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Search Results: 1 - 10 of 35973 matches for " Gang CHENG "
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Progress of clinical research in
Chinese Journal of Lung Cancer , 2008,
Abstract: The both incidence and mortality of non-small-cell lung cancer(NSCLC) have been obviously increasing in recent years, the chemotherapy is still one of the best systemic treatment with response rates of 20%-40% by different regimens. We still need more logical and more accuracy to use the agents against NSCLC if we try to improve the efficacy. Biological markers for predicting the efficacy based on different molecular characteristic of NSCLC is important. With the development of molecular biology in past years, we have realized the different expression of ERCC1, RRM1, Beta-tubulin, BRCA1 and Thymidylate synthetase(TS) may be related to the efficacy of different chemotherapeutic agents and prognosis in NSCLC. So it is possible for predicting results of chemotherapeutic agents with those different markers, "tailor" chemotherapy. This article is a clinicalreview in the fields.
Temporal Characteristic of M--M Transition Lasers in Strontium Atom Vapour

CHEN Gang,CHENG Cheng,

中国物理快报 , 2008,
Abstract: The kinetic process of Sr atom metastable--metastable transition lasers in He--Sr longitudinal pulsed discharge is analysed and a concise self-consistent physical model is developed. The temporal evolutions of discharge parameters, main particle densities, the electron temperature, and the lasing pulses are numerically calculated. The results provided by the model agree well with the experiment, and the temporal behaviour of each laser pulse is explained successfully by the simulation results.
Chemotherapy of Advanced Non-small Cell Lung Cancer in Elderly Patients
Chinese Journal of Lung Cancer , 2009,
Adverse Events Related to Bevacizumab and the Management Principles in Non-small Cell Lung Cancer
Chinese Journal of Lung Cancer , 2010,
Analyses about the Cited Papers of New Technology of Library and Information Service

Cheng Gang,

现代图书情报技术 , 2001,
Abstract: Based on CD-ROM database of Chinese Social Sciences Citation Index (CSSCI)(1998),developed by Chinese Social Science Research and Assessment Center of Nanjing University,this paper provides statistical analyses about the papers of New Technology of Library and Information Service that are cited by the journals included in CSSCI(1998).
PLP2 of Mouse Hepatitis Virus A59 (MHV-A59) Targets TBK1 to Negatively Regulate Cellular Type I Interferon Signaling Pathway
Gang Wang,Gang Chen,Dahai Zheng,Genhong Cheng,Hong Tang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0017192
Abstract: Coronaviruses such as severe acute respiratory syndrome (SARS) coronavirus (SCoV) and mouse hepatitis virus A59 (MHV-A59) have evolved strategies to disable the innate immune system for productive replication and spread of infection. We have previously shown that papain-like protease domain 2 (PLP2), a catalytic domain of the nonstructural protein 3 (nsp3) of MHV-A59, encodes a deubiquitinase (DUB) and inactivates IFN regulatory factor 3 (IRF3) thereby the type I interferon (IFN) response.
MgO-decorated carbon nanotubes for CO2 adsorption: first principles calculations

Zhu Feng,Dong Shan,Cheng Gang,

中国物理 B , 2011,
Abstract: The global greenhouse effect makes it urgent to deal with the increasing greenhouse gases. In this paper the performance of MgO-decorated carbon nanotubes for CO2 adsorption is investigated through first principles calculations. The results show that the MgO-decorated carbon nanotubes can adsorb CO2 well and are relatively insensitive to O2 and N2 at the same time. The binding energy arrives at 1.18 eV for the single-MgO-decorated carbon nanotube adsorbing one CO2 molecule, while the corresponding values for O2 and N2 are 0.55 eV and 0.06 eV, respectively. In addition, multi-molecule adsorption is also proved to be very satisfactory. These results indicate that MgO-decorated carbon nanotubes have great potential applications in industrial and environmental processes.
Stabilization of a class of switched nonlinear systems

Daizhan CHENG,Gang FENG,Zairong XI,

控制理论与应用 , 2006,
Abstract: The stabilization of a class of switched nonlinear systems is investigated in the paper. The systems con- cerned are of (generalized) switched Byrnes-Isidori canonical form, which has all switched models in (generalized) Byrnes- Isidori canonical form. First, a stability result of switched systems is obtained. Then it is used to solve the stabilization prob- lem of the switched nonlinear control systems. In addition, necessary and sufficient conditions are obtained for a switched affine nonlinear system to be feedback equivalent to (generalized) switched Byrnes-Isidori canonical systems are presented. Finally, as an application the stability of switched lorenz systems is investigated.
Ordered Mesostructured CdS Nanowire Arrays with Rectifying Properties
Yuan Na,Cheng Gang,An Yanqing,Du Zuliang
Nanoscale Research Letters , 2009,
Abstract: Highly ordered mesoporous CdS nanowire arrays were synthesized by using mesoporous silica as hard template and cadmium xanthate (CdR2) as a single precursor. Upon etching silica, mesoporous CdS nanowire arrays were produced with a yield as high as 93 wt%. The nanowire arrays were characterized by XRD, N2adsorption, TEM, and SEM. The results show that the CdS products replicated from the mesoporous silica SBA-15 hard template possess highly ordered hexagonal mesostructure and fiber-like morphology, analogous to the mother template. The current–voltage characteristics of CdS nanoarrays are strongly nonlinear and asymmetrical, showing rectifying diode-like behavior.
Forecast Combination Under Heavy-Tailed Errors
Gang Cheng,Sicong Wang,Yuhong Yang
Statistics , 2015,
Abstract: Forecast combination has been proven to be a very important technique to obtain accurate predictions. In many applications, forecast errors exhibit heavy tail behaviors for various reasons. Unfortunately, to our knowledge, little has been done to deal with forecast combination for such situations. The familiar forecast combination methods such as simple average, least squares regression, or those based on variance-covariance of the forecasts, may perform very poorly. In this paper, we propose two nonparametric forecast combination methods to address the problem. One is specially proposed for the situations that the forecast errors are strongly believed to have heavy tails that can be modeled by a scaled Student's t-distribution; the other is designed for relatively more general situations when there is a lack of strong or consistent evidence on the tail behaviors of the forecast errors due to shortage of data and/or evolving data generating process. Adaptive risk bounds of both methods are developed. Simulations and a real example show superior performance of the new methods.
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