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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.
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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.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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ILToxDB: A database on cytotoxicity of ionic liquids"

Environmental Science and Technology Letters. 2025. Vol. 12. No. 12. P. 1631–1635.
Toukach P., Arakelyan L. A., Egorova K. S., Ananikov V. P.

Ionic liquids (ILs) are widely used in diverse scientific and industrial fields, yet many of these substances exhibit significant cytotoxicity, challenging their classification as “green solvents”. To facilitate access to established experimental cytotoxicity data on ILs, we present ILToxDB - a curated, open-access database containing 3844 cytotoxicity assay entries for 1224 ILs tested across 154 cell lines and extracted from 152 scientific publications. Each entry includes detailed experimental context, such as the assay type, cell line characteristics, and compound structure (including SMILES), allowing flexible search and analysis. ILToxDB offers a user-friendly web interface and supports advanced structure-based queries. The database is designed to support toxicological assessment, green chemistry development, and machine learning applications for safer IL design. ILToxDB is freely available at https://iltox.ananikovlab.ai/.

Research target: Chemistry
Language: English
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DOI
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Keywords: databaseionic liquidcytotoxicityILToxDBcytotoxicity metriccytotoxicity assay
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