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| 1 | Design of PID controller with incomplete derivation based on differential evolution algorithm显示文摘To determine the optimal or near optimal parameters of PID controller with incomplete derivation, a novel design method based on differential evolution (DE) algorithm is presented. The controller is called DE-PID controller. To overcome the disadvantages of the integral performance criteria in the frequency domain such as IAE, ISE, and ITSE, a new performance criterion in the time domain is proposed. The optimization procedures employing the DE algorithm to search the optimal or near optimal PID controller parameters of a control system are demonstrated in detail. Three typical control systems are chosen to test and evaluate the adaptation and robustness of the proposed DE-PID controller. The simulation results show that the proposed approach has superior features of easy implementation, stable convergence characteristic, and good computational effciency. Compared with the ZN, GA, and ASA, the proposed design method is indeed more effcient and robust in improving the step response of a control system. | Wu Lianghong Wang Yaonan Zhou Shaowu Tan Wen | 2008 | Journal of Systems Engineering and Electronics2008，19，3： | 14 |
| 2 | Self-adapting control parameters modifieddifferential evolution for trajectoryplanning of manipulators显示文摘Control parameters of original differential evolution(DE)are kept fixed throughout the entire evolutionary process.However,it is not an easy task to properly set control parameters in DE for different optimization problems. According to the relative position of two different individual vectors selected to generate a difference vector in the searching place,a self-adapting strategy for the scale factor F of the difference vector is proposed.In terms of the convergence status of the target vector in the current population,a self-adapting crossover probability constant CR strategy is proposed. Therefore,good target vectors have a lower CR while worse target vectors have a large CR.At the same time,the mutation operator is modified to improve the convergence speed.The performance of these proposed approaches are studied with the use of some benchmark problems and applied to the trajectory planning of a three-joint redundant manipulator.Finally, the experiment results show that the proposed approaches can greatly improve robustness and convergence speed. | Lianghong WU Yaonan WANG Shaowu ZHOU | 2007 | 控制理论与应用(英文版)2007，5，4： | 12 |
| 3 | Improved differential evolution algorithm for resource-constrained project scheduling problem显示文摘An improved differential evolution(IDE)algorithm that adopts a novel mutation strategy to speed up the convergence rate is introduced to solve the resource-constrained project scheduling problem(RCPSP)with the objective of minimizing project duration Activities priorities for scheduling are represented by individual vectors and a senal scheme is utilized to transform the individual-represented priorities to a feasible schedule according to the precedence and resource constraints so as to be evaluated.To investigate the performance of the IDE-based approach for the RCPSP,it is compared against the meta-heuristic methods of hybrid genetic algorithm(HGA),particle swarm optimization(PSO) and several well selected heuristics.The results show that the proposed scheduling method is better than general heuristic rules and is able to obtain the same optimal result as the HGA and PSO approaches but more efficient than the two algorithms. | Lianghong Wu Yaonan Wang Shaowu Zhou | 2010 | Journal of Systems Engineering and Electronics2010，21，5： | 4 |
| 4 | Combination of bone marrow mesenchymal stem cells and brain-derived neurotrophic factor for treating spinal cord injury显示文摘BACKGROUND: Because bone marrow mesenchymal stem cells (BMSCs) do not secrete sufficient brain-derived neurotrophic factor (BDNF), the use of exogenous BDNF could improve microenvironments in injured regions for BMSCs differentiation. OBJECTIVE: To analyze recovery of the injured spinal cord following BMSCs venous transplantation in combination with consecutive injections of BDNF. DESIGN, TIME AND SETTING: A randomized, controlled animal experiment was performed at the Central Laboratory of First Hospital and Anatomical Laboratory, Fujian Medical University from October 2004 to May 2006. MATERIALS: Human BDNF was purchased from Sigma, USA. METHODS: A total of 44 New Zealand rabbits were randomly assigned to model (n = 8), BDNF (n = 12), BMSC (n = 12), and BMSC+BDNF (n = 12) groups. Spinal cord (L2) injury was established with the dropping method. The model group rabbits were injected with 1 mL normal saline via the ear margin vein; the BDNF group was subdurally injected with 100 μg/d human BDNF for 1 week; the BMSC group was injected with 1 mL BMSCs suspension (2 × 106/mL) via the ear margin vein; and the BMSC+BDNF group rabbits were subdurally injected with 100 μg/d BDNF for 1 week, in addition to BMSCs suspension via the ear margin vein. MAIN OUTCOME MEASURES: BMSCs surface markers were detected by flow cytometry. BMSCs differentiation in the injured spinal cord was detected by immunofluorescence histochemistry. Functional and structural recovery, as well as morphological changes, in the injured spinal cord were respectively detected by Tarlov score, horseradish peroxidase retrograde tracing, and hematoxylin & eosin staining methods at 1, 3, and 5 weeks following transplantation. RESULTS: Transplanted BMSCs differentiated into neuronal-like cells in the injured spinal cord at 3 and 5 weeks following transplantation. Neurological function and pathological damage improved following BMSC + BDNF treatment compared with BDNF or BMSC alone (P < 0.01 or P < 0.05). CONCLUSION: BMSCs venous transplantation in combination with BDNF subdural injection benefits neuronal-like cell differentiation and significantly improves structural and function of injured spinal cord compared with BMSCs or BDNF alone. | Dengliang Wang Dezhi Kang Jianhua Lin Lianghong YU Zhangya Lin Zhaoyang Wu | 2010 | Neural Regeneration Research2010，5，7： | 3 |
| 5 | Preparation and Evaluation of Insulin-loaded Nanoparticles based on Hydroxypropyl-β-cyclodextrin Modified Carboxymethyl Chitosan for Oral Delivery显示文摘Novel insulin-loaded nanoparticles based on hydroxypropyl-β-cyclodextrin modified carboxymethyl chitosan(CMC-HP-β-CD) were prepared to improve the oral bioavailability of insulin. The CMC-HP-β-CD was characterized by FT-IR spectroscopy and 1H-NMR spectra. The insulin-loaded nanoparticles were prepared through crosslinking with calcium ions, and the morphology and size of the prepared nanoparticles were characterized by transmission electron microscopy(TEM) and dynamic light scattering(DLS). Cumulative release in vitro study was performed respectively in simulated gastric medium fluid(SGF, p H=1.2), simulated intestinal fluid(SIF, p H=6.8) and simulated colonic fluid(SCF, p H=7.4). The encapsulation efficiency of insulin was up to 87.14 ± 4.32% through high-performance liquid chromatography(HPLC). Statistics indicated that only 15% of the encapsulated insulin was released from the CMC-HP-β-CD nanoparticles in 36 h in SGF, and about 50% of the insulin could be released from the nanoparticles in SIF, whereas more than 80% was released in SCF. In addition, the solution containing insulin nanoparticles could effectively reduce the blood glucose level of diabetic mice. The cytotoxicity test showed that the samples had no cytotoxicity. CMC-HP-β-CD nanoparticles are promising candidates as potential carriers in oral insulin delivery systems. | 宋豪源 马晓玲 XIONG Fuliang HONG Hui LI Chunfu LI Lianghong WU Shanshan ZHANG Xueqiong 张娟 胡建华 | 2016 | Journal of Wuhan University of Technology(Materials Science)2016，31，6： | 3 |
| 6 | Design of mixed H-two/H-infinity optimal control systems using multiobjective differential evolution algorithm显示文摘In this paper, the mixed H-two/H-infinity control synthesis problem is stated as a multiobjective opti-mization problem, with objectives of minimizing the H-two and H-infinity norms simultaneously. Instead of building a LMIs-based synthesis algorithm, a self-adaptive control parameter multiobjective differential evolution algorithm is developed directly in the controller parameters space. In the case of systems with polytopic uncertainties, the worst case norm computation is formulated as an implicit optimization problem, and the proposed self-adaptive differential evolution is employed to calculate the worst case H-two and H-infinity norms. The numerical examples illustrate the power and validity of the proposed approach for the mixed H-two/H-infinity control multiobjective optimal design. | Lianghong WU Yaonan WANG Shaowu ZHOU Xiaofang YUAN | 2013 | 控制理论与应用(英文版)2013，11，3： | 2 |
| 7 | Multi-objective Self-adaptive differential Evolution with Elitist Archive and Crowding Entropy-based Diversity Measure显示文摘 | Wang Yaonan Wu Lianghong Yuan Xiaofang | 2010 | Soft Computing2010，14，3： | 1 |
| 8 | Muhi-objective optimization of HEV fuel economy and emissions using the self-adaptive differential evolution algorithm 显示文摘 | WU Lianghong WANG Yaonan YUAN Xiaofang | 2011 | IEEE Transactions on Vehicular Technology2011，60，6： | 1 |
| 9 | Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure显示文摘 | Wang Yaonan Wu Lianghong Yuan Xiaofang | 2010 | Soft Compute2010，，： | 1 |
| 10 | SVM- based approximate model control for electronic throttle valve显示文摘 | Yuan Xiaofang Wang Yaonan Wu Lianghong | 2008 | IEEE Transactions on Vehicular Technology2008，57，5： | 1 |
| 11 | Multiobjective optimization of HEV fuel economy and emissions using the self-adaptive differential evolution algorithm显示文摘 | WU Lianghong WANG Yaonan YUAN Xiaofang | 2011 | IEEE Transactions on Vehicular Technology2011，60，6： | 1 |
| 12 | Structure design and numerical simulation of novel supersonic swirling separator显示文摘 | Wen Chuang Cao XueWen Wu LiangHong | 2010 | Zhongguo Shiyou Daxue Xuebao2010，34，4： | 1 |
| 13 | Multi-objective optimization of HEV fuel economy and emissions using the self-adaptive differential evolution algorithm显示文摘 | Wu Lianghong Wang Yaonan Yuan Xiaofang | 2011 | IEEE Transactions on Vehicular Technology2011，60，6： | 1 |
| 14 | Multi-objective optimization of HEV fuel economy and emissions using the self-adaptive differential evolution algorithm显示文摘 | Wu Lianghong Wang Yaonan Yuan Xiaofang | 2011 | IEEE Transactions on Vehicular Technology2011，60，6： | 1 |
| 15 | A cloud model based fruit fly optimization algorithm显示文摘 | Lianghong Wu Cili Zuo Hongqiang Zhang | 2015 | Knowledge-Based Systems2015，89，： | 1 |
| 16 | Changes of glacial lakes and implications in Tian Shan, central Asia, based on remote sensing data from 1990 to 2010显示文摘 | Xin Wang Yongjian Ding Shiyin Liu Lianghong Jiang Kunpeng Wu Zongli Jiang Wanqin Guo | 2013 | Environmental Research Letters2013，，4： | 1 |
| 17 | Multiob- jective optimization of HEV fuel economy and emissions u- sing the self-adaptive differential evolution algorithm 显示文摘 | Wu Lianghong Wang Yaonan Yuan Xiaofang | 2011 | IEEE Transactions on Vehicular Technology2011，60，6： | 1 |
| 18 | Correlation between Vascular Calcification and Serum Sclerostin in MHD Patients显示文摘Objective Investigate the correlation between serum sclerostinlevel and chronic kidney disease-mineral and bone disorder(CKD-MBD),especially vascular calcification,in maintenance hemodialysis(MHD)patients.Methods This is across-sectional study,a total of 72 MHD patients were included from the first affiliated hospital of Jinan university.Measure the biochemical indicators of mineral metabolism,renal function,and serum sclerostin level by ELISA.The abdominal aorta calcification score(AACS)was assessed according to Kauppila method on lateral spine imaging using DEXA.Patients were distributed into two groups according to the level of serum sclerostin:low sclerostingroup(≤125 pg/ml)and high sclerostingroup(>125 pg/ml).Analyze the association of serum sclerostin level with the indicators of CKD-MBD.Results There was significant difference in i PTH level between high sclerost in group and low sclerost in group.Multivariate Logistic regression analysis demonstrated that dialysis duration,male and anuria were independent risk factor of high sclerostin level,and i PTH and Kt/V were protective factors.Conclusion Dialysis duration,man,anuria was independent risk factors and i PTH,Kt/V were protective factors of high serum sclerostin level in MHD patients.There was no correlation between abdominal aorta calcification and serum sclerostin level. | Yangyang Zhang Shufei Zeng Chen Yun Lifeng Yang Fanna Liu Guanmin Wu Taksui Wong Bo Hu Xiangnan Dong Folan Li Yu Chen Peitian Yang Aiyun Cha Huanhuan Liu Mingming Ma B.Hocher W. Pommer Huiyuan Zheng Tong Liu Zuhui Chen Lianghong Yin | 2017 | 临床医学工程2017，24，S1： | 0 |
| 19 | Peritoneal Dialysis: Prospects and Challenges显示文摘There are 3 kinds of Renal Replacement Therapy:hemodialysis,peritoneal dialysis and kidney transplantation.Although a kidney transplant would be the best solution,organ donations are limited and the transplanted organs can be rejected by the body.Hemodialysis is a widely recognized and near-universally available treatment method,however,the patient must make at least 3 weekly visits to a hospital to undergo treatment,with each session lasting on average around 4 hours.Consequently this can have an impact on the patients’life,including work and travel.Since the clinical populariza- | Lifeng Yang Jun Ke Jie Huang Hongwei Hu Shaofeng Huang Jie Shu Bo Hu Aiyun Cha Xiangnan Dong Guanmin Wu Fanna Liu Yu Chen Huanhuan Liu Mingming Ma Taksui Wong Lianghong Yin Chen Yun Shufei Zeng Baozhang Guan Zuhui Chen | 2017 | 临床医学工程2017，24，S1： | 0 |
| 20 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
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