Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...

This study provides a useful contribution to understanding how wearable augmentation devices interact with human proprioception, using a longitudinal design over a single session. Results demonstrate ...

In one instance, to further enhance output voltage swing and linearity, the authors propose a novel “breakdown-voltage (BV) ...

Background Previous studies have suggested an adverse role of epicardial adipose tissue (EAT) in aortic stenosis (AS), ...

Primary and secondary outcome measures Children’s mental health was assessed using the Mental Health Test; parental anxiety and depression were measured with the Generalised Anx ...

Our findings indicate that a large commercial insurer is increasingly covering acupuncture for its beneficiaries. Unlike Medicare Part B, which limits acupuncture coverage to chronic low back pain, ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

A majority of counties experienced growth in penetration of Medicare value-based approaches: Medicare Shared Savings Program (MSSP) accountable care organizations (ACOs) and Medicare Advantage (MA).

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

Objective This study investigated perinatal depressive symptoms among pregnant and postpartum Filipino women. Design Cross-sectional survey. Setting The Philippines. Participants Participants were ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.