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News
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.
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Impact of the crises on household consumption patterns: An analysis of Russian regions

Emerging Markets Review. 2026. Vol. 73. Article 101482.
Voytenkov V.

This paper examines the effects of the 2008, 2014, and 2020 crises on household consumption patterns in Russian regions. The micro-level analysis is conducted using quarterly data from Rosstat's Household Budget Survey. Dependent variables are expenditure on food at home, out-of-home, alcohol, non-food items, services. Explanatory variables are household characteristics and dummy variables that capture the impact of crises during three periods: the precrisis period, the acute phase, and the postcrisis period. Our findings confirm the asymmetric impact of the 2008, 2014, and 2020 crises on household consumption patterns. We present empirical evidence of the recovery of precrisis consumption habits.

Research target: Economics and Management
Language: English
DOI
Keywords: incomeconsumer behaviourconsumption structureEducational attainmenthousehold-level2008, 2014, 2020 crises
Publication based on the results of:
Current Issues of Macroeconomic Dynamics and Macroeconomic Policy in Russia (2025)
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