There are many tools suitable to model systems and to generate software code from system models, but these tools do not support data validation. Available data validation tools are domain specific and require manual definition of data validation rules. Thus, the lack of the tool supporting both system modelling and automated generation of data validation rules from system models is obvious. The...

p2x 7 antagonist activity for a set of 49 molecules of the p2x 7 receptor antagonists, derivatives of purine, was modeled with the aid of chemometric and artificial intelligence techniques. the activity of these compounds was estimated by means of combination of principal component analysis (pca), as a well-known data reduction method, genetic algorithm (ga), as a variable selection technique, ...

background celiac disease (cd) is a disorder associated with body reaction to gluten. after the gluten intake, an immune reaction against the protein occurs and damages villi of small intestine in celiac patients gradually. objectives the osc, a filtering method for minimization of inter- and intra-spectrometer variations that influence on data acquisition, was applied to biofluid nmr data of c...

Literature survey reveals that few analytical methods were reported for the estimation of cinacalcet hydrochloride by LC, UV methods. Hence the present study aims in developing simple, rapid, precise and validated methods for cinacalcet hydrochloride in bulk. The methods are Colorimetric determination of Cinacalcet Hydrochloride by Visible Spectrophotometric method, Validation of Cinacalcet Hyd...

A method was developed and validated for the quantitation of cannabinoids with LC/MS/MS using an Agilent 6430 Triple Quadrupole LC/MS system. Validation showed that the LC/MS/MS method provides reliable results for the quantitation of THC, OH-THC, and carboxy-THC that meet predetermined acceptance criteria [1]. The concentration range of target compounds used in this validation was chosen to fi...

In the paper we consider new estimators of expected values E w(X) of functions of a random variable X. The new estimators are based on Gauss quadrature, a numerical method frequently used to approximate integrals over finite intervals. We apply the new estimators in Partial Cross Validation, a numerical method for finding optimal smoothing parameters in nonparametric curve estimation. We show t...