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Dynamics of Disasters: From Natural Phenomena to Human Activity
Vol. 217.
Springer, 2024.
Under the general editorship: I. Kotsireas, A. Nagurney, Pardalos P. M., S. W. Pickl, C. Vogiatzis
Based on the “Sixth International Conference on Dynamics of Disasters” (Piraeus, Greece, July 2023), this volume includes contributions from experts who share their latest discoveries on disasters either caused by natural phenomena or human activities. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery and uses for mathematical models to describe disasters and their impacts. This volume includes additional invited manuscripts from other experts and leaders in the field. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies and will engage readers from a wide variety of fields and backgrounds.
Chapters
Fuad Aleskerov, Tkachev D., , in: Dynamics of Disasters: From Natural Phenomena to Human ActivityVol. 217.: Springer, 2024. Ch. 1 P. 1–13.
The situation of deep uncertainty is defined by the absence of any statistical evaluations of the situation development. For instance, such situations may include events that occur for the first time. We use scenario analysis to model the potential outcomes of events affecting networks under deep uncertainty. Centrality indices are used to identify vulnerable vertices ...
Added: March 5, 2025
Алексашина А. О., Русских С. В., Тырановец С. В. et al., Менеджер здравоохранения 2026 № 4 С. 53–60
Given the increasing prevalence of carbohydrate metabolism disorders in pregnant women, a validated tool is needed to assess the competencies of physicians involved in the multidisciplinary management of this pathology.
Objective. A comprehensive validation of the author’s methodology (questionnaire) «Flowchart “Methodology for assessing the professional potential of medical personnel of endocrinologists, obstetrician-gynecologists, and general practitioners in ...
Added: June 11, 2026
Bogatyrev R., Sandomirskaia M., / NRU Higher School of Economics. Series EC "Economics". 2026. No. 19(1).
This work develops a tractable model of price competition in fragmented markets where consumers consider both local and distant varieties, with cross-regional purchases subject to stochastic costs. Global competition and full localization emerge as polar cases; hybrid competition is not merely intermediate and exhibits distinctive features such as an endogenous price ceiling and non-monotonic entry ...
Added: June 11, 2026
Strube M., Braud C., Hardmeier C. et al., Suzhou: Association for Computational Linguistics, 2025.
Added: June 11, 2026
Volkova A., Ivanova E., Vorobev A. et al., Sustainable Development 2026 P. 1–15
The global wine industry is transforming due to climate change challenges. Glocalization is increasingly relevant in winemaking, where geographical and cultural diversity requires context-specific solutions in the existing sustainability spectrum in viticulture. Despite growing interest in regenerative viticulture, existing research offers limited insight into how regenerative approaches are operationalized in practice. This study explores how ...
Added: June 11, 2026
Gurkov I. B., Filinov N., Saidov Z., / NRU Higher School of Economics. Series MAN "Management". 2025. No. N/A.
This study discusses the evolution of the management and organization of Soviet industrial ministries—sizeable structures designed to manage enterprises of specific industries. The ‘Soviet style’ enterprise management included operational (day-to-day) control over the volume of production, control over the cost of production, control over the technical level of production, and control over labour productivity. The ...
Added: June 11, 2026
Gurkov I. B., Kossov V. V., Filinov N. et al., / NRU Higher School of Economics. Series MAN "Management". 2026. No. N/A.
This research note is devoted to assessing the socioeconomic impact of sanctions of sanctioned countries and uses the data on Russia in 2022-2024. We use for the analysis four fundamental socioeconomic parameters-the expected length of life of males at birth, the misery index (Okun's index), the level of Gross Domestic Product at purchasing parity prices, ...
Added: June 11, 2026
Evdokimenko A., Strizhova E., Сотникова Е., М.: [б.и.], 2022.
В рамках нашего исследования мы опросили более 800 сотрудников и 50 экспертов, провели интервью с представителями нескольких десятков компаний, чтобы понять, как сотрудники и работодатели воспринимают корпоративное обучение. Исследование состоит из трех блоков. В первом мы рассказываем об эволюции корпоративного обучения: с чего оно начиналось, как менялось и как развивается сейчас. Второй блок посвящен анализу ...
Added: June 11, 2026
L.: Bloomsbury Academic, 2026.
The book focuses on the concept of “socialist market, a cornerstone of political economy in Soviet-type societies undergoing economic reforms from the 1950s onward. Encouraged by the success of non-capitalist mixed economies, market reformers (also called 'market socialists') offered the communist ruling elites a remedy for the persistent crises of the planned economy. Besides optimal planning and ...
Added: June 10, 2026
Kh. Kh. Abdullin, D. B. Mokeev, D. S. Taletskii, Mathematical notes 2026 Vol. 119 No. 1 P. 3–7
By the Ramsey number R(K1,s,Pt) one means the least positive integer n such that, for every n-vertex graph G, the following condition holds: either G contains a vertex of degree at least s or the complement of G contains a simple t-path. In this paper, we fi nd precise values of R(K1,s,Pt) for certain values ...
Added: June 10, 2026
Sorokin D., Kostin A., Savchenko L. et al., Knowledge-Based Systems 2026 Vol. 348 Article 116258
A convenient approach to optimally solving combinatorial optimization tasks is the Branch-and-Bound method.
Its branching heuristic can be learned to solve a large set of similar tasks. The promising results here are
achieved by the recently appeared on-policy reinforcement learning method based on the tree Markov Decision
Process. To overcome its main disadvantages, namely, very large training time ...
Added: June 10, 2026
Namsaraev Z., Nanzatov B., Kozlova A. et al., Scientific Reports 2026 Vol. 16 No. 1 Article 17769
Distilled fermented milk beverages are rare in food technology, despite the global prevalence of plant-based spirits. Currently, the production of distilled strong alcoholic beverages from fermented milk using traditional technologies is known only among Mongolic-speaking peoples and their Siberian neighbors. This study provides the first interdisciplinary analysis of darasun, a traditional Buryat spirit made from fermented ...
Added: June 10, 2026
Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19
This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...
Added: June 10, 2026
Interpretable Machine Learning in Guided Synthesis of Stable Sols Based on Nanosized Titanium Oxides
Glushko A., Neznanov A., Kuz'micheva G. et al., , in: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 5-7 Feb. 2026.: IEEE, 2026. P. 1–6.
This report discusses the guided synthesis of sols containing nanosized titanium(IV) oxides for use in biological and medical applications. These sols vary in size (from ∼2 up to 2000nm) and different stability (from 0 up to 90 days). They are synthesized under changing fabrication conditions (temperature, hydrolysis duration, titanium-containing precursors composition and concentration) without surfactants. ...
Added: April 29, 2026
NY: Association for Computing Machinery (ACM), 2026.
It is our great pleasure to welcome you to the 35th edition of the Web Conference to be held on June 29 – July 3, 2026, in Dubai, United Arab Emirates.
Following discussions with our partners and key stakeholders, we have taken the decision to postpone the ACM Web Conference 2026, initially planned for April 2026. ...
Added: April 17, 2026
M.V. Kornilov, Korolev V., Malanchev K. et al., Astronomy and Computing 2025 Vol. 52 Article 100960
We present coniferest, an open source generic purpose active anomaly detection framework written in Python. The package design and implemented algorithms are described. Currently, static outlier detection analysis is supported via the Isolation forest algorithm. Moreover, Active Anomaly Discovery (AAD) and Pineforest algorithms are available to tackle active anomaly detection problems. The algorithms and package ...
Added: October 2, 2025
Switzerland: Springer, 2025.
This volume contains the refereed proceedings of the 24th International Conference on Mathematical Optimization Theory and Operations Research (MOTOR 2025)1 , held during July 07–11, 2025, in Novosibirsk Scientific Centre, Russia. This year the conference was held under the auspices of the International Mathematical Center in Akademgorodok. ...
Added: July 10, 2025
Ali S., Khizhik A., Ryzhikov A. et al., , in: 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), 12-13 May 2025.: IEEE, 2025. P. 357–360.
Three-phase induction motors play a crucial role in industrial applications due to their efficiency, durability, and reliability. However, effective fault detection remains challenging, primarily due to the scarcity of labeled failure data, which limits the performance of traditional machine learning (ML)-based diagnostic models and increases the risk of overfitting and poor generalization. Conventional methods, such ...
Added: July 3, 2025
Saranskaia I., Boris Gutkin, Zakharov D., European Physical Journal: Special Topics 2025 Vol. 234 P. 4159–4177
This review explores the interplay between data representation and machine learning (ML) methods in classifying functional, cognitive, and pathological brain states using magnetoencephalography (MEG). Two primary data representations are considered: sensor-level signals and reconstructed source signals. Sensor signals, when combined with classical ML methods such as linear discriminant analysis (LDA) and support vector machines (SVM), offer computational efficiency and simplified preprocessing, ...
Added: March 15, 2025
Vlasov V., Aleksei Y. Kuzin, Florya I. et al., Journal of Energy Storage 2025 Vol. 111 Article 115349
This research presents an advanced method for measuring State of Charge (SoC) in Vanadium Redox Flow
Batteries (VRFB) using Refractive Index (RI) combined with Machine Learning (ML). The study comprised of
three primary phases: ex-situ measurements, in-operando measurements, and ML model training. Initially, tests
were conducted using a hybrid photonic-microfluidic sensor on simulated solutions mimicking specific VRFB
SoCs. Subsequently, ...
Added: February 26, 2025
Vlasenko D., Ушаков В. Г., Zaikin A. et al., Известия высших учебных заведений. Прикладная нелинейная динамика 2025 Т. 33 № 4 С. 557–566
The study of functional brain networks that support cognitive processes is one of the central goals of modern neuroscience. Functional magnetic resonance imaging (fMRI) is widely used to obtain data on brain activity. However, the high dimensionality and dynamic nature of fMRI data makes their processing challenging. Network-based methods of data representation offer a promising approach to describe ...
Added: January 14, 2025
Seyedsaeed M., Ahmad Ostovari Moghaddam, Hadavimoghaddam F. et al., ACS Applied Nano Materials 2024 Vol. 7 No. 5 P. 5513–5524
The development of noble metal-free heterogeneous catalysts holds promise for the solvent-free and selective aerobic oxidation of organic compounds. However, the moderate activity of these catalysts under atmospheric conditions limits their industrial use. In this work, the synthesis of noble metal-free (CoFeMnCuNiCr)3O4 high-entropy oxide (HEO) nanoparticles and their grafting on reduced graphene oxide (rGO) to produce ...
Added: January 12, 2025
Springer, 2024.
This book constitutes the refereed post proceedings of the 18th International Conference on Parallel Computational Technologies, PCT 2024, held in Chelyabinsk, Russia, in April 2024.
The 22 full papers included in this book were carefully reviewed and selected from 62 submissions. These papers have been organized under the following topical sections: High Performance Architectures, Tools and Technologies; Parallel Numerical Algorithms and ...
Added: December 20, 2024
Nazarova A., Malik M. S., Ignatov D. I. et al., Social Network Analysis and Mining 2024 Vol. 14 Article 228
Identifcation of threatening comments on social media platforms has recently gained attention. Prior approaches have addressed
this task in some low-resource languages but the interpretability of results was not studied. In addition, approaches in the English
language are minimal. To support explainable predictive inference, this research proposes an inherently explainable model for threat
comment identifcation on Twitter. The ...
Added: December 11, 2024
Chertenkov V., Shchur L., / Series arXiv "math". 2024. No. 2411.13027.
The main question raised in the letter is the applicability of a neural network trained on a spin lattice model in one universality class to test a model in another universality class. The quantities of interest are the critical phase transition temperature and the correlation length exponent. In other words, the question of transfer learning ...
Added: November 21, 2024