A Flexible Implementation of a Matrix Laurent Series-Based 16-Point Fast Fourier and Hartley Transforms

This paper describes a flexible architecture for implementing a new fast computation of the discrete Fourier and Hartley transforms, which is based on a matrix Laurent series. The device calculates the transforms based on a single bit selection operator. The hardware structure and synthesis are presented, which handled a 16-point fast transform in 65 nsec, with a Xilinx SPARTAN 3E device.Comment: 4 pages, 4 figures. IEEE VI Southern Programmable Logic Conference 201

Should socioeconomic factors be considered as traditional risk factors for cardiovascular disease, as confounders, or as risk modifiers?

A large number of studies show that cardiovascular disease and its traditional risk factors are associated with socioeconomic conditions. However, their etiological role in the development of cardiovascular outcomes is not always well understood. In particular, it is unclear whether socioeconomic factors should be considered as traditional risk factors for CVD, as confounders, or as risk modifiers. In this article, after examining whether socioeconomic conditions meet the criteria for the three definitions, we argue that none of them fully captures the complexity of their contribution in shaping the epidemic of heart disease across and within societies. We argue instead that socioeconomic factors are the “causes of the causes” of heart disease. Implications for research and interventions to reduce heart disease are discussed