Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Qianjun Liu"'
Publikováno v:
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Purpose Left bundle branch block (LBBB) has been confirmed to be independently associated with adverse outcomes in dilated cardiomyopathy (DCM). However, prognostic data on nonspecific intraventricular conduction delay (NSIVCD) are still lim
Externí odkaz:
https://doaj.org/article/a76d6536991847fe95b9af8843468149
Autor:
Qianjun Liu, Yuan Hu, Wenjuan Chen, Taoyue Yao, Wenfeng Li, Zhenghui Xiao, Jinqiao Liu, Yunbin Xiao
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
ObjectivesWe aimed to investigate the association between right ventricular longitudinal strain measured by two-dimensional speckle-tracking echocardiography (2D-STE) and right heart catheterization data in pediatric patients with pulmonary hypertens
Externí odkaz:
https://doaj.org/article/278267f4b2f545589a0cb20b48e2a60e
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 2, Pp 143-152 (2020)
Online short-term rental platforms, such as Airbnb, have been becoming popular, and a better pricing strategy is imperative for hosts of new listings. In this paper, we analyzed the relationship between the description of each listing and its price,
Externí odkaz:
https://doaj.org/article/5a3a2a9dd9164c0badb5540b5620e5aa
Autor:
Qianjun Liu, Jiepeng Tang, Di Chen, Yangmei Zhou, Qintie Lin, Xiaoguo Ma, Min Zhang, Huawen Hu
Publikováno v:
Arabian Journal of Chemistry, Vol 13, Iss 2, Pp 4102-4110 (2020)
To detect, identify, and quantify the polycyclic aromatic hydrocarbons (PAHs) released into the environment, the PAHs need to be isolated from the soil matrix. In this work, a modified quick, easy, cheap, efficient, rugged and safe (QuEChERS) method
Externí odkaz:
https://doaj.org/article/fdb017c0ce2d4c148395910018a7196e
Publikováno v:
IEEE Access, Vol 8, Pp 70111-70124 (2020)
For the fault diagnosis problems of rotating machinery in the real industrial practice, measurement data with imbalanced class distributions negatively affect the diagnostic performance of most conventional machine learning classification algorithms
Externí odkaz:
https://doaj.org/article/a4ef170b279a45c6b8617f426c48de52
Publikováno v:
In Microchemical Journal November 2019 150
Autor:
Xuying Tan, Ting Zhang, Xuejiao Ding, Xiaopeng Zhao, Qianjun Liu, Zhenglong Xia, Qihua Cao, Feng Yan, Li Chen, Mingwei Zhu, Yaping Tang, Yanyan Song
Publikováno v:
Journal of Neuroscience Research. 101:1107-1124
Publikováno v:
Energy & Fuels. 37:3523-3554
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-13
Publikováno v:
International Journal of Hydrogen Energy. 47:39338-39363