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  Тип елементу:Документ,

  Development of a system for predicting failures of bagging machines

  (Lublin University of Technology, 2025) Huliieva, Nataliia; Lishchyna, Nataliia; Pasternak, Viktoriya; Huliieva, Zemfira Natihivna

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  The reliability and effective operation of machines is a pressing problem for every enterprise, which requires labour intensive systematization of production processes. The goal is to develop an algorithm and a system for predicting failures of packaging machines based on the analysis of operational indicators. The scientific novelty lies in the integration of statistical data to assess the efficiency of machine operation and predict possible failures, which allows significantly improving maintenance processes and reducing the risks of unforeseen breakdowns. The practical value is the development of a forecasting system that collects the necessary statistical data and performs forecasting. Based on the collected data, an assessment of the efficiency of work and forecasting of possible failures is carried out. The forecasting system is demonstrated on the example of packaging machines LEMO INTERmat ST-SA 850 of "Tatrafan" LLC. Two research methods were used: calculation (mathematical) and forecasting system (least squares method). The forecasting system provides two ways of presenting data: tabular and graphical. Tabular presentation of data allows filtering information according to various criteria, while graphical display is implemented in the form of diagrams showing the operating time and downtime of machines. The main results are the determined range of probable failure of LEMO INTERmat ST-SA 850 packaging machines, which lies in the range from 9090.5 to 12736.5 hours of operation and almost coincides with the manufacturer's warranty period. With timely maintenance, it is possible to increase the lower limit of this interval.

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  Тип елементу:Документ,

  The evolution of international logistics in the era of globalisation: opportunities and challenges for business operations

  (Technical University of Košice, Košice, Slovak Republic, 2025) Kabanova, Olena; Popel, Serhii Anatoliiovych; Kopylova, Olha; Piriashvili, Oleksandr

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  The state of international logistics is closely related to political, economic, and technological changes that take place in the context of dynamic technological development, military threats, and, at the same time, integration of countries in search of partners. The article aims to highlight the main aspects and features of the international logistic development in the globalization context. The methodology included general scientific methods of studying the chosen research object (analysis, synthesis, grouping). The logistics productivity index is considered the leading indicator of the global logistics sector developmet in 2018-2023. The study’s results demonstrate the dependence of logistics development on several factors. In the leading countries, according to the Logistics Performance Index, the drivers of change are investments in infrastructure, transport networks, IT communications, technology, digital networks, logistics centres and hubs; logistics education and competence; government support and incentives for the sector; and a stable political and economic environment that fosters investment and innovation. The article highlights the main aspects and features of the international logistics development in globalization condition. The practical value ofthe study lies in highlighting the challenges faced by the logistics sector on a global scale in the context of technological shifts and military threats (the need for investment in maintaining logistics sustainability, changing supply chains, and rising delivery costs).

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  Тип елементу:Документ,

  Великі данні та машинне навчання

  (Державний податковий університет, 2025) Редич, Олександр Володимирович

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  У навчальному посібнику розглянуто теоретичні відомості, основні поняття та практичні аспекти використання інструментарію великих даних (Big Data), машинного навчання (Machine Learning) та штучного інтелекту (AI). Наведені приклади та практичні рекомендації для застосування алгоритмів машинного навчання на основі бібліотек Python мають прикладний характер і можуть бути застосовані в різних задачах аналітики даних та під час розробки компонентів штучного інтелекту. Посібник рекомендується для викладачів і здобувачів ступеня бакалавра й магістра спеціальностей F3 «Комп’ютерні науки», F2 «Інженерія програмного забезпечення», для всіх, хто вивчає та досліджує технології галузі науки про дані (Data Science).

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  Тип елементу:Документ,

  Semantic‐Functional Approach in Presenting the Linguistic Picture of the World of Ukrainians, the English, and Germans

  (Al-Kindi Center for Research and Development, 2025) Kinashchuk, Anastasiia; Bodunova, Olesia Mykolaivna; Mashkina, Olena; Soshko, Oksana; Zaluzhna, Olha

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  The article focusesonthesemantic‐functionalrepresentation of the basic concepts of the linguistic picture of the world of Ukraini ans, the English, and the Germans. The relevance of the research is determined by the need for a deeper understanding of cultural and value differences in the perception of the concepts of home, freedom, work, future, and success in the modern multicultural space, especially in times of social crises and war. The aim of the study was to identify cross‐cultural differences in the structuring of key concepts through associative reactions. An associative experiment, content analysis, and the method of assessing emotional valence were used. The study involved 300 respondents (100 from each language group: Ukrainians, English, Germans), who provided over 1,500 associations. The method of free asso ciative experiment, content analysis, assessment of emotional valence (scale from 2 to +2), statistical processing in SPSS, as well as analysis of semantic groups of associations in six categories, was used. According to the results, Ukrainians demonstrated the highest emotional (34.3%) and collective patriotic (18.5%) orientation; the English — social (30.7%) and material (22.3%); Germans — material (28%) and social (29.8%). It was found that the concept of freedom in the linguistic consciousness of Ukrainians has the highest positive emotional valence (+2.0), while among Germans, the concept of success is estimated at +1.7, and among Englishmen, success and home received +2.0 and +1.8, respectively. The academic novelty lies in integrating emotional valence analysis with cross‐cultural associative data to model the semantic‐functional struc ture of key concepts under contemporary crisis conditions, specifically the ongoing war in Ukraine. Prospects for further research are related to the study of the functioning of key lexemes in real texts — in particular, in political speeches, educational materials, and media discourse.

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  Тип елементу:Публікація,

  Green finance as a tool for achieving sustainable development

  (EDP Sciences, 2025) Davydenko, Nadiia Mykolaivna; Abuselidze, George; Hordei, Oksana Dmytrivna; Patsai, Bohdan Dmytrovych; Novytska, Olena Valeriivna

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  The article discusses the need for green finance to achieve several sustainable development goals. The main sources of financing for ensuring the environmental sustainability of cities have been identified, highlighting the potential for a transition to green consumption patterns and the implementation of measures to combat environmental pollution (air, water, and soil) exacerbated by climate change. Rational use of natural resources has been emphasized. Data analysis shows that funding for environmental projects to reduce pollution has increased by 30% in the conflict-affected areas. This will form the basis for the transition to sustainable development, including investments in clean technologies and energy independence. After analyzing the main types of rating, the need for the index method to assess the most rational areas of use of green finance instruments is substantiated to achieve the indicators of the Sustainable Development Goals.

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