6 research outputs found
Complex application of certain micronatrients in men with androgen deficiency and pathosprimes
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
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
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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 β as well by activation of complement (C3) and by content of sIgA in blood; ObA and YF β by Ξ³-INF level, and YF β 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 β 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 β it was grade I dysbiosis, and at IL1Ξ² level less than 9.6 pg/ml β 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 βslippingβ 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
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 24β26 by additional transformations based on the MV2 algorithm, ensuring the required cryptographic strengt
Humoral immunity indicators as prediction factors for dysbiosis development risk
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
Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠΏΡΠΎΡΡ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π·Π°Π΄Π°Π½ΠΈΠΉ Π² ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΡΡ
Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ Π·Π°Π΄Π°Π½ΠΈΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΈ ΠΈΠ·ΠΌΠ΅Π½ΡΡΡΠ΅ΠΉΡΡ Π½Π°Π³ΡΡΠ·ΠΊΠΈ Π½Π° Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΡΡ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠΈΡΡΠ΅ΠΌΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠ½ΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
(ΡΠ³Π΅Π½Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΏΠΎ ΡΠΊΡΠΏΠΎΠ½Π΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΌΡ Π·Π°ΠΊΠΎΠ½Ρ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ) ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π·Π°Π΄Π°Π½ΠΈΠΉ, Ρ ΠΎΠ΄ΠΈΠ½Π°ΠΊΠΎΠ²ΡΠΌ ΡΡΠ΅Π΄Π½ΠΈΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ΠΌ, Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ΠΌ ΠΌΠ΅ΠΆΠ΄Ρ ΠΊΠΎΡΠΎΡΠΊΠΈΠΌΠΈ ΠΈ Π΄Π»ΠΈΠ½Π½ΡΠΌΠΈ Π·Π°Π΄Π°Π½ΠΈΡΠΌΠΈ. ΠΡΠΈΠ²Π΅Π΄Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°ΡΡΠ΅ΡΠΎΠ² ΠΌΠ΅ΡΡΠΈΠΊ ΡΠ°Π±ΠΎΡΡ Π²ΡΡΠΈΡΠ»ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠ»Π°ΡΡΠ΅ΡΠ° Π½Π° ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΠΈ ΡΠΈΠ½ΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, ΡΡΠΎ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΠ²ΡΡΠΈΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π²Ρ
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