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20篇 您的检索式:作者名="Xuebin Chi"
    题名 作者 年代 出处 被引量
1High-performance computing environment: a review of twenty years of experiments in China显示文摘A high-performance computing environment, also known as a supercomputing environment, e-Science environment or cyberinfrastructure, is a crucial system that connects users' applications to supercomputers,and provides usability, eiciency, sharing, and collaboration capabilities. his review presents important lessons drawn from China's nationwide eforts to build and use a high-performance computing environment over the past 20 years(1995–2015), including three observations and two open problems. We present evidence that such an environment helps to grow China's nationwide supercomputing ecosystem by orders of magnitude, where a loosely coupled architecture accommodates diversity. An important open problem is why technology for global networked supercomputing has not yet become as widespread as the Internet or Web. In the next 20 years, high-performance computing environments will need to provide zetalops computing capability and 10 000 times beter energy eiciency, and support seamless human-cyber-physical ternary computing.Zhiwei Xu Xuebin Chi Nong Xiao 2016National Science Review2016,3,1:8
2Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong 9204显示文摘Studying the regulatory mechanisms that drive nitrogen-use efficiency(NUE)in crops is important for sustainable agriculture and environmental protection.In this study,we generated a high-quality genome assembly for the high-NUE wheat cultivar Kenong 9204 and systematically analyzed genes related to nitrogen uptake and metabolism.By comparative analyses,we found that the high-affinity nitrate transporter gene family had expanded in Triticeae.Further studies showed that subsequent functional differentiation endowed the expanded family members with saline inducibility,providing a genetic basis for improving the adaptability of wheat to nitrogen deficiency in various habitats.To explore the genetic and molecular mechanisms of high NUE,we compared genomic and transcriptomic data from the high-NUE cultivar Kenong 9204(KN9204)and the low-NUE cultivar Jing 411 and quantified their nitrogen accumulation under high-and low-nitrogen conditions.Compared with Jing 411,KN9204 absorbed significantly more nitrogen at the reproductive stage after shooting and accumulated it in the shoots and seeds.Transcriptome data analysis revealed that nitrogen deficiency clearly suppressed the expression of genes related to cell division in the young spike of Jing 411,whereas this suppression of gene expression was much lower in KN9204.In addition,KN9204 maintained relatively high expression of NPF genes for a longer time than Jing 411 during seed maturity.Physiological and transcriptome data revealed that KN9204 was more tolerant of nitrogen deficiency than Jing 411,especially at the reproductive stage.The high NUE of KN9204 is an integrated effect controlled at different levels.Taken together,our data provide new insights into the molecular mechanisms of NUE and important gene resources for improving wheat cultivars with a higher NUE trait.Xiaoli Shi Fa Cui Xinyin Han Yilin He Long Zhao Na Zhang Hao Zhang Haidong Zhu Zhexin Liu Bin Ma Shusong Zheng Wei Zhang Jiajia Liu Xiaoli Fan Yaoqi Si Shuiquan Tian Jianqing Niu Huilan Wu Xuemei Liu Zhuo Chen Deyuan Meng Xiaoyan Wang Liqiang Song Lijing Sun Jie Han Hui Zhao Jun Ji Zhiguo Wang Xiaoyu He Ruilin Li Xuebin Chi Chengzhi Liang Beifang Niu Jun Xiao Junming Li Hong-Qing Ling 2022Molecular Plant2022,15,9:6
3Galloping Vibration Monitoring of Overhead Transmission Lines by Chirped FBG Array显示文摘A distributed online fiber sensing system based on the phase-sensitive optical time domain reflectometer(Φ-OTDR)enhanced by the drawing tower fiber Bragg grating(FBG)array is presented and investigated experimentally for monitoring the galloping of overhead transmission lines.The chirped FBG array enhanced Φ-OTDR sensing system can be used to measure the galloping behavior of the overhead transmission lines(optical phase conductor or optical power ground wire),which are helpful for monitoring the frequency response characteristics of the ice-induced galloping,evaluating the motion tendencies of these cables,and avoiding the risk of flashover during galloping.The feasibility of the proposed online monitoring system is demonstrated through a series of experiments at the Special Optical Fiber Cable Laboratory of State Grid Corporation of China(Beijing,China).Results show that the proposed system is effective and reliable for the monitoring of galloping shape and characteristic frequency,which can predict the trend of destructive vibration behavior and avoid the occurrence of cable breaking and tower toppling accidents,and these features are essential for the safety operation in smart grids.Qizhong YAN Ciming ZHOU Xuebin FENG Chi DENG Wenyu HU Yimin XU 2022Photonic Sensors2022,12,3:5
4Sup- pressing or inducing chaos in a model of robot arms and mechanical manipulators 显示文摘Cao Hongjun Chi Xuebin Chen Guangrong 2004Journal of Sound and Vibration2004,27,3:1
5Efficient opacity specification based on feature visibilities in direct volume rendering显示文摘Wang Yunhai Zhang Jian Chen Wei Zhang Huai Chi Xuebin 0,,07:1
6Impulsive control strategies in biological control of pesticide显示文摘Lu Zhonghua Chi Xuebin Chen Lansun 2003Theoretical Population Biology2003,64,:1
7Impulsive control strategies in biological control of pesticide显示文摘Zhonghua Lu Xuebin Chi Lansun Chen 2003Theoretical Population Biology2003,,1:1
8Global attractivity of nonautonomous stage - structrured population models with dispersal and harvest显示文摘Zhonghua Lu Xuebin Chi Lansun Chen 2004J Comp Appl Math2004,166,:1
9Impulsive control strategies in biological control of pesticide显示文摘Lu Zhonghua Chi Xuebin Chen Lansun 2003Theoretical Population Biology2003,,64:1
10Impulsive Control Strategies in Biological Control of Pesticide显示文摘Lu Zhonghua Chi Xuebin Chen Lansun 2003Theo Pop Biol2003,64,:1
11Global attractive of nonautonomous stage-structured popula- tion models with dispersal and harvest 显示文摘LU Zhonghua CHI Xuebin CHEN Lansun 2004J Comput- er Appl Math2004,166,2:1
12GridMol: a grid application for molecular modeling and visualization显示文摘Yanhua Sun Bin Shen Zhonghua Lu Zhong Jin Xuebin Chi 2008Journal of Computer - Aided Molecular Design2008,,2:1
13The effect of constant and pulse vaccination on SIR epidemic model with horizontal and vertical transmission显示文摘LU Zhonghua CHI Xuebin CHEN Lansun 2002Mathematical and Computer Modeling2002,86,9:1
14The effect of constant and pluse vaccination on SIR epidemic model with Horizontal and vertical transmisson显示文摘LU ZHONGHUA CHI XUEBIN CHEN LANSUN 2002Mathematical and computer modelling2002,36,:1
15The effect of constant and pulse vaccination on SIR epidemic model with horizontal and vertical transmission显示文摘Lu Zhonghua Chi Xuebin Chen Lansun 2002Mathematical and Computer Modelling2002,36,:1
16Impulsive control strategies in biological control of pesticide显示文摘Lu Zhonghua Chi Xuebin Chen Lansun 2003Theoretical Population Biology2003,64,1:1
17Impulsive control strategies in biological control of pesticide显示文摘LU Zhonghua CHI Xuebin CHEN Lansun 2003Theoretical Population Biology2003,64,1:1
18How Big Data and High-performance Computing Drive Brain Science显示文摘Brain science accelerates the study of intelligence and behavior,contributes fundamental insights into human cognition,and offers prospective treatments for brain disease.Faced with the challenges posed by imaging technologies and deep learning computational models,big data and high-performance computing(HPC)play essential roles in studying brain function,brain diseases,and large-scale brain models or connectomes.We review the driving forces behind big data and HPC methods applied to brain science,including deep learning,powerful data analysis capabilities,and computational performance solutions,each of which can be used to improve diagnostic accuracy and research output.This work reinforces predictions that big data and HPC will continue to improve brain science by making ultrahigh-performance analysis possible,by improving data standardization and sharing,and by providing new neuromorphic insights.Shanyu Chen Zhipeng He Xinyin Han Xiaoyu He Ruilin Li Haidong Zhu Dan Zhao Chuangchuang Dai Yu Zhang Zhonghua Lu Xuebin Chi Beifang Niu 2019Genomics, Proteomics & Bioinformatics2019,17,4:0
19The research progress of tiling array technology and applications显示文摘Tiling array technology was improved from microarray technology. Over the past five years, tiling array has become an important tool for gathering genome information. Its features of high density and high throughput allow people to probe into life from the whole-genome level. This paper is a survey of tiling array technology and its applications. In addition, some typical algorithms for identifying expressed probe signals are described and compared.LANG XianYu WANG Jun CHI XueBin 2008Chinese Science Bulletin2008,53,6:0
20PARALLEL EFFICIENCY FOR SOLVING LINEAR SYSTEMS ON DAWN1000显示文摘PARALLELEFFICIENCYFORSOLVINGLINEARSYSTEMSONDAWN1000XUEBINCHI(InstituteofSoftware,AcadcmiaSinicaBeijing100080,China)Abstract:H...XUEBIN CHI(Institute of Software, Acadcmia Sinica Beijing 100080, China) 1996Wuhan University Journal of Natural Sciences1996,1,Z1:0
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