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Annotation: The article explores methodological approaches to evaluating the effectiveness of digital marketing tools. It analyzes existing evaluation models (including the adaptation of the Balanced Scorecard, conversion attribution models, etc.) and classifies the main methods for measuring digital marketing performance It is concluded that a comprehensive approach combining various models, methods, and metrics is necessary for a thorough measurement of the impact of digital marketing activities on business results. Future research prospects include the development of integrated evaluation systems using big data and artificial intelligence, as well as the adaptation of evaluation methodologies to new digital platforms and tools.

Annotation: Today, when the process of making technical and technological decisions is deeply influenced by computer-aided design methods — especially the SolidWorks software family, which can rightfully be associated with artificial intelligence — the number of factors and features in technical solutions and their development up to the technical supersystem level becomes so significant that it demands localized consistency with definitions, principles, and identification methods of the entire hierarchy of technical solutions: from a local technical solution with non-adjustable technical and technological links (a subsystem), to a complex conglomerate of local technical solutions (a supersystem). It must be acknowledged that, for the first time in global practice, such classification optimization of technical solution types was achieved in the publications of a modern specialist who equally masters the methodologies and techniques of classical design and computer programming — Dmytro Sumtsov. As challenges related to the development, modernization, and optimization of technology grow more complex, isolated local solutions no longer satisfy clients. They seek paths toward the Ideal Final Result (IFR), and reality pushes them to look for compositional, integrative, and complex solutions — in full alignment with the terminology and definitions optimized by Dmytro Sumtsov in his recent publications. Issues of identifying all types and levels of technical solutions primarily affect the systemic protection of created and developing intellectual property — both at the level of active and effective subsystems and at the level of active accumulators of properties within technical supersystems.

Annotation: Modern innovative technologies require new materials that combine high thermal conductivity and high electrical conductivity in order to significantly enhance technical performance. A new composite material has been invented and developed, which possesses both high thermal conductivity and high electrical conductivity. The new composite material is capable of absorbing and dissipating significant amounts of energy within very short time intervals. The material is capable of absorbing and transmitting significant amounts of energy over a distance while maintaining maximum mechanical strength. It demonstrates exceptional reliability in preserving precise geometric shapes under the influence of high concentrations of temperature, energy, and other harmful or extreme impacts. Formulation of the new composite material as a product: ● a composite material featuring an advanced three-dimensional (volumetric) structure composed of numerous identical multi-layered spherical shells encasing spherical cores; the cores with shells (capsules) are bonded together through a series of sequential technological processes and possess an equivalent contact structure form between all capsules. ● the composite material possesses properties of ultra-high thermal conductivity and ultra-high electrical conductivity; ● the composite material exhibits high mechanical strength, is resistant to the development of internal mechanical and thermal stresses, and consequently, to the occurrence of internal deformations; ● the composite material is capable of withstanding high pressures and, under the influence of these pressures, can cause at least some of its components to enter a state of cold-flow behavior. This allows for the calibration of the three-dimensional geometric shape of the structure and ensures very precise geometric dimensions of the structure with a high degree of repeatability.

Annotation: Background: The study explores physiological differences between muscle hypertrophy and strength adaptation. Methods: Literature review, comparative analysis of training variables, and load modeling. Result: Key parameters (volume, intensity, frequency) were identified. Conclusion: Hypertrophy requires moderate intensity with high volume, while strength relies on maximal intensity. Periodization enhances outcomes.