Zobrazeno 1 - 10
of 2 539
pro vyhledávání: '"Qiao, Feng"'
Publikováno v:
Phys. Lett. B 850 (2024) 138535
Within the Ultra-relativistic Quantum Molecular Dynamics model (UrQMD) coupled with nucleon coalescence model and Mini-Spanning-Tree model, the yields of light nuclei have been stimulated in Au + Au collisions over an energy range of \(\sqrt{s_{NN}}=
Externí odkaz:
http://arxiv.org/abs/2403.04341
Autor:
Peng, Xidong, Chen, Runnan, Qiao, Feng, Kong, Lingdong, Liu, Youquan, Wang, Tai, Zhu, Xinge, Ma, Yuexin
Unsupervised domain adaptation (UDA) in 3D segmentation tasks presents a formidable challenge, primarily stemming from the sparse and unordered nature of point cloud data. Especially for LiDAR point clouds, the domain discrepancy becomes obvious acro
Externí odkaz:
http://arxiv.org/abs/2310.08820
We introduce a novel training strategy for stereo matching and optical flow estimation that utilizes image-to-image translation between synthetic and real image domains. Our approach enables the training of models that excel in real image scenarios w
Externí odkaz:
http://arxiv.org/abs/2309.01842
Publikováno v:
International Journal of Smart and Nano Materials, Pp 1-37 (2024)
Transdermal drug delivery (TDD) has gained clinical approval over several decades, with extensive research dedicated to novel drug and device development. Despite notable research progress, the market adoption of TDD devices has not met anticipated l
Externí odkaz:
https://doaj.org/article/80e448b0ff0b4ed38168e41ca1e18170
Unmanned aerial vehicles (UAVs) are frequently used for inspecting power lines and capturing high-resolution aerial images. However, detecting power lines in aerial images is difficult,as the foreground data(i.e, power lines) is small and the backgro
Externí odkaz:
http://arxiv.org/abs/2304.05821
Autor:
Rao, Pratyaksh Prabhav, Qiao, Feng, Zhang, Weide, Xu, Yiliang, Deng, Yong, Wu, Guangbin, Zhang, Qiang
Accurate segmentation of power lines in aerial images is essential to ensure the flight safety of aerial vehicles. Acquiring high-quality ground truth annotations for training a deep learning model is a laborious process. Therefore, developing algori
Externí odkaz:
http://arxiv.org/abs/2211.16988
Autor:
Shun Li, Zong-Yuan Liu, Hao Li, Sijia Zhou, Jiaying Liu, Ningwei Sun, Kai-Fu Yang, Vanessa Dougados, Thomas Mangeat, Karine Belguise, Xi-Qiao Feng, Yiyao Liu, Xiaobo Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Actomyosin networks constrict cell area and junctions to alter cell and tissue shape. However, during cell expansion under mechanical stress, actomyosin networks are strengthened and polarized to relax stress. Thus, cells face a conflicting
Externí odkaz:
https://doaj.org/article/2335f4665e304fa6ad1ce3be8c4f8cfd
Autor:
Yu-Ying Shi, Si-Yuan Liao, Qiao-Feng Wang, Xin-Yun Xu, Xiao-Yun Wang, Xin-Yin Gu, You-Gen Hu, Peng-Li Zhu, Rong Sun, Yan-Jun Wan
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-14 (2024)
Highlights A strategy based on metal-organic decomposition is proposed to enhance the tube-tube interactions of carbon nanotubes (CNTs). The robust tube-tube interactions of CNTs enhance both EMI shielding performance and mechanical properties of CNT
Externí odkaz:
https://doaj.org/article/5fc34887c05f40909f652bb20a03b2df
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
It has been widely accepted that China is one of the biggest natural gas consumers. Related to the imports of LNG, China stands in a very uncomfortable situation. Most domestic gas reservoirs fall within deep water drive gas reservoirs inordinately,
Externí odkaz:
https://doaj.org/article/3a6bec5e1871481885f1edd6bc85b285
Autor:
Tong Feng, Qi Zhang, Si-Hui Li, Yan-ling Ping, Mu-qiu Tian, Shuan-hu Zhou, Xin Wang, Jun-Meng Wang, Fan-Rang Liang, Shu-Guang Yu, Qiao-Feng Wu
Publikováno v:
eLife, Vol 12 (2024)
Osteoarthritis (OA) is a degenerative disease with a high prevalence in the elderly population, but our understanding of its mechanisms remains incomplete. Analysis of serum exosomal small RNA sequencing data from clinical patients and gene expressio
Externí odkaz:
https://doaj.org/article/cbd69382edf845fa9f56b5dbbf14d388