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| 1 | Evidence chain-based causality identification in herb-induced liver injury: exemplification of a well-known liver-restorative herb Polygonum multiflorum显示文摘草药的药最近在美国作为导致药的肝损害(DILI ) 的第二个很普通的原因被认出了。然而,识别一些植物的 DILI 诱发性的可靠方法例如 Heshouwu (蓼 multiflorum 的弄干的根) ,留下缺乏。在这研究,有肝机能障碍和 Heshouwu DILI 的 147 个报导文学的案例的 12 307 个住院病人的一个总数被屏蔽。一个一般算法仅仅显示了那 22.5%(9/40 ) 并且(45/147 ) 分别地, 30.6% 所有住院和文学案例报告表明 Heshouwu 的 DILI 诱发性的高概率。由对比,(19/20 )95% 生药学,植物化学,和 metabolomic 有希望地调查的所有情况测试展出高度可能的诱发性,包括不正确地以前被归因的一个病人和从由 pharmacognostic 证据的 Heshouwu 诱发性被排除的一个案例。污染也是的毒素(重金属,杀虫剂,和 mycotoxins ) 从 Heshouwu DILI 诱发性排除了。为 Heshouwu DILI 诊断地址安全的这些屏蔽方法的客观性担心考虑包含芪的草药的药和饮食的补充。 | Jiabo Wang Zhijie Ma Ming Niu Yun Zhu Qingsheng Liang Yanling Zhao Jingyuan Song Zhaofang Bai Yaming Zhang Ping Zhang Na Li Yakun Meng Qi Li Lushan Qin Guangju Teng Junling Cao Baosen Li Shilin Chen Yonggang Li Zhengsheng Zou Honghao Zhou Xiaohe Xiao | 2015 | Frontiers of Medicine2015，9，4： | 47 |
| 2 | Host Proteome Research in HIV Infection显示文摘Proteomics has been widely used in the last few years to look for new biomarkers and decipher the mechanism of HIV-host interaction.Herein,we review the recent developments of HIV/AIDS proteomic research,including the samples used in HIV/AIDS related research,the technologies used for proteomic study,the diagnosis biomarkers of HIV-associated disease especially HIV-associated neurocognitive impairment,the mechanisms of HIV-host interaction,HIV-associated dementia,substance abuse,and so on.In the end of this review,we also give some prospects about the limitation and future improvement of HIV/AIDS proteomic research. | Lijun Zhang Xiaojun Zhang Qing Ma Honghao Zhou | 2010 | Genomics, Proteomics & Bioinformatics2010，8，1： | 2 |
| 3 | Effect of alu- minum fiber content on the underwater explosion per- formance of RDX-based explosives显示文摘 | Lin Moujin Ma Honghao Shen Zhaowu | 2014 | Propellants Ex- plosives Pyrotechnics2014，39，2： | 1 |
| 4 | Detona- tion characteristics of emulsion explosives sensitized by MgH2 显示文摘 | Cheng Yangfan Ma Honghao Shen Zhaowu | 2013 | Combustion Explosion and Shock Waves2013，49，5： | 1 |
| 5 | Explo- sion power and pressure desensitization resisting property of emulsion explosives sensitized by MgH2 显示文摘 | Cheng Yangfan Ma Honghao Liu Rong | 2014 | Journal of Energetic Materials2014，32，3： | 1 |
| 6 | Pres- sure desensitization influential factors and mechanism of' magnesium hydride sensitized emulsion explosives 显示文摘 | Cheng Yangfan Ma Honghao Liu Ror~g | 2014 | Propellants Explosives Pyrotechnics2014，39，2： | 1 |
| 7 | Double Sided Explosive Cladding of Stainless Steel and Regular Steel显示文摘 | Guanghong Miao Honghao Ma Zhaowu Shen | 2014 | Appl Mech and Mate Vols2014，，2014： | 1 |
| 8 | Association between eIF3α polymorphism and severe toxicity caused by platinum‐based chemotherapy in non‐small cell lung cancer patients显示文摘 | Xiaojing Xu Lifang Han Li Duan Yingchun Zhao Huaping Yang Boting Zhou Rui Ma Ruixia Yuan Honghao Zhou Zhaoqian Liu | 2013 | Br J Clin Pharmacol2013，，2： | 1 |
| 9 | The A/G allele of eIF3a rs3740556 predicts platinum-based chemotherapy resistance in lung cancer patients显示文摘 | Xiaojing Xu Lifang Han Huaping Yang Li Duan Boting Zhou Yingchun Zhao Jian Qu Rui Ma Honghao Zhou Zhaoqian Liu | 2012 | Lung Cancer2012，，： | 1 |
| 10 | Realizing n-type CdSb with promising thermoelectric performance显示文摘Realizing high performance in both n-type and p-type materials is essential for designing efficient ther-moelectric devices.However,the doping bottleneck is often encountered,i.e.,only one type of conduction can be realized.As one example,p-type CdSb with high thermoelectric performance has been discovered for several decades,while its n-type counterpart has rarely been reported.In this work,the calculated band structure of CdSb demonstrates that the valley degeneracy is as large as ten for the conduction band,and it is only two for the valence band.Therefore,the n-type CdSb can potentially realize an ex-ceptional thermoelectric performance.Experimentally,the n-type conduction has been successfully real-ized by tuning the stoichiometry of CdSb.By further doping indium at the Cd site,an improved room-temperature electron concentration has been achieved.Band modeling predicts an optimal electron con-centration of∼2.0×1019 cm−3,which is higher than the current experimental values.Therefore,future optimization of the n-type CdSb should mainly focus on identifying practical approaches to optimize the electron concentration. | Peng Zhao Honghao Yao Shizhen Zhi Xiaojing Ma Zuoxu Wu Yijie Liu Xinyu Wang Li Yin Zongwei Zhang Shuaihang Hou Xiaodong Wang Siliang Chen Chen Chen Xi Lin Haoliang Liu Xingjun Liu Feng Cao Qian Zhang Jun Mao | 2023 | Journal of Materials Science & Technology2023，，13： | 0 |
| 11 | Improving long-term temperature bias stability of an integrated optical gyroscope employing a Si_(3)N_(4)resonator显示文摘The presence of polarization noise generated by the waveguide resonator limits the performance of a resonant integrated optical gyroscope(RIOG).Using silicon nitride(Si_(3)N_(4))to fabricate a waveguide with an ultralowaspect-ratio can result in a resonator that only supports light transmission in a single-polarization state,suppressing polarization noise.We successfully fabricated a Si_(3)N_(4)resonator with a bending radius of 17.5 mm,a finesse(F)of 150,a quality factor(Q)of 1.54×10^(7),and a propagation loss of 1.2 d B/m.The Si_(3)N_(4)resonator was used to construct a double closed-loop RIOG that showed long-term bias stability(3600 s)of 13.2°/h at room temperature,14.8°/h at 40℃,21.2°/h at 50℃,and 23.6°/h at 60℃.We believe this to be the best performance reported to date for a Si_(3)N_(4)resonator-based RIOG.This advancement paves the way for the wider application of RIOGs. | CHANGKUN FENG YONGGUI ZHANG HONGHAO MA HUI LI LISHUANG FENG | 2022 | Photonics Research2022，10，7： | 0 |
| 12 | 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 |
| 13 | Transcriptomics and Proteomics in the Study of H1N1 2009显示文摘Influenza A virus (H1N1) 2009, a new swine-origin influenza A virus, has been spread worldwidely and caused great public fear. High-throughput transcriptomics and proteomics methods are now being used to identify H1N1 and H1N1-host interaction. This article reviews recent transcriptomics and proteomics research in H1N1 diagnosis, treatment, and H1N1 virus-host interaction, to offer some help for further understanding the infection mechanism and controlling H1N1 transmission. | Lijun Zhang Xiaojun Zhang Qing Ma Fang Ma Honghao Zhou | 2010 | Genomics, Proteomics & Bioinformatics2010，8，3： | 0 |
| 14 | Fiber resonator using negative-curvature anti-resonant fiber with temperature stability显示文摘The coupling efficiency of hollow-core fiber changes with temperature,which leads to the decrease of the finesse(F)of fiber resonator and limits the performance of the resonant fiber optic gyroscope(R-FOG)system.Negative-curvature antiresonant fiber(ARF)can maintain single-mode characteristics under the condition of large mode field diameter,achieve efficient and stable fiber coupling,and significantly improve the consistency of the F of the spatial coupling resonator in variable temperature environment.A new type of ARF with a mode field diameter(MFD)of 25μm is used to fabricate a fiber resonator with a length of 5.14 m.In the range of 25℃-75℃,the average F is 31.45.The ARF resonator is used to construct an R-FOG system that shows long-term bias stability(3600 s)of3.1°/h at room temperature,4.6°/h at 75℃.To our knowledge,this is the best reported index of hollow-core fiber resonator and R-FOG system within the temperature variation range of 50℃ test. | MA Honghao LI Hui FENG Changkun FENG Lishuang GAO Shoufei WANG Yingying WANG Pu | 2022 | Journal of Systems Engineering and Electronics2022，33，6： | 0 |
| 15 | PREDICTING STATUS OF CHINESE LISTED COMPANIES BASED ON FEATURES SELECTED BY PENALIZED REGRESSION显示文摘瓷器公司在中国由于证券市场的发展吸引了许多注意。列出的中国公司的列出的地位成为暗示一张股票的潜在的风险的重要指示物。当他们做进一步的决定时,因此预言列出的中国公司的地位为股东和投资者显然是关键的。根据为中国公司的四可能的清单地位,研究人员们作为在数据采矿区域典型的一个分类问题提出上述问题。很多的分类技术被实现了基于他们的金融因素预言列出的中国公司的地位。通常,为每列出的公司有超过 150 个金融因素,并且特征选择在分类方法的实现前被需要。在文学,研究人员与变化使用了 t 测试选择相关因素的通货膨胀因素(VIF ) 分析。然而,如此的方法不能在高维的盒子中被使用。在这份报纸,我们使用惩罚回归的想法基于一个逻辑回归模型选择感兴趣的因素,然后使用流行分类方法预言公司地位。我们的结果证明建议方法能发现更代表性的因素并且改进分类方法的预言精确性。 | Rui Ma Honghao Zhao Ligang Zhou | 2017 | Journal of Systems Science and Systems Engineering2017，26，4： | 0 |
| 16 | Feature Selection with a Local Search Strategy Based on the Forest Optimization Algorithm显示文摘Feature selection has been widely used in data mining and machine learning.Its objective is to select a minimal subset of features according to some reasonable criteria so as to solve the original task more quickly.In this article,a feature selection algorithm with local search strategy based on the forest optimization algorithm,namely FSLSFOA,is proposed.The novel local search strategy in local seeding process guarantees the quality of the feature subset in the forest.Next,the fitness function is improved,which not only considers the classification accuracy,but also considers the size of the feature subset.To avoid falling into local optimum,a novel global seeding method is attempted,which selects trees on the bottom of candidate set and gives the algorithm more diversities.Finally,FSLSFOA is compared with four feature selection methods to verify its effectiveness.Most of the results are superior to these comparative methods. | Tinghuai Ma Honghao Zhou Dongdong Jia Abdullah Al-Dhelaan Mohammed Al-Dhelaan Yuan Tian | 2019 | Computer Modeling in Engineering & Sciences2019，，11： | 0 |
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