The term “people's quality of life” has not been given any widespread explanation in the context of society digital transformation. There are six attributes specified to characterize digital component of people's quality of life. Basing on official statistics data, subindices for the corresponding data blocks were computed. A mixed method to estimate the digital component of people's quality of life was used. Also, the Russian index of digital component of people's quality of life was defined for the whole country and for its federal districts. The results of computations allowed to characterize the changes in subindices within blocks and in the integral index covering eight federal districts and in Russia in the whole for the period of 2015–2017. Positive dynamics of the Russian index of digital component of people's quality of life was revealed with some fluctuations for different federal districts.

Firms incur technological innovation costs to create and retain competitive advantages on market. It seems reasonable that innovation process performance depends on amount of costs on it. According to Structure – Conduct – Performance paradigm this dependency means that firms conduct influence on market performance. But this link is much more nuanced because there is a significant influence of features of industries in which firms operate. In Russia technological innovation costs lead to a high results in some industries and in other of them this link is weak like innovation intensity.

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The purpose of this work is to assess the effectiveness of achieving planned investment indicators within the framework of the national program «Digital Economy of the Russian Federation» and the adequacy of investments in the digitalization of the economy to form positive dynamics of Russia's GDP. The hypothesis is tested about the presence of influence, along with the indicators of the functioning of traditional sectors of the economy, of indicators of digital sectors of the economy and indicators of investments in digital transformation in Russia. The methodology for such calculation is based on the theory of elasticity, which can be used to analyze the efficiency of resources (investments) in the case of alleged underfunding of a certain economic entity, that took place in the case of the specified program. This technique involves the construction of a Cobb-Douglas production function. The data of Russian statistical compilations in the regional context for the period from 2015 to 2018 were used as an information base for calculating and constructing a production function. Within the adopted specification of the cross-sectional regression model, the parameters of the production function were determined for each year within the specified period. Also, the predicted values ​​of the indicators of the used information base for 2019 and 2020 were determined using the linear regression method, and, proceeding from them, parameters of the production function were determined. Due to the incompatibility of data on the indicator of internal costs for the development of the digital economy in the program «Digital Economy of the Russian Federation» and the statistical indicator of the cost of information and communication technologies, it was necessary to calculate the ratio between these indicators. The solution to this problem showed that these indicators are in good agreement with each other with a difference of only a few percent. The final result of the study is an assessment of GDP losses while maintaining the dynamics of digitalization costs observed in 2015-2018, suggesting continuation of the trend towards the Digital Economy of the Russian Federation program being underfunded in 2019 and 2020.

The antioxidant status of the body is a very important indicator of health. It depends on the ability of body fluids to suppress free radicals. Therefore, the study of methods for analyzing body fluids to determine the total antioxidant capacity (TAC) and total antioxidant activity (CAOA) of the body are very important for medical practice. The composition of urine reflects changes in the body, diet and the content of polyphenol metabolites. At the same time, urine collection is a non-invasive method of analysis, which simplifies the determination of the antioxidant status of the body. The purpose of this work is to describe a non-invasive method for determining the antioxidant status of the body by the total antioxidant activity of urine using potentiometric coulometry on the example of "LitAR," a nanosized composite implantation material, approved for use in medical practice.