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| 1 | Secretory/releasing proteome-based identification of plasma biomarkers in HBV-associated hepatocellular carcinoma显示文摘For successful therapy, hepatocellular carcinoma (HCC) must be detected at an early stage. Herein, we used a proteomic approach to analyze the secretory/releasing proteome of HCC tissues to identify plasma biomarkers. Serum-free conditioned media (CM) were collected from primary cultures of cancerous tissues and surrounding noncancerous tissues. Proteomic analysis of the CM proteins permitted the identification of 1365 proteins. The enriched molecular functions and biological processes of the CM proteins, such as hydrolase activity and catabolic processes, were consistent with the liver being the most important metabolic organ. Moreover, 19% of the proteins were characterized as extracellular or membrane-bound. For validation, secretory proteins involved in transforming growth factor-β signaling pathways were validated in plasma samples. Alphafetoprotein (AFP), metalloproteinase (MMP)1, osteopontin (OPN), and pregnancy-specific beta-1-glycoprotein (PSG)9 were significantly increased in HCC patients. The overall performance of MMP1 and OPN in the diagnosis of HCC remained greater than that of AFP. In addition, this study represents the first report of MMP1 as a biomarker with a higher sensitivity and specificity than AFP. Thus, this study provides a valuable resource of the HCC secretome with the potential to investigate serological biomarkers. MMP1 and OPN could be used as novel biomarkers for the early detection of HCC and to improve the sensitivity of biomarkers compared with AFP. | YANG Lei RONG WeiQi XIAO Ting ZHANG Ying XU Bin LIU Yu WANG LiMing WU Fan QI Jun ZHAO XiuYing WANG HongXia HAN NaiJun GUO SuPing WU JianXiong GAO YanNing CHENG ShuJun | 2013 | Science China(Life Sciences)2013，56，7： | 9 |
| 2 | Intellicise communication system: model-driven semantic communications显示文摘As one of the critical technologies for the 6 th generation mobile communication system(6 G) mobile communication systems, artificial intelligence(AI) technology will provide complete automation for connecting the virtual and physical worlds. In order to construct the future ubiquitous intelligent network, people are beginning to rethink how mobile communication systems transmit and exploit intelligent information. This paper proposes a new communication paradigm, called the Intellicise communication system: model-driven semantic communication. Intellicise communication system is built on top of the traditional communication system and innovatively adds a new feature dimension on top of the traditional source coding, which enables the communication system to evolve from the traditional transmission of bit to the transmission of 'model'. Like the semantic base(Seb) for semantic communication, the model is considered as the new feature obtained from the joint source-channel coding. The sink node can re-construct the original signal based on the received model and the encoded sequence. In addition, the performance evaluation metrics and the implementation details of the Intellicise communication system are discussed in this paper. Finally, preliminary results of model-driven image transmission in the Intellicise communication system are presented. | Zhang Ping Xu Xiaodong Dong Chen Han Shujun Wang Bizhu | 2022 | The Journal of China Universities of Posts and Telecommunications2022，29，1： | 6 |
| 3 | Evolution Toward Artificial Intelligence of Things Under 6G Ubiquitous⁃X显示文摘With the evolution of cellular networks,6G is a promising technology to provide ubiquity of communications,computing,control,and consciousness(UC4)for“human⁃machine⁃thing⁃genie”and build a ubiquitous intelligent mobile society.Genie,which can act as the artificial intelligence assistance for 6G users,is the key enabler to realize the unprecedented transformation from mobile Internet to network of intelligence.While Internet of Things(IoT)is the digital nervous system,genie acts like the brain of the overall system.Supported by 6G,IoT will step into the Artificial Intelligence of Things(AIoT)era and the AIoT networks have the abilities of intelligent perception,intelligent analysis,and intelligent control.In this paper,the concept of Ubiquitous⁃X is introduced,which is considered as the fundamental architecture of 6G network,and the definition and architecture of AIoT under Ubiquitous⁃X is also presented.Several major technical challenges posed by the service requirements of novel AIoT applications are pinpointed,including massive and intelligent connectivity,efficient computing,security,privacy,authentication,high scalability and efficiency.Potential enabling technologies to support seamless service experiences across terminals to realize AIoT are introduced as well. | Ping Zhang Xiaodong Xu Xiaoqi Qin Yiming Liu Nan Ma Shujun Han | 2020 | Journal of Harbin Institute of Technology(New Series)2020，27，3： | 4 |
| 4 | Coupling effects of urea types and subsoiling on nitrogen–water use and yield of different varieties of maize in northern China显示文摘 | Hengyu Hu Tangyuan Ning Zengjia Li Huifang Han Zongzheng Zhang Shujun Qin Yanhai Zheng | 2013 | Field Crops Research2013，，： | 2 |
| 5 | Growth, structure and upconversion mechanisms of Ba_2ErCl_7 crystal显示文摘The methods to grow a novel upconversion crystal Ba2ErCI7 are reported in this note. Ba2ErCI7 material was synthesized with Er2O3, BaCI2-2H2O and NH4CI by using a so-called 'direct synthesis method'. High quality Ba2ErCI7 single crystals with size up to 4 mm×8 mm×15 mm were grown by using the Czochralski and the Bridgman methods. Intense yellow-green luminescence was detected when the crystal was pumped by an 803 laser diode (LD). Transmittance spectrum was measured by using HITACH U-3500 spectrophotometer at room temperature for the first time, in which one can see that the transmittance is high in the range from 350 to 1 600 nm and the cut-off wavelength of the crystal was 230 nm. The upconversion mechanisms were discussed. | HAN Jianru, ZHOU Guangyong, ZHANG Shujun, CHENG Zhenxiang & CHEN HuanchuState Key Laboratory of Crystal Materials, Institute of Crystal Materials of Shandong University, Jinan 250100, China | 2000 | Chinese Science Bulletin2000，45，11： | 2 |
| 6 | Analysis on the physical properties of ginger (Zingiber officinale) slices dried by hot-air & microwave fluidization 显示文摘 | Lu Weiqiao Han Qinghua Li Shujun | 2014 | International Agricultural Engineering Journal2014，23，3： | 1 |
| 7 | Seawater desalination program for comprehensive utilization of concentrated seawater显示文摘 | Cui Shujun Han Huiru Deng Huining Yuan Junsheng | | 0，，01： | 1 |
| 8 | Evaluation of Multidisciplinary Collaborative Care in Patients with Acute Coronary Syndrome and Depression and/or Anxiety Disorders显示文摘Objective:To evaluate the effect of multidisciplinary collaborative care(MCC)in patients with both acute coronary syndrome(ACS)and depression and/or anxiety disorders compared with usual physician care(UPC).Methods:Depression and/or anxiety were screened by using SDS and SAS,ACS patients with depression and/or anxiety disorders were randomized into MCC and UPC groups.The cardiac outcomes and the life quality were evaluated at1year follow-up.Results:Overall,30.19%(96/318)patients had positive screen results.At1year,Cardiac outcome measures for patients in MCC group were significantly better for composite events of cardiac death and non-fatal MI(6.12% vs23.40%,p=0.016),cardiac function(NYHA functional classifi cation III or IV,0% vs 25%,p=0.05),and angina pectoris(21.28% vs 85%,p<0.0005),than patients in UPC group;the life quality were improved in patients in MCC group.Conclusion:After ACS,30.19% of patients had depression and/or anxiety disorders,MCC had better effects on cardiac outcomes and quality of life in ACS patients with Psychiatric disorders. | Feng Liang Xiuhua Ma Liuzhuang Zhao Chengwei Xing Xin Li Dongjing Zhao Da-Yi Hu Shuoqiang Hu Wenbin Wang Lantang Han Shujun Cao Huifang Liu Zhengyu Bian | 2017 | Cardiovascular Innovations and Applications2017，，B05： | 1 |
| 9 | Review and Classification of Bio-inspired Algorithms and Their Applications显示文摘Scientists have long looked to nature and biology in order to understand and model solutions for complex real-world problems.The study of bionics bridges the functions,biological structures and functions and organizational principles found in nature with our modem technologies,numerous mathematical and metaheuristic algorithms have been developed along with the knowledge transferring process from the lifeforms to the human technologies.Output of bionics study includes not only physical products,but also various optimization computation methods that can be applied in different areas.Related algorithms can broadly be divided into four groups:evolutionary based bio-inspired algorithms,swarm intelligence-based bio-inspired algorithms,ecology-based bio-inspired algorithms and multi-objective bio-inspired algorithms.Bio-inspired algorithms such as neural network,ant colony algorithms,particle swarm optimization and others have been applied in almost every area of science,engineering and business management with a dramatic increase of number of relevant publications.This paper provides a systematic,pragmatic and comprehensive review of the latest developments in evolutionary based bio-inspired algorithms,swarm intelligence based bio-inspired algorithms,ecology based bio-inspired algorithms and multi-objective bio-inspired algorithms. | Xumei Fan William Sayers Shujun Zhang Zhiwu Han Luquan Ren Hassan Chizari | 2020 | Journal of Bionic Engineering2020，17，3： | 1 |
| 10 | The malignant phenotype-associated microRNA in gastroenteric, hepatobiliary and pancreatic carcinomas显示文摘 | Liu Hong Yu Han Shujun Li Jianjun Yang Jianyong Zheng Hongwei Zhang Qingchuan Zhao Kaichun Wu Daiming Fan | 2010 | Expert Opinion on Biological Therapy2010，，12： | 1 |
| 11 | Knowledge-enhanced semantic communication system with OFDM transmissions显示文摘As a promising technology to enable effective multi-modal transmission over wireless channels,semantic communication has attracted a lot of attention from academics and industries.Different from Shannon’s information theory,based on common background knowledge provided by the knowledge base,the goal of semantic communication is transmitting intended useful information from the transmitter and recovered by the receiver at the semantic level.However,the existing studies on semantic communication rarely emphasize the essence and the usage of the knowledge base.In this paper,we propose a knowledge-enhanced semantic communication(KESC)system,where the knowledge base is cloud-edge-device collaborative cached.To solve the problem that float-type symbols are difficult to transmit directly through a radio frequency(RF)system,we adopt orthogonal frequency division multiplexing(OFDM)to transmit semantic vectors directly without some traditional signal processing techniques in semantic information transmission,and the semantic pilot is designed to assist semantic reception.Furthermore,we formulate a multi-encoder transformer based neural network model for the KESC system to support text transmission(KESC-T),where the decoder is implemented with a knowledge graph to enhance the performance of semantic decoding.Besides,we define knowledge-enhanced efficiency(KEE)to measure the gain in semantic recovery accuracy brought by per unit of knowledge.Simulation results demonstrate that the recovery accuracy of our proposed KESC outperforms the compared scheme,especially in low signal-to-noise ratio(SNR)or resource-constrained scenarios. | Xiaodong XU Huachao XIONG Yining WANG Yue CHE Shujun HAN Bizhu WANG Ping ZHANG | 2023 | Science China(Information Sciences)2023，66，7： | 1 |
| 12 | The balance of contradictory factors in the selection of biodiesel and jet biofuels on algae fixation of flue gas显示文摘The purpose would discover the impacts of the contradictory factors in application of algae in CO_(2) sequestration with sustainable biofuel benefit. Based on LCA approach, the quantitively AI assessment model and approach have been established coupling upstream CO_(2) source and downstream algal product at the uniform algae level of Nannochloropsis oceanica, which would benefit for algae biofuel deliverables choice. The AI model investigated the effects of interaction factors on the energy consumption, including transportation distances with purification modes coupling with CO_(2) concentration in flue gas, lipid content with specific productivity coupling the nutrient supply, refining process with final products. Computational framework of AI model is classified into three submodels, including CO_(2) capture and purification model, algae cultivation and harvesting model, refining process and biofuel product model. According to uncertainty analysis by AI model, the positive energy gains have been conducted at a wide range of lipid contents despite of jet biofuel or biodiesel coupling solar energy utilization and by-product of bioactive nutrients effects. Biodieselwet and HTL-HRJ jet biofuel performed the priorities in energy consumption in three pathways of jet biofuel and three pathways of biodiesels. The allocation analysis confirmed that algae biofuel will be promising in the direction of cultivating appropriate algae for the target biofuel product requirement and enhancing by-product recovery. The results would enhance the interests in both LCA and CO_(2) sequestration with sustainable biofuel benefit. | Ziyu Liu Chaozong Liu Shujun Han Xiaoyi Yang | 2022 | Energy and AI2022，9，3： | 1 |
| 13 | Coupling effects of urea types and subsoiling on nitrogen–water use and yield of different varieties of maize in northern China显示文摘 | Hengyu Hu Tangyuan Ning Zengjia Li Huifang Han Zongzheng Zhang Shujun Qin Yanhai Zheng | 2013 | Field Crops Research2013，，： | 1 |
| 14 | Plant genetic engineering and genetically modified crop breeding: history and current status显示文摘This review charts the major developments in the genetic manipulation of plant cells that have taken place since the first gene transfer experiments using Ti plasmids in 1983. Tremendous progress has been made in both our scientific understanding and technological capabilities since the first genetically modified(GM)crops were developed with single gene resistances to herbicides, insects, viruses, and the silencing of undesirable genes. Despite opposition in some parts of the world, the area planted with first generation GM crops has grown from 1.7 Mhm^2 in 1996 to 179.7 Mhm^2 in 2015.The toolkit available for genetic modification has expanded greatly since 1996 and recently Nobel Laureates have called on Greenpeace to end their blanket opposition,and plant scientists have urged that consideration be given to the benefits of GM crops based on actual evidence. It is now possible to use GM to breed new crop cultivars resistant to a much wider range of pests and diseases, and to produce crops better able to adapt to climate change.The advent of new CRISPR-based technologies makes it possible to contemplate a much wider range of improvements based on transfer of new metabolic pathways and traits to improve nutritional quality, with a much greater degree of precision. Use of GM, sometimes in conjunction with other approaches, offers great opportunities for improving food quality, safety, and security in a changing world. | Xingchun WANG Shujun CHANG Jie LU Rupert FRAY Don GRIERSON Yuanhuai HAN | 2017 | Frontiers of Agricultural Science and Engineering2017，4，1： | 1 |
| 15 | Chemically derived graphene quantum dots for high-strain sensing显示文摘Graphene quantum dots(GQDs)refer to graphene fragments with a lateral dimension typically less than 100 nm,which possess unique electrical and optical properties due to the quantum confinement effect.In this study,we demonstrate that chemically derived graphene quantum dots show great potential for making highly stretchable and cost-effective strain sensors via an electron tunneling mechanism.Stretch-able strain sensors are critical devices for the field of flexible or wearable electronics which are expected to maintain function up to high strain values(>30%).However,strain sensors based on conventional materials(i.e.metal or semiconductors)or metal nanoparticles(e.g.gold or silver nanoparticles)only work within a small range of strain(i.e.the former have a working range<1%and the latter<3%).In this study,by simply dropcasting solution-processed GQDs between the interdigitated electrodes on polydimethylsiloxane,we obtained devices that can function in the range from 0.06%to over 50%ten-sile strain with both the sensitivity and working range conveniently adjustable by the concentration of GQDs applied.This study provides a new concept for practical applications of GQDs,revealing the poten-tial of this material for smart applications such as artificial skin,human-machine interfaces,and health monitoring. | Shujun Wang Francesco Lenzini Dechao Chen Philip Tanner Jisheng Han David Thiel Mirko Lobino Qin Li | 2023 | Journal of Materials Science & Technology2023，，10： | 1 |
| 16 | In vitro Biological Effects of Ti2448 Alloy Modified by Micro-arc Oxidation and Alkali Heatment显示文摘The purpose of this study was to test the hypothesis that the combination of micro-arc oxidation and alkali heatment (MAH) would improve the cytocompatibility of a newly designed Ti-24Nb-4Zr-8Sn alloy.In this study,commercially pure titanium (cp Ti) and Ti-24Nb-4Zr-8Sn were used.Surface modification of Ti-24Nb4Zr-8Sn by a two-step treatment of micro-arc oxidation (MAO) and alkali heatment was reported.Surface characterizations were performed by scanning electron microscopy (SEM),thin film X-ray diffraction (TF-XRD) and X-ray photoelectron spectroscopy (XPS).The MAH layer consisted of finer crystals and possessed a higher degree of crystallity and stability than the MAO layer.A biocompatibility study on treated and untreated Ti24Nb-4Zr-8Sn in comparison with cp Ti was carried out to investigate the effect of the different surfaces on the bone integration property in vitro.The cellular assays revealed that the MAO and MAH layer favored the initial adhesion of MC3T3-E1 cells and that the growth rate of MC3T3-E1 cells on MAH layer was significantly higher than that on the conventional MAO-treated layer after 3-day and 5-day incubation,demonstrating the greater potential of the hybrid treatment of micro-arc oxidation followed with alkali heatment as a novel surface modification method for implanting materials. | Xue Han Hongchen Liu Dongsheng Wang Shujun Li Rui Yang Xiaojie Tao Xiaohong Jiang | 2011 | Journal of Materials Science & Technology2011，27，4： | 1 |
| 17 | Altered vaginal eukaryotic virome is associated with different cervical disease status显示文摘Viruses are important components of the human body.Growing evidence suggests that they are engaged in the physiology and disease status of the host.Even though the vaginal microbiome is involved in human papillomavirus(HPV)infection and cervical cancer(CC)progression,little is known about the role of the vaginal virome.In this pilot exploratory study,using unbiased viral metagenomics,we aim to investigate the vaginal eukaryotic virome in women with different levels of cervical lesions,and examine their associations with different cervical disease status.An altered eukaryotic virome was observed in women with different levels of lesions and Lactobacillus profiles.Anelloviruses and papillomaviruses are the most commonly detected eukaryotic viruses of the vaginal virome.Higher abundance and richness of anelloviruses and papillomaviruses were associated with lowgrade squamous intraepithelial lesion(LSIL)and CC.Besides,higher anellovirus abundance was also associated with lactobacillus-depleted microbiome profiles and bacterial community state(CST)type IV.Furthermore,increased correlations between Anelloviridae and Papillomaviridae occurred in the women with increased cervical disease severity level from LSIL to CC.These data suggest underlying interactions between different microbes as well as the host physiology.Higher abundance and diversity of both anelloviruses and papillomaviruses shared by LSIL and CC suggest that anellovirus may be used as a potential adjunct biomarker to predict the risk of HPV persistent infection and/or CC.Future studies need to focus on the clinical relevance of anellovirus abundance with cervical disease status,and the evaluation of their potential as a new adjunct biomarker for the prediction and prognoses of CC. | Yanpeng Li Le Cao Xiao Han Yingying Ma Yanmei Liu Shujun Gao Chiyu Zhang | 2023 | Virologica Sinica2023，38，2： | 0 |
| 18 | Start-up of PN-anammox system under low inoculation quantity and its restoration after low-loading rate shock显示文摘Partial nitritation(PN)-anaerobic ammonium oxidation(anammox)is a promising pathway for the biological treatment of wastewater.However,the destruction of the system caused by excessive accumulation of nitrate in long-term operation remains a challenge.In this study,PNanammox was initialized with low inoculation quantity in an air-lift reactor.The nitrogen removal rate of 0.71 kgN/(m^(3)·d)was obtained,which was far higher than the seed sludge(0.3 kgN/(m^(3)·d)).Thereafter,excess nitrate build-up was observed under low-loading conditions,and recovery strategies for the PN-anammox system were investigated.Experimental results suggest that increasing the nitrogen loading rate as well as the concentration of free ammonium failed to effectively suppress the nitrite oxidation bacteria(NOB)after the PN-anammox system was disrupted.Afterwards,effluent back-flow was added into the reactor to control the up-flow velocity.As a result,an aggressive discharge of sludge that promoted the synergetic growth of functional bacteria was achieved,leading to the successful restoration of the PN-anammox system.The partial nitritation and anammox activity were in balance,and an increase in nitrogen removal rate up to 1.07 kgN/(m^(3)·d)was obtained with a nitrogen removal efficiency of 82.4%after recovery.Besides,the proportion of granular sludge(over 200 mm)increased from 33.67%to 82.82%.Ammonium oxidation bacteria(AOB)along with anammox bacteria were enriched in the granular sludge during the recovery period,which was crucial for the recovery and stable operation of the PN-anammox system. | Guoliang Zhang Liang Zhang Xiaoyu Han Shujun Zhang Yongzhen Peng | 2021 | Frontiers of Environmental Science & Engineering2021，15，2： | 0 |
| 19 | Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning显示文摘Objective.To develop an artificial intelligence method predicting lymph node metastasis(LNM)for patients with colorectal cancer(CRC).Impact Statement.A novel interpretable multimodal AI-based method to predict LNM for CRC patients by integrating information of pathological images and serum tumor-specific biomarkers.Introduction.Preoperative diagnosis of LNM is essential in treatment planning for CRC patients.Existing radiology imaging and genomic tests approaches are either unreliable or too costly.Methods.A total of 1338 patients were recruited,where 1128 patients from one centre were included as the discovery cohort and 210 patients from other two centres were involved as the external validation cohort.We developed a Multimodal Multiple Instance Learning(MMIL)model to learn latent features from pathological images and then jointly integrated the clinical biomarker features for predicting LNM status.The heatmaps of the obtained MMIL model were generated for model interpretation.Results.The MMIL model outperformed preoperative radiology-imaging diagnosis and yielded high area under the curve(AUCs)of 0.926,0.878,0.809,and 0.857 for patients with stage T1,T2,T3,and T4 CRC,on the discovery cohort.On the external cohort,it obtained AUCs of 0.855,0.832,0.691,and 0.792,respectively(T1-T4),which indicates its prediction accuracy and potential adaptability among multiple centres.Conclusion.The MMIL model showed the potential in the early diagnosis of LNM by referring to pathological images and tumor-specific biomarkers,which is easily accessed in different institutes.We revealed the histomorphologic features determining the LNM prediction indicating the model ability to learn informative latent features. | Hailing Liu Yu Zhao Fan Yang Xiaoying Lou Feng Wu Hang Li Xiaohan Xing Tingying Peng Bjoern Menze Junzhou Huang Shujun Zhang Anjia Han Jianhua Yao Xinjuan Fan | 2022 | Biomedical Engineering Frontiers2022，3，1： | 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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