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| 1 | A compact printed antenna for triple-bandWLAN/WiMAX applications 显示文摘 | ZHAIH MA Z HAN Y | 2013 | IEEE Antenna Wireless PropagationLett2013，12，： | 1 |
| 2 | ExtractionofberberinefromRhizomacoptidisbyimprovedmeth-od显示文摘 | ChenXQ(陈小全) ZhaiH(翟虎) ShaoHY(邵辉莹) etal | | 西南民族大学学报自科版0，，： | 1 |
| 3 | Annexin A2 promotes gliomacell invasion and tumor progression 显示文摘 | ZhaiH Acharya S Gravanis I | 2011 | J Neurosci2011，31，14： | 1 |
| 4 | A novel mutation in major intrinsic protein of the lens gene (MIP) underlies autosomal dominant cataract in a Chinese family显示文摘 | GuF ZhaiH LiD | 2007 | Mol Vis2007，13，： | 1 |
| 5 | Green Rice Leafhopper Resistance Gene Transferring Through Backcrossing and CAPS Marker Assisted Selection显示文摘Grh2, a green rice leafhopper resistant gene from an indica cultivar DV85, was located onchromosome 11, and two RFLP markers C189 and G1465 were found to be linked to this gene. In order totransfer Grh2 into Taichung65, a japonica cultivar with elite characters, backcross method with Taichung65as the recurrent parent was used and the two RFLP markers were converted into CAPS markers for marker as-sisted selection (MAS). In the BC6F3 population, both phenotypic evaluation and MAS were conducted toscreen the resistant plants with Taichung65 background. The linkage distance between CAPS markers andGrh2 was calculated and the efficiency of MAS was analyzed. | WANGChun-ming HideshiYasui AtsushiYoshimura SUChang-chao ZHAIH | 2003 | Agricultural Sciences in China2003，2，1： | 1 |
| 6 | ClinicalsignificanceoflongintergenicnoncodingRNA-p21incolorectalcancer显示文摘 | ZhaiH FeslerA ScheeK etal | 2013 | ClinColorectalCancer2013，12，4： | 1 |
| 7 | Accumulation of y-aminobutyric acidin giant-embryo rice grain in relation to glutamate decarboxylaseactivity and its gene expression during water soaking显示文摘 | LIU L L ZHAIH Q WAN J M | 2005 | CerealChemistry2005，82，2： | 1 |
| 8 | A kind of fast Gaussian particle filter based on Artificial Fish School Algorithm显示文摘This paper proposes an improved Gaussian particle filter integratingthe Artificial Fish School Algorithm to optimise the measured values to improve the overall estimation accuracy of the system.Meanwhile,it also solves the problems of susceptibility to interference and insufficient estimation accuracy in nonlinear systems.Furthermore,since the calculation time of the fusion algorithm increases,in order to ensure the speed of state estimation,the linear transformation of standard particle swarm is used to replace the particle sampling link of Gaussian particle filter.Simulation results show that the calculation speed of a fast Gaussian Particle Filter based on the Artificial Fish School Algorithm is 21.7%faster than the Particle Filter based on the Artificial Fish School Algorithm.Compared with Particle Filter,Gaussian particle filter,and the Artificial Fish School Algorithm,the proposed algorithm has a higher accuracy. | Zhaihe Zhou Jingmin Ma Qiqi Liu Qingxi Zeng Xiangrui Tian | 2022 | Journal of Control and Decision2022，9，2： | 0 |
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