This study aims to construct a robust artificial intelligence (AI) model to predict early recurrence of hepatocellular carcinoma (HCC) following surgical resection, leveraging clinical blood biomarkers, pathological parameters, and MRI-derived featur... read more
Deep neural networks have demonstrated impressive performance across various fields such as computer vision, natural language processing, and autonomous systems. However, their static architectural configurations often result in computational ineffic... read more
Currently, the development of deep learning (DL) technology provides new avenues for educational sentiment analysis. Building on this, this study introduces an Attention Feature Convolutional Neural Network (AFCNN) model for sentiment recognition in ... read more
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Jan 18, 2026
Cerebral autoregulation maintains stable cerebral blood flow despite fluctuations in cerebral perfusion pressure (CPP), through mechanisms that alter vascular diameter and resistance. Two commonly used indices, pressure reactivity index and mean flow... read more
Recent studies have examined the elastocaloric response of graphene kirigami (GK) and shown how it may be tailored through geometric design. This tunability makes GK a promising platform for applications in nanoscale solid-state thermal devices. In t... read more
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