Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...

Abstract: Automated classification of learner-generated text to identify behavior, emotion, and cognition indicators, collectively known as learning engagement classification (LEC), has received ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Abstract: In medical imaging, timely and accurate diagnosis of bone fractures is essential. This work offers a thorough approach to binary classification using VGG16 and ResNet architectures in ...