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Antiradical potential (ARP) is an important measure of food safety. In addition, it directly or indirectly affects the rate of occurrence of a number of human pathologies. Using a photocolorimetric analysis of DPPH (2,2-diphenyl-1-picrylhydrazyl) solutions, we estimated the antiradical potential of food raw materials, food concentrates, biologically active substances, and wild plants. We conducted approximately 1500 analyses of almost 100 food products selected from 11 food groups: vegetables, milk, meat, fish, cereals and bread, drinks (including tea and coffee), etc. With a confidence interval (CI) of 95%, the average values for animal products range from 15.87 to 18.70 ascorbic acid equivalents per gram of dry matter. For plant materials, the range is 474.54–501.50 equivalents when wild herbs are included and 385.02–408.83 equivalents without taking herbs into account. The antiradical potential of the biologically active substances we studied ranged from 706.84 to 847.77 equivalents per gram of dry matter, which makes it possible to use some of the components to repair products with low ARP values, for example, bread and baked goods, confectionery, milk and dairy products, carbonated drinks, and juice. In this study, a low ARP value is associated with a reduction in the shelf life of products and a deterioration in their organoleptic properties; therefore, we propose using ARP as an important reference for describing the quality of food products and raw food materials.

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Analysis of the mean time to data loss of nested disk arrays RAID-01 on basis of a specialized mathematical model P A Rahman -The reliability model of the fault-tolerant computing system with triple-modular redundancy based on the independent nodes P A Abstract. This paper deals with the fault-tolerant data processing systems, which are widely used in modern world of information technologies and have acceptable overhead expenses in hardware implementation. A simplified reliability model for duplex systems and the offered by authors advanced model for data processing systems with primary and backup nodes based on a three-state model of recoverable elements, which takes into consideration different failure rates of passive and active nodes and finite time of node activation, are also given. A calculation formula for the availability factor of the dual-node data processing system with primary and backup nodes and calculation examples are also provided. IntroductionIn modern world a rapid development of information technologies and their implementation in different spheres of human activity is observed. Almost every day a person has to deal with information. He creates, stores, processes and transmits it using computers and mobile devices. Medium and large-scale enterprises use specialized data storage and processing systems. On their basis a set of information systems operate and assist the business processes of an enterprise. Data processing systems are widely used in modern enterprises, especially high-availability clusters for database systems, which provide fault-tolerant data processing and storage. A cluster is a set of computers linked by a high-speed communication network and logically united by special software for distributed data processing. In practice the dual-node high-availability clusters with shared storage are used because of the acceptable reliability / cost ratio. To avoid the database access conflicts at any time only one node is active and it processes user requests, the other one is passive in a standby mode. For such systems, it is important to know their reliability for estimation of risks to the business processes. In this situation, the development of reliability models and the analysis of reliability indexes for fault-tolerant data processing systems is quite an important task.What concerns the reliability models, on the one hand, there are a number of academic books on the reliability theory [1,2], in which the generalized reliability models of technical systems are discussed, but there are no specific examples related to modern data processing systems, including the high-availability clusters. On the other hand, a number of specialized books [3,4], dedicated to reliability of computing systems and networks, discuss data processing systems, but the given reliability models for duplex systems are too simplified and provide overestimated values for reliability indexes.

The article considers backbone elements of the innovative format of distance learning system's conception. The authors offer matrix of innovative format of higher education applicable to the form of correspondence course. Base elements of the model of innovative training of bachelors and masters of distance course are stated, the criteria of efficiency of the offered model is established -an integral criteria of quality, which includes stability, controllability, capacity indexes and indicator of selforganization. The article proves the necessity of realization of the change-over to the innovative forms of the educational process's organization, namely interactive forms of study with visualizing aspect, based on the principal of the students' activity and reorganization of the available experience aimed to form psycho-pedagogical and process conditions of the necessary study material's retention. The authors believe the upgrading of educational process of remote learning system must be carried out by means of working out and introduction a special competence-oriented learning technique into the process of study. In the context of the offered conceptual approach the authors prove the necessity of introduction of innovative and interactive forms of the study process organization by means of using modern, communicative educational techniques as a complex of different ways of the theory introduction and practical lessons' organization being ministrant to activate students and aimed to form their informative-professional competence as well as upgrading the methodology of forming evaluation tools, that let an impartial and complex assessment of competence-oriented results of training.