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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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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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