Hyperspectral imaging (HSI) classification has become a popular research topic in recent
years, and effective feature extraction is an important step before the classification task. …

Classification of hyperspectral images (HSI) has been a challenging problem under active
investigation for years especially due to the extremely high data dimensionality and limited …

Electromagnetically induced transparency (EIT) is a promising technology for the enhancement
of light-matter interactions, and recent demonstrations of the EIT analogue realized in …

Background Although taking supplements that contain 400 μg of folic acid before and
during early pregnancy reduces a woman's risk for having a baby with a neural-tube defect (NTD), …

With the advance of deep learning, it definitely has achieved the unprecedented success in
the community of artificial intelligence. However, the issue of the intellectual property (IP) …

To overcome shortcomings of current small‐diameter vascular prostheses, we developed a
novel allogenic vascular graft from a decellularized scaffold modified through heparin …

Successful construction of a small‐diameter bioartificial vascular graft remains a great challenge.
This study reports on novel tissue engineering vascular grafts (TEVGs) constructed by …

Epigallocatechin gallate (EGCG) is a major polyphenol in green tea with beneficial effects
on the impairment in learning and memory. Autophagy is a cellular process that protects …

Recent evidence has established that consumption of High-fat diet (HFD)-induced obesity is
associated with deficits in hippocampus-dependent memory/learning and mood states. …

With the prevalence of adopting data-driven convolution neural network (CNN)-based
algorithms into the community of digital image forensics, some novel supervised classifiers have …