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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 | Endoplasmic 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 | 2014 | Acta Biochimica et Biophysica Sinica2014，46，10： | 14 |
| 3 | Degradation of bisphenol-A using ultrasonic irradiation assisted by low-concentration hydrogen peroxide显示文摘This study investigated the degradation of bisphenol-A (BPA) by ultrasonic irradiation in the presence of different additives (H2O2,air bubbles and humic acid) under various operating conditions,i.e.,ultrasonic frequency,power intensity and power density.The results demonstrated that the BPA degradation followed pseudo first-order kinetics under different experimental conditions.The optimum power intensities were 0.9,1.8,and 3.0W/cm 2 at the frequencies of 400,670,and 800 kHz,respectively.At the fixed frequency (800 kHz),the degradation rate of BPA was shown proportional to the increase of power density applied.With this manner,the BPA sonolysis could be facilitated at H2O2 dosage being lower than 0.1 mmol/L;while BPA degradation was hindered at H2O2 concentration in excess of 1 mmol/L.Additionally,BPA removal was shown to be inhibited by the presence of aeration and humic acid during ultrasonic irradiation.The present study suggested that the degradation rate of BPA assisted by ultrasonic irradiation was influenced by a variety of factors,and high BPA removal rate could be achieved under appropriate conditions. | Kejia Zhang Naiyun Gao Yang Deng Tsair Fuh Lin Yan Ma Lei Li Minghao Sui | 2011 | Journal of Environmental Sciences2011，23，1： | 9 |
| 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 | Lead‑Free Perovskite Materials for Solar Cells显示文摘The toxicity issue of lead hinders large-scale commercial production and photovoltaic field application of lead halide perovskites.Some novel non-or low-toxic perovskite materials have been explored for development of environmentally friendly lead-free perovskite solar cells(PSCs).This review studies the substitution of equivalent/heterovalent metals for Pb based on first-principles calculation,summarizes the theoretical basis of lead-free perovskites,and screens out some promising lead-free candidates with suitable bandgap,optical,and electrical properties.Then,it reports notable achievements for the experimental studies of lead-free perovskites to date,including the crystal structure and material bandgap for all of lead-free materials and photovoltaic performance and stability for corresponding devices.The review finally discusses challenges facing the successful development and commercialization of lead-free PSCs and predicts the prospect of lead-free PSCs in the future. | Minghao Wang Wei Wang Ben Ma Wei Shen Lihui Liu Kun Cao Shufen Chen Wei Huang | 2021 | Nano-Micro Letters2021，13，4： | 4 |
| 6 | Energy-efficient multipath routing in wireless sensor network considering wireless interference显示文摘Due to the energy and resource constraints of a wireless sensor node in a wireless sensor network (WSN), design of energy-efficient multipath routing protocols is a crucial concern for WSN applications. To provide high-quality monitoring information, many WSN applications require high-rate data transmission. Multipath routing protocols are often used to increase the network transmission rate and throughput. Although large-scale WSN can be supported by high bandwidth backbone network, the WSN remains the bottleneck due to resource constraints of wireless sensors and the effects of wireless interference. In this paper, we propose a multipath energy-efficient routing protocol for WSN that considers wireless interference. In the proposed routing protocol, nodes in the interference zone of the discovered path are marked and not allowed to take part in the subsequent routing process. In this way, the quality of wireless communication is improved because the effects of wireless interference can be reduced as much as possible. The network load is distributed on multiple paths instead of concentrating on only one path, and node energy cost is more balanced for the entire wireless network. The routing protocol is simulated in NS2 software. Simulation result shows that the proposed routing protocol achieves lower energy cost and longer network lifetime than that in the literature. | Li, Shujiang Ma, Xin Wang, Xiangdong Tan, Minghao | 2011 | 控制理论与应用(英文版)2011，9，1： | 3 |
| 7 | Effect of pH on MnOx/GAC catalyzed ozonation for degradation of nitrobenzene显示文摘 | Jun Ma Minghao Sui Tao Zhang | 2005 | Water Research2005，39，： | 1 |
| 8 | Using support vectormachine and evolutionary profiles to predict antifreeze protein se-quences显示文摘 | Zhao Xiaowei Ma Zhiqiang Yin Minghao | 2012 | Intemtional Journal of Molecular Science2012，13，2： | 1 |
| 9 | Degradation of refractory organic pollutants by catalytic ozonation-activated carbon and Mn-loaded activated carbon as catalysts显示文摘 | MA Jun SUI Minghao CHEN Zhonglin | 2004 | Ozone Sci Eng2004，26，1： | 1 |
| 10 | Effect of pH on MnOx/GAC catalyzed ozonation for degradation of nitrobenzene 显示文摘 | MA Jun SUI Minghao ZHANG Tao | 2005 | Water Res2005，39，5： | 1 |
| 11 | Effect of pH on MnOx/GAC catalyzed ozonation for degradation of nitrobenzene 显示文摘 | Ma Jun Sui Minghao Zhang Tao | 2005 | Water Research2005，39，5： | 1 |
| 12 | Hybrid differential evolu tion and gravitation search algorithm for unconstrained optimization 显示文摘 | Li Xiangtao Yin Minghao Ma Zhiqiang | 2011 | International Journal of Physical Science2011，6，25： | 1 |
| 13 | Effect of pHon MnOx/ GAC catalyzed ozonation for degradation ofnitrobenzene显示文摘 | MA Jun SUI Minghao ZHANG Tao | 2005 | Water Research2005，39，5： | 1 |
| 14 | Effect of pH on MnOx/GAC catalyzed ozonation for deg- radation of nitrobenzene 显示文摘 | Ma Jun Sui Minghao Zhang Tao | 2005 | Water Res2005，39，5： | 1 |
| 15 | Effect of pH onMnOx/GAC Catalyzed Ozonation for Ddegradation of Nitroben-zene显示文摘 | Ma Jun Sui Minghao Zhang Tao | 2005 | Water Res2005，39，5： | 1 |
| 16 | Mapless 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 | 2023 | Science China(Technological Sciences)2023，66，5： | 0 |
| 17 | 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 |
| 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 | Spatial Pattern of Compulsory Education Resources in Shijingshan District of Beijing under the Background of Big Data显示文摘With the continuous development of promoting high-quality and balanced basic education and the continuous advancement of research on spatial layout of school,it aims to ensure that the public enjoys educational resources fairly.Based on 63 items of POI data of primary and secondary schools in Shijingshan District,Beijing,this study analyzes the spatial layout,degree supply,and coverage of primary and secondary schools in Shijingshan District using three spatial analysis methods:ArcGIS average nearest neighbor,kernel density analysis,and standard deviation ellipse.The results show that the spatial layout of primary and secondary schools in Shijingshan District,Beijing is characterized by overall clustering:the central region is high-density distribution,while the eastern and western parts are scattered.Moreover,this spatial structure continues to develop along the northwest-southeast direction.Although the high-density population areas in the nine streets correspond to the high-density distribution of schools,the service scope of primary and secondary schools does not cover all residential areas,and the distribution of residential areas within the coverage range is uneven.At the same time,the actual degree supply in Shijingshan District is insufficient. | LIU Ping WANG Zhihao DING Yuqi MA Minghao REN Pengyu | 2023 | Journal of Landscape Research2023，15，6： | 0 |
| 20 | Maize(Zea mays L.)seedling detection based on the fusion of a modified deep learning model and a novel Lidar points projecting strategy显示文摘Accurate crop detection is the prerequisite for the operation of intelligent agricultural machinery.Image recognition usually lacks accurate orientation information,and Lidar point clouds are not easy to distinguish different objects.Fortunately,the fusion of images and Lidar points can complement each other.This research aimed to detect maize(Zea mays L.)seedlings by fusing Lidar data with images.By applying coordinate transformation and time stamps,the images and Lidar points were realized homogeneous in spatial as well as temporal dimensions.Deep learning was used to develop a maize seedling recognition model,then the model recognized maize seedlings by labeling them with bounding boxes.Meanwhile,Lidar points were mapped to the bounding boxes.Only one-third of points that fell into the right middle of bounding boxes were selected for clustering operation,the calculated center of the cluster provided spatial information for target maize seedlings.This study modified the classical single shot multi-box detector(SSD)by merely linking the last feature map to the final output layer,owing to the higher feature maps having the unique advantages of detecting relatively larger objects.In images,maize seedlings were just the largest objects owing to be shot on purpose.This modification enabled the recognition model to finish recognizing an image by only consuming around 60 ms,which saved about 10 ms/image compared with the classical SSD model.The experiment was conducted in a maize field,and the maize was during the elongation stage.Experimental results demonstrated that the standard deviations for maximum distance error and maximum angle error were 1.4 cm and 1.1°,respectively,which can be tolerated under current technical requirements.Since agricultural fields are subject to staple crop-orientated and changeable ambient environment,the fusion of images and Lidar points can derive more precision information,and make agricultural machinery smarter.This study can act as an upstream technology for other researches on intelligent agricultural machinery. | Gang Wang Dongyan Huang Deyi Zhou Huili Liu Minghao Qu Zhongyang Ma | 2022 | International Journal of Agricultural and Biological Engineering2022，15，5： | 0 |
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