Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Xing-jun Chen"'
Publikováno v:
Molecules, Vol 27, Iss 19, p 6407 (2022)
Polygonum capitatum, known as “Tou Hua Liao” (Chinese name), is a crucial source of Hmong medicinal plants that has benefited human health for a long time. This folk-medicinal plant is widely distributed in the south-west of China for the treatme
Externí odkaz:
https://doaj.org/article/ec4b2bd8d77242feadf8f2569fb79644
Autor:
Baoshan Qiu, Zichen Zhao, Nan Wang, Ziyan Feng, Xing-jun Chen, Weiqi Chen, Wenzhi Sun, Woo-ping Ge, Yilong Wang
Publikováno v:
Journal of Cerebral Blood Flow & Metabolism. 43:665-679
Different segments of the cerebral vascular network may react distinctly to brain ischemia and recanalization. However, there are limited systematic observations of these vascular responses in mice under a physiological state following ischemic strok
Autor:
Jian Ren, Yazi Huang, Yeqing Ren, Tianqi Tu, Baoshan Qiu, Daosheng Ai, Zhanying Bi, Xue Bai, Fengzhi Li, Jun-Liszt Li, Xing-jun Chen, Ziyan Feng, Zongpei Guo, Jianfeng Lei, An Tian, Ziwei Cui, Volkhard Lindner, Ralf H Adams, Yibo Wang, Fei Zhao, Jakob Körbelin, Wenzhi Sun, Yilong Wang, Hongqi Zhang, Tao Hong, Woo-ping Ge
Publikováno v:
Brain.
Cerebral cavernous malformations (CCMs) and spinal cord cavernous malformations (SCCMs) are common vascular abnormalities of the CNS that can lead to seizure, haemorrhage and other neurological deficits. Approximately 85% of patients present with spo
Autor:
Yihui Wang, Yue Liang, Daosheng Ai, Jun-Liszt Li, Ziyan Feng, Zhibao Guo, Xing-jun Chen, Tingting Zhang, Xiaoxiao Zou, Jun-Li Gao, Xiaofei Gao, Xiao-Ling Hu, Long-Jun Wu, Wenzhi Sun, Suiqiang Zhu, Shumin Duan, Wei Wang, Woo-ping Ge
SummaryADAMs (a disintegrinandmetalloproteinase) are transmembrane proteins with cell adhesion and protease activities that contain disintegrin and metalloproteinase domains. ADAM10, a member of the ADAM family, is widely expressed in the brain. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efc350d68f839ad58ede09fc249caff9
https://doi.org/10.1101/2023.02.11.527059
https://doi.org/10.1101/2023.02.11.527059
Autor:
Yan Lin, Xing-Jun Chen, Jing-Jing Li, Lei He, Ya-Ru Yang, Fei Zhong, Ming-Hui He, Yi-Tong Shen, Bo Tu, Xu Zhang, Zhu Zeng
Publikováno v:
Journal of Ethnopharmacology. 307:116163
Autor:
Yan Lin, Xing-Jun Chen, Lei He, Xue-Long Yan, Qi-Rui Li, Xu Zhang, Ming-Hui He, Shuai Chang, Bo Tu, Qing-De Long, Zhu Zeng
Publikováno v:
Journal of ethnopharmacology. 301
Sophora flavescens is a frequently used traditional Chinese medicine (TCM) for the treatment of skin disorders, diarrhea, vaginal itching and inflammatory diseases. In particular, the root of S. flavescens combination with other herbs mainly treat ec
Robust zero-watermarking algorithm based on polar complex exponential transform and logistic mapping
Publikováno v:
Multimedia Tools and Applications. 76:26355-26376
This paper introduces a new zero-watermarking algorithm based on polar complex exponential transform (PCET) and logistic mapping. This algorithm takes advantage of the geometric invariance of PCET to improve the robustness of the algorithm against ge
Geometrically resilient color image zero-watermarking algorithm based on quaternion Exponent moments
Publikováno v:
Journal of Visual Communication and Image Representation. 41:247-259
Although research on zero-watermarking has made great progress in recent years, most of it has been focused on grayscale images rather than color ones, and cannot resist geometric attacks efficiently. In this paper, we discuss properties of quaternio
Publikováno v:
2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP).
Synchronization attack is one of the key issues of digital audio watermarking. It is a challenging work to design a robust audio watermarking scheme against de-synchronization attacks. In this paper, a robust digital audio watermarking algorithm is p
Publikováno v:
FCST
Semi-fragile watermarking methods aim at detecting unacceptable malicious manipulations, while allowing acceptable regular manipulations. In this paper, a new semi-fragile audio watermarking algorithm based on the support vector regression (SVR) is p