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42篇 您的检索式:作者名="Pingfeng"
    题名 作者 年代 出处 被引量
1Tissue microarray for high-throughput analysis of gene expression profiles in hepatocellular carcinoma显示文摘AIM: To study the expression profiles of HBsAg, HBcAg,p21WAF1/CIP1 (p21), Rb genes in hepatocellular carcinoma (HCC) and to investigate their roles in the hepatocarcinogenesis.METHODS: HCC tissue microarray containing 120-min tissues of 40 HCC cases was constructed. HBsAg, HBc Ag,p21 and Rb proteins were immunohistochemically stained by streptavidin-peroxidase conjugated method (S-P). The expression loss of these genes in cancerous, paracancerous tissues and adjacent normal liver tissues of 40HCCs were comparatively examined.RESULTS: The positive rate of HBsAg expression in cancerous tissues of 40 HCCs was 7.5%, which was lower than that in para-cancerous and adjacent normal liver tissues (x2 =12.774, P<0.01; x2= 18.442, P<0.01). The positive rate of HBcAg expression in cancerous tissues of 40 HCCs was 20.0%, which was also lower than that in para-cancerous and adjacent normal liver tissues(x2= 9.482, P<0.01; x2= 14.645, P<0.01). p21 protein deletion rate in cancerous tissues of 40 HCCs was 27.5%,which was higher than that in para-cancerous and adjacent normal liver tissues (x2 = 7.439, P<0.01; x2 = 11.174,P<0.01). p21 protein deletion correlated remarkably with the pathological grade of HCC (x2 = 0.072, P<0.05). Rb protein deletion rate in cancerous tissues of 40 HCCs was42.5%, which was also higher than that in para-cancerous and adjacent normal liver tissues (x2 = 10.551, P<0.01;x2= 18.353, P<0.01). Rb protein deletion rate did not correlate remarkably with tumor size or pathological grade of HCC (x2 = 0.014, P>0.05; x2 = 0.017, P>0.05).CONCLUSION: Expression deletion of HBsAg, HBcAg, p21and Rb proteins in HCCs may play important roles in the carcinogenesis of HCC. Tissue microarray is an effective high-throughput technique platform for cancer research.KaiLiu Xue-ZhongLei Lian-SanZhao HongTang LiLIu PingFeng Bing-JunLei 2005World Journal of Gastroenterology2005,11,9:7
2基于函数主元分析的多阶段退化过程建模与预测显示文摘退化过程建模与预测作为设备健康管理的基础,是降低运行风险和维护成本的有效途径。为解决实际中退化过程所表现出的随机性、非线性和多阶段复杂性,提出了一种基于函数主元分析的多阶段退化过程自适应建模与预测方法。通过将退化测量值视为连续函数的离散采样值,从而将退化建模问题转换为函数型数据分析问题。在此基础上,利用函数主元分析方法对退化数据进行降维,提取设备退化的共性信息以及个体差异性信息。结合贝叶斯推理,利用在线监测数据更新退化模型参数,实现健康状态的在线实时预测。最后,将所提的方法用于散热风扇的加速寿命试验数据,验证了本方法的有效性。结果表明,所提方法可以地很好建模多阶段的复杂随机退化过程,具有潜在的工程应用价值。张彬 章立军 罗久飞 张毅 Wang Pingfeng 2019仪器仪表学报2019,40,7:3
3Support vector machines with simulated annealing algorithms in electricity load forecasting 显示文摘Pal Pingfeng Hong Weichang 2005Energy Conversion and Management2005,46,17:1
4Nanoindentation identifications of mechanical properties of Cu6Sns, Cu3Sn, and Ni3Sn4 intermetallic compounds derived by diffusion couples显示文摘Yang Pingfeng Lai Yishao Jian Shengrui 2008Materials Science andEngineering: A2008,485,:1
5Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting显示文摘Pai Pingfeng Hong Wei-Chiang 2005Energy Conversion and Management2005,46,2:1
6Software Reliability Forecasting by Support Vector Machines with Simulated Annealing Algorithms显示文摘Pai Pingfeng Hong Wei-Chiang 2006System Software2006,79,5:1
7Preparation of activated carbon fibers supported TiO 2 photocatalyst and evaluation of its photocatalytic reactivity显示文摘Pingfeng Fu Yong Luan Xuegang Dai 2004Journal of Molecular Catalysis A Chemical2004,,1:1
8A hybrid ARIMA and support vec- tor machines model in stock price foreeasting显示文摘Pal Pingfeng Lin C 2005Ome- ga2005,33,6:1
9Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms显示文摘Pai Pingfeng Hong Weichiang 2005Electric Power Systems Research2005,74,3:1
10Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms显示文摘Pai Pingfeng Hong Weichiang 2005Electric Power Systems Research2005,74,3:1
11Knowledge sha- ring in dynamic virtual enterprises: A socio-technologieal perspective 显示文摘LIU PINGFENG RAAHEMI B BENYOUCEF M 2011Knowledge-Based Systems2011,24,3:1
12Preparation of activated carbon fibers supported TiO2 photocatalyst显示文摘Fu Pingfeng Luan Yong Dai Xuegang 2004JMolCatalA: Chern2004,221,1:1
13Uniform dispersion ofAu nanoparticles on TiO2 film via electrostatic self-assembly for photocatalytic degradation of bisphenolA显示文摘Fu Pingfeng Zhang Pengyi 2010Applied Catalysis B: Environmental2010,96,12:1
14Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms 显示文摘Pai Pingfeng Hong Weichiang 2005Electric Power Systems Research2005,74,3:1
15Support vector machines with simulated annealing algorithms in electricity load forecasting 显示文摘Pai Pingfeng Hong Weichiang 2005Energy Conversion and Management2005,46,:1
16The N‐terminal domains of SOCS proteins: A conserved region in the disordered N‐termini of SOCS4 and 5显示文摘Zhi‐PingFeng Indu R.Chandrashekaran AndrewLow Terence P.Speed Sandra E.Nicholson Raymond S.Norton 2012Proteins2012,,3:1
17An Experimental investigation of the frictional pressure drop of steam-water two- phase flow in helical coils显示文摘Lie Jinguo Zi Pingfeng 2001International Journal of Heat and Mass Transfer2001,44,:1
18Enhancement of photocatalytic activity over NaBiO 3 /BiOCl composite prepared by an in situ formation strategy显示文摘Xiaofeng Chang Gang Yu Jun Huang Zheng Li Shufeng Zhu Pingfeng Yu Cheng Cheng Shubo Deng Guangbin Ji 2010Catalysis Today2010,,3:1
19Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective显示文摘Pingfeng Liu Bijan Raahemi Morad Benyoucef 2010Knowledge-Based Systems2010,,3:1
20System reliability forecasting by support vector machines with genetic algorithms 显示文摘PAl PingFeng 2006Mathematical and Computer Modelling2006,4,34:1
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