We propose a novel method for detecting mesh saliency, a perceptually-based measure of
the importance of a local region on a 3D surface mesh. Our method incorporates global …

Semantic segmentation is a challenging and important task in computer vision. Convolutional
neural networks (CNNs) have demonstrated their outstanding performances on such …

Objective To identify systemic sclerosis (SSc) susceptibility loci via a genome‐wide association
study. Methods A genome‐wide association study was performed in 137 patients with …

Ankylosing spondylitis (AS) is a chronic inflammatory disease primarily involving the spine
and sacroiliac joint and rarely the kidneys. This study aimed to define the clinical and …

The stabilization of black-phase formamidinium lead iodide (α-FAPbI 3 ) perovskite under
various environmental conditions is considered necessary for solar cells. However, challenges …

The Delta-Notch signaling pathway is an evolutionarily conserved intercellular signaling
mechanism essential for cell fate specification. Mind bomb 1 (Mib1) has been identified as a …

Binary wettability patterned surfaces with extremely high wetting contrasts can be found in
nature on living creatures. They offer a versatile platform for microfluidic management. In this …

Despite the great importance of nonhematopoietic cells constituting the microenvironment
for normal hematopoiesis, the cellular interactions between nonhematopoietic cells …

We use a residential sorting model incorporating migration disutility to recover the implicit
value of clean air in China. The model is estimated using China Population Census Data …

Recently, functional brain network has been used for the classification of brain disorders,
such as Autism Spectrum Disorder (ASD) and Alzheimer’s disease (AD). Existing methods …