Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Guangxing Han"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 8, Pp 75-87 (2024)
In this study, bovine blood was utilized as raw material, the extracted bovine hemoglobin was enzymolized, and then the most suitable enzymolysis protease was screened. Single factor combined response surface experiments were used to explore the opti
Externí odkaz:
https://doaj.org/article/914cdc43d7924084bcc7cbec762d3dfe
Autor:
Siddarth Arumugam, Jiawei Ma, Uzay Macar, Guangxing Han, Kathrine McAulay, Darrell Ingram, Alex Ying, Harshit Harpaldas Chellani, Terry Chern, Kenta Reilly, David A. M. Colburn, Robert Stanciu, Craig Duffy, Ashley Williams, Thomas Grys, Shih-Fu Chang, Samuel K. Sia
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-14 (2023)
Abstract Background Point-of-care diagnostic devices, such as lateral-flow assays, are becoming widely used by the public. However, efforts to ensure correct assay operation and result interpretation rely on hardware that cannot be easily scaled or i
Externí odkaz:
https://doaj.org/article/76212bea16e045548dc1b1daf60804a0
Publikováno v:
Food chemistry. 405
The present study focused on the effects of different preparation conditions on the activity and peptide sequence identification of DPP-IV inhibitory peptides based on discarded cowhide collagen and its regulation mechanism. The highest DPP-IV inhibi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10f0d83edd98d658ee5e3f75df3b6a6e
https://doi.org/10.1007/978-3-031-20059-5_7
https://doi.org/10.1007/978-3-031-20059-5_7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198083
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6df13bf4b7d13e4926a6163d2d8ce575
https://doi.org/10.1007/978-3-031-19809-0_4
https://doi.org/10.1007/978-3-031-19809-0_4
Autor:
Guangxing Han, Kenneth H. Mayer, Shih-Fu Chang, Jiawei Ma, Siddarth Arumugam, Uzay Macar, Darrell Ingram, Thomas E. Grys, Craig Duffy, Andy Reynolds, Kathrine McAulay, Samuel K. Sia, Ashley Williams
BackgroundThe COVID-19 pandemic has accelerated the pace of innovation around virtual care visits and testing technology. Here we present the SafeSwab (Safe Health Systems, Los Angeles, CA), an integrated, universal sample collection and dispensing d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3108a1b5680bba10d62cc5496063965d
https://doi.org/10.1101/2021.08.20.21262386
https://doi.org/10.1101/2021.08.20.21262386
Autor:
Siddarth Arumugam, David A.M. Colburn, Shih-Fu Chang, Macar U, Ying A, Kathrine McAulay, Samuel K. Sia, Thomas E. Grys, Jiawei Ma, Guangxing Han, Stanciu R, Ingram D
Point-of-care lateral-flow assays (LFAs) are becomingly increasingly prevalent for diagnosing individual patient disease status and surveying population disease prevalence in a timely, scalable, and cost-effective manner, but a central challenge is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539bd3b587d23e7378dcb83c284610fa
https://doi.org/10.1101/2021.06.23.21258927
https://doi.org/10.1101/2021.06.23.21258927
Publikováno v:
Peer-to-Peer Networking and Applications. 13:287-303
This paper focuses on the energy consumption of content distribution and sharing services that have a significant percentage of traffic on the Internet today. Taking the “energy saving” and “network robustness in traditional traffic engineering
Autor:
Lihua Yang, Qiaomin Gou, Zonglin Guo, Guangxing Han, Xiangzhen Ge, Qunli Yu, Mingshan Han, Ling Han
Publikováno v:
Meat science. 182
This study aimed to evaluate the effects of super-chilled storage (-1.3 °C) combined with starch film packaging containing different contents of sea buckthorn pomace extract (SSF, 0, 1, 2, and 3%, w/w) on the quality of chilled beef. The release kin
Few-shot Learning has been studied to mimic human visual capabilities and learn effective models without the need of exhaustive human annotation. Even though the idea of meta-learning for adaptation has dominated the few-shot learning methods, how to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71a73db2c4ecf3fa10cf66fc2a6a58df