BACKGROUND Aortic valve disease is associated with eccentric or concentric left ventricular (LV) hypertrophy and changes in the LV mass. The relationship between LV mass and function and the effect of LV remodeling after aortic valve replacement (AVR), in patients with aortic valve disease needs evaluation, that is largely unknown in our population. The aim of this study was to evaluate the eff...

Sir Dr. Iona Heath, former President of the Royal College of General Practitioners, asked the medical profession to rise to the “challenge of multimorbidity” 1 . Heath argued for the “necessary paradigm shift from a disease based model of care to one that focuses on care for patients” and to move away from single-disease focused guidelines, which silo patients inappropriately. Multimorb...

Genomic mismatch scanning (GMS) is a high-throughput, high-resolution identity by descent mapping technique that enriches for genomic DNA fragments that are shared between related individuals. In GMS, DNA heteroduplexes are formed from restriction-digested genomic DNA fragments from two relatives. Mismatch-free DNA heteroduplexes, likely representing DNA shared identical by descent between the ...

Genomic mismatch scanning (GMS) is a new method of genetic mapping which attempts to purify and map the regions of identity between two complex genomes in a single test. Identical DNA fragments from two genomic sources are enriched in two steps: (i) after reannealing of the two genomes, heterohybrids are purified by using a combination of a restriction methylase and methylation-sensitive endonu...

Recent advances in I/O bus structures (e.g., PCI), highspeed networks, and fast, cheap disks have significantly expanded the I/O capacity of desktop-class systems. This paper describes a messaging system designed to deliver the potential of these advances for network storage systems including cluster file systems and network memory. We describe gms net, an RPClike kernel-kernel messaging system...

The benefits of Markov-based predictive prefetching have been largely overshadowed by the overhead required to produce high quality predictions. While both theoretical and simulation results for prediction algorithms appear promising, substantial limitations exist in practice. This outcome can be partially attributed to the fact that practical implementations ultimately make compromises in orde...