6 research outputs found

    Complex application of certain micronatrients in men with androgen deficiency and pathosprimes

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    A complex approach was made for the deactivation of deuterine micronutrients, which include antioxidant and metabolic metabolism, in individuals with androgen deficiency and idiopathic pathospermia. It has been shown that is using the complex preparation Β«FEROLLΒ» for 60 days leads to increase the parameters of the spermogram to normal values on the background of normal androgen levels of blood in these patients

    The relationship between the immune system activity and the bacterial vaginosis development

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    The main cause of bacterial vaginosis (BV) is immunodeficiency which is both systemic and local in nature and increases in parallel to a dysbiosis grade deepening. It is of great importance to link the indicators of BV-associated microbiota with individual indicators of systemic immune responses. The aim of the study is to establish a relationship between the immune system state and the development of various grades bacterial dysbiosis and BV. The study selected 298 women, who were divided into groups according to the index of conditionally pathogenic microflora (ICPM): in normocenosis ICPM was lower than -3 lg GE/sample (n = 53); in grade I dysbiosis it was from -3 to -1 lg GE/sample (n = 128); and in grade II dysbiosis (BV) it was more than -1 lg GE/sample (n = 117). Molecular-genetic studies of the scraping of epithelium from the posterolateral vaginal paries were performed using the method of polymerase chain reaction (DNA technology, RF). Optional and obligate anaerobes, myco- and ureplasms and yeast fungi were quantified. Content in the blood of fractions of T-and B-lymphocytes, immunoglobulins, cytokines, complement, lymphocyte phagocytic activity (LPA), 21 indicators in total) were determined using standard 273 immunological methods. Interrelation between the microbial biocenosis with the considered indicators was studied using the regression analysis (Statistica 10; StatSoft, Inc., USA). In normocenosis, normobiota indicator (NBI) was determined by activation of complement (C4), PA – as well by activation of complement (C3) and by content of sIgA in blood; ObA and YF – by Ξ³-INF level, and YF – also by IL8, IL10 and sIgA levels; ICPM effective value was determined by the number of CD22+ lymphocytes. In grade I dysbiosis, NBI depended on the number of CD22+ lymphocytes, IL6, IgM, IgG, LPI, CIC, IL10, which indicated the implementation of various mechanisms and involvement of almost all of the immune system levers to compensate for dysbiosis at the beginning of its formation. In grade I dysbiosis, ObA amount was also affected by IL6 and IL10, and MU amount – by IL1Ξ² and IgG. In grade II dysbiosis, no factors affected NBI, which indicated that the dysbiotic processes went beyond the control of the immune system. Content of IL1Ξ² in blood reflected a shift of the ICPM: when its level exceeded 24.6 pg/ml, grade II dysbiosis was present; at IL1Ξ² level from 9.6 pg/ml to 24.6 pg/ml – it was grade I dysbiosis, and at IL1Ξ² level less than 9.6 pg/ml – it was normocenosis. Factors, which anaerobic dysbiosis was the trigger for, were activation of the humoral immunity (IgG secretion) and IL10 increase. General analysis of the interrelation between the immune system indicators with the number of pathogenic microbiota revealed the development of systemic combined immunodeficiency and β€œslipping” of the most pathogenic microorganisms out of the control of the immune system

    The Development of the Method of Multifactor Authentication Based on Hybrid CryptoΒ­code Constructions on Defective Codes

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    The proposed security mechanisms in hybrid-crypto-code systems, based on Niederreiter and McEliece modified asymmetric crypto-code systems on flawed codes allow further use of the methods of strict two-factor authentication on OTP passwords (OTP based 2FA). To ensure the required security and efficiency in the multi-factor authentication protocol, the McEliece and Niederreiter modified asymmetric crypto-code systems, allowing integrated reliability provision in information transmission on the basis of error-correction coding on elliptic codes are used. The use of the MV2 algorithm ensures an increase in the total entropy of the key and the physical separation of the transmission of the authenticator parts by various mobile/Internet communication channels based on multi-channel cryptography systems on flawed codes. The proposed mathematical models and algorithms for the practical implementation of the Niederreiter and McEliece HCCSFC make it possible to significantly reduce the energy capacity of group operations by reducing the power of the Galois field to GF 24–26 by additional transformations based on the MV2 algorithm, ensuring the required cryptographic strengt

    Humoral immunity indicators as prediction factors for dysbiosis development risk

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    Diseases associated with bacterial vaginosis lead to chronic inflammatory processes of the internal genitals, the development of adhesions of the pelvic organs, infertility, spontaneous abortion at different times, as well as the development of malignant neoplasms. Vaginal microflora is an indicator of a woman's health which can form changing in hormonal and immunological status during various pathological conditions. The aim of the study was to create a system for prediction of the dysbiosis development according to the levels of nonspecific humoral factor of immune defence. The study was performed in 298 women aged 16 to 64 years, 53 of whom were diagnosed with normocenosis, and 245 have dysbiosis. Women were divided into 3 groups according to age. Regression analysis was used. Our previous researches have shown a correlation between increased levels of antiinflammatory cytokines in the blood and vaginal secretions with the stage of dysbiosis. A logistic regression model was constructed during the study, which showed that the risk of developing dysbiosis in terms of normobiota increases with increasing levels of interleukin 2 in the blood, tumor necrosis factor Ξ±. Significant features of the three-factor model for predicting the risk of developing dysbiosis (IL2, IL4 and TNFΞ±) were selected by the method of genetic algorithm. The levels of these indicators in the blood were related to the severity of dysbiosis according to the results of discriminant analysis. Thus, a linear neural network model was developed for determination of dysbiosis severity according to the levels of nonspecific humoral factors of immune defence such as the C4 component of the complement system and Ξ³-interferon in vaginal secretions, as well as the amount of circulating immune complexes and tumor necrosis factor Ξ± in the blood. Kappa Cohen's agreement for this model on the training set was 0.87 (95% CI 0.82-0.91), and on the confirmatory set was 0.89 (95% CI 0.77-1.00). These indicators show the adequacy of the constructed model. The interface of the expert system for the dysbiosis severity prediction has been created

    Coordinate Strategies Job Scheduling Based On Generalized Statistical Analysis of Their Characteristics in the Distributed Computing Systems

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны вопросы Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΈ ΠΎΡ†Π΅Π½ΠΊΠΈ стратСгий планирования Π·Π°Π΄Π°Π½ΠΈΠΉ Π² распрСдСлСнных Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… систСмах Π½Π° основС ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½Π½ΠΎΠ³ΠΎ статистичСского Π°Π½Π°Π»ΠΈΠ·Π° характСристик Π·Π°Π΄Π°Π½ΠΈΠΉ. Показано, Ρ‡Ρ‚ΠΎ Π² условиях динамичСски ΠΈΠ·ΠΌΠ΅Π½ΡΡŽΡ‰Π΅ΠΉΡΡ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ Π½Π° Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ систСму прСдставляСтся эффСктивным для ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ систСмы использованиС синтСтичСских (сгСнСрированных для ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ‹Ρ… расчСтов ΠΏΠΎ ΡΠΊΡΠΏΠΎΠ½Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΌΡƒ Π·Π°ΠΊΠΎΠ½Ρƒ распрСдСлСния) интСнсивности ΠΈ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π·Π°Π΄Π°Π½ΠΈΠΉ, с ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²Ρ‹ΠΌ срСдним Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ΠΌ, Π½ΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌ ΡΠΎΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΡ€ΠΎΡ‚ΠΊΠΈΠΌΠΈ ΠΈ Π΄Π»ΠΈΠ½Π½Ρ‹ΠΌΠΈ заданиями. ΠŸΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ расчСтов ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π²Ρ‹Ρ‡ΠΈΡΠ»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ кластСра Π½Π° Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ синтСтичСских Π΄Π°Π½Π½Ρ‹Ρ…, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ стратСгий планирования ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΠ²Ρ‹ΡΠΈΡ‚ΡŒ Π½Π° основС Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ распрСдСлСнии Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π²Ρ…ΠΎΠ΄Π½Ρ‹Ρ… Π·Π°Π΄Π°Π½ΠΈΠΉ
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