Zobrazeno 1 - 10
of 4 039
pro vyhledávání: '"De-Jun An"'
Autor:
Feng, De-Jun, Feng, Zhou
Let $ \mu $ be the self-similar measure associated with a homogeneous iterated function system $ \Phi = \{ \lambda x + t_j \}_{j=1}^m $ on ${\Bbb R}$ and a probability vector $ (p_{j})_{j=1}^m$, where $0\neq \lambda\in (-1,1)$ and $t_j\in {\Bbb R}$.
Externí odkaz:
http://arxiv.org/abs/2405.03124
The self-generated magnetic field in three-dimensional (3D) single-mode ablative Rayleigh-Taylor instabilities (ARTI) relevant to the acceleration phase of a direct-drive inertial confinement fusion (ICF) implosion is investigated. It is found that s
Externí odkaz:
http://arxiv.org/abs/2404.15642
Deep learning-based techniques have proven effective in polyp segmentation tasks when provided with sufficient pixel-wise labeled data. However, the high cost of manual annotation has created a bottleneck for model generalization. To minimize annotat
Externí odkaz:
http://arxiv.org/abs/2403.14350
The Erd\H{o}s similarity conjecture asserted that an infinite set of real numbers cannot be affinely embedded into every measurable set of positive Lebesgue measure. The problem is still open, in particular for all fast decaying sequences. In this pa
Externí odkaz:
http://arxiv.org/abs/2312.01319
Autor:
Tan, Alvin De Jun, Shen, Bingquan
Large language models (LLMs) have achieved state-of-the-art results in many natural language processing tasks. They have also demonstrated ability to adapt well to different tasks through zero-shot or few-shot settings. With the capability of these L
Externí odkaz:
http://arxiv.org/abs/2309.15487
Contrastive learning has shown to learn better quality representations than models trained using cross-entropy loss. They also transfer better to downstream datasets from different domains. However, little work has been done to explore the transferab
Externí odkaz:
http://arxiv.org/abs/2309.15486
Autor:
Jun Xue, Shuai Yang, Si‐Si Zhang, Jun Fan, Zi‐Long Wu, Cheng‐Jun Sui, Yong‐Qiang Yang, Jin‐Feng Zhang, Pian Liu, De‐Jun Zhang, Xin‐Yao Qiu, Tao Zhang, Lei Chen, Gang Wu, Hong‐Yang Wang, Jing Tang
Publikováno v:
Advanced Science, Vol 11, Iss 47, Pp n/a-n/a (2024)
Abstract Immunotherapies employing PD‐1/PD‐L1 immune checkpoint inhibitors (ICIs) are vital for primary liver cancer (PLC), but response rates remain unsatisfying. Accurate differentiation of responders from non‐responders to immunotherapy is i
Externí odkaz:
https://doaj.org/article/d910fc75d24e484495cf1ee35cd05758
Automatic and accurate polyp segmentation plays an essential role in early colorectal cancer diagnosis. However, it has always been a challenging task due to 1) the diverse shape, size, brightness and other appearance characteristics of polyps, 2) th
Externí odkaz:
http://arxiv.org/abs/2301.04904
Autor:
Yu-Heng Zhu, Qin-Yuan Jia, Hong-Fei Yao, Zong-Hao Duan, Xue-Shi-Yu Ma, Jia-Hao Zheng, Yi-Fan Yin, Wei Liu, Jun-Feng Zhang, Rong Hua, Ding Ma, Yong-Wei Sun, Jian-Yu Yang, De-Jun Liu, Yan-Miao Huo
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background This study investigated the molecular mechanism of long intergenic non-protein coding RNA 1605 (LINC01605) in the process of tumor growth and liver metastasis of pancreatic ductal adenocarcinoma (PDAC). Methods LINC01605 was filte
Externí odkaz:
https://doaj.org/article/1bacd5c3238b402e9c0a00fb055ea2ff
Autor:
Wu, De-Jun
Publikováno v:
Phys. Rev D 107, 044065(2023)
We investigate relativistic star solutions in Mass-Varying Massive Gravity (MVMG) with a diagonal metric. Contrary to the intuition that there is no fundamental difference between diagonal metric and non-diagonal metric solutions regarding relativist
Externí odkaz:
http://arxiv.org/abs/2210.10690