English | 繁體

Search in the results

UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Characteristics of Nocturnal Boundary Layer over a Subtropical Forest: Implications for the Dispersion and Fate of Atmospheric Species Journal article
Jiang, Shaojie, Wang, Yaying, Huang, Xiangpeng, Liu, Ben, Nie, Dongyang, Ge, Yanli, Ma, Linqiang, Wang, Qiyuan, Wang, Junfeng, Ma, Yongjing, Jiang, Shutong, Shu, Zhufei, Zhang, Yingming, Sun, Jiayin, Wu, Cheng, Ge, Xinlei, Zhu, Lei, Shen, Huizhong, Wang, Chen, Zheng, Yi, Fu, Tzung May, Yang, Xin, Li, Yong Jie, Chen, Qi, Ye, Jianhuai. Characteristics of Nocturnal Boundary Layer over a Subtropical Forest: Implications for the Dispersion and Fate of Atmospheric Species[J]. Environmental Science and Technology, 2024.
Authors:  Jiang, Shaojie;  Wang, Yaying;  Huang, Xiangpeng;  Liu, Ben;  Nie, Dongyang; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.8/11.6 | Submit date：2024/11/05
Nocturnal Boundary Layer  Volatile Organic Compound  Unmanned Aerial Vehicle  Atmospheric Chemical Sensor  Subtropical Forest  
Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer Journal article
Ping Chen, Xu Zhang, Renbo Ding, Linglin Yang, Xueying Lyu, Jianming Zeng, Josh Haipeng Lei, Lijian Wang, Jiong Bi, Nan Shao, Ditian Shu, Bin Wu, Jingbo Wu, Zhihui Yang, Haiyan Wang, Biqiong Wang, Kang Xiong, Yun Lu, Shaozhi Fu, Tak Kan Choi, Ng Wai Lon, Aiping Zhang, Dongyang Tang, Yingyao Quan, Ya Meng, Kai Miao, Heng Sun, Ming Zhao, Jiaolin Bao, Lei Zhang, Xiaoling Xu, Yanxia Shi, Ying Lin, Chuxia Deng. Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer[J]. Advanced Science, 2021, 8(22), 2101176.
Authors:  Ping Chen;  Xu Zhang;  Renbo Ding;  Linglin Yang;  Xueying Lyu; et al.
Favorite | TC[WOS]:75 TC[Scopus]:75  IF:14.3/16.3 | Submit date：2021/11/30
Advanced Breast Cancer  Drug Screening  Patient-derived Organoids  Personalized Therapy  
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation Journal article
Huang, Haoen, Fu, Dongyang, Zhang, Jiazheng, Xiao, Xiuchun, Wang, Guancheng, Liao, Shan. Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation[J]. Applied Soft Computing Journal, 2020, 96, 106674.
Authors:  Huang, Haoen;  Fu, Dongyang;  Zhang, Jiazheng;  Xiao, Xiuchun;  Wang, Guancheng; et al.
Favorite | TC[WOS]:9 TC[Scopus]:8  IF:7.2/7.0 | Submit date：2021/12/06
Modified Newton Integration (Mni) Neural Algorithm  Multi-linear M-tensor Equation  Noise-suppression Ability  
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization Journal article
Huang, Haoen, Fu, Dongyang, Wang, Guancheng, Jin, Long, Liao, Shan, Wang, Huan. Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization[J]. Numerical Algorithms, 2020, 87(2), 575-599.
Authors:  Huang, Haoen;  Fu, Dongyang;  Wang, Guancheng;  Jin, Long;  Liao, Shan; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:1.7/1.9 | Submit date：2021/12/08
Modified Newton Integration (Mni) Algorithm  Noise-suppressing  Online Dynamic nOnlinear Optimization (Odno)  Steady-state Error