Deep learning has made significant strides, driving advances in areas like computer vision, natural language processing, and autonomous systems.In this paper, we further investigate the implications of the role of additive shortcut connections, focusing on models such as ResNet, Vision Transformers (ViTs), and MLP-Mixers, given that they are essent
Alzheimer’s disease (AD) is one of the most common neurodegenerative diseases in the world.To reduce the incidence of AD, it’s essential to quantify the AD conversion risk of mild cognitive impaired (MCI) individuals.Here, we propose an AD conversion risk estimation system (CRES), which contains an automated MRI feature extractor, bra
Abstract Flash droughts and their physical processes have received increasing attention in recent years due to concerns about the potential of flash droughts to affect water resources and ecosystems.Yet to date, the response of ecosystems during flash drought events, particularly on a large scale, and the determinants of the ecosystem responses Hai
Non-alcoholic fatty liver disease (NAFLD), characterized by the accumulation of excessive intrahepatic fat, is a leading metabolic disorder also considered as the hepatic manifestation of metabolic syndrome (MS).Though more commonly observed in obese individuals and those with metabolic risk factors, it also develops in a considerable number of non