?
Sustainable Social Systems: Innovative Service Implications in the Restaurant Business in the Post-COVID Era with Digital Transformation Strategies
Sustainability. 2023. Vol. 15. No. 19. Article 14539.
The COVID-19 pandemic led to changes in and modifications of the role of information and communication technologies in the digitalization of service provision. This paper aims to identify and summarize these changes in business operations, in the context of strategic management in the restaurant industry, triggered by COVID-19. Based on in-depth interviews with 16 key experts in the restaurant industry (CEOs of chain restaurants), this paper clarifies and concretizes the rapidly transforming problem of identifying the main changes in the restaurant market during the pandemic. These depend on a restaurant’s adaptation level to the challenges that arose, using three dimensions (consumer demand, corporate strategy optimization, and the use of the company’s innovative potential). The analysis shows that chain restaurants, which have sufficient resources to solve the problem of staff turnover, develop technological solutions, and build a brand and customer loyalty, were more resistant to problems arising from the spread of the coronavirus infection than other companies in the catering industry. The presence of serious problems associated with consumer demand and the optimization of the format of the offered dishes and service had a significant impact on the relationship between the impact of the spread of the coronavirus infection and the inability to adapt to the new reality of doing business. The findings reveal that companies need to expand their digital capabilities and adapt their management strategy to the post-pandemic conditions to adapt to the post-COVID-19 period. This paper serves as a framework for understanding the role of digital transformation in sustainable business development.
Hermida Rivera H., Genovese F., International Interactions 2022 Vol. 48 No. 5 P. 897–935
The political economy literature on international bailouts has repeatedly shown that the domestic politics of rescued countries influence international bailout compliance. However, we know less about the domestic politics of bailout negotiations, and especially the type of conditions negotiated by governments of more developed countries with strong ties to international lenders. This paper puts forward ...
Added: September 22, 2026
Hermida Rivera H., Public Choice 2025 Vol. 203 P. 493–501
This note shows that under the unrestricted domain, there exists a choice liberal and Nash implementable social choice rule if and only if there are at least three players and the outcome set is at least twice as large as the player set. A social choice rule is choice liberal if and only if for ...
Added: September 22, 2026
Hermida Rivera H., Kerman T., Journal of Public Economic Theory 2025 Vol. 27 No. 3 P. 1–7
This paper introduces a novel binary stability property for voting rules—called binary self-selectivity—by which a society considering whether to replace its voting rule using itself in pairwise elections will choose not to do so. In Theorem 1, we show that a neutral voting rule is binary self-selective if and only if it is universally self-selective. ...
Added: September 22, 2026
Hermida Rivera H., Games and Economic Behavior 2025 Vol. 153 P. 541–553
In this paper, I characterize minimal stable voting rules and minimal self-stable constitutions (i.e., pairs of voting rules) for societies in which only power matters. To do so, I first let players' preference profiles over voting rules satisfy four natural axioms commonly used in the analysis of power: non-dominance, anonymity, null player, and swing player. ...
Added: September 22, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Lola I. S., Asoskov D., ИСИЭЗ НИУ ВШЭ, 2026.
В настоящей работе представлена методика построения сводного индекса деловой уверенности на основе дискретного вейвлет-преобразования, разработанная в рамках индикаторного подхода, реализуемого Центром конъюнктурных исследований ИСИЭЗ НИУ ВШЭ. Методика позволяет выявлять скрытые флуктуации в динамике конъюнктурных показателей — локальные краткосрочные всплески, возникающие в периоды экономических шоков и после структурных преобразований. В ее основе лежит применение максимально смещенного ...
Added: September 22, 2026
Prokhorov A., Radchenko P., Semenov A. et al., Journal of Business and Economic Statistics 2026
Added: September 21, 2026
Ионцев М. А., Юридическая наука 2026 № 6 С. 522–525
Статья посвящена комплексному анализу правовой природы цифровых прав и цифровых валют в контексте стремительного развития цифровой экономики. Актуальность темы обусловлена масштабным ростом капитализации рынка цифровых активов к 2025 году и их интеграцией в классический финансовый сектор. Автором исследуется проблема отсутствия единого частноправового режима для данных объектов в российском законодательстве. В работе критически оцениваются нормы Гражданского ...
Added: September 21, 2026
Ионцев М. А., Современная наука: актуальные проблемы теории и практики. Серия: Экономика и право 2025 № 6-2 С. 51–57
В статье рассматривается правовая архитектура цифрового сегмента финансового рынка. Автор иллюстрирует историческую связь между посредническими и банковскими сделками, благодаря которой между субъектами договоров вклада, займа и счета сохраняются фидуциарные элементы отношений, которые ярко проявляются в посреднических договорах, как фактического, так и юридического посредничества (поручения, комиссии). В статье рассматриваются отношения между операторами выпуска ЦФА и пользователями, ...
Added: September 21, 2026
Lola I. S., Asoskov D., Ursulenko V., ИСИЭЗ НИУ ВШЭ, 2026.
Настоящая работа посвящена сравнению эффективности классических эконометрических моделей и современных алгоритмов машинного и глубокого обучения для кратко- и среднесрочного прогнозирования качественных данных бизнес-опросов деловой активности обрабатывающих производств России. На основе данных за период с января 2010 г. по март 2026 г. было комплексно протестировано 10 различных подходов, включая классические модели ARIMA, VAR, ETS, алгоритм XGBoost ...
Added: September 21, 2026
Ионцев М. А., Современная наука: актуальные проблемы теории и практики. Серия: Экономика и право 2025 № 6-2 С. 43–50
В статье рассматривается актуальность и необходимость правового регулирования цифровых инноваций в условиях стремительного развития современного технологического ландшафта. Проблематика цифровых валют, таких как ВТС и ETF, сопровождается неопределённостью правового режима и потенциальными рисками для финансовой стабильности и защиты прав потребителей финансовых услуг. Автор анализирует принцип технологической нейтральности как основной ориентир для создания эффективного правового регулирования, способного ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 855–862
Tasks related to the automation of medical data processing are becoming more urgent. Particular attention is paid to systems for monitoring and analyzing human physiological parameters. Such systems often use specialized sensors to capture biomedical images, such as infrared cameras. This article describes our study of the problem of segmenting the eye pupil and iris ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 3 P. 844–854
Improving image quality is becoming an increasingly popular task, especially when working with mobile devices. One common approach to image enhancement is the use of convolutional neural networks. However, to achieve good results, such networks must be large enough, otherwise there is a risk of unwanted artifacts. In addition, large convolutional neural networks require significant ...
Added: September 21, 2026
Aleksei Samarin, Alexander Savelev, Aleksei Toropov et al., Optical Memory and Neural Networks (Information Optics) 2024 Vol. 33 P. 424–434
This study explores the development of classifiers for microbial images, specifically focusing on streptococci captured via microscopy of live samples. Our approach uses AutoML-based techniques and automates the creation and analysis of feature spaces to produce optimal descriptors for classifying these microscopic images. This technique leverages interpretable taxonomic features based on the external geometric attributes ...
Added: September 21, 2026
Кулясов Н. С., Русайнс, 2025.
Раскрыты ключевые климатические угрозы и уязвимость территорий в аридных условиях Северного Прикаспия. Показано, как изменения температуры, осадков и экстремальных явлений воздействуют на природные комплексы, инфраструктуру и социально-экономические системы Астраханской области. Представлены методы оценки рисков и результаты их пространственной дифференциации, которые могут быть использованы при разработке региональных адаптационных мер. Монография может быть полезной для исследователей, специалистов ...
Added: September 21, 2026
Aleksei Samarin, Aleksei Toropov, Alexander Savelev et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1053–1060
This paper presents a novel approach to classification in biomedical imaging, specifically targeting polyp recognition in video endoscopy snapshots. Our method leverages specialized image descriptors to enhance the accuracy and robustness of polyp recognition. By employing these specialized descriptors, we address the challenges inherent in analyzing biomedical images from open datasets. Our approach not only ...
Added: September 21, 2026
Самарин А. В., Торопов А. Г., Савельев А. Г. et al., Pattern Recognition and Image Analysis 2024 Vol. 34 No. 4 P. 1044–1052
This paper presents a study aimed at improving the detection quality of small-sized microorganisms under challenging microscopic conditions through the application of a lightweight combined image preprocessing model. We focused on the task of detecting diplococci in images obtained through dynamic sample microscopy. The proposed approach employs predefined filters for image preprocessing, combined with the ...
Added: September 21, 2026
Singapore: Springer Singapore, 2025.
Added: September 21, 2026
Tomat A., Sergei O. Kuznetsov, International Journal of Approximate Reasoning 2026 Vol. 197 Article 109754
Interval Pattern Structures (IPS) provide a natural way to represent local, human-readable explanations for predictions on numerical data through vectors of intervals interpreted as axis-parallel hyper-rectangles. In this paper, we develop and evaluate an IPS-based k-nearest neighbors classifier, IPS-KNN, that explains each prediction through a single local interval description rather than through the aggregation of ...
Added: September 21, 2026
Aleksei Samarin, Nazarenko A., Kotenko E. et al., / Series arXiv "math". 2025. No. 2511.20141.
This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in information flow analysis. Building on the concept of tensor flow divergence, which quantifies how information is transformed across network layers, we develop a two-stage optimization process. The first stage ...
Added: September 21, 2026
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
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
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
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