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News
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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.

 

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Исследование эффективности параллельных многопоточных реализаций интерполяционных методов для масштабирования растровых изображений

Гл. 6. С. 40–48.
Vnukov A., Шершнев М. Б.

The aim of this work is the software implementation of three image scaling algorithms using parallel computations, and the development of an application with a graphical user interface for the Windows operating system to demonstrate the operation of algorithms and to study the relationship between system performance, algorithm execution time and the degree of parallelization of computations. 48 Three methods of interpolation were studied, formalized and adapted to scale images. The result of the work is a program for scaling images by different methods. The paper also presents a comparison of the quality of scaling by different methods.

Language: Russian
DOI
Keywords: интерполяцияобработка изображенийparallel programmingпараллельное программированиеinterpolationimage processing

In book

Математическое моделирование в прогнозируемых системах
Математическое моделирование в прогнозируемых системах
Вып. 15. , М.: Горная книга, 2017.
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