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Objective: to assess the epidemic situation of echinococcosis in the period 2012–2022 in the endemic territories of the Far Eastern Federal District and South of Russia.Materials and methods: based on the data of the annual statistical reporting forms No. 2 "Information on infectious and parasitic diseases", data from the Reference Center for Monitoring Larval Helminthiasis of Rostov Research Institute Microbiology and Parasitology of Rospotrebnadzor, an analysis of the incidence of echinococcosis in the territories of the Far East and South of Russia in the period 2012–2022 was carried out. For seroepidemiological examination of a conditionally healthy population by the ELISA method, the diagnostic kit "Echinococcus-IgG-ELISA-BEST" (JSC "Vector-Best", Novosibirsk) was used.Results: it is shown that the epidemiological situation of echinococcosis is characterized by pronounced territorial unevenness. In the south of Russia, epidemiological problems with echinococcosis persisted in Kalmykia (0.74–2.19 cases per 100,000 population) and in the Astrakhan region (0.60–1.48 cases per 100,000 population). Among the relatively healthy population, the average seropositivity to E.granulosus antigens in the Far East was 5.8%, in the south of Russia — 2,6%. Conclusions: the data obtained indicate an unfavorable epidemiological situation for echinococcosis in a number of regions of the Far East and South of Russia.

The article examines the subject code of the Russian spell tradition using the example of a group of ritual objects of wood origin. This group has received insufficient attention in research, as evidenced by a brief review of the literature. The material for the analysis is the main publications of Russian conspiracies, as well as field materials recorded by the author in the period from 2003 to 2023 in the Omsk Irtysh region. The purpose of this work is to determine the semantic field of a group of wood objects in Russian spells, as well as to identify the relationship between a ritual object and its verbal and symbolic embodiment. The main method of research – historical-typological – allows us to draw typological parallels in order to clarify the boundaries of the semantic field, which includes ritual objects of the group being studied. The article also implements complex and cross-genre approaches. The analysis showed the widespread use of ritual objects of wooden origin in the Russian charm tradition. Objects are included in the text of the conspiracy as independent images and can be used relatively independently of the verbal component of the conspiracy. The semantics of the ritual object is in accordance with the functional and thematic orientation of the spell and is determined by its content. An examination of two objects – a bitch and a sliver – revealed an expansion of their functions and semantic field in in Russian spells of Siberian. This conclusion determines the direction of further research into spells paraphernalia in the aspect of the mutual influence of aboriginal and settler traditions.

The effect of salt stress (150 mM NaCl) on the expression of genes, methylation of their promoters, and enzymatic activity of glutamate dehydrogenase (GDH), glutamate decarboxylase (GAD), and the 2-oxoglutarate (2-OG)–dehydrogenase (2-OGDH) complex was studied in maize (Zea mays L.). GDH activity increased continuously under salt stress, being 3-fold higher after 24 h. This was accompanied by the appearance of a second isoform with lower electrophoretic mobility. The expression of the Gdh1 gene strongly increased after 6–12 h of incubation, which corresponded to the demethylation of its promoter, while Gdh2 gene expression slightly increased after 2–6 h and then decreased. GAD activity gradually increased in the first 12 h, and then returned to the control level. This corresponded to the increase of Gad expression and its demethylation. Salt stress led to a 2-fold increase in the activity of 2-OGDH during the first 6 h of NaCl treatment, then the activity returned to the control level. Expression of the genes Ogdh1 and Ogdh3 peaked after 1–2 h of incubation. After 6–8 h with NaCl, the expression of these genes declined below the control levels, which correlated with the higher methylation of their promoters. We conclude that salt stress causes a redirection of the 2-OG flux to the γ-aminobutyric acid shunt via its amination to glutamate, by altering the expression of the Gdh1 and Gdh2 genes, which likely promotes the assembly of the native GDH molecule having a different subunit composition and greater affinity for 2-OG.

The purpose of the article was to consider the possibilities of a modern school in the prevention of risky behavior of adolescents. The focus of the research seems relevant due to the fact that the scientific solution meets the urgent needs of the practice of organizing these activities and fills a certain gap in modern research in overcoming risky behaviors of the younger generation. Methods of comparative analysis of psychological and pedagogical scientific sources were used in the preparation of the material, theoretical analysis of monographic and dissertation materials, documentation on the problems of research using generalization, comparison, systematization and modeling was carried out. The article considers a possible field of prevention of risky behavior at school, which lies at the intersection of three components of the environment of an educational organization. These include motivational-value (formation of factors that stimulate subjects of prevention to obtain a predictable positive result), social-subjective (formation of factors that contribute to the formation and development of subjectivity of adolescents in academic, extracurricular, extracurricular work, additional education, self-government, amateur activity), actualization – creative (formation of factors of creative realization of a teenager, aimed at on the formation of the ability to constructive risk) components. As a result, the author came to the conclusion that it is possible to achieve the predicted result of prevention of risky behavior of adolescents using the capabilities of a modern school resulting from the creation and replenishment of its components.

Indicators that reflect the transition from unemployment to employment are an important element of the monitoring systems of employment services in EU countries. Monitoring employment trends is a complex task that usually goes beyond quantitative parameters. The correct application and interpretation of the indicators is inseparable from contextual phenomena, and the use of comparative analyses at different scales, e.g. time, territory, makes it possible to increase the informativeness of this indicator. The aim of the paper is to identify, on the basis of the available data, the trends in the transition from unemployed to employment at the national and territorial level, and to forecast possible shirt-term development scenarios for the selected jobplacement indicators. The methodological part of the paper assesses the links between unemployment trends and jobplacement indicators. The methodological approach to the assessment of differentiation of jobplacement indices are described there. On the basis of the data from the customer service units of the national Employment Service, an analysis of the spatial distribution of the transition of the registered unemployed to employment was conducted. The forecast of the indicators was based on short-term historical data from the customer service units and economic context variables. In the face of relatively unfavourable forecasts for the EU economic situation, the paper presents the assumptions for changes in the situation on the Lithuanian labour market in the short term.

Introduction. Rabbit hemorrhagic disease is an acute highly contagious infection associated with two genotypes of pathogenic Lagovirus. Antibodies to major capsid protein (Vp60) are protective. The aim of the work ‒ is an evaluation of antigenic and immunogenic activity of virus-like particles (VLPs) based on recombinant major capsid proteins of both genotypes of rabbit hemorrhagic disease virus (RHDV) (recVP60-GI1 and recVP60-GI2). Materials and methods. Baculovirus-expressed VLPs were evaluated using electron microscopy and administered to clinically healthy 1.53 month old rabbits in a dose of 50 g. Rabbits were challenged with 103 LD50 of virulent strains Voronezhsky-87 and Tula 21 days post immunization. Serum samples were tested for the presence of RHDV-specific antibodies. Results. VLPs with hemagglutination activity forming VLP 3040 nm in size were obtained in Hi-5 cell culture. Specific antibody titers in rabbits measured by ELISA were 1 : 200 to 1 : 800 on 21th day post immunization with VLPs. Immunogenic activity of recVP60-GI1 VLPs was 90 and 40%, while it was 30 and 100% for recVP60-GI2 VLPs after the challenge with RHDV genotypes 1 and 2 respectively. The immunogenicity of two VLPs in mixture reached 100%. Discussion. VLPs possess hemagglutinating, antigenic and immunogenic activity, suggesting their use as components in substances designed for RHDV specific prophylaxis in rabbits. Results of the control challenge experiment demonstrated the need to include the antigens from both RHDV genotypes in the vaccine. Conclusion. Recombinant proteins recVP60-GI1 and recVP60-GI2 form VLPs that possess hemagglutinating an antigenic activity, and provide 90100% level of protection for animals challenged with RHDV GI1 and GI2 virulent strains.

Sentiment analysis is a relevant task in natural language processing, which is often conducted on Internet texts to analyze reviews of products, services, posts, and comments on social media. Unlike most studies, our work focuses on literary texts in the Russian language written during the emotionally charged period of the early 20th century, when a change in the Russian political system and a fundamental shift in society's way of life occurred as a result of socio-economic upheavals such as wars and revolutions. It is assumed that literary texts from this period should also be rich in emotional vocabulary. The main goal of the research described in this article is to study the correlation between the results of sentiment analysis, performed on the material of Russian short stories using several automatic methods, and the average expert evaluation of the emotions that these same texts evoke in modern readers. The results of the study contribute to understanding the evaluative component of literary works vocabulary and can also be used to build recommendation systems aimed at selecting literary texts for readers.

Few studies have explored the learning opportunities different audiovisual genres may create for vocabulary learning. Even fewer have looked at how learners' viewing experience is affected by individual differences (IDs) in vocabulary size, attention, inhibition, or working memory. Such IDs have been shown to mediate early and long-term vocabulary learning (Gass, Winke, Isbell, & Ahn, 2019; Kam, Liu, & Tseng, 2020; Peters & Webb, 2018). This exploratory study seeks to analyze how vocabulary is acquired under different genres and how this process may be influenced by the IDs mentioned above. Forty-one students of English as a foreign language (EFL) participated in an experiment involving the viewing of four TV genres (sitcom, police procedural, animal documentary, and edutainment). Meaning recognition task was applied at the pretest and posttest, and form recognition at the posttest only. Prior to viewing, students took four cognitive tests related to vocabulary size, attention control, inhibition, and working memory. Results suggest vocabulary size had the largest impact on the participants' performance at pretest and posttest, although its relative weight varied across genres. A nonsignificant or much lesser role was played by working memory, attention, and inhibition. Results are discussed regarding what genre might create the most beneficial conditions for vocabulary learning and how IDs influence such learning.

The paper is devoted to the task of searching for mentions of green practices in social media texts. The relevance of this task is dictated by the need to expand existing knowledge about the use of green practices in society and the spread of existing green practices. This paper uses a text corpus consisting of the texts published on the environmental communities of the VKontakte social network. The corpus is equipped with an expert markup of the mention of nine types of green practices. As part of this work, a semi-automatic approach is proposed to the collection of additional texts to reduce the class imbalance in the corpus. The approach includes the following steps: detecting the most frequent words for each practice type; automatic collecting texts in social media that contain the detected frequent words; expert verification and filtering of collected texts. The four machine learning models are compared to find the mentions of green practices on the two variants of the corpus: original and augmented using the proposed approach. Among the listed models, the highest averaged F1-score (81.32%) was achieved by Conversational RuBERT fine-tuned on the augmented corpus. Conversational RuBERT model was chosen for the implementation of the application prototype. The main function of the prototype is to detect the presence of the mention of nine types of green practices in the text. The prototype is implemented in the form of the Telegram chatbot.

The paper discusses the possibilities of applying modern natural language processing technologies of opinion mining to investigate and improve the user experience of online-courses students. We analyzed 27 000 student reviews of projects within the Python programming language course. First, we applied keyword extraction algorithms as a way of semantic compression to receive a generalized picture of what users main impressions are. Then we performed sentiment analysis to understand the feelings of students towards the learning process. The used methodology proved to be effective for analyzing user experience and allowed to find out some discrepancies between information in project descriptions and what users' reflection on the project. Two instruments of SA were applied to receive data on users' feelings in general.

While the population is ageing fast in Lithuania the possible ways of adaptation of older people in labour market should be analysed thoroughly. A small private company operating in the sector of electric installation was selected as a case. Analysis was aimed to reveal the main sector-specific enterprise-level factors for participation in labour market after the official retirement age. Paper presents both employee’s and employer’s perspectives on sustainable employment. The case study presents the experience of the 72 years old electrician and the employer’s undertakings to encourage older workers to continue their careers. The data from the micro-level are analysed within the socio-economic context of the country. The case study shows that a long career is probable when both the business and the employees benefit from it, and the employee’s health condition is satisfying. From the employer’s perspective, the benefits derived from the employment of the high-skilled, experienced, and reliable workers; and from the older employee’s perspective, such aspects as self-realisation and favourable conditions at the workplace have a great value.

The article describes the results of the research, the purpose of which was to evaluate the influence of linguistic preprocessing on the interpretability of topic models for literary texts. The study was carried out as part of a large project aimed to obtain topic models of Russian short stories written in the first three decades of the 20th century and divided into three successive historical periods: 1) the period of the beginning of the century before the First World War (1900-1913), 2) the time of acute social cataclysms, wars and revolutions (World War I, the February and October revolutions, and the Civil War) (1914-1922), and 3) the early Soviet period (1923-1930). The material of the study was 3 samples of different sizes for each period, containing 100, 500 and 1000 short stories each. Preprocessing included lemmatization using spaCy library and four POS-filtering options: 1) nouns only, 2) nouns and verbs, 3) nouns, adjectives, adverbs, verbs, and 4) no filtering. Using the latent Dirichlet allocation (LDA), 36 thematic models were built (9 models for each preprocessing option). The research showed that in case of literary texts topic models built without any POS filters are the most interpretable. The study made it possible to obtain information about topic diversity of Russian short stories, to assess their expert interpretability, and to offer some recommendations for optimizing topic modeling, which are to be used in the development of artificial intelligence systems that process large volumes of literary texts.

The effect of salt stress (150 mM NaCl) on the expression of genes, methylation of their promoters, and enzymatic activity of glutamate dehydrogenase (GDH), glutamate decarboxylase (GAD), and the 2-oxoglutarate (2-OG)–dehydrogenase (2-OGDH) complex was studied in maize (Zea mays L.). GDH activity increased continuously under salt stress, being 3-fold higher after 24 h. This was accompanied by the appearance of a second isoform with lower electrophoretic mobility. The expression of the Gdh1 gene strongly increased after 6–12 h of incubation, which corresponded to the demethylation of its promoter, while Gdh2 gene expression slightly increased after 2–6 h and then decreased. GAD activity gradually increased in the first 12 h, and then returned to the control level. This corresponded to the increase of Gad expression and its demethylation. Salt stress led to a 2-fold increase in the activity of 2-OGDH during the first 6 h of NaCl treatment, then the activity returned to the control level. Expression of the genes Ogdh1 and Ogdh3 peaked after 1–2 h of incubation. After 6–8 h with NaCl, the expression of these genes declined below the control levels, which correlated with the higher methylation of their promoters. We conclude that salt stress causes a redirection of the 2-OG flux to the γ-aminobutyric acid shunt via its amination to glutamate, by altering the expression of the Gdh1 and Gdh2 genes, which likely promotes the assembly of the native GDH molecule having a different subunit composition and greater affinity for 2-OG. [ABSTRACT FROM AUTHOR]

The degradation of polylactide (PLA) films of different structures under conditions of controlled composting has been studied. We have demonstrated that PLA underwent degradation within one month in a substrate that simulated standard industrial composting. Regardless of the initial structure of the samples, the number-average molecular weight (Mn) decreased to 4 kDa while the degree of crystallinity increased to about 70% after 21 days of composting. Addition of an inoculant to the standard substrate resulted in the accelerated degradation of the PLA samples for one week due to an abiotic hydrolysis. These findings have confirmed that industrial composting could solve the problem of plastic disposal at least for PLA.

Budget mobilization and improvements in the quality of tax administration are always among the top priorities for fiscal authorities. During periods of instability the role of tax compliance and budget execution increases even more. Times like these require quick analysis and adaptation of the tax system to changing economic conditions, and do not always allow conventional scientific approaches to be used in the analysis of tax collection. Fiscal authorities are faced with the need to create relatively simple tools for assessing that would allow one to analyze revenues with a minimum set of data and to assess the efficiency of the tax authorities taking into account changes in the macroeconomic environment. The integral index of collection presented in this work can help solve this problem. The essence of the approach is to analyze the coherence of two dynamics: actual tax receipts and their proxy tax base. The methodical advantages of the proposed indicator are its relative simplicity and versatility. It is applicable for most of the tax and non-tax payments and can be used both independently and in conjunction with other indicators of tax collection completeness. The above makes the index a convenient tool for quick analysis at different stages of the budget process—it can be useful not only for ex-post understanding of trends in budget revenues execution and tax administration dynamics, but also for improving the accuracy of budget forecasts ex-ante.

A significant part of modern technologies associated with the development of artificial intelligence systems and digital analytics of diverse data relies on methods of computer text processing (NLP, speech technologies). However, NLP methods are applied primarily to specialized texts, such as scientific literature, technical documentation, news, etc., or social media discourse; fiction texts being usually left out of the focus of NLP practitioners as the fictional world seems to be of less significance or less information value from a practical point of view. Moreover, due to the poetic and metaphorical nature of literary texts, the use of some NLP methods (e.g., topic modeling) for fiction analysis turned out to be more complicated. At the same time, the influence of literature both on the consciousness of individuals and on the formation of social values can hardly be overestimated. Besides, making computers understand fiction in a similar way as humans do would be a real challenge for artificial intelligence. The article puts forward the idea of modeling thematic areas of literature on a national scale, which should reveal the main thematic domains of national literature as a whole. It will allow a better understanding of the cultural traits of the national consciousness in a given historical period and contribute to either literary studies and practical tasks. Methodological approaches to determining and modeling themes of literary works are considered, technical difficulties arising in the process are described, and the ways to solve them are suggested. The proposed methodology has been implemented in the design of the Russian short stories corpus (the first third of the 20th century) and can be applied in the development of artificial intelligence systems that process large volumes of literary texts in any language.

According to observation data obtained at the drinking water intake in the Kamyanske reservoir in the village of Auly, the basic patterns of water blooming were specified. Water abstraction in here is performed from the depth of 8-9 m, which roughly corresponds to a mid-point of the maximum depths. It was determined that the number of algae per unit volume is very large - significantly higher than at the water intake of the Dnieper Water Supply Station (DWSS), which is located in the downstream of the Kyivska HPP. In some cases, it may exceed 1000 million in 1 dm3. During the study period, a decrease in algae amount was recorded, mainly, starting from 2018. The largest algae amount per a volume unit is usually observed in September, i.e. later than in the surface layer of water. The largest algae amount was recorded in September of 2010 and 2014. The factors that contributed to the development of algae at this time are given. Such factors were primarily high air and water temperatures, as well as low cloud cover. There is some delay in changing weather conditions. From June to November, blue-green algae are dominant in the water intake in the village of Auly, the share of which in August-October reaches 95-99%. From December to April, diatomic algae are dominant. The share of green algae is the highest in summer, but it does not usually exceed 2-3% of the total. The significant development of algae in the Kamyanske Reservoir is confirmed by remote sensing data. According to satellite data, it was found out that in this reservoir the largest blooming is observed in the place of water intake location. The dependence of water blooming on hydrometeorological conditions, in particular the direction of wind currents is also shown. The dominance of the northeast wind over the Kamyanske Reservoir in the summer causes a wind setup to the water intake, which results in the increase in the number of algae cells per volume unit.

Currently, the heterogeneity of economic space, relatively low development rates and negative trends in the socio-economic development of individual territories, and limited resource opportunities (including investment opportunities) are among the significant problems of municipalities. One of the mechanisms for solving them at the level of local government bodies is the institution of inter-municipal cooperation. The aim of the paper is to analyze the possibilities of territorial and sectoral inter-municipal cooperation aimed at overcoming the negative imbalances of the region's investment development (based on a case study of the Vologda region). The methods of cluster analysis and time series analysis were used, as well as tabular and graphic methods for the visual representation of the study results, the application packages MS Excel and STATISTICA. The paper examines the main trends in the development of inter-municipal cooperation processes in the Russian economy, identifies the specifics of the interaction of municipal entities in the Vologda region, and presents a territorial and sectoral approach to the development of different forms of cooperation based on the example of the Vologda region. The obtained results can be used by regional and local authorities in the development of investment policy, the formation of a system of organizational and economic mechanisms for the intensification of investment processes in the region. The study materials presented in the paper may be interesting for scientific discussion, for use in scientific and educational activities.