Zobrazeno 1 - 10
of 629
pro vyhledávání: '"Xiaojian Li"'
Autor:
Kui Xiao, Sisi Wang, Wenxin Chen, Yiping Hu, Ziang Chen, Peng Liu, Jinli Zhang, Bin Chen, Zhi Zhang, Xiaojian Li
Publikováno v:
Human Genomics, Vol 18, Iss 1, Pp 1-17 (2024)
Abstract Background Keloid is a disease characterized by proliferation of fibrous tissue after the healing of skin tissue, which seriously affects the daily life of patients. However, the clinical treatment of keloids still has limitations, that is,
Externí odkaz:
https://doaj.org/article/6a4ce2b773b6456f8c23310ed1f5979e
Autor:
Xiaojian Li, Lianzhong Li
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1345 (2024)
In this study, we focus on investigating a novel extended (3+1)-dimensional Kadomtsev–Petviashvili–Boussinesq-like (KPB-like) equation. Initially, we utilized the Lie symmetry method to determine the symmetry generator by considering the Lie inva
Externí odkaz:
https://doaj.org/article/c20c63d256d04e499057dd0dad174232
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2040 (2024)
The geological complexity, environmental sensitivity, and ecological fragility inherent in complex and difficult areas (CDAs) present new opportunities and challenges for technological innovation in railway engineering development in China. At the cu
Externí odkaz:
https://doaj.org/article/6291f3a5d78947f99b02ecf34c214103
Autor:
Biao Wang, Yongwei Sun, Shuai Zhou, Xiaojian Li, Nan Li, Zhiyou Fan, Ying Xiong, Tiannan Wang
Publikováno v:
International Journal of Antennas and Propagation, Vol 2024 (2024)
The electromagnetic radiation sensitivity of the electric explosive device (EED) and its installed use state is closely related to the size of the equipment and radiation field strength constraints. The use of the traditional all-level electromagneti
Externí odkaz:
https://doaj.org/article/33fe646b4a154c488535f57a9fd1c0f5
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Wound healing is a complex and coordinated biological process easily influenced by various internal and external factors. Hydrogels have immense practical importance in wound nursing because of their environmental moisturising, pain-relieving, and co
Externí odkaz:
https://doaj.org/article/7195875601bd4df6bba7c6002d4d3da2
Autor:
Wenyi Li, Shengjie Zheng, Yufan Liao, Rongqi Hong, Chenggang He, Weiliang Chen, Chunshan Deng, Xiaojian Li
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The visual system provides a valuable model for studying the working mechanisms of sensory processing and high-level consciousness. A significant challenge in this field is the reconstruction of images from decoded neural activity, which could not on
Externí odkaz:
https://doaj.org/article/b134637e3cb44ac891f18082e052e463
Autor:
Lei Wang, Chunxing Li, Zichen Zhao, Xiaojian Li, Chong Tang, Zhenpeng Guan, Feng Sun, Jin Gu, Ningchen Li
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundThe best choice of first-line treatment for metastatic hormone-sensitive prostate cancer (mHSPC) is unclear. We aimed to compare the effectiveness and safety determined in randomized clinical trials of doublet and triplet treatments for mHS
Externí odkaz:
https://doaj.org/article/87ded9f59b9e48a28be12f25dc9909ff
Publikováno v:
Nano Select, Vol 3, Iss 5, Pp 903-918 (2022)
Abstract During the past decades, neural interfaces have been widely applied in various fields, such as neural‐degeneration disease diagnosis and therapy, remote control, and mind‐based interaction with the outside world. The neural interfaces, a
Externí odkaz:
https://doaj.org/article/37434478db4d4092992a22f3f90ef8a6
Autor:
Ruirui Yu, Xiaojian Li, Peng Yi, Ping Wen, Shuhong Wang, Chenghui Liao, Xun Song, Haiqiang Wu, Zhendan He, Chenyang Li
Publikováno v:
Molecules, Vol 28, Iss 21, p 7321 (2023)
This study explores the antifungal properties of Agaricus blazei Murrill, a valuable medicinal and edible fungus. Six compounds (1–6) were first isolated from A. blazei using various isolation techniques and identified using spectroscopic methods.
Externí odkaz:
https://doaj.org/article/46d1aee33ba443ccb839c6d585d70e13
Publikováno v:
IEEE Access, Vol 10, Pp 118789-118805 (2022)
Speaker recognition based on deep learning is currently the most advanced and mainstream technology in the industry. Adversarial attacks, an emerging and powerful attack against neural network models, also posing serious security problems for speaker
Externí odkaz:
https://doaj.org/article/f81a07f71d8c4f2baf4a384e0f723970