Zobrazeno 1 - 10
of 3 039
pro vyhledávání: '"DENG Fei"'
Publikováno v:
Open Medicine, Vol 18, Iss 1, Pp 383-97 (2023)
Accumulating evidence shows that Schwann cells’ (SCs) death caused by high glucose (HG) is involved in the pathological process of diabetic peripheral neuropathy (DPN). Ferroptosis is a novel form of regulatory cell death driven by iron-dependent l
Externí odkaz:
https://doaj.org/article/ff92d3244f3640c4a72195abafafeeb8
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 49, Iss 10, Pp 1037-1042 (2022)
Objective To explore the effect of Linc00460 on the aerobic glycolysis of breast cancer (BC) cells through sponge adsorption of miR-320a. Methods The qRT-PCR method was used to detect Linc00460 and miR-320a expression levels in normal breast epitheli
Externí odkaz:
https://doaj.org/article/5e3ee04f876b4f69bd8abd77810b91e0
Publikováno v:
He jishu, Vol 45, Iss 5, Pp 34-40 (2022)
Background210Bi is one of the most important interferences in the analysis of 90Sr by extractive chromatography. It is verified by the leaching curve that bismuth and yttrium are completely adsorbed on the chromatographic column in the bis(2-ethylhex
Externí odkaz:
https://doaj.org/article/f4dcd35b74b048d5bec6f728609b0647
Semantic segmentation of remote sensing (RS) images is a challenging yet crucial task. While deep learning, particularly supervised learning with large-scale labeled datasets, has significantly advanced this field, acquiring high-quality labeled data
Externí odkaz:
http://arxiv.org/abs/2410.13471
Autor:
Jiang, Peifan, Wang, Xuben, Wang, Shuang, Deng, Fei, Wang, Kunpeng, Wang, Bin, Yang, Yuhan, Fadel, Islam
Magnetotelluric deep learning (DL) inversion methods based on joint data-driven and physics-driven have become a hot topic in recent years. When mapping observation data (or forward modeling data) to the resistivity model using neural networks (NNs),
Externí odkaz:
http://arxiv.org/abs/2410.09388
Autor:
He Zhoukun, Wang Na, Yang Xiaochen, Mu Linpeng, Wang Zhuo, Su Jie, Luo Mingdong, Li Junlong, Deng Fei, Lan Xiaorong
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 106285-20 (2023)
Antifouling technologies have attracted considerable attention in recent years, as numerous fouling phenomena pertaining to inorganic, organic, bio-, and composite foulants substantially affect daily life. Poly(dimethyl siloxane) (PDMS) has several p
Externí odkaz:
https://doaj.org/article/f4132f19dd76415ba9de6ae1d9441c4f
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of
Externí odkaz:
http://arxiv.org/abs/2406.12272
Despite the recent advancements in offline RL, no unified algorithm could achieve superior performance across a broad range of tasks. Offline \textit{value function learning}, in particular, struggles with sparse-reward, long-horizon tasks due to the
Externí odkaz:
http://arxiv.org/abs/2406.06793
Autor:
Deng Fei, Jiang Huiqin, Liu Jia-Bao, Poklukar Darja Rupnik, Shao Zehui, Wu Pu, Žerovnik Janez
Publikováno v:
Open Chemistry, Vol 17, Iss 1, Pp 448-455 (2019)
The Sanskruti index of a graph G is defined as S(G)=∑uv∈E(G)sG(u)sG(v)sG(u)+sG(v)−23,$$\begin{align*}S(G)=\sum_{uv\in{}E(G)}{\left(\frac{s_G(u)s_G(v)}{s_G(u)+s_G(v)-2}\right)}^3, \end{align*}$$where sG(u) is the sum of the degrees of the neighb
Externí odkaz:
https://doaj.org/article/3c25535212664e628f2efe20ddbe3d40
Low-dose computed tomography (LDCT) has become the technology of choice for diagnostic medical imaging, given its lower radiation dose compared to standard CT, despite increasing image noise and potentially affecting diagnostic accuracy. To address t
Externí odkaz:
http://arxiv.org/abs/2404.09533