Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
Jeffrey A., Riely J., Batty M. et al., Proceedings of the ACM on Programming Languages 2022 Vol. 6 No. POPL Article 54
Program logics and semantics tell a pleasant story about sequential composition: when executing (S1;S2), we first execute S1 then S2. To improve performance, however, processors execute instructions out of order, and compilers reorder programs even more dramatically. By design, single-threaded systems cannot observe these reorderings; however, multiple-threaded systems can, making the story considerably less pleasant. ...
Dworzanski L. W., , in: Formal Modeling and Analysis of Timed SystemsVol. 9884.: Switzerland: Springer, 2016. Ch. 1 P. 3–18.
The nested Petri nets are a nets-within-nets formalism convenient for modelling systems that consist of distributed mobile agents with individual behaviour. The formalism is supported by developed verification methods based on structural analysis and model checking techniques. Time constraints are crucial for many safety critical and everyday IoT systems. Recently, the non Turing-complete time semantics ...