Menghan Liu

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This study aimed to estimate the distribution of hepatitis B virus (HBV) C/D recombinant in Han and Tibet patients with chronic hepatitis B (CHB) and then learn such strain's replication capacity in vivo. A total of 331 serum samples were collected from Han outpatients from Sichuan Province and Tibetan outpatients from Tibet. Viral genotypes in these(More)
Ultrasound imaging has been widely used in bio-medical imaging diagnosis for a long history because of its merits: no radiation, high penetration depth, and real-time imaging-capability. In this paper, we propose an ultrasound-based system that monitors respiratory status of asthma subjects via detecting of diaphragm movement. This system implements(More)
An efficient and accurate measurement of congestion intensity helps investigate the traffic conditions at different road classes and provides useful information for transportation planning and traffic operation improvement. However, the existing traffic congestion intensity measurement models often suffer from two major problems: one is that there is no(More)
In the last couple years, deep learning gained great popularity in health and medical science. For analyzing personal health data, privacy of patients and their data is one of the biggest concerns. Traditional methods have the possibility of leaking data because of transferring raw data and storing all data in centralized houseware. Therefore, we proposed a(More)
This paper focuses on applying a fourth-order cumulant with spatial smoothing to direction of arrival (DOA) estimation of coherent signals based on a uniform circular array (UCA). We use three types of cumulant matrices in the so-called mode space with spatial smoothing to handle this problem. The DOA estimation performance comparisons of these cumulant(More)
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