We propose a new feature selection strategy based on rough sets and particle swarm optimization
(PSO). Rough sets have been used as a feature selection method with much success, …

In this paper, we present a new and effective color image retrieval scheme for combining all
the three ie color, texture and shape information, which achieved higher retrieval efficiency. …

… Xiangyang Wang (Department of International Business Management at School of
Management, Jilin University, Changchun, China) … Xiangyang Wang is an Associate …

Background Low back pain (LBP) is a common musculoskeletal problem globally. Updating
the prevalence and burden of LBP is important for researchers and policy makers. This …

Intervertebral disc degeneration (IDD) is a complicated process that involves both cellular
apoptosis and senescence. Metformin has been reported to stimulate autophagy, whereas …

Convolutional neural network (CNN) pruning has become one of the most successful network
compression approaches in recent years. Existing works on network pruning usually focus …

The extraction of proteins from tea leave pulps, using alkaline and enzyme methods, were
investigated in this work. Altogether four enzymes (neutrase, alcalase, protamex and …

This paper proposes a multi-objective optimization method for a micromixer with Cantor fractal
baffles through grey relational analysis, and evaluates the comprehensive performance of …

Spinal cord injury (SCI) results in a wide range of disabilities. Its complex pathophysiological
process limits the effectiveness of many clinical treatments. Betulinic acid (BA) has been …

Damaged deoxyribonucleic acid (DNA) is a primary pathologic factor for osteoarthritis (OA);
however, the mechanism by which DNA damage drives OA is unclear. Previous research …