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September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Оптимизация фрагментации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара

Вестник Южно-Уральского государственного университета. Серия: Вычислительная математика и информатика. 2018. Т. 7. № 2. С. 50–62.
Semenov A., Мукосей А. В.
Priority areas: IT and mathematics
Language: Russian
DOI
Text on another site
Keywords: Ангарамногомерный торправило порядка направленийфрагментация вычислительной системывыбор узлов
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The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
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Graph based routing algorithm for torus topology and its evaluation for the Angara interconnect
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Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара
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This paper considers a high-speed interconnect with a multidimensional topology. The paper is devoted to the optimization of fragmentation resulting from sequential allocation of computing nodes in a supercomputer provided that network traffic from different user’s tasks should not overlap. This paper is the continuation of resources fragmentation optimization work. In this work, the method ...
Added: June 10, 2019
Приближенный алгоритм выбора оптимального подмножества узлов в коммуникационной сети Ангара с отказами
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The Angara high-speed interconnect with multidimensional torus topology is under development in Scientific Research Center for Electronic Computer Technology. During the utilization of the Angara interconnect in cluster systems, there exist busy and failed nodes. Thus, there is a problem of finding an optimal cluster node subset such that the network traffic belongs to this ...
Added: December 12, 2018
Оптимизация утилизации при выделении ресурсов для высокопроизводительных вычислительных систем с сетью Ангара
Мукосей А. В., Semenov A., В кн.: Суперкомпьютерные дни в России: Труды международной конференции (24-25 сентября 2018 г., г. Москва).: М.: МГУ, 2018. С. 831–840.
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Added: November 14, 2018
Оптимизация работы MPI-программ с учётом особенностей топологии кластеров, использующих коммуникационную сеть Ангара
Khalilov M., Timofeev A., В кн.: Суперкомпьютерные дни в России: Труды международной конференции (25-26 сентября 2017 г., г. Москва).: М.: Издательство МГУ, 2017. С. 641–649.
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Added: January 29, 2018
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