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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.
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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Determinants of China’s GDP Growth: An Empirical Analysis of Macroeconomic Variables

Управленческие науки. 2025. Vol. 15. No. 1. P. 20–35.
I. Ali, Jonas A.

This study examines the impact of foreign direct investment (FDI), trade, and various macroeconomic factors on GDPgrowth in China over the period 1982–2022. By Employing the Autoregressive Distributed Lag (ARDL) model, theresearch investigates the dynamic interplay between GDP growth and fifteen independent variables, including FDI, exports, trade, total debt, and real interest rates. The Augmented Dickey-Fuller (ADF) test confirms the stationarity of the data at first difference. The ARDL model results indicate significant long-term impacts of some variables, particularly the current account balance, exports, and merchandise trade. Short-run dynamics revealed that increased FDI and real interest rates positively affect GDP growth, while increased debt, exports, and final consumption have negative effects. The ARDL bounds test confirms a long-run relationship among the variables. Diagnostic checks show no issues with normality, heteroskedasticity, or serial correlation. This comprehensive analysis provides valuable evidence for policymakers to formulate effective economic policies, promoting growth and stability in China's rapidly evolving economy.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: analysis of economic policyinernational trade systemmacroeconomic factorsforeign direct investment (FDI) time series analysis ChinaChina's economic policyARDL modelGDP Growth
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