Zobrazeno 1 - 10
of 119 153
pro vyhledávání: '"ZHANG, Yu"'
Autor:
Zhang, Yu
Publikováno v:
Известия Саратовского университета. Новая серия. Серия Филология: Журналистика, Vol 24, Iss 2, Pp 228-233 (2024)
This article deals with the peculiarities of the teacher’s interaction with the Russian and Chinese student audiences in the process of teaching in the higher education system of the Russian Federation. Russian and Chinese students’ audience feat
Externí odkaz:
https://doaj.org/article/b7e733de23ab48beaf6bdf57641de577
This is an open access book. It is valuable in gaining an understanding of the working mechanism of pulsed plasma thrusters. It facilitates the evaluation of the thruster's working characteristics and propulsive performance, thereby providing a cruci
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/94632
Autor:
Mazin, Ilia, Zhang, Yu
The hybridization between light and matter is fundamental for achieving cavity-induced control over quantum materials, necessitating accurate ab initio methods for their analysis. Among these, the quantum electrodynamics Hartree-Fock framework stands
Externí odkaz:
http://arxiv.org/abs/2411.15022
Accurate short-term energy consumption forecasting for commercial buildings is crucial for smart grid operations. While smart meters and deep learning models enable forecasting using past data from multiple buildings, data heterogeneity from diverse
Externí odkaz:
http://arxiv.org/abs/2411.14421
Using relativistic multiconfiguration Dirac-Hartree-Fock method, we calculate the hyperfine-structure properties of the $2s2p$ $^3\!P_{J}$ state in $^9$Be. The hyperfine-structure properties encompass first-order hyperfine-structure parameters, as we
Externí odkaz:
http://arxiv.org/abs/2411.13013
The identification of two-dimensional van der Waals ferromagnetic materials has significantly expanded the realm of magnetic materials and enabled innovative control techniques such as gating and stacking. The dynamical behavior of magnetization is p
Externí odkaz:
http://arxiv.org/abs/2411.12544
In a recent paper, Phys. Rev. Lett. {\bf 126}, 132001 (2021), the LHCb data on the di-$J/\psi$ production in proton-proton collisions were analysed in a coupled-channel framework based on double-vector-charmonium channels. This investigation identifi
Externí odkaz:
http://arxiv.org/abs/2411.12062
In this paper, we introduce a novel normative modeling approach that incorporates focal loss and adversarial autoencoders (FAAE) for Alzheimer's Disease (AD) diagnosis and biomarker identification. Our method is an end-to-end approach that embeds an
Externí odkaz:
http://arxiv.org/abs/2411.10570
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345