Fast NMR spectroscopy reconstruction with a sliding window based Hankel matrix.

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most promising analytical chemistry techniques, although it takes a long time to acquire data. Non-uniform sampling (NUS) is an effective way to reduce the sampling time, but faithful reconstruction methods are needed. The low rank Hankel matrix (LRHM) approach uses the low rank constraint to obtain high-quality spectra from NUS signals, but the reconstruction has a considerable time overhead.

A review on deep learning MRI reconstruction without fully sampled k-space.

Background: Magnetic resonance imaging (MRI) is an effective auxiliary diagnostic method in clinical medicine, but it has always suffered from the problem of long acquisition time. Compressed sensing and parallel imaging are two common techniques to accelerate MRI reconstruction. Recently, deep learning provides a new direction for MRI, while most of them require a large number of data pairs for training.

Factors associated with intention to uptake pneumococcal vaccines among Chinese elderly aged 60 years and older during the early stage of COVID-19 pandemic.

Innoculation of pneumococcal vaccines among the elderly is an effective public health policy to prevent pneumococcal diseases and it is widely promoted by many developed countries. The pneumococcal vaccination rate among the elderly in China was only 3.7% in 2019, it grew rapidly during the early stage of the COVID-19 pandemic.