Zobrazeno 1 - 10
of 13 972
pro vyhledávání: '"Nie, Y."'
Autor:
Fan, S., LaBollita, H., Gao, Q., Khan, N., Gu, Y., Kim, T., Li, J., Bhartiya, V., Li, Y., Sun, W., Yang, J., Yan, S., Barbour, A., Zhou, X., Cano, A., Bernardini, F., Nie, Y., Zhu, Z., Bisogni, V., Mazzoli, C., Botana, A. S., Pelliciari, J.
Superconductivity in infinite layer nickelates Nd1-xSrxNiO2 has so far been achieved only in thin films raising questions on the role of substrates and interfaces. Given the challenges associated with their synthesis it is imperative to identify thei
Externí odkaz:
http://arxiv.org/abs/2409.18258
Autor:
Pelliciari, J., Khan, N., Wasik, P., Barbour, A., Li, Y., Nie, Y., Tranquada, J. M., Bisogni, V., Mazzoli, C.
Recent works[1-3] reported evidence for charge density waves (CDWs) in infinite layer nickelates (112 structure) based on resonant diffraction at the Ni $L_3$ edge measured at fixed scattering angle. We have found that a measurement with fixed moment
Externí odkaz:
http://arxiv.org/abs/2306.15086
Autor:
Yuan H, Gui H, Chen S, Zhu L, Wang C, Jing Q, Lv H, Wan Q, Wang S, Zhou S, Ren X, Nie Y, Li L
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 3589-3605 (2024)
Haohua Yuan,1 Huan Gui,1 Shuanghui Chen,1 Lan Zhu,1 Chenglv Wang,1 Qianyu Jing,2 Hang Lv,1 Quan Wan,2 Shuyi Wang,1 Shengwen Zhou,1 Xiaodong Ren,1 Yingjie Nie,1,3 Linzhao Li1 1Medical College, Guizhou University, Guizhou Province, 550025, People’s R
Externí odkaz:
https://doaj.org/article/8f0ed17ffa934194835747bb3bd08e16
Publikováno v:
In Acta Materialia 15 August 2024 275
Publikováno v:
In Science of the Total Environment 15 August 2024 938
Publikováno v:
Journal of Hepatocellular Carcinoma, Vol Volume 10, Pp 1051-1067 (2023)
Yong Zhang,1 Kaisa Cui,2 Yaoxiang Yang,3 Bingxin Liu,4 Minzheng Zhu,1 Hanqing Chen,1 Chong Zhao,1 Youlian Zhou,1 Yuqiang Nie1 1Department of Gastroenterology and Hepatology, the Second Affiliated Hospital, School of Medicine, South China University o
Externí odkaz:
https://doaj.org/article/0a53309071874db39e805da2ffa45a16
We consider the problem of unsupervised domain adaptation for image classification. To learn target-domain-aware features from the unlabeled data, we create a self-supervised pretext task by augmenting the unlabeled data with a certain type of transf
Externí odkaz:
http://arxiv.org/abs/2010.07539
Publikováno v:
In Scripta Materialia December 2023 237
Publikováno v:
Psychology Research and Behavior Management, Vol Volume 16, Pp 997-1007 (2023)
Jing Wang,1 Shuanghu Fang,1 Chunying Yang,2 Xiaobin Tang,3 Luosha Zhu,3 Yu Nie4 1School of Educational Science, Anhui Normal University, Wuhu, People’s Republic of China; 2School of Special Education, Zhengzhou Normal University, Zhengzhou, People
Externí odkaz:
https://doaj.org/article/843cc9a0c90a4e3999896b8658893528