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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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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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The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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LLVM-based static analysis tool using type and effect systems

Автоматика и вычислительная техника. 2012. Т. 7. № 46. С. 324–330.
Beliaev Mikhail, Tsesko V.

The intent of this paper is to describe a static analysis tool under development. The main idea behind the design of this tool is to use type and effect systems for static analysis of real programs. The tool uses LLVM bitcode files as input, thus extending the set of analyzed languages to those supported by LLVM compiler infrastructure. It uses its own parser of bitcode files and a program model similar to that of LLVM. The approach taken is to research feasibility of designing instruments for static analysis by applying known type and effect system based algorithms for detecting defects to LLVM bitcode language and effectively to original source code

Priority areas: IT and mathematics
Language: Russian
DOI
Keywords: software static analysisстатический анализ программ
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