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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Exploring the Context-Specific Talent Management Practices and Their Link to FIRMS’ Absorptive Capacity in Emerging Markets: Brazil vs Russia

P. 419–433.
Latukha M., Selivanovskikh L., Maclennan M. L.

Over the last decade, scholars extensively discuss talent management phenomenon in various country contexts paying much attention to different exogenous and endogenous factors influencing talent management systems and practices and their relationships with other organizational processes. In this chapter we particularly talk about the peculiarities of talent management in Brazil and Russia and explore the potential impact key management practices aimed at attracting, developing and retaining high potentials and high performers have on the development of firms’ absorptive capacity. We argue that for Brazilian and Russian firms “crossverging” context-specific talent management practices play a key role in the acquisition, assimilation, transformation, and exploitation of external and internal valuable knowledge, thus becoming one of the main drivers of organizational performance and competitive advantage.

Language: English
DOI
Text on another site
Keywords: RussiaBrazilabsorptive capacityknowledge acquisitiontalent managementtalent attractiontalent retentionknowledge assimilationknowledge exploitationknowledge transformationtalent development

In book

Progress in International Business Research
Vol. 14: International Business in a VUCA World: The Changing Role of States and Firms. , Emerald Group Publishing Limited, 2020.
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