This study uses a Bayesian framework to characterize latent brain state dynamics associated with memory encoding and performance in children, as measured with functional magnetic resonance imaging.
Some computers are easy to spot. Artificial, human-built computers like those found in smartphones and laptops are abstract ...
Introduction The underlying causes of supply-side and demand-side challenges in immunisation are poorly understood, leading to symptomatic solutions. This study engaged stakeholders to develop ...
After a decade in manufacturing, Sze Yuan Cheong co-founded Devol Robots to close the gap between robotic theory and ...
The field of systems immunology and translational research in infectious diseases has seen significant advancements due to the rapid development of omics technologies and systems biology. These ...
RIT biomedical engineering researcher receives an NSF CAREER Award to assess how blood flow during physical activity may reduce the risk of aneurysm ...
The improvements Mazda has made to the CX-5 are transformative, turning the one-note compact SUV into a real contender with ...
Electric Vehicle Thermal Management System Market Set for Accelerated Growth Amid Rising EV Adoption: Share, Rankings, ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
Master the "Conspicuous Framework" of healthcare organizational insights, and learn how Bandar Alknawy predicts the future of ...