DSpace Общество:https://er.knutd.edu.ua/handle/123456789/872026-10-23T17:31:08Z2026-10-23T17:31:08ZCultural intertextuality in contemporary youth food packagingHuang, ShanshanYatsenko, Marynahttps://er.knutd.edu.ua/handle/123456789/353542026-10-23T00:01:16Z2026-01-01T00:00:00ZНазвание: Cultural intertextuality in contemporary youth food packaging
Авторы: Huang, Shanshan; Yatsenko, Maryna
Краткий осмотр (реферат): The purpose of this research is to develop an innovative strategy for applying cultural intertextuality in contemporary youth-oriented food packaging, in response to modern consumption’s expectations for rapid legibility, social shareability, brand coherence, and cultural respect. This paper constructs a conceptual framework through literature synthesis and crosscase visual analysis. The framework establishes an analytical vocabulary and a set of design heuristics for discussing–and guiding–the responsible use of cultural references in both the creation and evaluation of youth-oriented packaging.
This research culminates in an integrated design strategy tailored to cultural intertextuality in youth food packaging. Moving beyond simple symbolic borrowing, it proposes an information-first layout logic that prioritizes a stable core information structure and then introduces intertextual cultural references to balance clarity with cultural meaning. The paper further explains how layout order and intertextual resources can be coordinated to strengthen recognizability and shareability, and it articulates heuristic prompts for design review (e.g., rapid recognition, quotability for social sharing, and cultural provenance) as discussion-oriented criteria rather than experimentally validated metrics.
Overall, this study presents a multi-component framework that links principles of visual communication with ethically
oriented referencing principles, emphasizing communication efficiency while supporting responsible cultural borrowing
in both design development and critique2026-01-01T00:00:00ZДослідження кількісних характеристик провідних розмірних ознак фігур дівчат молодшого шкільного вікуЗубкова, Людмила ІванівнаЯценко, Марина Володимирівнаhttps://er.knutd.edu.ua/handle/123456789/353532026-10-23T00:01:15Z2026-01-01T00:00:00ZНазвание: Дослідження кількісних характеристик провідних розмірних ознак фігур дівчат молодшого шкільного віку
Авторы: Зубкова, Людмила Іванівна; Яценко, Марина Володимирівна
Краткий осмотр (реферат): Мета. Дослідження кількісних характеристик провідних розмірних ознак фігур сучасних дівчат молодшого шкільного віку для визначення антропометричної інформації, достатньої для промислового виробництва дитячого одягу. Методика. У роботі використано контактний метод отримання антропометричної інформації, що характеризує фігуру дитини. Результати. Відсутність оновленої стандартизованої антропометричної інформації про типи дитячих фігур призводить до виготовлення у промисловому виробництві неспіврозмірного одягу. Це вимагає проведення дослідження відповідності типовим фігурам сучасних дітей з метою перегляду галузевих стандартів. Встановлено, що тільки 66,7% типових фігур дівчат 9,5–11,5 років представлено в стандарті молодшого шкільного віку, а майже 30% - в стандарті дівчат старшої шкільної вікової групи. Крім того, встановлено кількісний зсув наявних типових фігур в сторону 11 повнотної групи. Наукова новизна. На основі аналізу кількісних характеристик провідних розмірних ознак сучасних типових фігур дівчат молодшого шкільного віку розрахований відсотковий розподіл типорозмірів у вибірці та встановлений перелік типових фігур, які представлені у діючому стандарті. Практична значимість. Визначено типологічний склад фігур дівчат молодшого шкільного віку за сполученням величин провідних розмірних ознак для забезпечення підвищення рівня задоволеності цієї групи дітей одягом масового виробництва.2026-01-01T00:00:00ZAdapting Intelligent Digital Technologies in Modern Higher Humanities Education and Research Management: Adaptation Strategies for Extreme Turbulence and Systemic Risk (Under SHIVA and WARMI Environmental Conditions)Krasniuk, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353522026-10-23T00:00:57Z2026-09-01T00:00:00ZНазвание: Adapting Intelligent Digital Technologies in Modern Higher Humanities Education and Research Management: Adaptation Strategies for Extreme Turbulence and Systemic Risk (Under SHIVA and WARMI Environmental Conditions)
Авторы: Krasniuk, Svitlana
Краткий осмотр (реферат): This publication explores the specifics, features and directions of adaptation of digital intellectual technologies in the management of modern higher humanitarian education and science in the conditions of SHIVA and WARMI environments. The relevance of hybrid intelligent information technologies that combine the capabilities of AI, Big Data, expert systems and human knowledge is substantiated. The key areas of their application, the potential of proactive and anti-crisis management, as well as the main technological, organizational and ethical risks are identified. An adaptive human-centric approach to the intellectualization of the management of humanitarian education and science is proposed2026-09-01T00:00:00ZAdapting Smart and Knowledge-Based Technologies in the Management of Modern Philological Education and Research: Navigating Environmental Dynamic Uncertainty and External Systemic RisksGoncharenko, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353512026-10-23T00:00:56Z2026-09-01T00:00:00ZНазвание: Adapting Smart and Knowledge-Based Technologies in the Management of Modern Philological Education and Research: Navigating Environmental Dynamic Uncertainty and External Systemic Risks
Авторы: Goncharenko, Svitlana
Краткий осмотр (реферат): The article explores the specifics, features and directions of adaptation of intellectual knowledge-based technologies in the management of modern philological education and science.
The possibilities of their application for knowledge management, personalization of education, support of scientific research and increasing the stability of organizations in conditions of uncertainty, turbulence and systemic risks are determined. The need to combine intellectual technologies with human expert potential is substantiated.2026-09-01T00:00:00ZPeculiarities and Adaptation of Big Data Technologies in Contemporary Translation Studies under High-turbulence Environment and Systemic RiskKrasniuk, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353502026-10-23T00:00:56Z2026-09-01T00:00:00ZНазвание: Peculiarities and Adaptation of Big Data Technologies in Contemporary Translation Studies under High-turbulence Environment and Systemic Risk
Авторы: Krasniuk, Svitlana
Краткий осмотр (реферат): The article explores the specifics, features and directions of adaptation of Big Data technologies in modern translation studies in conditions of uncertainty, turbulence and systemic risks of the external environment. The possibilities of using big linguistic data for the analysis of corpora, terminology, translation quality and improvement of machine translation are determined. The prospects of integrating Big Data with artificial intelligence, machine learning and expert technologies for the formation of adaptive hybrid systems of modern translation studies are substantiated.2026-09-01T00:00:00ZFeatures of Hybrid Machine Learning in Modern Computational Linguistics: Navigating Systemic Risks, Turbulence and Uncertainty Through the Lens of SHIVA and WARMI ParadigmsKrasniuk, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353492026-10-23T00:00:55Z2026-08-20T00:00:00ZНазвание: Features of Hybrid Machine Learning in Modern Computational Linguistics: Navigating Systemic Risks, Turbulence and Uncertainty Through the Lens of SHIVA and WARMI Paradigms
Авторы: Krasniuk, Svitlana
Краткий осмотр (реферат): The article explores the features and specifics of hybrid machine learning in modern computational linguistics in conditions of dynamic uncertainty, turbulence and systemic risks. The main directions of hybridization of neural, symbolic, statistical and linguistic methods are considered, as well as the possibilities of integrating large language models, knowledge graphs and adaptive learning mechanisms. The prospects of hybrid architectures for increasing the accuracy, stability, adaptability and comprehensibility of intelligent linguistic systems in conditions of SHIVA and WARMI paradigms of the external environment are substantiated.2026-08-20T00:00:00ZBig Data Technologies in Modern Linguistic Tectology: Managing Systemic Risks and Environmental TurbulenceGoncharenko, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353482026-10-23T00:00:55Z2026-08-20T00:00:00ZНазвание: Big Data Technologies in Modern Linguistic Tectology: Managing Systemic Risks and Environmental Turbulence
Авторы: Goncharenko, Svitlana
Краткий осмотр (реферат): The article explores the specifics, features and prospects for the development of Big Data technologies in modern linguistics in the context of the dynamics of uncertainty, turbulence and systemic risks. The possibilities of big data for corpus, sociolinguistic, discursive and intellectual analysis of linguistic information are revealed. The key problems of representativeness, data quality, algorithmic distortions and ethical limitations are identified. The prospects for integrating Big Data with artificial intelligence, machine learning and predictive analytics are substantiated.2026-08-20T00:00:00ZSpecific Characteristics of Intelligent Information Technologies in the Innovative Governance of Philological Education: Navigating Complexities of the Warmi EnvironmentGoncharenko, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353472026-10-23T00:00:53Z2026-08-26T00:00:00ZНазвание: Specific Characteristics of Intelligent Information Technologies in the Innovative Governance of Philological Education: Navigating Complexities of the Warmi Environment
Авторы: Goncharenko, Svitlana
Краткий осмотр (реферат): The article explores the features and specifics of the application of intelligent information technologies in innovative management of philological education in the WARMI environment. The directions of intellectualization of educational management are determined, the possibilities of natural language processing technologies, Big Data and generative artificial intelligence are revealed. Special attention is paid to the prospects of hybrid intelligent technologies as the basis for adaptive and human-centric development of philological education.2026-08-26T00:00:00ZApplying Evolutionary Computing and Technologies to Textual Criticism and Source Studies in the Era of SHIVA and WARMI PhilologyGoncharenko, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353462026-10-22T00:00:54Z2026-08-08T00:00:00ZНазвание: Applying Evolutionary Computing and Technologies to Textual Criticism and Source Studies in the Era of SHIVA and WARMI Philology
Авторы: Goncharenko, Svitlana
Краткий осмотр (реферат): The article considers the features of the application of evolutionary computations and evolutionary technologies in modern research in textology and source studies in the conditions of SHIVA and WARMI paradigms. The possibilities of using genetic algorithms and other methods of evolutionary optimization for text reconstruction, analysis of historical sources and intellectual processing of large text corpora are shown. The prospects of their integration with artificial intelligence and machine learning technologies in modern philology are substantiated.2026-08-08T00:00:00ZSpecific Features and Distinctive Aspects of Machine Learning in Modern Computational Linguistics AMID SHIVA- and WARMI-WorldGoncharenko, Svitlanahttps://er.knutd.edu.ua/handle/123456789/353452026-10-22T11:14:25Z2026-08-16T00:00:00ZНазвание: Specific Features and Distinctive Aspects of Machine Learning in Modern Computational Linguistics AMID SHIVA- and WARMI-World
Авторы: Goncharenko, Svitlana
Краткий осмотр (реферат): The article considers the features of the application of machine learning technologies in modern machine linguistics in the conditions of uncertainty, turbulence and systemic risks (SHIVA and WARMI concepts). The main directions of using machine learning methods in natural language processing, their advantages, limitations and development prospects are analyzed. The role of intelligent algorithms in the digital transformation of modern philology is shown.2026-08-16T00:00:00Z