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A comparative survey of SSVEP recognition algorithms based on template matching of training trials

International Journal of Intelligent Computing and Cybernetics 2023年第1期16卷 46-67页

作者： tian-jian luo College of Computer and Cyber Security Fujian Normal UniversityFuzhouChina Digital Fujian Internet-of-Thing Laboratory of Environmental Monitoring Fujian Normal UniversityFuzhouChina

Purpose-Steady-state visual evoked potential(SSVEP)has been widely used in the application of electroencephalogram(EEG)based non-invasive brain computer interface(BCI)due to its characteristics of high accuracy and information transfer rate(ITR).To recognize the SSVEP components in collected EEG trials,a lot of recognition algorithms based on template matching of training trials have been proposed and applied in recent *** this paper,a comparative survey of SSVEP recognition algorithms based on template matching of training trails has been ***/methodology/approach-To survey and compare the recently proposed recognition algorithms for SSVEP,this paper regarded the conventional canonical correlated analysis(CCA)as the baseline,and selected individual template CCA(ITCCA),multi-set CCA(MsetCCA),task related component analysis(TRCA),latent common source extraction(LCSE)and a sum of squared correlation(SSCOR)for ***-For the horizontal comparative of the six surveyed recognition algorithms,this paper adopted the“Tsinghua JFPM-SSVEP”data set and compared the average recognition performance on such data *** comparative contents including:recognition accuracy,ITR,correlated coefficient and R-square values under different time duration of the SSVEP stimulus *** on the optimal time duration of stimulus presentation,the author has also compared the efficiency of the six compared *** measure the influence of different parameters,the number of training trials,the number of electrodes and the usage of filter bank preprocessing were compared in the ablation ***/value-Based on the comparative results,this paper analyzed the advantages and disadvantages of the six compared SSVEP recognition algorithms by considering application scenes,realtime and computational ***,the author gives the algorithms selection range for the recognition of real-world online SSVEP-BCI.

关键词： Non-invasive brain-computer interface EEG signals Template matching of training trials Steadystate visual evoked potential Optimal projection vector

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Research on clothing patterns generation based on multi-scales self-attention improved generative adversarial network

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 647-663页

作者： Zi-yan Yu tian-jian luo Department of Fashion Art Design Hubei Institute of Fine ArtsWuhanChinaand College of Computer and Cyber Security Fujian Normal UniversityFuzhouChina

Purpose-Clothing patterns play a dominant role in costume design and have become an important link in the perception of costume *** clothing patterns design relies on experienced *** the quality of clothing patterns is very high on conventional design,the input time and output amount ratio is relative low for conventional *** order to break through the bottleneck of conventional clothing patterns design,this paper proposes a novel way based on generative adversarial network(GAN)model for automatic clothing patterns generation,which not only reduces the dependence of experienced designer,but also improve the input-output ***/methodology/approach-In view of the fact that clothing patterns have high requirements for global artistic perception and local texture details,this paper improves the conventional GAN model from two aspects:a multi-scales discriminators strategy is introduced to deal with the local texture details;and the selfattention mechanism is introduced to improve the global artistic ***,the improved GAN called multi-scales self-attention improved generative adversarial network(MS-SA-GAN)model,which is used for high resolution clothing patterns ***-To verify the feasibility and effectiveness of the proposed MS-SA-GAN model,a crawler is designed to acquire standard clothing patterns dataset from Baidu pictures,and a comparative experiment is conducted on our designed clothing patterns *** experiments,we have adjusted different parameters of the proposed MS-SA-GAN model,and compared the global artistic perception and local texture details of the generated clothing ***/value-Experimental results have shown that the clothing patterns generated by the proposed MS-SA-GANmodel are superior to the conventional algorithms in some local texture detail *** addition,a group of clothing design professionals is invited to evaluate the global artistic perception thr

关键词： Clothing-patterns Generative adversarial network Multi-scales discriminators Self-attention mechanism Global artistic perception

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Brain endothelial cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway in aging and neurodegeneration

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Neural Regeneration Research 2025年第7期20卷 2005-2007页

作者： Bryan Sun Lulin Li jian luo Palo Alto Veterans Institute for Research VA Palo Alto Health Care SystemPalo AltoCAUSA Polytrauma System of Care VA Palo Alto Health Care SystemPalo AltoCAUSA

The cyclic GMP-AMP synthase(cGAS)-stimulator of interferon genes(STING)signaling pathway has emerged as a key mediator of *** current studies primarily attribute its effects to neurons and glial cells,emerging research suggests that cGAS-STING signaling may play a critical role in cerebral vasculature,particularly in brain endothelial ***,studying the role 7of inflammation caused by the cGAS-STING pathway in brain endothelial cells could provide a more comprehensive understanding of neuroinflammatory disease and new avenues for therapeutic ***,we review the multifaceted role of global cGAS-STING signaling in various neurological and neuroinflammatory diseases and the potential contribution of cGAS-STING in brain endothelial cells.

关键词： stimulator interferon inflammation

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Effect of Ti Additions on Mechanical and Thermodynamic Properties of W-Ti Alloys: A First-principles Study

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 246-257页

作者： ZHANG jian NIE Wei HUANG Jin ZHU Ke LIU Ruxia ZHANG Ruizhi luo Guoqiang SHEN Qiang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China

The mechanical and thermodynamic properties of W-Ti alloys(including W_(15)Ti_(1),W_(14)Ti_(2),W_(12)Ti_(4) and W_(8)Ti_(8) alloys)were investigated by the first-principles approach based on density functional *** results indicate that W-Ti alloys except W_(8)Ti_(8) are thermodynamically *** modulus and hardness of W-Ti alloys are smaller than those of pure tungsten and gradually decrease with increasing Ti ***,their B/G ratios and Poisson's ratios exceed those of pure tungsten,suggesting that the introduction of Ti decreases the mechanical strength while enhancing the ductility of W-Ti *** thermal expansion coefficients for W-Ti alloys all surpass those of pure tungsten,indicating that the introduction of titanium exacerbates the thermal expansion behavior of W-Ti ***,elevated pressure has the capacity to suppress the thermal expansion tendencies in titanium-doped tungsten *** study offers theoretical insights for the design of nuclear materials by exploring the mechanical and thermodynamic properties of W-Ti alloys.

关键词： first-principles mechanical properties thermodynamic properties tungsten-titanium alloys

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Recent progress in the applications of presynaptic dopaminergic positron emission tomography imaging in parkinsonism

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Neural Regeneration Research 2025年第1期20卷 93-106页

作者： Yujie Yang Xinyi Li Jiaying Lu Jingjie Ge Mingjia Chen Ruixin Yao Mei tian jian Wang Fengtao Liu Chuantao Zuo Key Laboratory of Arrhythmias Ministry of EducationDepartment of Medical GeneticsShanghai East HospitalSchool of MedicineTongji UniversityShanghaiChina Department of Neurology National Research Center for Aging and MedicineNational Center for Neurological Disordersand State Key Laboratory of Medical NeurobiologyHuashan HospitalFudan UniversityShanghaiChina Department of Nuclear Medicine&PET Center National Center for Neurological Disordersand National Clinical Research Center for Aging and MedicineHuashan HospitalFudan UniversityShanghaiChina International Human Phenome Institutes(Shanghai) ShanghaiChina Human Phenome Institute Fudan UniversityShanghaiChina

Nowadays,presynaptic dopaminergic positron emission tomography,which assesses deficiencies in dopamine synthesis,storage,and transport,is widely utilized for early diagnosis and differential diagnosis of *** review provides a comprehensive summary of the latest developments in the application of presynaptic dopaminergic positron emission tomography imaging in disorders that manifest *** conducted a thorough literature search using reputable databases such as PubMed and Web of *** criteria involved identifying peer-reviewed articles published within the last 5 years,with emphasis on their relevance to clinical *** findings from these studies highlight that presynaptic dopaminergic positron emission tomography has demonstrated potential not only in diagnosing and differentiating various Parkinsonian conditions but also in assessing disease severity and predicting ***,when employed in conjunction with other imaging modalities and advanced analytical methods,presynaptic dopaminergic positron emission tomography has been validated as a reliable in vivo *** validation extends to screening and exploring potential neuropathological mechanisms associated with dopaminergic *** summary,the insights gained from interpreting these studies are crucial for enhancing the effectiveness of preclinical investigations and clinical trials,ultimately advancing toward the goals of neuroregeneration in parkinsonian disorders.

关键词： aromatic amino acid decarboxylase brain imaging dopamine transporter Parkinson’s disease parkinsonism positron emission tomography presynaptic dopaminergic function vesicle monoamine transporter type 2

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Modulation of the octahedral structure and potential superconductivity of La3Ni2O7 through strain engineering

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Science China(Physics,Mechanics & Astronomy) 2025年

作者： Zihao Huo Zhihui luo Peng Zhang Aiqin Yang Zhengtao Liu Xiangru Tao Zihan Zhang Shumin Guo Qiwen jiang Wenxuan Chen Dao-Xin Yao Defang Duan tian Cui Key Laboratory of Material Simulation Methods & Software of Ministry of Education State Key Laboratory of Superhard Materials College of Physics Jilin University Center for Neutron Science and Technology Guangdong Provincial Key Laboratory of Magnetoelectric Physics and Devices State Key Laboratory of Optoelectronic Materials and Technologies School of Physics Sun Yat-sen University MOE Key Laboratory for Non-equilibrium Synthesis and Modulation of Condensed Matter Shaanxi Province Key Laboratory of Advanced Functional Materials and Mesoscopic Physics School of Physics Xi'an Jiaotong University Institute of High Pressure Physics School of Physical Science and Technology Ningbo University

The recent transport measurements of La3Ni2O7uncovered a“right-triangle”shape of the superconducting dome in the pressure-temperature （P-T） phase *** by this,we perform theoretical first-principles studies of La3Ni2O7with the pressure ranging from 0 to 100 ***,we reveal a pressure dependence of the Ni-d2zelectron density at the Fermi energy (nE Fz) that highly coincides with such *** this basis,we further explore the electronic structure under uniaxial *** tracking the stress response of nE Fz,we propose that superconductivity can be achieved by applying only～2 GPa of compression along the c *** idea is further exemplified from the perspectives of lattice distortion,band structure,Fermi surface and superconducting phase *** also discuss the possible charge modulation under the stress and provide an insight into the relation between nE Fzand the superconducting Tcin *** study provides new routes to the search of high-Tcsuperconductors in future experiments.

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民族药牛尾巴菜的化学成分研究

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中国民族民间医药 2018年第21期27卷 40-42页

作者：郎天琼陈飞王剑田甜罗国勇张敬杰贵阳中医学院药学院贵州贵阳550025

目的:研究民族药牛尾巴菜的化学成分。方法:利用各种柱层析技术和重结晶法对牛尾巴菜的化学成分进行分离纯化,运用波谱技术并结合文献比对鉴定所分离化合物的结构。结果:从牛尾巴菜的乙酸乙酯部位中共分离鉴定6个化合物,分别是:二十八烷... 详细信息

目的:研究民族药牛尾巴菜的化学成分。方法:利用各种柱层析技术和重结晶法对牛尾巴菜的化学成分进行分离纯化,运用波谱技术并结合文献比对鉴定所分离化合物的结构。结果:从牛尾巴菜的乙酸乙酯部位中共分离鉴定6个化合物,分别是:二十八烷醇(1)、三十一烷(2)、5,4'-二羟基-7,8-二甲氧基黄酮(3)、邻苯二甲酸二正丁酯(4)、D-阿洛醇(5)和β-谷甾醇(6)。结论:除化合物3以外,其它均为首次从该植物中分离得到。

关键词：民族药鼠刺属牛尾巴菜阿洛醇

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隧道衬砌钢纤维混凝土的力学特性与微观机制研究

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科学技术创新 2025年第1期 132-135页

作者：罗健湖南城龙高速建设开发有限公司湖南长沙

为了增强隧道衬砌结构的安全性与耐久性,将钢纤维掺入喷射混凝土中进行改性处理。通过开展系列力学试验,深入探讨了钢纤维掺量、养护时间对混凝土试件强度与变形特征的影响规律,并借助微观图像技术对钢纤维增强机制进行细致分析。研究发... 详细信息

为了增强隧道衬砌结构的安全性与耐久性,将钢纤维掺入喷射混凝土中进行改性处理。通过开展系列力学试验,深入探讨了钢纤维掺量、养护时间对混凝土试件强度与变形特征的影响规律,并借助微观图像技术对钢纤维增强机制进行细致分析。研究发现:钢纤维的加入显著提升了混凝土的抗压强度与延展性;养护时间的延长导致钢纤维混凝土强度的增长速率逐渐下降,尤其在初始的7天内增长迅速;此外,钢纤维混凝土的抗压强度随着钢纤维掺量的增加呈现先上升后下降的趋势,钢纤维掺量为0.5%时,抗压强度达到最大值;钢纤维在混凝土中起到了桥接裂缝与缓冲整体失稳的重要作用。

关键词：隧道钢纤维喷射混凝土强度微观结构

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Reaction kinetics determination based on microfluidic technology

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Chinese Journal of Chemical Engineering 2022年第1期35卷 49-72页

作者： Zifei Yan Jiaxin tian Chencan Du jian Deng Guangsheng luo The State Key Lab of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

Microfluidic technology has been successfully applied to determine the reaction kinetics relying on its great characteristics including narrow residence time distribution,fast mixing,high mass and heat transfer rates and very low consumption of *** this review,the recent progresses about the reaction kinetics measured in microreactors are comprehensively organized,and the kinetic modeling thoughts,determination methods and essential kinetic regularities contained in these studies are summarized according to the reaction types involving nitration,oxidation,hydrogenation,photochemical reaction,polymerization and other ***,the significant advances in the innovation of microplatform are also *** novel reactor configuration methods were established mainly to achieve rapid and efficient data collection and ***,the advantages of microfluidic technology for the kinetic measurement are summarized,and a perspective for the future development is provided.

关键词： Microfluidics Microreactor Kinetics Chemical reaction

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基于改进粒子群算法的光伏逆变器控制参数辨识

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河南理工大学学报（自然科学版） 2025年第1期44卷 124-133页

作者：罗建孙越江丽娟重庆大学输配电装备及系统安全与新技术国家重点实验室重庆400044 国网安徽省电力有限公司培训中心安徽合肥230022

精准的光伏并网逆变器模型是研究大规模光伏接入下电力系统故障特性的重要工具。目的为了解决现有光伏逆变器仿真模型与实际工作中的光伏逆变器特性相差较大的问题,方法提出采用参数辨识的方法构建逆变器的辨识模型。以重庆云阳某1 MW... 详细信息

精准的光伏并网逆变器模型是研究大规模光伏接入下电力系统故障特性的重要工具。目的为了解决现有光伏逆变器仿真模型与实际工作中的光伏逆变器特性相差较大的问题,方法提出采用参数辨识的方法构建逆变器的辨识模型。以重庆云阳某1 MW光伏电站为实际参照模型,首先根据实际工作情况将逆变器的工作区间划分为3个阶段,利用数学扰动法分别对3个阶段中的待辨识参数划分灵敏度高低等级,并由此提出不同阶段不同灵敏度参数分步辨识策略;其次,分阶段采集实际光伏电站工作数据,对该数据进行分析处理,获得各待辨识参数的初始取值范围,设计同步辨识参数实验作为参照;最后提出改进的混沌遗传粒子群优化算法(chaos genetic algorithm of particle swarm optimization,CGAPSO)作为辨识算法,分步分工作阶段辨识相关参数,通过对比参数的同步辨识结果,验证所提方法的优越性,并将辨识结果代入仿真模型。结果结果表明,低灵敏度参数的同步辨识结果误差远超过可接受范围,而CGAPSO分步辨识出的相关参数误差皆在1.1%以下,精度远高于同步辨识结果。结论基于改进粒子群算法构建的辨识模型输出数据与实际逆变器工作数据契合度高,可准确反映逆变器实际工作特性。

关键词：光伏并网逆变器逆变器控制策略参数辨识数学扰动法改进粒子群优化算法

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