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September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
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.’

 

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Changing Competitive Landscape Through Business Model Innovation: the New Imperative for Corporate Market Strategy

Journal of the Knowledge Economy. 2019. Vol. 10. No. 4. P. 1362–1383.
Bereznoy A.

The article is dedicated to business model innovation (BMI) from the perspective of its role in today’s competition of large corporate entities. The work aims to make three contributions. First, by relying on strategy-focused and innovation management-focused BMI studies, and linking the two approaches, the author develops the “dynamic concept” of business models’ strategy dimension by bringing the two perspectives together. Second, the work examines how BMI can become a source of sustainable competitive advantage though all the main components of successful business models seem very visible and easy to copy. Third, by unpacking key elements of a business model, the paper discloses what BMI does really mean in terms of concrete changes and how these changes affect a competitive position of the firm.

Research target: Economics and Management
Priority areas: management
Language: English
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DOI
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Keywords: business modelsinnovation managementcompetitive strategybusiness model innovationcorporate organization
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