Zobrazeno 1 - 10
of 9 338
pro vyhledávání: '"FENG, Jun"'
Accurate flood prediction is crucial for disaster prevention and mitigation. Hydrological data exhibit highly nonlinear temporal patterns and encompass complex spatial relationships between rainfall and flow. Existing flood prediction models struggle
Externí odkaz:
http://arxiv.org/abs/2412.06835
Autor:
Chen, Langxuan, Feng, Jun
We revisit the problem of thermalization process for an Unruh-DeWitt (UDW) detector in de Sitter space. We derive the full dynamics of the detector in the context of open quantum system, neither using Markovian or RWA approximations. We utilize quant
Externí odkaz:
http://arxiv.org/abs/2411.11490
Deep neural networks have demonstrated remarkable performance in medical image analysis. However, its susceptibility to spurious correlations due to shortcut learning raises concerns about network interpretability and reliability. Furthermore, shortc
Externí odkaz:
http://arxiv.org/abs/2406.14050
A warm corona has been widely proposed to explain the soft X-ray excess (SE) above the 2--10 keV power law extrapolation in AGNs. In actual spectral fittings, the warm coronal seed photon temperature ($T_{\rm s}$) is usually assumed to be far away fr
Externí odkaz:
http://arxiv.org/abs/2405.15156
Medical report generation automates radiology descriptions from images, easing the burden on physicians and minimizing errors. However, current methods lack structured outputs and physician interactivity for clear, clinically relevant reports. Our me
Externí odkaz:
http://arxiv.org/abs/2404.11209
Autor:
Shi, Yichen, Gao, Yuhao, Lai, Yingxin, Wang, Hongyang, Feng, Jun, He, Lei, Wan, Jun, Chen, Changsheng, Yu, Zitong, Cao, Xiaochun
Multimodal large language models (MLLMs) have demonstrated remarkable problem-solving capabilities in various vision fields (e.g., generic object recognition and grounding) based on strong visual semantic representation and language reasoning ability
Externí odkaz:
http://arxiv.org/abs/2402.04178
The Boltzmann distribution of a protein provides a roadmap to all of its functional states. Normalizing flows are a promising tool for modeling this distribution, but current methods are intractable for typical pharmacological targets; they become co
Externí odkaz:
http://arxiv.org/abs/2401.04246
A state feedback control strategy is proposed for input-output (IO) decoupling of a class of fully output controllable Boolean control networks (BCNs). Some necessary and sufficient conditions for BCN IO-decoupling are presented. As an instrumental t
Externí odkaz:
http://arxiv.org/abs/2310.02731
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 12, Pp 151-158 (2024)
In order to obtain high quality aluminium oxide tritium barrier coatings， micro-arc oxidation （MAO）technology was used to prepare micro-arc oxidation coatings on the surface of 1060 pure aluminium by doping Cr2O3 and graphene as additives in th
Externí odkaz:
https://doaj.org/article/376da4bfd44e4fb5a6b52402228fafca
Autor:
Wei-Yuan Zhang, Li Wen, Li Du, Ting Ting Liu, Yang Sun, Yi-Zhu Chen, Yu-Xin Lu, Xiao-Chen Cheng, Hui-Yan Sun, Feng-Jun Xiao, Li-Sheng Wang
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-24 (2024)
Abstract Background Radiation-induced lung injury (RILI) is associated with alveolar epithelial cell death and secondary fibrosis in injured lung. Mesenchymal stem cell (MSC)-derived exosomes have regenerative effect against lung injury and the poten
Externí odkaz:
https://doaj.org/article/cabce5ff1e0742a0afd90e639c86a05f