Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Kuo, Sun"'
Autor:
Xiu-Kuo Sun1,2, Shou-Ding Li1,2,3 lsdlyh@mail.iggcas.ac.cn, Xiao Li1,2,3, Guan-Fang Li1,2,3, Bo Zheng1,2,3, Tian-Qiao Mao1,2,3, Jing-Yun Guo1,2,3
Publikováno v:
Petroleum Science (KeAi Communications Co.). Dec2024, Vol. 21 Issue 6, p3899-3908. 10p.
Autor:
Chan, Hong Eng, Lim, Jia Yan, Fazlina, Abdul Hathi, Zhao, Liping, Feng, Qi, Lim, Pei Qi, Ng, Lily Siew Yong, Lim, Yin Yu, Tan, Pei Ting, Tan, Si Huei, Koo, Seok Hwee, Neo, Soon Keow, Tan, Alvin Kah Leong, Chandran, Rajkumar, Lu, Peter Kuo Sun
Publikováno v:
In American Journal of Otolaryngology--Head and Neck Medicine and Surgery January-February 2024 45(1)
Publikováno v:
BMC Plant Biology, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background Predicting relationships between plant functional traits and environmental effects in their habitats is a central issue in terms of classic ecological theories. Yet, only weak correlation with functional trait composition of local
Externí odkaz:
https://doaj.org/article/97f0e2792e3a44a8a7894c918c464ebe
Autor:
Fengqi Xuan, Zhongyin Zuo, Jie Zhang, Shibei Zhang, Zichen Liu, Yunfan Meng, Kuo Sun, Yaling Han, Ming Liang, Zulu Wang
Publikováno v:
Cardiology Research and Practice, Vol 2024 (2024)
Background. Catheter ablation failure poses a clinical challenge for epicardial or intramural ventricular arrhythmia (VA); however, guidewire ablation within the coronary venous system (CVS) may be effective and safe for targeting VAs. Methods. The e
Externí odkaz:
https://doaj.org/article/0f1f736ec8be42a0a37c73a7f441a5e6
Autor:
Xueling Wang, Qiang Lyu, Tiezheng Tong, Kuo Sun, Li-Chiang Lin, Chuyang Y. Tang, Fenglin Yang, Michael D. Guiver, Xie Quan, Yingchao Dong
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
The development of highly water-permeable membranes is key for the treatment of high salinity waters. Here the authors enhance the water permeability of a metal-organic framework nanoporous membrane via an intra-crystalline defect engineering strateg
Externí odkaz:
https://doaj.org/article/50eb8a93e8404baebf044241ea30ed8c
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 7, Iss 5, Pp 1093-1101 (2021)
Externí odkaz:
https://doaj.org/article/f0c246ddc6544947945a26203310a5ca
Autor:
Hao Zhang, Yan Hu, Xiao Chen, Sicheng Wang, Liehu Cao, Shiwu Dong, Zhongmin Shi, Yanxi Chen, Liming Xiong, Yunfei Zhang, Dianying Zhang, Baoqing Yu, Wenming Chen, Qining Wang, Peijian Tong, Ximing Liu, Jianzheng Zhang, Qiang Zhou, Feng Niu, Weiguo Yang, Wencai Zhang, Yong Wang, Shijie Chen, Jinpeng Jia, Qiang Yang, Peng Zhang, Yong Zhang, Jun Miao, Kuo Sun, Tao Shen, Bin Yu, Lei Yang, Lei Zhang, Dongliang Wang, Guohui Liu, Yingze Zhang, Jiacan Su
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Osteoporotic fractures, also known as fragility fractures, are prevalent in the elderly and bring tremendous social burdens. Poor bone quality, weak repair capacity, instability, and high failure rate of internal fixation are main characteristics of
Externí odkaz:
https://doaj.org/article/1f1f87e4fa6f4eaaa74af30eac691ded
Autor:
Han Gao, Yong-jie Chen, Xiu-qiong Xu, Zhi-ying Xu, Si-jia Xu, Jia-bao Xing, Jing Liu, Yun-feng Zha, Yan-kuo Sun, Gui-hong Zhang
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
Senecavirus A (SVA) is a member of the genus Senecavirus in the family Picornaviridae that infects pigs and shows symptoms similar to foot and mouth diseases and other vesicular diseases. It is difficult to prevent, thus, causing tremendous economic
Externí odkaz:
https://doaj.org/article/3070495790974129bbb37a09ff9b8b51
Autor:
Zhi-ying Xu, Han Gao, Qi-yuan Kuang, Jia-bao Xing, Zhi-yuan Wang, Xin-yu Cao, Si-jia Xu, Jing Liu, Zhao Huang, Ze-zhong Zheng, Lang Gong, Heng Wang, Mang Shi, Gui-hong Zhang, Yan-kuo Sun
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2022)
African swine fever (ASF) outbreak have caused tremendous economic loss to the pig industry in China since its emergence in August 2018. Previous studies revealed that many published sequences are not suitable for detailed analyses due to the lack of
Externí odkaz:
https://doaj.org/article/01caaea9daa946f68064db32ca76eb21
Autor:
Kuo Sun, Xinlong Feng
Publikováno v:
Entropy, Vol 25, Iss 4, p 674 (2023)
Physics-informed neural networks (PINNs) are effective for solving partial differential equations (PDEs). This method of embedding partial differential equations and their initial boundary conditions into the loss functions of neural networks has suc
Externí odkaz:
https://doaj.org/article/72375ff01243432498636121964134cf