Development of the approach to the analysis of aviation industry’s adaptation to seasonal disruptions

To mitigate the shocks caused by the pandemic-related restrictions, many governments implemented extensive support measures for companies facing sharp declines in revenues. In Russia, loan guarantee programmes allowed many firms to apply for loans during the pandemic. As a result, the number of small loans soared. Participation in the loan guarantee programmes helped firms in ...

Added: October 8, 2026

Стигмергия и мутуализм в учебных командах: агентная модель STiMUS и её применение в педагогическом дизайне

Patarakin Y., Kutuzov A., Искусственные общества 2026 Т. 21 № 3 Статья 10

This paper presents STiMUS (Stigmergy and Mutualism in Socio-Technical Systems), an agent-based model implemented in NetLogo 7.0. The model formalises two complementary coordination mechanisms in digital project teams. The first is stigmergy: contributor agents select shared artefacts to work on by following traces left by previous editors, without explicit communication. The second is mutualism: artefacts ...

Added: September 30, 2026

Рынок ИТ-специалистов в 2020-2025 годах

Артёменко В. Г., Проблемы прогнозирования 2026 № 1 С. 144–156

The article analyzes the adaptation of the ICT specialist labor market in Russia in the context of technological development and external shocks in the first half of the 2020s. Against the backdrop of a general increase in the number of ICT specialists in Russia, external shocks changed the balance of supply and demand in the labor market. In ...

Added: September 29, 2026

PREDICTING OUTCOMES OF THE ACUTE PHASE OF COVID-19. HIGH SENSITIVE PROGNOSTIC MODEL, BASED ON THE RESULTS OF THE INTERNATIONAL REGISTRY “ANALYSIS OF CHRONIC NON-INFECTIOUS DISEASES DYNAMICS AFTER COVID-19 INFECTION IN ADULT PATIENTS” (ACTIV)

ARUTYUNOV G. P., TARLOVSKAYA E. I., POLYAKOV D. S. et al., Heliyon 2024 Vol. 10 No. 7 Article e28892

The aim of this study is to investigate the course of the acute period of COVID-19 and devise a prognostic scale for patients hospitalized. Materials and methods The ACTIV registry encompassed both male and female patients aged 18 years and above, who were diagnosed with COVID-19 and subsequently hospitalized. Between June 2020 and March 2021, a total ...

Added: September 28, 2026

The Cultural Dimension of Collectivism–Individualism and Empathy in Different Countries During the COVID-19 Pandemic

Burkova V., Butovskaya M., , in: Principles and Forms of Sociocultural Organization: Historical Contexts of Interaction.: L., NY: Anthem Press, 2026. Ch. 12 P. 237–250.

Cross-cultural psychology and anthropology have many ways of studying human cultures in all their diversity. There are multiple theories of cultural dimensions which provide a foundation for understanding how a culture of a given society influences individual values within it and how these values shape individual behavior. The chapter presents several examples of such classifications ...

Added: September 24, 2026

Scalable machine learning approach to disordered 𝑠-wave superconductors

Vyacheslav D. Neverov, Lukyanov A., Andrey V. Krasavin et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 No. 2 Article 024515

We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...

Added: September 5, 2026

De-Dollarization, Global Economic Integration, and Resilience in BRICS+ Economies

Kilinc N., ALI I., Economies 2026 Vol. 14 No. 7 Article 277

The increasingly rapid process of de-dollarization in the context of growing geopolitical fragmentation has significantly altered the monetary dynamics of the global economy, thereby posing important questions about economic resilience and sustainable development in the emerging world. This research investigates de-dollarization-related macro-financial conditions and their association with economic resilience in the BRICS+ countries during the ...

Added: July 14, 2026

Can Humor Reveal Dark Personalities? Machine-Learning Detection of the Dark Tetrad

Glinkina L. S., Doptan E., Kosonogov V., Journal of Individual Differences 2026 No. 47(3) P. 132–143

This study investigates a novel method for assessing Dark Tetrad personality traits (Machiavellianism, Narcissism, Psychopathy, Everyday Sadism) through humor evaluation. Traditional self-report measures are limited by response biases, creating a need for indirect behavioral assessment. We hypothesized that individual differences in these traits would correlate with distinct patterns in evaluating visual humor (funniness, perceived kindness/cruelty, ...

Added: July 8, 2026

Представления об изменении ресурсов у населения России после первых трех месяцев пандемии COVID-19

Васильчук М. С., Шаньков Ф. М., Chumakova M. et al., Psychology. Journal of the Higher School of Economics 2021 Vol. 18 No. 2 P. 247–258

The 2019 Coronavirus disease outbreak leads to negative psychological outcomes not only for healthcare workers and patients, but also for the general public. S. Hobfoll’s Conservation of Resources theory is one of the most applicable models for conceptualizing and evaluating natural and social catastrophes and their impact. A web-based screening has been conducted at the ...

Added: June 30, 2026

The Use of the Missing Sample Simulation Modeling to Create a Classification Model for Three or More Classes by the Example of the Carbohydrate Metabolism Disorder Degree Detection Problem

Новиков Р. С., Novopashin M., Pozin B., Programming and Computer Software 2026 Vol. 52 No. 1 P. 28 – 38

Added: June 26, 2026

Artificial intelligence, drug repurposing and peer review

Levin J., Oprea T. I., Davidovich S. et al., Nature Biotechnology 2020 P. 1127–1131

The COVID-19 pandemic has transformed the way scientific and clinical results are shared and disseminated. According to a recent analysis, an average of 367 COVID-19 papers are being published every week, with a median time from submission to acceptance of just 6 days (compared with 84 days for non-COVID-19 content)1. These unprecedented peer review turnaround ...

Added: June 1, 2026

Machine Learning Approach to Anticancer Activity Prediction of Transition-Metal Complexes Based on a Large-Scale Experimental Database

Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851

In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...

Added: April 23, 2026

Особые экономические зоны Российской Федерации: моделирование решений потенциальных резидентов и процесса их генерации

Plesovskikh A., Journal of Applied Economic Research 2023 Т. 22 № 2 С. 323–354

Modern studies widely discuss the role of special economic zones in stimulating the economic growth and development of Russia, generating the necessary investment flows and increasing the country's innovative potential by expanding production in high-tech sectors of the economy with high added value. The purpose of the study is to model the process of generating ...

Added: April 13, 2026

Влияние пандемии COVID-19 на употребление табака и алкоголя в Российской Федерации

Салагай О. О., Сахарова Г. М., Антонов Н. С. et al., Общественное здоровье 2024 Т. 4 № 4 С. 4–15

Introduction. The study is devoted to the analysis of the dynamics of the tobacco and alcohol use prevalence among the adult population during the COVID-19 pandemic. The purpose of the study: to analyze the impact of the COVID-19 pandemic on the prevalence of tobacco and nicotine-containing products consumption among the adult population of the Russian Federation, men and ...

Added: April 9, 2026

Пандемия COVID‑19 и потребление табачной и никотинсодержащей продукции: обзор литературы

Салагай О. О., Сахарова Г. М., Антонов Н. С. et al., Общественное здоровье 2022 Т. 2 № 2 С. 29–39

The fight against the COVID‑19 pandemic has led to the implementation of unprecedented measures in countries, including self-isolation, which have had a significant impact on people’s behavior and could lead to a change in the consumption of tobacco and nicotine-containing products. This article provides an overview of studies evaluating smoking behavior change and its impact ...

Added: April 9, 2026

Replacing Criterion of Creativity with Criterion of Investment for Results Created by Artificial Intelligence

Pakshin P., Legal Issues in the Digital Age 2026 Vol. 7 No. 1 P. 32–48

Artificial intelligence plays a significant role in automation, minimizing human intervention in fields such as medicine, art, and law. Despite the historically close relationship between art and technology, generative AI has expanded the potential for creative activity. A significant catalyst for this process has been the proliferation of pre-trained AI systems, which have accelerated the ...

Added: March 31, 2026

A Tool for Mass Generation of Random Step Environment Models with User-Defined Landscape Features

Gabdrahmanov R., Tsoy T., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 511–518.

Computer simulations are growing in popularity in robotics research due to their near-zero cost of error and lower labor intensity. One of necessary components of a simulation, in addition to a robot model, is a model of a world in which the robot operates. While it is always possible to construct a world model manually, ...

Added: March 17, 2026

Real-Bogus Classification for ZTF Data Releases: Two Approaches

Semenikhin T., Kornilov M., Pruzhinskaya M. et al., , in: 26th International Conference, DAMDID/RCDL 2024, Nizhny Novgorod, Russia, October 23–25, 2024, Revised Selected Papers. Data Analytics and Management in Data Intensive Domains. (CCIS, volume 2641).: Springer, 2026. P. 211–219.

We considered two fundamentally different approaches to real-bogus classification within the Zwicky Transient Facility survey data. The first approach is based on neural networks that take sequences of object images as input. The second approach uses features extracted from light curves and classical machine learning methods. Several models for both approaches were tested. Quality metrics ...

Added: March 11, 2026