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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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Треки поступления в магистратуру: какие программы привлекают абитуриентов (кейс Южного федерального университета)

Регион: Экономика и Социология. 2022. № 4. С. 133–162.
Garmonova A., Shcheglova D., Opfer E., Андрейченко Н. В., Плохая М. О.

The article examines the admission tracks of master’s students at the So -
uthern Federal University (SFedU) in 2020 when Russian universities imple -
mented the distant format of initial testing.
The purpose of the study is to test hypotheses regarding the admission
tracks to the master’s degree programs at SFedU and to analyze the most
popular specialties in terms of admission strategies. Based on the admission
data and a sociological survey of SFedU students, we outline the admissi -
on strategies according to the following criteria: break in study, change of uni -
versity, moving to another city for bachelor’s studies, moving to another city for
master’s studies.
The study has shown the most and the least demanded areas of study and
built up a potential master’s degree student profile. The master’s target audi -
ence could vary in age, strategy for selecting areas of study, and motives for
enrollment. The hypothesis that the most popular track for master’s degree
students is to continue their education at the same university without a break
has not been confirmed. Admission strategies, including changing regions
to get admission to a university, are typical of master’s students who choose
unique programs. The study estimates that admission tracks outline more about
the strong academic school these programs follow rather than target admission
levels. We prove demand for individual educational routes among master’s
students.

Research target: Education
Language: Russian
DOI
Text on another site
Keywords: стратегии поступленияЮжный Федеральный Университетроссийская магистратураmaster’s studies in Russiauniversity admission strategiespromotion of master’s programsmaster’s degree student profileSouthern Federal Universityпродвижение магистерских программпортрет магистранта
Publication based on the results of:
"Рождение российской магистратуры" - комплекс взаимосвязанных мероприятий (2018)
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