We apply support vector learning to attributed graphs where the kernel matrices are based on approximations of the Schur-Hadamard inner product. The evaluation of the Schur-Hadamard inner product for a pair of graphs requires the determination of an optimal match between their nodes and edges. It is therefore efficiently approximated by means of recurrent neural networks. The optimal mapping in...

The quarks and particles’ mass and mass/spin relations are provided with coordinates in configuration space and/or momentum space by means of the marriage of ordinary Poincaré group representations with a nonassociative algebra made through a demisemidirect product, in the notation of Leibniz algebras. Thus, we circumvent the restriction that the Poincaré group cannot be extended to a larger gr...

The paper describes an analytical procedure to assay the quality of commercial amino acid/peptide-based metal chelates used in animal feeds. In order to characterize the hydrolyzed protein mixture alone or in the commercial product, a semi-quantitative approach based on size exclusion chromatography, amino acid and peptide HPLC analysis and acid base titrations were used. The interference cause...