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特种微结构光纤振动传感器及其铁路监测应用

机械工程学报 2022年第8期58卷 63-70页

作者：刘正勇 LIN Htein 刘繄钟永康谭华耀中山大学电子与信息工程学院广州510006 南方海洋科学与工程广东省实验室珠海519000 香港理工大学电机工程学系中国香港999077 武汉理工大学机电工程学院武汉430205

提出基于特种微结构光纤的振动加速度传感器,将高性能的光纤振动传感器应用于铁路结构的健康监测,设计并研制了Sagnac型的振动传感器。通过对光纤结构的合理设计和优化,可以获得高双折射率特性,并能针对外界侧向压力的变化产生对应的相... 详细信息

提出基于特种微结构光纤的振动加速度传感器,将高性能的光纤振动传感器应用于铁路结构的健康监测,设计并研制了Sagnac型的振动传感器。通过对光纤结构的合理设计和优化,可以获得高双折射率特性,并能针对外界侧向压力的变化产生对应的相位改变量,进而建立起外界振动引起的动态压力与微结构光纤中传导模式之间的线性关系。基于此原理设计的振动传感器具有较高的加速度灵敏度,以及较宽的频率响应,灵敏度高于25pm/g,其实际谐振频率高于2500Hz,并与传感器机械结构封装有关。通过对铁路运营列车的实时监测,所提出的新型微结构光纤振动传感器可以准确获得低频范围内的大幅振动信息,并可较好的反映出高频扰动,有助于实时监测钢轨波纹形变。所提出的新型六孔微结构光纤振动传感器对于铁路、桥梁及机械等结构的振动实时监测提供了新思路和方法,具有很大的应用前景。

关键词：微结构光纤振动传感器加速度结构健康监测

Managing type 2 diabetes:targeting a microbial enzyme as a novel treatment option

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Signal Transduction and Targeted Therapy 2024年第1期9卷 3-5页

作者： Anikó Keller-Pintér tamás Korcsmáros Tibor Vellai Department of Biochemistry Albert Szent-Györgyi Medical SchoolUniversity of SzegedSzeged6720Hungary Department of Metabolism Digestion and ReproductionImperial College LondonLondonW120NNUK Quadram Institute Bioscience Norwich Research ParkNorwichNR47UQUK Department of Genetics Eötvös Loránd University(ELTE)Budapest1117Hungary Hungarian Research Network HUN-REN-ELTE Genetics Research Group Budapest1117Hungary

In a recent Science article,Wang and colleagues showed that the dipeptidyl peptidase 4(DPP4)enzyme produced by the gut microbiota can interfere with the effect of host glucagon-like peptide-1(GLP-1)involved in stimulating insulin secretion,and the specific inhibitor of microbial DPP4(mDPP4),combined with clinical inhibitors of host DPP4 isoenzymes,further promotes blood glucose homeostasis.1 These results point out why certain patients respond inadequately to an antidiabetic medication.

关键词： homeostasis stimulating clinical

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一种高功率宽带光源的研制

中国激光 2001年第1期28卷 71-73页

作者：余有龙谭华耀锺永康黑龙江大学物理系哈尔滨150080 香港理工大学电机工程系

报道一种新型的高功率宽带光源 ,它利用 1480nm激光器对掺铒光纤进行抽运 ,经啁啾光纤光栅反射后二次放大输出 ,其功率高达 1 41mW ,线宽为 10nm。该光源工作的线性区间对应的电流为 375～ 6 45mA。

关键词：宽带光源啁啾光栅光通信激光器掺铒光纤抽运

Industrial and medical applications of fiber Bragg gratings(Invited Paper)

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Chinese Optics Letters 2016年第12期14卷 25-29页

作者： Zhengyong Liu hwa-yaw tam Photonics Research Center Department of Electrical Engineering The Hong Kong Polytechnic University

The uses of optical fibers are numerous, and over the past few decades, they have extended from optical fiber communications to a wide variety of sensing applications. In particular, fiber Bragg grating（FBG） sensors inscribed in single-mode optical fibers offer significant advantages over more conventional electrical sensors and have been successfully deployed in many different industries. In this Review, we review the applications of intrinsic FBG pressure and flow sensors in oil and gas and the deployment of FBG sensing networks in *** promising prospect of using polymer FBGs in wearable medical devices is also described.

关键词： Bragg numerous deployment grating intrinsic prospect railway attractive specialty experienced

A deep neural network based surrogate model for damage identification in full-scale structures with incomplete noisy measurements

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Frontiers of Structural and Civil Engineering 2024年第3期18卷 393-410页

作者： Tram BUI-NGOC Duy-Khuong LY tam T TRUONG Chanachai THONGCHOM T.NGUYEN-THOI Laboratory for Computational Mechanics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Mechanical-Electrical and Computer Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Faculty of Civil Engineering School of TechnologyVan Lang UniversityHo Chi Minh City 70000Vietnam Department of Computer Science Aarhus UniversityAarhus 8000Denmark Thammasat University research unit in structural and foundation engineering Department of Civil EngineeringThammasat UniversityPathumthani 12120Thailand Laboratory for Applied and Industrial Mathematics Institute for Computational Science and Artificial IntelligenceVan Lang UniversityHo Chi Minh City 70000Vietnam Thammasat School of Engineering Thammasat UniversityPathumthani 12120Thailand

The paper introduces a novel approach for detecting structural damage in full-scale structures using surrogate models generated from incomplete modal data and deep neural networks(DNNs).A significant challenge in this field is the limited availability of measurement data for full-scale structures,which is addressed in this paper by generating data sets using a reduced finite element(FE)model constructed by SAP2000 software and the MATLAB programming *** surrogate models are trained using response data obtained from the monitored structure through a limited number of measurement *** proposed approach involves training a single surrogate model that can quickly predict the location and severity of damage for all potential *** achieve the most generalized surrogate model,the study explores different types of layers and hyperparameters of the training algorithm and employs state-of-the-art techniques to avoid overfitting and to accelerate the training *** approach’s effectiveness,efficiency,and applicability are demonstrated by two numerical *** study also verifies the robustness of the proposed approach on data sets with sparse and noisy measured ***,the proposed approach is a promising alternative to traditional approaches that rely on FE model updating and optimization algorithms,which can be computationally *** approach also shows potential for broader applications in structural damage detection.

关键词： vibration-based damage detection deep neural network full-scale structures finite element model updating noisy incomplete modal data

Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate

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Advances in Atmospheric Sciences 2024年第5期41卷 974-988页

作者： Zhongfeng XU Ying HAN Meng-Zhuo ZHANG Chi-Yung tam Zong-Liang YANG Ahmed M.EL KENAWY Congbin FU Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China School of Atmospheric Sciences Nanjing UniversityNanjing 210093China Earth System Science Programme The Chinese University of Hong KongHong KongChina Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinTexasUSA Instituto Pirenaico de Ecología Consejo Superior de Investigaciones Científicas(CSIC)Campus de Aula Dei1005Zaragoza 50059Spain Department of Geography Mansoura UniversityMansoura 35516Egypt

In this study,we aim to assess dynamical downscaling simulations by utilizing a novel bias-corrected global climate model(GCM)data to drive a regional climate model(RCM)over the Asia-western North Pacific *** simulations were conducted with a 25-km grid spacing for the period 1980–*** first simulation(WRF_ERA5)was driven by the European Centre for Medium-Range Weather Forecasts Reanalysis 5(ERA5)dataset and served as the validation *** original GCM dataset(MPI-ESM1-2-HR model)was used to drive the second simulation(WRF_GCM),while the third simulation(WRF_GCMbc)was driven by the bias-corrected GCM *** bias-corrected GCM data has an ERA5-based mean and interannual variance and long-term trends derived from the ensemble mean of 18 CMIP6 *** demonstrate that the WRF_GCMbc significantly reduced the root-mean-square errors(RMSEs)of the climatological mean of downscaled variables,including temperature,precipitation,snow,wind,relative humidity,and planetary boundary layer height by 50%–90%compared to the WRF_***,the RMSEs of interannual-tointerdecadal variances of downscaled variables were reduced by 30%–60%.Furthermore,the WRF_GCMbc better captured the annual cycle of the monsoon circulation and intraseasonal and day-to-day *** leading empirical orthogonal function(EOF)shows a monopole precipitation mode in the WRF_*** contrast,the WRF_GCMbc successfully reproduced the observed tri-pole mode of summer precipitation over eastern *** improvement could be attributed to a better-simulated location of the western North Pacific subtropical high in the WRF_GCMbc after GCM bias correction.

关键词： bias correction multi-model ensemble mean dynamical downscaling interannual variability day-to-day variability validation

The Immense Impact of Reverse Edges on Large Hierarchical Networks

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Engineering 2024年第5期36卷 240-249页

作者： Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electronic Engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes,such as lagging birds’howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social *** study reveals that,for most large-scale real hierarchical networks,the majority of the reverse edges do not affect the synchronization process of the entire network;the synchronization process is influenced only by a small part of these reverse edges along specific *** surprisingly,a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%.The effect of such edges depends not on the network size but only on the average in-degree of the involved *** overwhelming majority of active reverse edges turn out to have some kind of“bunching”effect on the information flows of hierarchical networks,which slows down synchronization *** finding refines the current understanding of the role of reverse edges in many natural,social,and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these *** study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词： Synchronizability Large hierarchical networks Reverse edges Information flows Complex networks

A Multilayer Network Constructed for Herb and Prescription Efficacy Analysis

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Computer Systems Science & Engineering 2024年第3期48卷 691-704页

作者： Xindi Huang Liwei Liang Sakirin tam Hao Liang Xiong Cai Changsong Ding School of Informatics Hunan University of Chinese MedicineChangsha410208China Faculty of Science and Information Technology Phnom Penh International UniversityPhnom Penh12253Cambodia Institute of TCM Diagnostics Hunan University of Chinese MedicineChangsha410208China Institute of Innovation and Applied Research in Chinese Medicine Hunan University of Chinese MedicineChangsha410208China Big Data Analysis Laboratory of Traditional Chinese Medicine Hunan University of Chinese MedicineChangsha410208China

Chinese Medicine(CM)has been widely used as an important avenue for disease prevention and treatment in China especially in the form of CM prescriptions combining sets of herbs to address patients’symptoms and ***,the selection and compatibility of herbs are complex and abstract due to intrinsic relationships between herbal properties and their overall *** analysis is applied to demonstrate the complex relationships between individual herbal efficacy and the overall function of CM *** illustrate their connections and correlations,prescription function(PF),prescription herb(PH),and herbal efficacy(HE)intranetworks are proposed based on CM theory to identify relationships between herbs and *** three networks are then connected by PF-PH and PH-HE interlayer networks adopting herb dosage to form a multidimensional heterogeneous network,a Prescription-Herb-Function Network(PHFN).The network is applied to 112 classic prescriptions from Treatise on Exogenous Febrile and Miscellaneous Diseases to illustrate the application of *** PHFN is constructed including 146 functions in PF intra network,89 herbs in the PH intra network,and 163 herbal efficacies in the HE intra *** results show that herb pairs with synergistic actions have stronger relevance,such as licorice-cassia twig,licorice-Chinese date,fresh ginger-Chinese date,*** integration of dosage to the network helps to indicate the main herbs for cluster analysis and automatic *** also reveals the internal relationships between the functions of prescriptions and composed herbal efficacies.

关键词： Chinese medicine herb formula network analysis herb dosage

Tungsten-based nanocatalysts with different structures for visible light responsive photocatalytic degradation of bisphenol A

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Journal of Environmental Sciences 2024年第5期139卷 569-588页

作者： Hai Bang Truong Thi Thu Loan Doan Nguyen Tien Hoang Nguyen Van tam Minh Kim Nguyen Le Gia Trung Jin Seog Gwag Nguyen Tien Tran Optical Materials Research Group Science and Technology Advanced InstituteVan Lang UniversityHo Chi Minh CityViet Nam Faculty of Applied Technology School of TechnologyVan Lang UniversityHo Chi Minh CityViet Nam The University of Da Nang University of Science and Technology54 Nguyen Luong BangDa NangViet Nam The University of Da Nang University of Science and Education459 Ton Duc Thang St.Lien ChieuDa Nang 550000Viet Nam Institute of Veterinary Science and Technology 31ha zoneTrau QuyGia LamHa Noi 12400Viet Nam Department of Physics Yeungnam UniversityGyeongsanGyeongbuk 38541Republic of Korea Center for Advanced Chemistry Institute of Research and DevelopmentDuy Tan University03 Quang TrungDa Nang 550000Viet Nam Faculty of Natural Sciences Duy Tan University03 Quang TrungDa Nang 550000Viet Nam

Environmental pollution,such as water contamination,is a critical issue that must be absolutely ***,three different morphologies of tungsten-based photocatalysts(WO_(3)nanorods,WO_(3)/WS_(2)nanobricks,WO_(3)/WS_(2)nanorods)are made using a simple hydrothermal method by changing the solvents(H_(2)O,DMF,aqueous HCl solution).The as-prepared nanocatalysts have excellent thermal stability,large porosity,and high *** results show all materials have good photocatalytic activity in aqueous media,with WO_(3)/WS_(2)nanorods(NRs)having the best activity in the photodegradation of bisphenol A(BPA)under visible-light *** may originate from increased migration of charge carriers and effective prevention of electron–hole recombination in WO_(3)/WS_(2)NRs,whereby this photocatalyst is able to generate more reactive·OH and·O_(2)^(–)species,leading to greater photocatalytic *** 99.6% of BPA is photodegraded within 60 min when using 1.5 g/L WO_(3)/WS_(2)NRs and 5.0 mg/L BPA at pH ***,the optimal conditions(pH,catalyst dosage,initial BPA concentration)for WO_(3)/WS_(2)NRs are also elaborately *** rod-like heterostructures are expressed as potential catalysts with excellent photostability,efficient reusability,and highly active effectivity in different types of *** particular,the removal efficiency of BPA by WO_(3)/WS_(2)NRs reduces by only 1.5% after five recycling runs and even reaches 89.1%in contaminated lake *** study provides promising insights for the nearly complete removal of BPA from wastewater or different water resources,which is advantageous to various applications in environmental remediation.

关键词： Photodegradation Bisphenol A Tungsten-based nanocatalyst Structure Nanorod