Zobrazeno 1 - 10
of 389
pro vyhledávání: '"WANG Fudong"'
Publikováno v:
Gongye shui chuli, Vol 44, Iss 1, Pp 60-72 (2024)
As a common pollutant in surface and groundwater,nitrate causes serious pollution to the environment. Electrocatalytic reduction of nitrate to ammonia promotes nitrogen cycle in water. The research progress of transition metal,noble metal and non
Externí odkaz:
https://doaj.org/article/5ae601be48a04d6a8e2248cf1b4886ac
Publikováno v:
Open Medicine, Vol 17, Iss 1, Pp 1259-1274 (2022)
Collagen type XI alpha 1 (COL11A1) as an oncogene has been reported in several malignant tumors. Herein, we aimed to explore the function of COL11A1 and its upstream regulators in lung adenocarcinoma (LUAD). COL11A1 expression prognostic significance
Externí odkaz:
https://doaj.org/article/da4d4ce1071d443b99822956e73a6c92
Autor:
Tovbis, Alexander, Wang, Fudong
Publikováno v:
SIGMA 20 (2024), 070, 26 pages
In this paper, we study the spectral theory of soliton condensates - a special limit of soliton gases - for the focusing NLS (fNLS). In particular, we analyze the kinetic equation for the fNLS circular condensate, which represents the first example o
Externí odkaz:
http://arxiv.org/abs/2312.16406
Autor:
Tovbis, Alexander, Wang, Fudong
In this paper we consider soliton and breather gases for one dimensional integrable focusing Nonlinear Schr\"{o}dinger Equation (fNLS). We derive average densities and fluxes for such gases by studying the thermodynamic limit of the fNLS finite gap s
Externí odkaz:
http://arxiv.org/abs/2203.03566
Publikováno v:
In Biochemical and Biophysical Research Communications 26 November 2024 735
Autor:
Zhang, Jianfeng, Song, Keji, Jin, Fengyuan, Jia, Fang, Liang, Jing, Wang, Fudong, Zhang, Jiejing
Publikováno v:
In Science of the Total Environment 1 November 2024 949
In this paper, we focus on recognizing 3D shapes from arbitrary views, i.e., arbitrary numbers and positions of viewpoints. It is a challenging and realistic setting for view-based 3D shape recognition. We propose a canonical view representation to t
Externí odkaz:
http://arxiv.org/abs/2108.07084
Publikováno v:
In Journal of the Indian Chemical Society April 2024 101(4)
Recently, deep learning based methods have demonstrated promising results on the graph matching problem, by relying on the descriptive capability of deep features extracted on graph nodes. However, one main limitation with existing deep graph matchin
Externí odkaz:
http://arxiv.org/abs/2103.06643
Autor:
Hayford, Nathan, Wang, Fudong
We give an in-depth analysis of a 1-parameter family of electrified droplets first described in D. Khavinson et. al. (2005). We also investigate a technique for searching for new solutions to the droplet equation, and rederive via this technique a 1-
Externí odkaz:
http://arxiv.org/abs/2103.00575