http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4020 2026-04-23T18:21:41Z http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4230 Title: The Mathematical Model for Thiabendazole Electrochemical Determination in Pharmaceutical Formulations, Biological Liquids and Food Products Authors: Tkach, Volodymyr; Morozova, Tetiana; Hlukhonets, Oksana; Khorkova, Halyna; Kushnir, Marta; de Oliveira, Sílvio; Biryuk, Igor; Sykyrytska, Tetiana; Ivanushko, Yana; Yagodynets, Petro; da Silva, Adriano; Garcia, Jarem; da Paiva Martins, José Inácio Ferrão; Melnyk, Oleg; Melnyk, Oleksii; Melnyk, Maria; Monteiro, Maria João; de Mascarenhas, Gaivão Isabel O´Neill; Hordiienko, Liudmyla; Omelyanchik, Liudmyla; Luganska, Olga; Omelyanchik, Volodymyr; Krasko, Mykola; Паламарек, Каріна Вікторівна / Palamarek, Karina; Вдовічен, Анатолій Анатолійович / Vdovichen, Anatolii; Вдовічена, Ольга Геннадіївна / Vdovichena, Olha; Safarzoda, Ramazon Abstract: In this work, the electrochemical determination of thiabendazole in pharmaceutical formulations, biological liquids, and food has been described using a mathematical model, which was thereby analyzed using linear stability theory and bifurcation analysis. Three scenarios, including Noxidation, S-oxidation, and electropolymerization, have been included in the model. The model analysis shows that, despite the presence of the electropolymerization scenario and the increase in the probability of oscillatory behavior, the electroanalytical process, performed anodically on copper sulfide nanoparticles, is efficient and may be used for both electrochemical determination and excess removal of thiabendazole. As for poly(thiobendazole), it is suitable for the determination and removal of heavy metal ions. 2026-01-01T00:00:00Z http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4223 Title: Adaptive and Sustainable Supply Chain Management under Systemic Instability: Evidence from the COVID-19 Pandemic and the Ukraine Conflict Authors: Mukha, Taras; Smyrnov, Ihor; Чичун, Валентина Андріївна / Chychun, Valentyna; Parkhomenko-Kutsevil, Oksana; Sysoiev, Volodymyr Abstract: The analytical examination will concentrate on elucidating transformations within supply chain management systems precipitated by crisis phenomena spanning the period from 2020 through 2024. The principal objective of this investigation is to conduct a comparative assessment of adaptive strategies employed by logistics systems under the conditions of both the COVID-19 pandemic and armed conflict in Ukraine. The methodological framework underpinning this research is grounded in a comprehensive approach that synthesizes quantitative examination of statistical indicators with qualitative evaluation of managerial practices. The results of the study demonstrate fundamental differences in the mechanisms of supply chain adaptation to different types of crises. The COVID-19 pandemic allowed for gradual adaptation with the possibility of recovery planning: companies had time to reorganize routes, search for alternative suppliers, and implement digital solutions. Military operations in Ukraine required an immediate response and a radical restructuring of logistics networks: companies were forced to move warehouses, change transportation corridors and ensure the safety of their staff within days. According to an analysis of sea freight rates, the cost of container transportation increased from $2,100 in July 2020 to $1,200 in November 2021. In the structure of Ukrainian imports in 2022, road transport accounted for 64% of the total value of all imported transportation, while in 2021 this figure did not exceed 35%. According to international technology reports, the introduction of digital twins in supply chain management increased from 5% of companies in 2020 to 34% in 2024, and the use of blockchain technologies increased from 8% to 35%, respectively. A conceptual model of adaptive management has been developed that integrates early warning systems and rapid response mechanisms. The study forms a new paradigm of management in the context of permanent instability. 2026-01-01T00:00:00Z http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4091 Title: AI as a driver of digital platform development in the Ukrainian economy: focus on small and medium-sized Authors: Petko, Stanislav; Вдовічен, Анатолій Анатолійович / Vdovichen, Anatolii; Вдовічена, Ольга Геннадіївна / Vdovichena, Olha; Королюк, Юрій Григорович / Koroliuk, Yurii; Лошенюк, Ірина Романівна / Losheniuk, Iryna / Loshenyuk, Iryna Abstract: This work analyzes the evolution of the digital platform using artificial intelligence in the Ukrainian economy. Particular emphasis is placed on Small and Medium Enterprises (SMEs). For this purpose, a mixed-method approach was adopted. It combined quantitative and qualitative methods. The quantitative prospect was effectuated using a structured survey targeting SME owners, co-founders, operations managers, and heads of marketing, logistics, customer support, and finance. The qualitative part concerned semi-structured interviews with SME decision-makers. The results demonstrated that while artificial intelligence (AI) has significantly improved operational efficiency and digitalization in Ukrainian SMEs, its effectiveness is constrained by financial, technical, and regulatory obstacles. Nonetheless, context-specific drivers of digitalization enable gradual, pragmatic adoption, with measurable benefits emerging even under cautious and uneven integration. The study concludes that AI plays a pragmatic yet limited role in driving digital transformation among Ukrainian SMEs. Description: Scopus ; https://www.scopus.com/pages/publications/105033665928 2026-01-01T00:00:00Z http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/4029 Title: Innovative Post-war Recovery Plan for Ukraine: Demographic Challenges, Growth Drivers, Cybersecurity Authors: Лучик, Світлана Дмитрівна / Luchyk, Svitlana; Маначинська, Юлія Анатоліївна / Manachynska, Yulia; Лучик, Маргарита Василівна / Luchyk, Marharyta Abstract: The post-war reconstruction of Ukraine necessitates the restoration and rebuilding of its national economy, severely impacted by the conflict. The reconstruction and recovery processes require substantial financial, material, and human resources, all of which are limited. The deepening demographic crisis and intensified external migration, particularly among young people, have highlighted the urgency of digitally transforming the national economy. This transformation involves high-tech production, innovative approaches, and modernizing all economic sectors using information and communication technologies. It also includes automating and optimizing routine processes where human involvement is limited or unnecessary. This article aims to assess the current state of human and labor resources in Ukraine, determine the role of digital transformation in post-war economic recovery, and develop recommendations for staffing economic sectors with highly qualified personnel, considering labor market challenges. The scientific research was conducted using general scientific methods, including analysis and synthesis, analogy and modeling, abstraction and concretization, as well as system and graphical analysis. The increasing proportion of pre-retirement and retirement-age individuals in the workforce necessitates raising the age threshold for employees and job seekers. The state and businesses must act proactively to leverage the value of aging workers, lest labor productivity decline and negatively impact economic growth. To meet domestic labor market needs, it is crucial to engage people with disabilities, adapt veterans, and encourage the inclusion of internally displaced persons. Additionally, efforts should focus on attracting foreign specialists and labor migrants willing to contribute to value creation in Ukraine. Improving education quality and expanding training programs in modern digital and information-communication technologies, artificial intelligence, cybersecurity, and information protection are essential for the population, particularly older age groups. Description: https://www.scopus.com/pages/publications/105026925797 2026-01-01T00:00:00Z