Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Miaomiao, Wei"'
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-20 (2024)
Abstract Background The monitoring and analysis of quasi-periodic biological signals such as electrocardiography (ECG), intracranial pressure (ICP), and cerebral blood flow velocity (CBFV) waveforms plays an important role in the early detection of a
Externí odkaz:
https://doaj.org/article/1f3872f49c9b4080b72ebfcd584a7197
Autor:
Tongling Xiao, Miaomiao Wei, Xiaokun Guo, Yu Zhang, Zhongyan Wang, Xiaoshuang Xia, Xuemei Qi, Lin Wang, Xin Li, Sean X. Leng
Publikováno v:
Immunity & Ageing, Vol 20, Iss 1, Pp 1-13 (2023)
Abstract Background Older adults are more vulnerable to seasonal influenza than younger adults. The immune responses of older persons to the influenza vaccine are usually poorer than those of young individuals, which is hypothesized due to immunosene
Externí odkaz:
https://doaj.org/article/deb72d1864c545658e3e2670178d12e2
Autor:
Miaomiao Wei, Yuancheng Gao, Dongsheng Cheng, Haiying Zhang, Wei Zhang, Yilan Shen, Qunwei Huang, Xiaoning An, Bing Wang, Zhonghai Yu, Niansong Wang, Hongbo Chen, Youhua Xu, Dingkun Gui
Publikováno v:
Frontiers in Medicine, Vol 9 (2023)
IntroductionMitochondria dysfunction is one of the primary causes of tubular injury in acute kidney injury (AKI). Notoginsenoside Fc (Fc), a new saponin isolated from Panax notoginseng, exhibited numerous pharmacological actions. However, the benefic
Externí odkaz:
https://doaj.org/article/e21d6946f4884051a7e9b168d64993c1
Publikováno v:
Sensors, Vol 23, Iss 17, p 7461 (2023)
This research presents a comprehensive study of the dichotomous search iterative parabolic discrete time Fourier transform (Ds-IpDTFT) estimator, a novel approach for fine frequency estimation in noisy exponential signals. The proposed estimator leve
Externí odkaz:
https://doaj.org/article/6bdc8bb67e6b43c4b1f1b80d90abf8c2
Autor:
Jianyi Li, Miaomiao Wei, Xin Liu, Shune Xiao, Yuan Cai, Fang Li, Jiao Tian, Fang Qi, Guangchao Xu, Chengliang Deng
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 24, Iss , Pp 554-578 (2021)
Chronic diabetic wounds affect the quality of life of patients, resulting in significant social and economic burdens on both individuals and the health care system. Although treatment methods for chronic diabetic wounds have been explored, there rema
Externí odkaz:
https://doaj.org/article/1310f9904daf4bc9a3ea59e4fe70382a
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 19, p 11696 (2022)
Liver fibrosis is a wound-healing response caused by the abnormal accumulation of extracellular matrix, which is produced by activated hepatic stellate cells (HSCs). Most studies have focused on the activated HSCs themselves in liver fibrosis, and wh
Externí odkaz:
https://doaj.org/article/fe0e3064acb54a008885edb56072126a
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Rhizoctonia solani AG1 IA is a necrotrophic fungus that causes rice sheath blight, one of the most significant rice diseases in the world. However, little is known about the pathogenic mechanisms and functions of effectors in R. solani AG1 IA. We per
Externí odkaz:
https://doaj.org/article/2d8d77bb33764a99940f726782182386
Publikováno v:
Sensors, Vol 22, Iss 3, p 861 (2022)
The frequency estimation of complex exponential carrier signals in noise is a critical problem in signal processing. To solve this problem, a new iterative frequency estimator is presented in this paper. By iteratively computing the interpolation of
Externí odkaz:
https://doaj.org/article/2d0c431ace1f463ea4fca7c74290cfae
Ensemble Data Reduction Techniques and Multi-RSMOTE via Fuzzy Integral for Bug Report Classification
Publikováno v:
IEEE Access, Vol 6, Pp 45934-45950 (2018)
Due to the unavoidable bugs appearing in the most of the software systems, bug resolution has become one of the most important activities in software maintenance. To decrease the time cost in manual work, text classification techniques are applied to
Externí odkaz:
https://doaj.org/article/f4832e42738e48e481f12b13affa0f16
Background: The monitoring and analysis of quasi-periodic biological signals such as electrocardiography (ECG), intracranial pressure (ICP), and cerebral blood flow velocity (CBFV) waveforms plays an important role in the early detection of adverse p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d18114c3406666cfed7f486431b073a5
https://doi.org/10.21203/rs.3.rs-2909348/v1
https://doi.org/10.21203/rs.3.rs-2909348/v1
