Dnipro University of Technology

An efficient signal classification algorithm for detecting Gaussian noise by the values of autocorrelation and wavelet autocoherence coefficients is presented. A comparative analysis of the autocorrelation methods for time series analysis and the wavelet autocoherence method applied to time series of large-scale wavelet coefficients is carried out. A database of 20 types of model signals (both linear and nonlinear frequency modulations) is used, which significantly expands the possibilities of using the algorithm in automatic data recognition systems. According to the results of the study, the value of the autocoherence coefficient remains unchanged over the entire range of noise power changes, while the value of autocorrelation depends on the frequency modulation and is different. To obtain a simplified model, the Shapiro–Wilk test (W-test) was used, and signals are classified into two distinct groups according to the values of the autocorrelation and wavelet autocoherence coefficients. The noise threshold is determined for the signals that correspond to the normal law of data distribution.

Purpose. Study of the influence of users' cognitive indicators on decision-making time when using filtering half masks. Method. 10 men and 5 women who used RPA-DE filtering half masks manufactured by Research and Production Enterprise STANDART took part in the study. During the study, the time and speed of the reaction of half masks users to a stimulus were determined, which allows us to assess the speed of decision-making when performing professional activities in a polluted working environment. The tasks were performed in the absence of physical exertion: once in a half mask, another time without a half mask (control value). The tasks measured the ability to suppress obstacles (Stroop Color Word test), visual search speed, processing speed and mental flexibility, reaction speed (Trailmaking Halstead–Reitan test), level of attention and logical thinking (Raven's Test), anxiety level (IDRlabs resource .com). Three main tasks were performed by the research participant for 40 minutes, after which a test was performed to determine the level of anxiety. Results. The ability to suppress obstacles, reaction speed, and level of logical thinking did not differ significantly between the control value and when wearing a half mask. As for women, the speed of reaction was higher than for men, but in groups of both sexes (in each of the groups) there were no significant differences between tests with and without a half mask. When performing any task to determine the speed of reaction and logic of thinking while wearing a half mask, the results of men and women and when comparing them with each other did not have significant differences. At the same time, the level of anxiety during tasks was 8% higher with the use of half mask s than without it. Scientific novelty. It has been established that wearing a filtering half mask increases the level of stress and anxiety of users when performing mental tasks due to an increase in the load on the cardiovascular system. Practical value. The results show that short-term wearing of a half mask in the lack of other influences does not impair cognitive performance, which indicates the absence of additional risks when using personal protective equipment for users when performing industrial tasks .

It is determined that the topic of research on the definition of geospatial support for the use of industry land at the regional level is relevant. The legal and legal support of the formation of geospatial support of the use of industry land, the factors that affect this process are substantiated. Improved categorical apparatus regarding the definition of geospatial support for the use of the land industry,which is based on the results of the systematization of theoretical and methodological provisions on substantiation of functional, spatial, urban planning, environmental, investment features and parameters geospatial support to develop an approach to evaluation and Construction of a corresponding quantitative basis.Summarizing the existing theoretical provisions, the proposed approaches to determining the geospatial support of the use of the land of the industry of the regions: functional, which is determined by the directions and features of the use of industry lands, the relevant information base is formed; technological: special attention is focused on the technological aspects of the formation and use of information base for the use of land of the industry of the regions; Spatial: the spatial characteristics and parameters that influence the use of the land of the region of the regions are determined; geoinformation: characterized by directions and features of the use of geoinformation systems for the formation of information base and modeling of processes of use of industry land at the regional level; stakeholder: interested persons who influence the level and directions of use of land of the region of the regions are distinguished; ecological: the importance and importance of environmental factors that influence the use of industry lands is determined; regulatory: legislative support, which is used to regulate land relations for industrial land at the regional level; Systemic: determined by the set of above features and parameters that influence the formation and implementation of geospatial support of land use of regions.

This research examines the dynamics of contour evolution, burn-through rate, and reaction channel formation during the gasification of thin coal seams through a series of bench-scale experiments. Utilizing an underground gas generator within a coal-rock mass, the study employs a hydrofracture profile model to analyze key parameters. Critical aspects such as the burn-through face, fire-face contour, and support zone were meticulously monitored. The rate of advance and reaction channel transformations were evaluated to provide a comprehensive understanding of the gasification process in thin seams. The results indicate that initial seam properties—such as thickness, porosity, and mineral content—significantly influence the burn-through rate and the evolving gasifier contour, particularly in the early stages. Reaction channel formation is characterized by gradual widening, driven by thermal gradients and reactive gas flow dynamics. These findings contribute to optimizing underground coal gasification processes by improving efficiency, stability, and environmental sustainability. Future research will focus on scaling these findings to field applications and investigating the impact of different gasifying agents on process dynamics to enhance energy recovery from thin coal seams. Additionally, these results have key implications for economic efficiency and industrial process management, offering potential for substantial energy and cost savings.

Human activity causes changes in habitat conditions. Where habitat conditions have been significantly altered by human activities, novel ecosystems emerge. This paper aims to analyse novel ecosystem parameters, particularly in relation to biodiversity and restoration law. It presents the role of novel ecosystems in ecosystem functioning and their significance within urban-industrial landscapes. Based on extensive literature reviews, that these ecosystems have been a subject of scientific interest for many years. However, comprehensive knowledge of these ecosystems still needs to be broadened. An interdisciplinary approach to their management is essential. The European Union (EU) has implemented various legislative and policy measures aimed at restoring and conserving natural ecosystems and biodiversity across different members states. Key initiatives include the EU Biodiversity Strategy for 2030, EU Habitats Directive, and EU Funding Programs, all of which promote sustainable development and strengthen restoration laws. Only a proper identification and understanding of novel ecosystems and their ecological processes can contribute to implementing relevant legal actions. In the urban industry landscape, the poor mineral post-mining habitat sites have the unique potential to harbor and develop biodiversity hot spots in densely populated areas. Many of these sites with very harsh habitat conditions that have been left to spontaneous processes going on have become protected sites with outstanding biodiversity established (e.g., Bytom city). Such examples in Silesia (S Poland) provide proof that such solutions should be a constant element of the post-mining site management plans.

The significance of innovative marketing in the intelligent urban logistics systems is pointed out. The methodological basis of the study comprises the methods of expert assessments, generalisation and system analysis, the method of analogy, the method of morphological analysis, and the abstract and logical method. The scientific novelty of the proposed study is determined by determining the role and place of innovative marketing in economic formations and, primarily, in ensuring the management of intelligent urban logistics systems with the creation of an appropriate mechanism and characterisation of its components. It was determined that the problem of innovative marketing in the intellectual urban logistics systems is unresolved and requires the development of appropriate effective tools. The components of innovation marketing were characterised, on the basis of which the place and role of innovation marketing in managing the intelligent urban logistics systems were specified. The proposed mechanism for implementing innovative marketing in the management of intelligent urban logistics systems has a number of features that make it narrowly directed and non-universal in general.

This study focuses on improving the mechanical properties of Date Palm Fiber (DPF) by modeling and optimizing these properties through Response Surface Methodology (RSM) and Analysis of Variance (ANOVA). A Taguchi experimental design (L16) was employed to optimize the key parameters, including NaOH concentration (ranging from 0.5% to 3%), treatment duration (spanning 12–96 hours in 24-hour intervals), and fiber diameter (between 350 and 650 µm). Tensile tests were conducted to pinpoint the parameters that significantly enhance performance. The results reveal that alkalization has a substantial effect on DPF’s strength, deformation, and Young’s modulus. The empirical data demonstrates high model accuracy, with an R² value of 94.64%. The ε (%) model shows an R² of 93.49%, while the σ (MPa) model achieves an R² of 90.63%. The concentration of NaOH plays a crucial role, contributing 19% to strain ε (%), 16.11% to stress σ, and 17.42% to Young’s modulus E. These findings suggest that DPF, after alkalization, becomes highly suitable for various industrial applications. Treatment time has a relatively minor influence (4.66% to 4.07%), and fiber diameter has a negligible effect.

The breakthrough in developing large language models (LLMs) over the past few years has led to their widespread implementation in various areas of industry, business, and agriculture. The aim of this article is to critically analyse and generalise the known results and research directions on approaches to the development and utilisation of LLMs, with a particular focus on their functional characteristics when integrated into decision support systems (DSSs) for agricultural monitoring. The subject of the research is approaches to the development and integration of LLMs into DSSs for agrotechnical monitoring. The main scientific and applied results of the article are as follows: the world experience of using LLMs to improve agricultural processes has been analysed; a critical analysis of the functional characteristics of LLMs has been carried out, and the areas of application of their architectures have been identified; the necessity of focusing on retrieval-augmented generation (RAG) as an approach to solving one of the main limitations of LLMs, which is the limited knowledge base of training data, has been established; the characteristics and prospects of using LLMs for DSSs in agriculture have been analysed to highlight trustworthiness, explainability and bias reduction as priority areas of research; the potential socio-economic effect from the implementation of LLMs and RAG in the agricultural sector is substantiated.

The present article is devoted to the methods of quantitative risk analysis used to ensure the engineering safety of industrial equipment. It aims to clarify the latter's place in the concept of the civilization of safety and security. The features that make engineering universal in engineering are its interdisciplinary nature and the presence of a safety culture. Interdisciplinarity is manifested when considering organizational and legal factors for risk assessment. This is demonstrated by the example of two blast furnace accident scenarios. The safety culture is implemented through initiative-taking maintenance strategies through risk-based maintenance. The theoretical foundations of this strategy are presented: risk and safety indicators, an algorithm for finding the optimal level of risk, and a method for diagnosing the technical condition of mechanical systems. Recommendations on using risk and safety indicators depending on the criticality of the element being diagnosed are given.

The rare-earth element (REE) concentrations, outlook coefficient and critical parameters of coal fly ash (CFA) samples from three Ukrainian thermal power stations – Prydniprovska, Zmiivska and Kryvorizka TPS – are favourable for recovery of rare-earth elements, particularly following flotation treatment to remove unburnt carbon which also improves their performance as a component of concrete. Unburnt carbon was characterised by differential thermal analysis. The greatest hazard was connected with CFA from the now destroyed Zmiivska TPS; the contents of Cd, Sn, Sb, Pb and As were 2–6 times the world coal-ash-average; maximum levels of Mo, Ga and V were also observed in Zmiivska ash. The lithium content of CFA from Zmiivska and Kryvorizka TPS, and one fraction of Prydniprovska TPS ash (40–125 μm) exceeded world average values almost 2–3 times. In all samples, light REE (La, Ce, Pr, Nd and Sm) preponderate compared to middle REE (Eu, Gd, Tb, Dy and Y) and high REE (Ho, Er, Tm, Yb and Lu); the ratio of light to heavy REEs ranged from 18 to 32. The studied CFAs can be considered as a secondary source of REEs since critical elements comprise ≥ 30%.

The issue of determining the size of pillars of various types and purposes is very important, as it is closely related to the issues of completeness of excavation of mineral reserves, as well as ensuring the stability of protected workings. The purpose of this work is to study the behavior of the massif in the zones of increased mining pressure, to evaluate its stress-strain state for justification of the optimal parameters of pillars, which is a very urgent scientific task in the conditions of the converged formations of the Western Donbass. To analyze the stress-strain state of the rock massif area in the area of preparatory excavations, falling into the zones of increased mining pressure, the volumetric problem was solved using the finite element method. The problem was solved using Cosmos Works software. In order to determine the size of the pillar satisfying the requirements of completeness of excavation and safety of preparatory workings, this parameter was varied from 25m to 40m with an interval of 2m. The work contains the results of monitoring the condition of mine workings as the longwall is approaching up to its stoppage. On the basis of modeling of the stress-strain state of the massif with linkage of the actual state of the drifts according to the monitoring results, the optimum parameters of the pillar are determined, which in the considered conditions are 37 meters.

The necessary ecosystem services can be effectively provided through the diverse functioning and processes of ecosystems. Apart from services provided by natural and semi-natural ecosystems, the study on ecosystem development on mineral habitats, established as by-products of mining activity, have revealed surprising results. Unrecognised yet crucial ecosystem services can be provided by novel ecosystems that develop spontaneously on mineral sites created due to human activities, such as mineral mining. These mineral habitats and the ecosystems established de novo provide a wide range of ecosystem services. Modelling ecosystem functioning can simulate and predict the effects of interventions on ecosystem services provided by novel ecosystems. This approach supports adaptive management strategies that maximise desired services while minimising negative impacts on biodiversity and ecosystem integrity. Understanding the functioning of novel ecosystems and their ecosystem services is crucial for enhancing resilience, promoting restoration efforts, and implementing sustainable land-use practices. Recognising the importance of ecosystem services provided by novel ecosystems and involving stakeholders in decision-making processes can foster public support for conservation initiatives and promote collaboration among diverse stakeholders. This approach is particularly important given that many activities related to the re-development of post-industrial areas, especially post-mining regions, have fallen short of achieving their objectives. The essential role of ecosystem services provided by natural, semi-natural, and novel ecosystems highlights the importance of the ecosystem functioning modelling approaches. Such approaches are needed to understand and quantify these services in the context of adhering to sustainable development principles during urban development.

The study aims to identify effective approaches to managing the processes of restoring regional infrastructure during martial law and post-war reconstruction. The type of this study is a case study based on the analysis of Ukrainian realities. The research procedure involved collecting scientific literature and expert opinions through semi-structured interviews. The inclusion of scientific literature was based on the following criteria: relevance, thematic relevance, time range from 2019 to 2024, regional criterion: Ukraine and the EU. The study involved 25 experts from various fields with experience in public administration. The main tool used in the study was a semi-structured interview that did not contain strict formal restrictions. The findings identify the optimal approaches to restoring regional infrastructure: creating strategies and implementing reforms, financial regulation, supporting businesses and implementing social projects, monitoring the situation and responding to challenges. The results, based on the analysis of experts’ responses, established the following infrastructure problems of martial law for Ukraine: energy crisis (52%), destruction of social infrastructure (31%), reduction of the transport network (16%), problems in the functioning of information and communication infrastructure (1%). The conclusions indicate that an integrated approach should be implemented to develop the public administration system and restore the infrastructure.

In today's conditions, when the war with the Russian Federation continues, the problem of socio-psychological rehabilitation of military personnel who have been in military conflicts, which includes assessing the likelihood of preserving their health and working capacity after exposure to extreme factors, is becoming especially relevant today. The purpose of the article is to systematize and generalize the main approaches and types of rehabilitation of military personnel participating in hostilities. In the scientific survey, the authors highlighted the problem of rehabilitation of military personnel who participated in hostilities. Various scientific approaches to determining the components (types) of rehabilitation of military personnel participating in hostilities have been systematized and analyzed. It has been established that the rehabilitation of military personnel participating in hostilities involves the presence of four main components (types) - psychological, social, pedagogical, and medical A scheme of types of rehabilitation of military personnel as part of comprehensive rehabilitation has been developed. The essence of each type of rehabilitation is characterized. The emphasis is on the fact that all types of rehabilitation activities with military personnel participating in hostilities are quite important, but only all of them in combination can ensure the effectiveness of the rehabilitation system as a whole. Therefore, in this regard, there was a need to develop a proposal for the formation of a state policy for the rehabilitation of military personnel who participated in hostilities, both on the basis of medical and rehabilitation institutions and outside them, applying positive factors of the functioning of civil society, such as the involvement of social workers, practical psychologists, heads of public organizations and volunteers who work in military units and hospitals for war veterans.

This paper explores the optimization of checkout systems in retail supermarkets using simulation modeling. The study employs queuing theory and simulation methods implemented in Python's SimPy package to evaluate and improve the efficiency of checkout operations under various scenarios. The model incorporates customer flow intensity, checkout service rates, and permissible queue wait times, which are dynamically adjusted based on the location type (transport hubs, central districts, or residential areas), day of the week, and peak or non-peak hours. Data sourced from Google Maps on hourly supermarket occupancy levels is used to simulate real-world scenarios. The analysis identifies optimal checkout numbers for different conditions by minimizing total costs, which include operating expenses for checkouts and losses from customers abandoning queues due to excessive waiting times. The results highlight significant differences in optimal checkout numbers depending on supermarket location and customer behavior patterns. For instance, transport hubs require fewer checkouts due to lower peak loads, while central districts demand higher numbers to manage consistent customer flow. Additionally, residential area supermarkets benefit from increased evening checkouts to accommodate after-work shopping surges. Sensitivity analysis reveals that the most critical factors influencing optimal checkout numbers are the maximum allowable wait time, service rate (dependent on average basket size), and customer flow intensity. These findings provide practical recommendations for retail management, suggesting adaptive checkout allocation strategies that align with customer flow patterns and service expectations. The proposed methodologies enhance decision-making and cost-efficiency, offering valuable tools for integrating queue optimization within supermarket management systems.

The article is devoted to the interdependence between the environment and the health of the population of Ukraine. The processes of destructive changes in the ecosystem of the regions of Ukraine, the use of human capital, and the dependence of public health on the environment have become the object of study and constitute the main goals of this study. To achieve the goals, general scientific and special methods of analysis and techniques were used: economic analysis and comparison – to assess the health status of the population, correlation–regression method – to build a system of equations and identify the dependence of the mortality rate on the impact of environmental factors, the grouping method – to analyze indicators of population morbidity by regions of Ukraine, induction and deduction. With the help of these techniques, the cause-and-effect relationships of the population’s morbidity and the influence of environmental factors on their dynamics were studied. To characterize the qualitative state of the environment in Ukraine, laboratory methods were used – the method of threshold limit value (TLV) of water, air, soil pollution, etc. To assess the quality of the living environment, an index method was used (the suitability index is a synthetic indicator of the quality of the living environment). Statistical data for the analysis were taken from the information bulletins of the State Sanitary Epidemiological Service for 2021‒2022, the statistical yearbook of Ukraine for 2019‒2021, and the Center for Health Statistics of the Ministry of Health of Ukraine. It was determined that the prospects of the national economy will depend on the one hand, on the ability to quickly and effectively adapt to the new, modern requirements of globalization processes and on the other hand, on the consciousness of the population and the rational use of natural resources. It has been proven that the solution of medical and environmental problems directly depends on the professionalism of personnel and the motivation to preserve the environment for future generations. The quality of the living environment of the population depends on a safe environment and rational nature management.

This experimental study explores the convergence of the Agenda 2030 goals, capacity building and plurilingual engineering education through interactive virtual experiences in materials science course. It highlights the significance of diversity in fostering didactic innovation and creativity within the academic communities of two institutions, the Technical University of Valencia (Spain) and Dnipro Technical University (Ukraine). Through seven hybrid sessions, 78 undergraduates and 6 educators collaborated on laboratory tasks, honing their professional abilities, sustainability engagement, and personal development. Additionally, the project examines the crucial role of digitization in addressing learning challenges and facilitating international collaboration. It also showcases the potential of virtual exchange to support active methodologies in plurilingual settings. By harnessing these technologies and Agenda 2030 targets, the field of materials science can progress towards more inclusive, competence-focused, and digitally-enabled engineering education.