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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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Семиотика или меметика? К вопросу о способах интеграции социально-гуманитарного знания

Полис. Политические исследования. 2015. № 2. С. 72–84.
Fomin I.

The article explores semiotics and memetics as two concepts that both seek to play the role of transdisciplinary integrators for humanities. Semiotics with its theoretical and methodological concepts allows to study not only texts in natural languages, but any pieces of semiotic reality. So in prospect it can play in the humanities the role that is similar to that played by mathematics in natural science. However, nowadays semiotic research methods exist only as number of stand-alone methods dispersed in various disciplines, traditions and fields of study. In order to come to function as an integrative methodology semiotic concepts that are in use should be properly reflected from this transdisciplinary point of view. The concept of sign, which is a basic concept of semiotics, is not an exclusive notion that can become an elementary category for the analysis of cultural reality. In social sciences and humanities one can fi da whole range of concepts that try to grasp and represent some abstract elemental forms in which culture is 83brought to existence, developed and reproduced. In this range one can fi d words like myth, idea, imageetc. The meaning of those concepts in some aspects can seem rather similar, but for some reason they exist parallelly and always leave an impression that there is some difference between them that does not allow them to be converged. The concept of meme is one of the newest ones in this set of notions. According to memetics (study of memes), any cultural information is composed of memes, in the same way as biotic information is composed of genes. But is memetics capable of going beyond this primary vision? Can it be a functional theoretical and analytical tool? Can it be complemented with the concepts of semiotics? What are the strengths and weaknesses of these two theoretical and methodological frameworks?

Priority areas: sociology humanitarian
Language: Russian
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Keywords: семиотикаметодология гуманитарных наукмемымеметика
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