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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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Activity-based planning of primary care utilization in a model of prospective demand for workforce

Human Resources for Health. 2025. Vol. 23. Article 70.
Stepanov I., Sheiman I.

The article develops an activity-based utilization model to inform strategic planning of the primary care workforce in Russia. Using national data on morbidity, service utilization, and staffing norms, the authors forecast physician visits per capita and link these projections to specific policy activities that can increase or decrease demand for primary care physicians. The model distinguishes groups of interventions such as expanding PHC capacity, strengthening chronic disease management, delegating tasks to nurses, and introducing remote monitoring, and quantifies their combined effect on visit rates under a preferred scenario to 2030. Sensitivity analysis identifies which activities most strongly influence projected demand, supporting prioritization of reforms and demonstrating that relatively simple utilization-based tools can be adapted for medium- and long-term workforce planning in settings with limited data.

Research target: Health Studies Economics and Management
Language: English
DOI
Text on another site
Keywords: primary health careмедицинские кадрыпервичная медико-санитарная помощьactivity-based utilization modelprospective workforce demandhealthcare workforceспрос на медицинские кадрыпланирование кадров здравоохранения
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