Zobrazeno 1 - 10
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pro vyhledávání: '"Ju, Li"'
Here we demonstrate the capacity to manipulate the optical spring (OS) effect by employing an optical parametric amplifier (OPA) within an optical cavity. We observed more than a factor of 2 increase in the OS frequency shift with the OPA. We also sh
Externí odkaz:
http://arxiv.org/abs/2406.14590
Roadside perception can greatly increase the safety of autonomous vehicles by extending their perception ability beyond the visual range and addressing blind spots. However, current state-of-the-art vision-based roadside detection methods possess hig
Externí odkaz:
http://arxiv.org/abs/2401.16110
Autor:
Goodwin-Jones, Aaron W., Zhu, Haochen, Blair, Carl, Brown, Daniel D., van Heijningen, Joris, Ju, Li, Zhao, Chunnong
Precise optical mode matching is of critical importance in experiments using squeezed-vacuum states. Automatic spatial-mode matching schemes have the potential to reduce losses and improve loss stability. However, in quantum-enhanced coupled-cavity e
Externí odkaz:
http://arxiv.org/abs/2308.15675
Autor:
Guiyin Xu, Zheyi Meng, Yunteng Cao, Zixu Tao, Qing-Jie Li, Myles Stapelberg, Bing Han, Rui Gao, Qipeng Yu, Meng Gu, Benedetto Marelli, Hailiang Wang, Meifang Zhu, Ju Li
Publikováno v:
NPG Asia Materials, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Metal nanoparticles have extraordinary properties, but their integration into mesostructures has been challenging. Producing uniformly dispersed nanoparticles attached to substrates in industrial quantities is difficult. Herein, a “plasmas
Externí odkaz:
https://doaj.org/article/99b3bacdc9564efa9521be62786f3d5c
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract The advent of artificial intelligence (AI) has enabled a comprehensive exploration of materials for various applications. However, AI models often prioritize frequently encountered material examples in the scientific literature, limiting the
Externí odkaz:
https://doaj.org/article/8504cf5de8d142bca6ab447a017ea831
Autor:
Kaur, Tejinder, Kersting, Magdalena, Adams, Kyla, Blair, David, Treagust, David, Popkova, Anastasia, Boublil, Shon, Santoso, Jesse, Ju, Li, Zadnik, Marjan, Wood, David, Horne, Elaine, McGoran, Darren, Scott, Susan, Venville, Grady
Recent years have seen a growing interest in modernizing physics and science curricula around the world. While many science educators and curriculum developers design instructional resources to successfully introduce topics of Einsteinian physics to
Externí odkaz:
http://arxiv.org/abs/2306.17344
Autor:
Kaur, Tejinder, Kersting, Magdalena, Blair, David, Adams, Kyla, Treagust, David, Santoso, Jesse, Popkova, Anastasia, Boublil, Shon, Zadnik, Marjan, Ju, Li, Wood, David, Horne, Elaine, McGoran, Darren
There has been a growing realisation that school science curricula do not adequately reflect the revolutionary changes in our scientific understanding of the 20th century. This discrepancy between current school education and our modern scientific un
Externí odkaz:
http://arxiv.org/abs/2306.17342
In this paper, we explore a novel model reusing task tailored for graph neural networks (GNNs), termed as "deep graph reprogramming". We strive to reprogram a pre-trained GNN, without amending raw node features nor model parameters, to handle a bunch
Externí odkaz:
http://arxiv.org/abs/2304.14593
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 7, Pp 1132-1144 (2024)
Abstract Beamforming is an effective way of resolving target direction and anti‐jamming in short wave (SW) radar systems. In conventional beamforming (CBF) at a certain frequency, to get high resolution, the array aperture should be increased, and
Externí odkaz:
https://doaj.org/article/4c1d084eb42a461ea4eff6101df3c563
Autor:
Ju-Li Lin, Jian-Xian Lin, Guang-Tan Lin, Chang-Ming Huang, Chao-Hui Zheng, Jian-Wei Xie, Jia-bin Wang, Jun Lu, Qi-Yue Chen, Ping Li
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Objective To study the historical global incidence and mortality trends of gastric cancer and predicted mortality of gastric cancer by 2035. Methods Incidence data were retrieved from the Cancer Incidence in Five Continents (CI5) volumes I-X
Externí odkaz:
https://doaj.org/article/a069ff6c36294d04a216ebf5a7d0572e