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  • Тестирование Telegram-бота, предназначенного для оценки субъективного благополучия и качества жизни граждан, включенных в систему долговременного ухода
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News
April 30, 2026
HSE Researchers Compile Scientific Database for Studying Childrens Eating Habits
The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.
April 30, 2026
New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind
A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

 

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Тестирование Telegram-бота, предназначенного для оценки субъективного благополучия и качества жизни граждан, включенных в систему долговременного ухода

Личность в меняющемся мире: здоровье, адаптация, развитие. 2024. Т. 12. № 3(46). С. 239–252.
Оськин Д. Н., Ларина М. О., Строилова Н. В., Varnavsky A.

This article proposes a framework for strengthening the practice of using online questionnaires in social work that determine the level of subjective well-being and quality of life through the use of a Telegram bot - a mini-program inside the Telegram messenger. An important aspect of using a Telegram bot is the ability to automate data collection, which significantly saves time for both participants and researchers. The bot can send reminders to complete surveys at any time, which helps to increase engagement and provides professionals with timely information about the subjective well-being and quality of life of citizens. This is especially important in the context of long-term care, where well-established feedback can help identify problems at an early stage and adjust the approach to individual care.

The purpose of the study is to assess the level of satisfaction with the Telegram bot @SocialNursingBot among citizens included in the long-term care system. To assess satisfaction, the System Usability Scale analysis method was used - a standard tool widely used in user experience research.

The study is based on the need to improve the accessibility and convenience of surveys. Using a Telegram bot greatly simplifies this process, allowing you to receive feedback in real time. The bot's interface is intuitive, which encourages active user participation and reduces the barrier to obtaining information.

Research target: Health Studies Computer Science
Language: Russian
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Keywords: качество жизниquality of lifetelegramBotsботыTelegram
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