Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Baozhu, Li"'
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The prevalence of sleep disorders among medical students was high during the COVID-19 pandemic. However, fewer studies have been conducted on sleep disorders among medical students after the COVID-19 pandemic. This study investiga
Externí odkaz:
https://doaj.org/article/b450493dd5734f5d98055b36a25e8d79
Autor:
Yiyu Wang, Hong Wu, Kaidi Li, Ronggui Huang, Jiamin Liu, Zhangwei Lu, Yiyuan Wang, Jing Wang, Yujie Du, Xue Jin, Ya Xu, Baozhu Li
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 278, Iss , Pp 116452- (2024)
The aim of this research was to examine the correlation between the exposure to bisphenol analogues (BPs), such as bisphenol A (BPA), bisphenol F (BPF), and bisphenol S (BPS), and the risk of developing systemic lupus erythematosus (SLE). Ultra perfo
Externí odkaz:
https://doaj.org/article/a6c35d926141479aaf5507d3ba70b0e7
Autor:
Baozhu Li, Majid Khayatnezhad
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26335- (2024)
Short-term prices prediction is a crucial task for participants in the electricity market, as it enables them to optimize their bidding strategies and mitigate risks. However, the price signal is subject to various factors, including supply, demand,
Externí odkaz:
https://doaj.org/article/432d03938de745e8bcce5f1c6dbe3e0c
Autor:
Yusen Zhou, Tian Zhang, Xiaocui Wang, Wenqiang Wu, Jingjing Xing, Zuliang Li, Xin Qiao, Chunrui Zhang, Xiaohang Wang, Guangshun Wang, Wenhui Li, Shenglong Bai, Zhi Li, Yuanzhen Suo, Jiajia Wang, Yanli Niu, Junli Zhang, Chen Lan, Zhubing Hu, Baozhu Li, Xuebin Zhang, Wei Wang, David W. Galbraith, Yuhang Chen, Siyi Guo, Chun-Peng Song
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract The unique dumbbell-shape of grass guard cells (GCs) is controlled by their cell walls which enable their rapid responses to the environment. The molecular mechanisms regulating the synthesis and assembly of GC walls are as yet unknown. Here
Externí odkaz:
https://doaj.org/article/51f7ed9662484bc9b63aa585acc0e7b0
Publikováno v:
Alexandria Engineering Journal, Vol 69, Iss , Pp 25-33 (2023)
In the context of the 6th generation (6G) network, UAV-aided networking is emerging as a promising solution to burst traffic offloading and on-demand service coverage. Given the dynamic networking environment, a UAV migration scheme needs to be as fl
Externí odkaz:
https://doaj.org/article/da21526a50134210a121e6c35ee1e8dd
Publikováno v:
Alexandria Engineering Journal, Vol 64, Iss , Pp 771-783 (2023)
This paper adopts an unmanned aerial vehicle (UAV) relay to forward data from a source sensor to a remote base station (BS). To ensure reliable data transmission, our objective is to minimize the average outage probability along the three-dimensional
Externí odkaz:
https://doaj.org/article/9fe2a35b3ad14a409c88d7c04c949ff6
Publikováno v:
IEEE Access, Vol 11, Pp 126172-126181 (2023)
The air-cooled proton exchange membrane fuel cell is widely used in unmanned aerial vehicle since its small size and high efficiency. The bipolar plate structure is an important factor affecting the performance of fuel cells. This article conducts ex
Externí odkaz:
https://doaj.org/article/0fcf7d4c07ad4030b43d16feecd7b2b5
Publikováno v:
IEEE Access, Vol 11, Pp 65559-65568 (2023)
Vehicle speed prediction plays an important role in vehicle energy saving and safety research. It can contribute to vehicle energy saving and safety assistant driving, route navigation, automatic transmission gear control, and hybrid electric vehicle
Externí odkaz:
https://doaj.org/article/752c89de50664965be86cb44b5c44520
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 725-737 (2023)
Hyperspectral compressive imaging has taken advantage of compressive sensing theory to capture spectral information of the dynamic world in recent decades of years, where an optical encoder is employed to compress high dimensional signals into a sing
Externí odkaz:
https://doaj.org/article/11c52feadab44867841d5d06a125bd3d
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1180 (2024)
Recently, with the remarkable advancements of deep learning in the field of image processing, convolutional neural networks (CNNs) have garnered widespread attention from researchers in the domain of hyperspectral image (HSI) classification. Moreover
Externí odkaz:
https://doaj.org/article/e3720bfc4c6b4814a2fb8d821c6144ed