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News
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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Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021

Issue 1. Springer, 2021.
Under the general editorship: T. Sádaba, N. Kalbaska, F. Cominelli, L. Cantoni, M. Torregrosa Puig

These conference proceedings are the output of one of the first academic events of its nature happening globally, targeting fashion from a communication sciences perspective, including, in a broad sense, cultural heritage studies and marketing. The chapters present theoretical and empirical interdisciplinary work on how various communication practices impact the fashion industry and on societal fashion-related practices and values. The special focus of this volume is how digital transformation is changing the field and its utility to practitioners. Using these academic insights, practitioners can understand the core causes and reasons for trends and developments in the field of fashion communication and marketing.

Chapters
Rallying Hashtags as a Tool for Societal Change in Fashion
Karamalak O., Cantoni L., , in: Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021Issue 1.: Springer, 2021. P. 237–249.
The influencing power of hashtags cannot be overestimated since they can be used as facilitators of some societal change calling for collective action. Following the influential social identity model of collective action (SIMCA) presented by Van Zomeren, Postmes, & Spears (2008), social identity together with collective efficacy beliefs and perceived injustice lead to collective action. ...
Added: November 8, 2021
Research target: Media and Communications Social Sciences Philology and Linguistics
Language: English
DOI
Text on another site
Keywords: marketingvisual culturedigital agevisual communicationmedia industry
Fashion Communication: Proceedings of the FACTUM 21 Conference, Pamplona, Spain, 2021
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