Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tianli Dai"'
Autor:
Jiahui Ding, Handan Zhang, Tianli Dai, Xueqin Gao, Zhongyuan Yin, Qiong Wang, Mengqi Long, Songwei Tan
Publikováno v:
Pharmaceutics, Vol 16, Iss 2, p 213 (2024)
Poly (β-amino ester) (PBAE) is an exceptional non-viral vector that is widely used in gene delivery, owing to its exceptional biocompatibility, easy synthesis, and cost-effectiveness. However, it carries a high surface positive charge that may cause
Externí odkaz:
https://doaj.org/article/dc0e723cc471490ea55ecff0a1ace3e8
Publikováno v:
IEEE Access, Vol 8, Pp 61421-61432 (2020)
During excitation and demagnetization phase for the superconducting magnet, in dual-active-bridge (DAB) converter based power supply, a dc bias may occur in high-frequency transformer and thus lead to the faults. In this paper, an improved transient
Externí odkaz:
https://doaj.org/article/30c9a4fb8be54d32a4b08c3a62cd8cf4
Autor:
cheng Sun, Gengjie Jia, Peiqi He, Denise Goh, Fuling Li, Felicia Wee, Mengyuan Sun, Tianli Dai, Jeffrey LIM, Shuxia Hao, Lianxin Liu, Joe Yeong, Zhigang Tian
Given the high prevalence and relapse rates of hepatocellular carcinoma (HCC), an increased capacity for early identification of patients most at risk for post-resection recurrence would help improve patient outcomes and prioritize health care resour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8399c5f9b70ab38cf7c6817bc3cacc5f
https://doi.org/10.21203/rs.3.rs-2707861/v1
https://doi.org/10.21203/rs.3.rs-2707861/v1
Autor:
Shengquan Xue, Peng Gao, Fang Liu, Jinggang Qin, Shuqing Zhang, Tianli Dai, Peng Xu, Chao Chen, Min Yu, Weijun Wang, Huajun Liu, Chao Zhou
Publikováno v:
Physica C: Superconductivity and its Applications. 603:1354136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be96bf730ad01046c806e004faef811b
https://doi.org/10.1016/j.physc.2022.1354136
https://doi.org/10.1016/j.physc.2022.1354136
Publikováno v:
IEEE Access, 8:9046035, 61421-61432. IEEE
IEEE Access, Vol 8, Pp 61421-61432 (2020)
IEEE Access, Vol 8, Pp 61421-61432 (2020)
During excitation and demagnetization phase for the superconducting magnet, in dual-active-bridge (DAB) converter based power supply, a dc bias may occur in high-frequency transformer and thus lead to the faults. In this paper, an improved transient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c65d7eaecce41d004b18e42d1b1efc6
https://research.utwente.nl/en/publications/ef821b1c-249f-47c1-bf76-d7f516fec6cd
https://research.utwente.nl/en/publications/ef821b1c-249f-47c1-bf76-d7f516fec6cd
Publikováno v:
Materials Letters. 240:44-46
A step-by-step self-assembly and concurrent self-etching strategy that differs from previous methods used to prepare SiO2@UiO-66-NH2 hollow composite has been reported. The magnetic core was selectively etched to generate a hollow metal-organic frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a91aa880c438c295c0201d379edd657b
https://doi.org/10.1016/j.matlet.2018.12.097
https://doi.org/10.1016/j.matlet.2018.12.097
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 978:164344
High-field (HF) magnet resonance imaging (MRI) is designed as a large aperture human body imaging system. The superconducting magnet provides magnetic field B 0 for HF MRI. The power supply is a key component, provides excitation and demagnetization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f87f9a886740f08abfb65d5b3f59e143
https://doi.org/10.1016/j.nima.2020.164344
https://doi.org/10.1016/j.nima.2020.164344
Autor:
Tianli Dai1, Qi Liu1, Jun Gao1,2, Zhiwei Cao1,3 zwcao@tongji.edu.cn, Ruixin Zhu1,4 zwcao@tongji.edu.cn
Publikováno v:
BMC Bioinformatics. 2011 Supplement 14, Vol. 12 Issue Suppl 14, p1-7. 7p. 2 Diagrams, 1 Chart, 3 Graphs.
Publikováno v:
BMC Bioinformatics, Vol 12, Iss Suppl 14, p S9 (2011)
BMC Bioinformatics
BMC Bioinformatics
Background Prediction of protein-ligand binding sites is an important issue for protein function annotation and structure-based drug design. Nowadays, although many computational methods for ligand-binding prediction have been developed, there is sti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a4597da53c6f9537e0825d10d27ee20
https://doaj.org/article/e06fb30e4dda4fa482bea70c2595e51d
https://doaj.org/article/e06fb30e4dda4fa482bea70c2595e51d