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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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Процесс трансформации проблемной ситуации в задачу: содержательный анализ

Вестник Томского государственного педагогического университета. 2015. № 9. С. 126–133.
Погожина В. А.

The first step of the problem solving process is problem identification and problem statement. Existing problem analysis models are overspecialized. The article substantiates the approach to building a universal analysis model of a wide range of problem situations, regardless of context and subject fields. The main approaches to the problem analyzing process are mapped; key factors related to the efficiency of the problem to task transformation are identified. It is shown that the model developed on the basis of cognitive approach meets the requirements for the design of a universal problem analysis model. The hypothesis of the research is that the use of this model will allow to develop a complete orientational basis of action of problem to task transformation, regardless of context of the original problem.

Research target: Psychology Education
Language: Russian
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Keywords: задачапроблемная ситуацияrepresentationрешение проблемпсихология мышленияпоэтапное формирование умственных действий, интериоризация, методы психологического исследования, ориентировочная деятельность problem solving
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