BackgroundThe appropriate length of resection for the dilated segment in Hirschsprung’s disease (HSCR) remains a subject of debate, and the correlation betwe…
Nanoscale motility of cells is a fundamental phenomenon, closely associated with biological status and response to environmental solicitations, whose investi…
The underwater environment is more complex than that on land, resulting in severe static and dynamic blurring in underwater images, reducing the recognition …
Electroencephalogram or EEG analysis has undergone a profound transformation with the addition of 5 advanced artificial intelligence and computational method…
The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain opera…
IntroductionThe EmotiBit photoplethysmography (PPG) device allows user-owned data collection for measures of cardiovascular activity (CVA) and electrodermal …
In common graph neural network (GNN), although incorporating social network information effectively utilizes interactions between users, it often overlooks t…
IntroductionHuntington’s disease (HD) is a fatal inherited neurological disorder for which there are no curative treatments available. Patients suffer from p…
Segmentations of retinal optical coherence tomography (OCT) images provide valuable information about each specific retinal layer. However, processing images…
Electroencephalogram (EEG) signal analysis is important for the diagnosis of various neurological conditions. Traditional deep neural networks, such as convo…
IntroductionThe aim of this study was to determine if personality can predict physical fitness, enjoyment of exercise by intensity, and engagement in an exer…
