A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were informally ...
ABSTRACT: Graduate attributes are essential skills, knowledge and values that prepare university students for professional success and responsible citizenship in a globalised world. This study uses ...
Accurate prediction of broadband ground motion parameters is crucial for earthquake disaster prevention and mitigation. However, physics-based ground motion simulations are limited by the lack of high ...
This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...
Abstract: Indonesia, strategically positioned along the Pacific Ring of Fire, is exceptionally susceptible to seismic activities. Accurate estimation of ground motion parameters is crucial for ...
In the first phase, stroke activations with baseline NCCT and CT angiography were used to train an aICV‐NCCT. The algorithm was then internally validated using intraclass correlations and Intersection ...
Abstract: A practical estimation method of equivalent circuit parameters for rechargeable batteries that follows adaptive Artificial Neural Network (ANN) logic is proposed in this paper. The ...