OBJECTIVES The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary Study aims to examine associations between sociocultural and psychosocial factors and cardiovascular disease (CVD) and metabolic syndrome prevalence in Hispanics/Latinos. The conceptual framework is based on the Reserve Capacity and Lifespan Biopsychosocial Models, which emphasize multiple risk an...

Nowadays, enterprises cooperate more extensively with other enterprises during the entire product life cycle. Temporary alliances between various enterprises emerge such as those in Virtual Enterprises. However, many enterprises experience difficulties in the formation and operation of virtual enterprises, especially concerning integration issues. This paper lays down an architectural framework...

For a stable supply of electricity power plants are required to provide ancillary services in addition to energy production. This paper suggests a solution for optimal bidding strategy for hydroelectric units operating in markets where both energy and ancillary services are priced simultaneously. The model is illustrated on a numerical example of a hydro unit operating in such markets of New Yo...

Ancillary services constitute the cornerstone of the power grid. They allow for an efficient system operation, provide resilience to uncertainties and establish safeguards against unprecedented events. Their importance is growing due to the rise of grid decentralisation and integration of intermittent, renewable power sources, which lead to more variability and uncertainty in the system. Today,...

It has long been considered necessary that large-scale energy storage be installed on power grids in developed and developing economies. Storage damps the grid system, reduces its inefficiencies, offsets peaks, reduces fossil fuel loads and creates the opportunity for larger penetration of renewable energy into the grid. However there have been substantial technical, safety, environmental and f...

Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to...