There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.

Abstract: This article analyzes the effects of self-balancing in multiactive bridge converters. Therefore, it proposes a time-domain approach to model the dynamics of multiwinding transformer-based ...

How old were you when you first started earning a buck? Not only was Carmen Dell’Orefice a mere 15 years old when she first graced the cover of Vogue, she was into her 90s when she last appeared as ...

ABSTRACT: We propose a new section-averaged one-dimensional model for blood flows in deformable arteries. The model is derived from the three-dimensional Navier-Stokes equations, written in ...

Abstract: We propose a three-stage stochastic programming model to inform risk-averse investment in power system resilience to winter storms. The first stage pertains to long-term investment in ...