Zobrazeno 1 - 10
of 3 587
pro vyhledávání: '"Chen QIAO"'
Autor:
Zhenwei Qin, Yirui Zhu, Jiale Lu, Lin Lin, Yanan Huo, Haoyu Wang, Chen Qiao, Xiangxi Chen, Jianhua Wu, Qingyan Zeng, Xiuming Jin
Publikováno v:
Advances in Ophthalmology Practice and Research, Vol 4, Iss 4, Pp 182-188 (2024)
Purpose: This study aimed to determine the therapeutic effectiveness of different machines in intense pulsed light (IPL) treatment of meibomian gland dysfunction (MGD). Methods: 213 subjects diagnosed with MGD underwent three sessions of IPL treatmen
Externí odkaz:
https://doaj.org/article/0445eb84204c4b23aaf0af36d39427f3
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-16 (2024)
Abstract Fungal diseases are the main factors affecting the quality and production of vegetables. Rapid and accurate detection of pathogenic spores is of great practical significance for early prediction and prevention of diseases. However, there are
Externí odkaz:
https://doaj.org/article/234d21fb2ded4bd2aa84a5b9e31118a8
Autor:
Jiang Chong-hui, Su Ying-ying, Fan Wen-ding, Wu Zhi-xin, Su Yi, Chen Qiao, Huang Shao-Juan, Chen Ping
Publikováno v:
The Egyptian Journal of Bronchology, Vol 18, Iss 1, Pp 1-10 (2024)
Abstract Background The survival benefit of venovenous extracorporeal membrane oxygenation (VV-ECMO) in adult patients with severe acute respiratory distress syndrome (ARDS) remains controversial. This study aimed to investigate the efficiency and po
Externí odkaz:
https://doaj.org/article/108451445dba45f49378add355482368
Autor:
Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120771- (2024)
Modeling dynamic interactions among network components is crucial to uncovering the evolution mechanisms of complex networks. Recently, spatio-temporal graph learning methods have achieved noteworthy results in characterizing the dynamic changes of i
Externí odkaz:
https://doaj.org/article/a77a1a3d97a042c496e33666378de184
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundThe emergence of nanotechnology has injected new vigor into vaccine research. Nanovaccine research has witnessed exponential growth in recent years; yet, a comprehensive analysis of related publications has been notably absent.ObjectiveThis
Externí odkaz:
https://doaj.org/article/03ad9b10c89a479797b4b4d82dfc931c
Autor:
LIANG Ying-kai, SHANG Feng-nan, CHEN Qiao, XIAO Ming-wei, LUO Chen-di, LI Wen-tao, ZHOU Xue-cheng
Publikováno v:
Shipin yu jixie, Vol 39, Iss 7, Pp 99-103 (2023)
Objective: In order to solve the problem of manual weighting of dragon fruit, including time-consuming, laborious and expensive, an automated weight estimation method based on machine vision and machine learning was proposed in this research. Methods
Externí odkaz:
https://doaj.org/article/3e73936e15d54036a070cab16e851abb
Publikováno v:
China Journal of Accounting Research, Vol 16, Iss 4, Pp 100327- (2023)
We investigate the impact of industry information disclosure (IID) on audit quality in Chinese listed companies from 2010 to 2021, by constructing a staggered difference-in-differences model based on the implementation of the IID guidelines in the Sh
Externí odkaz:
https://doaj.org/article/6257486985c14d11b7c7a8403b735af0
Autor:
Ziqi Ma, Jianbin Huang, Xiangdong Zhang, Yong Luo, Minghu Ding, Jun Wen, Weixin Jin, Chen Qiao, Yifu Yin
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract A precise Arctic surface air temperature (SAT) dataset, that is regularly updated, has more complete spatial and temporal coverage, and is based on instrumental observations, is critically important for timely monitoring and improving unders
Externí odkaz:
https://doaj.org/article/29f2da45e14947aca5aac05bc5ffad9b
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
RNA velocity can detect the differentiation directionality by modelling sparse unspliced RNAs, but suffers from high estimation errors. Here, the authors develop a computational method called UniTVelo to reinforce the velocity estimation by introduci
Externí odkaz:
https://doaj.org/article/ae28c1650dfd494ebc1244c4a388e66b
Publikováno v:
智慧农业, Vol 4, Iss 3, Pp 120-131 (2022)
Dragon fruit detection in natural environment is the prerequisite for fruit harvesting robots to perform harvesting. In order to improve the harvesting efficiency, by improving YOLOX (You Only Look Once X) network, a target detection network with an
Externí odkaz:
https://doaj.org/article/b5ef445d0b5b4a6bae3aa5bd2170a170