Ukrainian Academy of Printing

Neuroimaging plays a central role in modern neuroanatomy education and neurological diagnosis, yet its roots trace back to the foundational era of X-ray technology. This article examines the historical trajectory of early X-ray methods, with particular focus on the pioneering, though often overlooked, contributions of Johann Puluj. Although early X-rays could not image the brain or spinal cord, they enabled detailed imaging of the skull and vertebral column, structures essential to neuroanatomical understanding. Puluj's innovations, including the use of an inclined anticathode, led to high-quality skeletal radiographs, such as the first published full-body X-ray of a stillborn infant taken on February 2, 1896, and published in the Prague newspaper on February 11 and in a British professional journal in April of the same year. These images laid the groundwork for radiographic anatomy and served as early teaching tools in medical education. By correlating skeletal changes with neurological conditions such as increased intracranial pressure, neurofibromatosis, or congenital malformations, plain radiographs established the early logic of clinical neuroimaging. The conceptual frameworks they introduced for understanding neuroanatomy, for teaching its principles, and for applying them in clinical practice were subsequently expanded by the advent of more advanced dynamic radiographic techniques. Recognizing Puluj's pioneering contributions to the history of X-ray discovery not only restores accuracy to the scientific record but also emphasizes the lasting educational significance of early imaging practices. This study highlights the importance of incorporating historical perspectives into neuroanatomy curricula to enrich learners' appreciation of modern imaging techniques and their foundational origins.

Phantom limb pain (PLP) is a common condition after limb amputation which is notoriously difficult to treat. The Russian full-scale invasion of Ukraine has resulted in over 100,000 people with amputated limbs and persistent PLP. This study reports on the feasibility of implementing two novel treatment approaches, Phantom Motor Execution (PME) and Progressive Motor Training (PMT), during the Russian war on Ukraine. PME and PMT follow the principle of facilitating motor training of the phantom limb and are grounded on the Stochastic Entanglement hypothesis for the pathogenesis of PLP. PME employs myoelectric pattern recognition on residual limb muscles to control virtual and augmented reality environments (mixed reality). PMT uses mixed reality to guide patients to imagine or execute predefined movements according to their evolving motor skills, and it is suitable for patients where myoelectric signals are not viable. Nineteen participants with major limb amputation were treated with PME (N=8) and PMT (N=11). Participants who completed 9 sessions reported a reduction of PLP greater than 50%. Participants received half of the training time per session and less sessions than reported in previous studies, yet clinically meaningful pain reductions were observed. This study demonstrates the feasibility of implementing PME and PMI for the treatment of PLP during war time and constraint resources. Ukrainian clinicians found the technologies and treatment approaches efficient and effective at reducing PLP and have introduced them as part of their clinical practice.

Виконано регіональний прогноз пластових вуглеводневих систем для нафтових родовищ Внутрішньої зони Передкарпатського прогину, територія якої була умовно розділена на 6 ділянок, що охоплюють окремі родовища та їх структурні блоки. Встановлено закономірності поширення різних типів вуглеводневих систем, що дає змогу прогнозувати їх на значних глибинах в областях високих температур і тисків на початкових стадіях пошукових робіт. Особливість встановлення цих прогнозних показників полягає в тому, що термобаричні параметри залягання та фізичні параметри пластових нафт розглядаються як усереднені об'єднані величини в межах єдиної, цілісної Внутрішньої тектонічної зони. Специфіка зміни кожного з них також була єдиною і вимушено розповсюджувалася на всю територію зони. Глибини заміщення флюїдів параметрів. Для сучасного етапу фундаментального вивчення нафтогазоносності Карпатського регіону цього недостатньо. Високі пластові температури тільки підсилюють інтенсивність процесу розділення флюїдів. У кінцевому підсумку, коефіцієнт вилучення нафт звичайного типу з покладів залишається низьким, а у випадках розробки нафт перехідного стану — дуже низьким. Крім того, виникає важлива і на даний час маловивчена проблема міцності структури колектора. Під час розробки нафтових покладів на будь-якому режимі (пружному чи розчиненого газу) пластовий тиск неминуче знижується. У роботі побудовано графіки залежності прогнозних параметрів, що входять у формулу підрахунку запасів вуглеводнів об’ємним методом, відносно глибин залягання покладів. Виведено рівняння регресії для прогнозування цих параметрів, які були використані в поєднанні з лабораторними дослідженнями термобаричних умов (тиску і температури) залежно від глибини. Відомості про ці умови необхідні для обчислення окремих параметрів вуглеводневих систем.

The research focuses on the problem of forming an effective information and analytical support system for adapting financial management in e-commerce enterprises to dynamic market changes. The research methodology includes the use of hybrid forecasting methods based on ARIMA-GARCH and neural networks, digital twin modeling of business processes, real-time stream analytics, approaches to AI-based threat analytics in cybersecurity, and dynamic AI pricing with elements of hyper-personalization. The theoretical significance of the study lies in the development of an integrated model that ensures interconnection between analytical, automated, protective, and adaptive components of financial management. The applied value lies in the creation of practical tools for improving forecast accuracy, optimizing costs, reducing financial risks, and enhancing customer interaction in the digital economy. The research results demonstrate that the proposed information and analytical support system enables e-commerce enterprises to adapt financial management to market changes more precisely, rapidly, and securely, while ensuring increased profitability and competitiveness.

Abstract. An overview of the printing industry primary measures regarding the balanced implementation of the sustainable development goals at the regional level was carried out. Based on the latest works analysis in the direction of the enlargement of branch waste management systems, the solutions insufficiency for the limited financial situations of small businesses is revealed, and the relevance of finding optimal means of gathering segregated waste and their temporary storage at the enterprise is shown. The criteria have been established and the stratification of typical categories of orders the operational printing has been carried out according to print run and rest volume. The requirements for the collection and storage of waste raw materials and consumables have been clarified and expanded, in particular regarding the provision of microclimatic conditions. In order to model effective business processes of pro­duction residues management, the construction of a universal complex for target cumulative of pre-segregated substrate scraps in the form of a smart container with a weighing terminal is substantiated. For flexible allocation of corporate flows, the hardware part is implemented from measuring, supervisory and communication blocks depending on their purpose in the automated microprocessor platform. The researched printing waste types the built algorithm of the life cycle of their cumulating made it possible to draw up an architectural diagram of segregator system and determine the main components hierarchy of printing waste receptacle when order manufacturing. As a result, analytical models were built and the modeling of automated complex of segregated residues gathering in operational printing was carried out based on created microcontroller system for monitoring of mass and climate control of cumulated surpluses to maintenance proper conditions their subsequent recycling.

The main purpose of the article is to determine optimal updates for technical and technological support for personnel management. The object of the study is the personnel management system of a modern rural enterprise. The scientific task involves determining which innovative updates need to be carried out first to improve the technical and technological support of personnel management. The research methodology involves the use of the hierarchical evaluation method, the even comparison method, the expert ranking method, and the abstract-logical method. As a result of the study, three levels of technical and technological support for personnel management were identified. The main innovative updates for technical and technological support for personnel management are presented. It has been determined that the most optimal tactical solution for a modern rural enterprise is the use of artificial intelligence and a digital database. A model of using certain innovative updates in the system of technical and technological support for personnel management has been constructed.

INFORMATIONSTECHNOLOGIEN UND -SYSTEME All rights reserved | CC BY-SA 4.0 www. logos-science.com 24. Mai 2024; Zürich, Schweiz ABSCHNITT 17. INFORMATIONSTECHNOLOGIEN UND -SYSTEME 201 www.logos-science.com All rights reserved | CC BY-SA 4.0 24. Mai 2024; Zürich, Schweiz ABSCHNITT 17. INFORMATIONSTECHNOLOGIEN UND -SYSTEME 203 www.logos-science.com All rights reserved | CC BY-SA 4.0

3D modeling technology, as well as additive manufacturing, has changed the processes of industries, allowing the creation and production of complex and unique prototypes with increased speed and versatility. However, the effectiveness of additive manufacturing is primarily based on the capabilities of the 3D design software used to create these objects. The state of 3D modeling software in additive manufacturing currently has both advantages and disadvantages: existing tools have basic design support functionality, but they often lack the ability to optimize designs for increased efficiency and productivity. This inspires research into how to incorporate artificial intelligence into 3D modeling software to solve these problems and improve the additive manufacturing process. Using artificial intelligence techniques such as machine learning and generative design, the accuracy and efficiency of 3D models can be significantly improved, leading to improved manufacturing efficiency. However, integrating artificial intelligence into existing 3D modeling software faces challenges related to compatibility, data management, and user acceptance. With a discussion of this topic and a show demonstrating the successful implementation of AI in 3D modeling for additive manufacturing, the impact of AI-enhanced software on the industry is clear. This article aims to explore the current state of 3D modeling software in relation to additive manufacturing, discuss how AI can be used for optimization, and assess the implications and possible future steps of integrating AI into 3D modeling to improve efficiency in relation to additive manufacturing. production.

Today, flexographic printing technology is dominant in packaging production. Therefore, the research on factors affecting the quality of imprints obtained by flexographic printing, in particular on film materials, is relevant. A comparison of the quality of flexographic imprints on PET obtained at different printing speeds was made. Control charts for the measured imprint indicators (optical density, raster dot compression, contrast, print stability) were constructed. In the process of analysis, some deviations from the standards were found, in particular optical density, which can be related to the change in viscosity of the ink in the process of increasing the printing speed. Using optical and electron microscopy, the influence of the parameters and cell structure of the anilox roller on the shape and size of the raster dots on the imprint was investigated. Based on microscopic studies of the surface and morphological structure of the substrates, the influence of the surface topography of the film materials on the densitometric and colourimetric indicators of the printed images was confirmed. The analysis of the phenomena of the interaction of ink with the film material during the imprint’s formation in the process of high-speed printing was carried out. Using the method of morphological analysis, the effectiveness of the interaction of the main influencing factors on the quality of printed images on packaging made of film materials was determined. A multi-level hierarchical model has been developed, which takes into account the factors affecting the quality of flexographic imprints during the production of packaging.

Organizational and economic support for facilitating the functioning and development of the Publishing and Printing Cluster has been developed. An algorithm for formation and a program of recommended actions for regional authorities to support the activity and development of the Publishing and Printing Cluster are proposed. A simulation model of the core of the cluster of publishing and printing activities has been developed based on the technological connections that arise between the members of the association. The methodological approach to assessing the interest of the cluster integration and the potential member of the association, which is based on the resource concept, has been improved.