This paper presents a complete method for modeling nonlinear magnetic rings that captures frequency dependence, losses (hysteresis effect), and nonlinear effects including saturation. The approach ...

We construct non-linear machine learning (ML) prediction models for systolic and diastolic blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk scores (PRSs). We ...