The growing demand for high-efficiency power converters with silicon carbide (SiC) devices at high switching frequencies has fueled an interest in non-auxiliary circuit-based soft switching techniques ...

Another important consideration is the care of preserved biological samples. Tissues, organs, cadavers and other biological ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Traditional verification involves a high degree of manual intervention, especially if the design is constantly evolving. This ...

Centaur, an AI model trained on 10 million decisions, learns to simulate human thinking, even in unfamiliar situations.

Explore innovative clinical trial design with digital twins, enhancing predictions while reducing costs and efforts in ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Neuroprognostication is one of the most controversial and sensitive examinations in the field of neurology.

Introduction Major depressive disorder (MDD) is a major global healthcare challenge. This is, in part, due to the lack of treatment response and chronic course of MDD. Such a course of illness is ...

This study presents a novel approach to dynamic event-triggered model predictive control (MPC) for nonlinear discrete-time cyber-physical systems (CPSs) subject to simultaneous hybrid denial of ...

The Integrated Environmental Control Model (IECM): a tool for calculating the performance, emissions and cost of a fossil-fueled power plant ...