Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chencheng Yan"'
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 4, Pp 1-8 (2022)
The transverse spin and orbital-to-spin angular momentum conversion during strong focusing of light beams have attracted wide interest due to the novel physics behind and their broad potential applications. In this work, we study the effect of incide
Externí odkaz:
https://doaj.org/article/e5e2e757d441479da21efaeb9f7d3d86
Publikováno v:
Physical Review A. 106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72b7b0eb5f1efad9723de9c716d1d116
https://doi.org/10.1103/physreva.106.063522
https://doi.org/10.1103/physreva.106.063522
Autor:
Huishan Wang, Xingyan Liu, Yamin Liu, Chencheng Yang, Yaxin Ye, Xiaomei Yu, Nengyin Sheng, Shihua Zhang, Bingyu Mao, Pengcheng Ma
Publikováno v:
eLife, Vol 13 (2024)
The spatial and temporal linear expression of Hox genes establishes a regional Hox code, which is crucial for the antero-posterior (A-P) patterning, segmentation, and neuronal circuit development of the hindbrain. RNF220, an E3 ubiquitin ligase, is w
Externí odkaz:
https://doaj.org/article/953c0e6580f34d869869927204829f4a
Publikováno v:
Journal of the Optical Society of America A. 39:C58
Optical coherence is one of the most fundamental characteristics of light and has been viewed as a powerful tool for governing the spatial, spectral, and temporal statistical properties of optical fields during light–matter interactions. In this wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b62f0f969978d41c3e5c2243a156be
https://doi.org/10.1364/josaa.473027
https://doi.org/10.1364/josaa.473027
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 289-303 (2023)
Abstract Very recently, with the widespread research of deep learning, its achievements are increasingly evident in image inpainting tasks. However, many existing multi-stage methods fail to effectively inpainting the larger missing areas, their comm
Externí odkaz:
https://doaj.org/article/78d715f930c64bee98195885c2842a49
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 4, Pp 4555-4570 (2023)
Abstract For images corrupted for various reasons, the size of the corrupted area is often arbitrary and it has been a challenge to inpainting the larger missing areas. Though popular multistage networks ease the inpainting difficulty by repairing da
Externí odkaz:
https://doaj.org/article/752daf3c22404cf797b1264cf15b665a