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22篇 您的检索式:作者名="Minghao Han"
    题名 作者 年代 出处 被引量
1Estimating In-pulse Characteristics of Radar Signal Based on Multi-index显示文摘HAN Jun HE Minghao TANG Zhikai WANG Jie 2011Chinese Journal of Electronics2011,20,1:23
2A New Method for Sorting Unknown Radar Emitter Signal显示文摘Sorting rate of common method is not high and it is sensitive to the Signal noise ratio(SNR), in order to solve these problems, bispectrum two dimensions characteristics complexity is applied to sort unknown complicated radar signal and a high sorting rate would be got. The bispectrum of received signal is extracted and it is predigested to two dimensions characteristic, the box dimension and information dimension are extracted from the two dimensions characteristic and used as the sorting characteristics, and the last sorting is accomplished by using KFCM algorithm. For the bispectrum of different signal is distinguishing and it is not sensitive to SNR, the box dimension and information dimension are divisible and steady, the advantage of this new method is validated by simulation results, and the lowest sorting rate is 90% at SNR equals to 10 dB.CHEN Changxiao HE Minghao XU Jing HAN Jun 2014Chinese Journal of Electronics2014,23,3:19
3Endoplasmic reticulum oxidoreductin 1α mediates hepatic endoplasmic reticulum stress in homocysteine-induced atherosclerosis显示文摘Endoplasmic 蜂窝胃(嗯) 应力作为不同病理学的过程的一个重要调节的人并且作为贡献导致的 homocysteine (Hcy ) 的机制正在出现 hepar 损害。然而,分子的事件导致 Hcy 嗯在在动脉粥样硬化背景下面的 hepar 的应力当前是未知的。Endoplasmic 蜂窝胃 oxidoreductin (ERO1 ) 1 在维持起一个关键作用嗯压力功能。在这研究,我们在 hepacytes 在 hyperhomocysteinemia 和 ERO1 的效果在 hepar 决定了 ERO1 的表示嗯应力面对 Hcy。HHcy 模型被在 apolipoprotein-E-deficient (ApoE-/-) 喂蛋氨酸食谱建立老鼠,和 hepatocytes 与 Hcy 的叶酸、不同的集中被孵化。我们的结果证明 Hcy 被触发嗯应力描绘了由一调整葡萄糖的蛋白质的增加的内容 78 (GRP78 ) ,蛋白质 kinase 象 RNA 一样嗯 kinase (津贴) ,激活抄写因素(ATF ) 6 并且 X 盒子有约束力的 protein-1 (XBP-1 ) 。在 HHcy 老鼠和对待 Hcy 的 hepatocytes 的 ERO1 表情在 ApoE-/- 组和控制 hepacytes 与那些相比被减少(P < 0.05 ) 分别地。有小介入的 RNA 的 ERO1 的表示显著地扩充了的敲门下面导致 Hcy 嗯应力。同时,表情嗯压力相关的因素包括 GRP78,津贴, ATF6 和 XBP-1,当 ERO1 基因在 hepacytes 是过去表示的时,显著地被减少。我们的结果建议 ERO1 可以涉及导致 Hcy 的 hepar 嗯 ERO1 表示的应力,和抑制能加速这进程。Xiaoling Yang Hua Xu Yinju Hao Li Zhao Xin Cai Jue Tian Minghao Zhang Xuebo Han Shengchao Ma Jun Cao Yideng Jiang 2014Acta Biochimica et Biophysica Sinica2014,46,10:14
4Dual-Mode Induction of Tunable Circularly Polarized Luminescence from Chiral Metal-Organic Frameworks显示文摘The general approach for fabricating solid-state materials showing circularly polarized luminescence(CPL)is still in its challenge.In this work,chiral metal-organic frameworks(MOFs)with full-color and white-color circularly polarized light emission are firstly achieved through a host-guest emitter-loading strategy.Chiral zeolitic imidazolate frameworks(ZIFs,a class of MOFs)are fabricated by a facile and simple mixed-ligand coassembly pathway.Meantime,achiral dyes,quantum dots(QDs),and upconversion nanoparticles(UCNPs)are easily loaded into the chiral ZIFs during the synthetic process.Size-matched dyes can be solely encapsulated into the chiral cages of ZIF,resulting in induced CPL and enhanced luminescence efficiency in solid-state ZIF⊃dye composites.Large-sized QDs,after embedding into the gap of the ZIF particles,also exhibited intense CPL activity.Furthermore,through modulating the blending ratio of colored dyes or QDs in chiral ZIFs,white light-emitting ZIFs with circular polarization could be constructed in a solid state.In addition,through loading rare earth element-based upconversion nanoparticles(UCNPs)into chiral ZIFs,upconverted CPL(UC-CPL)could be achieved with a high dissymmetry factor(glum).Thus,various achiral luminophores were endowed with CPL upon coupling with chiral ZIFs,which significantly deepened and enlarged the research scope of the chiroptical materials in a solid state.Tonghan Zhao Jianlei Han Xue Jin Minghao Zhou Yan Liu Pengfei Duan Minghua Liu 2020Research2020,,1:8
5SINGULAR BEHAVIORS OF INTERFACIAL CRACKS IN 2D MAGNETOELECTROELASTIC BIMATERIALS显示文摘The singular characteristics of stress,electric displacement and magnetic induction fields near the tip of impermeable interfacial cracks in two-dimensional magnetoelectroelastic bimaterials are studied using the generalized Stroh formalism.Two types of singularities are ob-tained:one is the oscillating singularity 1/2±iε,the other is the non-oscillating singularity 1/2±κ.It is found that the non-zero parameters ε and κ cannot coexist for one transversely isotropic MEE bimaterial,a similar result is obtained for transversely isotropic piezoelectric bimaterials.Cuiying Fan Youhe Zhou Han Wang Minghao Zhao 2009Acta Mechanica Solida Sinica2009,22,3:5
6A Comprehensive Estimation Method for Kernel Function of Radar Signal Classifier显示文摘The current electromagnetism environment is fast changing and levity, the methods for evaluation Suppont vector machine(SVM) kernel functions which are used in radar signal recognition can not suit it. So kernel space separate, stability and parameter numbers were proposed in this paper to review the performance of kernel function, and a novel method for estimating kernel function was designed. By simulation, this novel method can estimate the performance of kernel function roundly, and can choose the best kernel function in different application demand for recognition.XU Jing HE Minghao HAN Jun CHEN Changxiao 2015Chinese Journal of Electronics2015,24,1:5
7A NOVEL METHOD FOR ESTIMATING THE SNR OF UNKNOWN EMITTER SIGNAL显示文摘It is important to estimate the Signal-to-Noise Ratio(SNR) of unknown emitter signal accurately.In order to resolve the disadvantages of present algorithm,a novel method is proposed in this letter.We extract and normalize the information of zero frequency of received signal by the Wigner-Vile Distribution(WVD) transformation and then get the approximate power of original signal by mathematic transformation,at last,we get the estimate value of SNR by the known account formula of SNR.Simulation results show that it is correct and feasible.Han Jun He Minghao Tang Zhikai Hao Yuan 2010Journal of Electronics(China)2010,27,1:4
82-D DOA Estimation Using Off-Grid Sparse Learning via Iterative Minimization with L-Parallel Coprime Array显示文摘An L-parallel coprime array is designed and an Off-grid sparse learning via iterative minimization(OGSLIM) algorithm is proposed in order to improve the performance of Two-dimensional direction-of-arrival(2-D DOA) estimation. The L-parallel coprime array consists of two parts, one is a parallel coprime array and the other one is a linear coprime array perpendicular to the parallel coprime array. The OGSLIM algorithm is based on sparse Bayesian framework and can learn the off-grid parameter. Theory analysis and simulation results demonstrate that 2-D DOA estimation using OGSLIM algorithm with L-parallel coprime array can lead to higher estimation accuracy and resolution, it also fits to the underdetermined signals and correlated signals.FENG Mingyue HE Minghao HAN Jun CHEN Changxiao 2018Chinese Journal of Electronics2018,27,6:3
9Individual aortic baroreceptors are sensitive to different ranges of blood pressures显示文摘Many receptors,including thermal receptors and mechanical receptors,are only activated by stimuli within a clearly defined range of intensities.Differences in the receptive ranges enable individual receptors and their sensory centers to precisely detect the intensity of the stimulus and changes in intensity.Baroreceptors are the sensory terminals of the baroreflex.It is well understood that an increasing number of baroreceptors are recruited to produce afferent action potentials as the blood pressure increases,indicating that individual baroreceptors have different pressure thresholds.The present study revealed that individual baroreceptors could stop their afferent signals when the blood pressure exceeds a certain level,indicating that individual baroreceptors are sensitive to a specific range of blood pressure.The receptive ranges of individual baroreceptors differ in terms of the total range,the lower threshold,and the upper threshold.Of 85 baroreceptors examined in this study,the upper thresholds for about half were within the physiological blood pressure range.These results indicate that supraphysiological blood pressure is unlikely to be encoded by the recruitment of more baroreceptors.Instead,supraphysiological blood pressure levels might be signaled by an increase in the frequency of action potentials or by other mechanisms.In conclusion,our results indicate that rabbit baroreceptors are activated by blood pressure levels within specific receptive ranges.These findings should encourage further studies to examine the role of population coding of blood pressure by baroreceptors in the baroreflex.CHEN MengJiao YANG MingHao HAN WenJuan AN ShuCheng LIU YiHui LIU ZhiQiang REN Wei 2014Science China(Life Sciences)2014,57,5:2
10A new strategy to achieve enhanced upconverted circularly polarized luminescence in chiral perovskite nanocrystals显示文摘Achieving large luminescence dissymmetry factors(pium)is challenging in the research field of circularly polarized luminescence(CPL).While various approaches have been developed to construct organic systems with CPL activity,there is still a lack of effective methods for fabricating CPL active inorganic materials.Herein,we propose an approach for endowing upconversion nanoparticles(UCNPs)and perovskite nanocrystal(PKNC)hybrid nanomaterials with upconverted circularly polarized luminescence(UC-CPL)activity.Chiral cesium lead bromides(CsPbBr_(3))PKNCs were synthesized by a chiral-ligand-assistant method.Meanwhile,UCNP could be embedded into the chiral PKNC,enabling a photon upconvesion feature to the PKNC.The embedded UCNPs in PKNCs were confirmed by electron tomography.Consequently,various CPL activities,including prompt CPL,UC-CPL,and energy transfer enhanced circularly polarized luminescence(ET-CPL),were realized.The chiral perovskite nanocrystals could reabsorb the chiral energy generated from UCNPs,showing energy transfer enhanced CPL activity with four times magnification of the circular polarization.These findings provide a meaningful strategy for designing chiral photon upconversion inorganic nanomaterials with highly efficient UC-CPL activity.Xue Jin Minghao Zhou Jianlei Han Bin Li Tianyong Zhang Shuang Jiang Pengfei Duan 2022Nano Research2022,15,2:1
11CFAR Block-Sparse Bayesian Learning Algorithm for the Off-grid DOA Estimation with Coprime Array显示文摘Constant false-alarm rate Block-sparse Bayesian learning(CFAR-BSBL)algorithm is proposed to reduce the computational complexity and improve Direction of arrival(DOA)estimation accuracy of offgrid signals with coprime array.Firstly,a signal model with normalized noise is built to avoid the learning procedure of noise parameter.Secondly,a block sparse Bayesian framework is built with the introduction of a temporary correlation matrix in order to use t he temporal structure of incident signals.Then the algorithm uses CFAR detection to detect the grids close to the real DOA and relieve the dependence on the number of signals.Finally,an off-grid process based on the closest grids is adopted to deal with the off-grid problem.The proposed CFAR-BSBL algorithm can obtain high accuracy and low complexity DOA estimation of off-grid signals with coprime array.HAN Jun HE Minghao FENG Mingyue JIANG Ying 2019Chinese Journal of Electronics2019,28,4:1
12Asynchronous Observer Design for Switched Linear Systems: A Tube-Based Approach显示文摘This paper proposes a tube-based method for the asynchronous observation problem of discrete-time switched linear systems in the presence of amplitude-bounded disturbances.Sufficient stability conditions of the nominal observer error system under mode-dependent persistent dwell-time(MPDT)switching are first established. Taking the disturbances into account, a novel asynchronous MPDT robust positive invariant(RPI) set and an asynchronous MPDT generalized RPI(GRPI)set are determined for the difference system between the nominal and disturbed observer error systems. Further, the global uniform asymptotical stability of the observer error system is established in the sense of converging to the asynchronous MPDT GRPI set, i.e., the cross section of the tube of the observer error system. Finally, the proposed results are validated on a space robot manipulator example.Minghao Han Ruixian Zhang Lixian Zhang Ye Zhao Wei Pan 2020IEEE/CAA Journal of Automatica Sinica2020,7,1:1
13Targeting the Degradation of Angiotensin II With Recombinant Angiotensin-Converting Enzyme 2: Prevention of Angiotensin II–Dependent Hypertension显示文摘Jan Wysocki Minghao Ye Eva Rodriguez Francisco R. González-Pacheco Clara Barrios Karla Evora Manfred Schuster Hans Loibner K Bridget Brosnihan Carlos M. Ferrario Josef M. Penninger Daniel Batlle 2010Hypertension2010,,1:1
14Environmental microcystin exposure triggers the poor prognosis of prostate cancer: Evidence from case-control, animal, and in vitro studies显示文摘Microcystin-leucine-arginine(MC-LR)is positively linked with multiple cancers in humans.However,the association between MC-LR and the risk and prognosis of prostate cancer has not been conducted in epidemiological studies.No reported studies have linked MC-LR exposure to the poor prognosis of prostate cancer by conducting experimental studies.The content of MC-LR was detected in most of the aquatic food in wet markets and supermarkets in Nanjing and posed a health risk for consumers.MC-LR levels in both prostate cancer tissues and serum were significantly higher than controls.The adjusted odds ratio(OR)for prostate cancer risk by serum MC-LR was 1.75(95%CI:1.21-2.52)in the whole subjects,and a positive correlation between MC-LR and advanced tumor stage was observed.Survival curve analysis indicated patients with higher MC-LR levels in tissues exhibited poorer overall survival.Human,animal,and cell studies confirmed that MC-LR exposure increases the expression of estrogen receptor-α(ERα)and promotes epithelial-mesenchymal transition(EMT)in prostate cancer.Moreover,MC-LR-induced decreased E-cadherin levels,increased vimentin levels,and increased migratory and invasive capacities of prostate cancer cells were markedly suppressed upon ERαknockdown.MC-LR-induced xenograft tumor growth and lungmetastasis in BALB/c nude mice can be effectively alleviated with ERαknockdown.Our data demonstrated that MC-LR upregulated vimentin and downregulated E-cadherin through activating ERα,promoting migration and invasion of prostate cancer cells.Our findings highlight the role of MC-LR in prostate cancer,providing new perspectives to understand MC-LR-induced prostatic toxicity.Chun Pan Haixiang Qin Minghao Yan Xuefeng Qiu Wenyue Gong Wenxin Luo Hongqian Guo Xiaodong Han 2023Journal of Environmental Sciences2023,,5:1
15Analysis and Optimization of a Five-phase Hybrid Excitation Flux Switching Machine Based on the Consistency and Complementarity Principle显示文摘In this study,the general optimal stator poles/rotor teeth(P/T)combination equation of the E-core hybrid excitation flux switching(HEFS)machines are introduced,and a new HEFS machine is proposed and optimized.Firstly,the influences of three different P/T combinations(10/18,10/19,and 10/21)on the HEFS machines are investigated with two-dimensional(2D)finite element analyses(2D-FEA).Meanwhile,the consistency and complementarity principle of the armature windings is analyzed in detail to give reasonable explanations to the simulated results.The general optimal P/T combination equation of the E-core HEFS machines is deduced mathematically to provide an effective guidance on the selection of P/T combinations.The optimal P/T combination calculated by the general equation agrees with the simulated results which confirm the correctness of the mathematical inferences.Finally,the optimizations on the proposed HEFS machine are implemented to obtain higher output torque and better flux-regulation ratio characteristics based on which the cogging torque and torque ripple are reduced significantly.Ming Cheng Zhiyuan Xu Minghao Tong Guishu Zhao Peng Han 2021Chinese Journal of Electrical Engineering2021,7,3:1
16Mapless navigation for UAVs via reinforcement learning from demonstrations显示文摘This paper is concerned with the problems of mapless navigation for unmanned aerial vehicles in the scenarios with limited sensor accuracy and computing capability.A novel learning-based algorithm called soft actor-critic from demonstrations(SACfD)is proposed,integrating reinforcement learning with imitation learning.Specifically,the maximum entropy reinforcement learning framework is introduced to enhance the exploration capability of the algorithm,upon which the paper explores a way to sufficiently leverage demonstration data to significantly accelerate the convergence rate while improving policy performance reliably.Further,the proposed algorithm enables an implementation of mapless navigation for unmanned aerial vehicles and experimental results show that it outperforms the existing algorithms.YANG JiaNan LU ShengAo HAN MingHao LI YunPeng MA YuTing LIN ZeFeng LI HaoWei 2023Science China(Technological Sciences)2023,66,5:0
17Feasibility 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 2021Chinese Physics C2021,45,2:0
18Hyperbranched polymer-cored star polyfluorenes as blue light-emitting materials显示文摘Hyperbranched polymer-cored star polyfluorenes with high molecular weights and narrow molecular weight distribution were prepared by palladium-catalyzed one-pot Suzuki polycondensation of multi- functional cores and an AB-type monomer. The optical, electrochemical and thermal properties of the hyperbranched polymer-cored star polymers were investigated. These polymers exhibited good ther- mal and color stability in solid state, and there was no significant blue-green emission after the poly- mers had been annealed in air for 2.5 h. Their three-dimensional hyperbranched structures could ef- fectively reduce the aggregation of the peripheral rigid linear conjugated polyfluorene chains.HAN Yang SUN MingHao FEI ZhuPing BO ZhiShan 2008Chinese Science Bulletin2008,53,18:0
19Stabilizing perovskite precursors with the reductive natural amino acid for printable mesoscopic perovskite solar cells显示文摘Solution processability significantly advances the development of highly-efficient perovskite solar cells.However,the precursor solution tends to undergo irreversible degradation reactions,impairing the device performance and reproducibility.Here,we utilize a reductive natural amino acid,Nacetylcysteine(NALC),to stabilize the precursor solution for printable carbon-based hole-conductorfree mesoscopic perovskite solar cells.We find that I_(2) can be generated in the aged solution containing methylammonium iodide(MI) in an inert atmosphere and speed up the MA-FA^(+)(formamidinium) reaction which produces large-size cations and hinders the formation of perovskite phase.NALC effectively stabilizes the precursor via its sulfhydryl group which reduces I_(2) back to I^(-)and provides H^(+).The NALC-stabilized precursor which is aged for 1440 h leads to devices with a power conversion efficiency equivalent to 98% of that for devices prepared with the fresh precursor.Furthermore,NALC improves the device power conversion efficiency from 16.16% to 18.41% along with enhanced stability under atmospheric conditions by modifying grain boundaries in perovskite films and reducing associated defects.Wenjing Hu Jian Yang Chuang Yang Xufeng Xiao Chaoyang Wang Zhaozhen Cui Qiaojiao Gao Jianhang Qi Minghao Xia Yaqiong Su Anyi Mei Hongwei Han 2024Journal of Energy Chemistry2024,90,3:0
20ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES显示文摘The growing need to mitigate rainfall-runoff pollution,especially first flush,calls for accurate quantification of pollution load and the refined understanding of its spatial-temporal variation.The wash-off model has advantages in modeling rainfall-runoff pollution due to the inclusion of two key physical processes,build-up and wash-off.However,this disregards pollution load from wet precipitation and the relationship between rainfall and runoff,leading to uncertainties in model outputs.This study integrated the Soil Conservation Service curve number(SCS-CN)into the wash-off model and added pollutant load from wet precipitation to enhance the rainfall-runoff pollution modeling.The enhanced wash-off model was validated in a typical rural-residential area.The results showed that the model performed better than the established wash-off model and the commonly-used event mean concentrations method,and identified two different modes of pollution characteristics dominated by land pollution and rainfall pollution,respectively.In addition,the model simulated more accurate pollutant concentrations at high-temporal-resolution.From this,it was found that 12%of the total runoff contained 80%to 95%of the total load for chemical oxygen demand,total N,and total P,whereas it contained only 15%of the total load for NH4+-N.The enhanced model can provide deeper insights into non-point pollution mitigation.Mingjin CHENG Xin LIU Han XIAO Fang WANG Minghao PAN Zengwei YUAN Hu SHENG 2023Frontiers of Agricultural Science and Engineering2023,10,4:0
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