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Search Results: 1 - 10 of 28209 matches for " TIAN Cong-Xue "
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Synthesis of Ordered Mesoporous TiO2 from Industrial Titanyl Sulfate Solution and its Formation Mechanism
TIAN Cong-Xue,ZHANG Zhao
无机材料学报 , 2009, DOI: 10.3724/sp.j.1077.2009.00225
Abstract: Using composite template (CTAB and P123) as structurea2directing agents, industrial titanyl sulfate as Ti source, the precursor of mesoporous TiO2 was prepared via controlling the hydrolysis and condensation rate of industrial TiOSO4, self-assembly rate of template and pH value of solution. The asa2prepared materials were characterized by XRD, HRTEM, SAED and nitrogen adsorptiona2desorption.Ordered mesoporous anatase titania is obtained after template removal, with hexaganol mesopore, SBET of 205.7m2/g£ average pore diameter of 3.28nm. The formatiom process of mesopore belongs to cooperative formation mechanism, i.e. the hydrolysis colloid particles of titanium and composite template interact through static force and hydrogen bond on the interface, cooperating to form mesopore.
Synthesis of Ordered Mesoporous TiO2 from Industrial Titanyl Sulfate Solution and its Formation Mechanism

TIAN Cong-Xue,ZHANG Zhao,

无机材料学报 , 2009,
Abstract: 采用复合表面活性剂CTAB和P123形成的超分子模板为结构导向剂,以工业硫酸氧钛液为钛源,控制溶液pH值及水解条件调控TiOSO4的水解缩聚及与模板剂的自组装速率,钛水解胶粒通过界面作用形成介孔前驱体,脱模后制得二维六方,比表面积为205.7m2/g,平均孔径为3.28nm的锐钛型有序介孔TiO2. 用XRD、HRTEM、SAED及等温N2吸附等对样品进行了表征,初步探讨了介孔的形成过程. 钛水解胶粒和复合模板剂通过界面处的静电和氢键等相互作用,协同形成介孔结构,属协同作用机理.
Optimization of Intraday Trading Strategy Based on ACD Rules and Pivot Point System in Chinese Market  [PDF]
Xue Tian, Cong Quan, Jun Zhang, H. J. Cai
Journal of Intelligent Learning Systems and Applications (JILSA) , 2012, DOI: 10.4236/jilsa.2012.44029
Abstract: Various trading strategies are applied in intraday high-frequency market to provide investors with reference signals to be on the right side of market at the right time. In this paper, we apply a trading strategy based on the combination of ACD rules and pivot points system, which is first proposed by Mark B. Fisher, into Chinese market. This strategy has been used by millions of traders to achieve substantial profits in the last two decades, however, discussions concerning on the methods of calculating specific entry point in this trading strategy are rare, which is crucial to this strategy. We suggest an improvement to this popular strategy, providing the calculating and optimizing methods in detail to verify its effectiveness in recent Chinese futures market. Because of the high liquidity and low commissions in stock index futures market, this trading strategy achieves substantial profits .However, given the less liquidity in commodity futures market, profits decrease and even be neutralized by the relatively high commissions.
Automatic Variable Selection for High-Dimensional Linear Models with Longitudinal Data  [PDF]
Ruiqin Tian, Liugen Xue
Open Journal of Statistics (OJS) , 2014, DOI: 10.4236/ojs.2014.41005

High-dimensional longitudinal data arise frequently in biomedical and genomic research. It is important to select relevant covariates when the dimension of the parameters diverges as the sample size increases. We consider the problem of variable selection in high-dimensional linear models with longitudinal data. A new variable selection procedure is proposed using the smooth-threshold generalized estimating equation and quadratic inference functions (SGEE-QIF) to incorporate correlation information. The proposed procedure automatically eliminates inactive predictors by setting the corresponding parameters to be zero, and simultaneously estimates the nonzero regression coefficients by solving the SGEE-QIF. The proposed procedure avoids the convex optimization problem and is flexible and easy to implement. We establish the asymptotic properties in a high-dimensional framework where the number of covariates increases as the number of cluster increases. Extensive Monte Carlo simulation studies are conducted to examine the finite sample performance of the proposed variable selection procedure.

Detecting Spurious Counterexamples Efficiently in Abstract Model Checking
Cong Tian,Zhenhua Duan
Computer Science , 2011,
Abstract: Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample in the concrete model. Accordingly, the abstract model needs to be further refined. How to check whether or not a reported counterexample is spurious is a key problem in the abstraction-refinement loop. In this paper, a formal definition for spurious path is given. Based on it, efficient algorithms for detecting spurious counterexamples are proposed.
Making Abstraction Refinement Efficient in Model Checking
Cong Tian,Zhenhua Duan
Computer Science , 2010,
Abstract: Abstraction is one of the most important strategies for dealing with the state space explosion problem in model checking. In the abstract model, although the state space is largely reduced, however, a counterexample found in such a model may not be a real counterexample. And the abstract model needs to be further refined where an NP-hard state separation problem is often involved. In this paper, a novel method is presented by adding extra variables to the abstract model for the refinement. With this method, not only the NP-hard state separation problem is avoided, but also a smaller refined abstract model is obtained.
Buchi Determinization Made Tighter
Cong Tian,Zhenhua Duan
Computer Science , 2014,
Abstract: By separating the principal acceptance mechanism from the concrete acceptance condition of a given B\"{u}chi automaton with $n$ states,Schewe presented the construction of an equivalent deterministic Rabin transition automaton with $o((1.65n)^n)$ states via \emph{history trees}, which can be simply translated to a standard Rabin automaton with $o((2.26n)^n)$ states. Apart from the inherent simplicity, Schewe's construction improved Safra's construction (which requires $12^nn^{2n}$ states). However, the price that is paid is the use of $2^{n-1}$ Rabin pairs (instead of $n$ in Safra's construction). Further, by introducing the \emph{later introduction record} as a record tailored for ordered trees, deterministic automata with Parity acceptance condition is constructed which exactly resembles Piterman's determinization with Parity acceptance condition where the state complexity is $O((n!)^2)$ and the index complexity is $2n$.In this paper, we improve Schewe's construction to $2^{\lceil (n-1)/2\rceil}$ Rabin pairs with the same state complexity. Meanwhile, we give a new determinization construction of Parity automata with the state complexity being $o(n^2(0.69n\sqrt{n})^n)$ and index complexity being $n$.
Network Meta-Analysis of Erlotinib, Gefitinib, Afatinib and Icotinib in Patients with Advanced Non-Small-Cell Lung Cancer Harboring EGFR Mutations
Wenhua Liang, Xuan Wu, Wenfeng Fang, Yuanyuan Zhao, Yunpeng Yang, Zhihuang Hu, Cong Xue, Jing Zhang, Jianwei Zhang, Yuxiang Ma, Ting Zhou, Yue Yan, Xue Hou, Tao Qin, Xiaoxiao Dinglin, Ying Tian, Peiyu Huang, Yan Huang, Hongyun Zhao, Li Zhang
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0085245
Abstract: Background Several EGFR-tyrosine kinase inhibitors (EGFR-TKIs) including erlotinib, gefitinib, afatinib and icotinib are currently available as treatment for patients with advanced non-small-cell lung cancer (NSCLC) who harbor EGFR mutations. However, no head to head trials between these TKIs in mutated populations have been reported, which provides room for indirect and integrated comparisons. Methods We searched electronic databases for eligible literatures. Pooled data on objective response rate (ORR), progression free survival (PFS), overall survival (OS) were calculated. Appropriate networks for different outcomes were established to incorporate all evidences. Multiple-treatments comparisons (MTCs) based on Bayesian network integrated the efficacy and specific toxicities of all included treatments. Results Twelve phase III RCTs that investigated EGFR-TKIs involving 1821 participants with EGFR mutation were included. For mutant patients, the weighted pooled ORR and 1-year PFS of EGFR-TKIs were significant superior to that of standard chemotherapy (ORR: 66.6% vs. 30.9%, OR 5.46, 95%CI 3.59 to 8.30, P<0.00001; 1-year PFS: 42.9% vs. 9.7%, OR 7.83, 95%CI 4.50 to 13.61; P<0.00001) through direct meta-analysis. In the network meta-analyses, no statistically significant differences in efficacy were found between these four TKIs with respect to all outcome measures. Trend analyses of rank probabilities revealed that the cumulative probabilities of being the most efficacious treatments were (ORR, 1-year PFS, 1-year OS, 2-year OS): erlotinib (51%, 38%, 14%, 19%), gefitinib (1%, 6%, 5%, 16%), afatinib (29%, 27%, 30%, 27%) and icotinib (19%, 29%, NA, NA), respectively. However, afatinib and erlotinib showed significant severer rash and diarrhea compared with gefitinib and icotinib. Conclusions The current study indicated that erlotinib, gefitinib, afatinib and icotinib shared equivalent efficacy but presented different efficacy-toxicity pattern for EGFR-mutated patients. Erlotinib and afatinib revealed potentially better efficacy but significant higher toxicities compared with gefitinib and icotinib.
Proteomics Uncovers a Role for Enhanced Ultraviolet-B Radiation on Wheat Leaves  [PDF]
Jiangyan Duan, Xue Tian, Zhenhu Jia
American Journal of Plant Sciences (AJPS) , 2013, DOI: 10.4236/ajps.2013.46150

Wheat (Triticum aestivum), as a kind of important economic crop cultured in the Northern China, is affected by present-day enhanced ultraviolet-B (UV-B) radiation. To get the information of the impact by UV-B radiation on it, the proteins of wheat (Jin mai NO.8) leaves, which were divided into the normal light group (CK) and UV-B radiation group (B), were extracted and ran at SDS-PAGE at different treatment days (5, 6, 7). The proteins were also analyzed by run two-dimensional gel electrophoresis (2-DE), which allowed the identification of some significantly different gel spots. The proteins spots were further verified by Matrix-Assisted Laser Desorption/lonization-time of Flight Mass Spectrometry. The results showed: 1) the enhanced UV-B affects the growth of the wheat, as the visual changes appear on the sixth day; 2) the proteins expressions between the B group and the CK group were remarkably

Interferon-α enhances antitumor activities of oncolytic adenovirus-mediated IL-24 expression in hepatocellular carcinoma
Cong-Jun Wang, Chao-Wen Xiao, Tian-Geng You, Ya-Xin Zheng, Wei Gao, Zhu-Qing Zhou, Jun Chen, Xin-Bo Xue, Jia Fan, Hui Zhang
Molecular Cancer , 2012, DOI: 10.1186/1476-4598-11-31
Abstract: RT-PCR, ELISA assay and Western-blot confirmed that the exogenous IL-24 gene was highly expressed in HCC cells infected with SG600-IL-24. Treatment with combined IFN-α and SG600-IL-24 suppressed growth and promoted apoptosis of the HepG2, MHCC97L, and HCCLM3 cell lines compared with the normal cell line L02. The combined therapy increased STAT1 and SOCS1 and apoptosis, but decreased the expression of the metastatic and angiogenic proteins MMP-2, XIAP, OPN, and VEGF, which are regulated by STAT3 in HCC cells in vitro. To assess the effects in vivo, the HCC cell line HCCLM3 was transplanted subcutaneously into the right flanks of nude mice. Mice in the IFN-α group, the SG600-IL-24 group, or the combined therapy group had significantly suppressed growth of the HCC xenografted tumors compared to the PBS control group of mice. Among the mice treated with the combination of IFN-α and SG600-IL-24, three of those eight mice had long-term survival and no evidence of a tumor. These mice also had decreased expression of the metastatic and angiogenic proteins MMP-2, XIAP, OPN, and VEGF.The present study demonstrated for the first time the potential antitumor activity of IFN-α combined with the oncolytic adenovirus SG600-IL-24 in HCC both in vitro and in vivo, and suggests its further development as a potential candidate for HCC cancer gene therapy.
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