Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Li-jia Wang"'
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 39, Iss 03, Pp 278-290 (2022)
Liver cancer is one of the most common malignant tumors. In Asia, liver cancer often develops on a background of cirrhosis caused by chronic hepatitis. The procedure of hepatitis, cirrhotic nodules, dysplastic nodules, and then hepatocellular carcino
Externí odkaz:
https://doaj.org/article/c0aaeb11952a46d1bfb493ed09efaf81
Autor:
Jian-sheng LIN, Li-jia WANG
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 39, Iss 1, Pp 72-86 (2022)
The left myocardium is the strongest cardiac muscle, representing the ability of heart to pump arterial blood throughout the body. Quantitative analysis of the contractive motion of left ventricle (LV) stands an important approach to diagnose cardiov
Externí odkaz:
https://doaj.org/article/0b5fb5c618c4430d96a12f685c89c698
Autor:
Yu Du, Ya-Ning Wang, Qi Wang, Xiao-Hui Qi, Gao-Feng Shi, Li-Tao Jia, Xiang-Ming Wang, Jia-Bao Shi, Feng-Yun Liu, Li-Jia Wang, Xiang Liu
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Objective: In this study, we compared the enhancement of blood vessels and liver parenchyma on enhanced computed tomography (CT) of the upper abdomen with two concentrations of contrast media (400 and 300 mg I/mL) based on similar iodine delivery rat
Externí odkaz:
https://doaj.org/article/6cc9ab90fbe74fd0bff3170b2e7e1542
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 38, Iss 3, Pp 392-402 (2021)
In this paper, a new method for fine brain functional parcellation based on resting-state functional magnetic resonance imaging (rs-fMRI) data was proposed. The method combines the t-distribution stochastic neighbor embedding (t-SNE) and automatic sp
Externí odkaz:
https://doaj.org/article/c9a1eb080abd49edbf70657749730598
Autor:
Jian-Hua Han, Keith Shubeck, Geng-Hu Shi, Xiang-En Hu, Lei Yang, Li-Jia Wang, Wei Zhao, Qiang Jiang, Gautum Biswas
Publikováno v:
Educational Technology & Society, Vol 24, Iss 3, Pp 194-209 (2021)
Intelligent learning technologies are often applied within the educational industries. While these technologies can be used to create learning experiences tailored to an individual student, they cannot address students’ affect accurately and quickl
Externí odkaz:
https://doaj.org/article/f87c214d4d8f453d8c3100fbe020676d
Publikováno v:
Journal of Chemistry, Vol 2016 (2016)
Bioaugmentation with degrading bacteria can improve the treatment of nicotine-containing tobacco industrial wastewater effectively. However, the transient and extremely high feeding of pollutants may compromise the effectiveness of the bioaugmented r
Externí odkaz:
https://doaj.org/article/6c2ac6ad31da4ebc9e67aa249e84682c
Autor:
Genenko, Yuri A., Zhang, Maohua, Vorotiahin, Ivan S., Khachaturyan, Ruben, Liu, Yi-Xuan, Li, Jia-Wang, Wang, Ke, Koruza, Jurij
A stochastic model of electric field-driven polarization reversal in orthorhombic ferroelectrics is advanced, providing a description of their temporal electromechanical response. The theory accounts for all possible parallel and sequential switching
Externí odkaz:
http://arxiv.org/abs/2109.00406
Publikováno v:
In Ocean Engineering 15 June 2024 302
Publikováno v:
In Acta Materialia 1 June 2021 211