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Biomedical and Environmental Sciences 2020年第2期33卷 123-132页

作者： WANG Jin Zhang YOU Li Bin KAN Nai Peng LIN Qi WENG Yu Wei zheng kui cheng Fujian Provincial Key Laboratory of Zoonosis Research Fujian Provincial Center for Disease Control and PreventionFuzhou 350001FujianChina

Objective The aim of this study was to update the epidemic situation of dengue fever(DF) and provide new insights for the consideration of disease control in Fujian province,China.Methods Details about DF cases in Fujian reported during 2004–2017 were collected and analyzed.The envelope(E) genes of isolates of dengue virus(DENV) were sequenced for phylogenetic analysis.Results The number of imported DF cases had increased dramatically since 2013,and the source regions expanded from Southeast Asia to South Asia,America,Oceania,and Africa,as well as the surrounding provinces.This resulted in local outbreaks and indigenous cases of DF that occurred more frequently,with 10 of 13 local outbreaks and 85.9%(1,252/1,458) of indigenous cases reported in2013–2017.Compared with only two coastal cities before 2013,four coastal and one inland city in 2013–2017 experienced the local DF outbreaks.The phylogenetic analysis of E genes confirmed that the import of DENV,not only from abroad but also from the surrounding provinces,played an important role in dissemination and local outbreaks of DF in Fujian.Conclusions The frequent import of DF cases from not only abroad but also the surrounding provinces resulted in increased incidence,frequent local outbreaks,and expansion of distribution in Fujian in recent years.There is a need for urgent measures to improve disease control in this province.

关键词： Dengue fever Epidemic Dengue virus Phylogenetic analysis

RT-nPCR Assays for Amplification and Sequencing of VP1 Genes in Human Enterovirus A–D from Clinical Specimens

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Biomedical and Environmental Sciences 2020年第11期33卷 829-838页

作者： CHEN Wei WENG Yu Wei HE Wen Xiang ZHU Ying YU Ting Ting XIE Jian Feng zheng kui cheng YAN Yan Sheng ZHANG Yong Jun ZHANG Wen Chang The School of Public Health Fujian Medical UniversityFuzhou 350122FujianChina Fujian Center for Disease Control and Prevention Fujian Provincial Key Laboratory of Zoonosis ResearchFuzhou 350001FujianChina

Objective To develop RT-nPCR assays for amplifying partial and complete VP1 genes of human enteroviruses(HEVs)from clinical samples and to contribute to etiological surveillance of HEV-related diseases.Methods A panel of RT-nPCR assays,consisting of published combined primer pairs for VP1 genes of HEV A–C and in-house designed primers for HEV-D,was established in this study.The sensitivity of each RT-nPCR assay was evaluated with serially diluted virus stocks of five serotypes expressed as CCID50 perμL and copies perμL,and the newly established methods were tested in clinical specimens collected in recent years.Results The sensitivity of RT-nPCR assays for amplifying partial VP1 gene of HEVs was 0.1 CCID50 perμL and 10 virus copies perμL,and for the complete VP1 gene was 1 CCID50 perμL and 100 virus copies perμL,using serially-diluted virus stocks of five serotypes.As a proof-of-concept,25 serotypes were identified and complete VP1 sequences of 23 serotypes were obtained by this system among 858 clinical specimens positive for HEVs during the past eight surveillance seasons.Conclusion This RT-nPCR system is capable of amplifying the partial and complete VP1 gene of HEV A–D,providing rapid,sensitive,and reliable options for molecular typing and molecular epidemiology of HEVs in clinical specimens.

关键词： Clinical specimens Human enterovirus A–D VP1 gene Polymerase chain reaction

Molecular Epidemiology of Coxsackievirus B1-5 Associated with HFMD in Fujian Province, China, 2011-2016

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Biomedical and Environmental Sciences 2019年第8期32卷 633-638页

作者： CHEN Wei WENG Yu Wei ZHANG Yong Jun HE Wen Xiang ZHU Ying YU Ting Ting XIE Jian Feng zheng kui cheng YAN Yan Sheng ZHANG Wen Chang Fujian Centre for Disease Control and Prevention Fujian Provincial Key Laboratory of Zoonosis ResearchFuzhou 350001FujianChina School of Public Health Fujian Medical UniversityFuzhou 350108FujianChina

Hand,foot and mouth disease(HFMD)is a common infectious disease that usually affects children less than 5 years of age.HFMD is caused by human enteroviruses(HEVs).HEVs,members of the Enterovirus genus of the Picornavi... 详细信息

关键词： Molecular Epidemiology Coxsackievirus B1-5 Associated HFMD

Troy: Efficient Service Deployment for Windows Systems

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Chinese Journal of Electronics 2024年第1期33卷 313-322页

作者： Deyu ZHANG Yu XIE Mucong XU En cheng Xiaoyan kui Bangwen HE Yunhao LI School of Computer Science and Engineering Central South University

The modern university computer lab and kindergarden through 12th grade classrooms require a centralized solution to efficiently manage a large number of desktops. The existing solutions either bring virtualization overhead in runtime or requires loading a large image over 30 GB leading to an unacceptable network latency. In this work, we propose Troy which takes advantage of the differencing virtual hard disk techniques in Windows systems.As such, Troy only loads the modifications made on one machine to all other machines. Troy consists of two modules that are responsible to generate an initial image and merge a differencing image with its parent image, respectively. Specifically, we identify the key fields in the virtual hard disk image that links the differencing image and the parent image and find the modified blocks in the differencing images that should be used to replace the blocks in the parent image. We further design a lazy copy solution to reduce the I/O burden in image merging. We have implemented Troy on bare metal machines. The evaluation results show that the performance of Troy is comparable to the native implementation in Windows, without requiring the Windows environment.

关键词： Service deployment Virtual hard disk File system merging Windows system

A Differential Privacy Federated Learning Scheme Based on Adaptive Gaussian Noise

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1679-1694页

作者： Sanxiu Jiao Lecai Cai Xinjie Wang kui cheng Xiang Gao College of Automation and Information Engineering Sichuan University of Science and EngineeringYibin644000China Sanjiang Research Institute of Artificial Intelligence and Robotics Yibin UniversityYibin644000China College of Mechanical Engineering Sichuan University of Science and EngineeringYibin644000China

As a distributed machine learning method,federated learning(FL)has the advantage of naturally protecting data privacy.It keeps data locally and trains local models through local data to protect the privacy of local data.The federated learning method effectively solves the problem of artificial Smart data islands and privacy protection issues.However,existing research shows that attackersmay still steal user information by analyzing the parameters in the federated learning training process and the aggregation parameters on the server side.To solve this problem,differential privacy(DP)techniques are widely used for privacy protection in federated learning.However,adding Gaussian noise perturbations to the data degrades the model learning performance.To address these issues,this paper proposes a differential privacy federated learning scheme based on adaptive Gaussian noise(DPFL-AGN).To protect the data privacy and security of the federated learning training process,adaptive Gaussian noise is specifically added in the training process to hide the real parameters uploaded by the client.In addition,this paper proposes an adaptive noise reduction method.With the convergence of the model,the Gaussian noise in the later stage of the federated learning training process is reduced adaptively.This paper conducts a series of simulation experiments on realMNIST and CIFAR-10 datasets,and the results show that the DPFL-AGN algorithmperforms better compared to the other algorithms.

关键词： Differential privacy federated learning deep learning data privacy

Weak Merging Scenario of CLASH Cluster A209

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Research in Astronomy and Astrophysics 2024年第4期24卷 174-182页

作者： Wen-cheng Feng Heng Yu Hai-Hui Zhao Xiao-Lan Hou Shu-Mei Jia cheng-kui Li Yu-Lin cheng Paolo Tozzi Ming Sun Yong Chen Department of Physics and Institute of Theoretical Physics Nanjing Normal UniversityNanjing 210023China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Department of Astronomy Beijing Normal UniversityBeijing 100875China Department of Astronomy Yunnan UniversityKunming 650091China INAF—Osservatorio Astrofisico di Arcetri Largo E.Fermi50122 FirenzeItaly Department of Astronomy University of VirginiaP.O.Box 400325CharlottesvilleVA 22904-4325USA

We study the structural and dynamical properties of A209 based on Chandra and XMM-Newton observations.We obtain detailed temperature,pressure,and entropy maps with the contour binning method,and find a hot region in the NW direction.The X-ray brightness residual map and corresponding temperature profiles reveal a possible shock front in the NW direction and a cold front feature in the SE direction.Combined with the galaxy luminosity density map we propose a weak merger scenario.A young sub-cluster passing from the SE to NW direction could explain the optical subpeak,the intracluster medium temperature map,the X-ray surface brightness excess,and the X-ray peak offset together.

关键词： X rays:galaxies:clusters galaxies:clusters:intracluster medium galaxies:clusters:Abell 209

Mitigated reaction kinetics between lithium metal anodes and electrolytes by alloying lithium metal with low-content magnesium

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Journal of Energy Chemistry 2024年第8期95卷 644-650页

作者： Yang-Yang Wang Ya-Nan Wang Nan Yao Shu-Yu Sun Xiao-Qing Ding Chen-Xi Bi Qian-kui Zhang Zhao zheng cheng-Bin Jin Bo-Quan Li Xue-Qiang Zhang Jia-Qi Huang School of Materials Science and Engineering Beijing Institute of Technology Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical Engineering Tsinghua University College of Materials and Chemistry China Jiliang University

Lithium（Li） metal is regarded as a promising anode candidate for high-energy-density rechargeable batteries. Nevertheless, Li metal is highly reactive against electrolytes, leading to rapid decay of active Li metal reservoir. Here, alloying Li metal with low-content magnesium（Mg） is proposed to mitigate the reaction kinetics between Li metal anodes and electrolytes. Mg atoms enter the lattice of Li atoms, forming solid solution due to the low amount（5 wt%） of Mg. Mg atoms mainly concentrate near the surface of Mg-alloyed Li metal anodes. The reactivity of Mg-alloyed Li metal is mitigated kinetically, which results from the electron transfer from Li to Mg atoms due to the electronegativity difference. Based on quantitative experimental analysis, the consumption rate of active Li and electrolytes is decreased by using Mgalloyed Li metal anodes, which increases the cycle life of Li metal batteries under demanding conditions.Further, a pouch cell（1.25 Ah） with Mg-alloyed Li metal anodes delivers an energy density of 340 Wh kg-1and a cycle life of 100 cycles. This work inspires the strategy of modifying Li metal anodes to kinetically mitigate the side reactions with electrolytes.

关键词： Alloying Anode/electrolyte interface Lithium metal anodes Pouch cell Reaction kinetics

Overview of epigenetic degraders based on PROTAC, molecular glue, and hydrophobic tagging technologies

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Acta Pharmaceutica Sinica B 2024年第2期14卷 533-578页

作者： Xiaopeng Peng Zhihao Hu Limei Zeng Meizhu Zhang Congcong Xu Benyan Lu chengpeng Tao Weiming Chen Wen Hou kui cheng Huichang Bi Wanyi Pan Jianjun Chen College of Pharmacy Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases of Ministry of EducationGannan Medical UniversityGanzhou 314000China College of Basic Medicine Gannan Medical UniversityGanzhou 314000China Guangdong Provincial Key Laboratory of New Drug Screening NMPA Key Laboratory for Research and Evaluation of Drug MetabolismSchool of Pharmaceutical SciencesSouthern Medical UniversityGuangzhou 510515China

Epigenetic pathways play a critical role in the initiation, progression, and metastasis of cancer. Over the past few decades, significant progress has been made in the development of targeted epigenetic modulators(e.g., inhibitors). However, epigenetic inhibitors have faced multiple challenges,including limited clinical efficacy, toxicities, lack of subtype selectivity, and drug resistance. As a result,the design of new epigenetic modulators(e.g., degraders) such as PROTACs, molecular glue, and hydrophobic tagging(Hy T) degraders has garnered significant attention from both academia and pharmaceutical industry, and numerous epigenetic degraders have been discovered in the past decade. In this review,we aim to provide an in-depth illustration of new degrading strategies(2017-2023) targeting epigenetic proteins for cancer therapy, focusing on the rational design, pharmacodynamics, pharmacokinetics, clinical status, and crystal structure information of these degraders. Importantly, we also provide deep insights into the potential challenges and corresponding remedies of this approach to drug design and development. Overall, we hope this review will offer a better mechanistic understanding and serve as a useful guide for the development of emerging epigenetic-targeting degraders.

关键词： Epigenetic Degrader PROTAC Molecularglue Hydrophobic tagging

SHT-based public auditing protocol with error tolerance in FDL-empowered IoVs

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Digital Communications and Networks 2024年第1期10卷 142-149页

作者： kui Zhu Yongjun Ren Jian Shen Pandi Vijayakumar Pradip Kumar Sharma School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China Peng cheng Laboratory Shenzhen518000China Department of Computer Science and Engineering University College of Engineering TindivanamTamil Nadu604001India Department of Computing Science University of AberdeenAberdeenAB243UEUK

With the intelligentization of the Internet of Vehicles(lovs),Artificial Intelligence(Al)technology is becoming more and more essential,especially deep learning.Federated Deep Learning(FDL)is a novel distributed machine learning technology and is able to address the challenges like data security,privacy risks,and huge communication overheads from big raw data sets.However,FDL can only guarantee data security and privacy among multiple clients during data training.If the data sets stored locally in clients are corrupted,including being tampered with and lost,the training results of the FDL in intelligent IoVs must be negatively affected.In this paper,we are the first to design a secure data auditing protocol to guarantee the integrity and availability of data sets in FDL-empowered IoVs.Specifically,the cuckoo filter and Reed-Solomon codes are utilized to guarantee error tolerance,including efficient corrupted data locating and recovery.In addition,a novel data structure,Skip Hash Table(SHT)is designed to optimize data dynamics.Finally,we illustrate the security of the scheme with the Computational Diffie-Hellman(CDH)assumption on bilinear groups.Sufficient theoretical analyses and performance evaluations demonstrate the security and efficiency of our scheme for data sets in FDL-empowered IoVs.

关键词： Internet of vehicles Federated deep learning Data security Data auditing Data locating and recovery

基于改进T-B法的宽带高斯过程疲劳损伤分析

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船舶力学 2024年第2期28卷 261-272页

作者：袁奎霖孙卓成大连理工大学工业装备结构分析国家重点实验室船舶工程学院辽宁大连116024

针对宽带高斯随机应力过程造成的疲劳损伤问题,本文提出一种基于改进Tovo-Benasciutti(T-B)法的疲劳损伤频域分析方法。通过不同参数形式的功率谱进行时域的疲劳损伤分析,针对T-B法中的关键参数bTB提出一个新的非线性函数模型。与原T-B... 详细信息

针对宽带高斯随机应力过程造成的疲劳损伤问题,本文提出一种基于改进Tovo-Benasciutti(T-B)法的疲劳损伤频域分析方法。通过不同参数形式的功率谱进行时域的疲劳损伤分析,针对T-B法中的关键参数bTB提出一个新的非线性函数模型。与原T-B法相比,新提出的函数模型bMTB可以考虑S-N曲线斜率参数m的影响,并以此为基础提出基于改进T-B法的疲劳损伤分析方法。以时域的雨流计数法结果作为基准,分别采用参数化功率谱和真实响应谱进行数值试验,并与现有的多种宽带高斯疲劳损伤分析方法进行对比,验证本文所提出的改进T-B法的准确性和适用性。

关键词：宽带高斯随机过程疲劳损伤改进T-B谱方法数值模拟