Zobrazeno 1 - 10
of 2 911
pro vyhledávání: '"Gao, Dong"'
We give a complete classification of isoparametric hypersurfaces in a product space $M^2_{\kappa_1}\times M^2_{\kappa_2}$ of $2$-dimensional space forms for $\kappa_i\in \{-1,0,1\}$ with $\kappa_1\neq \kappa_2$. In fact we prove that any isoparametic
Externí odkaz:
http://arxiv.org/abs/2309.15387
Publikováno v:
The Astronomical Journal (2022), Volume 164, Number 5
The habitability of planets is closely connected with the stellar activity, mainly the frequency of flares and the distribution of flare energy. Kepler and TESS find many flaring stars are detected via precise time-domain photometric data, and the fr
Externí odkaz:
http://arxiv.org/abs/2301.07552
Autor:
Guo, Di-Fu., Li, Kai, Liu, 1 Fen, Xia, Huai-Zhen Li Qi-Qi, Gao, Xing, Gao, Xiang, Chen, Xu, Gao, Dong-Yang, Sun, Guo-You
Photometric observations for the totally eclipsing binary system TYC 4002-2628-1, were obtained between November 2020 and November 2021. To determine the stellar atmospheric parameters, a spectral image was taken with the 2.16 m telescope at National
Externí odkaz:
http://arxiv.org/abs/2209.15175
In this paper, we study hypersurfaces in $\mathbb{H}^2\times\mathbb{H}^2$. We first classify the hypersurfaces with constant principal curvatures and constant product angle function. Then, we classify homogeneous hypersurfaces and isoparametric hyper
Externí odkaz:
http://arxiv.org/abs/2209.10467
Hazard and operability analysis (HAZOP) is the paradigm of industrial safety that can reveal the hazards of process from its node deviations, consequences, causes, measures and suggestions, and such hazards can be considered as hazard events (HaE). T
Externí odkaz:
http://arxiv.org/abs/2209.05263
Hazards can be exposed by HAZOP as text information, and studying their classification is of great significance to the development of industrial informatics, which is conducive to safety early warning, decision support, policy evaluation, etc. Howeve
Externí odkaz:
http://arxiv.org/abs/2209.04576
Autor:
Gao, Dong, Peng, Zheng, Zhang, Ningbin, Xie, Yunfei, Yang, Yucong, Yang, Weihao, Xia, Shuang, Yan, Wei, Deng, Longjiang, Liu, Tao, Qin, Jun, Zhong, Xiaoyan, Bi, Lei
Non-collinear antiferromagnet Weyl semimetal $Mn_3Sn$ have attracted great research interest recently. Although large anomalous Hall effect, anomalous Nernst effect and magneto-optical effect have been observed in $Mn_3Sn$, most studies are based on
Externí odkaz:
http://arxiv.org/abs/2208.04503
Entity extraction is critical in the intelligent advancement across diverse domains. Nevertheless, a challenge to its effectiveness arises from the data imbalance. This paper proposes a novel approach by viewing the issue through the quantitative inf
Externí odkaz:
http://arxiv.org/abs/2205.12636
Deep metric learning aims to transform input data into an embedding space, where similar samples are close while dissimilar samples are far apart from each other. In practice, samples of new categories arrive incrementally, which requires the periodi
Externí odkaz:
http://arxiv.org/abs/2203.05201
Publikováno v:
In Cell Insight August 2024 3(4)