Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Lihui, Peng"'
Autor:
Shiqi Li, Zhongtao Yuan, Lin Liu, Yu Li, Le Luo, Lihui Peng, Mengli Xu, Ping Yin, Yingnian Chen, Xiaoping Li, Qingying Zang, Xi Zhang, Sanbin Wang
Publikováno v:
eJHaem, Vol 5, Iss 3, Pp 584-588 (2024)
Abstract CD7 targeted CAR‐T has demonstrated potential in the treatment of T cell malignancies but no study has been reported about its potential in the prophylaxis of GVHD in allo‐HSCT. Here we reported a special case that a boy diagnosed with r
Externí odkaz:
https://doaj.org/article/65d1117ca02440e58d921b557c836e0c
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-8 (2022)
In Baijiu brewing process, suppliers may adulterate glutinous sorghum with commercially inferior japonica sorghum, which can affect the yield and quality of the final Baijiu production. Currently, sorghum adulteration detection in Baijiu brewing proc
Externí odkaz:
https://doaj.org/article/516730df582642c8be0c0fbd5691c4fa
Autor:
Lihui Peng, Julien E. Gautrot
Publikováno v:
Materials Today Bio, Vol 12, Iss , Pp 100159- (2021)
Tremendous progress in the identification, isolation and expansion of stem cells has allowed their application in regenerative medicine and tissue engineering, and their use as advanced in vitro models. As a result, stem cell manufacturing increasing
Externí odkaz:
https://doaj.org/article/ccf6b5382226476ba1bad9e12d6637d9
Publikováno v:
International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc742528271388c91c1a25fe97994bce
https://doi.org/10.1117/12.2681040
https://doi.org/10.1117/12.2681040
Publikováno v:
Sensors, Vol 21, Iss 4, p 1245 (2021)
In this paper, we propose a deep-learning-based method using a convolutional neural network (CNN) to predict the volume flow rates of individual phases in the oil–gas–water three-phase intermittent flow simultaneously by analyzing the measurement
Externí odkaz:
https://doaj.org/article/97907aff390f429db39af44ed512667b
Autor:
Xue Zhang, Qiuyu Yang, Hao Yu, Feng Yin, Yue He, Lihui Peng, Zixia Zhao, Mengxiang Li, Youxian He, Chengsong He, Jie Chen
Publikováno v:
Rheumatology International. 42:707-716
Adult-onset Still's disease is a nonfamilial, or sporadic, systemic autoinflammatory disorder accompanied by peak fever ≥ 39 °C, arthralgia or arthritis, skin rashes, leukocytosis (≥ 10,000 cells/mm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53bda174806a4d121b628bbf67da2f3c
https://doi.org/10.1007/s00296-022-05097-1
https://doi.org/10.1007/s00296-022-05097-1
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1efce4a248fe030d39209c8f52ec608
https://doi.org/10.1109/tits.2022.3220025
https://doi.org/10.1109/tits.2022.3220025
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18a87834992c8dcd6bd20f039be10b9c
https://doi.org/10.1109/tim.2022.3181289
https://doi.org/10.1109/tim.2022.3181289
Publikováno v:
Rheumatology and Immunology Research. 2:241-248
Objectives The purpose of this study was to identify and analyze the 100 top-cited articles in the field of osteoarthritis (OA) from 1990 to 2020. Methods We used the Web of Science to retrieve the articles related to OA. Then we selected 100 target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6fc4197d6a66e349e0a65a01e482705
https://doi.org/10.2478/rir-2021-0033
https://doi.org/10.2478/rir-2021-0033
Autor:
Shengnan Wang, Delin Hu, Maomao Zhang, Jiawang Qiu Lin, Wei Chen, Francesco Giorgio-Serchi, Lihui Peng, Yi Li, Yunjie Yang
Publikováno v:
Wang, S, Hu, D, Zhang, M, Lin, J Q, Chen, W, Giorgio-Serchi, F, Peng, L & Yang, Y 2022, ' A Digital Twin of Electrical Tomography for Quantitative Multiphase Flow Imaging ', Communications Engineering, vol. 1, 41 . https://doi.org/10.1038/s44172-022-00042-3
Multiphase flow is ubiquitous in nature, industry and research, and accurate flow imaging is critical to understanding this complex phenomenon. Electrical tomography (ET) is a promising technique for multiphase flow visualization and characterization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722d071490c3b2cf327134c8ce47778c
https://doi.org/10.1038/s44172-022-00042-3
https://doi.org/10.1038/s44172-022-00042-3