Annotation: The article is devoted to an experimental study aimed at identifying the features of the influence of mental arithmetic classes on the mental and creative abilities of children aged 7–9. The relevance of the topic is determined by the growing interest in accelerated development programs that allow developing in younger students not only computational skills, but also creative thinking, auditory and visual memory, and reaction speed. The novelty of the study lies in the integrated approach, which highlights the dynamics of key indicators (auditory memory, arithmetic speed, and creativity indicators) and analyzes their relationship with the systematic practice of counting on an abacus. The work describes intermediate and final results, analyzes parent questionnaires, and conducts interviews with teachers. Particular attention is paid to monitoring children's fatigue and ability to come up with innovative solutions. The work aims to illustrate how parallel activation of the left and right hemispheres through mental arithmetic techniques affects the formation of cognitive interest. To achieve the goal, a comparative method, source analysis, and statistical data processing were used. The publications of researchers indicating the positive effect of interhemispheric interaction were studied. The conclusion describes the results of the experiment and the prospects for introducing mental arithmetic into school practice. The article will be useful for teachers, psychologists, and parents looking for innovative ways to develop children's intellectual resources.

Annotation: This article examines the phenomenon of low-code and no-code platforms, their impact on web development, the mobile app market, and the labor market. It examines the advantages and limitations of such platforms, their role in business, and potential implications for professional programmers. Based on the analysis of current trends, data, and use cases, it is concluded that low-code and no-code technologies do not replace traditional development, but transform it, creating new opportunities and challenges. The article also examines the long-term prospects of these technologies and their impact on the IT industry as a whole.

Annotation: The study focuses on improving inventory management efficiency through accurate demand forecasting. It provides an overview of key statistical methods (ARIMA, exponential smoothing) and modern machine learning techniques (decision trees, neural networks), along with their hybrid versions. The impact of forecast accuracy on critical logistics aspects—inventory levels, safety stock, turnover rates, and shortage risks—is examined. Successful implementation practices in leading companies are analyzed, highlighting the economic benefits achieved. The author's contribution includes recommendations on selecting and adapting models to the specifics of logistics processes, as well as proposals for integrating demand forecasting with other elements of supply chain management.

Annotation: This article provides a comprehensive analysis of the beauty market to identify the prospects for the development of the beauty business amid rapid digitalization and the transition to sustainable development. The study relies on analytical materials that highlight the transformation of marketing strategies employed by both domestic and international cosmetic brands. Particular attention is given to analyzing the impact of the digital economy on consumer behavior, changes in market structure, and key factors driving sales growth, including the shift toward a multichannel model with an emphasis on online commerce. The article also explores the opportunities and challenges associated with integrating sustainable development principles and circular economy practices in the beauty industry, which contribute to minimizing the environmental footprint of production and enhancing corporate social responsibility. The presented findings will be of interest to researchers in the fields of innovation economics and strategic management, as well as to beauty industry professionals seeking to optimize managerial decision-making in the context of dynamic market transformations. Additionally, the insights provided in this study hold significance for investors, corporate strategists, and government authorities involved in designing policies to support innovation-driven growth and enhance global market competitiveness.

Annotation: The complex of new, still rather unusual conditions and requirements at all stages of design, production preparation, and comprehensive production aimed at forming the capabilities and specifics of so-called smart industries, machines, transport, technologies, and smart workplaces in all industries—including medicine, science, specialist training, and agriculture—forces a revision of the established order of things and necessitates the search for new organizational and technical solutions to meet the emerging conditions. Forecasting the development directions and concepts for forming so-called smart tools and devices in the technological field of specialized integrative instruments, primarily medical devices and complex disposable instrumentation based on laser diodes and modern fiber optics. The strategic importance of high-speed identification of smart tools and devices in real-time conditions and their use in analytical blocks of control and management systems of artificial intelligence and artificial neural networks. The reliability of supersystems of basic technical solutions in optical instruments and tools, achieved through the improved efficiency and reliability of electronic block subsystems using encapsulated composite materials and electronic printed circuit board production technologies that apply hierarchical construction principles inherent to RHYTHM technologies and their combinations. Ensuring the required level of processor technology speed in control and management units using advanced methods for manufacturing thin-film microassembly boards, including the use of flexible automated production modules and high-speed electrochemical and galvanic coating methods that implement processes without the negative influence of edge electrode effects and with electrochemical cells operating in a directed electrolyte flow.

Annotation: In this publication, the author revisits the issue of three-dimensional hydraulic shape memory in emulsions obtained using a proprietary complex method and a multifunctional apparatus invented specifically for this purpose. The technology and apparatus were tested on a water-in-oil emulsion, where diesel fuel No. 2 was used as the oil phase and regular drinking water with a hardness salt concentration of up to 200 mg/L was used as the aqueous phase. During the design of the test bench, the latest trends in the application of emulsions as fuel were taken into account, including their use in modern diesel engines, diesel generators, industrial boilers, and turbines. For diesel engines and boilers, one of the most challenging aspects of the fuel injection and combustion process is fuel flow separation before the high-pressure pump. In this stage, the majority of the fuel flow is directed to the high-pressure pump (which today operates at pressures of 2000 bar and above) before being injected into the combustion chamber of a boiler or the cylinders of an engine, while a smaller portion is returned to the fuel tank. When using conventional single-component diesel fuel, this principle does not cause any issues. However, in the case of emulsified fuels, such a fuel supply method leads to instability in the emulsion, disrupting its homogeneity and uniform distribution of water and oil (diesel fuel) throughout the volume.

Annotation: In modern conditions, where new ideas are constantly emerging and, as a result, spontaneously identical ideas may arise in parallel across different developer structures in various countries, the tasks of correctly classifying and identifying innovative solutions based on TIPS formulations and definitions become particularly significant. At the same time, issues of patent protection are becoming an increasingly crucial element in the development of projects. Not long ago, most invention topics had a fairly localized nature, and the positive effect of their application was determined and identified relatively simply. Today, as computer-aided design methods—particularly those from the SolidWorks software family, which can justifiably be identified with artificial intelligence—have deeply permeated the process of making technical and technological decisions, the number of facts and features of technical solutions and their evolution up to the level of technical super-systems has grown significantly. This necessitates a localized alignment with definitions, principles, and methods for identifying the entire hierarchy of technical solutions, ranging from local technical solutions with non-regulated technical and technological connections to complex, highly intricate conglomerates of local technical solutions. Since the issues of identifying all types and levels of technical solutions primarily affect the ability to systematically protect existing and emerging intellectual property—both at the level of active and efficient subsystems and at the level of active accumulators of subsystem properties and characteristics, i.e., technical supersystems.

Annotation: This scientific article presents an innovative concept of adaptive eyelash extension based on a detailed analysis of the biological growth cycles of natural eyelashes. The methodology developed by Mariia Chebanenko offers a systematic approach to the extension procedure, taking into account the physiological characteristics of each eyelash depending on its growth phase (anagen, catagen, telogen). The study demonstrates that the individual selection of artificial eyelash parameters (length, thickness, curl, volume) in accordance with the physiological state of natural lashes significantly extends the retention period, minimizes discomfort, and the most important thing it’s prevent negative effects on the client's eyelash health. Biomechanical aspects of various extension techniques' impact on eyelash structure are examined, and the advantages of the adaptive methodology over traditional approaches are analyzed. The article also addresses issues of age-related changes in eyelash structure and offers strategies for adapting extension techniques to the individual characteristics of clients of different age groups.

Annotation: This study explores the psychological and economic prerequisites for the formation of demand for tourism services, taking into account not only travelers' incomes but also stable personality traits, values, and motivations. The relevance of the topic is due to the fact that classical economic models, which rely solely on demographic and financial parameters, often prove insufficiently accurate in predicting actual consumer behavior in the tourism sector. The novelty of this work lies in the proposal of an expanded approach that integrates elements of behavioral economics and psychological variables into traditional models of tourism demand. The study describes various ways to account for personality factors, cognitive biases, and emotional engagement of tourists, as well as an analysis of existing research confirming the significance of these factors in route selection and expenditure distribution. Particular attention is given to comparing models that incorporate social preferences and motivational attitudes. The objective of this study is to demonstrate the advantages of a comprehensive approach that considers both economic and psychological determinants. The findings may be useful for tourism and marketing professionals in designing products and forecasting travelers' expenditure structures.

Annotation: (Українська) Автомобільний спорт є однією з найдинамічніших і найвимогливіших дисциплін, що потребує високого рівня фізичної, технічної та психологічної підготовки. Попри стереотипи, жінки все частіше беруть участь у професійних автоперегонах, доводячи свою конкурентоспроможність. Вивчення особливостей їхньої підготовки дозволяє оптимізувати тренувальні методики та сприяти залученню жінок до автоспорту. Метою статті є аналіз специфіки підготовки жінок до автомобільних змагань та розробка рекомендацій щодо вдосконалення їхнього тренувального процесу. Основні завдання включають: дослідження фізіологічних та психологічних особливостей жінок в автоспорті; аналіз методів фізичної, психологічної та технічної підготовки; визначення основних бар’єрів та факторів успіху у жіночому автоспорті.