Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shufan Liu"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 19, Pp 337-345 (2024)
To explore the effect of corn and buckwheat complex on the regulation of lipid metabolism in hyperlipidemic rats, 60 rats were randomly divided into blank control group, hyperlipidemic model group, positive group, corn group, buckwheat group, and cor
Externí odkaz:
https://doaj.org/article/d11c805bdce649cca4a80825259f3b49
Economical production of Pichia pastoris single cell protein from methanol at industrial pilot scale
Publikováno v:
Microbial Cell Factories, Vol 22, Iss 1, Pp 1-16 (2023)
Abstract Background Methanol, synthesized from CO2, is a potentially sustainable one-carbon (C1) resource for biomanufacturing. The use of methanol as a feedstock to produce single cell protein (SCP) has been investigated for decades as an alternativ
Externí odkaz:
https://doaj.org/article/b4377a4f49e3418e8e8439d3b2624f8f
Publikováno v:
Frontiers in Nutrition, Vol 9 (2023)
To study the prevention and mechanism of oat antimicrobial peptides (AMPs) on enteritis. Oat protein was hydrolyzed by alkaline protease and isolated to obtain oat antimicrobial peptides. Rat enteritis models were constructed using dextran sodium sul
Externí odkaz:
https://doaj.org/article/d3621bdefb204ae381ecd0c7f89883d9
Publikováno v:
Journal of Fungi, Vol 9, Iss 4, p 422 (2023)
Methanol, which produced in large quantities from low-quality coal and the hydrogenation of CO2, is a potentially renewable one-carbon (C1) feedstock for biomanufacturing. The methylotrophic yeast Pichia pastoris is an ideal host for methanol biotran
Externí odkaz:
https://doaj.org/article/a9ee1338bf414f8693154b6db4f4e2c6
Publikováno v:
Critical Reviews in Microbiology. :1-15
Autor:
Chengdong Wang, Yueping Wang, Zhenlin Bao, Jianjun Dong, Yan Geng, Shufan Liu, Chuanyang Wang, Ping Nie
Publikováno v:
Ceramics International. 48:28678-28691
Publikováno v:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023.
Publikováno v:
ICCV
Automatic estimation of the number of people in unconstrained crowded scenes is a challenging task and one major difficulty stems from the huge scale variation of people. In this paper, we propose a novel Deep Structured Scale Integration Network (DS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbea4fe8b21c0d58c43ee8d36bd2ef05
http://arxiv.org/abs/1908.08692
http://arxiv.org/abs/1908.08692
Autor:
Shufan Liu, Michael E. Hodgson
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 118:13-21
Timely collection of critical hazard information is the key to intelligent and effective hazard emergency response decisions. Satellite remote sensing imagery provides an effective way to collect critical information. Natural hazards, however, often
Autor:
Michael E. Hodgson, Shufan Liu
Publikováno v:
GIScience & Remote Sensing. 50:652-666
Rapid damage information collection and dissemination during the disaster emergency response phase is a very important remote sensing-based approach. For large disasters like hurricanes and earthquakes, multiple satellite-sensor overpasses with varyi