Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shiqi Hou"'
Autor:
Yumeng Li, Shiqi Hou, Ziwei Ren, Shaojie Fu, Sunhaoyu Wang, Mingpeng Chen, Yan Dang, Hongshen Li, Shizhong Li, Pengsong Li
Publikováno v:
Stress Biology, Vol 3, Iss 1, Pp 1-12 (2023)
Abstract The thermotolerant yeast Kluyveromyces marxianus is known for its potential in high-temperature ethanol fermentation, yet it suffers from excess acetic acid production at elevated temperatures, which hinders ethanol production. To better und
Externí odkaz:
https://doaj.org/article/5501aa0edaca4cde9e0c8f9ecf343555
Publikováno v:
Renewable Energy. 207:47-59
Publikováno v:
2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).
Autor:
Yumeng Li, Shiqi Hou, Ziwei Ren, Shaojie Fu, Sunhaoyu Wang, Mingpeng Chen, Yan Dang, Hongshen Li, Shizhong Li, Pengsong Li
The thermotolerant yeast Kluyveromyces marxianus has great potential for high-temperature ethanol fermentation, but it produces excess acetic acid during high-temperature fermentation, which inhibits ethanol production. The mechanisms of K. marxianus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db95685d5224771b3c718dffaff63357
https://doi.org/10.1101/2022.06.10.495650
https://doi.org/10.1101/2022.06.10.495650
Autor:
Yan Wei, Yumeng Li, Yayu Wang, Xinyue Luo, Feirong Du, Weifang Liu, Li Xie, Jianwei Chen, Ziwei Ren, Shiqi Hou, Sunhaoyu Wang, Shaojie Fu, Yan Dang, Pengsong Li, Xin Liu
Publikováno v:
Environmental research. 212
In order to explore the microbial diversity in industrial effluents, and on this basis, to verify the feasibility of tracking industrial effluents in sewer networks based on sequencing data, we collected 28 sewage samples from the industrial effluent
Publikováno v:
Information Security and Cryptology ISBN: 9783030883225
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ad0a4ce78af87d8f620b2a9dd0c2005
https://doi.org/10.1007/978-3-030-88323-2_29
https://doi.org/10.1007/978-3-030-88323-2_29
Autor:
Yan Wei, Yumeng Li, Yayu Wang, Xinyue Luo, Feirong Du, Weifang Liu, Li Xie, Jianwei Chen, Ziwei Ren, Shiqi Hou, Sunhaoyu Wang, Shaojie Fu, Yan Dang, Pengsong Li, Xin Liu
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10905
Agricultural emission reduction is a key objective associated with sustainable agricultural development and a meaningful way to slow down global warming. Based on the comprehensive estimation of agricultural carbon emissions, this study applied the t
Publikováno v:
Information Security and Cryptology ISBN: 9783030883225
Inscrypt
Inscrypt
KNOT is one of the 32 candidates in the second round of NIST’s lightweight cryptography standardization process. The KNOT family consists of bit-slice lightweight Authenticated Encryption with Associated Data (AEAD) and hashing algorithms. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d83c98a8988a2f4b1447869db43dc1
https://doi.org/10.1007/978-3-030-88323-2_9
https://doi.org/10.1007/978-3-030-88323-2_9
Publikováno v:
2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD).
Acoustic emission (AE) detection, as a non-electrical detection method, is very suitable for effective fault detection of power equipment with a strong electromagnetic field. However, the AE signal collected at industrial sites often contains a lot o