https://dspace.ncfu.ru/handle/20.500.12258/52 2026-09-25T03:20:43Z https://dspace.ncfu.ru/handle/123456789/34234 Title: Modeling the Deployment of Emergency Repair Crews in Power Distribution Networks Following Severe Weather Events Authors: Khorol’skii, V. Y.; Хорольский, В. Я. Abstract: We formulate and solve an optimization problem to determine the number of additional repair crews required to mitigate widespread outages in power distribution networks caused by severe weather events. The problem is treated within queueing theory, with the arrivals of service requests modeled as a nonstationary and non-ordinary process, which is the key feature of the approach.We develop an algorithm and software for computing two performance measures used in the objective: (i) the probability of completing a given number of requests within a specified time budget, and (ii) crew utilization. A case study demonstrates the application of the approach. 2025-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/34233 Title: Lactobacilli Strains with Targeted Technological Properties in Sour-Cream Butter Biotechnology Authors: Evdokimov, I. A.; Евдокимов, И. А. Abstract: Dairy products can be fortified with new valuable strains of probiotic lactobacilli. This research tested two new lactobacilli strains for prospects in sour-cream butter production. The lactobacilli strains of Lactobacillus plantarum and Enterococcus hirae were selected at the Research Institute of Biotechnology, Gorsky State Agrarian University. The study also involved a symbiotic starter based on these strains, cow’s milk cream, and sour-cream butter. The quality indicators were assessed using a Klever milk analyzer and a set of standard methods: physicochemical indicators for the cream, clot formation rate and pH for the lactobacilli, and sensory, physicochemical, and microbiological indicators for the butter. The study revealed the sensory and physicochemical profile of the cream, the curding rate and the pH rate of the sour-cream during cultivation, and the physicochemical parameters of the resulting sour-cream butter. It took the symbiotic starter of L. plantarum and E. hirae (1:1) 6 h to curd at an acidity of 68.00 °T; L. plantarum curded in 6 h at 56.00 °T; E. hirae curded in 7 h at 65.00 °T. The maximal acid-forming capacity of L. plantarum was 323 °T (6 days of incubation), that of E. hirae was 170 °T (5 days), and that of the symbiotic culture was 220 °T (4 days). The technology of producing sour-cream butter included pasteurization, cooling, heating, adding starter (L. plantarum and E. hirae), churning, processing butter granules, and shaping. The sour-cream butter sample produced with the symbiotic starter contained 25.2% moisture and 71.4% fat; it had a caloric value of 665.0 kcal. It was yellow, dense, and shiny, with a characteristic sour-cream taste and smell. The experimental sour-cream butter demonstrated excellent sensory indicators and could be recommend for industrial production with strains of L. plantarum and E. hirae in a ratio of 1:1. 2025-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/34232 Title: CHANGES IN URBAN EVERYDAY LIFE UNDER COLLECTIVIZATION CONDITIONS (BY THE EXAMPLE OF THE STALIN COLLECTIVE FARM IN THE CITY OF STAVROPOL IN THE NORTH CAUCASUS KRAI) Authors: Ambartsumyan, K. R.; Амбарцумян, К. Р.; Bulygina, T. A.; Булыгина, Т. А. Abstract: Introduction. The understanding of urban everyday life during Soviet modernization is deepened in contemporary studies with an account of Stavropol’s experience of daily routine. The relevance of the topic stems from active development of such fields as the history of urban everyday life and intellectual history, as well as new local history, which allows us to understand the regional dimension of Soviet history. Methods and materials. The paper aims to study the process of transformation of everyday life in the city of Stavropol under the influence of collectivization at the turn of the 1920s and 1930s. For the first time, a set of archival materials dedicated to the creation of the Stalin collective farm and stored in collection 329 of the State Archives of the Stavropol Krai is introduced into scientific circulation. The basic approach, along with traditional methods of history, was new local history. The main sources were official documents: applications for membership and withdrawal from the collective farm, as well as minutes of board meetings of the artel or individual sectors. Analysis. With the launch of collectivization, the main trend in urban everyday life was the outflow of peasants to cities. The case was different in Stavropol. Here, the urban socio-cultural space was traditionally intertwined with the features of rural life. Therefore, under the conditions of collectivization, three collective farms emerged in the urban area. One of them is the Stalin collective farm, which existed from 1929 to 1957. Different aspects of the everyday life of city dwellers, motives for joining and leaving the collective farm, and various domestic difficulties have been studied. Collective farm establishment was carried out under the guidance of the city council, from the decision to use city property, city land, and city premises. In addition, not only city farmers joined the collective farm but also city residents: workers and employees. Results. In terms of everyday life, collectivization had a specific manifestation in Stavropol. The city demonstrated a special way of Soviet urban everyday life as the urban population became collective farmers with their own unique way of life. 2026-01-01T00:00:00Z https://dspace.ncfu.ru/handle/123456789/34231 Title: Detection of anomalous electricity consumption by customers in a Russian region based on robust spectral clustering Authors: Lyakhov, P. A.; Ляхов, П. А.; Kononov, Y. G.; Кононов, Ю. Г.; Orazaev, A. R.; Оразаев, А. Р.; Shidov, A. G.; Шидов, А. Г. Abstract: This paper presents a robust method for detecting anomalous electricity consumption using spectral clustering, tailored for real-world smart meter data from a Russian region. The study analyzes hourly readings from 1745 customers in the North Caucasus, specifically addressing challenges like significant data gaps and zero values. Our three-stage method involves constructing aggregated consumption profiles (daily, weekly, monthly), filtering out customers with negligible consumption, and applying spectral clustering with t-SNE visualization. This approach effectively categorizes customers into three distinct groups: those with stable load profiles, anomalous consumption, and insignificant consumption. The highest clustering quality was achieved using the filtered monthly consumption profile, with a Davies-Bouldin Index of 0.9741 and a Silhouette Coefficient of 0.4535. The results confirm the method's effectiveness for monitoring and analyzing electricity consumption. The developed universal method is applicable to any energy consumption dataset. Furthermore, we provide an open dataset of 27-month hourly consumption data from customers to support further research in electricity theft detection. The proposed method serves as an efficient preliminary screening tool to identify suspicious customers for subsequent expert verification. 2026-01-01T00:00:00Z