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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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Синтаксические средства выражения интенсивности признака

Историческая и социально-образовательная мысль. 2015. Т. 7. № 6 часть2. С. 315–322.
Terentyeva E. V., Efimova A. A.

The article is a part of the extensive research aimed at
the in-depth study of intensifying adjectives. The paper
considers the categories of intensity, expressiveness
and evaluation. The present research is based on
the material collected from the 20th-century British
and American novels. Continuous sampling method is
employed. The paper presents an attempt to describe
and analyze syntactic means of adjective intensification.
Particular attention is paid to subordinate clauses,
inversion, exclamatory sentences, and repetition.
Alongside with syntactic constructions the article reveals
the significance of syntactic function and its
influence on the meaning of adjectives. The analysis
conducted shows that non-gradable adjectives when
intensified can become gradable.

Research target: Philology and Linguistics
Language: Russian
Full text
DOI
Text on another site
Keywords: значениеоценкаповторимя прилагательноеинтенсификацияатрибутградуальный
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