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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Концепция динамических ловушек и точки действия

Краткие сообщения по физике Физического института им. П.Н. Лебедева Российской Академии Наук. 2025. Т. 52. № 7. С. 72–83.
Lubashevsky I., Лубашевский В. И., Гусейн-заде Н. Г.

Within the paradigm of intermittent human control, we propose a novel model of dynamical traps to describe the balancing of a dynamical system near its unstable equilibrium. The core of this model is probabilistic, featuring alternating transitions between two behavioral modes of the subject – active and passive phases – in regulating the dynamics of the controlled object. These modes are delineated by action points, which represent the moments when the subject decides to switch between modes. This switching behavior is modeled using an original stochastic differential equation. Within this approach, action points are conceptualized as stepwise transitions in a special variable, ζ , which switches between two boundary values: ζ = 0 and ζ = 1. The introduced trap function, Ω(Δ), quantifies the subject’s perception of the object’s deviation from the unstable equilibrium or a desired state,
thereby determining the current priority of the two behavioral modes. Crucially, these transitions—action points—occur before the trap function reaches its extreme values, Ω(Δ) = 0 or Ω(Δ) = 1, underscoring the probabilistic nature of intermittent human control.

Research target: Mathematics Physics Psychology
Language: Russian
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Keywords: dynamical trapintermittent human controlaction pointдинамическая ловушкаprobabilistic transitionsпрерывистое управлениеточки действиявероятностные переходы
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