https://gprosperity.org/index.php/journal Tiskárna a nakladatelství OKTAN PRINT en-US Global Prosperity 2787-9364 https://gprosperity.org/index.php/journal/article/view/298 Personal styling relies on three categories of client data (body morphology, colour characteristics, and behavioural preferences), yet practitioners typically evaluate these in isolation, producing recommendations that optimise for one parameter while inadvertently creating conflicts with the others. A silhouette chosen for proportional balance may arrive in a colour temperature that clashes with the client's complexion; a palette aligned with seasonal colour analysis may be rejected because it contradicts the client's psychological comfort zone. This study proposes a formalised decision-making algorithm that accepts all three parameters as simultaneous inputs, assigns each a weighted score, and generates an integrated output termed the "style formula." Body morphology is reconceptualised from categorical labels (hourglass, rectangle) to continuous dimensional scores (shoulder-hip ratio, waist definition index, vertical proportion). Seasonal colour analysis is similarly translated from discrete seasonal types to a three-axis coordinate system (hue temperature, value contrast, chroma level). Behavioural patterns are captured through a composite of personality traits, daily lifestyle distribution, and aesthetic tolerance. A weighted decision matrix resolves inter-parameter conflicts by adjusting parameter priority according to the client's stated goals. Testing across the author's consulting records (200+ female clients, 2016 to 2025) indicates that clients whose style was built through the three-parameter algorithm retained 78% of recommended wardrobe items in active use after six months, compared to 43% retention among clients styled through single-parameter approaches. Findings suggest that multi-parameter integration reduces both wardrobe waste and client dissatisfaction. Maryna Kostogryz Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/311 The article examines the systemic crisis within the U.S. educational landscape associated with the inefficiency of traditional linguocentric bilingual instruction models (TBE, DLI, ESL). The author substantiates the "Bilingual SEL Development" methodology as an interdisciplinary framework, wherein socialization and emotional development (SEL) become the psycho-pedagogical basis of the general language acquisition process. The work takes a close look at how emotional intelligence can be woven into the way language is actually used and taught, specifically through a socio-affective modulation algorithm and what the authors call an emotional scaffolding system. Early data collected from a pilot run at Smartik Kids Learning Center offer some encouraging signs: students showed real gains in bilingual communication, were more willing to speak up in class, which suggests lower language anxiety, and seemed to settle into academic life faster than expected. The study looks at how AI-based tools are used in practice, how families are involved, and what can be learned from a bilingual program in Hawaii. It treats generative AI as a supporting tool, with clear benefits but also clear limits. In all these cases, technology stays in a secondary role. For bilingual learners, progress depends more on stable support, trusting relationships, and emotional readiness than on the tools themselves. Valeriia Buchkovska Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/284 This study is dedicated to the anatomy of executive-level decision-making under conditions of high uncertainty. The focus lies on the key paradox of modern telecommunications, the so-called "investment scissors" - the necessity of exponentially increasing capital expenditure (CapEx) for the deployment of 5G and fiber optics against a backdrop of stagnating ARPU and the commoditization of traditional services. The paper analyzes how C-level management transitions from deterministic financial models to probabilistic ones (Real Options Analysis) and Smart CapEx strategies. The phenomenon of "organizational ambidexterity" - leadership`s ability to balance the rigorous exploitation of legacy networks with the venture development of innovations - is examined. Particular attention is paid to overcoming the epistemic gap between technical and commercial teams through the implementation of Digital Twins of an Organization (DTO) and Agile transformation. The results show that the long-term viability of an operator depends less on the choice of technologies than on leadership`s ability to build a culture of antifragility, implement a Zero Trust security architecture and accept ethical responsibility for the algorithmic governance of future networks. Yevhenii Viktorovych Valiienko Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/307 This study integrates a comparative legal analysis of EU and US statutes with supply chain gap analysis to identify critical bottlenecks in cross-border warranty processing, regarding reverse logistics, labor cost inflation and defect verification latency. The analysis reveals that traditional parts-only reimbursement models are commercially unviable within the US market. To address this, the article proposes a hybrid alignment strategy - a methodological framework that harmonizes European operational prudence with American commercial demands. Key components include the implementation of capped labor reimbursement models based on standard repair times, the adoption of scrap-in-field protocols for low-value components and the deployment of a centralized digital ecosystem for evidence-based adjudication. The implementation of these standardized protocols transforms warranty management from an unpredictable cost center into a strategic instrument for financial hedging. By automating claim triage and enforcing objective verification standards, suppliers can optimize working capital, mitigate fraud risks and secure a competitive advantage in the transatlantic supply chain. O. V. Kapeliukh Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/303 This article examines European standards of judicial control at the pre-trial stage of criminal proceedings and their implementation in national criminal procedure of Ukraine. The relevance of the study is determined by need to harmonize Ukrainian criminal procedural legislation with standards of the Council of Europe and case law of the European Court of Human Rights. The purpose of this research is to identify key models and principles of judicial control in pre-trial proceedings and to assess their integration into Ukrainian legal practice. The methodological basis of the study includes comparative legal analysis, systemic-structural and formal-legal methods, which allow examination of international standards and national legislation in their interrelation. It is established that judicial control at the pre-trial stage is a fundamental guarantee of protection of human rights in relation to the legality of detention, searches, seizures, and other procedural coercive measures. The study highlights that European standards emphasize the independence and impartiality of the investigating judge, requirement for effective judicial review, and the principle of proportionality in restricting fundamental rights. The analysis of the case law of the European Court of Human Rights demonstrates persistent challenges in ensuring effective judicial oversight in Ukraine regarding the duration of detention and the quality of judicial reasoning. Findings indicate Ukraine has advanced in aligning its criminal procedure with European standards, but further improvement is required to ensure compliance with Articles 5 and 6 of the European Convention on Human Rights. Findings may contribute to improvement of national legislation and judicial practice. Sergii Kuntso Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/314 The article examines the concept, classification and functional purpose of linear-extended structures in the structure of modern cities from the standpoint of construction and civil engineering. It is substantiated that linear objects - transport corridors, engineering networks, linear parks, embankments, pedestrian and bicycle routes - form the basic infrastructure framework of urban systems and determine their spatial planning organization. Historical and modern approaches to the formation of linear cities, their potential for optimizing transport and land use, as well as limitations due to the complexity of practical implementation and the need to adapt to the context of urbanized territories are considered. Special attention is paid to the role of linear parks as innovative elements of the green infrastructure of post-industrial cities, capable of transforming former infrastructure or industrial corridors into environmentally and socially significant spaces. The study analyzed the importance of engineering communications as a hidden, but critically important component of the urban environment, which ensures the life of the city and affects the possibilities of its further development. The role of embankments as multifunctional linear formations that combine recreation, mobility, aesthetics and water-ecological functions, forming new directions of interaction of the city with the natural environment, was also revealed. The study shows that linear-extended structures go beyond the boundaries of purely engineering infrastructure and act as key tools for the formation of a sustainable, environmentally balanced and socially integrated urban space. They ensure the continuity of flows, determine the directions of territorial growth, increase the comfort and safety of movement, contribute to the improvement of the ecological state and create the prerequisites for the balanced development of urban agglomerations. The scientific novelty of the study lies in the generalization of various types of linear structures in a single conceptual field and the determination of their systemic role in the formation of the city's infrastructure framework. The practical significance of the results obtained lies in the possibility of using the presented conclusions in urban planning, design of engineering networks and development of green infrastructure, as well as in creating comprehensive strategies for the reconstruction and modernization of urban areas. V.O. Stebnytsky A.V. Banakh Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/299 This article examines how artificial intelligence (AI) transforms the work of project managers in the contemporary U.S. market. The study analyzes the impact of AI on the core functions of project management, including planning, coordination, communication, reporting, risk management, decision-making, stakeholder interaction, and team collaboration. Special attention is given to the redistribution of responsibilities between human project managers and AI systems, as well as to the growing importance of digital literacy, analytical thinking, ethical judgment, and AI-assisted decision-making competencies. The article argues that AI does not eliminate the need for project managers, but fundamentally changes the structure of their work. Routine, repetitive, and data-intensive tasks are increasingly automated, while the human role shifts toward leadership, strategic thinking, communication, insight interpretation, and supervision of AI-supported processes. The study also considers how AI changes the speed of communication, the transparency of project execution, and the quality of decision-making in complex project environments. A separate focus is placed on the evolution of the project manager's competency model, including AI literacy, critical thinking, data interpretation, adaptability, and human-centered leadership. The research also highlights ethical and governance-related issues associated with AI adoption, such as accountability, algorithmic bias, transparency, privacy, and the risks of over-reliance on automation. In addition, the paper examines barriers to AI adoption in project environments, including skill gaps, resistance to change, fragmented systems, and unrealistic expectations regarding automation. The practical significance of the study lies in its applicability for organizations, PMOs, educators, and project professionals seeking to understand how the profession of project manager evolves under the influence of AI and which competencies will remain essential in the coming years. Serhii Chekhla Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/312 The article is devoted to the study of trends in road accidents and directions of problem prevention through the use of telematics data and artificial intelligence technologies. The purpose of the article is to substantiate the possibilities of using telematics data and artificial intelligence to predict road accidents and improve road safety in the USA. During the scientific study, general scientific methods of cognition were used, in particular, analysis, synthesis, comparison, generalization, systematization and classification. The results of the study show that several key risk groups have been identified in the field of road accidents in the USA. It was studied that the highest mortality rate among men aged 20–24 is 27.9 per 100 thousand population, which indicates the need for separate behavioral monitoring of this category of drivers. It was studied that modern models of road accident prediction cover not only speed or violation of rules, but also risk perception, behavioral instability, workload, distance, relative speed and trust in automation. It is shown that models of deep learning, behavioral entropy, simulation evaluation, 3D modeling, mental load analysis, microscopic state of motion and car-following can already quantitatively assess dangerous driving patterns and predict risky situations. It is generalized that the author's model AFSA Method combines Calibration Phase Algorithm, AI Risk Scoring Engine, Behavioral Feedback Layer, Fleet Risk Intelligence Layer and Empirical Validation Layer - these are modules that are able to provide prediction of accidents and reduce their probability. The practical significance of the author's model lies in the ability to change the situation on the road before the accident. For drivers, this can mean timely warning about dangerous driving style. For fleets, this creates a tool for risk control and prevention. For insurance models, this provides more accurate behavioral analytics. In a broader sense, such an architecture can become an additional tool for reducing accidents, injuries and human losses on US roads. Ihor Melnyk Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/297 This article presents a systematic review of AI driven fraud detection methodologies, evaluating the efficacy and transparency limitations of supervised, unsupervised and deep learning paradigms. Central to this study is the examination of Explainable Artificial Intelligence (XAI) as a reconciliation layer, specifically analyzing feature attribution methods (SHAP, LIME) and counterfactual explanations. Drawing on empirical evidence from industrial case studies, including Danske Bank and JPMorgan Chase, the research validates that interpretability significantly mitigates false positive rates, but faces challenges regarding computational latency and cognitive load. Synthesizing these findings, the paper proposes a novel Human-in-the-Loop (HITL) architectural framework that integrates XAI tools directly into analyst workflows. This approach advocates for a synergistic socio-technical system, where machine scalability is augmented by human ethical judgment, ensuring a fraud detection ecosystem that is robust, legally compliant and operationally transparent. Taisiіa Prykhodko Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/310 The subject of the research encompasses the pathophysiological, tactical and bioethical aspects of the interaction of paramedics with patients in a state of profound neurocognitive destabilization. Particular attention is paid to the architecture of environmental threats, including kinetic traumatism, as well as the invisible pathogenesis of moral injury and secondary traumatic stress in medical personnel forced to work in "confined operational spaces" without adequate security and legal support. The objective of the work – to develop and conceptualize a multidimensional framework of prehospital safety that overcomes obsolete, stigmatizing and reactive-punitive approaches to the management of patient aggression. The primary intention of the work – to deconstruct the false dichotomy between provider safety and patient interests, proving that the guarantee of somatic and psychological inviolability of the clinician is an indispensable condition for the provision of compassionate, life-saving psychiatric care. The design of the work is based on the methodology of an integrative systematic review with subsequent synthesis of a conceptual model. An exhaustive content analysis of peer-reviewed literature in the PubMed/MEDLINE, Scopus, CINAHL and PsycINFO databases was conducted, covering the period of 2008-2023. The empirical base is amplified by aggregated reports of the National Emergency Medical Services Information System of the USA (NEMSIS) and consensus directives (NAEMSP, ACEP). Through data triangulation the clinical outcomes of pharmacological interventions were correlated with indices of occupational traumatism reduction and bioethical precedents. The aggression of a patient with an altered mental status must be decoded exclusively as an acute neurobiological symptom – hyperactivity of the limbic system against the background of a total cognitive deficit. The traditional concept of force domination and mechanical restraint (especially the prone position) is recognized as pathophysiologically untenable, catalyzing positional asphyxia and iatrogenic death. The successful resolution of an acute behavioral crisis requires proactive threat assessment: empathetic management of proxemics, reduction of sensory overload and precision rapid sequence sedation with dissociative anesthetics. Salvaging the EMS personnel potential from burnout requires macrosystemic transformation, the implementation of joint response models and the legitimization of structured psychological debriefing. Vitalii Asimionese Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/306 With the continued growth of online marketplaces, competition for consumer focus has become even more fierce, especially for product listings as they become the determining factor for consumers between sellers and platforms. As marketplaces grow in both size and complexity, traditional, online, and rule-based optimization become less effective in the face of dynamic consumer behavior, multi-modal content, and systematic, ranking algorithm variations. To engage with the most recent literature in e-commerce marketing, information systems, and machine learning, this study focuses on the application of AI technologies, such as machine learning, natural language processing, and computer vision, along with recommendation systems. The study analyzes the effects of these technologies on the listing processes of generation, evaluation, modification, and of the optimization process. AI optimization in product listings has the ability to increase visibility, engagement, and conversion. The study also highlights the possible negative effects of complete automation, content homogenization, algorithmic opacity, and the lack of transparency. The results indicate optimization of product listings via AI is the first of many steps to a continuous, data-driven, and adaptable approach to marketplace automation. The balanced governance of these systems still relies heavily on the insight of the users to maintain a level of transparency and fairness. Finally, the study attempts to improve seller and platform understanding of the automation processes and the anticipated shifts in market conditions as a result of AI. D. Y. Lavryniuk Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/313 Wellness tourism in the United States has grown into a $120 billion market, reflecting a broader global industry worth nearly $900 billion. At the same time, Americans are reporting record levels of stress: according to Gallup, almost half of adults experience it daily, and the American Psychological Association has described the current climate as one of "collective trauma." Consequently, the observed growth in wellness tourism may be attributed to a heightened consumer demand for destinations and experiences that facilitate comprehensive physical and psychological restoration. This article analyzes the motivational structure of demand, consumer segmentation, service formats, and regional market differentiation, as well as the operational determinants of client satisfaction with wellness programs. Methods of analyzing and systematizing secondary data were applied, based on materials from the Global Wellness Institute (2023–2025), the American Psychological Association, Gallup, and industry analytical organizations, as well as comparative operational data from three tourism companies for the years 2017–2021. Five demand factors were identified, with the inability of habitual stress-coping mechanisms to ensure recovery being the leading one. Four consumer segments with distinct demands, six service formats, and regional market clusters are described. The scientific novelty lies in the introduction of an operational measure of customer satisfaction into the market analysis: it was found that preparing the client for the program reduces the proportion of complaints due to unmet expectations by 57–70%. These findings are systematized in the author's original contribution: the Expectation Alignment Framework, which identifies expectation gaps as the primary complaint driver in wellness tourism, and the Operational Satisfaction Model, which links structured pre-departure preparation to measurable client outcomes. Maryna Oznobishyna Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2 https://gprosperity.org/index.php/journal/article/view/302 Telemedicine is regarded as a socioeconomic intervention that can modify spatial access to healthcare, household transaction costs, labour time losses, and regional health system resilience. Its relevance is evident in rural, peripheral, and war-affected territories, where transport barriers, staff shortages, infrastructure constraints, and unequal digital connectivity intensify disparities. Telemedicine should be analyzed as both a healthcare delivery technology and an intersectoral instrument for reducing spatial inequality, preserving human capital, and strengthening regional resilience. Objectives. The objectives are to conceptualize telemedicine as a factor of sustainable regional economic development and to identify mechanisms through which it affects spatial equity, household costs, productive time, human capital, and health system resilience. Materials and methods. The study applies a qualitative conceptual design based on a narrative review and synthesis of publications, reviews, policy documents, and Ukrainian regulatory sources. The framework covers household and time-related costs, productivity, resource allocation, spatial equity, human capital, digital infrastructure, and institutional conditions. Results. The study identifies six channels through which telemedicine may affect regional economic development: reducing travel-related and transaction costs, preserving productive time, improving productivity, optimizing resource allocation, mitigating spatial inequality in care access, and strengthening local system resilience. These effects depend on broadband connectivity, stable financing, institutional integration, and workforce digital readiness. Conclusions. Telemedicine should be interpreted as a conditional determinant of sustainable regional economic development, not an autonomous driver of regional growth. Its contribution is realized through mechanisms linking healthcare access, digital infrastructure, human capital, and territorial resilience. L. H. Lipych O. M. Liutak L.L. Kovalska Copyright (c) 2026 Global Prosperity 2026-04-25 2026-04-25 6 2