Learn More
In recent years, big data analysis has been widely applied to many research fields including biology, physics, transportation, and material science. Even though the demands for big data migration and big data analysis are dramatically increasing in campus IT infrastructures, there are several technical challenges that need to be addressed. First of all,(More)
Human growth hormone (HGH) has been measured in the plasma of 30 subjects at term of pregnancy, at 96 and at 144 h after delivery. The subjects were then selected into three groups: 10 were studied in basal conditions, 10 were given pyridoxine, 10 were given enantate testosterone and valerianate estradiol. In the first group the correlation index (t of(More)
The present study examines a sample of 98 patients aged 18-77 (mean age 57) and awaiting obstetric or gynaecological surgery who were given short-term prophylaxis with mezlocillin. The overall success rate was 83.67%, partial success 14.28% (against 81% in the controls). In addition to the benefits of a shorter hospital stay and lower operating costs, the(More)
Recent advances in deep learning have enabled researchers across many disciplines to uncover new insights about large datasets. Deep neural networks have shown applicability to image, time-series, textual, and other data, all of which are available in a plethora of research fields. However, their computational complexity and large memory overhead requires(More)
We present the latest development and experimental simulation studies of Statistical Temperature Molecular Dynamics (STMD) and its parallel tempering version, Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD). Our main contributions are i) introduction of newly implemented STMD in LAMMPS, ii) use of large scale distributed cyber(More)
Genome sequencing technology has witnessed tremendous progress in terms of throughput as well as cost per base pair, resulting in an explosion in the size of data. Consequently, typical sequence assembly tools demand a lot of processing power and memory and are unable to assemble big datasets unless run on hundreds of nodes. In this paper, we present a(More)
ESR spectroscopy is one of the physicochemical techniques used to characterize archaeological white marbles and obtain information about their quarries of provenance. This is done by measuring selected spectral features of the Mn(2+) impurity ubiquitously present in marbles and developing a statistical classification rule from the variable vectors measured(More)