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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
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Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Вовлечённость работников: систематизация подходов к определению и измерению

Организационная психология. 2022. Т. 12. № 3. С. 110–137.
Kabalina V., Макарова А. В.

The popularity of the concept of employee engagement in the scientific community has grown significantly over the past few decades, many large companies have implemented it in practice, conducting regular engagement surveys. However, there is still no common understanding of the essence of this phenomenon, what it consists of, what factors influence its formation and how to measure it. Purpose. The purpose of the article is to systematize the approaches to defining and measuring employee engagement, proposed in scientific and professional publications, as well as to discuss methodological challenges and prospects in connection with the transformation of the context of work. Method. The first part of the article examines the most famous scientific approaches to the definition of engagement at work and related constructs, factors, and models of involvement, including applied ones, used by consulting companies. The second part focuses on the measurement of engagement. The third part discusses the new challenges facing employee engagement researchers and practitioners in the face of changing working conditions, most notably the widespread use of digital technology and remote working accelerated by COVID-19 pandemic. The article is based on a review of scientific and professional literature and contains several elements of novelty. Findings. For the first time, a detailed analysis of the main theoretical approaches to interpreting and measuring the “employee engagement” construct presented in foreign and domestic literature was carried out; the characteristics of the employee engagement models of consulting companies, which are used by practitioners in the field of organizational psychology, and human resource management, are given; the challenges in the field of conceptualization and methodology for measuring the employee engagement in the new conditions of doing business and organizing work were described. Value of results. The scientific significance of the article lies in the systematization of various areas of theoretical and empirical studies in foreign and domestic literature on employee engagement. HR managers can get from the article valuable information about the specific approaches of consulting companies involved in conducting employee engagement surveys, which can be used to interpret their results, and to design their own engagement surveys taking into account the company’s characteristics.

Research target: Economics and Management Psychology
Language: Russian
Full text
DOI
Keywords: work engagementemployee engagementengagement modelsorganizational engagementвовлечённость работников вовлечённость в работу вовлечённость в организациюмодели вовлечённости
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