Zobrazeno 1 - 10
of 2 046
pro vyhledávání: '"Xing, Hao"'
We extend Ratner's theorem on equidistribution of individual orbits of unipotent flows on finite volume homogeneous spaces of Lie groups to trajectories of non-contracting curves definable in polynomially bounded o-minimal structures. To be precise,
Externí odkaz:
http://arxiv.org/abs/2407.04935
Autor:
Li, Qian-Yun, Li, Ming-Xuan, Li, Ren-Ming-Jie, Lin, Shin-Ted, Liu, Shu-Kui, Tang, Chang-Jian, Xing, Hao-Yang, Zhu, Jing-Jun, Yue, Qian, Yang, Li-Tao
We construct a high sensitivity radon pilot detector using liquid scintillator dissolved radon for the CDEX rare-event searches program. The CDEX-10 project employs a germanium detector array immersed in a massive liquid nitrogen tank. However, radon
Externí odkaz:
http://arxiv.org/abs/2308.07160
Autor:
Bersudsky, Michael, Xing, Hao
We study the limiting distribution of dense orbits of a lattice subgroup $\Gamma\le \text{SL}(m+1,\mathbb{R})$ acting on $H\backslash\text{SL}(m+1,\mathbb{R})$, with respect to a filtration of growing norm balls. The novelty of our work is that the g
Externí odkaz:
http://arxiv.org/abs/2307.12085
Publikováno v:
Nutrition & Diabetes, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Background Insulin resistance (IR) is indicated to be linked with adverse outcomes of acute myocardial infarction (AMI), for its pro-inflammatory and pro-thromboplastic function. The triglyceride-glucose (TyG) index is a newly developed subs
Externí odkaz:
https://doaj.org/article/67707ba44a3b4603b1d9730823c06956
Autor:
Bersudsky, Michael, Xing, Hao
We study the distribution of orbits of a lattice $\Gamma\leq\text{SL}(3,\mathbb R)$ in the moduli space $X_{2,3}$ of covolume one rank-two discrete subgroups in $\mathbb R^3$. Each orbit is dense, and our main result is the limiting distribution of t
Externí odkaz:
http://arxiv.org/abs/2305.04132
Fractional dimension related to badly approximable matrices associated with higher successive minima
Autor:
Xing, Hao
In this article we introduce the notion of badly approximable matrices of higher order using higher sucessive minima in $\mathbb R^d$. We prove that for order less than $d$, they have Lebesgue measure zero and the gaps between them still have full Ha
Externí odkaz:
http://arxiv.org/abs/2212.14436
Autor:
Xing, Hao
In this article, we study the relation between lattice basis and successive minima and give an estimate for the measure-theoretical distribution of successive minima. As consequences, we also discuss some logarithm laws associated to higher sucessive
Externí odkaz:
http://arxiv.org/abs/2212.14373
Autor:
Wang, Yuekun1 (AUTHOR), Xing, Hao1 (AUTHOR), Guo, Xiaopeng1,2 (AUTHOR), Chen, Wenlin1 (AUTHOR), Wang, Yaning1 (AUTHOR), Liang, Tingyu1 (AUTHOR), Wang, Hai1 (AUTHOR), Li, Yilin1,3 (AUTHOR), Jin, Shanmu1,3 (AUTHOR), Shi, Yixin1,4 (AUTHOR), Liu, Delin1,4 (AUTHOR), Yang, Tianrui1,4 (AUTHOR), Xia, Yu1,4 (AUTHOR), Li, Junlin1,4 (AUTHOR), Wu, Jiaming1,4 (AUTHOR), Liu, Qianshu1,4 (AUTHOR), Qu, Tian1,4 (AUTHOR), Guo, Siying1,5 (AUTHOR), Li, Huanzhang1,4 (AUTHOR), Zhang, Kun1,4 (AUTHOR)
Publikováno v:
Cancer Medicine. Jul2024, Vol. 13 Issue 13, p1-10. 10p.
Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current image restoration methods to such real-world character images, since (i)
Externí odkaz:
http://arxiv.org/abs/2207.07795
Supervised learning depth estimation methods can achieve good performance when trained on high-quality ground-truth, like LiDAR data. However, LiDAR can only generate sparse 3D maps which causes losing information. Obtaining high-quality ground-truth
Externí odkaz:
http://arxiv.org/abs/2207.06351