BACKGROUND Marked progress is achieved in understanding the physiopathology of
coronavirus disease 2019 (COVID-19), which caused a global pandemic. However, the CD4 + T …

Montmorillonite could be a kind of potential low cost sorbent for various kinds of heavy metals
since it is abundant in nature and only needs little processing. Humic acid modified Ca-…

Primary biliary cholangitis (PBC) is an autoimmune liver disease with a strong hereditary
component. Here, we report a genome-wide association study that included 1,122 PBC cases …

Despite substantial progress in Facial Expression Recognition (FER) in recent decades, most
previous methods have been developed to recognize constrained facial expressions. Real-…

Organo-montmorillonites (organo-Mts) were prepared by grafting with 3-aminopropyl
triethoxysilane (APTES), and surface modification which was composed of hexadecyl trimethyl …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories, …

Semantic segmentation is one of the significant tasks in understanding aerial images with high
spatial resolution. Recently, Graph Neural Network (GNN) and attention mechanism have …

Facial Expression Recognition (FER) has long been a challenging task in the field of computer
vision. Most of the existing FER methods extract facial features on the basis of face pixels, …

Crowd counting is a challenging task due to many challenges such as scale variations and
noisy background. To handle these challenges, we propose a novel framework named Multi-…

When matching the SIFT feature points, there will be lots of mismatches. The RANSAC
algorithm can be used to remove the mismatches by finding the transformation matrix of these …