Zobrazeno 1 - 10
of 759
pro vyhledávání: '"Zhao, XinMing"'
Autor:
Zhao, Xinming, Guo, Guoliang, Yan, Chengyu, Yuan, Noah F. Q., Zhao, Chuanwen, Guan, Huai, Lan, Changshuai, Li, Yihang, Liu, Xin, Wang, Shun
Symmetry breaking in a layered superconductor with Ising spin-orbit coupling has offered an opportunity to realize unconventional superconductivity. To be more specific, orbital Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) state, exhibiting layer-dependen
Externí odkaz:
http://arxiv.org/abs/2411.08980
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 5, Pp 1217-1223 (2024)
ObjectiveTo explore how the joint-teaching mode of tomographic-radiologic anatomy and topographic anatomy in a way of case-based learning (CBL) promotes the education of medical students.MethodsAccording to the principle of systematic random sampling
Externí odkaz:
https://doaj.org/article/c1b3dd3875da479cbaeea0b0a51da539
Autor:
Lan, Changshuai, Zhao, Chuanwen, Yi, Xin, Chen, Qiao, Zhao, Xinming, Wu, Dong, Yan, Chengyu, Wang, Shun
The study of the interaction between superconductivity and charge ordering is helpful to resolve the pairing mechanism in high-temperature superconductors. Recently, several resistance oscillations studies trigger the speculation that a long-range ch
Externí odkaz:
http://arxiv.org/abs/2212.03584
Autor:
Zhang, Xinxin, Wang, Yichen, Xu, Xiaojuan, Hu, Mancang, Wang, Sicong, Chen, Yan, Zhao, Xinming
Publikováno v:
In Academic Radiology December 2024 31(12):5034-5041
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 November 2024 703 Part 1
Publikováno v:
In Academic Radiology September 2024 31(9):3635-3646
Autor:
Feng, Bing, Wang, Leyao, Zhu, Yongjian, Ma, Xiaohong, Cong, Rong, Cai, Wei, Liu, Siyun, Hu, Jiesi, Wang, Sicong, Zhao, Xinming
Publikováno v:
In Academic Radiology June 2024 31(6):2381-2390
Autor:
Miao, Jiaqi, Yu, Jialuo, Zhao, Xinming, Chen, Xinru, Zhu, Congzheng, Cao, Xin, Huang, Yan, Li, Bowei, Wu, Yixuan, Chen, Lingxin, Wang, Xiaoyan
Publikováno v:
In Journal of Hazardous Materials 15 May 2024 470
PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans
Autor:
Liu, Weihua, Liua, Xiabi, Luo, Xiongbiao, Wang, Murong, Han, Guanghui, Zhao, Xinming, Zhu, Zheng
This paper proposes a new convolutional neural network with multiscale processing for detecting ground-glass opacity (GGO) nodules in 3D computed tomography (CT) images, which is referred to as PiaNet for short. PiaNet consists of a feature-extractio
Externí odkaz:
http://arxiv.org/abs/2009.05267
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