Month: April 2023

Improving Human Motion Prediction with GCN-Based Two-Stage Model

Predicting human motion is like trying to predict a dancer’s next move on the dance floor. While deep learning has made impressive strides in this field, accurately predicting long-term motion and skeletal deformation remain challenging. To address this, a new study presents a two-stage prediction method that combines graph convolutional networks (GCN) with attention mechanisms. […]

Published on April 6, 2023

Smartphone Use: A Potential Antidote for Depression in Chinese Older Adults

Imagine smartphones as little helpers magically chasing away the dark clouds of depression in elderly individuals. This study looks at the impact of smartphone use on depressive symptoms among older adults in China. While previous research has explored the relationship between internet use and depression, there has been limited understanding of how smartphones specifically affect […]

Published on April 6, 2023

The Roadmap of Cognitive Decline in Alzheimer’s Disease

Imagine you’re driving down a road, and all of a sudden, you hit a pothole, causing your car to jolt. In a similar way, gray matter atrophy and cerebral hypoperfusion are like potholes along the path of Alzheimer’s disease (AD). In this study, researchers investigated these two factors and their relationship to cognitive impairment in […]

Published on April 6, 2023