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The article deals with the problem of calculating the volume calendar plan of a paper mill. The presented mathematical model and methods make it possible to schedule paper production orders between several paper machines (PM) to even their loading, devise cutting plans for each winder and arrange the order of their implementation. When forming cutting plans, orders are grouped in accordance with such parameters as grammage, roll diameter, core diameter, product type and number of layers. Deadlines and volumes in customer orders are taken into account. The cutting plans for each winder account for the allowable roll width limits and the maximum number of knives. To find the optimal schedule, a combination of the following criteria is used: minimal trim loss, minimal changes to the knives' setup and smooth transitions by product grades. Solution algorithms are presented that use a combination of the simplex method, the column generation, the branch and bound methods, the greedy algorithm and the local search procedure. We tested the solution approach on real production data from a paper mill in European Russia and obtained the production sequence that better matches deadlines in customer orders compared to the plan devised manually by production planners. [ABSTRACT FROM AUTHOR]

This paper addresses the assessment of woody biomass resources in Russia and the Baikal region. The analysis of the literature demonstrates that the Baikal region has considerable amounts of waste from the logging, timber processing, and pulp and paper industries (up to 220 PJ). A review of utilization technologies for woody biomass demonstrates that the existing technologies based on biomass gasification are promising for energy purposes. The gasification of biomass for small-capacity power plants has some advantages compared to its combustion. This paper considers an autonomous power system that consists of photovoltaic converters, wind turbines, storage batteries, a biomass gasification power plant, and a diesel power plant. A mathematical model used to optimize the system's structure finds the minimum of the total discounted costs for the creation and operation of the system with some constraints met. Based on mathematical modeling, the cost-effectiveness of such a power supply system is assessed for different climatic zones of the Baikal region and the coastal area of Lake Baikal. The findings indicate that the optimal solution is the integration of various renewable energy sources in hybrid power systems. The proportion of energy sources of different types in the installed capacities is found. The study demonstrates that the optimal structure of the power system can provide significant savings (the total discounted costs are reduced by almost 2.5 times compared to the option using a diesel power plant alone). [ABSTRACT FROM AUTHOR]

Orthopteroidea is an ecologically diverse group of incompletely transformed insects that includes several insect orders similar in development and structure. Many species from Dermaptera, Orthoptera, Mantodea, and Blattodea are sensitive to anthropogenic influences and are indicators of the external environment. Some species cause damage to agriculture and forestry; others are inhabitants of human dwellings and pests of food supplies. The aim of this study is to describe fauna of some orders of Orthopteroidea in the Republic of Mordovia, in the central part of European Russia. This study was conducted in April–October 1971, 1984, 1995, 1996, 1998, 2000, 2001, and 2004–2023. All possible habitats were studied using a variety of methods (entomological traps, pitfall traps, pan traps, etc.). An acoustic method of species identification was also used. For each observation, the coordinates of location, abundance, and dates were recorded. The dataset contains 4865 occurrences. In total, 16,644 specimens of Orthopteroidea were studied. The dataset contains 71 species including Dermaptera (4), Orthoptera (62), Mantodea (1), and Blattodea (4). Of these, 13 species are identified for the first time in the region; these mainly inhabit steppe areas. The presence of two Orthoptera species has not been confirmed yet during our studies; these species are noted in this paper according an old published paper. The biodiversity of Mordovia includes 73 species from four orders. The biology of numerous species, their seasonal dynamics, and some descriptions of biotopes and number of new species are described. Dataset:  https://doi.org/10.15468/cmr3yy. Dataset License: Creative Commons Attribution (CC-BY) 4.0 License [ABSTRACT FROM AUTHOR]

This paper is devoted to the resolution of the problem of risk management in a high-risk market environment. The goal of this paper was to study the experience of and prospects for the use of responsible innovations as tools for managing the financial risks of high-tech companies' projects for their sustainable development (using the example of companies in Russia's IT sphere in 2022–2023). We used the SEM method to study the daily statistics of the Moscow Exchange in 2022–2023. As a result, we quantitatively measured the financial risks of Russian companies in the IT sphere in 2022–2023. The studied case experience of the IT sphere in 2022 confirmed that Russian high-tech companies actively implement responsible innovations based on ESG projects. Our main conclusion is that the financial risks of high-tech companies are reduced in the case of the implementation of responsible innovations. Therefore, it is advisable to implement responsible innovations for the sustainable development of high-tech companies in a high-risk market environment. The theoretical significance of our conclusions lies in the substantiation of the synergetic effect of financial risk management with the help of responsible innovations. The scientific novelty and contribution of this paper to the literature consist in its clarifying the sectorial (in the IT sphere) and market (in a high-risk market environment) specifics of managing the financial risks to companies. We also disclosed a poorly studied and largely unknown unique and leading experience of managing the financial risks of Russian high-tech companies in 2022–2023. The practical significance of our recommendations is that the compiled scenario can be used as a strategic benchmark for the most complete development of the potential of the sustainable development of Russian high-tech companies in 2024. [ABSTRACT FROM AUTHOR]

The global energy sector is in a period of transition, during which time it is expected that renewable and low-carbon energy sources, such as wind and solar, will replace traditional fossil fuels, including oil, gas, and coal. The energy transition is happening not only to limit the environmental impact of fossil fuel production and consumption but also to ensure energy security, reliability, access, affordability, and sustainability. The importance of the energy transition has been amplified by recent events, notably the Russian-Ukraine conflict. Economic, financial, and trade sanctions against Russia, and in particular its oil and gas industry, have forced countries to find new suppliers in the short term, but also to investigate new and more sustainable sources to guarantee long-term energy security. Given the importance of energy, it is perhaps not unexpected that there is a considerable body of recent academic literature, particularly over the last 4–5 years, studying what industries, consumers, governments, and markets can do to help bring about a faster energy transition. In this paper, we provide a review of the literature that pertains to the economic aspects of the energy transition. While our initial search of the literature is targeted at uncovering all relevant articles on the subject, we focus most of our discussion on the most influential articles in prominent journals and articles published in this journal—Energies. This review is intended to help identify active topics and potential research gaps and provide future direction, so we hope it will prove useful to the readers and authors interested in this topic. [ABSTRACT FROM AUTHOR]

The purpose of this paper was to reveal the influence of the support of the sustainable development goals (SDGs) on the financial risks of responsible universities in Russia. This paper fills the gap in the literature that exists regarding the unknown consequences of SDGs' support by responsible Russian universities concerning their financial risks. Based on the experience of the top 30 most responsible Russian universities in 2023, we used regression analysis to compile a model for their financial risk management. This model mathematically describes the cause-and-effect relationships of financial risk management in responsible Russian universities. This paper offers a new approach to financial risk management in responsible Russian universities. In it, financial risks to Russian universities are reduced due to universities accepting responsibility for state and private investors. A feature of the new approach is that the effective use of university funds is ensured not by cost savings but by the support of the SDGs. The potential for a reduction in financial risk in responsible universities in Russia through alternative approaches to financial risk management was disclosed. The proposed new approach can potentially raise (to a large extent) the aggregate incomes of responsible universities in Russia compared to the existing approach. The main conclusion is that the existing approach to financial risk management in Russian universities is based on low-efficiency managerial measures which risk burdening universities. This burden could be prevented with the newly developed approach to financial risk management in responsible universities in Russia through support of the SDGs. The theoretical significance lies in clarifying the specific list of the SDGs whose support makes the largest contribution to reducing financial risks for the universities—namely, SDG 4, SDG 8, and SDG 9. The practical significance is that the new approach will allow for full disclosure of the potential reduction in financial risks in responsible universities in Russia in the Decade of Action (2020–2030). The managerial significance is as follows: the proposed recommendations will allow improved financial risk management in Russian universities through optimization of the support of the SDGs. [ABSTRACT FROM AUTHOR]

Featured Application: This review concludes the advantages of heat pipe technology and its application in permafrost regions are summarized, which can also provide recommendations for permafrost protection measures. Permafrost spans approximately 23–25% of the land in the northern hemisphere, primarily found in Russia, Canada, USA, and China. Numerous engineering projects, particularly those related to transportation, are situated within these permafrost regions. Due to the impact of highway construction and global warming, the permafrost beneath the infrastructure is deteriorating, leading to significant damage. Two phases closed thermosyphon (TPCT) is a widely accepted green countermeasure against the problem in permafrost regions. Although it has been applied to prevent permafrost degradation, their application presents significant challenges on account of the stronger endothermic action of asphalt pavement. This paper focused on a review of the thermosyphon technology and application in the permafrost. Moreover, the article highlighted the excellent working performance of the TPCT that improves the stability of the infrastructures and prevents it degrading due its excellent efficiency in terms of heat transfer. The industrial applications of the TPCT were also summarized, along with their limitations. Ultimately, the findings presented in this paper can offer crucial insights for future TPCT design and development in permafrost areas. [ABSTRACT FROM AUTHOR]

In 2022, the Russian forest sector was severely affected by the government's ban on the export of unprocessed timber and trade sanctions imposed by several countries. It is generally recognized that the regions of the Russian North-West are the most affected by trade barriers that have emerged. Against this background, the impact of bilateral trade restrictions on timber companies in the Asian part of Russia is not discussed. Nevertheless, the forest industry is an important sector of the Siberian economy that has an economic, social and environmental impact on the life of local communities. This paper analyzes the differences among Siberian timber companies in their response to the crisis depending on three factors: industrial specialization, scale of revenue and regional location. The results show that in 2022 the highest median revenues and net profits were generated by small firms that were focused on the domestic market and benefited from reduced competition due to sanctions. There is also evidence that spatial heterogeneity in the response to the crisis may be due to the different support measures of regional authorities and the proximity of the region to border points. We argue that the current conditions may become a new driver for the timber industry development, aimed at the growth of added value and expansion of domestic demand for wood products. [ABSTRACT FROM AUTHOR]

The lingering COVID-19 pandemic and ongoing war between Russia and Ukraine have wreaked havoc on the global oil supply chain. The current disruption of the oil supply chain and the rapidly growing energy demand created unprecedented oil shortages and raised the oil price beyond the affordable level. As worldwide oil price hikes continue, there is an urgent need for developing alternative energy sources, such as smart rural energy. Despite its enormous potential as a viable alternative to traditional fossil fuel-based energy sources, smart rural energy has never been fully utilized in society. The limited use of smart rural energy may be related to its lack of commercialization, which could have created more eco-friendly and cost-efficient alternative energy sources. This paper assesses the eco-friendliness and cost-efficiency of smart rural energy sources such as solar, wind, biomass, and hydropower for the first time. This paper is also one of the first studies that intends to develop viable strategic plans for commercializing smart rural energy using strategy maps, which subsequently helps increase public awareness of renewable energy by creating visual communication tools that convey the benefits of smart rural energy commercialization to multiple stakeholders, including government entities, business communities, and energy consumers. [ABSTRACT FROM AUTHOR]

Despite the global decline in marine species biodiversity, relatively few countries have enacted national endangered and threatened species legislation. Tailoring an adequate legislative framework with clear objectives and regulations consistent with the available scientific evidence is fundamental for the effective conservation of marine endangered and threatened species. This paper analyzes the legal framework and current institutional tools for the conservation of marine endangered and threatened species in the Russian Federation. In this regard, important legislative tools include federal laws, as well as internationally binding signed agreements, among others, such as the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) and the Convention on Wetlands of International Importance Especially as Waterfowl Habitat (Ramsar). A strategy and an action plan for the conservation of biological diversity were also developed. Besides, the most important tool for the conservation and protection of marine endangered and threatened species is the Red Book of the Russian Federation (RBRF) and other regional Red Books. Responsibility for causing harm to the species listed in the RBRF and their habitat is specified in the code of administrative offenses and the criminal code of the Russian Federation. Finally, conclusions and identified gaps were highlighted in the last section, including, among other things, that legislation is still limited in how it takes the impacts of climate change into account. Such type of study is highly recommended, considering the relatively few number of papers dedicated to the study of the impact and/or implications of the conservation tools and strategies mentioned in this paper on the status of the marine endangered and threatened species. [ABSTRACT FROM AUTHOR]

The paper explores the phenomenon of anonymous news channels on Russian Telegram, which have become increasingly popular in recent years. Drawing on 25 self-confrontation interviews, we answer the following questions: Do users trust anonymous news? If not, why do they keep using this information source? How does a restrictive socio-political context influence users' trust in alternative news sources? Our results show that, in Russia, the concept of trust is linked to the normative democratic understanding of journalistic functions. At the same time, many users believe that trust in media is not at all necessary and develop individual strategies to navigate a "chaos of narratives". The paper discusses Telegram's role in shaping trust or distrust in news. [ABSTRACT FROM AUTHOR]

The global energy crisis, which began in 2021 due to the extraordinary economic recovery after the pandemic and intensified after Russia's invasion of Ukraine in February 2022, has changed the conditions of energy management, paying more attention to energy efficiency. Natural gas prices have reached record levels and, consequently, so have electricity prices in some markets. Oil prices have reached their highest level since 2008. Higher energy prices have contributed to sharply increased inflation. Households are again becoming interested in buying coal as a source of heat. High energy and gas prices have pushed many families into poverty and forced some factories to cut production or even close. They have also slowed economic growth to the point where some countries are heading for a serious recession. Paradoxically, the negative effects of the energy crisis may accelerate the introduction of cleaner, sustainable, renewable energy such as wind and solar energy. The energy crisis is comparable to the oil crisis of the 1970s, when it contributed to significant advances in energy efficiency. The current crisis has highlighted the importance of investments in renewable energy resources and initiated the process of integrating regional markets, developing energy efficiency and promoting renewable energies. The aim of this article is to comprehensively explore the complex relationship between energy awareness, consumption patterns, and energy efficiency, with a focus on both individual consumers and industries, during the global energy crisis. This paper is based on a literature review, overarching policy documents, energy reports, and other secondary documents. The primary research method was the systematic literature review method, based on which the impact of the global energy crisis on energy efficiency was evaluated. This study emphasizes the diverse influences on energy awareness, ranging from economic factors to consumer preferences and environmental consciousness. The findings of the paper underscore the significant responsibility of industries in contributing to energy-saving efforts and the active role of consumers in the energy market. The responsibility of industries in contributing to energy efficiency is highlighted, with a call for a comprehensive approach that integrates energy-saving criteria into product development and corporate social responsibility. [ABSTRACT FROM AUTHOR]

On 26 May 2011, the Russian People's World Council issued a document entitled The Basic Values: The Fundaments of National Unity. The document, prepared by the Synodal Department for Church–Society Cooperation, provided a catalogue of 17 traditional values whose general framework was constituted by a combination of freedom, unity, patriotism, family, and devotion. At that time, the Moscow Patriarchate considered religious faith to be the foundation of traditional values and it continues to do so. The defence and promotion of traditional Russian spiritual and moral values were also central in the Russian National Security Strategy (2015); this was the case in the updated version of this document as well, put out in July 2021. Furthermore, they have been the core of the Moscow Patriarchate's participation in the Council of Europe and of Patriarch Kirill's speeches about the war in Ukraine. Finally, on 9 November 2022, The Foundations Of State Policy For The Preservation Of Spiritual And Moral Values was approved. This framework permits us to understand the strict interplay between the Church and the State in the Russian Federation and to see why it is important to refer to the concept of post-secularism when talking about the role of religion in post-Soviet Russia. Proceeding from the Abstract, the present paper aims to analyse this interplay in a specific sector of visual culture: the cinema and television industries. Manuel Castells highlighted the relevance of cultural values in the age of information and the connection between the values and social mobilization that follows it. He pointed out that the Internet has become a way to render this connection predominant, inevitably leading to the development of social movements and networks that have a religious basis. This is unquestionably true; surveys conducted by the Russian Public Opinion Research Center (OJSC «VCIOM») and by Nevafilm Research confirm that a high percentage of Russians watch films not only at the cinema or on television (especially the older generations) but also on the Internet (as far as the younger generations are concerned). The importance of this market is also confirmed by the success of the cinema and TV distributor Orthodox Encyclopaedia (2005); in the words of the philosopher Sergei Kravets, who, commenting on it during an interview published in 2006 by the website Sedmits.ru, declared that the expression "orthodox cinema" can be understood as a way to express Russian culture. He asserts that "the fact that today Orthodox films have begun to appear on the central TV channels testifies that Russian film producers and viewers have apparently begun to be aware of themselves as Orthodox, to feel that they are bearers of a special Orthodox culture. [..]". At the same time, consideration should be given to the importance of the Russian Orthodox Church and the Minister of Culture's condemnation of films such as Matilda or Monastery. In addition, it is important to consider that, according to a survey conducted in 2022 by the Levada Center, Russian people consider television the most reliable source of information (54%). The long-term implications of this tendency may have very important effects, not only in terms of its objectives but also in terms of the consideration that, after the beginning of the war, many Western film distributors withdrew their licenses from Russia. This paper will analyse "the effect of religion on the institutional system, the regulatory environment of the media and the public sphere" by studying the features of films and TV programs distributed by Orthodox Encyclopaedia, their relations with traditional values promoted both by the Kremlin and the Church, how these have contributed to strengthening the interplay between the Minister of Culture and the Moscow Patriarchate, and the impact this process has had on Russian society and Russia's relations with the European and Western World in the 2005–2022 period. A list of the films and TV programs being discussed will be provided, and then statements about the project and reviews of the serials and films will be analysed. The analysis will be conducted mainly through the official sites of the Russian Orthodox Church and the Kremlin and by browsing the Integrum database. [ABSTRACT FROM AUTHOR]

The occurrence patterns of forest insect pests and diseases have been altered by global events such as climate change. Recent developments in improved monitoring methods and tools for data analyses provide new opportunities to understand the causes and consequences of such changes. Using a variety of management tools, forest pest management programs can mitigate the influence of global changes on forest health. The goal of this Special Issue is to improve our understanding of the root causes of changes that have induced global changes. Fifteen papers are included in this Special Issue, covering several issues in forest pest management. One paper reviews the causes of Korean oak wilt, and another paper discusses fourteen invasive tree pests in Russia. The remaining thirteen papers cover issues related to the monitoring and management of forest pests. These studies provide a better understanding of the causes of change in the patterns of forest pests under the influence of global changes. These reviews also contribute to the development of forest-pest-management strategies to mitigate such impacts on forests due to global changes. [ABSTRACT FROM AUTHOR]

In the spring of 2022, a new round of epidemic broke out in Shanghai, causing a shock to the Shanghai carbon trading market. Against this background, this paper studied the impact of the new epidemic on the price of Shanghai carbon emission rights and tried to explore the prediction model under the unexpected event. First, because a model based on point value data cannot capture the information hidden in inter-day price fluctuation, based on the interval price of Shanghai carbon emission rights (SHEA) and its influencing factors, an autoregressive conditional interval model with jumping and exogenous variables (ACIXJ) was established to explore the influence of the Russian–Ukrainian conflict and COVID-19 on the interval price of SHEA, respectively. The empirical results show that the conflict between Russia and Ukraine has no obvious influence on the price of SHEA, but COVID-19 led to a decline in the price trend of SHEA over four days before the city was closed, and the volatility changed significantly on the day before the city was closed. The price fluctuation was the strongest within 3 days after the city was closed; In addition, in order to accurately predict the interval data of SHEA against the background of COVID-19, based on the interval data decomposition algorithm (BEMD), a hybrid forecasting model of NDGM-ACIXJ/CNN-LSTM was constructed, in which the discrete gray model of approximate nonhomogeneous exponential series (NDGM) combined with the ACIXJ model is used to predict the high-frequency sub-interval, and the convolution neural network long-term and short-term memory model (CNN-LSTM) is used to predict the low-frequency sub-interval. The empirical results show that the prediction model proposed in this article has higher prediction precision than the reference models (ACIX, ACIXJ, NDGM-ACIXJ, BEMD-ACIX/CNN-LSTM, BEMD-ACIXJ/CNN-LSTM). [ABSTRACT FROM AUTHOR]

In these last decades, especially after the Russia–Ukraine war, the impact of energy related to issues, such as energy poverty, energy transition, and energy security have been heavily debated. To comprehend the conceptual development of this subject in the academic literature, few studies tackle the problems above by reviewing earlier research on the subject. Inspired by this interest and literature ago in this field, this study aimed to address the past, present, and future advancements of critical issues in this regard. Thus, in this review paper performed during February–April 2023, we employed the PRISMA method selecting and checking the review papers articles indexed in the three databases of Web of Science (WoS), Scopus, and JSTOR. Then, the research was followed by extending it and adding some other articles discovered on the gray literature. After a detailed classification of articles, a total of 2615 review articles were deemed valid for this analysis. The study's key contributions is the classification of the some cluster themes for the metasynthesis analyses, which point to potential future directions with a special focus on governmental policies to pursue some macrolevel goals concerning energy poverty, energy transition, and energy security in our daily lives. [ABSTRACT FROM AUTHOR]

(1) Background: Beetles in the superfamily Scarabaeoidea are one of the most important groups of Coleoptera. They are found in various ecosystems all over the world and belong to coprophagous, necrophagous, saproxylophagous, phyllophagous and rhizophagous types. The aim of the study is to describe the fauna and distribution of Scarabaeoidea in the Republic of Mordovia (central part of European Russia); (2) Methods: The study was conducted from 2003 to 2023. Collection material (specimens from 1972 and 1986) was also used. Specimens were collected using traditional Coleoptera collecting methods (manual collecting, light trap, collection of rotten remains and pitfall traps). For each observation, the coordinates, number of specimens and dates were recorded; (3) Results: The dataset contains 3198 occurrences. We examined 11,011 specimens of Scarabaeoidea. The dataset contains information on 88 species of Scarabaeoidea. Of these, five species (Aphodius pedellus, Nobius serotinus, Phaeaphodius rectus, Planolinus fasciatus and Onthophagus medius) are listed for the region for the first time. Another seven species are additionally known from others taken from the literature (but were not found during the present field survey); (4) Conclusions: Species diversity of Scarabaeoidea of Mordovia accounts for 95 species from 4 families (Geotrupidae, Trogidae, Lucanidae and Scarabaeidae). Ten species (Protaetia marmorata, Anoplotrupes stercorosus, Cetonia aurata, Protaetia cuprea volhyniensis, Oxythyrea funesta, Platycerus caraboides, Serica brunnea, Melolontha hippocastani, Trichius fasciatus and Protaetia fieberi) constitute the main population of Scarabaeoidea fauna given in the dataset. The species diversity of Scarabaeoidea of the Republic of Mordovia is roughly similar in number of species to that of neighboring or more northern regions. [ABSTRACT FROM AUTHOR]

The circular economy entails the principles of rational waste management to the best advantage. Waste management in the Russian Federation is currently in a reform process, thus it is crucial to choose now the most efficient way for its development. Besides, in addition to general government strategic aims in such a vast country such as Russia, it is very important to take into consideration specific aspects typical of its territories, which will allow determining regional areas of activities. The article analyzes current municipal solid waste management in the Russian Federation. The case study is of one of the regions (Sverdlovskaya Oblast) characterized by some typical and specific problems which illustrate the results of the first stage of reforming. The authors analyzed the existing and planned mechanisms of state regulation in the waste management sector at regional and federal levels, and scrutinized changes in legislation. The development level of the circular economy in the region was determined on the basis of the index method. The life cycle analysis (LCA)-based evaluation approach made it possible to evaluate the economic efficiency of the production and economic activities at different stages of municipal solid waste (waste paper) recycling with due regard to externalities. The research showed that despite the current substantial economic potential of the secondary resources' (waste paper) reuse, there was a low level of development of the circular economy index. Regional factors hindering and fostering the circular economy development were identified. Recommendations for improving the quality of governance of the municipal solid waste management were formulated. [ABSTRACT FROM AUTHOR]

Three-dimensional (3D) printing, or additive manufacturing (AM), is a production can be utilised to fabricate 3D shapes from a simulated file. This technology has gained global popularity in the construction industry since 2014 due to its wide range of applications. AM promotes a more automated, innovative, flexible, and sustainable construction method, making it an integral part of the Construction Industry 4.0. However, there need to be more detailed studies regarding the effectiveness of AM as the future direction in the construction industry. This paper investigates the application of the finite element method (FEM) in assessing 3D-printed structures to get insight into the performance of these structures. Three leading 3D-printed structures were selected, including Dubai Future Foundation in the United Arab Emirates, Apis Cor house in Russia and PERI house in Germany. Structural and thermal analyses, including linear static, natural frequency, spectral response, and steady state heat, were performed using Strand7 to assess the effectiveness of AM in construction and the reliability of FEM in analysing 3D-printed structures. Although there are limited standards and regulations for 3D-printed structures in most countries, it was concluded that 3D-printed structures presented a similar strength to traditional ones. Moreover, FEM can be used to provide a reasonable analysis of the performance of these structures, while complying with the relevant standards. This paper presents a novel numerical procedure to assess the performance of small-scale 3D-printed structures under various mechanical and thermal loadings by checking against the relevant standards. [ABSTRACT FROM AUTHOR]

A waste reform was recently introduced in Russia to divert waste from landfills. To help advance the reform, this paper presents a life cycle assessment of the municipal solid waste management system in Russia's second largest city—Saint Petersburg—and its neighboring Leningrad region. Five scenarios were evaluated: the current state of the system (S0), its expected post-reform state in 2024 (S1), and its state improved by increased landfill gas collection (S2), by increased waste incineration (S3), and by separate collection of waste (S4). The environmental impact was assessed in terms of climate change, acidification, eutrophication, and abiotic resource depletion (fossil fuels). The results showed an overall reduction in the environmental impact of the waste management system across all impact categories and all scenarios studied. The largest reduction in all impact categories (except abiotic resource depletion) was achieved through source separation of municipal solid waste. Particularly, global warming potential was reduced from 0.328 kg CO2-eq./kg waste generated in S0 to 0.010 kg CO2-eq./kg waste in S4. Regarding abiotic resource depletion potential (fossil fuels), the incineration scenario is the most beneficial, since it reduces the impact by 573%. [ABSTRACT FROM AUTHOR]

Oil has historically been the most significant primary energy source for our daily lives and business activities. However, recent skyrocketing oil prices have been one of the greatest concerns among policymakers, business executives, and the general public due to their impacts on daily necessities, including food, clothing, and automobile transportation. As a result, fast-rising inflation on the global scale is attributed to mounting oil prices. Even though many countries have made a conscious effort to tame oil prices and the subsequent inflation, their efforts are often in vain due to some uncontrollable situations. These situations include the ongoing war between Ukraine and Russia, where Russia began weaponizing its oil resources and limiting oil supplies to its neighboring European countries. Faced with the current energy crisis, a growing number of policymakers and business executives have attempted to develop energy-induced risk mitigation strategies. With this in mind, the primary purpose of this paper is to investigate what may have caused oil price hikes and to determine how significantly oil prices influence commodity prices. This paper then proposes ways to mitigate energy-induced supply chain risks by analyzing four decades of secondary data obtained from multiple sources. [ABSTRACT FROM AUTHOR]

This paper employs the microdata of the Russia Longitudinal Monitoring Survey (RLMS-HSE) to discuss the impact of economic factors, such as household income and female wages, and subjective well-being, such as life satisfaction and health condition, on childbirth probability in Russia, which, following a continuous decline in birth rate throughout the 1990s, began to increase in the 2000s, and rose thereafter almost continuously. The following results were obtained: higher household incomes serve to encourage childbirth, while female wages are seen to act by curtailing childbirth, and when indicators such as life satisfaction and health condition are high, the likelihood of childbirth is increased significantly. Most previous research concerning the determinants of the birth rate in Russia has shown that household income has no effect at all, but the findings in this paper suggest that this may have been due to the special circumstances that existed at the beginning of the economic transformation period in the 1990s. [ABSTRACT FROM AUTHOR]

Accurately identifying the boundaries of agricultural land is critical to the effective management of its resources. This includes the determination of property and land rights, the prevention of non-agricultural activities on agricultural land, and the effective management of natural resources. There are various methods for accurate boundary detection, including traditional measurement methods and remote sensing, and the choice of the best method depends on specific objectives and conditions. This paper proposes the use of convolutional neural networks (CNNs) as an efficient and effective tool for the automatic recognition of agricultural land boundaries. The objective of this research paper is to develop an automated method for the recognition of agricultural land boundaries using deep neural networks and Sentinel 2 multispectral imagery. The Buinsky district of the Republic of Tatarstan, Russia, which is known to be an agricultural region, was chosen for this study because of the importance of the accurate detection of its agricultural land boundaries. Linknet, a deep neural network architecture with skip connections between encoder and decoder, was used for semantic segmentation to extract arable land boundaries, and transfer learning using a pre-trained EfficientNetB3 model was used to improve performance. The Linknet + EfficientNetB3 combination for semantic segmentation achieved an accuracy of 86.3% and an f1 measure of 0.924 on the validation sample. The results showed a high degree of agreement between the predicted field boundaries and the expert-validated boundaries. According to the results, the advantages of the method include its speed, scalability, and ability to detect patterns outside the study area. It is planned to improve the method by using different neural network architectures and prior recognized land use classes. [ABSTRACT FROM AUTHOR]

Utilizing social media data is imperative in comprehending critical insights on the Russia–Ukraine cyber conflict due to their unparalleled capacity to provide real-time information dissemination, thereby enabling the timely tracking and analysis of cyber incidents. The vast array of user-generated content on these platforms, ranging from eyewitness accounts to multimedia evidence, serves as invaluable resources for corroborating and contextualizing cyber attacks, facilitating the attribution of malicious actors. Furthermore, social media data afford unique access to public sentiment, the propagation of propaganda, and emerging narratives, offering profound insights into the effectiveness of information operations and shaping counter-messaging strategies. However, there have been hardly any studies reported on the Russia–Ukraine cyber war harnessing social media analytics. This paper presents a comprehensive analysis of the crucial role of social-media-based cyber intelligence in understanding Russia's cyber threats during the ongoing Russo–Ukrainian conflict. This paper introduces an innovative multidimensional cyber intelligence framework and utilizes Twitter data to generate cyber intelligence reports. By leveraging advanced monitoring tools and NLP algorithms, like language detection, translation, sentiment analysis, term frequency–inverse document frequency (TF-IDF), latent Dirichlet allocation (LDA), Porter stemming, n-grams, and others, this study automatically generated cyber intelligence for Russia and Ukraine. Using 37,386 tweets originating from 30,706 users in 54 languages from 13 October 2022 to 6 April 2023, this paper reported the first detailed multilingual analysis on the Russia–Ukraine cyber crisis in four cyber dimensions (geopolitical and socioeconomic; targeted victim; psychological and societal; and national priority and concerns). It also highlights challenges faced in harnessing reliable social-media-based cyber intelligence. [ABSTRACT FROM AUTHOR]

The present article examines Anglo–Soviet architectural relations during the Second World War, the peculiarities of the perception of foreign experience, and the mutual professional interests. This paper aims to find evidence of multilateral and immensely diverse contacts and examine the reasons for and routes of such collaborations and the actors and institutions involved in the processes. This research attempts to construct new criteria for evaluating professional architectural relationships in the context of ideological and non-ideological obstacles. For this reason, this paper draws data from a wide range of sources, including the State Archive of the Russian Federation (GARF) and the Russian State Archive of Literature and Art (RGALI), the Schusev State Museum of Architecture (GNIMA), and research from the Royal Institute of British Architects (RIBA) Berthold Lubetkin and Erno Goldfinger archives. [ABSTRACT FROM AUTHOR]

Despite the profound roles of surface deformation monitoring techniques in observing permafrost surface stability, predetermining the approximate location and time of possibly occurring severe permafrost degradation before applying these techniques is extremely necessary, but has received little attention. Taking the oil tank collapse accident in the Norilsk region as a case, we explored this concern by analyzing the permafrost deformation mechanisms and determining early surface deformation signals. Regarding this case, we firstly applied the Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique to obtain its permafrost surface deformation rate, then utilized a sine model to decompose its interannual deformation and seasonal deformation, and finally compared the relationship between the topographic slope and deformation rate. Based on experimental results, we reveal that when the annual average temperature continuously increases at a rate of 2 ° C/year for 2∼3 consecutive years, permafrost areas with relatively large topographic slopes (>15 ° ) are more prone to severe surface deformation during the summer thaw period. Therefore, this paper suggests that permafrost areas with large topographic slopes (>15 ° ) should be taken as the key surveillance areas, and that the appropriate monitoring time for employing surface deformation monitoring techniques should be the summer thawing period after a continuous increase in annual average temperature at a rate of 2 ° C/year for 2∼3 years. [ABSTRACT FROM AUTHOR]

Maritime transportation plays a vital role in global trade, and studying the resilience of the global maritime network is crucial for ensuring its sustainable development. Currently, the ongoing conflict between Russia and Ukraine has garnered significant global attention. However, there is a lack of specific research on the impact of the conflict on maritime shipping, particularly the resilience of the global maritime network. This paper proposes a resilience assessment framework under the influence of significant events by combining complex network metrics and network performance indicators from the resilience triangle model. It quantitatively evaluates the resilience changes in the global maritime network before and after the outbreak of the Russia–Ukraine conflict. The experiment utilizes real automatic identification system (AIS) maritime trajectory data to quantify and visualize the changes in global maritime traffic during a 20-day period before and after the conflict, constructing the global maritime network for resilience calculations. The research findings indicate the following changes occurred after the Russia–Ukraine conflict. Firstly, the global maritime industry experienced overall growth, with increased ship transportation between ports. Transportation in certain regions was negatively affected, with a significant decrease in ship activities in the Black Sea and Adriatic Sea areas. The positions of Russia and Ukraine in the world maritime industry noticeably declined. Secondly, the network connectivity, network size, and network density of the global maritime network significantly increased, indicating an enhanced network resilience. According to our quantitative results, from a topological perspective, we observed the following changes: network connectivity increased by 27.2%, network scale increased by 36.6%, network density increased by 32.4%, and network resilience increased by 18.6%. Thirdly, the global maritime network is characterized by a high degree of heterogeneity, and the impact of conflicts on the heterogeneity of the shipping network is not significant. Finally, the network exhibited a slower performance decline under random attacks, while deliberate attacks led to a sharp decline. Due to the adaptive nature of the maritime network, the resilience of the network improves in terms of its topology following the outbreak of conflicts. After conflict incidents, the rate of performance decline during simulated attacks is lower compared to the pre-conflict period. [ABSTRACT FROM AUTHOR]

High-temperature and high-pressure (HTHP)-treated diamonds have attracted attention all over the world due to their vivid colors. In order to explore a new method for the rapid and non-destructive identification of HTHP-treated diamonds, in this paper, five IaAB-type diamonds yielded in Russia were selected as the research object and treated with HTHP. The HTHP-treated diamonds were investigated by DiamondViewTM, cathodoluminescence, micro-infrared spectrometry (micro-IR), low-temperature photoluminescence (PL) spectrometry, and three-dimensional (3D) fluorescence spectrometry. The results show that under DiamondViewTM and cathode rays, the five samples were all non-phosphorescent with different luminous patterns, such as regular annular bands, multiple groups of intersecting linear stripes, or jagged stripes. In the low-temperature PL spectra, most HTHP-treated diamonds exhibited stronger luminescence peaks at 637 nm compared to 575 nm. But there were also exceptions, such as the purple-red sample showing the opposite luminescence peak. In the 3D fluorescence spectrum of the HTHP-treated diamonds, the fluorescence peak mainly appeared in the range of 440–450 nm, accompanied by a broad band of 350–500 nm and even longer wavelengths. Meanwhile, some samples also exhibited fluorescence peaks at longer wavelengths, such as 353 nm, 676 nm, and 665 nm. These results make it possible to identify HTHP-treated diamonds by using luminescence characteristics, providing a new method for the non-destructive and rapid detection of HTHP-treated diamonds. [ABSTRACT FROM AUTHOR]

In this paper, by using GNSS technologies, some features of the distribution and some morphometric parameters of dams and ponds created by the Eurasian beaver (Castor fiber L.) along ten rivers of the Volga-Kama region of European Russia were identified. Detected features depend on the geomorphological, lithological, and landscape features of these rivers and their basins. The significant role of river slopes, as well as landscape zoning, in the distribution of beaver dams and ponds along small rivers in the study region is shown. In the rivers under study, almost all beaver constructions are located on riverbed slopes of less than 3% (most often, less than 2%). In the south of the forest zone (the southern taiga of the Vyatka River basin), the majority of dams and ponds (about 90%) are located on slopes of less than 1%, while, within the uplands of the forest-steppe zone, this location varies depending on the length of the rivers. In general, the greater the average slope of the river (the greater the average elevation of the river basin), the lower, other things being equal, the degree of beaver transformation of such rivers. This feature is better expressed in the rivers of the forest landscape zone and less expressed in the rivers flowing in the forest-steppe zone. Analysis of the morphometric parameters of beaver dams shows statistically significant trends towards an increase in their average height, as the channel slopes increase. Statistically significant trends were also identified towards a decrease in the length of dams and the length of associated ponds, with an increase in channel slopes. It is noteworthy that the critical values of the slope for a statistically significant and relatively sharp change in these parameters are 1.45%, 1.07 (or 0.54)%, and 0.65 (or 0.47)%, respectively. The greatest average heights of beaver dams are confined to those rivers where their basins are composed of loamy rocks/soils (especially those that are poorly plowed), compared with "sandy" river basins. This may be due to the peculiarities of the ratio of surface and underground water runoff in these basins and, as a consequence, different intensities of snowmelt- and rainfall-induced flood flow. We assume that the above-mentioned features reflect the early stages of beaver expansion (population growth) in the studied rivers. [ABSTRACT FROM AUTHOR]

In this paper, we present an effective method for analyzing patterns in the Russia–Ukraine war based on the Lanchester model. Due to the limited availability of information on combat powers of engaging forces, we utilize the loss of armored equipment as the primary data source. To capture the intricate dynamics of modern warfare, we partition the combat loss data into disjoint subsets by examining their geometric properties. Separate systems of ordinary differential equations for these subsets are then identified using the Sparse Identification of Nonlinear Dynamics (SINDy) algorithm under a generalized formulation of the historical Lanchester model. We provide simulations of our method to demonstrate its effectiveness and performance in analyzing contemporary warfare dynamics. [ABSTRACT FROM AUTHOR]

This paper analyzes the connectedness between gold, wheat, and crude oil futures, Bitcoin, carbon emission futures, and international stock markets in the G7, BRICS, and Gulf regions with the outbreak of exogenous and unexpected shocks related to health, banking, and political crises. To this end, we use a wavelet-based method on the returns of different assets during the period 2 January 2019, to 21 April 2023. The empirical findings show that the existence of time-varying linkages between markets is well documented and appears stronger during the COVID-19 pandemic. However, it seems to diminish for some associations with the advent of the Russia-Ukraine War. The empirical results also show that investor risk perceptions measured by the VIX are negatively and substantially linked to stock markets in different regions. Other interesting findings emerge from the connectedness analysis with the outbreak of Silicon Valley bankruptcy. In particular, Bitcoin tends to regain its role as a safe-haven asset against some G7 stock markets during the bank crisis. Such findings can provide valuable insights for investors and policymakers concerning the relationship between different markets during different crises. [ABSTRACT FROM AUTHOR]

Wildfires are important natural drivers of forest stands dynamics, strongly affecting their natural regeneration and providing important ecosystem services. This paper presents a comprehensive analysis of spatiotemporal burnt area (BA) patterns in the Middle Volga region of the Russian Federation from 2000 to 2022, using remote sensing time series data and considering the influence of climatic factors on forest fires. To assess the temporal trends, the Mann–Kendall nonparametric statistical test and Theil–Sen's slope estimator were applied using the LandTrendr algorithm on the Google Earth Platform (GEE). The accuracy assessment revealed a high overall accuracy (>84%) and F-score value (>82%) for forest burnt area detection, evaluated against 581 reference test sites. The results indicate that fire occurrences in the region were predominantly irregular, with the highest frequency recorded as 7.3 over the 22-year period. The total forest BA was estimated to be around 280 thousand hectares, accounting for 1.7% of the land surface area or 4.0% of the total forested area in the Middle Volga region. Coniferous forest stands were found to be the most fire-prone ecosystems, contributing to 59.0% of the total BA, while deciduous stands accounted for 25.1%. Insignificant fire occurrences were observed in young forests and shrub lands. On a seasonal scale, temperature was found to have a greater impact on BA compared with precipitation and wind speed. [ABSTRACT FROM AUTHOR]

The Lysan alkaline–ultramafic complex is located in the Sisim shear zone at the contact of the two largest tectonic structures of the accretion–collisional belt in the southwestern frame of the Siberian craton. Intrusions of the complex consist of ore-bearing olivinites, kaersutite clinopyroxenites, and banded kaersutite gabbro, which have been «cut» by albitite dykes and veins. The veins and veinlets of the carbonate rocks are mainly associated with the albitites. The present paper represents the first detailed mineralogical study of carbonate rocks and albitites in the Podlysansky Massif of the Neoproterozoic Lysan alkaline–ultramafic complex. The mineral composition was determined in situ in a polished section by scanning electron microscopy, energy dispersive spectrometry, and electron probe microanalysis. The carbonate rocks of the Podlysan Massif have been found to contain minerals that are typical of siderite–carbonatites (senso stricto), including calcite, siderite, phengitic muscovite, apatite, monazite, REE fluorocarbonates, pyrite, and sphalerite. These rocks are enriched in light rare earth elements due to the presence of monazite-(Ce), bastnäsite-(Ce), parisite-(Ce), and synchysite-(Ce). The albitites were formed as a result of the fenitization of leucocratic gabbro by alkali-rich carbo-hydrothermal fluids in zones of intense development of tectonic fractures. Infiltration was the dominant mechanism of fenitization. The obtained data significantly enhance the current understanding of the geochemical and ore specialization of rocks in the Lysan Complex. [ABSTRACT FROM AUTHOR]

This paper aims to use location-based social media data to infer the impact of the Russia–Ukraine war on human mobility. We examine the impact of the Russia–Ukraine war on changes in human mobility in terms of the spatial range of check-in locations using social media location data. Specifically, we collect users' check-in location data from Twitter and analyze the average gyration of check-ins from a region across the timeline of major events associated with the war. Change-point detection is performed on these time-series check-ins to identify the timeline of abrupt changes, which are shown to be consistent with the timing of a series of sanctions and policies. We find that war-related events may contribute secondary impacts (e.g., the surge in gas prices) to users' travel patterns. The impact of the Russia–Ukraine war on users' travel patterns can differ based on their own scope. Our case study demonstrates that users' gyration in Warsaw, Paris, and Berlin experienced a decrease of over 50% during periods of gas price surges. These changes in users' gyration patterns were particularly noticeable in neighboring countries like Poland compared to the other three countries. The findings of this study can assist policymakers, regulators, and urban planners to evaluate the impact of the war and to be adaptable to city planning after the war. [ABSTRACT FROM AUTHOR]

The study deals with the possibilities of using alternative types of fuels to produce electricity. Power Plant Vojany (PPV) is a thermal power plant (TPP) in eastern Slovakia, which is part of the company Slovenské elektrárne, a. s. (SE). PPV primarily used black coal to produce electricity, which had to be imported from abroad (the Russian Federation). This activity has become inefficient both economically and environmentally, due to the high price of CO2 permits and the high emission factor of this type of fuel. PPV decided to co-combust biomass and refuse-derived fuel (RDF), which resulted in much better economic conditions due to their price, economic efficiency, and partly closed CO2 cycle. The aim of the paper is to explore the possibilities related to the production of energy in the cleanest possible way and with the least possible damage to the environment in coal thermal power plants using the example of operating Power Plant Vojany located in eastern part of Slovakia and to inspire each other for the modern transformation. For the purposes of hypothesis verification, analytical methods focused on overview studies of average fuel prices, comparisons, and the balance of fuels in connection with eliminated CO2 emissions, as well as municipal waste (MW) management in the EU and V4 countries, were used. The authors also focused on the energy recovery and combustion of MW and tracking the achieved CO2 savings in connection with the development of fuel sources in PPV. The results point to the fact that PPV is one of the power plants that could use biomass and RDF as fuel, which confirms the economic advantages of this procedure. The results confirm that the potential of RDF production in Slovakia is sufficient to ensure the operation of PPV at planned, even higher volumes of electricity production. The transformation to cleaner operation of coal thermal power plants represents a significant contribution of this study. [ABSTRACT FROM AUTHOR]

This paper reports the results from an investigation on the geochemistry and petrogenesis of the Aptian Li-F granites from the Omchikandya, Burgali, and Arga Ynnakh Khaya ore fields in the northern Verkhoyansk–Kolyma orogenic belt in eastern Russia. Li-F microcline–albite granites intrude the Late Jurassic to Early Cretaceous syn-collisional granitoids. According to their geochemical composition, they are close to A-type granites and can be subdivided into low-P and high-P varieties, differing in their geochemistry and genesis. The low-P microcline–albite granites (Omchikandya massif) intrude syn-collisional biotite granites. It is assumed that the formation of their parent melt occurred at deep levels in the same magma chamber that produced biotite granites. The high-P granites (Verkhne–Burgali ethmolith and Kester harpolith) are supposed to have been derived from melts originated from a high-grade metamorphosed lower crustal protolith under the influence of deep-seated fluid flows related to diapirs of alkaline-ultrabasic or alkaline-basic composition. It is supposed that their formation was related to post-collisional extension during the early stages of the evolution of the Aptian–Late Cretaceous Indigirka belt of crust extension. All studied Li-F granites are enriched with rare metals and have associated Li deposits with accompanying Sn, W, Ta, and Nb mineralization. In the low-P Li-F Omchikandya massif, mineralization tends to occur within greisenized granites and greisens in their apical parts. In the high-P granite massifs, mineralization is found throughout their volume, and, therefore, the Verkhne–Burgali ethmolith and Kester harpolith can be considered as large ore bodies. There is a direct dependence of the content and reserves of Li2O on the content of P2O5. Minimum Li2O reserves are established in low-P Li-F microcline–albite granites of the Polyarnoe deposit of the Omchikandya ore field, whereas in the high-P granites of the Verkhne–Burgali and Kester deposits, the Li2O reserves are significantly higher. [ABSTRACT FROM AUTHOR]

This paper aims at finding the suitable healthcare financial model, focusing on their pros and cons, as debated by several scholars. The focus is on the potential benefits for both Romanian and Russian healthcare systems. To reach this goal, a systematic review of the literature was conducted, and various competitive advantages and disadvantages of the financial models were extracted. We reviewed 77 papers published during the last 21 years that were found in famous scientific databases. The main findings of the research point out that the financing of healthcare systems should be based on hybrid sources, and the funds raised should be better invested in order to create added value. By assuring a proper financing, the population's quality of life will improve and life expectancy will increase. This paper provides a new viewpoint to the problem because it reviews certain papers from Russian literature which are not usually included in the review articles. The research results have implications for the government, medical community, and academia, which should work together to strengthen the healthcare system. [ABSTRACT FROM AUTHOR]

Goal: To perform monitoring of the modern experience of CSR (corporate social responsibility) manifestation in Russia and to differentiate and quantitatively measure the contribution of the support of SDGs (Sustainable Development Goals) and responsible HRM (human resources management) to managing businesses' financial risks. For this, a sample of the 11 largest companies of one sphere—the extracting industry—which are included in the ranking of Global 2000 Forbes for 2020 are used. Based on the sample, the authors determine the level of the financial risks of Russian companies in the 2020–2021 period and the impact of CSR (in terms of its distinguished indicators) on it. The authors model and measure the contribution of CSR (in terms of its distinguished directions) to the reduction in the financial risks of Russian companies in 2020 and assess the perspective of the decrease in the financial risks of Russian companies for the 2022–2024 period based on CSR. The novelty of this paper lies in the development of a proprietary classification of the directions of CSR by the criterion of contribution to financial risk management. According to the proprietary classification, the following aspects are distinguished: (1) support of SDGs and (2) responsible HRM. The uniqueness and originality of this paper are due to the fact that for the first time the authors perform quantitative measuring of the contribution of CSR (in terms of the distinguished directions—each in isolation) to managing businesses' financial risks in developing countries based on the example of Russia. [ABSTRACT FROM AUTHOR]

This paper describes the modelling of suspended sediment yield in a plains region in the European part of Russia (EPR) and its prediction for ungauged catchments. The studied plains area, excluding the Caucasus and Ural Mountains, covers 3.5 × 106 km2 of the total area of about 3.8 × 106 km2. Multiple regression methods, such as a generalized linear model (GLM) and a generalized additive model (GAM), are used to construct the models. The research methodology is based on a catchment approach. There are 49,516 river basins with an average area of about 75 km2 in the plain regions. The suspended sediment yield geodatabase contains data from 385 gauging stations. The linear GLM model of suspended sediment yield explains about 50% and the GAM model about 65% of the data variability (R-squared adjusted). The models include mean slope steepness, percentage of arable land, runoff per unit area, catchment area, soil rank and catchment soil erodibility as significant predictors. They also include a zonal-sectoral gradient (the sum of active temperatures and the standard deviation of air temperature, or directly by geographic coordinates). A GAM model is trained to predict suspended sediment yields for unexplored areas of the area. The paper presents the results of extrapolating suspended sediment yield values to ungauged river basins in a plains region of the EPR. For the first time for such a large area, the models built and the use of the basin approach made it possible to predict runoff values for hydrologically unexplored river basins. [ABSTRACT FROM AUTHOR]

The paper presents the result of assessing the antiradical status of consumers (in the context of Russia) in connection with their well-being. This approach is based on a multistage study, in which the results of sociological surveys were applied, as well as estimates of the antiradical potential (ARP) of diets obtained using neural networks, bootstrapping the chemical composition of diets, and calculating reference values using mathematical models. The paper presents data collected from residents living in the territories of at least 21 regions and cities of Russia: Magadan, Saint Petersburg, Moscow, Krasnodar, Lipetsk, Vladivostok, Novosibirsk, Omsk, Voronezh, etc. A total of 1001 people were interviewed, which, according to our calculations, gives a margin of error in value of approximately 3.1%. To calculate the lack of vitamins in the diets of residents of the Russian Federation, data on the chemical composition of food products from the FNDDS database were used. The assessment of dietary habits showed a lack of vitamins below the recommended level in 73% of Russians for vitamin D, 59% for retinol, 38% for β-carotenes, 13% for vitamin E, and 6% for ascorbic acid. The study showed that at least 36% of the Russian population has a low antiradical status, while it was found that "poor" consumers are more likely to consume economically more expensive foods (in terms of their nutritional value). The "poor" segments of the population consume 180–305% more canned food and 38–68% more sweet carbonated drinks than other social groups, but their consumption of vegetables is 23–48% lower. On the contrary, "wealthy" consumers consume 17–25% more complex (varied) dishes, 10–68% more fresh vegetables, and 8–39% more fish. From the obtained values it follows that consumers with low levels of ARP in their diets are in a group with an increased probability of a number of "excess" diseases (diseases of the cardiovascular system, obesity, etc.). In general, the ARP values of food consumed for low-income segments of the population were 2.3 times lower (the ratio was calculated as the percentage of consumers below the level of 11,067 equivalents necessary for the disposal of free radicals generated in the human body per day) than for those who can afford expensive food (consumers with high income). A simple increase in consumption of unbalanced foods, in our opinion, will only contribute to the entry of these consumers into the "average diet trap". All this makes it imperative to develop comprehensive measures to create a new concept of public catering; otherwise, we can expect a reduction in both the health of the population and the performance of the economy of the whole country. [ABSTRACT FROM AUTHOR]

As two influential countries in the global grain production and marketing system, China and Russia have increasingly strengthened their agricultural, economic, and trade cooperation. There are few papers that have considered trade relations from the perspective of the growth effect of grain exports, and it is necessary to fill this gap by systematically sorting the grain trade between the two countries and clarifying the growth effect and influencing factors in this paper. By comparing and analyzing the quantitative and structural characteristics of grain trade between China and Russia between 1996 and 2020, this study used the H–K marginal analysis method to explore the growth path and influencing factors of the export trade of grain products between China and Russia. The results show that the main driving force of the export growth of Russian and Chinese grain products is the price margin, which presents a growth pattern dominated by price and complemented by type and quantity. The empirical analysis of the gravity model shows that the size of the agricultural economy, grain productivity, trade cost, and economic shocks have significant impacts on bilateral trade. In view of this, the status of international agricultural cooperation between China and Russia will be further optimized if they can optimize trade policies to improve the quality of trade development, build cross-border cooperation parks to construct the layout of the whole industrial chain, strengthen infrastructure construction, and deepen and expand interconnectivity. [ABSTRACT FROM AUTHOR]

The motivation for this research was to strive towards specifying the risks for businesses under the conditions of the COVID-19 pandemic and crisis in the IT sector in Russia. This paper is aimed at performing a dataset analysis of the risks for Russian IT companies amid the COVID-19 crisis. The sample contains the top 100 largest IT companies in Russia in 2020 and covers the data on these companies for 2019–2020. The influence of the COVID-19 crisis pandemic on the risks for IT companies in Russia is assessed with the help of the authors' methodological approach to the dataset analytics of companies' risks with the use of the method of trend analysis, analysis of variance and the hierarchical synthesis concept by T. Saaty. A specific feature of the authors' methodological approach is its taking into account of the pre-crisis level of risks for companies. Due to this, the authors' methodological approach allows for the most precise and correct determination of the scale and character of the influence of the COVID-19 pandemic and crisis on the risks for companies. The role of human resources in the management of risks for IT companies under the conditions of the COVID-19 pandemic and crisis in Russia is determined with the help of regression analysis; the regularity of the change in revenue, and the position of the company in the ranking (its competitiveness) in terms of the growth of the number of employees, are described mathematically. The key conclusions are that the influence of the COVID-19 pandemic and crisis on the risks for IT companies in Russia in 2020 was weak, and human resources played an important role in risk management. The theoretical significance of the paper lies in its rethinking of human resources management of Russian IT companies from the position of risk amid the COVID-19 crisis. The practical significance of the authors' conclusions lies in the discovery of the high risk resilience of Russian IT companies to the pandemic and the formation of their risk profile amid the COVID-19 crisis, in which the main, though low, risk is the risk of reduction in competitiveness, whilst the risk of reduction in revenue is minimal. [ABSTRACT FROM AUTHOR]

Our paper analyzes lessons for medical education and health education stemming from the experience gained in the course of the COVID-19 pandemic. Moreover, it tackles the issue of the social health and psychological wellbeing of medical students involved in online education during the COVID-19 pandemic. The paper systematizes up-to-date data on how medical schools and universities have adapted to the conditions of the COVID-19 pandemic and implemented novel effective solutions for the learning process, such as transitioning from traditional in-person classes to online learning, incorporating virtual simulations and telemedicine experiences for clinical training, and collaborating with health authorities to provide support in testing and contact tracing efforts. The paper contains an analysis of various aspects of medical education, such as the changes in practical classes, the impact of the pandemic on the formation of communication skills, methods for assessing students' knowledge and skills, and many others. It also considers case studies related to the implementation of educational programs, methodologies, and novel digital technologies in a pandemic. Additionally, the paper features an empirical study that is based on the results of our own survey that was carried out with the help of a snowball convenient sampling that involved 710 medical students between 19 and 25 years of age (56% females and 44% males) from 4 Russian regions (Moscow, Krasnodar, Kazan, and Saint Petersburg). We applied the correlation between stress scores, anxiety scores, factors of stress, and strategies for coping with stress and various economic and demographic variables (age, environment, and gender) that were analyzed using the chi-square test. Our results demonstrate that over 85% of the students in our sample yielded an above-average vulnerability to stress due to the COVID-19 restrictions. At the same time, around 61% of the students experienced severe anxiety during online education in the COVID-19 pandemic. The important factors leading to stress and anxiety were the fear of getting infected and social distancing, and the best strategy to deal with stress and increase wellbeing was self-control. Through a comprehensive review of the literature and empirical estimations, our paper identifies key areas of improvement, including curriculum adaptation, technology integration, faculty development, student support, and interprofessional collaboration. The proposed recommendations aim at strengthening medical education systems and preparing healthcare professionals to effectively navigate future pandemics. [ABSTRACT FROM AUTHOR]

Simple Summary: This paper is devoted to the study of the Lunaria rediviva population at the eastern border of its range (National Park "Smolny", Republic of Mordovia, Russia) in 2013–2018. Ontogenetic structure of the population has been identified by distinguishing juvenile, mature vegetative, and reproductive individuals. We found changes in the ontogenetic structure of the population from 2013 to 2018. The type of its population changed from vegetatively oriented to bimodal, with a decrease in proportion of mature vegetative individuals. We found a significant negative correlation between the fruit set and the moisture in mid-July, and wind strength in late May and early June. It was found that the number of both flowers and fruits per individual is significantly positively correlated with the precipitation in late April, and they are negatively correlated with these parameters and the temperature in late July. We assume that the habitat shading negatively influences the L. rediviva population status. Long-term studies of plant populations provide valuable knowledge on the influence of various environmental factors on plant species. The status of edge-range species populations is especially important to be studied due to their higher vulnerability to extinction. This paper aimed to study the Lunaria rediviva population at the eastern border of its range (National Park "Smolny", Republic of Mordovia, Russia). The study was carried out in 2013–2018. Assessment of the L. rediviva population was performed on the basis of individual parameters of plants (height of the individual, number of leaves per individual, number of inflorescences, flowers, fruits per one generative individual, and the fruit set), and density of individuals. Ontogenetic structure of the population was identified by distinguishing juvenile, mature vegetative, and reproductive individuals. The relationships between weather conditions (mean values of temperature, air moisture, wind strength, precipitation divided to three decades per month) and population parameters of L. rediviva were identified. Results showed changes in the ontogenetic structure of the population. The type of its population changed from vegetatively oriented to bimodal, with a decrease (R2 = 0.686) in the proportion of mature vegetative individuals. We demonstrated a significant decline in some parameters of the L. rediviva reproduction. We found a significant negative correlation between the fruit set and the moisture at mid-July (r = −0.84, p < 0.05), and wind strength in late May (r = −0.83, p < 0.05) and early June (r = −0.83, p < 0.05). It was found that the number of both flowers and fruits per individual is significantly positively correlated with the precipitation in late April, and they negatively correlated with these parameters and the temperature in late July. We assume that the habitat shading negatively influences the L. rediviva population status. [ABSTRACT FROM AUTHOR]

The paper endeavours to explore and analyse some critical issues in the oil and gas market that cropped up around the spread of COVID-19 and tries to identify the key drivers and triggers pertaining therewith. The spread of the first wave that began in March 2020 is crucial because of the global economic downturn that ensued due to lockdown and imposed restrictions coupled with a protracted oil price war that began between Saudi Arabia and Russia. The paper tries to address some key research questions to understand the triggers and drivers around the pandemic. These are: (1) whether the behaviour of OPEC or its key players around the pandemic could be considered uniquely different; (2) what could the triggers be for the increased volatilities that cropped up in both physical and financial markets during the pandemic; (3) what was really different about the oil market crisis around the pandemic that transformed it to an unprecedented storage crisis; (4) what really went wrong with the much-hyped U.S. shale boom during the pandemic that led to the bankruptcy of several oil and gas companies, followed by huge job losses. The paper relies on a structured review of relevant secondary literature to address these exploratory questions and builds upon a retrospective rumination on the world oil market from 1960 to 2020. This is complemented by an analysis of supporting data and evidence obtained from various sources. Considering the intertwining of oil and financial markets around the pandemic, the lessons and findings from the paper would not only be highly relevant for policymakers and stakeholders in the oil and gas sector but would be equally relevant for those in the financial markets. [ABSTRACT FROM AUTHOR]

The KLT-40S is a small modular reactor developed by Russia based on the KLT-40 reactor with two fuel assembly designs: a four-ring and a five-ring. Few studies have been published on fuel assembly and power-flattening designs for the KLT-40S. In this paper, the effects of different fuel assembly designs on burnup and power flattening are investigated. This paper compares the effects of the two fuel assembly designs of the KLT-40S on its burnup characteristics, analyzes the effects of fuel rod diameter on burnup characteristics, and conducts a computational study on the ideal power-flattening design. The results show that the five-ring fuel assembly design has better burnup characteristics than the four-ring fuel assembly design. At a fuel rod diameter of 0.62 cm, the optimal burnup lattice is obtained. The 15.84% + 19.75% power-flattening design (uranium enrichment in the innermost and outermost rings + uranium enrichment in inner rings) reduces the local power peaking factor of the five-ring fuel assembly below 1.11 throughout the lifetime. Therefore, the KLT-40S five-ring fuel assembly has better burnup characteristics, and its optimal burnup lattice is at the 0.62 cm fuel rod diameter. The use of power-flattening designs can effectively reduce the local power peaking factor. [ABSTRACT FROM AUTHOR]

National innovation systems (NIS) are generally perceived as a set of interconnected organizations (or structures) that domestically produce and commercially implement scientific knowledge and technology. The development of any national innovation system is the key element for shaping up the scientific values in every country. Our paper identifies the trends in global innovation and technological scope associated with the formation of global economic relations, global investment, the flow of knowledge, technology, increased internationalization of R&D, and the formation of global innovation networks. In addition, it attempts to trace the relationship between instrumental values associated with the perception of science and technology and the development of NIS within the context of sustainable economic development using a case study from Russia. The paper carries out the analysis of values on the basis of the World Values Survey (WVS), as well as statistical indicators characterizing the development of the national innovation system. The obtained quantitative results stemming from our empirical model are further refined with the help of qualitative research, including the narrative economics approaches. Our results might be beneficial for the stakeholders and policymakers working with innovation policies and approaches in business, economics, and education. [ABSTRACT FROM AUTHOR]

Our paper focuses on the role of e-government in relation to economic development within the post-COVID era. Nowadays, e-government represents the service which utilizes digital technology to create electronic pathways to improve the efficiency of public services, increase economic prosperity, and improve the standard of living. In this paper, we argue that e-government presents the only proper and viable model for public administration in the 21st century by embedding internet-based technologies to ensure smooth interactions between the government and its citizens, solving the most socially important problems, enabling internal communication between public servants, and delivering public services to the entire population regardless of age or gender. In addition, we show that stakeholders and policymakers should foster the development of an adequate and non-discriminatory environment for e-government through regulatory frameworks, policy guidelines, and government guarantees. Our study is based on the results of our own survey that was administered using a snowball and quasi-random sample of 400 respondents (aged 19–26 years; 56.2% females and 43.8% males) from the Czech Republic (N = 136) and the Russian Federation (N = 264), of whom 58% were women and 42% were men (M ± SD = 45.53 ± 11.46, median age 44). Our results show that the e-government enhancement concept has been perceived as an effective tool for fostering economic prosperity, tackling corruption, and helping to avoid uncertainty. Based on the theories of customer-focus and relationship marketing, this study suggests that the most significant factor influencing the success of e-government projects is citizen orientation, followed by channel and channel orientation, and technology orientation. We show that the governments of developing countries should prioritize e-government applications in their requests for international assistance and cooperation, as well as international financial support. Moreover, we argue that digital transformation should become the key element of the changing business and market needs in the post-COVID era. [ABSTRACT FROM AUTHOR]

Our paper focuses on the transformation of the concept of sustainable business leadership (especially regarding the Sustainable Development Goals (SDGs)) and corporate social responsibility (CSR) in the post-COVID-19 era. The COVID-19 pandemic is without question posing a generation-defining challenge for public health and the global economy. Moreover, the pandemic has revived some old and introduced many new threats that today's business leaders will have to face in the years to come. Despite the fact that the COVID-19 crisis was a humanitarian tragedy that continues to ravage millions of lives, it can also be viewed as an excellent opportunity to restart sustainable economic development as well as to help our business and economy to shift towards real business corporate social responsibility and ethical decision-making (thanks to the reduction in carbon emissions as a result of reduced economic activity and travel, increasing investments into healthcare and education, or finding the new ways for working and learning, such as remote work and online education). Our paper examines the effect of small entrepreneurs' perceptions of CSR on their daily business under the conditions of the COVID-19 pandemic. The paper features an empirical model that assesses the implementation of CSR practices and principles (social responsibility, environmental sustainability, or ecological governance) after the COVID-19 pandemic. The model investigates whether the factors internal to the company might influence the enhancement of the CSR principles. The model is based on our own data obtained from the 450 online questionnaire surveys conducted with managers of small and medium enterprises (SMEs) in the Czech Republic and the Russian Federation. The two countries in question have been selected due to their similarities and, at the same time, differences regarding their geopolitical orientation, pathways of economic transformation, and attitudes to sustainable development policies and embracing SDGs. Our results demonstrate that the business type, as well as the ownership structure, positively impacts the introduction of CSR and sustainable development principles in SMEs in question, while the company's age has a negative impact. Our results might be of special importance for the stakeholders and business owners wishing to enhance CSR practices and promote sustainable economic development in their enterprises in the post-COVID era. [ABSTRACT FROM AUTHOR]

This paper presents the results of studies in the field of polymer materials application for fabric modification. The aim of the study is to identify the most effective technique of deposition of Russian-made formulations of an acryl and urethane nature with pigment compositions in the processes of functional fabric production. The authors analyze the efficiency of three processing solutions: the technology of uniform dyeing with pigments consisting of coating the fabric surface with a pigment–polymer composition, the technology of obtaining "camouflage" fabrics based on a conceptually new approach to creating the IR-remission effect on printed fabrics, and the technology of creating a stable retro-reflective effect on a fabric through the use of polymers produced in Russia. The paper also shows the conceptual differences in the pigment distribution mechanisms in the fiber or in the polymer matrix depending on the technique of fabric coating. The cheapest and safest technique for the environment is the squeegee method of pigment application, which provides fabrics with both oil- and water-repellent properties. An innovative technology has been developed based on the squeegee method for achieving the IR-remission effect on fabrics with "camouflage" patterns. A series of physico–chemical tests (spectrophotometry, electron microscopy), as well as assessment of the consumer properties of the obtained textile materials confirmed the efficiency of using aqueous dispersions of acrylic polymers made in Russia for producing competitive functional fabrics. [ABSTRACT FROM AUTHOR]