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Theoretical investigations on lattice Boltzmann method:an amended MBD and improved LBM

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Acta Mechanica Sinica 2021年第11期37卷 1659-1682,I0002页

作者： Jing Tang xing Maritime Engineering School of EngineeringFEPSUniversity of SouthamptonSouthamptonSO171BJUK

This paper presents theoretical investigations of lattice Boltzmann method(LBM)to develop a completed LBM *** on H-theorem with Lagrangian multiplier method,an amended theoretical equilibrium distribution function(EDF)is derived,which modifies the current Maxwell–Boltzmann distribution(MBD)to include the total internal energy as its *** modification allows the three conservation laws derived directly from lattice Boltzmann equation(LBE)without additional small-parameter expansions adopted in *** this amended theoretical EDF,an improved LBM is developed,in which the total internal energy like the mass density and mean velocity is a new macroscopic variable to be updated for different times and cells during *** developed method provides a means to consider external forces and energy generation sources as generalised forces in LBM *** corresponding model and implementation process of the improved LBM are presented with its performance theoretically *** hand-workable examples are given to illustrate its applications and to confirm its *** paper will excite more researchers and scientists of this area to numerically practice the new theory and method dealing with complex physical problems,from which it is expected to further advance LBM benefiting science and engineering.

关键词： Amended MBD Improved LBM Macroscopic internal energy Conservation laws from LBE Lagrangian multiplier method

Deep learning-based software engineering: progress,challenges, and opportunities

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Science China(Information Sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN xing HU Yuan HUANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG Bo LIU Hui LIU Xiaochen LI Xiaoli LIAN Guozhu MENG Xin PENG Hailong SUN Lin SHI Bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN Xin XIA Yibiao YANG Yixin YANG Li ZHANG Yuming ZHOU Lu ZHANG School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University Huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

Description of Superdeformed Triaxial Band in ^(163)Lu

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Chinese Physics Letters 1998年第3期15卷 170-172页

作者： xing Zheng WANG Zi-xing CHEN xing-qu Department of Modern Physics Lanzhou UniversityLanzhou 730000 Institute of Nuclear Research Chinese Academy of SciencesShanghai 201800

Using triaxial-particle-rotor model,theγ-transition energies,kinematic and dynamic moments of inertia and the transition quadrupole moments forπ[6601/2]band in ^(163)Lu are calculated and compared with the observed ... 详细信息

关键词： moments inertia

An investigation into natural vibrations of fluid-structure interaction systems subject to Sommerfeld radiation condition

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Acta Mechanica Sinica 2008年第1期24卷 69-82页

作者： Jing Tang xing School of Engineering Sciences University of Southampton Southampton SO17 1B J England

A fluid-structure interaction system subject to Sommerfeld＇s condition is defined as a Sommerfeld system which is divided into three categories： Fluid Sommerfeld （FS） System, Solid Sommerfeld （SS） System and Fluid Solid Sommerfeld （FSS） System of which Sommerfeld conditions are imposed on a fluid boundary only, a solid boundary only and both fluid and solid boundaries, respectively. This paper follows the previous initial results claimed by simple examples to further mathematically investigate the natural vibrations of generalized Sommerfeld systems. A new parameter representing the speed of radiation wave for generalized 3-D problems with more complicated boundary conditions is introduced into the Sommerfeld condition which allows investigation of the natural vibrations of a Sommerfeld system involving both free surface and compressible waves. The mathematical demonstrations and selected examples confirm and reveal the natural behaviour of generalized Sommerfeld systems defined above. These generalized conclusions can be used in theoretical or engineering analysis of the vibrations of various Sommerfeld systems in engineering.

关键词： Sommerfeld system Complex natural frequencies Fluid-structure interaction Complex energyflow identity Speed of radiation wave

Low temperature synthesis of high-entropy(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3)nanofibers by a novel electrospinning method

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Journal of Materials Science & Technology 2022年第8期103卷 215-220页

作者： Yan xing Wenqing Dan Yicun Fan xing’ao Li New Energy Technology Engineering Lab of Jiangsu Province School of ScienceNanjing University of Posts&Telecommunications(NUPT)Nanjing 210023China

High-entropy ceramics(HECs)show outstanding properties such as amorphous-like thermal conductivities,colossal dielectric constant,superionic conductivity,enhanced electromagnetic wave absorption ability,super hardness and strength,which are promising for structural and functional ***,the high synthesis temperature has become the bottleneck that hinders the scale-up production and practical applications of *** is thus appealing to develop a novel low-temperature process for the synthesis of *** demonstrate the feasibility of low-temperature synthesis,herein,an electrospinning method has been utilized,for the first time,for the synthesis of high-entropy(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3)*** has been found that after electrospinning from liquid precursors single phase(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) solid solution with bixbyite structure can be formed by calcining at a temperature as low as 500℃,which is at least about 1000℃ lower than that used in the solid-state synthesis *** as-prepared(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) nanofibers are continuous and uniform with a smooth surface and a small diameter of 150 *** is also intriguing that the average grain size of(Y_(0.2)Yb_(0.2)Sm_(0.2)Eu_(0.2)Er_(0.2))_(2)O_(3) is only about 10 nm,which is much smaller than that in the solid-state synthesized *** addition,all the elements are homogeneously distributed along the *** work demonstrates that high-entropy ceramic nanofibers can be synthesized from liquid precursors at low temperatures through a simple,efficient,and low-cost electrospinning method,which opens up a new avenue for the low-temperature synthesis of HECs.

关键词： High-entropy ceramics Nanofibers Electrospinning Rare earth metal oxides Synthesis

Generalised energy conservation law for chaotic phenomena

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Acta Mechanica Sinica 2019年第6期35卷 1257-1268页

作者： Jing-Tang xing Faculty of Engineering and Physical Sciences University of SouthamptonSouthampton SO171BJUK

Chaotic phenomena are increasingly being observed in all fields of nature,where investigations reveal that a natural phe nomenon exhibits nonlinearities and attempts to reveal their deep underlying *** is normally understood as“a state of disorder”,for which there is as yet no universally accepted mathematical definition.A commonly used concept states that,for a dynamical system to be classified as chaotic,it must have the following properties:be sensitive to initial conditions,show topological transitivity,have densely periodical orbits *** the rules that govern chaotic motion is thus an important unsolved task for exploring nature.W e present herein a generalised energy conservation law governing chaotic *** on two scalar variables,*** potential and kinetic energies defined in the phase space describing nonlinear dynamical systems,we find that chaotic motion is periodic motion with infinite time period whose time-averaged generalised potential and kinetic energies are conserved over its time *** implies that,as the averaging time is increased,the time-averaged generalised potential and kinetic energies tend to constants while the time-averaged energy flows,i.e.,their rates of change with time,tend to *** simulations on reported chaotic motions,such as the forced van der Pol system,forced Duffing system,forced smooth and discontinuous oscillator,Lorenz’s system,and Rossler's system,show the above conclusions to be correct according to the results presented *** discovery may indicate that chaotic phenomena in nature could be controlled because,even though their instantaneous states are disordered,their long-time averages can be predicted.

关键词： Chaos Generalised energy Generalised energy conservation Nonlinear dynamical systems Energy flow theory

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日本数字疗法管理及医保支付的经验与启示

卫生软科学 2025年第1期39卷 90-94页

作者：邢倩何达上海市卫生和健康发展研究中心/上海市医学科学技术情报研究所上海201199

通过梳理日本数字疗法的应用现状、医保支付路径及标准,发现日本数字疗法的准入在传统医疗器械框架下进行,得益于独立的分类管理和监管策略,以及产学研数据共享和数字疗法的快速发展。但较为有限的卫生技术评估基础导致数字疗法评估维... 详细信息

通过梳理日本数字疗法的应用现状、医保支付路径及标准,发现日本数字疗法的准入在传统医疗器械框架下进行,得益于独立的分类管理和监管策略,以及产学研数据共享和数字疗法的快速发展。但较为有限的卫生技术评估基础导致数字疗法评估维度不全面,伦理审查和社会影响有潜在隐患。基于此提出未来我国可探索以真实世界证据为准绳,尝试快速审查与支付的地区试点,确保多方利益和伦理考量,定期进行影响评估以保障数字疗法健康发展。

关键词：数字疗法政策保障医疗保险日本

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中医思维相关概念辨析

陕西中医药大学学报 2025年第1期48卷 1-4页

作者：邢玉瑞陕西中医药大学陕西咸阳712046

中医思维作为现代中医学术领域的热点词汇被广泛应用,然对与之相关的概念缺少反思与明确的界定。通过对以往研究的梳理,提出中医思维是指以中国传统哲学观为指导思想,采用一定的思维工具来认识世界与人体生命活动,构建中医药理论与开展... 详细信息

中医思维作为现代中医学术领域的热点词汇被广泛应用,然对与之相关的概念缺少反思与明确的界定。通过对以往研究的梳理,提出中医思维是指以中国传统哲学观为指导思想,采用一定的思维工具来认识世界与人体生命活动,构建中医药理论与开展临床诊疗实践的活动。中医思维方法是指以中国传统哲学观为指导思想,认识世界与人体生命活动,构建中医药理论与开展临床实践活动的手段、方式和途径。从中医思维方法的角度而言,运用中医药理论知识解决临床问题的中医临床思维方法,可称之为中医原创思维。厘清相关概念的内涵、外延,是科学开展中医思维研究的必要前提。

关键词：思维中医思维中医思维方法中医原创思维

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万家寨水库水量调度自适应模型研究

水利技术监督 2025年第1期 221-224,236页

作者：邢华孙超黄河万家寨水利枢纽有限公司山西太原030000

为增强水库水量调度对外部环境变化的适应性,提升流域水资源管理水平,基于水量调度中用水户与供水户的交互过程,文章建立万家寨水库水量调度自适应模型,并采用基于罚函数的分布式优化算法模拟供水决策机制。模型运行结果表明水库水量调... 详细信息

为增强水库水量调度对外部环境变化的适应性,提升流域水资源管理水平,基于水量调度中用水户与供水户的交互过程,文章建立万家寨水库水量调度自适应模型,并采用基于罚函数的分布式优化算法模拟供水决策机制。模型运行结果表明水库水量调度计划能根据社会经济发展和上游来水变化适应性生成,通过水库调水可有效满足区域城市、工业和生态用水需求,结果可为水库水量调度计划的编制和流域水资源管理提供依据。

关键词：水量调度水资源系统自适应模型利益偏好因子万家寨水库