Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Manyun Huang"'
Autor:
Xinli Guo, Manyun Huang, Changpeng Song, Changrong Nie, Xinxin Zheng, Zhou Zhou, Shuiyun Wang, Xiaohong Huang
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34727- (2024)
Mitral valve (MV) leaflet elongation is recognized as a primary phenotypic expression of hypertrophic cardiomyopathy (HCM) that contributes to obstruction. This study investigates the correlation between MV length and genotype mutations in the two pr
Externí odkaz:
https://doaj.org/article/84104e16f21c40f48fe41bee6d83b7e5
Autor:
Changpeng Song, Shengwei Wang, Xinli Guo, Manyun Huang, Xinxin Zheng, Jie Lu, Keshan Ji, Shihua Zhao, Jingang Cui, Shuiyun Wang, Xiaohong Huang
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Myocardial bridging (MB) is common in patients with hypertrophic cardiomyopathy (HCM). There are sparse data on the impact of MB on myocardial fibrosis in HCM. This study was designed to evaluate the relationship between MB and my
Externí odkaz:
https://doaj.org/article/a77e4cdcc59e45ee98fdf04749c86a85
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 3, Pp 1259-1268 (2024)
The increasing penetration of renewable energy resources with highly fluctuating outputs has placed increasing concern on the accuracy and timeliness of electric power system state estimation (SE). Meanwhile, we note that only a fraction of system st
Externí odkaz:
https://doaj.org/article/92b657d15dc3410bb9d2948456c6cd84
Autor:
Manyun Huang, Jian Zhang, Changpeng Song, Shuiyun Wang, Zhou Zhou, Hongyue Wang, Shihua Zhao, Kunlun Yin, Li Li, Shujuan Yang, Xinxin Zheng, Jie Lu, Xiaohong Huang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 5 (2023)
Background Sarcomere gene mutation and myocardial fibrosis are both associated with poorer clinical outcomes in patients with hypertrophic cardiomyopathy (HCM). The aim of this study was to determine the relationship between sarcomere gene mutation a
Externí odkaz:
https://doaj.org/article/36dbd6457698463e84370cb8a211f659
Autor:
Jian Zhang, Changsheng Zhu, Changrong Nie, Changpeng Song, Yang Zhang, Manyun Huang, Xinxin Zheng, Jie Lu, Shuiyun Wang, Xiaohong Huang
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 3 (2022)
Background Obesity is an established cardiovascular risk factor in patients with hypertrophic cardiomyopathy. Postoperative atrial fibrillation (POAF) is one of the most common complications after surgery in patients with obstructive hypertrophic car
Externí odkaz:
https://doaj.org/article/f42baa83413f41578f5156a97491d149
Publikováno v:
IEEE Access, Vol 7, Pp 120984-120996 (2019)
The establishment and development of an integrated energy market (IEM) contributes to the equitable distribution of electrical and thermal energy production resources. However, the application of conventional locational marginal price theory generall
Externí odkaz:
https://doaj.org/article/88bf1ad54fd541a0b54cb5122f0db91a
Publikováno v:
IEEE Access, Vol 7, Pp 120350-120359 (2019)
The number of real-time supervisory control and data acquisition (SCADA) measurements in power distribution systems is scarce. This limits the reliability of state estimation (SE) results for distribution systems. Therefore, some studies seek to enha
Externí odkaz:
https://doaj.org/article/7d4993402a004670b0a47d6368afaa64
Autor:
Haixiang Zang, Minghao Geng, Mingfeng Xue, Xiaobo Mao, Manyun Huang, Sheng Chen, Zhinong Wei, Guoqiang Sun
Publikováno v:
IEEE Access, Vol 7, Pp 109990-110001 (2019)
State estimation has been widely used in power system energy management systems. However, the application of state estimation for integrated electrical and heating networks (IEHNs) remains in a preliminary stage. This paper addresses this issue by pr
Externí odkaz:
https://doaj.org/article/124358085d0d4dd1968cd32753f09554
Publikováno v:
IEEE Access, Vol 6, Pp 14620-14628 (2018)
Conventional state estimators, such as the weighted least squares estimator, have been widely employed for state estimation in power systems. However, these methods have difficulty addressing the leverage effect and rejecting erroneous measurements s
Externí odkaz:
https://doaj.org/article/76337f3bfa5d4ed7b72d9edabda49991
Publikováno v:
IEEE Internet of Things Journal. 10:7636-7644