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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.
August 18, 2026
HSE Scholar Presents Research on Postcards in Brazil and South Korea
Timur Khusyainov, Deputy Dean of theFaculty of Humanities atHSE University–Nizhny Novgorod, took part in two international conferences—the XVI World Congress of Rural Sociology in Porto Alegre, Brazil, and the 36th Annual Conference of the Alliance of Digital Humanities Organisations (DH2026) in Daejeon, South Korea. On his way to the conferences, the researcher also visited several other places, where he presented the experience of the Pochtovoe educational project.

 

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Моделирование влияния иностранных инвестиций на продовольственную безопасность на основе моделей панельной коинтеграции

Бизнес-информатика. 2017. № 3(41). С. 20–29.
Kopnova E., Rodionova L.

The paper studies the problems of food security as the basis for the stability of the country’s economic development. Despite the economic growth of most countries in the world, the problems of hunger continue to be acute in developing countries. This undermines the food security of these countries and can pose a threat to world peace as a whole. Numerous studies show that foreign investment plays an important role in the creation of food security, but this effect is ambiguous. The most common methods of analysis in recent researchеs are descriptive analysis and panel data models. In this article, our approach to analyzing the impact of foreign investment is based on panel cointegration models; the interpretation of the results uses the impulse response function based on an error correction model. Countries of North Africa are considered as an example of the implementation of this approach. Data from the World Bank and the Food and Agriculture Organization for 1991–2014 for seven countries (Algeria, Egypt, Libya, Morocco, Sudan, Tunisia, Western Sahara) were selected for analysis. In this paper, we have also tested the methodology for selecting the food security indicator based on analysis of the matrix of cointegration relations. The results show that foreign investment has a significant long-term impact on food security, but in the short term no effect was detected. The proposed modeling methodology can be extended to any region of the world to monitor and evaluate the effectiveness of the current economic policy to combat hunger and poverty.

Research target: Mathematics Economics and Management
Priority areas: economics business informatics
Language: Russian
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Keywords: продовольственная безопасностьиностранные инвестицииforeign investmentsfood securityпанельная коинтеграциямоделирование экономических системpanel cointegration modelmodeling of economic systemsпанельные тесты Педронипанельные тесты единичного корня
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