Zobrazeno 1 - 10
of 4 647
pro vyhledávání: '"Liu Guodong"'
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 4, Pp 522-542 (2023)
MIS6 to MIS5 is a typical transition period from glacial to interglacial periods. The climate elements of MIS5 are similar to that of the current warm period, and studying its evolution process can better understand the climate change process of the
Externí odkaz:
https://doaj.org/article/6d58c70d6c4e4566a1b77b004757fe8c
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 6, Pp 52-65 (2023)
Microneedles (MN) as a minimally invasive device consisting of a micro-raised array, can penetrate the cuticle to the epidermis and dermis, and which has the advantages of safety, painless, minimally invasive, self-administration and convenience. As
Externí odkaz:
https://doaj.org/article/c9acf8628b6a43339ac66ef1e6edaaad
Publikováno v:
Food and Energy Security, Vol 12, Iss 2, Pp n/a-n/a (2023)
Abstract Limited information is available on the influence of a one‐time application of controlled‐release nitrogen fertilizer (CRNF) in improving both yield and quality of rice. In this study, two rice cultivars, Jia58 (J58) and Jia67(J67), were
Externí odkaz:
https://doaj.org/article/48c254a731f94574b24c904537218dbf
Recent advances in unsupervised representation learning often rely on knowing the number of classes to improve feature extraction and clustering. However, this assumption raises an important question: is the number of classes always necessary, and do
Externí odkaz:
http://arxiv.org/abs/2409.04867
Autor:
Jia, Junjie, Gu, Yadong, Yin, Chaohui, Shu, Yingjie, Chen, Yiwen, Shi, Jumin, Zhang, Xing, Chen, Hao, Miao, Taimin, Ren, Xiaolin, Liang, Bo, Zhu, Wenpei, Cai, Neng, Zhang, Fengfeng, Zhang, Shenjin, Yang, Feng, Wang, Zhimin, Peng, Qinjun, Xu, Zuyan, Mao, Hanqing, Liu, Guodong, Ren, Zhian, Zhao, Lin, Zhou, X. J.
Publikováno v:
Chinese Physics B 33, 077404 (2024)
In iron-based superconductor Fe(Se,Te), a flat band-like feature near the Fermi level was observed around the Brillouin zone center in the superconducting state. It is under debate whether this is the evidence on the presence of the BCS-BEC crossover
Externí odkaz:
http://arxiv.org/abs/2407.20771
Autor:
Yin, Chaohui, Wang, Qinghong, Xie, Yuyang, Chen, Yiwen, Liu, Junhao, Yang, Jiangang, Jia, Junjie, Zhang, Xing, Lv, Wenkai, Yan, Hongtao, Rong, Hongtao, Zhang, Shenjin, Wang, Zhimin, Zong, Nan, Liu, Lijuan, Li, Rukang, Wang, Xiaoyang, Zhang, Fengfeng, Yang, Feng, Peng, Qinjun, Xu, Zuyan, Liu, Guodong, Mao, Hanqing, Zhao, Lin, Li, Xintong, Zhou, Xingjiang
Publikováno v:
Chinese Physics B 33, 077405 (2024)
In high temperature cuprate superconductors, it was found that in the overdoped region the superfluid density decreases with the increase of hole doping. One natural question is whether there exists normal fluid in the superconducting state in the ov
Externí odkaz:
http://arxiv.org/abs/2407.12744
Autor:
Tang, Haoteng, Liu, Guodong, Dai, Siyuan, Ye, Kai, Zhao, Kun, Wang, Wenlu, Yang, Carl, He, Lifang, Leow, Alex, Thompson, Paul, Huang, Heng, Zhan, Liang
The MRI-derived brain network serves as a pivotal instrument in elucidating both the structural and functional aspects of the brain, encompassing the ramifications of diseases and developmental processes. However, prevailing methodologies, often focu
Externí odkaz:
http://arxiv.org/abs/2405.13190
Autor:
Luo, Hailan, Zhao, Lin, Zhao, Zhen, Yang, Haitao, Huang, Yun-Peng, Liu, Hongxiong, Gu, Yuhao, Jin, Feng, Chen, Hao, Miao, Taimin, Yin, Chaohui, Shen, Chengmin, Ren, Xiaolin, Liang, Bo, Shu, Yingjie, Chen, Yiwen, Zhang, Fengfeng, Yang, Feng, Zhang, Shenjin, Peng, Qinjun, Mao, Hanqing, Liu, Guodong, Hu, Jiangping, Shi, Youguo, Xu, Zuyan, Jiang, Kun, Zhang, Qingming, Wang, Ziqiang, Gao, Hongjun, Zhou, X. J.
The newly discovered Kagome superconductors AV$_3$Sb$_5$ (A=K, Rb and Cs) continue to bring surprises in generating unusual phenomena and physical properties, including anomalous Hall effect, unconventional charge density wave, electronic nematicity
Externí odkaz:
http://arxiv.org/abs/2403.06085
Few-shot learning, a challenging task in machine learning, aims to learn a classifier adaptable to recognize new, unseen classes with limited labeled examples. Meta-learning has emerged as a prominent framework for few-shot learning. Its training fra
Externí odkaz:
http://arxiv.org/abs/2403.03472
In three dimensions, quasi-one-dimensional (Q1D) transport has traditionally been associated with systems featuring a Q1D chain structure. Here, based on first-principle calculations, we go beyond this understanding to show that the Q1D transport can
Externí odkaz:
http://arxiv.org/abs/2403.00371