Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Yu Yang yang"'
Autor:
Liu Na, Yu Yang-Yang
Publikováno v:
Open Mathematics, Vol 22, Iss 1, Pp 1877-1884 (2024)
We consider the long-time global dynamics of non-autonomous Oregonator systems. This system is a coupled system of three reaction-diffusion equations, that arises from the Belousov-Zhabotinskii reaction. We first present some sufficient conditions fo
Externí odkaz:
https://doaj.org/article/312c5f2c557c47ed874a5255dd1c3e4b
Autor:
Gu, Zheng, Chen, Kai-Yan, Ding, Xiao-Lu, Zhang, Xing, Cheng, Yuan-Yuan, Xiao, Xiang, Yu, Yang-Yang
Publikováno v:
In Sensors and Actuators: B. Chemical 15 January 2025 423
Publikováno v:
In Journal of Water Process Engineering June 2024 63
Autor:
Fu, Bao-Gang, Zhou, Xiangtong, Lu, Yilin, Quan, Wen-Zhu, Li, Chunmei, Cheng, Liang, Xiao, Xiang, Yu, Yang-Yang
Publikováno v:
In Journal of Hazardous Materials 15 May 2024 470
Publikováno v:
In Chemical Engineering Journal 15 April 2024 486
Publikováno v:
In Surfaces and Interfaces December 2023 43 Part A
Publikováno v:
In Journal of Cleaner Production 10 November 2023 426
Autor:
Yu Yang-Yang, Wang Fu-Zhang
Publikováno v:
Open Mathematics, Vol 20, Iss 1, Pp 1785-1799 (2022)
This work is to analyze a nonlocal dispersal model governed by a Volterra type integral and two space integrals. A weighted integral is included, and an existence result of solutions for this model is proved. We assume a suitably Hartman-type sign co
Externí odkaz:
https://doaj.org/article/cfd798fb4aa84b7ba29674194d960c75
Autor:
Tai Xu, Si-Ming Zhang, He-Ming Wu, Xiao-Min Wen, Dong-Qin Qiu, Yu-Yang Yang, Li-Zhen Wang, Wen-Biao Zhu, Li-Shan He, Jian-Juan Li
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Nutritional status and inflammation are closely associated with poor outcome in malignant tumors. However, the prognostic impact of postoperative in these variables on breast cancer (BC) remains inconclusive. We aimed to determine
Externí odkaz:
https://doaj.org/article/e2c6711c391c4c05a7d2136e7a6012c7
Publikováno v:
Jisuanji kexue, Vol 49, Iss 3, Pp 288-293 (2022)
Consistency-based semi-supervised learning methods typically use simple data augmentation methods to achieve consistent predictions for both original inputs and perturbed inputs.The effectiveness of this approach is difficult to be guaranteed when th
Externí odkaz:
https://doaj.org/article/38d8b3a284404904b72e92efdc557bfc