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益智

分子植物育种 2024年第2期22卷 701-701页

作者：张洁刘楚楚

益智(Alpinia oxyphylla)是姜科(Zingiberaceae)山姜属(Alpinia)多年生草本植物,主要分布在海南、广东,近年来也在云南和福建等地开始种植,多生长或栽培在林下阴湿的环境中。益智始载于《本草拾遗》中,其果实名唤益智仁,采摘晒干后可入...

益智(Alpinia oxyphylla)是姜科(Zingiberaceae)山姜属(Alpinia)多年生草本植物,主要分布在海南、广东,近年来也在云南和福建等地开始种植,多生长或栽培在林下阴湿的环境中。益智始载于《本草拾遗》中,其果实名唤益智仁,采摘晒干后可入药,根据《本草拾遗》记载,益智仁有“止呕哕……治遗精虚漏,小便余沥,益气安神,补不足,利三焦,调诸气”的功效。根据国家卫生健康委、国家市场监督管理总局发布的文件《按照传统既是食品又是中药材物质目录》,益智仁在限定使用范围和剂量内可作为药食两用。

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Important step towards an understanding of the exotic Z_(c)(3900)

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Science china(Physics,Mechanics & Astronomy) 2024年第9期67卷 199-200页

作者： c.Hanhart Institute for Advanced Simulation Forschungszentrum JulichJilich D-52425Germany

The Standard Model of particle physics,which contains the field theories for the electro-weak interaction(QED)and the strong interaction(QcD),is an extremely successful theory describing a huge variety of phenomena at... 详细信息

关键词： interaction atomic describing

Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

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computers, Materials & continua 2024年第3期78卷 3529-3549页

作者： Ying Su Morgan c.Wang Shuai liu Department of Statistics and Data Science University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully connected Neural Networks,convolutional Neural Networks,and Nonpooling convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis

Effects of interlayer spacing and applied pressure on the lanthanide transport in MoS2-based two-dimensional channels

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International Journal of Smart and Nano Materials 2024年第3期15卷 579-592页

作者： Qinsi Xiong chong liu George c.Schatz Department of chemistry Northwestern UniversityEvanstonILUSA Pritzker School of Molecular Engineering University of ChicagoChicagoILUSA

Rare-earth elements(REEs)are critical to modern industry but difficult to separate due to their subtle and monotonic.c.anges in physico-chemical ***2-based two-dimensional(2D)materials offer novel opportunities for enhancing REE separation,exhibiting a distinct volcano-shaped transport performance distribution that peaks at Sm3+.However,the specific.c.ntributions of thermodynamic and kinetic factors to ion transport within 2D confinement remain *** this study,we conducted a series of non-equilibrium all-atom molecular dynamics(MD)simulations to explore the effects of interlayer spacing and external pressure on the transport of lanthanide ions inÅ-scale acetate functionalized 2D MoS2(MoS2-cOOH)*** examined ion entry and permeation rates,water flux,dehydration,and binding *** simulation results reveal that the transport trends of lanthanide ions are jointly driven by the dehydration degree and the relative-binding strengths of ions to water and to the acetate within the 2D ***,the dehydration pattern of lanthanide ions during permeation is closely linked to kinetic ***,this study provides a detailed atomistic understanding of the mechanisms under-lying lanthanide ion transport under *** findings point to the significant potential for tuning confinement and chemical functionalization withinÅ-scale channels for more efficient REE separation.

关键词： MoS_(2) 2D channels Lanthanide ions ion transport nanofluidics

Progress on the antiferromagnetic topological insulator MnBi2Te4

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National Science Review 2024年第2期11卷 33-49页

作者： Shuai Li Tianyu liu chang liu Yayu Wang Hai-Zhou Lu X.c.Xie Department of Physics Harbin Institute of Technology Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southern University of Science and Technology(SUSTech) Quantum Science center of Guangdong-Hong Kong-Macao Greater Bay Area(Guangdong) Shenzhen Key Laboratory of Quantum Science and Engineering International Quantum Academy Beijing Academy of Quantum Information Sciences Beijing Key Laboratory of Optoelectronic Functional Materials&Micro-Nano Devices Department of Physics Renmin University of China State Key Laboratory of Low Dimensional Quantum Physics Department of PhysicsTsinghua University Frontier Science center for Quantum Information Hefei National Laboratory International center for Quantum Materials School of Physics Peking University Institute for Nanoelectronic Devices and Quantum computing Fudan University

Topological materials, which feature robust surface and/or edge states, have now been a research focus in condensed maTher physics. They represent a new class of materials exhibiting nontrivial topological phases,and provide a platform for exploring exotic transport phenomena, such as the quantum anomalous Hall effect and the quantum spin Hall effect. Recently, magnetic topological materials have attracted considerable interests due to the possibility to study the interplay between topological and magnetic *** particular, the quantum anomalous Hall and axion insulator phases can be realized in topological insulators with magnetic order. MnBi2Te4, as the first intrinsic antiferromagnetic topological insulator discovered, allows the examination of existing theoretical predictions; it has been extensively studied, and many new discoveries have been made. Here we review the progress made on MnBi2Te4from both experimental and theoretical aspects. The bulk crystal and magnetic structures are surveyed first, followed by a review of theoretical calculations and experimental probes on the band structure and surface states, and a discussion of various exotic phases that can be realized in MnBi2Te4. The properties of MnBi2Te4thin films and the corresponding transport studies are then reviewed, with an emphasis on the edge state transport. Possible future research directions in this field are also discussed.

关键词： MnBi2Te4 magnetic topological insulator antiferromagnetic quantum anomalous Hall effect axion insulator

Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/cAA Journal of Automatica Sinica 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian liu D.c.Wunsch Key Laboratory of Measurement and control of complex Systems of Engineering Ministry of EducationNanjing 210096 School of Automation Southeast UniversityNanjing 210096China Department of Electrical and computer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is concerned with prescribed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with second-order *** order to achieve the prior-given and user-defined convergence time for the PEG,a PTNE seeking algorithm has been developed to facilitate collaboration among multiple pursuers for capturing the evader without the need for any global ***,it is theoretically proved that the prescribedtime convergence of the designed algorithm for achieving Nash equilibrium of ***,the effectiveness of the PTNE method was validated by numerical simulation results.A PEG consists of two groups of agents:evaders and *** pursuers aim to capture the evaders through cooperative efforts,while the evaders strive to evade *** is a classic noncooperative *** has attracted plenty of attention due to its wide application scenarios,such as smart grids[1],formation control[2],[3],and spac.c.aft rendezvous[4].It is noteworthy that most previous research on seeking the Nash equilibrium of the game,where no agent has an incentive to change its actions,has focused on asymptotic and exponential convergence[5]-[7].

关键词： seeking prescribed convergence

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Influence of B4c and ZrB2 reinforcements on microstructural,mechanical and wear behaviour of AA 2014 aluminium matrix hybrid composites

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Defence Technology（防务技术） 2024年第10期40卷 242-254页

作者： Ramesh Babu R Rajendran c Saiyathibrahim A Rajkumar Velu Department of Mechanical Engineering Karpagam Institute of TechnologyCoimbatore 641105India Department of Mechanical Engineering Sri Krishna College of Engineering and TechnologyCoimbatore 641008India Department of Mechanical Engineering Indian Institute of Technology JammuJammu and Kashmir 181221India

considering their affordability and high strength-to-weight ratio,lightweight aluminium alloys are the subject of intensive research aimed at improving their properties for use in the aerospace *** research effort aims to develop novel hybrid composites based on AA 2014 alloy through the use of liquid metallurgy stir casting to reinforce dual ceramic particles of Zirconium Diboride(ZrB_(2))and Boron carbide(B4c).The weight percentage(wt%)of ZrB_(2) was varied(0,5,10,and 15),while a constant 5 wt%of B4c was maintained during this *** as-cast samples have been assessed using an Optical Microscope(OM)and a Scanning Electron Microscope(SEM)with Energy Dispersive Spectroscopy(EDS).The properties such as hardness,tensile strength,and wear characteristics of stir cast specimens were assessed to examine the impact of varying weight percentages of reinforcements in AA 2014 *** particular,dry sliding wear behaviour was evaluated considering varied loads using a pin-on-disc *** the weight%of ZrB_(2) grew and B4c was incorporated,hybrid composites showed higher hardness,tensile strength,and wear ***,the incorporation of a cumulative reinforcement consisting of 15 wt%ZrB_(2) and 5 wt%B4c resulted in a significant 31.86%increase in hardness and a 44.1%increase in tensile strength compared to AA 2014 *** addition,it has been detected that wear resistance of hybrid composite pin(containing 20 wt%cumulative reinforcement)is higher than that of other stir cast wear test pins during the whole range of applied *** surfaces of tensile specimens showed ductile fracture in the AA 2014 matrix and mixed mode for hybrid *** surfaces obtained employing higher applied load indicated abrasive wear with little plastic deformation for hybrid composites and dominant adhesive wear for matrix ***,the superior mechanical and tribological performance of hybrid composites can be attributed to dual reinforcement pa

关键词： AA 2014 alloy Stir casting Hybrid composite Hardness Tensile strength Specific wear rate

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Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance

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Science china(Information Sciences) 2024年第7期67卷 224-239页

作者： Zhijia ZHAO Jiale WU Zhijie liu We HE c.L.Philip cHEN School of Mechanical and Electrical Engineering Guangzhou University School of Intelligence Science and Technology and Key Laboratory of Intelligent Bionic Unmanned Systems of Ministry of Education University of Science and Technology Beijing School of computer Science and Engineering South China University of Technology Pazhou Lab

In this study, an adaptive neural network(NN) control is proposed for nonlinear two-degree-offreedom(2-DOF) helicopter systems considering the input constraints and global prescribed ***, radial basis function NN(RBFNN) is employed to estimate the unknown dynamics of the helicopter system. Second, a smooth nonaffine function is exploited to approximate and address nonlinear constraint functions. Subsequently, a new prescribed function is proposed, and an original constrained error is transformed into an equivalent unconstrained error using the error transformation and barrier function transformation methods. The analysis of the established Lyapunov function proves that the controlled system is globally uniformly bounded. Finally, the simulation and experimental results on a constructed Quanser's test platform verify the rationality and feasibility of the proposed control.

关键词： adaptive NN control 2-DOF helicopter global prescribed performance input constraints

Doped low-density parity-check codes

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Digital communications and Networks 2024年第1期10卷 217-226页

作者： Yong Li Rui liu Xianlong Jiao Youqiang Hu Zhen Luo Francis c.M.Lau college of computer Science Chongqing UniversityChongqing400044China School of Automation Chongqing UniversityChongqing400044China college of Electronic and Information Engineering Southwest UniversityChongqing400715China Future Wireless Networks and IoT Focusing Area Department of Electronic and Information EngineeringHong Kong Polytechnic UniversityHong KongChina

In this paper,we propose a doping approach to lower the error floor of Low-Density Parity-check(LDPc)*** doping component is a short block code in which the information bits are selected from the coded bits of the dominant trapping sets of the LDPc ***,an algorithm for selecting the information bits of the short code is proposed,and a specific two-stage decoding algorithm is *** results demonstrate that the proposed doped LDPc.c.de achieves up to 2.0 dB gain compared with the original LDPc.c.de at a frame error rate of 10^(-6)Furthermore,the proposed design can lower the error floor of original LDPc.c.des.

关键词： LDPc.c.des Doped LDPc.c.des Tanner graph Quadratic residue codes Trapping sets