BACKGROUND: Despite antiplatelet therapy, some patients remain at high ischemic risk because of drug nonresponsiveness or high residual platelet reactivity). We aimed to target an orphan platelet GPCR ...

The Hull-White model is a key tool in pricing interest rate derivatives. It assumes normally distributed short rates with ...

👉 Learn how to find the derivative of the inverse of a function. The derivative of a function, y = f(x), is the measure of the rate of change of the function, y, with respect to the variable x. The ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

ABSTRACT: We consider shape and topological optimization problems for thermoelasticity. A model of thermoelasticity problem is first proposed before presenting the models for which a mathematical ...

Abstract: Back-propagation algorithm is one of the key stages of neural network training. At this stage, the derivation of an activation function is employed to adjust the weights of neurons in the ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...