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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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Estimation of the Thermodynamic Parameters of Land Cover from Multispectral Measurements of Reflected Solar Radiation (Landsat) in Terms of Nonextensive Statistical Mechanics

Doklady Earth Sciences. 2019. Vol. 487. P. 852–857.
Sandlerskiy R., Puzachenko Y. G., Shironya I., Krenke A., Puzachenko М.
Translator: Maslennikova E.

This paper substantiates the use of the nonadditive statistical mechanics equipment to estimate the thermodynamic variables of an ecosystem in terms of the multispectral measurements of reflected solar radiation. The parameter q is accepted as corresponding to the Förster maximum organization conditions. The remote information (Landsat) has been used to calculate the entropy, Kullback information, Förster organization measure, free energy, exergy, related and internal energy, and the energy consumption for evapotranspiration and photosynthesis for the q index measured for each pixel of the satellite images. It is proved that the seasonal dynamics of the q index and the organization measure is fully consistent with the implications arising from the open nonequilibrium system theory, and the thermodynamic variables accurately reflect the current state of the ecosystem.

Research target: Earth Sciences Biology
Language: English
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Keywords: дистанционное зондированиеremote sensing dataтермодинамика ландшафтаlandscape, ecosystem thermodynamicq-parameterq-параметрnon-additive statistical mechanicsнеаддитивная статистическая механика
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