着色味锁态能隙常数的增大而增加.并且发现强磁场下磁星的最大质量会随着色味锁夸克物质的能隙常数的增加而增加,磁星的潮汐形变率会随着能隙常数的增加而增加,磁星最大质量的中心密度会随着能隙常数的增加而降低.结果还说明考虑色味锁态得到的磁星质量半径关系可以满足最近实验观测PSR J0740+6620,PSR J0030+0451,和HESS J1731-347所给出的质量半径约束.

关键词：夸克物质夸克星磁星

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Resource Allocation to Minimize the Makespan with Multi-Resource Operations

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Journal of Systems Science & Complexity 2024年第5期37卷 2054-2070页

作者： WENG Wuyan chu chengbin WU peng School of Economics and Management Fuzhou UniversityFuzhou 350108China Univ Gustave Eiffel ESIEE Paris&COSYS-GRETTIAF-77454 Marne-la-ValléeFrance

This paper investigates a new resource-allocation problem involving multi-resource operations,where completing an operation requires simultaneous use of multiple(renewable)resources,probably of different *** goal of the study is to provide a solution method that minimizes the *** authors formulate the problem into a novel mixed-integer linear program(MILP)*** efficiently solve practical-sized instances,an exact Benders decomposition algorithm is *** algorithm divides the original problem into a master problem of allocating resources and a subproblem of calculating the makespan,and both are linked via Benders *** convergence is sped up by improving the mathematical model and embedding the variable neighborhood search *** with CPLEX,a commonly used MILP solver,the computational results demonstrate that the proposed algorithm provides tighter upper and lower bounds in most *** particular,compared with CPLEX,the proposed method can on average improve the upper and lower bounds by 4.76%and 4.39%,respectively,in solving practical-sized instances.

关键词： Benders decomposition multi-resources operations resource allocation

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相对论重离子碰撞中π介子椭圆流劈裂

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物理学报 2023年第13期72卷 48-55页

作者：刘鹤初鹏程青岛理工大学理学院青岛266000 青岛理工大学理论物理研究中心青岛266033

近年来,美国布鲁克海文国家实验室的相对论重离子对撞机上正在进行着束流能量扫描实验,STAR国际合作组的研究人员发现π介子椭圆流劈裂与电荷不对称度存在着线性关系.该现象被认为是手征磁波效应的重要信号.本文基于拓展的多相输运模型... 详细信息

近年来,美国布鲁克海文国家实验室的相对论重离子对撞机上正在进行着束流能量扫描实验,STAR国际合作组的研究人员发现π介子椭圆流劈裂与电荷不对称度存在着线性关系.该现象被认为是手征磁波效应的重要信号.本文基于拓展的多相输运模型,利用三味Nambu-Jona-Lasinio(NJL)模型研究了构成π+和π-介子不同的夸克同位旋平均场势,为解释π介子椭圆流劈裂与电荷不对称度线性关系的实验现象提供了新思路,可为同质异素体碰撞以及致密星体中夸克物质同位旋效应研究提供理论依据.

关键词：相对论重离子碰撞同位旋椭圆流多相输运模型

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Unsupervised construction of health indicator for rotating machinery via multi-criterion feature selection and attentive variational autoencoder

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Science China(Technological Sciences) 2024年第5期67卷 1524-1537页

作者： LI XinYu cheng ChangMing peng ZhiKe State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai200240China School of Mechanical Engineering Ningxia UniversityYinchuan750021China

Health indicator(HI)construction is a crucial task in degradation evaluation and facilitates the prognostic and health management(PHM)of rotating *** interference from artificial labeling,the HI construction approaches in an unsupervised manner have attracted substantial ***,current unsupervised methods generally struggle with two problems:(1)ignorance of both redundancy between features and global variability of features during the feature selection process;(2)inadequate utilization of information from different sampling *** tackle these problems,this work develops a novel unsupervised approach for HI construction that integrates multi-criterion feature selection and the Attentive Variational Autoencoder(Attentive VAE).Explicitly,a multi-criterion feature selection(Mc FS)algorithm together with an elaborately designed metric is proposed to determine a superior feature subset,considering the relevance,the redundancy,and the global variability of features ***,for the adequate utilization of the information from distinct sampling moments,a deep learning model named Attentive VAE is *** Attentive VAE is solely fed with the selected features in the health state for model training and the HI is derived through the reconstruction error to reveal the degradation degree of *** case studies based on genuine experimental datasets are involved to quantitatively evaluate the superiority of the developed approach,demonstrating its superiority over other unsupervised methods for characterizing degradation *** effectiveness of both the Mc FS algorithm and the Attentive VAE is verified by ablation experiments,respectively.

关键词： health indicator(HI) unsupervised learning multi-criterion feature selection global variability attention mechanism

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Partially-hiding functional encryption for degree-2 polynomials with fine-grained access control

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Frontiers of Computer Science 2024年第3期18卷 231-233页

作者： Haifeng QIAN cheng LIN Qiaohan chu Jie CHEN Shanghai Key Laboratory of Trustworthy Computing Software Engineering InstituteEast China Normal UniversityShanghai 200062China

1 Introduction Boneh et al.[1]first systematically introduce the concept of Functional Encryption(FE)which overcomes all-or-nothing limitation of traditional public key ***,FE hides a potential problem:even if the secret key is obtained legitimately,once it is released,it can be used *** leads to that the secret key may leak information *** deal with this problem and make FE more practical,Abdalla et al.[2]recently constructed inner-product FE(IPFE)with fine-grained access control achieving strong security guarantees under standard assumptions.

关键词： grain Encryption encryption

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Thyristor-inserted MMC Sub-module Topology with DC Fault Blocking Capability

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 2221-2229页

作者： cheng peng Rui Li Xu Cai Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong UniversityMinistry of EducationShanghai Jiao Tong UniversityShanghai 200240China.

Modular multilevel converter(MMC)is increasingly being applied to high voltage direct current(HVDC)***,dc short circuit situations restrain the application of a conventional half bridge MMC *** this paper,a new sub-module topology with inserted thyristor can help the MMC system clear a dc side *** states and devices voltage stress of the proposed topology are analyzed and the conduction loss comparison between the proposed topology with several existing topologies with dc fault blocking capability is carried *** show the proposed topology is superior to other topologies in terms of conduction loss while using the same voltage rating ***,compared with traditional half bridge topology,only thyristors and diodes are added in the proposed ***,cost of the proposed topology can be lower than conventional hybrid MMC *** last,the fault blocking capability of the proposed topology is verified in the simulation.

关键词： Fault current limiting high voltage direct current(HVDC)transmission modular multilevel converter(MMC)

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Data-driven discovery of formation ability descriptors for high-entropy rare-earth monosilicates

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Journal of Materiomics 2024年第3期10卷 738-747页

作者： Hong Meng peng Wei Zhongyu Tang Hulei Yu Yanhui chu School of Materials Science and Engineering South China University of TechnologyGuangzhou510641China

Herein we establish formation ability descriptors of high-entropy rare-earth monosilicates(HEREMs)via the data-driven discovery based on the high-throughput solid-state reaction and machine learning(ML)***,adequate high-quality data are generated with 132 samples synthesized by the self-developed high-throughput solid-state reaction apparatuses,and 30 potential descriptors are considered in ML *** classifications are proposed to study the phase formation of HEREMs via the ML approach combined with the genetic algorithm:(Ⅰ)to distinguish pure HEREMs(X)from other phases and(Ⅱ)to categorize the detail phases of HEREMs(X2,X1,or X2+X1).Four formation ability descriptors(r_(Me),EF,d_(Eg),and d_(Z*))with a high validation accuracy(96.2%)are proposed as the optimal combination for Classification I,where a smaller r_(Me)is determined to have the most significant influence on the formation of *** ClassificationⅡ,a 100%validation accuracy is achieved by using only two formation ability descriptors(rion and d_(Z*)),where the rion is analyzed to be the dominant feature and a lower rion is beneficial to the formation of *** on our established formation ability descriptors,6,045 unreported multicomponent silicates are explored,and 3,478 new HEREMs with 2,700 X2-and 423 X1-HEREMs are predicted.

关键词： High-entropy rare-earth monosilicates Formation ability descriptors High-throughput experiments Machine learning

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Bioinspired Polarized Optical Flow Enables Turbid Underwater Target Motion Estimation

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Journal of Ocean University of China 2024年第4期23卷 915-923页

作者： cheng Haoyuan ZHAO Shujie ZHU Jinchi YU Hao chu Jinkui College of Engineering Ocean University of ChinaQingdao 266100China Key Laboratory for Micro/Nano Technology and System of Liaoning Province Dalian University of TechnologyDalian 116024China

Underwater target motion estimation is a challenge for ocean military and scientific *** this work,we propose a method based on the combination of polarization imaging and optical flow for turbid underwater target *** imaging can reduce the influence of backscattered light and obtain high-quality images *** optical flow shows the motion and structural information of the *** use polarized optical flow to obtain the optical flow field and estimate the target *** experimental results of different targets under varying water turbidity levels illustrate that our method is realizable and *** precision is verified by comparing the results with the precise displacement data and calculating two error *** proposed method based on polarized optical flow can obtain accurate displacement information and a good recognition *** target segmentation based on the Otsu method further proves the superiority of the polarized optical flow under turbid *** study is valuable for target detection and motion estimation in scattering environments.

关键词： turbid underwater motion estimation polarization imaging optical flow

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Microstructure recognition of steels by machine learning based on visual attention mechanism

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Journal of Iron and Steel Research International 2024年第4期31卷 909-923页

作者： Xing-yu Chen Lin cheng cheng-yang Hu Yu-peng Zhang Kai-ming Wu The State Key Laboratory of Refractories and Metallurgy Hubei Province Key Laboratory of Systems Science on Metallurgical ProcessingInternational Research Institute for Steel TechnologyCollaborative Center on Advanced SteelsWuhan University of Science and TechnologyWuhan 430081HubeiChina Metals Valley and Band(Foshan)Metallic Composite Materials Co. Ltd.Foshan 528000GuangdongChina

U-Net has achieved good performance with the small-scale datasets through skip connections to merge the features of the low-level layers and high-level layers and has been widely utilized in biomedical image segmentation as well as recent microstructure image segregation of the *** representative visual attention mechanism modules,named as squeeze-and-excitation networks,convolutional block attention module,and extended calibration algorithm,were intro-duced into the traditional U-Net architecture to further improve the prediction *** is found that compared with the original U-Net architecture,the evaluation index of the improved U-Net architecture has been significantly improved for the microstructure segmentation of the steels with the ferrite/martensite composite microstructure and pearlite/ferrite composite microstructure and the complex martensite/austenite island/bainite microstructure,which demonstrates the advantages of the utilization of the visual attention mechanism in the microstructure *** reasons for the accuracy improvement were discussed based on the feature maps analysis.

关键词： Microstructure recognition-Steel Machine learning Visual attention mechanism Visualization

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