Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Shijun Xiang"'
Publikováno v:
Advanced Science, Vol 11, Iss 46, Pp n/a-n/a (2024)
Abstract Parkinson's disease (PD) is characterized by dopamine (DA) neuron loss and neuroinflammation. This study develops carrier‐free nanocapsules (NCs) for targeted delivery of DA and catalase (CAT) to the PD brain, addressing both DA depletion
Externí odkaz:
https://doaj.org/article/c17ce75ee185475eae859e9d290a43a9
Publikováno v:
Journal of Nanobiotechnology, Vol 21, Iss 1, Pp 1-24 (2023)
Abstract Background Pharmacotherapy constitutes the first-line treatment for depression. However, its clinical use is hindered by several limitations, such as time lag, side effects, and narrow therapeutic windows. Nanotechnology can be employed to s
Externí odkaz:
https://doaj.org/article/b39eb4ab631c4ec0a15149efa4cc3551
Publikováno v:
Intelligent Surgery, Vol 6, Iss , Pp 12-15 (2023)
Background: The aim of this study was to describe technical considerations and short-term outcomes from the first reported single-incision robotic operation for distal gastrectomy with the use of da Vinci Xi surgical system. Methods: A 71-year-old pa
Externí odkaz:
https://doaj.org/article/f353d2f3e9c041dfb4ff187f9e403f86
Autor:
Pinghua Yang, Fengliang Song, Xinwei Yang, Xingzhou Yan, Xinyu Huang, Zhengjun Qiu, Zhijian Wen, Chi Liang, Xianglei Xin, Zhengqin Lei, Kecheng Zhang, Jue Yang, Hu Liu, Hongcheng Wang, Shijun Xiang, Liang Li, Baohua Zhang, Hongyang Wang
Publikováno v:
iScience, Vol 25, Iss 9, Pp 104816- (2022)
Summary: Through a three-step study that relies on biomarker discovery, training, and validation, we identified a set of five exosomal microRNAs (miRNAs) that can be used to evaluate the risk of gallbladder carcinoma (GBC), including miR-552-3p, miR-
Externí odkaz:
https://doaj.org/article/360d7e4e0f3f4e558f6d24b4c34a82f9
Publikováno v:
Entropy, Vol 21, Iss 7, p 625 (2019)
This paper proposes a reversible data hiding scheme by exploiting the DGHV fully homomorphic encryption, and analyzes the feasibility of the scheme for data hiding from the perspective of information entropy. In the proposed algorithm, additional dat
Externí odkaz:
https://doaj.org/article/8a0a52b19392473f8853c86d1106b387
Publikováno v:
Advances in Multimedia, Vol 2017 (2017)
Robust and reversible watermarking is a potential technique in many sensitive applications, such as lossless audio or medical image systems. This paper presents a novel robust reversible audio watermarking method by modifying the statistic features i
Externí odkaz:
https://doaj.org/article/33f5adb36abf4c8ab3db9cef3bf2ddb3
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:1593-1609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::648a81f1979acbc9020234a4ef7dec4b
https://doi.org/10.1109/tcsvt.2022.3216849
https://doi.org/10.1109/tcsvt.2022.3216849
Autor:
Runwen Hu, Shijun Xiang
Publikováno v:
IEEE Signal Processing Letters. 30:329-333
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16076f9fe59c5d46dfe3409533c4569b
https://doi.org/10.1109/lsp.2023.3256701
https://doi.org/10.1109/lsp.2023.3256701
Autor:
Runwen Hu, Shijun Xiang
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:10196-10208
In the field of reversible data hiding (RDH), how to predict an image and embed a message into the image with smaller distortion are two important aspects. In this paper, we propose a novel and efficient RDH method by innovating an intelligent predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d06ee135ceb32c881df845ec11bd32f
https://doi.org/10.1109/tpami.2021.3131250
https://doi.org/10.1109/tpami.2021.3131250
Autor:
Qiaoyi Liang, Shijun Xiang
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:7373-7385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81494f5799acd7d2657c51b9b15382b2
https://doi.org/10.1109/tcsvt.2022.3184949
https://doi.org/10.1109/tcsvt.2022.3184949