государственная медицинская академия Министерства здравоохранения и социального развития России"; 2 ГБОУ ВПО "Южно-Уральский государственный университет (национальный исследовательский университет)". Челябинск, Россия [Белов В. В.*-доктор медицинских наук, профессор, заведующий кафедрой внутренних болезней и военно-полевой терапии, Меньщиков А. А.-кандидат медицинских наук, Заслуженный врач Российской Федерации, доцент кафедры туризма и социально-культурного сервиса].

Post-quantum cryptography is becoming an increasingly popular topic for research around the world. The global cryptographic community is on the verge of standardizing new post-quantum algorithms. The world’s largest organizations conduct their own research in this direction. In this article, two hybrid schemes are proposed. They are constructed on generalized methods of increasing resistance of authentication schemes. Hybrid schemes consist of a combination of two independent signature schemes, one of which is the well-known classical asymmetric electronic signature scheme and another one is post-quantum scheme. Thus, this paper suggests the combining Crystals-Dilithium scheme with Rabin scheme and Elgamal scheme respectively. The paper also provides estimates of public key and signature lengths. Conclusions are drawn about the expediency of using generalized methods of combining with such kind of schemes.

Aim. To establish connection between the functions of 30-year survival rate and concentration of cholesterol high density lipoproteins (C-HDL) in men aged 40-59 years with a past history of a myocardial infarction (MI) and relying on the obtained data to determine the optimal level of C-HDL for the specified cohort.Material and methods. The study includes 141 patients who have had MI more than 6 months ago and observed in clinics of Metallurgical district of the city of Chelyabinsk within the third group of dispensary register. Specified MI cases refer to types 1, 2 of the Third universal definition of MI. The initial stage of study of the target group of men who have a past history of MI lasted from 03.06.1974 to 24.11.1975. Observation points were 0 and 30 years. The endpoint was death. Information about the dead established during the annual monitoring of the status of life. During the observation period 130 persons/92,2% died. Evaluation of survival was carried out according to the method of Kaplan-Meier, based on which a Cox regression model was built with the inclusion of successively higher minimum level of C-HDL, so that survival curves were significantly different. 95% confidence intervals were determined. The confidence bands of survival functions were built on the basis of on non-parametric Kolmogorov-Smirnov test.Results. The analysis of the function of 30-year survival in men aged 40-59 with past history of MI, depending on the level of HDL-C showed: the presence of statistically significant relationships between survival and levels of HDL-C. Optimal concentrations of HDL cholesterol for survival were the values of HDL-C ≥2,0 mmol/l. Statistically significant periods of survival differences are shown on survival curves at different levels of HDL-C. The possibility of prediction of survival of each patient to a certain time depending on the level HDL-C is determined. Initial levels of HDL-C determine the beginning, duration, end of periods of statistically significant survival differences on survival curves.Conclusion. The analysis of 30-year monitoring of the life status of cohort of men aged 40-59 with past history of MI showed a statistically significant dependence of survival on the initial level of HDL-C. The initial concentration of HDL-C are optimal for survival of indicated cohorts of men. HDL-C levels of 2,0-2,9 mmol/l can serve as a therapeutic target for men aged 40-59 with a past history of MI. The functions of 30-year survival in the cohort of middle-aged men who underwent MI, allow to determine the probability of survival of patients with this level of HDL-C to certain time.

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Today modern researches suggest that robotic traffic on web resources prevails over user traffic in terms of volume and intensity. Web robots threaten data privacy, copyright, as well as affect performance, security, and affect statistics. There is a need to develop efficient detection and protection methods against web robots. Existing techniques involve the use of syntactic and analytical processing of web server logs to detect web robots. This article proposes to analyze the graph of visits of web robots, taking into account the time, as well as the connectivity of topics of the visited pages. In the article we provide an algorithm for data selection and cleansing, extracting semantic features of pages on a web resource, as well as the proposed detection parameters. We describe in detail the process of forming the ground truth and the principles of existing sessions labelling to the legit and robotic types. It is proposed to use the capabilities of a web server to identify sessions uniquely. The clustering procedure and the selection of a suitable classification model are discussed. For each of the studied models, the selection of hyper parameters and cross-validation of the results are made. The analysis of performance and detection accuracy, as well as comparison with the results of existing approaches is provided. Empirical results of the proposed method on web-resources show that this method leads to better web robot detection accuracy and precision comparing with the existing approaches.