Zobrazeno 1 - 10
of 485
pro vyhledávání: '"Wenjing, Lou"'
Autor:
Huili Sun, Guodong Luan, Yifan Ma, Wenjing Lou, Rongze Chen, Dandan Feng, Shanshan Zhang, Jiahui Sun, Xuefeng Lu
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Cyanobacteria mutants with improved tolerance to combined high light and high temperature (HLHT) are rarely reported. Here, the authors use a hypermutation system for adaptive laboratory evolution and identify a mutant with improved HLHT tolerance by
Externí odkaz:
https://doaj.org/article/7cfd8d886e2149938c0d1f9b42d94c30
Publikováno v:
Microorganisms, Vol 12, Iss 5, p 940 (2024)
In cyanobacteria and chloroplasts (in algae and plants), ATP synthase plays a pivotal role as a photosynthetic membrane complex responsible for producing ATP from adenosine diphosphate and inorganic phosphate, utilizing a proton motive force gradient
Externí odkaz:
https://doaj.org/article/42f27eeda2a943598393e3d9870dd84c
Publikováno v:
Lubricants, Vol 12, Iss 4, p 128 (2024)
Typical lubricants behave in a non-Newtonian manner under conditions of high shear and high pressure, as is commonly observed in lubricated rolling/sliding contacts. To optimize and predict the friction therein, knowledge of the high-pressure rheolog
Externí odkaz:
https://doaj.org/article/9a1fb97ff6184b3bb8efc7ea0ba974ce
Publikováno v:
Nano Select, Vol 3, Iss 10, Pp 1382-1394 (2022)
Abstract Nanoknife is a new tumor ablation technology. It forms nano permanent perforation on tumor cells by releasing high‐voltage pulses, destroying the intracellular balance and making cells apoptosis rapidly. So nano knife is also known as irre
Externí odkaz:
https://doaj.org/article/13cb91ef8d884ae6b350e4c1bad737a1
Publikováno v:
Lubricants, Vol 11, Iss 7, p 280 (2023)
The content of Cu2+ in lubricants is an essential indicator for determining the quality of the lubricant and predicting mechanical failure. Finding an effective and sensitive method for detecting Cu2+ in lubricants is of great importance in oil monit
Externí odkaz:
https://doaj.org/article/e7b5a9fab0f044d880cb2480d05bfdbc
Publikováno v:
Lubricants, Vol 11, Iss 3, p 149 (2023)
In order to improve the flowabilities and anti-friction and anti-wear properties of lubricants, the viscosity variations and tribological performances of oleylamine-modified Fe3O4 nanoparticles as mineral oil additives were systematically investigate
Externí odkaz:
https://doaj.org/article/c8ec4f355dec4b9f963472b91257620a
Publikováno v:
Friction, Vol 9, Iss 4, Pp 747-757 (2020)
Abstract In this study, the nanocomposites of MoS2 nanoparticles (NPs) grown on carbon nanotubes (MoS2@CNT), graphene (MoS2@Gr), and fullerene C60 (MoS2@C60) were synthesized, characterized, and evaluated for potential use as lubricant additives. By
Externí odkaz:
https://doaj.org/article/c2ccfed9ceeb4b1a8d0e31edf83c19fc
SnO nanoparticles on graphene oxide as an effective catalyst for synthesis of lubricating ester oils
Autor:
Huaigang Su, Qin Zhao, Yanan Wang, Qilong Zhao, Cheng Jang, Yongfang Niu, Wenjing Lou, Yanxing Qi
Publikováno v:
Catalysis Communications, Vol 162, Iss , Pp 106370- (2022)
In this paper, nanosized SnO was deposited on graphene oxide (GO) by adopting hydrothermal technique to fabricate a new composite material SnO@GO, which was characterized by TEM, BET, XPS, XRD and FE-SEM. The SnO@GO composite exhibits excellent catal
Externí odkaz:
https://doaj.org/article/5954d697568a4e53bf6c30b57bb04d26
Autor:
Brian Jalaian, Chengzhang Li, Shaoran Li, Thomas Hou, Yongce Chen, Wenjing Lou, Huacheng Zeng
Publikováno v:
IEEE Transactions on Mobile Computing. 22:2862-2877
Degree-of-freedom (DoF)-based models have been proven to be highly successful in modeling and analysis of MIMO systems. Among existing DoF-based models, the number of DoFs used for interference cancellation (IC) is solely based on the number of inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b5875d6dfa7cc027f2a9891a3e94239
https://doi.org/10.1109/tmc.2021.3126449
https://doi.org/10.1109/tmc.2021.3126449
Publikováno v:
IEEE Internet of Things Journal. 10:6352-6366
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74ef5a85762a6b8d6db1af8ad16d6870
https://doi.org/10.1109/jiot.2022.3225377
https://doi.org/10.1109/jiot.2022.3225377