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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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Investigation of a Brand: The Identity in Web-based Communication and Perceptions of Akhmadullina Dreams

Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2024. Vol. 22. No. 3. P. 152–164.
Pozhidaeva E. V., Karamalak O.

In spite of the growing attention to brand research in recent years, few studies have sought to investigate a brand identity and its web-representation to better understand how it communicates its dispositional characteristics and how it is perceived by customers.

The authors generate new insights and research propositions in a case study of the Russian women's clothing brand “Akhmadullina Dreams” to provide findings on the brand identity and its contribution to the brand’s success.

In this descriptive study, the Akhmadullina Dreams brand is defined through several analytical stages by using a mixed-method design.

The initial stage involves multi-dimensional brand-related settings analysis [Kotler, 2006]: brand-as-person, brand-as-product, brand-as-organization, and brand-as-symbol. Discourse and semiotic analyses uncover key brand features and the resemblances of the brand to a cultural concept. The critical discourse analysis determines the key features of web communication and its contribution to the brand identity.

A psycholinguistic associative experiment shows how successful the brand is in maintaining its identity and delivering its primaries to the customers and, on the other hand, the meaning the customers perceive.

The results have significant relevance for those in brand-related spheres: brand creators, content writers, fashion bloggers, linguists, and journalists.

Research target: Philology and Linguistics Media and Communications
Language: English
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DOI
Text on another site
Keywords: культурная идентичностьинтернет-коммуникацияbrandfashionнациональный брендcultural homogeneitynational brandweb-based communicationбренд одеждыАхмадуллинауспех бренда
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