BACKGROUND Osteopontin (OPN) regulates the Ca(++)-deposition in bone and coronary arteries. Elevated OPN were also associated with (aortic) valve calcification in healthy individuals. This study aimed to investigate the association between OPN levels and mitral annulus calcification (MAC) in patients with coronary artery disease (CAD). METHODS In this cross-sectional study OPN-levels were mea...

the ways of placing decision making units (dmus) in certain clusters are found as a subject in statistics, these ways usually are heuristic. the proposed clustering approach in this article considers preferences of dmus. this study applies data envelopment analysis (dea) dmus are clustered by solving multi-objective linear problem (molp) and by considering preferences of each dmu at production ...

Modal parameter extraction of high speed shafts is of critical importance in mechanical design of turbo-pumps. Due to the complex geometry and peripheral components of turbo-pumps, difficulties can arise in determination of modal parameters. In this study, modal properties of a turbo-pump shaft, was studied by experimental modal analysis, and using different excitation techniques. An innovative...

We describe results from a beam test of a telescope consisting of three planes of single-crystal, diamond pixel detectors. This telescope is a prototype for a small-angle luminosity monitor, the Pixel Luminosity Telescope (PLT), for CMS. We recorded the pixel addresses and pulse heights of all pixels over threshold as well as the fast-or signals from all three telescope planes. We present resul...

Interlingua-based machine translation is probably the most attractive among the three classic approaches to MT. Early pioneers as well as current researchers experimented with this approach and produced some very stimulating methodologies to reaching such a language-independent framework. In this paper, we shall briefly review some of the most renowned endeavours in interlinguabased machine tra...

Tool condition monitoring is a key component of predictive maintenance in smart manufacturing. Predicting excessive tool wear machining processes becomes increasingly difficult if different materials need to be processed. We propose novel computer vision-based system for saw blade that independent the processed and combines deep learning with classic vision. Our approach allows accurate which c...