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On the Derivative Imbalance and Ambiguity of Functions 期刊论文
IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 卷号: 65, 期号: 9, 页码: 5833-5845
作者:  Fu, Shihui;  Feng, Xiutao;  Wang, Qiang;  Carlet, Claude
收藏  |  浏览/下载：164/0  |  提交时间：2020/01/10
Ambiguity  derivative imbalance  differential uniformity  Fourier transform  nonlinearity  
A recursive construction of permutation polynomials over F-q2 with odd characteristic related to Redei functions 期刊论文
DESIGNS CODES AND CRYPTOGRAPHY, 2019, 卷号: 87, 期号: 7, 页码: 1481-1498
作者:  Fu, Shihui;  Feng, Xiutao;  Lin, Dongdai;  Wang, Qiang
收藏  |  浏览/下载：143/0  |  提交时间：2020/01/10
Finite fields  Permutation polynomials  Compositional inverse  Redei functions  Dickson polynomials  
Further results on complete permutation monomials over finite fields 期刊论文
FINITE FIELDS AND THEIR APPLICATIONS, 2019, 卷号: 57, 页码: 47-59
作者:  Feng, Xiutao;  Lin, Dongdai;  Wang, Liping;  Wang, Qiang
收藏  |  浏览/下载：164/0  |  提交时间：2020/01/10
Finite fields  Permutation polynomials  Complete permutation polynomials  Monomials  
"Brain Connectivity Deviates by Sex and Hemisphere in the First Episode of Schizophrenia"A Route to the Genetic Basis of Language and Psychosis? 期刊论文
SCHIZOPHRENIA BULLETIN, 2019, 卷号: 45, 期号: 2, 页码: 484-494
作者:  Wang, Qiang;  Zhang, Jie;  Liu, Zhaowen;  Crow, Tim J.;  Zhang, Kai;  Palaniyappan, Lena;  Li, Mingli;  Zhao, Liansheng;  Li, Xiaojing;  Deng, Wei;  Guo, Wanjun;  Ma, Xiaohong;  Cheng, Wei;  Ma, Liang;  Wan, Lin;  Lu, Guangming;  Liu, Zhening;  Wang, Jijun;  Feng, Jianfeng;  Li, Tao
收藏  |  浏览/下载：231/0  |  提交时间：2020/01/10
resting-state fMRI  whole-brain functional connectivity analysis  sex-effect  lateralization  language  PCDH11XY  sexual selection  
Prediction of peanut protein solubility based on the evaluation model established by supervised principal component regression 期刊论文
FOOD CHEMISTRY, 2017, 卷号: 218, 页码: 553-560
作者:  Wang, Li;  Liu, Hongzhi;  Liu, Li;  Wang, Qiang;  Li, Shurong;  Li, Qizhai
收藏  |  浏览/下载：105/0  |  提交时间：2018/07/30
Prediction  Peanut protein solubility  Supervised principal component analysis  Evaluation model