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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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The Impact of Renewable Energy Consumption, Economic Growth and Exports on CO₂ Emissions in Pakistan: An ARDL Approach

Canadian Social Science. 2024. Vol. 20. No. 5. P. 30–42.
Imran Ali

The dynamic relationship among CO₂ emissions and Economic factors such as renewable energy consumption, GDP growth, and exports is an important aspect in view of environmental sustainability and economic development for developing countries like Pakistan. This research aims to explore the short-term and long-term relationship between CO₂ emissions and renewable energy, GDP growth, and exports in Pakistan. by using data from the year 1991–2022 and the ARDL technique of cointegration to check both long and short-term relationships among GDP, RE, exports and CO₂ emissions. and to check the stability and robustness of the model after estimation, a range of diagnostic tests is carried out. These include descriptive statistics, unit root tests, ARDL bounds testing. The results of the ARDL analysis reveal that Increased use of renewable energy significantly reduces CO₂ emissions in both the short and long term. GDP growth is associated with increased CO₂ emissions, both currently and with a lag, indicating a persistent relationship between economic activities and carbon emissions. In the short term, increased exports are associated with a decrease in CO₂ emissions, and in the long term, exports do not significantly affect CO₂ emissions. This paper, therefore, further contributes to what the literature provides through an in-depth analysis of how economic activities and environmental impacts interplay in Pakistan, emphasizing balanced economic and ecological policies for long-term sustainability.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: Pakistanexportsassessment of the socio-economic developmentdecomposition of economic growth ratesARDL modelConsumption of renewable energyEconomic growth rateCO₂ emissionsSustainable environment
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