Introduction Hypertension programmes have expanded substantially in low-income and middle-income countries, yet treatment and control rates remain insufficient. Programme scale-up may lead to ...

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

BACKGROUND: Novel treatments are needed for the primary and secondary prevention of heart failure in patients with type 2 diabetes, including individuals with and those without a history of heart ...

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 ...

Abstract: This article expands the methods for analyzing satellite reliability by presenting a framework of measures to determine the best statistical distribution to use in data parameterization, and ...

This technical note presents the Reverse Method, a novel indirect approach for estimating the global value-added tax (VAT) compliance gap. The Reverse Method leverages public datasets and a calibrated ...

Abstract: Accurate estimation of targets' number is a crucial prerequisite for observing group target. Traditional methods estimate target number by resolving targets in the range/angle domain, but ...

A simple implementation of the Nadaraya-Watson kernel regression estimator for usage with scikit-learn. Please note that the parameterization is slightly different from this other library. In my ...

The wide field of view of fisheye cameras introduces significant image distortion, making accurate depth estimation more challenging compared to pinhole camera models. This paper proposes a fisheye ...

Michael Lieberman presents a classic Saturday challenge. By Caitlin Lovinger SATURDAY PUZZLE — Michael Lieberman’s first New York Times crossword was a bit over four years ago, and he has become a ...