Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mengchen Zhao"'
Autor:
Lei Chen, Zhi Yu, Mengchen Zhao, Dorsaf Kerfahi, Nan Li, Lingling Shi, Xiwu Qi, Chang-Bae Lee, Ke Dong, Hae-In Lee, Sang-Seob Lee
Publikováno v:
Journal of Fungi, Vol 10, Iss 8, p 556 (2024)
Exploring species diversity along elevational gradients is important for understanding the underlying mechanisms. Our study focused on analyzing the species diversity of fungal communities and their subcommunities at different trophic and taxonomic l
Externí odkaz:
https://doaj.org/article/d36a2f4d9bef4789a61b557a5cd9ca1a
Autor:
Mengchen Zhao, Santiago Gomez-Rosero, Hooman Nouraei, Craig Zych, Miriam A. M. Capretz, Ayan Sadhu
Publikováno v:
Energies, Vol 17, Iss 7, p 1672 (2024)
Building energy consumption takes up over 30% of global final energy use and 26% of global energy-related emissions. In addition, building operations represent nearly 55% of global electricity consumption. The management of peak demand plays a crucia
Externí odkaz:
https://doaj.org/article/a1296e29389a406182df9cb820b0a2d2
Publikováno v:
Journal of Infrastructure Preservation and Resilience, Vol 3, Iss 1, Pp 1-15 (2022)
Abstract Structural health monitoring (SHM) system aims to monitor the in-service condition of civil infrastructures, incorporate proactive maintenance, and avoid potential safety risks. An SHM system involves the collection of large amounts of data
Externí odkaz:
https://doaj.org/article/f3ba0a55792447b2bdab9bddb2d1bae0
Autor:
Takayuki Hirano, Kana Mitsuzawa, Shun Ishioka, Kazuho Daicho, Hiroto Soeta, Mengchen Zhao, Masaaki Takeda, Yoshihiro Takai, Shuji Fujisawa, Tsuguyuki Saito
Publikováno v:
Frontiers in Chemistry, Vol 8 (2020)
We report the anisotropic thermal expansion of a transparent nanopaper structure comprising cellulose nanofibers (CNFs). The coefficient of thermal expansion (CTE) of the nanopaper in the out-of-plane direction was 44.6 ppm/°C in the temperature ran
Externí odkaz:
https://doaj.org/article/af07c714e223400896f08cb8b1857b60
Publikováno v:
Sensors, Vol 21, Iss 14, p 4844 (2021)
Aiming at the problem of insufficient separation accuracy of aliased signals in space Internet satellite-ground communication scenarios, a stacked long short-term memory network (Stacked-LSTM) separation method based on deep learning is proposed. Fir
Externí odkaz:
https://doaj.org/article/99ae0882488a4e5f9da7046ccad0b780
Publikováno v:
Biomacromolecules. 24:1881-1887
Publikováno v:
Interactive Learning Environments. :1-4
Autor:
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333798
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f558bc2b5b58546a4def3a883870244
https://doi.org/10.1007/978-3-031-33380-4_31
https://doi.org/10.1007/978-3-031-33380-4_31
Autor:
Meng Zhang, Xiumei Ma, Zhen Xiao, Ao Sun, Mengchen Zhao, Yaru Wang, Dejian Huang, Xiaonan Sui, Junwei Huo, Yan Zhang
Publikováno v:
Food Chemistry. 421:136148
Publikováno v:
Cellulose. 29:2805-2816
Raw material selection for cellulose nanofiber (CNF) production is a crucial step for tailoring CNF properties for its intended applications. Thus, understanding the dependency of the raw material on the resulting CNF properties is imperative. Howeve