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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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Becoming an academic entrepreneur: how scientists develop an entrepreneurial identity

Small Business Economics. 2022. Vol. 59. P. 1469–1487.
Hayter C., Fischer B., Rasmussen E.

While academic entrepreneurship depends on the entrepreneurial behavior of university scientists, management studies show that identity development precedes behavioral enactment. This paper extends our understanding of why and how individuals who define themselves as a scientist develop or fail to develop a new commercialization-focused entrepreneurial identity. We develop an explanatory process model by drawing from the concept of liminality, a transitional state during which individuals construct or reconstruct an identity, as well as the entrepreneurship literature. The model not only provides a stylized illustration of identity development and its associated behavioral outcomes, but it also includes several factors such as agency and passion, liminal competence, social support, organizational and institutional support, and temporal factors that moderate the process. We contribute to the literature on entrepreneurial identity by providing a dynamic conceptualization of identity construction and incorporation, among other outcomes, as well as to the academic entrepreneurship literature by elucidating the origin and development of entrepreneurial identities among scientists. A conceptual focus on identity-related micro-processes may help explain why some scientists are more successful at commercializing technologies derived from their research than others. Implications for theory and future research are discussed.

Research target: Economics and Management
Language: English
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Keywords: academic entrepreneurshiptechnology commercializationEntrepreneurship EcosystemsEntrepreneurial identityIdentity development
Publication based on the results of:
Impact of climate change agenda on innovation actors’ behaviour (2022)
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