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14篇 您的检索式:作者名="J.Jiang"
    题名 作者 年代 出处 被引量
1查看详情显示文摘J.P. Liu Y.Y. Li R.M. Ding J.Jiang Y.Y.Hu X.X.Ji Q.B.Chi Z.H.Zhu X.T.Huang 0,,:1
2The relative weights of Internet shopping fundamental objectives: Effect of lifestyle differences显示文摘Eric T.G.Wang His‐YinYeh James J.Jiang 2006Psychol Mark2006,,5:1
3查看详情显示文摘R.Babarao J.Jiang S.I.Sandler 0,,09:1
4Bond rolling resistance and its effect on yielding of bonded granulates by DEM analyses显示文摘M. J.Jiang H. S.Yu D.Harris 2006Int J Numer Anal Meth Geomech2006,,8:1
5查看详情显示文摘Ji H. M Yang G Ni H Roy S.Pinto J.Jiang X.F 0,,:1
6Volatility spillovers and the effect of news announcements显示文摘George J.Jiang Eirini Konstantinidi George Skiadopoulos 0,,:1
7查看详情显示文摘J.P. Liu Y.Y. Li X.T. Huang R.M.Ding Y.Y.Hu J.Jiang L.Liao 0,,:1
8查看详情显示文摘J.P. Liu Y.Y. Li R.M. Ding J.Jiang Y.Y.Hu X.X.Ji Q.B.Chi Z.H.Zhu X.T.Huang 0,,:1
9The complete strategic classification for a cooperation-competition model in the WWW market显示文摘J.Jiang Z.Cheng 0,,:1
10STCF conceptual design report (Volume 1): Physics & detector显示文摘The superτ-charm facility(STCF)is an electron–positron collider proposed by the Chinese particle physics community.It is designed to operate in a center-of-mass energy range from 2 to 7 GeV with a peak luminosity of 0.5×1035 cm–2·s–1 or higher.The STCF will produce a data sample about a factor of 100 larger than that of the presentτ-charm factory—the BEPCII,providing a unique platform for exploring the asymmetry of matter-antimatter(charge-parity violation),in-depth studies of the internal structure of hadrons and the nature of non-perturbative strong interactions,as well as searching for exotic hadrons and physics beyond the Standard Model.The STCF project in China is under development with an extensive R&D program.This document presents the physics opportunities at the STCF,describes conceptual designs of the STCF detector system,and discusses future plans for detector R&D and physics case studies.M.Achasov X.C.Ai L.P.An R.Aliberti Q.An X.Z.Bai Y.Bai O.Bakina A.Barnyakov V.Blinov V.Bobrovnikov D.Bodrov A.Bogomyagkov A.Bondar I.Boyko Z.H.Bu F.M.Cai H.Cai J.J.Cao Q.H.Cao X.Cao Z.Cao Q.Chang K.T.Chao D.Y.Chen H.Chen H.X.Chen J.F.Chen K.Chen L.L.Chen P.Chen S.L.Chen S.M.Chen S.Chen S.P.Chen W.Chen X.Chen X.F.Chen X.R.Chen Y.Chen Y.Q.Chen H.Y.Cheng J.Cheng S.Cheng T.G.Cheng J.P.Dai L.Y.Dai X.C.Dai D.Dedovich A.Denig I.Denisenko J.M.Dias D.Z.Ding L.Y.Dong W.H.Dong V.Druzhinin D.S.Du Y.J.Du Z.G.Du L.M.Duan D.Epifanov Y.L.Fan S.S.Fang Z.J.Fang G.Fedotovich C.Q.Feng X.Feng Y.T.Feng J.L.Fu J.Gao Y.N.Gao P.S.Ge C.Q.Geng L.S.Geng A.Gilman L.Gong T.Gong B.Gou W.Gradl J.L.Gu A.Guevara L.C.Gui A.Q.Guo F.K.Guo J.C.Guo J.Guo Y.P.Guo Z.H.Guo A.Guskov K.L.Han L.Han M.Han X.Q.Hao J.B.He S.Q.He X.G.He Y.L.He Z.B.He Z.X.Heng B.L.Hou T.J.Hou Y.R.Hou C.Y.Hu H.M.Hu K.Hu R.J.Hu W.H.Hu X.H.Hu Y.C.Hu J.Hua G.S.Huang J.S.Huang M.Huang Q.Y.Huang W.Q.Huang X.T.Huang X.J.Huang Y.B.Huang Y.S.Huang N.Hüsken V.Ivanov Q.P.Ji J.J.Jia S.Jia Z.K.Jia H.B.Jiang J.Jiang S.Z.Jiang J.B.Jiao Z.Jiao H.J.Jing X.L.Kang X.S.Kang B.C.Ke M.Kenzie A.Khoukaz I.Koop E.Kravchenko A.Kuzmin Y.Lei E.Levichev C.H.Li C.Li D.Y.Li F.Li G.Li G.Li H.B.Li H.Li H.N.Li H.J.Li H.L.Li J.M.Li J.Li L.Li L.Li L.Y.Li N.Li P.R.Li R.H.Li S.Li T.Li W.J.Li X.Li X.H.Li X.Q.Li X.H.Li Y.Li Y.Y.Li Z.J.Li H.Liang J.H.Liang Y.T.Liang G.R.Liao L.Z.Liao Y.Liao C.X.Lin D.X.Lin X.S.Lin B.J.Liu C.W.Liu D.Liu F.Liu G.M.Liu H.B.Liu J.Liu J.J.Liu J.B.Liu K.Liu K.Y.Liu K.Liu L.Liu Q.Liu S.B.Liu T.Liu X.Liu Y.W.Liu Y.Liu Y.L.Liu Z.Q.Liu Z.Y.Liu Z.W.Liu I.Logashenko Y.Long C.G.Lu J.X.Lu N.Lu Q.F.Lü Y.Lu Y.Lu Z.Lu P.Lukin F.J.Luo T.Luo X.F.Luo Y.H.Luo H.J.Lyu X.R.Lyu J.P.Ma P.Ma Y.Ma Y.M.Ma F.Maas S.Malde D.Matvienko Z.X.Meng R.Mitchell A.Nefediev Y.Nefedov S.L.Olsen Q.Ouyang P.Pakhlov G.Pakhlova X.Pan Y.Pan E.Passemar Y.P.Pei H.P.Peng L.Peng X.Y.Peng X.J.Peng K.Peters S.Pivovarov E.Pyata B.B.Qi Y.Q.Qi W.B.Qian Y.Qian C.F.Qiao J.J.Qin J.J.Qin L.Q.Qin X.S.Qin T.L.Qiu J.Rademacker C.F.Redmer H.Y.Sang M.Saur W.Shan X.Y.Shan L.L.Shang M.Shao L.Shekhtman C.P.Shen J.M.Shen Z.T.Shen H.C.Shi X.D.Shi B.Shwartz A.Sokolov J.J.Song W.M.Song Y.Song Y.X.Song A.Sukharev J.F.Sun L.Sun X.M.Sun Y.J.Sun Z.P.Sun J.Tang S.S.Tang Z.B.Tang C.H.Tian J.S.Tian Y.Tian Y.Tikhonov K.Todyshev T.Uglov V.Vorobyev B.D.Wan B.L.Wang B.Wang D.Y.Wang G.Y.Wang G.L.Wang H.L.Wang J.Wang J.H.Wang J.C.Wang M.L.Wang R.Wang R.Wang S.B.Wang W.Wang W.P.Wang X.C.Wang X.D.Wang X.L.Wang X.L.Wang X.P.Wang X.F.Wang Y.D.Wang Y.P.Wang Y.Q.Wang Y.L.Wang Y.G.Wang Z.Y.Wang Z.Y.Wang Z.L.Wang Z.G.Wang D.H.Wei X.L.Wei X.M.Wei Q.G.Wen X.J.Wen G.Wilkinson B.Wu J.J.Wu L.Wu P.Wu T.W.Wu Y.S.Wu L.Xia T.Xiang C.W.Xiao D.Xiao M.Xiao K.P.Xie Y.H.Xie Y.Xing Z.Z.Xing X.N.Xiong F.R.Xu J.Xu L.L.Xu Q.N.Xu X.C.Xu X.P.Xu Y.C.Xu Y.P.Xu Y.Xu Z.Z.Xu D.W.Xuan F.F.Xue L.Yan M.J.Yan W.B.Yan W.C.Yan X.S.Yan B.F.Yang C.Yang H.J.Yang H.R.Yang H.T.Yang J.F.Yang S.L.Yang Y.D.Yang Y.H.Yang Y.S.Yang Y.L.Yang Z.W.Yang Z.Y.Yang D.L.Yao H.Yin X.H.Yin N.Yokozaki S.Y.You Z.Y.You C.X.Yu F.S.Yu G.L.Yu H.L.Yu J.S.Yu J.Q.Yu L.Yuan X.B.Yuan Z.Y.Yuan Y.F.Yue M.Zeng S.Zeng A.L.Zhang B.W.Zhang G.Y.Zhang G.Q.Zhang H.J.Zhang H.B.Zhang J.Y.Zhang J.L.Zhang J.Zhang L.Zhang L.M.Zhang Q.A.Zhang R.Zhang S.L.Zhang T.Zhang X.Zhang Y.Zhang Y.J.Zhang Y.X.Zhang Y.T.Zhang Y.F.Zhang Y.C.Zhang Y.Zhang Y.Zhang Y.M.Zhang Y.L.Zhang Z.H.Zhang Z.Y.Zhang Z.Y.Zhang H.Y.Zhao J.Zhao L.Zhao M.G.Zhao Q.Zhao R.G.Zhao R.P.Zhao Y.X.Zhao Z.G.Zhao Z.X.Zhao A.Zhemchugov B.Zheng L.Zheng Q.B.Zheng R.Zheng Y.H.Zheng X.H.Zhong H.J.Zhou H.Q.Zhou H.Zhou S.H.Zhou X.Zhou X.K.Zhou X.P.Zhou X.R.Zhou Y.L.Zhou Y.Zhou Y.X.Zhou Z.Y.Zhou J.Y.Zhu K.Zhu R.D.Zhu R.L.Zhu S.H.Zhu Y.C.Zhu Z.A.Zhu V.Zhukova V.Zhulanov B.S.Zou Y.B.Zuo 2024Frontiers of physics2024,19,1:0
11Analysis of High Frequency Data in Finance:A Survey显示文摘This study examines the use of high frequency data in finance,including volatility estimation and jump tests.High frequency data allows the construction of model-free volatility measures for asset returns.Realized variance is a consistent estimator of quadratic variation under mild regularity conditions.Other variation concepts,such as power variation and bipower variation,are useful and important for analyzing high frequency data when jumps are present.High frequency data can also be used to test jumps in asset prices.We discuss three jump tests:bipower variation test,power variation test,and variance swap test in this study.The presence of market microstructure noise complicates the analysis of high frequency data.The survey introduces several robust methods of volatility estimation and jump tests in the presence of market microstructure noise.Finally,some applications of jump tests in asset pricing are discussed in this article.George J.Jiang Guanzhong Pan 2020Frontiers of Economics in China-Selected Publications from Chinese Universities2020,15,2:0
12深圳荟同学校显示文摘荟同深圳校区是荟同(Whittle School&Studios)在中国的第一个项目,它将成为世界一流城市中30个荟同校园的一员。这所新校区位于深圳市前海大湾开发区的中心区域,交通十分便利。其北部和东部都与新的城市公园接壤,周围是高达150m的住宅和商业塔楼。此校区预计容纳2,200名学生。 O.De Nooyer D.Piano S.Lafranconi P.Fang G.Boller E.Ginocchio L.Jin Z.Kuehn M.Ottonello L.Peraita S.Polotti J.Jiang R.Raimondi M.Tokarnia V.Volpi B.Pignatti A.Pizzolato G.Semprini C.Zaccaria M.Abidos F.Cappellini D.Lange F.Terranova 张超(摄影) 2020建筑实践2020,3,5:0
13π介子的非对称发射与核媒质态方程显示文摘本文采用VUU模型研究了1.8AGeV Ar^+Pb碰撞中π介子非对称发射携带的核物质态方程信息。指出在靶核旁观者吸收较弱的入射核快度区域,末态π介子的集体运动中保留着同重子集体关联类似的特性,其发射方位角分布的非对称性是对核物质态方程敏感的参量。由π介子方位角关联函数方法对Bevalac流光室1.8AGeV Ar^+Pb碰撞实验数据的分析结果和对硬核媒质态方程模型模拟事件的计算相符合。王山 刘亦铭 刘庆军 J.Jiang D.Keane Y.Shao S.Y.Chu S.Y.Fung 1993高能物理与核物理1993,17,8:0
14碰撞1.2A GeV Ar+KCI中的n粒子横向关联与集体性显示文摘我们给出了一种分析集合流的n粒子横向关联函数方法,把对n粒子方位角关联的研究和集体性的计算推广到能够同时利用横向动量大小和方位角信息的情形。对于确定集合流的集体性而言,这种方法比仅仅利用方位角信息的多粒子方位角关联方法更为敏感。采用这种新方法,分析了Bevalac流光室1.2AGeV Ar+KCl碰撞中n粒子的横向关联,与蒙特卡罗模拟结果的对比推算了该碰撞中末态粒子的集体性是介于85%~95%之间。刘庆军 蒋玉桢 王山 刘亦铭 J.Jiang D.Kcane Y.Shao S.Y.Fung S.Y.Chu 1993高能物理与核物理1993,17,10:0
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