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November 6, 2026
Study Reveals Why Experienced Readers Sometimes Make Mistakes in Comprehension
Researchers at the HSE Centre for Language and Brain examined how people comprehend sentences in which the grammatical structure conveys a meaning that conflicts with assumptions based on their life experience. In an experiment, participants were asked to read sentences describing two characters and then identify which character had performed the action. The results showed that people with greater reading experience performed better when a character's actions matched their expectations but were more likely to make mistakes when the actions contradicted those expectations. The paper has been published in the Quarterly Journal of Experimental Psychology. The study was supported by a grant from the Russian Science Foundation.
November 6, 2026
Fall into ML 2026: From Fundamental Research to Discussions on the Future of AI
On October 23–24, HSE University hosted Fall into ML 2026, the fifth conference on machine learning and AI. Over the past five years, the event has grown from a small gathering of researchers into a flagship platform that brings together leading machine learning specialists, early-career researchers, students, and representatives of technology companies. The fifth edition marked a new stage in the development of the conference, with a programme that included discussions with international speakers, presentations of joint research projects, and tutorials on the latest trends in AI.
November 5, 2026
Masters Programmes and AI: Shaping the Future of Higher Education
From October 28 to 30, the 17th International Conference on Higher Education, ‘The (Non)Homogeneous Landscape of Higher Education: Institutions, Trajectories, Effects,’ took place at HSE University. Among the key topics discussed at the plenary sessions on the second and third days were the development of master's programmes and the application of AI in the learning process.

 

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Assessment of the influence of building parameters on the urban heat island in the districts of Moscow

Construction Materials and Products. 2024. Vol. 7. No. 5. Article 10.
Le M. T., Bakaeva N. V.

Large cities, as financial centres, attract a dense adult population, leading to a high demand for housing. This growth requires urban expansion and increased building density, which disrupts the ecosystem and gives rise to a concentrated urban heat island (UHI). In a study conducted in Moscow, a numerical climate simulation model was used to explore the relationship between urban indices, specifically the building height-to-width ratio (H/W), sky view factor (SVF), and UHI intensity. The results indicated significant impacts of both H/W and SVF on UHI. More accurate predictions were achieved by adjusting coefficients in the Oke model using non-linear regression of simulated H/W and heat island intensity. These findings highlight the crucial role of urban morphology in UHI formation and development, providing a scientific basis for mitigating UHI impacts through urban planning strategies. While it is challenging to generalise a formula for calculating UHI intensity due to the diversity of urban forms, our research method offers a valuable approach for similar studies in other cities.

Research target: Earth Sciences Construction Environmental Biotechnologies
Language: English
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Keywords: Urban heat islandlocal climate zonessky view factorurban parametersENVI-metenvironmental safety managemenлокальная климатическая зонагородской тепловой островгородские параметрыкоэффициент обзора небаENVI-metуправление экологической безопасностью
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