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pro vyhledávání: '"Wenyu Pei"'
Autor:
Bingqiang Mao, Guocheng Qi, Liang Mi, Feng Yan, Yulong Xian, Peng Chen, Chen Li, Xiaochuan Zhao, Yanguo Sun, Wenyu Pei
Publikováno v:
EAI Endorsed Transactions on Energy Web, Vol 11 (2024)
INTRODUCTION: With the continuous development of oil and gas pipeline network monitoring and control technology, the need for data transmission and communication is becoming more and more prominent. In this context, OPC UA has attracted wide attent
Externí odkaz:
https://doaj.org/article/33d0c8a3125c4c67a8fc07ba5ce22250
Publikováno v:
Molecules, Vol 27, Iss 1, p 294 (2022)
Poly-(3-hydroxybutyrate) (PHB) is a polyester with biodegradable and biocompatible characteristics and has many potential applications. To reduce the raw material costs and microbial energy consumption during PHB production, cheaper carbon sources su
Externí odkaz:
https://doaj.org/article/c290320520044255b6b3e8ad368effd4
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e107101 (2014)
Genome-wide association studies (GWAS) provide a powerful approach for identifying quantitative trait loci without prior knowledge of location or function. To identify loci associated with wool production traits, we performed a genome-wide associatio
Externí odkaz:
https://doaj.org/article/68783ff95efe43d0bcc756235004d606
Publikováno v:
Molecules
Poly-(3-hydroxybutyrate) (PHB) is a polyester with biodegradable and biocompatible characteristics and has many potential applications. To reduce the raw material costs and microbial energy consumption during PHB production, cheaper carbon sources su
Autor:
Chuqin Wu, Zhilan Chen, Chen Zhang, Haoran Wang, Rvnfeng Yang, Wenyu Pei, Yong Zhang, Daan Nie, Shaoshuai Wang, Kecheng Huang, Shixuan Wang, Aiyue Luo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e0851ca3adf5585d058ca06e5ab515
https://doi.org/10.37766/inplasy2021.9.0052
https://doi.org/10.37766/inplasy2021.9.0052
Akademický článek
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Publikováno v:
Journal of Petroleum Exploration & Production Technology; Jun2022, Vol. 12 Issue 6, p1541-1548, 8p
Publikováno v:
PLoS ONE
PLoS ONE, Vol 9, Iss 9, p e107101 (2014)
PLoS ONE, Vol 9, Iss 9, p e107101 (2014)
Genome-wide association studies (GWAS) provide a powerful approach for identifying quantitative trait loci without prior knowledge of location or function. To identify loci associated with wool production traits, we performed a genome-wide associatio