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Erratum to: Electronic tattoos based on large-area Mo2C grown by chemical vapor deposition for electrophysiology

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Nano Research 2024年第4期17卷 3427-3427页

作者： shiyu Wang Xin Wang Weifeng Zhang xiaohu shi Dekui Song Yan Zhang Yan Zhao Zihan Zhao Nan Liu Beijing Key Laboratory of Energy Conversion and Storage Materials College of ChemistryBeijing Normal UniversityBeijing 100875China Beijing Graphene Institute Beijing 100094China

Erratum to Nano Research 2023,16(3):4100−4106 https://***/10.1007/s12274-023-5423-y In the first pages of the maintext and the ESM of the original version of this paper,the order of affiliations of the authors was in a wrong sequence.“Beijing Key Laboratory of Energy Conversion and Storage Materials,College of Chemistry,Beijing Normal University,Beijing 100875,China”should be the first affiliation and“Beijing Graphene Institute,Beijing 100094,China”should be the second affiliation.

关键词： Conversion wrong chemical

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糖尿病患者血糖波动与中医证候的关联性研究

中华中医药杂志 2024年第2期39卷 956-961页

作者：张倩屈岭史晓虎杨丹赵菲王琼田国庆梁晓春中国医学科学院北京协和医院中医科北京100730 中山大学公共卫生学院广州510080

目的:探讨糖尿病患者血糖波动与中医证候之间的关联性。方法:运用动态血糖监测系统评估住院糖尿病患者的血糖波动特点,并进行中医证候分类及积分,运用多元线性回归相关分析血糖波动参数与证候积分之间的关联。结果:研究纳入72例糖尿病患... 详细信息

目的:探讨糖尿病患者血糖波动与中医证候之间的关联性。方法:运用动态血糖监测系统评估住院糖尿病患者的血糖波动特点,并进行中医证候分类及积分,运用多元线性回归相关分析血糖波动参数与证候积分之间的关联。结果:研究纳入72例糖尿病患者,线性回归结果显示中医阴虚证积分(P=0.023)、阳虚证积分(P=0.032)、血瘀证积分(P=0.003)分别与平均血糖波动幅度(MAGE)呈显著线性正相关,回归系数B分别为0.141、0.109、0.134;阳虚证积分(P=0.018)、血瘀证积分(P=0.000)分别与24 h血糖标准差呈显著线性正相关,回归系数B分别为0.052、0.071;阳虚证积分(P=0.045)、血瘀证积分(P=0.011)与日间血糖平均绝对差呈显著线性正相关,回归系数B分别为0.059、0.069。散点图显示MAGE与中医证候总积分、阴虚证、阳虚证、血瘀证积分大致呈线性正相关趋势,其中MAGE与血瘀证的散点图中各点的离散程度最低、最集中。结论:糖尿病患者的血糖波动与中医证候相关,血糖波动可能与阴虚、阳虚、血瘀证有关,其中与血瘀证的关联性最密切。

关键词：糖尿病血糖波动中医证候相关性

Electronic tattoos based on large-area Mo2C grown by chemical vapor deposition for electrophysiology

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Nano Research 2023年第3期16卷 4100-4106页

作者： shiyu Wang Xin Wang Weifeng Zhang xiaohu shi Dekui Song Yan Zhang Yan Zhao Zihan Zhao Nan Liu Beijing Graphene Institute Beijing 100094China Beijing Key Laboratory of Energy Conversion and Storage Materials College of ChemistryBeijing Normal UniversityBeijing 100875China

Tattoo electronics has attracted intensive interest in recent years due to its comfortable wearing and imperceivable sensing,and has been broadly applied in wearable healthcare and human-machine ***,the tattoo electrodes are mostly composed of metal films and conductive ***-dimensional(2D)materials,which are superior in conductivity and stability,are barely studied for electronic ***,we reported a novel electronic tattoo based on large-area Mo_(2)C film grown by chemical vapor deposition(CVD),and applied it to accurately and imperceivably acquire on-body electrophysiological signals and interface with ***-quality Mo_(2)C film was obtained via optimizing the distribution of gas flow during CVD *** to the finite element simulation(FES),bottom surface of Cu foil covers more stable gas flow than the top surface,thus leading to more uniform Mo_(2)C *** resulting Mo_(2)C film was transferred onto tattoo paper,showing a total thickness of~3μm,sheet resistance of 60-150Ω/sq,and skin-electrode impedance of~5×10^(5)Ω.Such thin Mo_(2)C electronic tattoo(MCET in short)can form conformal contact with skin and accurately record electrophysiological signals,including electromyography(EMG),electrocardiogram(ECG),and electrooculogram(EOG).These body signals collected by MCET can not only reflect the health status but also be transformed to control the robotics for human-machine interface.

关键词： electronic tattoo Mo2C film gas flow chemical vapor deposition electrophysiological signals

(DarkAI)Mapping the large-scale density field of dark matter using artificial intelligence

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Science China(Physics,Mechanics & Astronomy) 2024年第1期67卷 143-159页

作者： Zitong Wang Feng shi xiaohu Yang Qingyang Li Yanming Liu Xiaoping Li School of Aerospace Science and Technology Xidian UniversityXi’an 710126China Department of Astronomy School of Physics and Astronomyand Shanghai Key Laboratory for Particle Physics and CosmologyShanghai Jiao Tong UniversityShanghai 200240China Tsung-Dao Lee Institute and Key Laboratory for Particle Physics Astrophysics and CosmologyMinistry of EducationShanghai Jiao Tong UniversityShanghai 200240China Institute for Astronomy University of EdinburghRoyal ObservatoryEdinburgh EH93HJUnited Kingdom

Herein,we present a deep-learning technique for reconstructing the dark-matter density field from the redshift-space distribution of dark-matter *** built a UNet-architecture neural network and trained it using the COmoving Lagrangian Acceleration fast simulation,which is an approximation of the N-body simulation with 5123 particles in a box size of 500 h^(-1)***,we tested the resulting UNet model not only with training-like test samples but also with standard N-body simulations,such as the Jiutian simulation with 61443particles in a box size of 1000 h^(-1)Mpc and the ELUCID simulation,which has a different *** real-space dark-matter density fields in the three simulations can be reconstructed reliably with only a small reduction of the cross-correlation power spectrum at 1%and 10%levels at k=0.1 and 0.3 h Mpc-1,*** reconstruction clearly helps to correct for redshift-space distortions and is unaffected by the different cosmologies between the training(Planck2018)and test samples(WMAP5).Furthermore,we tested the application of the UNet-reconstructed density field to obtain the velocity&tidal field and found that this approach provides better results compared with the traditional approach based on the linear bias model,showing a 12.2%improvement in the correlation slope and a 21.1%reduction in the scatter between the predicted and true ***,our method is highly efficient and has excellent extrapolation reliability beyond the training *** provides an ideal solution for determining the three-dimensional underlying density field from the plentiful galaxy survey data.

关键词： dark matter large-scale structure cosmology

Herbal small RNAs in patients with COVID-19 linked to reduced DEG expression

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Science China(Life Sciences) 2023年第6期66卷 1280-1289页

作者： Xiangyu Qiao Fengming Huang xiaohu shi Xingyu Deng Cong Zhang Song Mei Zhiqing Wang Congzhao Zhou Chengyu Jiang Xinghua Tan State Key Laboratory of Medical Molecular Biology Institute of Basic Medical SciencesChinese Academy of Medical SciencesDepartment of BiochemistrySchool of Basic Medicine Peking Union Medical CollegeBeijing100005China Peking Union Medical College Hospital Chinese Academy of Medical SciencesBeijing100730China Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences University of Science and Technology of ChinaHefei230027China Guangzhou Eighth People’s Hospital Guangzhou Medical UniversityGuangzhou510440China

In China,more than 80%of patients with coronavirus disease 2019(COVID-19)received traditional Chinese medicine(TCM)as a treatment and their clinical efficacy have been ***,the underlying molecular mechanism remains *** studies have identified herbal small RNAs(s RNAs)as novel functional *** this study,a cohort of 22patients with COVID-19 treated with Toujie Quwen(TQ)granules was *** observed thousands of herbal small RNAs that entered the blood cells of patients after the consumption of TQ *** response to this treatment,the reduced differentially expressed genes(DEGs)were highly correlated with the predicted target genes of the most prevalent herbal s RNAs detected in the ***,the predicted target genes of the top 30 s RNAs from each of the 245 TCMs in the Bencao s RNA Atlas overlapped with 337 upregulated DEGs in patients with mild COVID-19,and 33 TCMs,with more than 50%overlapping genes were identified as effective *** predicted target genes of top 30 s RNAs from Juhong,Gualoupi and Foshou were confirmed *** results not only elucidated a novel molecular mechanism of TCM potential clinical efficacy for COVID-19 patients,but also provided 33 effective COVID-19 TCMs for prescription optimization.

关键词： traditional Chinese medicine Toujie Quwen granules CovID-19 transcriptome

Broadband high-efficiency dielectric metalenses based on quasi-continuous nanostrips

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Opto-Electronic Advances 2024年第5期7卷 49-58页

作者： xiaohu Zhang Qinmiao Chen Dongliang Tang Kaifeng Liu Haimo Zhang Lintong shi Mengyao He Yongcai Guo Shumin Xiao Key Laboratory of optoelectronic Technology and Systems of the Education Ministry of China Chongqing University Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of Technology Key Laboratory for Micro/Nano Optoelectronic Devices of Ministry of Education & Hunan Provincial Key Laboratory of Low-Dimensional Structural Physics and Devices School of Physics and ElectronicsHunan University

Benefiting from the abrupt phase changes within subwavelength thicknesses,metasurfaces have been widely applied for lightweight and compact optical *** broadband and high-efficiency characteristics are highly attractive for the practical implementation of ***,current metasurface devices mostly adopt discrete micro/nano structures,which rarely realize both merits *** this paper,dielectric metasurfaces composed of quasi-continuous nanostrips are proposed to overcome this *** quasi-continuous nanostrips metasurface,a normal focusing metalens and a superoscillatory lens overcoming the diffraction limit are designed and experimentally *** quasi-continuous metadevices can operate in a broadband wavelength ranging from 450 nm to 1000nm and keep a high power *** average efficiency of the fabricated metalens reaches 54.24%,showing a significant improvement compared to the previously reported metalenses with the same *** proposed methodology can be easily extended to design other metadevices with the advantages of broadband and high-efficiency in practical optical systems.

关键词： broadband high-efficiency metalens quasi-continuous sub-diffraction

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自动语音识别模型压缩算法综述

吉林大学学报（理学版） 2024年第1期62卷 122-131页

作者：时小虎袁宇平吕贵林常志勇邹元君吉林大学计算机科学与技术学院长春130012 吉林大学大数据和网络管理中心长春130012 中国第一汽车集团有限公司研发总院智能网联开发院长春130011 吉林大学生物与农业工程学院长春130022 长春中医药大学医药信息学院长春130117

随着深度学习技术的发展,自动语音识别任务模型的参数数量越来越庞大,使得模型的计算开销、存储需求和功耗花费逐渐增加,难以在资源受限设备上部署.因此对基于深度学习的自动语音识别模型进行压缩,在降低模型大小的同时尽量保持原有性... 详细信息

随着深度学习技术的发展,自动语音识别任务模型的参数数量越来越庞大,使得模型的计算开销、存储需求和功耗花费逐渐增加,难以在资源受限设备上部署.因此对基于深度学习的自动语音识别模型进行压缩,在降低模型大小的同时尽量保持原有性能具有重要价值.针对上述问题,全面综述了近年来该领域的主要工作,将其归纳为知识蒸馏、模型量化、低秩分解、网络剪枝、参数共享以及组合模型几类方法,并进行了系统综述,为模型在资源受限设备的部署提供可选的解决方案.

关键词：语音识别模型压缩知识蒸馏模型量化低秩分解网络剪枝参数共享

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中医师承教育在西医院校中医课程教学中的意义及作用

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基础医学与临床 2024年第4期44卷 582-584页

作者：杨丹余姿漫刘奕史晓虎江澜张亚敏景光婵吴群励中国医学科学院/北京协和医学院/北京协和医院中医科北京100730

中医药师承教育是中医教育人才培养的重要途径。院校教育与师承教育相结合的模式被认为是当前最符合中医药教育自身规律的教育模式,西医院校的中医教育现状及存在的主要问题是中西医思维方式的切换难度大、中医临床见习课时有限。文化... 详细信息

中医药师承教育是中医教育人才培养的重要途径。院校教育与师承教育相结合的模式被认为是当前最符合中医药教育自身规律的教育模式,西医院校的中医教育现状及存在的主要问题是中西医思维方式的切换难度大、中医临床见习课时有限。文化传承、经典传承、名师传授、实践导向、个性化教育,是中医师承教育的优势与特点。因此,将中医师承教育融入中医临床见习,是西医学生学习中医一种新型的教育模式,为培养中西医结合高级别人才做出探索与尝试。

关键词：中医师承教育西医院校中医教学

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震荡与趋势:资本主义国家选举政治新变化

当代世界与社会主义 2022年第3期 88-96页

作者：石晓虎北京第二外国语学院政党政治与政党外交研究院

进入21世纪以来,受资本主义世界系统性危机以及部分国别危机等影响,资本主义国家选举政治的动荡性和不确定性有所突出。资本主义国家选举政治的制度设计与政治实践不匹配性凸显,使得资本主义国家选举政治中的理性和包容性有所淡化,对抗... 详细信息

进入21世纪以来,受资本主义世界系统性危机以及部分国别危机等影响,资本主义国家选举政治的动荡性和不确定性有所突出。资本主义国家选举政治的制度设计与政治实践不匹配性凸显,使得资本主义国家选举政治中的理性和包容性有所淡化,对抗化、计算化、短视化等特征趋向突出。资本主义社会内部对选举民主危机认识复杂,辩护有之、质疑有之、客观评价有之。当前的资本主义国家选举制度改革偏重技术层面,不可能从根本上解决选举政治的内生缺陷,而只能显示一些改善信号,以安抚或欺骗部分选民,进而维护资本主义选举政治的合法性并巩固资产阶级政党对权力的掌控。在未来很长一段时间内,资本主义国家选举政治仍将在艰难中运行。

关键词：资本主义国家选举政治动荡发展未来走势