More than 6 million Americans have dementia, which affects memory, language and problem-solving skills. Several lifestyle ...

Abstract: This paper presents a prediction-correction proximal method (PCPM) for the general non-smooth convex optimization problem with linear equality ... we use a proximal quadratic-form term to ...

This work proposes integrating exoskeletons with a wheeled base to enhance mobility, alongside developing an optimal control strategy using a Linear Quadratic Regulator ... strategy based on ...

This function can compute a linear weights or a quadratic weights. Syntax: kappa(X,W,ALPHA) Inputs: X - square data matrix W - Weight (0 = unweighted; 1 = linear weighted; 2 = quadratic weighted; -1 = ...

Effective mucosal immunity in the intestine involves a fine balance between tolerance of the microbiome, recognition and elimination of pathogens, and inflammatory tissue injury. The anti-inflammatory ...

LLMs built on Transformer architectures face significant scaling challenges due to their quadratic complexity in sequence length when processing long-context inputs. Methods like Linear Attention ...

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...

This algorithm has quadratic run time so it can be slow with large profiles. The "tangent" method generally produces good results when connecting a discrete polygon to a convex, finely sampled curve.