Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Yifei, Fan"'
Autor:
Yiqun Wang, La Li, Hongde Wang, Jin Cheng, Cancan Du, Luzheng Xu, Yifei Fan, Xiaoqing Hu, Yu Yin, Ruimin Wang, Yingfang Ao
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Background Skeletal muscles are vital for daily function, yet assessing their injuries remain challenging. We aimed to elucidate the effectiveness of 68Ga-FAPI-04 in evaluating skeletal muscle remodeling. Results C2C12 cells were subjected t
Externí odkaz:
https://doaj.org/article/a28515c2983e486f883bae3cfd77d102
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 15, Pp 168-179 (2024)
Objective: To optimize the extraction amount of flavonoid from petals, leaves, stamens and pistils of Camellia japonica, respectively, and compare the antioxidant activity and analyze the chemical constituents of the extracts. Method: The total flavo
Externí odkaz:
https://doaj.org/article/a38de5b83bc347f09396a44f14efc92c
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract Sea surface temperature (SST) has been increasing since industrialization with rising greenhouse gases. However, a warming hole exists in the North Atlantic where SST has cooled by 0.4 K/century during 1900–2017. It has been argued that th
Externí odkaz:
https://doaj.org/article/b326f4e86c21445282d8dd55ea80ef72
Publikováno v:
IEEE Access, Vol 12, Pp 39110-39128 (2024)
In rural energy infrastructure decisions, EDAS methods and power aggregation operators can be used in combination to help decision makers evaluate and select different infrastructure options. By using these methods, decision makers can consider multi
Externí odkaz:
https://doaj.org/article/12c4279929e3414e8192cf7dd8fe8a41
Autor:
Yiqun Wang, La Li, Hongde Wang, Jin Cheng, Cancan Du, Luzheng Xu, Yifei Fan, Xiaoqing Hu, Yu Yin, Ruimin Wang, Yingfang Ao
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/e83a8a0e4b584559b90b8fe71a71cabf
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2987 (2024)
Aiming at the low observable target detection under sea clutter backgrounds, this paper emphasizes the exploration of distinguishable full-polarization features between target and sea clutter echoes. To overcome the shortcomings of the existing polar
Externí odkaz:
https://doaj.org/article/7e93b597453d4b6d80f99f27469aa68e
Autor:
Ziming Liu, Wenfeng Han, Jiao Meng, Yanbing Pi, Tong Wu, Yifei Fan, Qinwei Guo, Xiaoqing Hu, Yuhua Chen, Wenxiao Jiang, Feng Zhao
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25658- (2024)
Degenerative tendon injuries are common clinical problems associated with overuse or aging, and understanding the mechanisms of tendon injury and regeneration can contribute to the study of tendon healing and repair. As a transcription factor, Mohawk
Externí odkaz:
https://doaj.org/article/8c98a764cf1e4ba6a2409b18b1872743
Publikováno v:
Advanced Science, Vol 10, Iss 26, Pp n/a-n/a (2023)
Abstract In clinical practice, repairing osteochondral defects presents a challenge due to the varying biological properties of articular cartilages and subchondral bones. Thus, elucidating how spatial microenvironment‐specific biomimetic scaffolds
Externí odkaz:
https://doaj.org/article/80474da18eb3416393d694072d2b4c7a
Autor:
Wenqiang Yan, Maihemuti Maimaitimin, Fengyuan Zhao, Yifei Fan, Shuai Yang, Yuwan Li, Chenxi Cao, Zhenxing Shao, Ziming Liu, Xiaoqing Hu, Yingfang Ao, Jin Cheng
Publikováno v:
Journal of Orthopaedic Translation, Vol 33, Iss , Pp 72-89 (2022)
Background: Synovium has been confirmed to be the primary contributor to meniscal repair. Particulated Juvenile Allograft Cartilage (PJAC) has demonstrated promising clinical effect on repairing cartilage. The synergistic effect of synovium and PJAC
Externí odkaz:
https://doaj.org/article/69987e650def45d1a036ebdea29767f9
Publikováno v:
Therapeutic Advances in Respiratory Disease, Vol 16 (2022)
Background: Acute respiratory distress syndrome (ARDS) is a severe complication among patients with severe acute pancreatitis (SAP), which may be associated with increased mortality in hospitalized patients. Thus, an effective model to predict ARDS i
Externí odkaz:
https://doaj.org/article/8718a646614f45349e43e0593c811d34