Background Medical specialists are integral to the medical workforce and play a pivotal role in referral systems. However, in ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

Scleroderma is a rare autoimmune disease involving an overproduction of the protein collagen. Linear scleroderma usually begins as a streak of hardened, waxy, discolored skin on the forehead, an arm, ...

This study aimed to investigate eighth-grade students' difficulties and misconceptions and their performance of translation between the different representation modes related to the slope of linear ...

Matrix inversion is an essential operation in various applications, including linear algebra, computer graphics, and data analysis. An inverse matrix is used to calculate the inverse of linear systems ...

A function is a relation such that for each \(x\)-value there is only one corresponding \(y\)-value. In other words, a function cannot contain two different ordered pairs with the same first ...

Abstract: For a class of input-delayed disturbed linear systems, this paper considers the problem of finite-time implicit-Lyapunov-function (ILF)-based control. With ILF as the evaluation of system ...

Abstract: This letter addresses the inverse problem of differential games, where the aim is to compute cost functions which lead to observed Nash equilibrium trajectories. The solution of this problem ...

An American dream at risk: What happens to a small Nebraska town when 3,200 workers lose their jobs Led by returnees, Canada looking to rebound off flops at world juniors I got thin on a weight-loss ...