Atherosclerosis (AS) is a disease with high global incidence and mortality rates. Currently, the treatment of AS in clinical practice carries a high risk of adverse effects and toxic side effects. The pretreatment of mesenchymal stem cells (MSCs) with drugs may enhance the bioactivity of MSC‑derived exosomes (MSC‑exos), which could be a promising candidate for inhibiting the progression of AS.
View Article and Find Full Text PDFIEEE Trans Pattern Anal Mach Intell
May 2024
In multi-view environment, it would yield missing observations due to the limitation of the observation process. The most current representation learning methods struggle to explore complete information by lacking either cross-generative via simply filling in missing view data, or solidative via inferring a consistent representation among the existing views. To address this problem, we propose a deep generative model to learn a complete generative latent representation, namely Complete Multi-view Variational Auto-Encoders (CMVAE), which models the generation of the multiple views from a complete latent variable represented by a mixture of Gaussian distributions.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
June 2022
Behavioral assessment of sound localization in the Coma Recovery Scale-Revised (CRS-R) poses a significant challenge due to motor disability in patients with disorders of consciousness (DOC). Brain-computer interfaces (BCIs), which can directly detect brain activities related to external stimuli, may thus provide an approach to assess DOC patients without the need for any physical behavior. In this study, a novel audiovisual BCI system was developed to simulate sound localization evaluation in CRS-R.
View Article and Find Full Text PDFBrain-Computer Interface (BCI) techniques hold a great promise for neuroprosthetic applications. A desirable BCI system should be portable, minimally invasive, and feature high classification accuracy and efficiency. As two commonly used non-invasive brain imaging modalities, Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) BCI system have often been incorporated in the development of hybrid BCI systems, largely due to their complimentary properties.
View Article and Find Full Text PDFThe performance of the masticatory muscle is frequently affected and presents high heterogeneity poststroke. Surface electromyography (EMG) is widely used to quantify muscle movement patterns. However, only a few studies applied EMG analysis on the research of masticatory muscle activities poststroke, and most of which used single parameter-root mean squares (RMS).
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