The paper presents an analysis of results of surgical treatment of patients with chronic lung disease. To predict the probability of postoperative complications, duration of treatment and the final outcome after surgical treatment for lung the authors used artificial neural networks (ANN). Currently in thoracic surgery practically there are no universally accepted prognostic systems, allowing with high degree of confidence to make the right decision in the treatment strategy for various lung diseases. The complexity of forecasting in this situation due to the fact that the most information is a subjective expert evaluation by a physician based on his knowledge and experience in the treatment of patients with lung disease. The results of the research proved that the modeling method based on ANN allows to solve problems of classification, optimization and forecasting and to give higher prediction accuracy in comparison with multivariate statistical analysis methods. The article shows that the use of ANN methods enables more accurately predict the risk of postoperative complications. This accelerates the work of specialists and facilitates to plan hospitals with high surgical activity.

Community-acquired pneumonias in the elderly patients are the significant epidemiological problem for the public health of almost all countries. Especially urgent is the problem of microbiological and epidemiological monitoring for the S.pneumoniae strains as one of the ubiquitary pathogens, causing the community-acquired pneumonias and the other respiratory tract infections of various severities, what is determined by their different epidemiological significance. Multiloci sequesterant is a promising method of molecular-epidemiological monitoring, identifying epidemically dangerous clones such ubiquitaria of the pathogen as S.pneumoniae. The purpose of this research was to carry out the multilocus sequence typing of strains of pneumococcus isolated in the elderly patients with community-acquired pneumonias, bronchitis. Materials and methods were 14 strains of S.pneumoniae, isolated in patients with community-acquired pneumonias (7 of them – multiresistant), 8 strains were isolated from the patients with the chronic pulmonary obstructive diseases and 4 strains – from carriers of activators. Multilocus sequence typing was carried out according to method of M.C. Enright and B. G. Spratt (1998). Results: all strains, isolated in all populations were the related isolates of the species Streptococcus pneumoniae, the most of them (18 of 26) have a unique genotype, determining the presence of one sequence-type for each strain. From 14 strains, isolated from the elderly with community-acquired pneumonia, 6 were related to the profile Taiwan 19F-14. Among strains isolated from the patients with COPD, the prevalence of any genotype wasn’t identified. Conclusion: multilocus sequence typing allows to identify the new genotypes and to predict the appearing of epidemiologically dangerous strains with new proprieties.

This review provides information on the definition of febrile seizures in children, presents modern data on the dependence of the genetic predisposition to IL-Ιβ gene mutations and development of febrile seizures in children. Purpose of the review is analysis of available publications devoted to the study of the role of IL-Ιβ polymorphism in the development of febrile seizures in children. The literature search included available full-text publications in Russian and English databases. It was found that febrile seizures are characteristic for children from 6 months to 3 years. The causes of seizures still serve as a subject of debate. Family history of febrile seizures in the development is most important risk factor. Positive family history can be detected in 25-40% of patients. Components of the immune response may play a role in the pathogenesis of febrile seizures. One factor is a pro-inflammatory cytokine gene polymorphism of interleukin-ΐβ (IL-Ιβ). The analysis of the literature demonstrates the need for a detailed study of the genetic causes of febrile seizures in children, especially in patients with a positive family history.

Researching of physicochemical properties of the special coke of «ShubarkolKomir» JSC One of the priority directions in the Republic of Kazakhstan is the production of low-sulfur coke with sulfur content up to 1 % and needle coke used in the electrode industry, which is fully purchased by import. Needle coke is used to produce high-quality graphite electrodes needed for the steel industry. Electrodes should have high mechanical strength, electrical conductivity, and low sulfur content. The primary raw material for obtaining diesel fuel and needle coke is the primary coal tar produced at ShubarkolKomir JSC. At present, the obtained products are not processed into valuable chemical substances and motor fuels on the territory of the Republic of Kazakhstan. The physicochemical properties of trademarks 0-10, 10-25, 25-40, 0-60, 10-60, 0-25 mm produced at ShubarkolKomir JSC have been investigated: coke properties by particle size classes-elemental composition of organic part and ash residue, coke ash, specific and apparent density of the samples, porosity of coke samples with subdivision into macro-, meso-and micropores. The chemical composition of coke is determined by technical analysis (moisture, ash content, sulfur content, phosphorus content, volatile matter yield) and elemental analysis (carbon, hydrogen, oxygen, nitrogen, etc.) content.

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