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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.
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.

 

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Моделирование благоприятности условий для распространения дирофиляриоза в Европейской России

Медицинская паразитология и паразитарные болезни. 2020. № 3. С. 25–31.
Шедько М. А., Mironova V., Коренной Ф. И., Гузеева Т. М.

Modeling of the spatial distribution of favorable climatic conditions for transmission of dirofilariasis in European part of Russia was carried out in order to identify the climatic parameters affecting its distribution. To build the model, the method of modeling ecological niches with optimization by the method of maximum entropy (MaxEnt) was used. The following parameters were considered: average annual air temperature, average annual precipitation, maximum temperature of the warmest month and minimum temperature of the coldest month. The most important climatic factor influencing the spread of dirofilariasis are thermal conditions (air temperature). The average annual rainfall has no significant effect. The most favorable territories of European part of Russia include the Black Earth Region, the Rostov Oblast, the Krasnodar Kray and the Crimea.

Research target: Earth Sciences Health Studies
Language: Russian
DOI
Text on another site
Keywords: изменения климатаclimate changeMaxEntMaxEntGeospatial analysisгеопространственный анализdirofilariasisclimatic determinantsдирофиляриозклиматические предпосылки
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