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Production and test of sPHENIX W/SciFiber electromagnetic calorimeter blocks in China

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Nuclear Science and Techniques 2024年第8期35卷 167-176页

作者： Xiao‑Zhou yu Xi‑Yang Wang Wei‑Hu Ma Shi‑Hong Fu Peng‑Fei Sun Jin‑Xing Song Wan‑Bing He Yang Shen Long Ma Jin‑Hui Chen huan.Zhong huan. Si‑Guang Wang Jing Zhou Xiao‑Mei Li Institute of Modern Physics Fudan UniversityShanghai 200433China Key Laboratory of Nuclear Physics and Ion‑Beam Application(MOE) Fudan UniversityShanghai 200433China Science and Technology on Nuclear Data Laboratory China Institute of Atomic EnergyBeijing 102413China Department of Physics and Astronomy University of CaliforniaLos AngelesCA 90095USA State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China

The sPHENIX experiment is a new generation of large acceptance detectors at the relativistic heavy ion collider at Brookhaven National Laboratory,with scientific goals focusing on probing the strongly interacting Quark–Gluon plasma with hard probes of jets,open heavy flavor particles,andγ*** EMCal detector,which covers the pseudo-rapidity region of|η|≤1.1,is an essential subsystem of *** this study,we focused on producing and testing EMCal blocks covering a pseudo-rapidity of|η|∈[0.8,1.1].These,in conjunction with the central pseudo-rapidity EMCal blocks,significantly enhance the sPHENIX physics capability of the jet andγparticle *** this paper,the detector module production and testing of sPHENIX W-powder/scintillating fiber(W/ScFi)electromagnetic calorimeter blocks are *** selection of the tungsten powder,mold fabrication,QA procedures,and cosmic ray test results are discussed.

关键词： sPHENIX Tungsten/scintillating fiber electromagnetic calorimeter Cosmic ray test

Publication trends of Leber congenital amaurosis researches:a bibliometric study during 2002-2022

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International Journal of Ophthalmology(English edition) 2024年第8期17卷 1501-1509页

作者： Xiao-Xu huan. Yi-Min Wang Min-yue Xie Yi-Qing Sun Xiao-huan.Zhao yu-Hong Chen Jie-Qiong Chen Si-Yang Han Min-Wen Zhou Xiao-Dong Sun Department of Ophthalmology Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghai 200080China National Clinical Research Center for Eye Disease Shanghai 200080China Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai 200080China Shanghai Engineering Center for Visual Science and Photomedicine Shanghai 200080China Department of Ophthalmology Zhongshan HospitalFudan UniversityShanghai 200030China Beijing Tongren Hospital Capital Medical UniversityBeijing 100054China Eberly College of Science Penn State UniversityUniversity Park 16802-1503United States

AIM:To analyze the changes in scientific output relating to Leber congenital amaurosis(LCA)and forecast the study trends in this ***:All of the publications in the field of LCA from 2002 to 2022 were collected from Web of Science(WOS)*** analyzed the quantity(number of publications),quality(citation and H-index)and development trends(relative research interest,RRI)of published LCA research over the last two ***,VOSviewer software was applied to define the co-occurrence network of keywords in this ***:A total of 2158 publications were ultimately *** found that the focus on LCA kept rising and peaked in 2015 and 2018,which is consistent with the development trend of gene *** USA has contributed most to this field with 1162 publications,56674 citations and the highest H-index value(116).The keywords analysis was divided into five clusters to show the hotspots in the field of LCA,namely mechanism-related,genotype-related,local phenotype-related,system phenotype-related,and *** also identified gene therapy and antiretinal degeneration therapy as a major focus in recent ***:Our study illustrates historical research process and future development trends in LCA *** may help to guide the orientation for further clinical diagnosis,treatment and scientific research.

关键词： VOSviewer bibliometrics Leber congenital amaurosis gene therapy hotpots

Electromagnetic Ion Beam Instability in the Solar Corona

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Research in Astronomy and Astrophysics 2024年第2期24卷 171-179页

作者： Wen Liu Jin-Song Zhao De-Jin Wu huan.yu Jia Si-Ming Liu School of Mechanics and Aeronautics Southwest Jiaotong UniversityChengdu 610000China School of Physical Science and Technology Southwest Jiaotong UniversityChengdu 610000China Key Laboratory of Planetary Sciences Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023China

Remote-sensing measurements indicate that heavy ions in the corona undergo an anisotropic and mass-charge dependent energization.A popular explanation to this phenomenon is the damping of the Alfven/ion cyclotron *** this paper,we propose that the ion beam instability can be an important source of the Alfven/ion cyclotron waves,and we study the excitation of the ion beam instability in the corona at the heliocentric distance~3R_(⊙)and the corresponding energy transfer process therein ba sed on plasma kinetic *** results indicate that the existence of the motionless heavy ions inhibits the ion beam ***,the anisotropic beams of heavy ions promote the excitation of the ion beam ***,the existence ofαbeams can provide a second energy source for exciting beam ***,when both the proton beam and the a beam reach the instability excitation threshold,the proton beam driven instability excites ***,the excitation threshold of the Alfven/ion cyclotron instability driven by ion beam is of the local Alfven speed or even less in the corona.

关键词： plasmas-instabilities-waves-Sun corona

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并联卷积神经网络的近红外光谱定量分析模型

光谱学与光谱分析 2024年第6期44卷 1627-1635页

作者：于水宦克为刘小溪王磊长春理工大学物理学院吉林长春130022 吉林省科学技术信息研究所吉林长春130033

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近... 详细信息

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近红外光谱数据量的激增,传统的近红外光谱建模方法已经出现明显的不足。随着人工智能技术的不断发展,深度学习算法在近红外光谱分析领域得到了广泛应用。提出了一种基于并联卷积神经网络的近红外光谱定量分析模型(PaBATunNet)。该模型由1个一维卷积层、1个并联卷积模块(Module)、1个展平层、4个全连接层和1个参数调节器(PR)组成,Module模块包括5个子模块分别对光谱数据进行线性及非线性多维特征提取,并通过Concatenate函数将提取后的光谱特征数据进行拼接,PR模块通过调节优化PaBATunNet模型参数,提高模型预测精度。基于Gard-CAM思想给出了PaBATunNet模型高贡献度特征波长,增加了PaBATunNet模型的可解释性。以谷物、柴油、啤酒、牛奶四组公开的近红外光谱数据为例,将PaBATunNet模型的预测结果与偏最小二乘(PLS)、主成分回归(PCR)、支持向量机(SVM)和BP神经网络(BP)模型的预测结果进行比较。结果表明,与PLS相比,PaBATunNet模型在谷物、柴油、啤酒、牛奶数据集的预测精度上分别提高了30.0%、40.7%、43.0%、52.8%;与PCR相比,PaBATunNet模型的预测精度分别提高了28.8%、35.9%、40.8%、52.2%;与SVM相比,PaBATunNet模型的预测精度分别提高了45.5%、37.4%、45.3%、54.7%;与BP相比,PaBATunNet模型的预测精度分别提高了7.9%、32.4%、90.1%、62.0%。基于并联卷积神经网络的近红外光谱建模方法相比于传统建模方法解决了模型预测精度低、运行时间长、泛化能力差以及可解释性不强等问题,可有效应用于工农业生产中不同物质的定量分析,为建立快速、无损、高精度的近红外光谱定量分析模型提供了科学基础。

关键词：近红外光谱深度学习并联卷积神经网络定量分析预测模型

Biomimetic natural biomaterials for tissue engineering and regenerative medicine:new biosynthesis methods,recent advances,and emerging applications

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Military Medical Research 2024年第1期11卷 50-79页

作者： Shuai Liu Jiang-Ming yu Yan-Chang Gan Xiao-Zhong Qiu Zhe-Chen Gao huan.Wang Shi-Xuan Chen yuan Xiong Guo-Hui Liu Si-En Lin Alec McCarthy Johnson V.John Dai-Xu Wei Hong-Hao Hou Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering the Fifth Affiliated HospitalSchool of Basic Medical ScienceSouthern Medical UniversityGuangzhou 510900China Department of Orthopedics Tongren HospitalShanghai Jiao Tong UniversityShanghai 200336China The Eighth Affiliated Hospital Sun Yat-Sen UniversityShenzhen 518033GuangdongChina Engineering Research Center of Clinical Functional Materials and Diagnosis&Treatment Devices of Zhejiang Province Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou 325011ZhejiangChina Department of Orthopedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Department of Orthopaedics and Traumatology Faculty of Medicinethe Chinese University of Hong KongHong Kong SAR 999077China Department of Functional Materials Terasaki Institute for Biomedical InnovationLos AngelesCA 90064USA Mary&Dick Holland Regenerative Medicine Program College of MedicineUniversity of Nebraska Medical CenterOmahaNE 68130USA Zigong Affiliated Hospital of Southwest Medical University Zigong Psychiatric Research CenterZigong Institute of Brain ScienceZigong 643002SichuanChina Key Laboratory of Resource Biology and Biotechnology in Western China Ministry of EducationSchool of MedicineDepartment of Life Sciences and MedicineNorthwest UniversityXi’an 710127China

Biomimetic materials have emerged as attractive and competitive alternatives for tissue engineering(TE)and regenerative *** contrast to conventional biomaterials or synthetic materials,biomimetic scaffolds based on natural biomaterial can offer cells a broad spectrum of biochemical and biophysical cues that mimic the in vivo extracellular matrix(ECM).Additionally,such materials have mechanical adaptability,micro-structure interconnectivity,and inherent bioactivity,making them ideal for the design of living implants for specific applications in TE and regenerative *** paper provides an overview for recent progress of biomimetic natural biomaterials(BNBMs),including advances in their preparation,functionality,potential applications and future *** highlight recent advances in the fabrication of BNBMs and outline general strategies for functionalizing and tailoring the BNBMs with various biological and physicochemical characteristics of native ***,we offer an overview of recent key advances in the functionalization and applications of versatile BNBMs for TE ***,we conclude by offering our perspective on open challenges and future developments in this rapidly-evolving field.

关键词： Biomimic Scaffold Biosynthesis Natural biomaterial Tissue engineering

Pathogenesis and treatment of diabetes mellitus-related erectile dysfunction: current therapies and potential challenges

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Clinical Research Communications 2024年第2期7卷 11-17页

作者： Han-yu He# Fan-yu Meng huan.Tian Cui Jun-yu Luo Si-Qi Ma Wei-Bo Wen Jie Zhao First Clinical Medical College Yunnan University of Chinese MedicineKunming 650500China Department of Endocrinology The First Affiliated Hospital of Yunnan University of Chinese MedicineKunming 650021China.

Erectile dysfunction(ED)is one of the important complications of diabetes,which is very common in diabetic patients,affecting more than half of male patients,and the incidence of the disease is about 3.5 times that of the normal *** pathogenesis of diabetic erectile dysfunction(DMED)is complex,involving nerve,vascular,endocrine,muscular and psychological *** present,the therapeutic approaches of DMED include drug therapy,surgery,physical therapy and so *** article provides a review of current research on the pathogenesis and treatment of *** elucidation of the pathogenesis of DMED and the development of new therapeutic approaches are of great significance for the prevention and treatment of DMED.

关键词： diabetes mellitus(DM) erectile dysfunction(ED) pathogenesis therapies

Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing

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Biomedical and Environmental Sciences 2024年第3期37卷 294-302页

作者： ZHANG Ya Li SU Wen Zhe WANG Rui Chen LI Yan ZHANG Jun Feng LIU Sheng Hui HU Dan He XU Chong Xiao YIN Jia yu YIN Qi Kai HE Ying LI Fan FU Shi Hong NIE Kai LIANG Guo Dong TAO Yong XU Song Tao MA Chao Feng WANG huan.yu Shaanxi University of Chinese Medicine Xianyang 712000ShaanxiChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Guangzhou Center for Disease Control and Prevention Guangzhou 510000GuangdongChina Shandong Center for Disease Control and Prevention Jinan 250000ShandongChina Department of Ophthalmology Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Xi'an Center for Disease Control and Prevention Xi’an 710054ShaanxiChina

Objective Viral encephalitis is an infectious disease severely affecting human *** is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other *** laboratory diagnosis of viral encephalitis is a worldwide ***,high-throughput sequencing technology has provided new tools for diagnosing central nervous system ***,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon *** We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant *** detection ability of the primers was verified by software simulation and the detection of known positive *** sequencing was used to validate the samples,and consistency was compared with Sanger *** The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted *** sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger *** Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral *** is also a useful tool for the high-volume screening of clinical samples.

关键词： Viral encephalitis Amplicon sequencing High-throughput sequencing Multipathogen detection

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乡规民约与农村治理的现代化耦合互动研究

农业考古 2024年第3期 194-201页

作者：周欢于语和中共天津市委党校文史教研部南开大学法学院

乡规民约在乡村法治建设中具有重要地位,其权威性源自于广大村民共同意志的体现。作为一种软法,乡规民约不仅具有深厚的传统根基,而且与农村社会的实际需求紧密相连。通过柔性治理等合作方式,乡规民约成为农村基层治理的重要工具,体现... 详细信息

乡规民约在乡村法治建设中具有重要地位,其权威性源自于广大村民共同意志的体现。作为一种软法,乡规民约不仅具有深厚的传统根基,而且与农村社会的实际需求紧密相连。通过柔性治理等合作方式,乡规民约成为农村基层治理的重要工具,体现了国家治理中政府管理、社会参与和村民自治的有机结合。乡规民约的成功实践,离不开对传统伦理道德的继承与发扬,同时也要吸收现代民主法治的精髓。在传统乡规民约中融入现代治理理念等现代化逻辑,进而形成的现代化乡规民约在基层治理中具有重要价值。它依托利益激励、道德评价和互助工具,形成了一种独特的治理模式,既尊重了传统,又体现了现代治理理念。这种治理模式为农村治理提供了有力支撑,有效促进了农村社会的和谐稳定。

关键词：乡规民约农村治理现代化耦合互动法治

基于特征向量信息支持向量机的RC框架易损性曲线预测

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地震研究 2024年第3期47卷 359-368页

作者：周宇骆欢湖北省地质灾害防治工程技术研究中心湖北宜昌443002 三峡大学土木与建筑学院湖北宜昌443002

易损性曲线将结构破坏等级与地震动强度相关联,能够直观地反映结构破坏的概率,但在建立易损性曲线的过程中需要大量的结构非线性时程分析结果,因而计算效率不高。机器学习方法已被证明能较好地解决这一问题,但当训练数据的规模较大时,... 详细信息

易损性曲线将结构破坏等级与地震动强度相关联,能够直观地反映结构破坏的概率,但在建立易损性曲线的过程中需要大量的结构非线性时程分析结果,因而计算效率不高。机器学习方法已被证明能较好地解决这一问题,但当训练数据的规模较大时,由于训练过程涉及求解大规模逆矩阵致使计算效率依然低下。为此,本文提出了一种特征向量信息支持向量机(EILS-SVM)的新方法克服此类方法的不足。在大规模数据集下,EILS-SVM能够筛选小规模子样本建立低秩核矩阵。这使得其训练过程只需求解小规模低秩矩阵的逆矩阵,进而极大提高计算效率。为了验证EILS-SVM的准确性和高效性,基于16500个钢筋混凝土(RC)框架在地震作用下的破坏数据,分别与支持向量机(LS-SVM)、随机森林、神经网络、线性判别分析(LDA)、贝叶斯作对比。结果表明,EILS-SVM能准确预测RC框架的易损性曲线,其计算效率最高能提升近27倍。

关键词：钢筋混凝土框架易损性曲线特征向量支持向量机机器学习

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