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Evidence for Multiple Underlying Fermi Surface and Isotropic Energy Gap in the Cuprate Parent Compound Ca2CuO2Cl2 被引量:1
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作者 Cheng Hu Jian-Fa Zhao +9 位作者 Ying Ding Jing Liu Qiang Gao Lin Zhao Guo-Oong Liu Li Yu Chang-Qing Jin Chuang-Tian Chen Zu-Yan Xu Xing-Jiang Zhou 《Chinese Physics Letters》 SCIE CAS CSCD 2018年第6期84-89,共6页
The parent compounds of the high-temperature cuprate superconductors are Mott insulators.It has been generally agreed that understanding the physics of the doped Mott insulators is essential to understanding the mecha... The parent compounds of the high-temperature cuprate superconductors are Mott insulators.It has been generally agreed that understanding the physics of the doped Mott insulators is essential to understanding the mechanism of high temperature superconductivity.A natural starting point is to elucidate the basic electronic structure of the parent compound.Here we report comprehensive high resolution angle-resolved photoemission measurements on Ca_2CuO_2Cl_2,a Mott insulator and a prototypical parent compound of the cuprates.Multiple underl.ying Fermi surface sheets are revealed for the first time.The high energy waterfall-like band dispersions exhibit different behaviors near the nodal and antinodal regions.Two distinct energy scales are identified:a d-wave-like low energy peak dispersion and a nearly isotropic lower Hubbard band gap.These observations provide new information of the electronic structure of the cuprate parent compound,which is important for understanding the anomalous physical properties and superconductivity mechanism of the high temperature cuprate superconductors. 展开更多
关键词 CuO Evidence for multiple Underlying Fermi Surface and Isotropic Energy Gap in the Cuprate Parent Compound Ca2CuO2Cl2 Ca Cl
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The Additive-multiplicative Hazards Model for Multiple Type of Recurrent Gap Times
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作者 Zhang Qi-xian Liu Ji-cai +1 位作者 Guan Qiang Wang De-hui 《Communications in Mathematical Research》 CSCD 2015年第2期97-107,共11页
Recurrent event gap times data frequently arise in biomedical studies and often more than one type of event is of interest. To evaluate the effects of covariates on the marginal recurrent event hazards functions, ther... Recurrent event gap times data frequently arise in biomedical studies and often more than one type of event is of interest. To evaluate the effects of covariates on the marginal recurrent event hazards functions, there exist two types of hazards models: the multiplicative hazards model and the additive hazards model. In the paper, we propose a more flexible additive-multiplicative hazards model for multiple type of recurrent gap times data, wherein some covariates are assumed to be additive while others are multiplicative. An estimating equation approach is presented to estimate the regression parameters. We establish asymptotic properties of the proposed estimators. 展开更多
关键词 additive-multiplicative hazards model estimating equation gap time multiple recurrent event data semi-parametric regression model
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The Proportional Hazards Model for Multiple Type Recurrent Gap Times 被引量:1
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作者 Ji-cai LIU Huan-bin LIU Ri-quan ZHANG 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第1期221-230,共10页
Recurrent events data and gap times between recurrent events are frequently encountered in many clinical and observational studies,and often more than one type of recurrent events is of interest.In this paper,we consi... Recurrent events data and gap times between recurrent events are frequently encountered in many clinical and observational studies,and often more than one type of recurrent events is of interest.In this paper,we consider a proportional hazards model for multiple type recurrent gap times data to assess the effect of covaxiates on the censored event processes of interest.An estimating equation approach is used to obtain the estimators of regression coefficients and baseline cumulative hazard functions.We examine asymptotic properties of the proposed estimators.Finite sample properties of these estimators are demonstrated by simulations. 展开更多
关键词 proportional hazards model estimating equation multiple type recurrent events gap times semiparametric inference
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