Self-Organizing Maps-based ocean currents forecasting system.

An ocean surface currents forecasting system, based on a Self-Organizing Maps (SOM) neural network algorithm, high-frequency (HF) ocean radar measurements and numerical weather prediction (NWP) products, has been developed for a coastal area of the northern Adriatic and compared with operational ROMS-derived surface currents. The two systems differ significantly in architecture and algorithms, being based on either unsupervised learning techniques or ocean physics. To compare performance of the two methods, their forecasting skills were tested on independent datasets. The SOM-based forecasting system has a slightly better forecasting skill, especially during strong wind conditions, with potential for further improvement when data sets of higher quality and longer duration are used for training.

Prevalence and associations of tcpC, a gene encoding a Toll/interleukin-1 receptor domain-containing protein, among Escherichia coli urinary tract infection, skin and soft tissue infection, and commensal isolates.

TcpC, a new Toll/interleukin-1 receptor domain-containing protein of uropathogenic Escherichia coli involved in the suppression of innate immunity, was found in 2008. The aim of the present study was to determine the prevalence of tcpC and its association with virulence factors and phylogenetic groups among strains from a collection of 212 E. coli isolates from urinary tract and skin and soft tissue infections and 90 commensal E. coli strains.