Traditional cardiovascular risk assessment entails investigator‐defined exposure levels and individual risk markers in multivariable analysis. We sought to determine whether an alternative unbiased ...

Introduction Cluster analysis, a machine learning-based and data-driven technique for identifying groups in data, has demonstrated its potential in a wide range of contexts. However, critical ...

Kyle has a degree in Film, Television, and Cultural Studies and has loved video games for as long as he can remember. He's owned every PlayStation, dabbled with the occasional Xbox, and even owned a ...

Abstract: The performance of grid partitioning methods has a significant impact on the results of distributed state estimation (DSE). Most existing grid partitioning methods struggle to balance node ...

Objective Patients with SLE have a well-known increased risk of major comorbidities, although they are also very heterogeneous in terms of the prevalence of comorbid conditions. The relationships of ...

A new technical paper titled “PPA-Aware Tier Partitioning for 3D IC Placement with ILP Formulation” was published by researchers at Seoul National University and Ulsan National Institute of Science ...

Objectives To identify distinct profiles among elderly patients in primary care so that general practitioners (GPs) can develop more targeted care strategies. Design A cross-sectional analysis of ...

The Northern Adriatic is a dynamic and the most productive part of the Adriatic Sea. The phytoplankton of the Northern Adriatic is, as many studies in this area showed, under heavy influence of ...

Abstract: With the integration of large-scale distributed power sources into honeycomb distribution network (HDN), which causes the challenges of increased uncertainty in output power, we propose a ...