Method of immersion of a problem of comparison financial conditions of the enterprises in an expert cover in a class algorithms of artificial intelligence

The financial condition of the enterprise can be estimated by a set of characteristics (solvency and liquidity, structure of the capital, profitability, etc.). The part of financial coefficients is low-informative, and other part contains the interconnected sizes. Therefore for elimination of ambiguity we will pass to the generalized indicators – rating numbers, and as the main means of research it is offered to use the theory of expert systems. As characteristic of the modern theory of expert systems it is necessary to consider application of intellectual ways of data processing of data mining, or simply data mining. The method of immersion of a problem of comparison of a financial condition of economic objects in an expert cover in a class of systems of artificial intelligence is offered (algorithms of a method of the analysis of hierarchies, contiguity leaning of a neural network, algorithm of training with function of activation softmax). The generalized indicator of structure of the capital in the form of rating number is entered and the sign (factorial) space for seven concrete enterprises is created. Quantitative signs (financial coefficients of structure of the capital) are allocated and their normalization by rules of the theory of expert systems is carried out. To the received set of the generalized indicators the method of the analysis of hierarchies is applied: on the basis of a linguistic scale of T. Saaty the ranks of signs reflecting the relative importance of various financial coefficients are defined and the matrix of pair comparisons is constructed. The vector of priority signs on the basis of the solution of the equation for own numbers and own vectors of the mentioned matrix is calculated. As a result the visualization of the received results which has allowed to eliminate difficulties of interpretation of small and negative values of the generalized indicator is carried out. The neural network with contiguity leaning and function of activation softmax is applied to further smoothing of dispersion of indicators. Application of this method allows to facilitate considerably problems of interpretation of results of comparison of a financial condition of various enterprises

REGULATION OF IMMUNE HOMEOSTASIS OF THE HUMAN INTESTINE BY METABOLITES OF BIFIDOBACTERIA UNDER CONDITIONS OF MICROBIAL RECOGNITION

Aim. To study the production of cytokins on the model of peripheral blood lymphocytes under the activity of Bifidobacterium bifidum 791 strain induced by Lactobacillus fermentum 90T-C4, Escherichia coli 157 and Staphylococcus aureus 209 metabolites. Materials and methods. Reference strains of «self» and «поп-self» types of bacteria were used in the investigation. «Self/non-self» microbial recognition method (Bukharin O.V., Perunova N.B., 2011). Mononuclear leukocytes were isolated from the blood of healthy donors by gradient centrifugation in ficoll-verographin density gradient (Pharmacia, Sweden). Production of pro-(IFN-y, TNF-a, IL-6, IL-17) and anti-inflammatory (IL-10) cytokins was investigated in mononuclear culture by ELISA method. The results are statistically processed. Results. Similarities in the direction of lymphocyte reaction and «self» and «поп-self» microbial differentiation of bifidobacteria were found. It was determined that in reaction to «поп-self» reference cultures the lymphocytes increased pro-inflammatory potential and increased anti-inflammatory potential in reaction to «self» bacteria. Preliminary co-incubation of bifidobacteria with L.fermentum metabolites 90T-C4 increased anti-inflammatory effect of B. bifldum 791, whereas lymphocyte reaction to E. coli and staphylococcus induced bifidobacteria was changed to pro-inflammatory. Conclusion. Combined unidirectional influence of microbiota and its metabolic activity on cytokine level might enhance defence effect of intestinal immune response. The capacity of bifidoflora to carry out primary selection of microsymbionts on account of intermicrobial «recognition» and differentiated exposure to lymphocyte pro- and anti-inflammatory potential evidences the key role of bifidoflora in the human intestine homeostasis maintenance

INTERMICROBIAL «SELF-NON-SELF» DISCRIMINATION IN «DOMINANT-ASSO-CIANT» PAIR OF PROBIOTIC STRAINS OF ESCHERICHIA COLI M-17 AND E.COLI LEGM-18

Aim. To use earlier developed method of intermicrobial «self-non-self» discrimination in «dominant-associant» pair for the assessment of foreignness of probiotic cultures of Escherichia coli M-17 (with pathogenicity island) and E. coli LEGM-18 (without pathogenicity island). Materials and methods. As dominants reference and clinical strains of bifidobacteria were used in the work, cultures of E. coli M-17 and E. coli LEGM-18 were taken as associants, differing in the presence of genes which code colibactin. Detection of the phenomenon of microbial discrimination was conducted according to the developed algorithm (Bukharin O.V., Perunova N.B., 2011) based on the principle of metabolite induction as a result of preliminary coincubation of dominants (bifidobacteria) with supernatant of associants and the formation of feed back in «dominant-as-sociant» pair. Special growth properties, biofilm formation, and antilysozyme activity served as biological characteristics of investigated coliform bacteria. Results. Testing of E. coli M -17 culture revealed depression of biological properties under investigation and it was estimated as «non-self» possibly due to the presence of pathogenicity island whereas E. coli LEGM-18 (without this fragment) sharply strengthened its biological characteristics and was subjected to assessment as «self». Conclusion. Use of intermicrobial «self-non-self» discrimination in «dominant-associant» pair is promising as basic method when selecting probiotic strains and cultures for creation of new symbiotic compositions and is suitable for quality control of probiotic products