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The magnetic states and Labyrinth ordering in 2D lattices of ising spins with RKKY Interaction

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International Journal of Modeling, Simulation, and Scientific Computing 2015年第2期6卷 40-48页

作者： Konstantin Nefedev Valery Belokon Vitalii Kapitan Olga Dyachenko the department of computer system the school of natural sciences far eastern federal university 8Sukhanova St.690950VladivostokRussian Federation Institute of Applied Mathematics far eastern Branch Russian Academy of Science 7 Radio St. 690041VladivostokRussian Federation The department of Theoretical and Experimental Physics The school of natural sciences far eastern federal university 8Sukhanova St.690950VladivostokRussian Federation The department of Physics of Low-Dimensional Structures The school of natural sciences far eastern federal university 8Sukhanova St.690950VladivostokRussian Federation The department of General Physics The school of natural sciences far eastern federal university 8Sukhanova St.690950VladivostokRussian Federation

The numerical simulation of 2D simple square lattice of Ising superspins,that interact via the Ruderman–Kittel–Kasuya–Yosida(RKKY)exchange interaction is *** is found,that at low temperatures in the researched systems predominantly realized labyrinth domain *** modeled image of magnetization distribution does not coincide with the image of energy *** loops of the samples and labyrinth domain structures similarly obtained by Monte Carlo method,are also observed in physical experiments.

关键词： Ising model long-range interaction magnetic states Monte Carlo simulation

Using the inverse Poisson distribution to calculate multiplicity of infection and viral replication by a high-throughput fluorescent imaging system

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Virologica Sinica 2016年第2期31卷 180-183页

作者： Robert William Figliozzi Feng Chen Albert Chi Shao-Chung Victor Hsia department of Pharmaceutical sciences School of Pharmacy and Health Professions University of Maryland Eastern Shore department of natural sciences School of Agriculture and Natural Sciences University of Maryland Eastern Shore department of Mathematics and computer sciences University of Maryland Eastern Shore

Dear Editor,For virologists,it is crucial to confidently determine the concentration of infectious particles that are utilized and produced in experiments（Dulbecco,1952;Bushar and Sagripanti,1990;La Barre and Lowy,20... 详细信息

关键词： multiplicity inverse throughput utilized Poisson replication infectious automatically counterpart scatter

Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field

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computer Modeling in Engineering & sciences 2023年第2期134卷 763-766页

作者： Wei-Chiang Hong Yi Liang department of Information Management Asia Eastern University of Science and TechnologyNew Taipei22061Taiwan school of Management Hebei GEO UniversityShijiazhuang050031China

Precise resources and energy forecasting are important to facilitate the decision-making process in order to achieve higher efficiency and reliability in energy system planning,maintenance,operation,security,and so *** the past decades,many resources and energy forecasting models have been continuously proposed to increase the forecasting accuracy,especially intelligence models(e.g.,artificial neural networks,support vector regression,evolutionary computation models,etc.).Meanwhile,due to the great development of optimization methods(e.g.,quadratic programming method,differential empirical mode method,evolutionary algorithms,etc.),many novel hybrid methods combined with the above-mentioned intelligent-optimization-based methods have also been proposed to achieve satisfactory forecasting accuracy *** is worthwhile to explore the tendency and development of intelligent-optimization-based hybrid methodologies and to enrich their practical performances,particularly for resources and energy forecasting.

关键词： artificial forecasting optimization

Experimentally realizing efficient quantum control with reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2022年第5期65卷 13-20页

作者： Ming-Zhong Ai Yongcheng Ding Yue Ban JoséDMartín-Guerrero Jorge Casanova Jin-Ming Cui Yun-Feng Huang Xi Chen Chuan-Feng Li Guang-Can Guo CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China International Center of Quantum Artifcial Intelligence for Science and Technology(Qu Artist)and department of Physics Shanghai UniversityShanghai 200444China department of Physical Chemistry University of the Basque Country UPV/EHUBilbao 48080Spai school of Materials Science and Engineering Shanghai UniversityShanghai 200444China IDAL Electronic Engineering DepartmentUniversity of ValenciaValencia 46100Spain IKERBASQUE Basque Foundation for ScienceBilbao 48009Spain

We experimentally investigate deep reinforcement learning(DRL)as an artificial intelligence approach to control a quantum *** verify that DRL explores fast and robust digital quantum controls with operation time analytically hinted by shortcuts to *** particular,the protocol’s robustness against both over-rotations and off-resonance errors can still be achieved simultaneously without any priori *** the thorough comparison,we choose the task as single-qubit flipping,in which various analytical methods are well-developed as the benchmark,ensuring their feasibility in the quantum system as ***,a gate operation is demonstrated on a trapped^(171) Yb^(+)ion,significantly outperforming analytical pulses in the gate time and energy cost with hybrid robustness,as well as the fidelity after repetitive operations under time-varying stochastic *** experiments reveal a framework of computer-inspired quantum control,which can be extended to other complicated tasks without loss of generality.

关键词： quantum control reinforcement learning trapped ion quantum computing noise robustness

Preserving cognitive function in patients with Alzheimer's disease:The Alzheimer's disease neuroprotection research initiative(ADNRI)

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Neuroprotection 2023年第2期1卷 84-98页

作者： Jie Liu Heleen van Beusekom Xian-Le Bu Gong Chen Paulo Henrique Rosado de Castro Xiaochun Chen Xiaowei Chen Andrew N.Clarkson Tracy D.farr Yuhong Fu Jianping Jia Jukka Jolkkonen Woojin Scott Kim Paula Korhonen Shen Li Yajie Liang Guang-Hui Liu Guiyou Liu Yu-Hui Liu Tarja Malm Xiaobo Mao Joaquim Miguel Oliveira Mike M.Modo Pedro Ramos-Cabrer Karsten Ruscher Weihong Song Jun Wang Xuanyue Wang Yun Wang Haitao Wu Lize Xiong Yi Yang Keqiang Ye Jin-Tai Yu Xin-Fu Zhou Marietta Zille Colin L.Masters Piotr Walczak Boltze Johannes Xunming Ji Yan-Jiang Wang department of Neurology Daping HospitalThird Military Medical UniversityChongqingChina Chongqing Key Laboratory of Ageing and Brain Diseases ChongqingChina Division of Experimental Cardiology Department of CardiologyErasmus MCUniversity Medical CenterRotterdamThe Netherlands Institute of Brain and Intelligence Third Military Medical UniversityChongqingChina Guangdong-HongKong-Macao Institute of CNS Regeneration(GHMICR) Jinan UniversityGuangzhouGuangdongChina Institute of Biomedical sciences Federal University of Rio de JaneiroRio de JaneiroRio de JaneiroBrazil Fujian Key Laboratory of Molecular Neurology Department of Neurology and GeriatricsFujian Institute of GeriatricsFujian Medical University Union HospitalInstitute of NeuroscienceFujian Medical UniversityFuzhouFujianChina Guangyang Bay Laboratory Chongqing Institute for Brain and IntelligenceChongqingChina Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghaiChina department of Anatomy Brain Health Research Centre and Brain Research New ZealandUniversity of OtagoDunedinNew Zealand school of Life sciences University of NottinghamNottinghamUK Brain and Mind Centre&school of Medical sciences The University of SydneySydneyNew South WalesAustralia Innovation Center for Neurological Disorders and department of Neurology Xuanwu HospitalNational Clinical Research Center for Geriatric DiseasesCapital Medical UniversityBeijingChina A.I.Virtanen Institute for Molecular sciences University of Eastern FinlandKuopioFinland department of Neurology and Psychiatry Beijing Shijitan HospitalCapital Medical UniversityBeijingChina department of Diagnostic Radiology and Nuclear Medicine University of Maryland School of MedicineBaltimoreMarylandUSA university of Chinese Academy of sciences BeijingChina State Key Laboratory of Membrane Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Beijing Institute of Brain Disorders Laboratory of Brain DisordersMinistry of Sci

The global trend toward aging populations has resulted in an increase in the occurrence of Alzheimer's disease(AD)and associated socioeconomic *** metabolism of amyloid-β(Aβ)has been proposed as a significant pathomechanism in AD,supported by results of recent clinical trials using anti-Aβ***,the cognitive benefits of the current treatments are *** etiology of AD is multifactorial,encompassing Aβand tau accumulation,neuroinflammation,demyelination,vascular dysfunction,and comorbidities,which collectively lead to widespread neurodegeneration in the brain and cognitive ***,solely removing Aβfrom the brain may be insufficient to combat neurodegeneration and preserve *** attain effective treatment for AD,it is necessary to(1)conduct extensive research on various mechanisms that cause neurodegeneration,including advances in neuroimaging techniques for earlier detection and a more precise characterization of molecular events at scales ranging from cellular to the full system level;(2)identify neuroprotective intervention targets against different neurodegeneration mechanisms;and(3)discover novel and optimal combinations of neuroprotective intervention strategies to maintain cognitive function in AD *** Alzheimer's Disease Neuroprotection Research Initiative's objective is to facilitate coordinated,multidisciplinary efforts to develop systemic neuroprotective strategies to combat *** aim is to achieve mitigation of the full spectrum of pathological processes underlying AD,with the goal of halting or even reversing cognitive decline.

关键词： Alzheimer's disease early intervention neural regeneration neuroprotection systematic perspective

Epidemiological shift and geographical heterogeneity in the burden of leptospirosis in China

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Infectious Diseases of Poverty 2018年第1期7卷 552-565页

作者： Pandji Wibawa Dhewantara Abdullah AMamun Wen-Yi Zhang Wen-Wu Yin Fan Ding Danhuai Guo Wenbiao Hu Federico Costa Albert Icksang Ko Ricardo JSoares Magalhaes Spatial Epidemiology Laboratory School of Veterinary ScienceThe University of QueenslandGattonQLD 4343Australia National Institute of Health Research and Development(NIHRD) Ministry of Health of IndonesiaUnit of Vector-borne Diseases ControlPangandaranWest Java 46396Indonesia Institute for Social Science Research The University of QueenslandIndooroopillyQLD 4068Australia Center for Disease Surveillance and Research Institute of Disease Control and Prevention of PLABeijing 100071People’s Republic of China Chinese Center for Disease Control and Prevention Beijing 102206People’s Republic of China Scientific Data Center Computer Network Information CenterChinese Academy of SciencesBeijing 100190People’s Republic of China school of Public Health and Social Work Queensland University of TechnologyKelvin GroveQLD 4059Australia Instituto Gonçalo Moniz Fundação Oswaldo CruzMinistério da SaúdeSalvadorBA 40296-710Brazil Instituto da Saúde Coletiva Federal University of Bahia(UFBA)SalvadorBA 40110-040Brazil department of Epidemiology of Microbial Diseases Yale School of Public HealthNew HavenCT 06520USA Children’s Health and Environment Program Child Health Research CentreThe University of QueenslandSouth BrisbaneQLD 4101Australia

Background:Leptospirosis morbidity and mortality rates in China have decreased since the *** analyses of the spatiotemporal and demographic changes occurring in the last decade and its implication on estimates of disease burden are required to inform intervention *** this study,we quantified the epidemiological shift and geographical heterogeneity in the burden of leptospirosis during 2005-2015 in ***:We used reported leptospirosis case data from 1st January 2005 to 31st of December 2015 that routinely collected by the China Information system for Disease Control and Prevention(CISDCP)to analyze the epidemiological trend and estimate the burden in terms of disability-adjusted life-years(DALYs)over space,time,and demographical ***:A total of 7763 cases were reported during *** which,2403(31%)cases were the laboratoryconfirmed *** 2005,the notified incidence rate was gradually decreased(P0.05).During 2005-2015,we estimated a total of 10313 DALYs were lost due to leptospirosis comprising a total of 1804 years-lived with disability(YLDs)and 8509 years-life lost(YLLs).Males had the highest burden of disease(7149 DALYs)compared to females(3164 DALYs).The highest burden estimate was attributed to younger individuals aged 10-19 years who lived in southern provinces of *** 2005-2015,this age group contributed to approximately 3078 DALYs corresponding to 30%of the total DALYs lost in ***,our analysis indicated a declining trend in burden estimates(P<0.001)since 2005 and remained relatively low during *** burden estimates have been identified in the endemic regions where infections principally *** of the changes in DALY estimates were driven by changes in ***:In the last 11-years,the burden estimates of leptospirosis have shown a declining trend across the country;however,leptospirosis should not be neglected as it re

关键词： Leptospirosis Epidemiology Burden China DALY Spatiotemporal trends