Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Weikang, Li"'
Autor:
Liang Xiang, Wenjie Jiang, Zehang Bao, Zixuan Song, Shibo Xu, Ke Wang, Jiachen Chen, Feitong Jin, Xuhao Zhu, Zitian Zhu, Fanhao Shen, Ning Wang, Chuanyu Zhang, Yaozu Wu, Yiren Zou, Jiarun Zhong, Zhengyi Cui, Aosai Zhang, Ziqi Tan, Tingting Li, Yu Gao, Jinfeng Deng, Xu Zhang, Hang Dong, Pengfei Zhang, Si Jiang, Weikang Li, Zhide Lu, Zheng-Zhi Sun, Hekang Li, Zhen Wang, Chao Song, Qiujiang Guo, Fangli Liu, Zhe-Xuan Gong, Alexey V. Gorshkov, Norman Y. Yao, Thomas Iadecola, Francisco Machado, H. Wang, Dong-Ling Deng
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Topologically ordered phases of matter elude Landau’s symmetry-breaking theory, featuring a variety of intriguing properties such as long-range entanglement and intrinsic robustness against local perturbations. Their extension to periodica
Externí odkaz:
https://doaj.org/article/14f2fd3dd5c34d0aa9e0fe0b3f5f84af
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract An essential problem in quantum machine learning is to find quantum-classical separations between learning models. However, rigorous and unconditional separations are lacking for supervised learning. Here we construct a classification proble
Externí odkaz:
https://doaj.org/article/e7e770367d2f44028e16cbafb0dd2ba8
Autor:
Xi Gu, Yindi Dong, Xuemei Wang, Zhigang Ren, Guanhua Li, Yaxin Hao, Jian Wu, Shiyuan Guo, Yajuan Fan, Hongyan Ren, Chao Liu, Suying Ding, Weikang Li, Ge Wu, Zhangsuo Liu
Publikováno v:
Renal Failure, Vol 46, Iss 2 (2024)
This study aimed to identify biomarkers for chronic kidney disease (CKD) by studying serum metabolomics. Serum samples were collected from 194 non-dialysis CKD patients and 317 healthy controls (HC). Using ultra-high-performance liquid chromatography
Externí odkaz:
https://doaj.org/article/2f7f56e56a4c406696cde90b6df6fe4d
Publikováno v:
Earthquake Science, Vol 37, Iss 3, Pp 263-276 (2024)
On February 6, 2023, a devastating earthquake with a moment magnitude of MW7.8 struck the town of Pazarcik in south-central Türkiye, followed by another powerful earthquake with a moment magnitude of MW7.6 that struck the nearby city of Elbistan 9 h
Externí odkaz:
https://doaj.org/article/e5d6742691f74eb79c8e64466611eb47
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Radiologic volumetric evaluation of Wilms’ tumor (WT) is an important indicator to guide treatment decisions. However, due to the heterogeneity of the tumors, radiologists have main-guard differences in diagnosis that can lead t
Externí odkaz:
https://doaj.org/article/a2587b4f97544b268ed2334507188188
Autor:
Weikang Li, Shengnan Cui, Jian Zhao, Luming An, Chao Yu, Yan Ding, Hongmiao Jing, Qingkuan Liu
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10588 (2024)
The topography of mountainous areas is characterized by large undulations, which lead to a very complex wind field at bridge sites in mountain valleys. The influence of oncoming wind speed on long-span bridges built in mountain valleys is quite prono
Externí odkaz:
https://doaj.org/article/f442e4e2deeb4890bde1ad4ea86b4011
Autor:
Weiliang Yao, Yixuan Li, Marco Olguin, Shuang Bai, Marshall A. Schroeder, Weikang Li, Alex Liu, Na Ri Park, Bhargav Bhamwala, Baharak Sayahpour, Ganesh Raghavendran, Oleg Borodin, Minghao Zhang, Ying Shirley Meng
Publikováno v:
Next Energy, Vol 4, Iss , Pp 100136- (2024)
Severe capacity degradation at high operating voltages and poor interphase stability at elevated temperature have thus far precluded the practical application of LiNi0.5Mn1.5O4 (LNMO) as a cathode material for lithium-ion batteries. Addressing these
Externí odkaz:
https://doaj.org/article/5326032625694251b28ca7ef80f2d1bf
Publikováno v:
BioResources, Vol 18, Iss 4, Pp 7731-7744 (2023)
Elastic materials for seat foundations come in a variety of materials, shapes, and dimensions. However, it is difficult to measure the stress-strain relationships of many elastic material combinations by conventional uniaxial compression tests. This
Externí odkaz:
https://doaj.org/article/c65b92f48a2b47da943ef9ad702d65f8
Autor:
Weikang Li1,2, Lijiang Zhao3, Kai Tan1 whgpstan@163.com, Xiaofei Lu1,2, Caihong Zhang1, Chengtao Li1, Shuaishuai Han1
Publikováno v:
Earthquake Science. Jun2024, Vol. 37 Issue 3, p263-276. 14p.
Autor:
Xiaoxuan Pan, Zhide Lu, Weiting Wang, Ziyue Hua, Yifang Xu, Weikang Li, Weizhou Cai, Xuegang Li, Haiyan Wang, Yi-Pu Song, Chang-Ling Zou, Dong-Ling Deng, Luyan Sun
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-7 (2023)
Abstract Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report an experime
Externí odkaz:
https://doaj.org/article/0835ffd8bd004cd89dc7c49d78f04225