The paper presents developments and technical solutions of the domestic researchers and engineers that have much contributed to a global problem solution: the negative impact of electromagnetic radiation on aircraft and technical devices in space.

A promising approach to increasing the reliability of the electronic component database is substantiated, including the local radiation protection technologies.

The authors present one of the space research areas being developed at the A.V. Luikov Institute of Heat and Mass Transfer of the National Academy of Sciences of Belarus: research into materials for thermal protection of aircraft.

Using the example of a common structural alloy, D16T, a method for studying the protective materials resistance to high-speed particle impacts was developed and implemented. Combining experiments and numerical modeling, as the most promising approach to studying high-speed impacts, allows us to obtain values that can be used to describe the behavior of target materials without labor-intensive and expensive testing.

The Plasma Accelerators Physics Laboratory at the A.V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus has developed unique quasi-stationary high-current plasma accelerators, giving way to fundamentally new possibilities for creating thrust elements for thrust-vectoring propulsion systems for small spacecraft and stratospheric aircraft.

The article describes ways to identify and improve alternative thermal protection options for next-generation reusable space systems.

The paper presents an analysis of the transformation of national business under the influence of Large Language Models (LLMs), which act as an internal catalyst for labor intensification in the service sector of the economy of the Republic of Belarus. Based on a synthesis of system analysis and economic-mathematical modeling, the concept of a production function with constant elasticity of substitution has been adapted to assess the potential for displacing routine operations with intelligent agents. A high determination between the integration of LLM solutions and operational productivity is empirically confirmed. It has been established that in the conditions of the Belarusian market, the implementation of large language models allows minimizing the time for processing client data from several hours to one and a half minutes. Quantitative assessment demonstrates the possibility of substituting labor resources comparable in scale to the activities of hundreds of full-time specialists. Original models for calculating risks from LLM implementation have been formulated, taking into account not only direct benefits but also probabilistic distributions of damage from specific cyber risks. The findings can be used by top management during the transition to AI-oriented management models under conditions of limited access to hardware capacities and strict requirements of the national regulator.

Using the example of a Russian Railways railcar repair plant, the authors showed how, by leveraging the potential of their personnel and basic lean tools, they managed to launch a new work planning and capacity utilisation system, improving labour productivity and work quality.

This article examines national strategies for the development of artificial intelligence. The link between artificial intelligence and innovative and digital development, as well as entrepreneurship, is identified. The concept of «artificial intelligence» and the main directions of national strategies for its development are discussed. It is noted that there is no single established definition. It is stated that the need to consider and analyze various strategies for the development of artificial intelligence is related to the need to ensure both socioeconomic and innovative processes, as well as national security. Particular attention is paid to the principles and objectives of the national strategies under consideration in the post-Soviet countries. The article examines the main provisions of the State Program «Digital Belarus» for 2026–2030. The article substantiates the advisability of intensifying the development and adoption of the National Strategy for the Development of Artificial Intelligence and aligning its provisions with industry programs.

The article examines the development of green industrial and logistics partnerships within the Belt and Road Initiative, using the China-Belarus Industrial Park «Great Stone» as a case study. Special emphasis is placed on the park’s eco-logical concept, which includes strict environmental restrictions and the integration of circular economy principles. The paper analyzes the role of the China-Belarus Industrial Technology Innovation Center as a platform for knowledge transfer, in-novation incubation, and the deepening of bilateral scientific and technological cooperation. Based on a SWOT analysis, the study identifies institutional guarantees, ecological orientation, and technological collaboration as the key factors of the park’s sustainable development. The article highlights the importance of adapting Chinese approaches to Belarusian conditions to enhance the effectiveness of technology transfer and the development of green production and logistics chains.

The article introduces the priority areas, most significant results and prospects of scientific and technical activities of the Institute of Microbiology of the National Academy of Sciences of Belarus, in particular the branch laboratory of molecular bio- and nanotechnologies.

The paper presents data on the prospects for cooperation among stakeholders to promote innovation, and justifies the feasibility of implementing such cooperation in the pharmaceutical and biotechnology sectors in one of Belarus’s regions – the Vitebsk Region.

Science is not a series of epiphanies, but an endless process of testing reality and oneself for strength, as states the heroine of the journal's new column dedicated to the Year of the Belarusian Woman.

In life, there will always be people who will question your ideas, as is sure the author of the article. But it is important to believe in yourself, your strengths  and continue to follow your own path, despite difficulties and obstacles.

Structure-based virtual screening of the library of bioactive compounds was used to identify novel small-molecule compounds that can inhibit the catalytic activity of Mycobacterium tuberculosis (Mtb) enoyl acyl carrier protein reductase (InhA), one of the key enzymes involved in the biosynthesis of mycolic acids of the Mtb cell wall. To do this, we employed an integrated computational approach to drug repurposing which included high-throughput docking of the InhA enzyme with small-molecule compounds from the library of bioactive molecules containing the FDA-approved drugs and investigational drug candidates, molecular dynamics simulations of the ligand/InhA-NAD+ complexes, binding free energy calculations, post-modeling analysis followed by selection of the most promising drug candidates and experimental determination of their minimum inhibitory concentration MIC90. As a result, a lead compound which showed the MIC90 value of 62.5 µM against the vaccine strain Mycobacterium bovis and Mtb was found, giving hope that this compound forms a promising scaffold for the development of novel antitubercular molecules of clinical significance with activity against an important target of Mtb.