Articles

The article discusses the history of establishment of the State-owned Assets Supervision and Administration Committee (SASAC), as well as its structure and its formal and real competences. Despite the extent of the powers this authority was granted when established, its actions are restricted through the interests of other actors in the institutional structure. The author studies in detail competences of SASAC regarding the practices of appointment of topmanagers of SOEs, control rights in state enterprise assets and control rights in management of SOEs.

The article is devoted to the peculiarities of formation of investment strategies of regional industrial complexes taking into account the impact on production processes. The analysis of the factors influencing the dynamics of investment activity in the Federal districts of the country and regions is carried out. Special attention is paid to the measures of state support reflected in the policy documents aimed at the development of territories, increasing their socio-economic attractiveness, competitiveness and economic independence. The purpose of the article is to identify the main conditions and factors of formation of investment strategies of regional production complexes, to study the potential and prospects for the development of industry under the condition of active regional and Federal support. To achieve these objectives, we studied the growth rates of investment in fixed capital of industrial enterprises, the goals of industrial and investment development in the framework of the target program indicators, presented the distribution of investment per capita by region, as well as a comparative analysis of the actual and planned indicators of investment activity on the example of the far Eastern, southern and Volga Federal districts.

Main methods: dialectical method of cognition of processes in the sphere of economy and social development, method of system analysis, formal logical method. As a result of the study, proposals for improving the state and regional investment policy in the process of formation of investment strategies of regional production complexes are formulated. Conclusions are made about the validity of the measures taken and the preferred tools of support in the process of economic growth of the country.

This article presents the study results of the energy service market in the Republic of Tatarstan, generalized the business model for improving this market. The model revealed the scheme of regulation and management of the market, revealed the interest of business and the benefits of this activity, both for the customer and energy service companies, as well as third parties and the rapid growth of researches in this area. This model performs a number of functions, a management structure that enhances market regulation was developed, as well as its impact; the result of implementation was calculated; internal and external factors that affect the energy service market were highlited. The volume of the energy service market was calculated; the effect of the implementation of our recommendations was calculated.

Network-centric public governance offers clear advantages, yet its effective adoption requires overcoming a set of constraints and charting practical implementation pathways. Drawing on a comparative analysis of centralized and decentralized governance systems, the article details the benefits of a network-centric approach, including enhanced data generation, storage, distribution and exchange; greater system resilience; improved discovery and use of data; and stronger assurance of data veracity and trust in data sources. It explicates core principles of network-centric governance—decentralization, openness, interactivity, flexibility, technological integration, collaboration, and security—and identifies key implementation challenges such as cyber threats, the digital divide, technological dependency, diffusion (decentralization) of authority, technological risks, and legal risks. The study also outlines the ontological foundations of network-centric public governance, provides a comparative assessment of hierarchical, network, and network-centric governance models, and substantiates the conceptual specificities of network-centric state management. The conclusion argues for the development of hybrid managerial systems that integrate hierarchical and network-centric logics of coordination. Implementing a network-centric approach opens promising avenues for optimizing public governance.

The article discusses a new approach in healthcare related to the identification of digital determinants of health, which has recently become widespread in the analysis of healthcare problems. Consideration of the main conceptual provisions showed that, despite their importance for understanding health problems, further research of digital determinants of health is required, in particular, it is necessary to determine their relationship with other determinants of health, first of all social and economic.

Based on Rosstat data, a general description of the state of selected digital determinants in Russia is given, in particular, Internet accessibility, the main areas of its use in terms of health protection, the state of digitalization of medical services are considered. It is concluded that despite the fact that digitalization is an important priority for the development of modern healthcare in Russia, further research is needed on its impact not just on individual parameters of health care system, but also on the impact on the final result — improving population health. Th e approach of digital determinants of health seems to provide a solid theoretical and practical basis for solving this problem.

Artificial Intelligence (AI) is transforming the pharmaceutical lifecycle —from discovery to manufacturing and safety oversight. In discovery, AI accelerates target identification, molecular design, and repurposing (e.g., baricitinib; rentosertib), while the DSP-1181 experience highlights the risk of structural conservatism. In clinical development, AI supports patient stratification, digital-twin-informed design, and automated analysis, improving statistical power and operational speed. In manufacturing, predictive analytics, computer vision, and knowledge-graph-assisted documentation enhance quality and throughput. Pharmacovigilance benefits from natural language processing (NLP) — enabled signal detection and workflow automation. Emerging uses in antibody engineering and personalized therapy broaden its scope, but real-world benefit hinges on data quality, rigorous validation, transparency, and regulatory alignment (including real-world evidence).

The widespread introduction of artificial intelligence(AI) capabilities into the healthcare system creates new requirements and conditions for the training of medical personnel. Th e article is devoted to the study of modern challenges, aspects of methodology and the prospect of training specialists for successful work with AI technologies. Th is study contains an analysis of the most relevant areas for the application of AI systems, an analysis of the requirements for the competencies of specialists, innovations in the educational process and ethical aspects. Special attention is paid to building trust in new technologies, overcoming long-standing organizational barriers and creating modern training programs. Th e results of the study show the importance of a systematic approach to personnel training, taking into account technical education, critical thinking and ethical and psychological training.