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| 1 | Homocysteine-mediated cholesterol efflux via ABCA1 and ACAT1 DNA methylation in THP-1 monocyte-derived foam cells显示文摘Homocysteine (Hcy ) 为心血管的事件作为一个流行风险因素被认出了。装载胆固醇的泡沫房间是动脉粥样硬化患者损害的一个中央部件。ATP 有约束力的盒子 transporter A1 (ABCA1 ) 它调停细胞的胆固醇和 phospholipids 的流出,是在类脂化合物的限制率的步新陈代谢。酰辅酶 A:cholesterol acyltransferase-1 (ACAT1 ) 在巨噬细胞支持胆固醇酉旨的累积,从而导致泡沫房间形成,在动脉粥样硬化的早舞台的一个特点。在这研究,有教养的导出单核白血球的泡沫房间为 24 h 与 Hcy 的临床的相关集中被孵化。胆固醇的房间和累积被发现的泡沫的两个都增加的数字,和 ABCA1 的 mRNA 和蛋白质表示层次被减少,当 ACAT1 表示面对 Hcy 被增加时。而且,而 ACAT1 DNA methylation 被使用 Hcy 的不同集中减少, ABCA1 基因的 DNA methylation 水平被增加。而且,我们的结果显示出那项 DNA methyltransferase (DNMT ) 活动和 DNA methyltransferase 1 (DNMT1 ) mRNA 表示被 Hcy 增加。DNA methylation 有功能经由 DNMT 调整 ABCA1 和 ACAT1 的表示,这被显示。在结论,这些结果建议 Hcy 导致的 ABCA1 和 ACAT1 DNA methylation 可以在导出单核白血球的泡沫房间在 ABCA1 和 ACAT1 表示和胆固醇的累积起一个潜在的作用。 | Yu Liang Xiaoling Yang Linna Ma Xin Cai Lei Wang Cheng Yang Guizhong Li Minghao Zhang Weiwei Sun Yideng Jiang | 2013 | Acta Biochimica et Biophysica Sinica2013，45，3： | 26 |
| 2 | A Strigolactone Biosynthesis Gene Contributed to the Green Revolution in Rice显示文摘Plant architecture is a complex agronomic trait and a major factor of crop yield,which is affected by several important hormones.Strigolactones(SLs)are identified as a new class hormoneinhibiting branching in many plant species and have been shown to be involved in various developmental processes.Genetical and chemical modulation of the SL pathway is recognized as a promising approach to modify plant architecture.However,whether and how the genes involved in the SL pathway could be utilized in breeding still remain elusive.Here,we demonstrate that a partial loss-of-function allele of the SL biosynthesis gene,HIGH TILLERING AND DWARF 1/DWARF17(HTD1/D17),which encodes CAROTENOID CLEAVAGE DIOXYGENASE 7(CCD7),increases tiller number and improves grain yield in rice.We found that the HTD1 gene had been widely utilized and co-selected with Semidwarf 1(SD1),both contributing to the improvement of plant architecture in modern rice varieties since the Green Revolution in the 1960s.Understanding how phytohormone pathway genes regulate plant architecture and how they have been utilized and selected in breeding will lay the foundation for developing the rational approaches toward improving crop yield. | Yuexing Wang Lianguang Shang Hong Yu Longjun Zeng Jiang Hu Shen Ni Yuchun Rao Sanfeng Li Jinfang Chu Xiangbing Meng Lei Wang Ping Hu Jijun Yan Shujing Kang Minghao Qu Hai Lin Tao Wang Quan Wang Xingming Hu Hongqi Chen Bing Wang Zhenyu Gao Longbiao Guo Dali Zeng Xudong Zhu Guosheng Xiong Jiayang Li Qian Qian | 2020 | Molecular Plant2020，13，6： | 23 |
| 3 | Characteristics,sources and health risks assessment of VOCs in Zhengzhou,China during haze pollution season显示文摘Zhengzhou is one of the most haze-polluted cities in Central China with high organic carbon emission,which accounts for 15%-20%of particulate matter(PM_(2.5))in winter and causes significantly adverse health effects.Volatile organic compounds(VOCs)are the precursors of secondary PM_(2.5)and O_(3)formation.An investigation of characteristics,sources and health risks assessment of VOCs was carried out at the urban area of Zhengzhou from 1^(st) to 31^(st) December,2019.The mean concentrations of total detected VOCs were 48.8±23.0 ppbv.Alkanes(22.0±10.4 ppbv),halocarbons(8.1±3.9 ppbv)and aromatics(6.5±3.9 ppbv)were the predominant VOC species,followed by alkenes(5.1±3.3 ppbv),oxygenated VOCs(3.6±1.8 ppbv),alkyne(3.5±1.9,ppbv)and sulfide(0.5±0.9 ppbv).The Positive Matrix Factorization model was used to identify and apportion VOCs sources.Five major sources of VOCs were identified as vehicular exhaust,industrial processes,combustion,fuel evaporation,and solvent use.The carcinogenic and non-carcinogenic risk values of species were calculated.The carcinogenic and non-carcinogenic risks of almost all air toxics increased during haze days.The total non-carcinogenic risks exceeded the acceptable ranges.Most VOC species posed no non-carcinogenic risk during three haze events.The carcinogenic risks of chloroform,1,2-dichloroethane,1,2-dibromoethane,benzyl chloride,hexachloro-1,3-butadiene,benzene and naphthalene were above the acceptable level(1.0×10^(-6))but below the tolerable risk level(1.0×10^(-4)).Industrial emission was the major contributor to non-carcinogenic,and solvent use was the major contributor to carcinogenic risks. | Dong Zhang Bing He Minghao Yuan Shijie Yu Shasha Yin Ruiqin Zhang | 2021 | Journal of Environmental Sciences2021，33，10： | 10 |
| 4 | Scalable microfabrication of three-dimensional porous interconnected graphene scaffolds with carbon spheres for high-performance all carbon-based micro-supercapacitors显示文摘As one of the most important micro energy storage devices(MESDs),graphene-based micro-supercapacitors(G-MSCs)possess the advantages of excellent flexibility,long cycle life,affordability and high reliability.In most cases,constructing three-dimensional(3D)graphene networks is widely utilized to promote the permeation of electrolyte and enhance the utilization of active materials.In this work,conventional freeze-drying process is utilized in the fabrication of G-MSCs to constitute 3D interconnected networks micro-electrodes,and further by regulating the composition of inks,carbon spheres(CSs)at different mass loadings are introduced into the graphene scaffolds to further increase the active sites of the micro-electrodes.The fabricated all carbon-based MSC with the optimal mass loading of CSs(0.406 mg cm^(-2))exhibits a high specific areal capacitance of 17.01mF cm^(-2)at the scan rate of 10mV s^(-1)and a capacitance retention of 93.14%after 10000 cycles at the scan rate of 500 mV s^(-1).The proposed microfabrication process is facile and fully compatible with modern microtechnologies and will be highly suitable for large-scale production and integration. | Yiming Chen Minghao Guo Liang He Wei Yang Lin Xu Jiashen Meng Xiaocong Tian Xinyu Ma Qiang Yu Kaichun Yang Xufeng Hong Liqiang Mai | 2019 | Journal of Materiomics2019，5，2： | 6 |
| 5 | Effects of Angular Fillers on Thermal Runaway of Lithium-Ion Battery显示文摘By adding 1 wt% damage homogenizer(DH), i.e. carbon black microparticles, into the electrodes of lithiumion batteries, thermal runaway can be mitigated as the battery cells are subjected to impact loadings. In a drop tower test, the generated heat of the modified cells is reduced by nearly 40%, compared with the reference cells. This phenomenon may be attributed to the weakening effect of the carbon black fillers.The shape of the filler grains does not have a pronounced influence on the temperature profile. | Meng Wang Anh V.Le Yang Shi Daniel J.Noelle Hyojung Yoon Minghao Zhang Y.Shirley Meng Yu Qiao | 2016 | Journal of Materials Science & Technology2016，32，11： | 3 |
| 6 | Security and privacy in 6G networks:New areas and new challenges显示文摘With the deployment of more and more 5g networks,the limitations of 5g networks have been found,which undoubtedly promotes the exploratory research of 6G networks as the next generation solutions.These investigations include the fundamental security and privacy problems associated with 6G technologies.Therefore,in order to consolidate and solidify this foundational research as a basis for future investigations,we have prepared a survey on the status quo of 6G security and privacy.The survey begins with a historical review of previous networking technologies and how they have informed the current trends in 6G networking.We then discuss four key aspects of 6G networks–real-time intelligent edge computing,distributed artificial intelligence,intelligent radio,and 3D intercoms–and some promising emerging technologies in each area,along with the relevant security and privacy issues.The survey concludes with a report on the potential use of 6G.Some of the references used in this paper along and further details of several points raised can be found at:security-privacyin5g-6g.github.io. | Minghao Wang Tianqing Zhu Tao Zhang Jun Zhang Shui Yu Wanlei Zhou | 2020 | Digital Communications and Networks2020，6，3： | 2 |
| 7 | Experimental Investigation for Co-Combustion Characteristics of Semi-Coke and Bituminous Coal in a 3 MWth Tangential Combustion Facility显示文摘An experimental investigation was conducted in a 3 MW pilot-scale tangential combustion facility to explore the co-combustion characteristics of bituminous coal mixed with semi-coke.The thermal gravimetric analyzer(TGA)was used to obtained fuel thermal analysis.The results presented effects of semi-coke blending ratio(BR)on average furnace temperature,ignition temperature,NO emission and combustion efficiency.The excess air coefficient in main combustion sections and outlet were fixed at 0.85 and 1.2 while BR increased from 0%to 50 wt.%.The temperature profiles of combustion decreases along the height of furnace while average furnace temperature fluctuates slightly with an increasing BR.The concentration of NO has an increasing tendency with the increasing of BR.The ignition temperature obtained from TGA measurement agreed well with experiment result.In addition,combustion efficiency was not sensitive to BR and decreased slightly with the increasing BR. | GUAN Jingyu YU Qiang SUN Rui SHEN Tao WANG Minghao YAN Yanfei SONG Xin | 2020 | Journal of Thermal Science2020，29，6： | 2 |
| 8 | Thermochemical Nonequilibrium 2D Modeling of Nitrogen Inductively Coupled Plasma Flow显示文摘Two-dimensional(2D) numerical simulations of thermochemical nonequilibrium inductively coupled plasma(ICP) flows inside a 10-kW inductively coupled plasma wind tunnel(ICPWT) were carried out with nitrogen as the working gas.Compressible axisymmetric NavierStokes(N-S) equations coupled with magnetic vector potential equations were solved.A fourtemperature model including an improved electron-vibration relaxation time was used to model the internal energy exchange between electron and heavy particles.The third-order accuracy electron transport properties(3rd AETP) were applied to the simulations.A hybrid chemical kinetic model was adopted to model the chemical nonequilibrium process.The flow characteristics such as thermal nonequilibrium,inductive discharge,effects of Lorentz force were made clear through the present study.It was clarified that the thermal nonequilibrium model played an important role in properly predicting the temperature field.The prediction accuracy can be improved by applying the 3rd AETP to the simulation for this ICPWT. | YU Minghao Yusuke TAKAHASHI Hisashi KIHARA Ken-ichi ABE Kazuhiko YAMADA Takashi ABE Satoshi MIYATANI | 2015 | Plasma Science and Technology2015，17，9： | 1 |
| 9 | Oxygen‐Deficient Hematite Nanorods as High‐Performance and Novel Negative Electrodes for Flexible Asymmetric Supercapacitors显示文摘 | Xihong Lu Yinxiang Zeng Minghao Yu Teng Zhai Chaolun Liang Shilei Xie Muhammad‐Sadeeq Balogun Yexiang Tong | 2014 | Adv. Mater2014，，19： | 1 |
| 10 | Interference Adsorption Mechanisms of Dimethoate, Metalaxyl, Atrazine, Malathion and Prometryn in a Sediment System Containing Coexisting Pesticides/Heavy Metals Based on Fractional Factor Design(Resolution V) Assisted by 2D-QSAR显示文摘 | WANG Xiaolei LI Qing LI Minghao LI Yu | 2018 | Chemical Research in Chinese Universities2018，34，3： | 1 |
| 11 | Primary assessment of the diversity of Omicron sublineages and the epidemiologic features of autumn/winter 2022 COVID-19 wave in Chinese mainland显示文摘With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures,there have been widespread SARS-CoV-2 infections in Chinese mainland.Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai,identifying a large number of sublineages of the SARS-CoV-2 Omicron family.Phylogenetic analysis,coupled with contact history tracing,revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China(BA.5.2 mainly in Guangzhou and Shanghai,and BF.7 mainly in Beijing)and two highly infectious sublineages recently imported from abroad(XBB and BQ.1).Publicly available data from August 31 to November 29,2022 indicated an overall severe/critical case rate of 0.035%nationwide,while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26,2022 showed that 20 cases(0.35%)without comorbidities progressed into severe/critical conditions and 153 cases(2.68%)with COVID-19-exacerbated comorbidities progressed into severe/critical conditions.These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases.Furthermore,mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year,whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023,and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival(January 21,2023).Altogether,these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population,especially in the rural areas,to ensure the country’s smooth exit from the ongoing pandemic and accelerate socio-economic recovery. | Gang Lu Yun Ling Minghao Jiang Yun Tan Dong Wei Lu Jiang Shuting Yu Fangying Jiang Shuai Wang Yao Dai Jinzeng Wang Geng Wu Xinxin Zhang Guoyu Meng Shengyue Wang Feng Liu Xiaohong Fan Saijuan Chen | 2023 | Frontiers of Medicine2023，17，4： | 1 |
| 12 | Operando reconstruction towards stable CuI nanodots with favorable facets for selective CO_(2) electroreduction to C2H4显示文摘Cu-based electrocatalysts with favorable facets and Cu^(+)can boost CO_(2) reduction to valuable multicarbon products.However,the inevitable Cu^(+)reduction and the phase evolution usually result in poor performance.Herein,we fabricate CuI nanodots with favorable(220)facets and a stable Cu^(+)state,accomplished by operando reconstruction of Cu(OH)_(2) under CO_(2)-and I--containing electrolytes for enhanced CO_(2)-to-C_(2)H_(4) conversion.Synchrotron X-ray absorption spectroscopy(XAS),in-situ Raman spectroscopy and thermodynamic potential analysis reveal the preferred formation of CuI.Vacuum gas electroresponse and density functional theory(DFT)calculations reveal that CO_(2)-related species induce the exposure of the(220)plane of Cu I.Moreover,the small size of nanodots enables the adequate contact with I^(-),which guarantees the rapid formation of Cu I instead of the electroreduction to Cu^(0).As a result,the resulting catalysts exhibit a high C2H4 Faradaic efficiency of 72.4%at a large current density of 800 m A cm^(-2) and robust stability for 12 h in a flow cell.Combined in-situ ATR-SEIRS spectroscopic characterizations and DFT calculations indicate that the(220)facets and stable Cu^(+) in CuI nanodots synergistically facilitate CO_(2)/*CO adsorption and*CO dimerization. | Wenjie Xue Hongxia Liu Xinqing Chen Xiaoju Yang Ruoou Yang Youwen Liu Minghao Li Xuan Yang Bao Yu Xia Bo You | 2023 | Science China Chemistry2023，66，6： | 1 |
| 13 | Electrosynthesis of hydroxylamine from nitrate reduction in water显示文摘Hydroxylamine(NH_(2)OH),a vital but unstable industrial feedstock,is presently prepared under harsh conditions that cause environmental and energy concerns.Here,we report an electrochemical method to prepare oximes,which serve as precursors for NH_(2)OH after facile hydrolysis.The carbon-supported amorphous Mn electrocatalyst delivers a current density of~100 mA cm^(-2) with a Faradaic efficiency of 40.92%and a yield rate of 0.251 mmol cm^(-2)h^(-1) for formaldoxime(CH_(2)NOH)generation by using nitrate and formaldehyde as reactants.Formaldoxime can be easily released to produce NH_(2)OH via hydrolysis.Impressively,this method exhibits an economic advantage over conventional manufacturing based on techno-economic analysis.A series of control experiments,in situ characterizations,and theoretical simulations unveil the reaction mechanism via the spontaneous reaction between an aldehyde and*NH_(2)OH intermediate derived from nitrate electroreduction.The high activity of Mn originates from its inhibitory effects on the further reduction of key*NH_(2)OH intermediate.This strategy opens a sustainable and green way for NH_(2)OH synthesis under mild conditions using renewable energy. | Xianen Lan Chuanqi Cheng Chengying Guo Minghao Guo Tieliang Li Yongmeng Wu Yifu Yu Bin Zhang | 2023 | Science China Chemistry2023，66，6： | 0 |
| 14 | Dynamic Setting Method of Assessment Indicators for Power Curves of Renewable Energy Sources Considering Scarcity of Reserve Resources显示文摘With the increasing proportion of renewable energy sources(RESs)in power grid,the reserve resource(RR)scarcity for correcting power deviation of RESs has become a potential issue.Consequently,the power curve of RES needs to be more rigorously assessed.The RR scarcity varies during different time periods,so the values of assessment indicators should be dynamically adjusted.The assessment indicators in this paper include two aspects,i.e.,deviation exemption ratio and penalty price.Firstly,this paper proposes a method for dynamically calculating the supply capacity and RR cost,primarily taking into account the operating status of thermal units,forecast information of RES,and load curve.Secondly,after clarifying the logical relationship between the degree of RR scarcity and the values of assessment indicators,this paper establishes a mapping function between them.Based on this mapping function,a dynamic setting method for assessment indicators is proposed.In the future,RES will generally be equipped with battery energy storage systems(BESSs).Reasonably utilizing BESSs to reduce the power deviation of RESs can increase the expected income of RESs.Therefore,this paper proposes a power curve optimization strategy for RESs considering self-owned BESSs.The case study demonstrates that the dynamic setting method of assessment indicators can increase the revenue of RESs while ensuring that the penalty fees paid by RESs to the grid are sufficient to cover the RR costs.Additionally,the power curve optimization strategy can help RESs further increase income and fully utilize BESSs to reduce power deviation. | Minghao Cao Jilai Yu | 2024 | Journal of Modern Power Systems and Clean Energy2024，12，1： | 0 |
| 15 | Improving performance of ZnO Schottky photodetector by inserting MXenes modified-layer显示文摘The development of low-cost and high-performance ZnO Schottky photodetectors (PDs) has drawn intensive attention,but still a challenge due to their poor conductivity and low light utilization efficiency.Here,we introduce Ti_(3)C_(2)T_(X) into ZnO films to fabricate Schottky UV PDs via facile spin-coated method.The fabricated ZnO/Ti_(3)C_(2)T_(X)/ZnO compound film shows outstanding performance on photocurrent,responsivity,noise equivalent power (NEP),normalized detection rate (D~*),and linear dynamic region (LDR),compared with the original Zn O device.The photocurrent is significantly increased by 466%,and the responsivity is improved by one order of magnitude.In addition,it exhibits relatively low NEP (5.99×10^(-11)W),strong D~*(2.53×10~9 Jones),and high LDR (28 dB).The superior performance is ascribed to the enhanced conductivity and light absorption of ZnO film after introduction of Ti_(3)C_(2)T_(X) modification layer,leading to simultaneously faster electron transfer,lower the radiation recombination of electron and holes on the ZnO/Ti_(3)C_(2)T_(X)/ZnO compound film.This work provides a facile way to develop low-cost and highperformance ZnO Schottky PDs. | Cheng Wu Xinzhi Luo Xiaoming Yu Xuan Yu Kun Lin Minghao Li Zhenhua Li Yu Cao Yingtang Zhou | 2023 | Chinese Chemical Letters2023，34，7： | 0 |
| 16 | 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 |
| 17 | When liver disease diagnosis encounters deep learning:Analysis,challenges,and prospects显示文摘The liver is the second-largest organ in the human body and is essential for digesting food and removing toxic substances.Viruses,obesity,alcohol use,and other factors can damage the liver and cause liver disease.The diagnosis of liver disease used to depend on the clinical experience of doctors,which made it subjective,difficult,and time-consuming.Deep learning has made breakthroughs in various fields;thus,there is a growing interest in using deep learning methods to solve problems in liver research to assist doctors in diagnosis and treatment.In this paper,we provide an overview of deep learning in liver research using 139 papers from the last 5 years.We also show the relationship between data modalities,liver topics,and applications in liver research using Sankey diagrams and summarize the deep learning methods used for each liver topic,in addition to the relations and trends between these methods.Finally,we discuss the challenges of and expectations for deep learning in liver research. | Yingjie Tian Minghao Liu Yu Sun Saiji Fu | 2023 | iLIVER2023，2，1： | 0 |
| 18 | Structure and electrical properties of La_(2)O_(3)-doped(K,Na,Li)(Nb,Ta)O_(3)-(Bi,Na)TiO_(3) ceramics显示文摘In this paper,Lead-free based on 0.97(K_(0.48)Na_(0.48)Li_(0.04))(Nb_(0.8)Ta0.2)O_(3)-0.03Bi_(0.5)Na_(0.5)TiO_(3) with additives La_(2)O_(3)(1,2,3,4 wt.%)was prepared by the solid reaction method,and the effect of La dopant on the structural and electrical properties is investigated.The result indicates La dopant considerably decreases the optical band gap compared to the undoped composition.On the other hand,La doping leads to the higher dielectric property in a wider temperature,providing possibilities and directions for the subsequent development of ferroelectric photovoltaic materials with electrical properties and low optical band gap in a dramatical manner. | Bingsen Wang Junjun Wang Jiaqi Li Miao Yang Minghao Huang Tianyi Ma Yu Tian Fengmin Wu | 2023 | Journal of Advanced Dielectrics2023，13，2： | 0 |
| 19 | A Theoretical Study of CdTe Flat-film Thickness Impact on AM1.5G Solar Absorption显示文摘 | Minghao He Qijia Cheng Kezheng Li X.Y. Duan Hongyu Yu | 2014 | 光学应用(中英文版)2014，3，1： | 0 |
| 20 | Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization显示文摘We propose a new model based on the convolutional networks and SAX(Symbolic Aggregate Approximation)discretization to learn the representation for multivariate time series.The deep neural networks has excellent expressiveness,which is fully exploited by the convolutional networks with means of unsupervised learning.We design a network structure to obtain the cross-channel correlation with means of convolution and deconvolution,the pooling operation is utilized to perform the dimension reduction along each position of the channels.Discretization which based on the Symbolic Aggregate Approximation is applied on the feature vectors to extract the bag of features.We collect two different representations from the convolutional networks,the compression from bottle neck and the last convolutional layers.We show how these representations and bag of features can be useful for classification.We provide a full comparison with the sequence distance based approach on the standard datasets to demonstrate the effectiveness of our method.We further build the Markov matrix according to the discretized representation abstracted from the deconvolution,time series is visualized to complex networks through Markov matrix visualization,which show more class-specific statistical properties and clear structures with respect to different labels. | Wei Song Lu Liu Minghao Liu Wenxiang Wang Xiao Wang Yu Song | 2020 | 国际计算机前沿大会会议论文集2020，，1： | 0 |
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