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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Air Pollution and Individual Productivity: Evidence from the Ironman Triathlon Results

Economics and Human Biology. 2022. Vol. 47. Article 101159.
Naidenova I. N., Parshakov P., Suvorov S.

The study considers how air quality affects the productivity of physically intensive labor. Namely, we analyze the athletes of the Ironman Triathlon, one of the toughest long-distance triathlon races in the world. Moreover, in this competition, both men and women, professional and amateur athletes, can participate. We consider the results of Ironman Triathlon from 2005 to 2019. Using athlete's finishing time as a dependent variable, we estimate the impact of concentrations of two main air pollutants, O3 and PM2.5. We found triathletes performance decrements in swimming due to high ozone concentration and in bicycle riding and running due to high level of PM2.5. We have also found that professional athletes are less sensitive to air pollution, whereas there is almost no gender difference in the impact of air pollution on athletes’ productivity.

Research target: Economics and Management Health Studies
Language: English
DOI
Text on another site
Keywords: air pollutionзагрязнение воздухакачество воздухаAir qualityindividual productivityIronman Triathlonпродуктивность индивидатриатлон
Publication based on the results of:
Management of human resources and technologies: challenges of digital native generation (2022)
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