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May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.
May 7, 2026
Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors
An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.
May 6, 2026
The Future of Cardiogenetics Lies in Artificial Intelligence
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

 

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The Choice Modelling of Market Strategy with the Focus on Logistics Sustainable Development Goals

P. 221–230.
Kitzmann H., Strimovskaya A., Sinko G., Tsyplakova E.

The article gives a multidimensional framework for decision making in strategic management. There is developed a roadmap on choosing the most suitable market strategy of Ansoff matrix by considering a designed set of 20 performance indicators. Hence, each indicator may have a different influence on the strategy application, so we conduct sensitivity analysis to investigate the affect rate. The sensitivity analysis is made with application of the weighted sum model (WSM). In order to achieve the desired level of performance indicators for each strategy there is designed a system of logistics concepts recommended for application.

The present research proposes application of the developed framework within sustainable development concern and digital transformation in logistics. The suggested vision of the market strategy choice modelling is similar to machine learning approach and allows its further application. The present study contributes both to academic community and industrial development: it gives an explicit and transparent roadmap for managers on strategic decision making and discovers the principal concerns of choice modelling with the machine learning approach.

Language: English
DOI
Text on another site
Keywords: logisticsSustainable developmentmarket strategyMachine Learning ApproachWeighted Sum Model (WSM)

In book

Reliability and Statistics in Transportation and Communication: Human Sustainability and Resilience in the Digital Age. Selected Papers from the 24th International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat-2024, Riga, Latvia, September 25-28, 2024
Issue 1337. , Switzerland: Springer Publishing Company, 2025.
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