Zobrazeno 1 - 10
of 1 018
pro vyhledávání: '"Chen Yanru"'
This paper primarily investigates a specific type of deformation of the braid arrangement $\mathcal{B}_n$ in $\mathbb{R}^n$, denoted by $\mathcal{B}_n^A$ and defined in (1.2). Let $r_l(\mathcal{B}_n^A)$ be the number of regions of level $l$ in $\math
Externí odkaz:
http://arxiv.org/abs/2411.02971
By establishing a labeled Dyck path model for the regions of \(\mathcal{C}_{n,A}\) and \(\mathcal{C}_{n,A}^*\), his paper explores several enumerative problems related to the number of regions of level \(\ell\), denoted as \(r_{\ell}(\mathcal{C}_{n,A
Externí odkaz:
http://arxiv.org/abs/2410.10198
Autor:
Fanghong Yan, Yuanyuan Zhang, Yayan Pan, Sijun Li, Mengqi Yang, Yutan Wang, Chen Yanru, Wenli Su, Yuxia Ma, Lin Han
Publikováno v:
Journal of Research in Medical Sciences, Vol 28, Iss 1, Pp 17-17 (2023)
Background: There is a paucity of systematic reviews on the associated factors of mortality among ST-elevation myocardial infarction (STEMI) patients after percutaneous coronary intervention (PCI). This meta-analysis was designed to synthesize availa
Externí odkaz:
https://doaj.org/article/c9234453d4134ce297b54e67d1f12061
Publikováno v:
MATEC Web of Conferences, Vol 336, p 08007 (2021)
Based on Tor, an anonymous DDoS attack is proposed, and the attacker of this attack is very difficult to trace due to the strong anonymity of Tor. Through conducting experiments in different network environment and making analyzation of security, the
Externí odkaz:
https://doaj.org/article/b95f45ec0a5e431d8ac3a1343263904c
In recent experimental and theoretical studies of graphene, disorder scattering processes have been suggested to play an important role in its electronic and transport properties. In the preceding paper, it has been shown that the nonperturbative mom
Externí odkaz:
http://arxiv.org/abs/2308.02779
Autor:
Fu, Bo, Chen, Yanru, Chen, Weiwei, Zhu, Wei, Cui, Ping, Li, Qunxiang, Zhang, Zhenyu, Shi, Qinwei
Despite extensive existing studies, a complete understanding of the role of disorder in affecting the physical properties of two-dimensional Dirac fermionic systems remains a standing challenge, largely due to obstacles encountered in treating multip
Externí odkaz:
http://arxiv.org/abs/2308.01680
Deep learning is the state-of-the-art for medical imaging tasks, but requires large, labeled datasets. For risk prediction, large datasets are rare since they require both imaging and follow-up (e.g., diagnosis codes). However, the release of publicl
Externí odkaz:
http://arxiv.org/abs/2306.08955
Few-shot named entity recognition (NER) targets generalizing to unseen labels and/or domains with few labeled examples. Existing metric learning methods compute token-level similarities between query and support sets, but are not able to fully incorp
Externí odkaz:
http://arxiv.org/abs/2211.04337