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11篇 您的检索式:作者名="Gan MengYu"
    题名 作者 年代 出处 被引量
1Preparation and charac- terization of chiral polyaniline/barium hexaferrite composite with enhanced microwave absorbing properties显示文摘Xu Fenfang Ma Li Gan Mengyu 2014J Alloys Compd2014,593,:1
2Magnetic PANI con- trolled by morphology with enhanced microwave absorbing property显示文摘Yanjun Li Li Ma Mengyu Gan 2015Materials Letters2015,140,:1
3Preparation and characterization of chiral polyaniline/barium hexaferrite composite with enhanced microwave absorbing properties 显示文摘Fen_fang Xu Li Ma Mengyu Gan 2014Journal of Alloys and Compounds2014,593,:1
4Magnetic PANI con- trolled by morphology with enhanced microwave absorbing property 显示文摘Li Yanjun Ma Li Gan Mengyu 2015Materials Letters2015,140,:1
5Preparation and characterization of chiral polyaniline/barium hexaferrite composite with enhanced microwave absorbing properties 显示文摘Xu Fenfang Ma Li Gan Mengyu 2014Journal of Alloys and Compounds2014,593,:1
6Synthesis of uniform polyaniline nanorods with the assistance of ethylene glycol显示文摘Wei Qiu Li Ma Mengyu Gan Jun Yan Shu Zeng Zhitao Li Youqian Bai 2014Journal of Nanoparticle Research2014,,4:1
7Synthesis of polyaniline-ti- tania nanotube arrays hybrid composite viaself-assembling and graft polymerization for supercapacitor application 显示文摘XIE Shuang GAN Mengyu MA Li 2014Elec- trochimica Acta2014,120,20:1
8Synthesis and characterization of polyaniline in magnetic field显示文摘Li Ma Xing Zheng Mengyu Gan Xinsheng Du Lijun Feng 2008Journal of Wuhan University of Technology - Mater Sci Ed2008,,3:1
9Characterization and anticorrosive properties of poly(2,3‐dimethylaniline)/nano‐Al2O3 composite synthesized by emulsion polymerization显示文摘Zhitao Li Li Ma Wanglin Li Mengyu Gan Wei Qiu Jun Yan 2013Polym. Adv. Technol2013,,9:1
10Prepa- ration and characterization of chiral polyaniline/barium hexaferrite composite with enhanced microwave absorb- ing properties 显示文摘Fenfang Xu Li Ma Mengyu Gan Jihai Tang 2014Journal of Alloys and Compounds2014,593,:1
11Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis显示文摘Total 200 properties related to structural characteristics were employed to represent structures of 400 HA coded proteins of influenza virus as training samples. Some recognition models for HA proteins of avian influenza virus (AIV) were developed using support vector machine (SVM) and linear discriminant analysis (LDA). The results obtained from LDA are as follows: the identification accuracy (Ria) for training samples is 99.8% and Ria by leave one out cross validation is 99.5%. Both Ria of 99.8% for training samples and Ria of 99.3% by leave one out cross validation are obtained using SVM model, respectively. External 200 HA proteins of influenza virus were used to validate the external predictive power of the resulting model. The external Ria for them is 95.5% by LDA and 96.5% by SVM, respectively, which shows that HA proteins of AIVs are preferably recognized by SVM and LDA, and the performances by SVM are superior to those by LDA.LIANG GuiZhao CHEN ZeCong YANG ShanBin MEI Hu ZHOU Yuan YANG Li ZHOU Peng YANG ShengXi SHU Mao LIAO ChunYang WU ShiRong LI GenRong HE Liu GAO JianKun Gan MengYu LI DeJing CHEN GuoPing WANG GuiXue LONG Sha JING JuHua ZHENG XiaoLin ZENG Hui ZHANG QiaoXia ZHANG MengJun YANG Qi TIAN FeiFei TONG JianBo WANG JiaoNa LIU YongHong LI Bo QIU LiangJia CAI ShaoXi ZHAO Na YANG Yan SU XiaLi SONG Jian CHEN MeiXia ZHANG XueJiao SUN JiaYing LI JingWei CHEN GuoHua CHEN Gang DENG Jie PENG ChuanYou ZHU WanPing XU LuoNan WU YuQuan LIAO LiMin LI Zhi LI Jun LU DaJun SU QinLiang HUANG ZhengHu ZHOU Ping LI ZhiLiang 2008Science China Chemistry2008,51,2:0
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