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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Мониторинг почвенной влаги

Гл. 3.4. С. 233–238.
Быков Ф. Л., Василенко Е. В., Gordin V. A., Тарасова Л. Л.
Language: Russian
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Keywords: soil moistureвлагозапас почвыагрометеорологический мониторингagrometeorological monitoring

In book

Национальный доклад «Глобальный климат и почвенный покров России: проявления засухи, меры предупреждения, борьбы, ликвидация последствий и адаптационные мероприятия (сельское и лесное хозяйство)»
Т. 3. , М.: ООО "Издательство МБА", 2021.
Similar publications
Inhomogeneous anisotropic analysis of the available water content of the upper soil layer according to ground-based and Remote Sensing on the territory of Russia
Bykov P. L., Gordin V. A., Tarasova L. L. et al., IEEE Transactions on Geoscience and Remote Sensing 2022 Vol. 60 Article 4511809
The Hydrometeorological Center of Russia receives 2 agrometeorological information from about 950 stations one time 3 per ten days and the remote sensing Advanced Scatterometer 4 (ASCAT) data from three Meteorological Operational (MetOp) 5 satellites. We suggest a combined objective analysis (OA) of the 6 available water content based on the available water content 7 ...
Added: October 19, 2022
Response of Spruce Forest Ecosystem CO2 Fluxes to Inter-Annual Climate Anomalies in the Southern Taiga
Vadim Mamkin, Varlagin A., Yaseneva I. et al., Forests 2022 Vol. 13 No. 7 Article 1019
Climate extremes and anomalies modify the CO2 ecosystem–atmosphere exchange of the boreal forests and consequently alter the terrestrial carbon stocks and the atmospheric greenhouse gas concentrations. The effects of the anomalous weather conditions on the CO2 net ecosystem exchange (NEE), total ecosystem respiration (TER), and gross primary production (GPP) of the typical southern taiga nemorose spruce forest ...
Added: August 20, 2022
Совместный оперативный анализ станционных и спутниковых данных о влагозапасе почвы
Bykov P. L., Василенко Е. В., Gordin V. A. et al., В кн.: Материалы II Всероссийской научной конференции с международным участием «Применение средств дистанционного зондирования Земли в сельском хозяйстве». Санкт-Петербург, 26–28 сентября 2018 г.: СПб.: ФГБНУ АФИ, 2018. С. 279–284.
The spatial correlations of station data of measurements of the soil moisture storage in the arable and 10-cm soil layers and satellite data on the relative humidity of the upper soil layer (MetOp-A and B satellites, ASCAT scatherometer) over the European territory of Russia are studied. A computer technology version was used in the test ...
Added: November 13, 2020
The statistical structure of the field of surface soil layer moisture from ground-based and satellite observations
Gordin V. A., Bykov P. L., Tarasova L. L. et al., Russian Meteorology and Hydrology 2017 No. 6 P. 403–414
The archives of measurements at a network of stations of Roshydromet stocks of available water capacity and satellite measurements of relative soil moisture topsoil according with the instrument ASCAT (MetOp satellites) were used. The estimation of the statistical structure of the fields of available water capacity in the upper 10- and 20-cm soil layers, correlations ...
Added: December 15, 2016
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