The aim of this study was to assess neopterin, a marker of interferon gamma (IFN-gamma) induced macrophage activity, as a possible surrogate marker of inflammation in patients with multiple sclerosis. Urinary neopterin to creatinine ratios (UNCRs) were measured daily in 10 primary progressive (PP). 10 relapsing remitting (RR) and 11 secondary progressive (SP) patients with multiple sclerosis, a...

In the framework of statistical physics, we studied the 'en-semble learning' and the 'mixture of experts', which are the typical re-alizations of the mutiple neural network approach. Generalization capabilities of the two methods are analyzed. We discuss the pro and con of the two approaches, and the possibility of uniied method combining the merit of two approaches.

The performance of Micro Finance Institutions (MFIs) has been affected negatively by the current hypercompetitive economic environment which beencharacterised as unfair competition. Huge losses have reported among MFIs in Kenya, this forced to innovate differently; product, financial, organisational or market innovation. This not yielded better results. study sought establish moderating effect ...

Product quality for plastic injection molding process is highly related with the settings for its process parameters. Additionally, the product quality is not simply based on a single quality index, but multiple interrelated quality indices. To find the settings for the process parameters such that the multiple quality indices can be simultaneously optimized is becoming a research issue and ...

Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy clustering ...