DSpace Community:http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/30342026-04-23T15:01:27Z2026-04-23T15:01:27ZThe Mathematical Model for Thiabendazole Electrochemical Determination in Pharmaceutical Formulations, Biological Liquids and Food ProductsTkach, VolodymyrMorozova, TetianaHlukhonets, OksanaKhorkova, HalynaKushnir, Martade Oliveira, SílvioBiryuk, IgorSykyrytska, TetianaIvanushko, YanaYagodynets, Petroda Silva, AdrianoGarcia, Jaremda Paiva Martins, José Inácio FerrãoMelnyk, OlegMelnyk, OleksiiMelnyk, MariaMonteiro, Maria Joãode Mascarenhas, Gaivão Isabel O´NeillHordiienko, LiudmylaOmelyanchik, LiudmylaLuganska, OlgaOmelyanchik, VolodymyrKrasko, MykolaПаламарек, Каріна Вікторівна / Palamarek, KarinaВдовічен, Анатолій Анатолійович / Vdovichen, AnatoliiВдовічена, Ольга Геннадіївна / Vdovichena, OlhaSafarzoda, Ramazonhttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/42302026-04-21T15:26:16Z2026-01-01T00:00:00ZTitle: 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.2026-01-01T00:00:00ZAdaptive and Sustainable Supply Chain Management under Systemic Instability: Evidence from the COVID-19 Pandemic and the Ukraine ConflictMukha, TarasSmyrnov, IhorЧичун, Валентина Андріївна / Chychun, ValentynaParkhomenko-Kutsevil, OksanaSysoiev, Volodymyrhttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/42232026-04-15T17:36:29Z2026-01-01T00:00:00ZTitle: 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.2026-01-01T00:00:00ZAI as a driver of digital platform development in the Ukrainian economy: focus on small and medium-sizedPetko, StanislavВдовічен, Анатолій Анатолійович / Vdovichen, AnatoliiВдовічена, Ольга Геннадіївна / Vdovichena, OlhaКоролюк, Юрій Григорович / Koroliuk, YuriiЛошенюк, Ірина Романівна / Losheniuk, Iryna / Loshenyuk, Irynahttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/40912026-04-14T10:08:53Z2026-01-01T00:00:00ZTitle: 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/1050336659282026-01-01T00:00:00ZEmpirical Examination of Inflation's Influence on Economic Growth: Trends, Mechanisms, and Predictive InsightsPetrukha, NinaHromyka, OleksiiArtomova, AnastasiiaМільман, Леонід Михайлович / Milman, LeonidSafonik, Nataliiahttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/40322026-03-06T07:07:01Z2025-01-01T00:00:00ZTitle: Empirical Examination of Inflation's Influence on Economic Growth: Trends, Mechanisms, and Predictive Insights
Authors: Petrukha, Nina; Hromyka, Oleksii; Artomova, Anastasiia; Мільман, Леонід Михайлович / Milman, Leonid; Safonik, Nataliia
Abstract: The primary objective of this article is to conduct a comprehensive empirical analysis to investigate the influence of inflationary processes on economic development. The authors of this article employ a statistical approach to furnish a comprehensive empirical analysis of the impact of inflationary processes on economic development. This study examines the Consumer Price Index (CPI) in EU-27 countries from 1999 to 2022, culminating in the construction of a linear model to elucidate the association between the CPI and GDP growth rates within these EU-27 nations. Furthermore, this paper delves into the macroeconomic implications of inflation for the EU-27. In addition to the aforementioned analysis, the authors also develop linear models to probe the relationship between inflation and Gross Domestic Investment (GDI), and GDP growth within Ukraine, covering the period from 1998 to 2022. Finally, the authors conclude this study by elucidating the transmission mechanism that elucidates how inflationary processes impact the economic development of Ukraine. In the context of the European Union, our analysis has revealed a positive correlation between inflation and GDP growth rates during the period spanning from 1999 to 2022. However, it is important to note that inflationary processes were not observed to exert a statistically significant influence on key macroeconomic variables such as gross domestic investment, interest rates, domestic lending to the private sector, and GDP growth rates within the EU during this time frame. Conversely, our investigation into Ukraine's economic dynamics from 1998 to 2022 has unearthed a negative linear relationship between changes in the CPI and GDP growth rates. Within the Ukrainian context, several factors, including the prevailing armed conflict, escalating interest rates, and challenges in domestic lending, have contributed to a discernible decline in domestic investment. Consequently, these factors have collectively exerted a detrimental impact on the country's GDP growth trajectory. It is worth emphasizing that this outcome highlights the importance of various macroeconomic variables that, at times, have adversely affected Ukraine's GDP growth, despite the National Bank of Ukraine's (NBU) inflation-targeting policy. The practical significance of this study resides in its comparative and comprehensive analysis of the repercussions of inflation on the economies of both the EU member states and Ukraine, particularly within the unique context of war.
Description: Web of Science
https://www.webofscience.com/wos/woscc/full-record/WOS:0015135074000072025-01-01T00:00:00Z