Annotation: The field of all types of innovation is typically saturated with a wide range of conventionally applied technical solutions and materials. Therefore, the implementation of innovative changes must be adapted to and integrated with traditional technologies and materials. In general, innovation is not a goal in itself. The central objective of the entire innovation process is to achieve a final result that leads to a qualitative improvement of all parameters of the therapeutic process, while ensuring the continuity of technologies, engineering solutions, and materials — including consumables. Developers have presented their first quantum computer and joined the global race for “quantum supremacy.” The first 20-qubit computer employs modern superconducting technology.

Annotation: The article explores the integration of digital technologies into the assessment of eyebrow morphology and the planning of their correction as a new stage in the development of aesthetic medicine. The aim of the study is to examine the impact of advanced technologies on the eyebrow correction process, taking into account facial morphology, which is understood as the analysis of facial shape, proportions, and symmetry in order to create a personalized image. The study employed general scientific methods of cognition: analysis, synthesis, comparison, modeling, systematization, and generalization. The findings indicate that the modern approach to eyebrow shaping is based on a combination of anatomical knowledge, age-related morphological features, innovative digital modeling, and standardized aesthetic parameters. The interdisciplinary nature of eyebrow morphology is emphasized, as it integrates anatomical, aesthetic, and anthropometric knowledge to enable precise analysis and correction of eyebrow shape while considering individual patient characteristics such as age, gender, ethnicity, and facial structure. It is noted that effective eyebrow shaping cannot be achieved without taking into account the facial morphotype and deep anatomical changes, especially in older patients. The study shows that digital technologies are actively being implemented in the field of eyebrow modeling and correction, with the most significant being: artificial intelligence (AI); augmented and virtual reality (AR/VR); 3D printing; 3D photogrammetry; CAD/CAM technologies. AI provides a personalized approach to analysis and modeling, while AR/VR allows real-time testing and visualization of different shape options. 3D printing is used for the creation of customized stencils or models, and 3D photogrammetry enables the acquisition of highly accurate facial parameters. CAD/CAM technologies ensure symmetry in both aesthetic and surgical procedures. The prospects for further development in this field are outlined: implementation of AI-based mobile applications for instant visualization of results; development of biometric models that consider age-related changes; AR technologies for dynamic eyebrow shape fitting; application of 3D scanners to monitor intervention effectiveness; and the use of virtual simulations as a communication tool between specialists and patients. The practical value of the study lies in the implementation of a personalized digital approach to eyebrow correction planning based on scientifically grounded morphological parameters.

Annotation: Hallucinations in large language models (LLMs) are a systemic problem that manifests itself when models generate information that does not correspond to the ground truth or input data. This phenomenon significantly limits the application of LLMs in mission-critical domains such as medicine, law, research, and journalism, where the accuracy and reliability of information are of utmost importance. This paper provides a comprehensive analysis of three key factors that contribute to hallucinations: issues related to the quality and structure of training data; architectural features of transformer models that predispose them to error accumulation; and the lack of built-in fact-checking mechanisms, due to which models rely solely on statistical regularities. Each of these factors is discussed in detail using relevant research, and potential solutions are proposed. The paper includes three dedicated graphs that visualize the relationship between various model parameters and the occurrence of hallucinations. The results of the study indicate the need for a comprehensive approach to improving LLM, including both improving data preprocessing methods and modifying the model architecture and introducing additional verification mechanisms.

Annotation: The study is dedicated to a comprehensive analysis of the impact of professional photography on the effectiveness of residential real estate sales from the perspectives of marketing, visual design, and urban studies. It examines how high-quality images of properties attract buyers' attention, shape first impressions and trust, and influence both the speed of sale and the final price of a property. The psychological aspects of image perception are analyzed, showing how professional photography can emotionally engage potential buyers and persuade them of a listing’s value. From a design standpoint, the research highlights the importance of composition, lighting, and color in creating appealing interior and exterior visuals. The urban aspect emphasizes the significance of showcasing context - such as the neighborhood, architectural surroundings, and public spaces - through photographs, thereby enhancing the attractiveness of the property. As a result, the study formulates recommendations for an interdisciplinary approach to real estate photography that can significantly improve sales outcomes.

Annotation: The paper provides a comprehensive analysis of the psychological aspects of the influence of ballroom dancing on the emotional state of adults. It highlights that ballroom dancing, as a form of socio-motor activity, has a comprehensive positive effect on psycho-emotional health, combining physical activity, emotional self-expression, and social interaction. The results demonstrated that systematic participation in ballroom dancing leads to a significant reduction in psycho-emotional tension, improvement of mood, enhancement of life satisfaction, and activation of cognitive processes. It was also found that dance practices improve body identity, promote self-knowledge, reduce feelings of loneliness, and strengthen interpersonal relationships. Additionally, the positive effect on empathy, coordination, and sensorimotor functions was confirmed. Ballroom dancing is an effective means of psycho-emotional support, contributing to the psychological well-being of adults, particularly in conditions of social or personal stress. Its adaptability to different ages and functional capabilities, combined with cultural universality and accessibility, provides the potential for its broad use as a resource for enhancing quality of life and mental health in the adult population.

Annotation: The relevance of the study is stipulated by the need to strengthen Ukraine's export potential through the development of local processing of wild-growing raw materials in the context of military destabilization and logistical constraints. The purpose of the article is to comprehensively study the role of processing companies in the formation of added value, taking into account international requirements and principles of sustainable environmental management. The research methodology is based on the analysis of trade statistics, regulatory framework, company cases, and the use of logical-structural and comparative methods. The results of the study show the impact of processing on export growth, employment, and regional diversification. The findings confirm the need for clustering, certification support, and modernization. Prospects are related to the development of economic models and digital tools.

Annotation: The modern system of special education is undergoing an active transformation driven by the need to provide a high-quality educational process for students with special educational needs. Traditional approaches, despite their proven effectiveness, often prove inadequate in the face of rapidly changing socio-cultural and technological realities. Consequently, there is a growing demand for innovative methodologies—such as art-therapy practices, sensory integration, game-based and neuropsychological remedial modules, and digital tools—each of which supports the development of cognitive capacities, emotional regulation, and communication skills, thereby creating conditions for a personalized learning path and full inclusion of the child in society. These cutting-edge directions are inherently interdisciplinary and require a high level of professional training for educators, combined with sufficient resource support. Their advantages include increased learning motivation, reduced anxiety levels, improved communicative interaction, and successful integration of students into the educational environment. At the same time, challenges remain—such as staff shortages, limited material and technical resources, and a lack of robust evidence for efficacy. Nevertheless, these obstacles do not impede the rapid growth of inclusive practice and the enhancement of digital competence among teachers, setting the stage for expanded use of innovative tools designed to comprehensively support children with special educational needs. The conclusions drawn here will be of interest both to specialists examining this issue from scientific and medical perspectives and to practicing educators, psychologists, and other professionals working in the field of special education.

Annotation: The article focuses on examining consumer psychology in the automotive transportation sector to identify the key factors influencing customer satisfaction and to develop integrative strategies for enhancing the quality of service provided by transportation companies. The work considers theoretical approaches in consumer psychology, the assessment of client needs and preferences, and practical methods for optimizing operational processes. By using an analysis of other research findings as the methodology, the study investigates the interrelationships among client characteristics, their emotional perception of service, and indicators of organizational efficiency. The results confirm that service personalization, professional development of personnel, the adoption of digital technologies, and efficient feedback management represent the main avenues for improving customer satisfaction. The study fills an existing research gap by integrating psychological and operational aspects of delivering transportation services. The information presented in the article will be of interest to other researchers specializing in consumer psychology and modeling consumer behavior in the context of transportation services, as well as to marketing professionals seeking to incorporate empirical data into developing strategies that enhance customer satisfaction. Furthermore, the material will be valuable for top managers and service quality experts involved in optimizing operational processes and building customer loyalty in the highly competitive automotive transportation industry.

Annotation: This article analyzes approaches to scaling the business of manufacturing protective glass for mobile devices. The stages of the technological chain—mechanical grinding and polishing, ion-exchange chemical tempering, application of multifunctional coatings, and laser edge treatment (LET)—are examined alongside strategies for business expansion in this field. It demonstrates how supply-chain and partner-ecosystem models, together with multicriteria decision analysis (AHP, PROMETHEE), can inform optimal investment and market-selection decisions. A step-by-step industrialization plan—from pilot line to mass production—is outlined, leveraging Lean/Six Sigma and digital IoT/MES solutions. To ensure consistent quality, a comprehensive control system is proposed, incorporating optical inspection and continuous equipment-parameter monitoring. The scientific novelty lies in integrating technological, organizational-management, and digital approaches to achieve sustainable capacity growth without compromising protective-glass quality. The insights presented will interest researchers and practitioners in industrial engineering, operations management of high-tech manufacturing, strategic planning, and venture investment in the consumer-electronics sector.

Annotation: This article explores the problems and challenges of automating the analysis of compliance of software systems with Domain-Driven Design (DDD) principles. The main obstacles are identified, including the lack of standardized formal models of the domain area, the difficulty of identifying domain concepts in code without explicit annotations, the diversity of DDD practices across real-world projects, and the technical limitations of current analysis tools. The paper provides a classification of existing architectural analysis approaches, including static and dynamic code analysis, the use of metadata and annotations, domain knowledge modeling through UML and DSLs, and the application of machine learning methods. Promising research directions are outlined, focusing on the development of formal models and metamodels, the integration of compliance verification into CI/CD processes, and the creation of hybrid analysis methodologies. The study aims to contribute to the foundation for future development of tools ensuring the architectural quality of complex software systems.