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News
July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.
July 13, 2026
'My Goal Is to Become a Tenured Professor'
Mikhail Samatov focuses on the theoretical study of perovskite solar cells. In this interview for the HSE Young Scientists project, he talks about working on HSE University’s supercomputer, collaborating with Peking University, and making furniture.
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.

 

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Исследование показателей стратегии развития спорта в регионах РФ

Проблемы управления. 2021. Т. 3. С. 50–57.
Prokofiev V. N., Myachin A. L., Myachina K.

The indicators of regional sports development in the Russian Federation are analyzed
to find regions with a similar sports development strategy (according to the chosen methodology
and measures of closeness) and to identify dynamic groups in a four-year period. Some clustering
and pattern analysis methods are described, and their use in the study is validated. The results
obtained by classical clustering and ordinal-invariant pattern clustering methods are compared.
The main state programs in the field of sports in the Russian Federation are highlighted and analyzed.
The key aspects and problems of the state regulation of sports activities in the Russian
Federation are indicated. Some ways for improving the existing regulatory and legal acts based
on the dynamic analysis of regional patterns are proposed.

Research target: Economics and Management
Priority areas: state and public administration
Language: Russian
Full text
DOI
Keywords: спортгосударственное регулированиеstate regulationcluster analysisкластерный анализsportsфизическая культураphysical educationpattern analysisанализ паттерновпорядково-инвариантная паттерн-кластеризацияordinal-invariant pattern clusteringsport lifeспортивная жизнь
Publication based on the results of:
Decision making and data analysis in socio-economic and political systems (2020)
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