Academy of Arts

W artykule skupiono się na problemie współczesnych interwencji architektonicznych w otoczeniu historycznych obiektów powstających w procesie przebudowy portów w wybranych miastach europejskich — w Lyonie i Marsylii. Przykłady ukazano na tle transformacji, a także procesów rozwojowych analizowanych miast europejskich. Omówiono szeroko wybrane współczesne realizacje zlokalizowane w dawnej tkance portowej przy historycznych obiektach. Odniesiono się do postaw kształtujących podejścia do interwencji w procesie wprowadzania nowoczesnych obiektów w zabytkową tkankę. Badania oparto przede wszystkim na studiach in situ, a także online — za pośrednictwem aplikacji Google Earth Pro oraz na badaniach literatury przedmiotu i przeglądzie dokumentów planistycznych oraz studium przypadku. Przeanalizowane obiekty stanowią kluczowy element interwencji urbanistycznych. Ich awangardowe formy i stylistyka charakterystyczna dla nurtu nowego dekoracjonizmu tworzą współczesne innowacyjne wizerunki miast.

We present Echoing Verses, an Augmented Reality (AR) system that demonstrates a novel framework for generating dynamic, place-based narratives. Current AR applications for cultural tourism often rely on static content and generic interactions, which can limit user immersion and emotional connection to a site. To address this, we propose a conceptual framework grounded in the theory of locative narrative. This framework structures situated content generation across four key dimensions: Geospatial, Environmental, Cultural-Historical, and Embodied. We implemented this framework in an AR application that generates real-time, contextual poetry based on multi-source data, including GPS, live weather, and local cultural records. The system features an embodied breath-based interaction, allowing users to engage with the narrative in an intuitive and poetic manner. This paper contributes: a) a conceptual framework for generative, place-based AR content, and b) the design and implementation of a complete system that validates the framework’s potential. Our work offers a new path for creating more dynamic, personal, and deeply situated AR experiences in cultural tourism.

The article is an analytical review of domestic and foreign studies of corporate culture management, which is considered to play an important role in successfully overcoming modern challenges and risks in various fields, including risks of technological and innovative development. The article shows that one of the priority areas of research has become the study of types of corporate organizational culture and their corresponding targeted management strategies aimed at ensuring the sustainability, adaptability and competitiveness of organizations. Change management and the formation of an innovative culture in organizations is becoming another priority of modern research on the management of corporate culture. Corporate communication management is considered as the basis for the successful implementation of innovative changes and the sustainability of the organization in a dynamic environment. The role of modern corporate universities in the management of innovative development is particularly noted. In this context, the importance of research devoted to substantiating the principles and mechanisms of conducting a well-thought-out and consistent policy on the formation of corporate culture, corporate style, promotion of corporate image and reputation is revealed. In the context of active digital transformation, including the field of education, a trend has been identified towards the study of digital corporate culture, which is becoming a competitive advantage today. In this regard, the study of the parameters and indicators of digital corporate culture appears to be an urgent scientific task. The further formation of an empirical base and the development of a theory of corporate culture remain in demand. An analytical review of the scientific literature confirms the gradual formation of an appropriate conceptual and methodological basis for the study of the problem. The aim of the project is to systematize the scientific results of relevant research works, generalize the main conceptual and methodological solutions in the study of problems of corporate innovation culture management, and identify established and promising areas of research. Methodology. The principles of the methodology of the systematic approach were used, qualitative analysis and theoretical generalization were carried out.

The article provides an express analysis of the results of research by domestic scientists and experts on the organization and management of military communications in the pre-war period and during the Great Patriotic War, which have a number of common features with the modern military-political situation. It was revealed that the subject of the research was personnel training, the technical component of the problem, different types of military communications; historical experience and development prospects, protection of military communications in difficult conditions, involvement of civilian specialists in solving military communications problems, management efficiency as the most important condition for victory in an armed confrontation. Attention is focused on the development of modern technologies in the field of communications in NATO countries and their use in the war with Russia. A tendency is determined to transition from «direct-flow communications» to network-centric operations that ensure the exchange of information by all types of communications, the basis of which is the use of mobile wireless communications, and then to mobile peer-to-peer MANET networks with military application G5 with virtualization of network elements. An increase in the attention of foreign scientists and experts to the management of military communications with the beginning of the special military operation in Ukraine is noted. It is noted that war stimulates the development of various modern communication technologies, the use of artificial intelligence, which contribute to increasing the level of troop control. The aim of the project is to generalize domestic military-historical experience, modern foreign experience and their possible use in developing issues of organizing state and military management, military communications in modern operations using new means of armed struggle, in the practice of training troops and theaters of military operations in relation to communications. The main task is to identify the main trends in its development and determine the role and significance of military communications in ensuring the state security of Russia within the framework of a comparative analysis of the historical and modern experience of using military communications by enemy troops. The research is based on comparative methods, which allows us to carry out the necessary qualitative analysis and identify the main trends of modern development in the field of military communications and formulate a theoretical generalization.

This study presents the results of an investigation into the organic components of milk in Holstein-Friesian cows during early lactation, with a particular emphasis on analyzing key biochemical parameters—specifically protein and fat—and their interrelationship. Special attention was given to evaluating the correlation between these components in order to identify cows experiencing a pronounced negative energy balance during early lactation, while simultaneously aiming to prevent metabolic disorders and reproductive complications. The research was conducted on 90 Holstein-Friesian dairy cows at an early stage of lactation, on a farm located in the municipality of Dimitrovgrad. Routine sampling for milk biochemical analysis was used for this purpose, focusing on fat and protein content and their ratio. The analysis was performed using a Milkoscan device. The results indicate that the energy status of high-yielding dairy cows has a significant influence on their production performance, reproductive efficiency, and overall health.

Purpose This study aims to investigate the coupling coordination relationship between new infrastructure construction (NIC) and high-quality development (HQD) from the perspective of urban agglomerations, analyse its spatial-temporal evolution characteristics and reveal the underlying driving mechanisms. Design/methodology/approach This study focuses on the Shandong Peninsula urban agglomeration. By creating an indicator system for NIC and HQD, the study explores the coupling coordination degree (CCD) by employing the entropy weight approach and CCD model. Furthermore, it analyses the spatial-temporal evolution characteristics and influencing factors by using nonparametric kernel density estimation, the Dagum Gini coefficient and the Tobit panel regression model. Findings 1) Over time, the developmental levels of NIC and HQD within urban agglomerations and their CCD have shown a steady upward trend. (2) In terms of spatial distribution, the CCD between NIC and HQD within urban agglomerations exhibits a “core-periphery” structure. (3) The CCD of NIC and HQD is influenced by various factors. Originality/value Current research mainly emphasises national and provincial levels, exhibiting a paucity of studies centred on urban agglomerations. Most studies emphasise the effect of NIC on specific fields, indirectly exploring its role in HQD. However, a systematic understanding of the overall development trends of both is lacking. This study provides quantitative support for policies aimed at building a modern NIC system and advancing HQD collaboratively within urban agglomerations.

With the rise of smart education and digital classrooms, there is an increasing demand for intelligent, automated, and accurate evaluation of teaching quality. This paper presents the design and development of an intelligent classroom teaching quality assessment system based on Transformer models, leveraging the model's powerful capabilities in handling multimodal, sequential, and contextual educational data. The system integrates video and audio recordings, student feedback, interaction patterns, attendance data, and real-time classroom analytics to evaluate key teaching indicators such as instructional clarity, student engagement, content delivery efficiency, and emotional tone. The core of the model is a multimodal Transformer architecture combining Vision Transformers (ViT) for analysing classroom video frames and BERT-based models for processing textual data, including feedback and transcripts. A dataset comprising over 1,500 annotated classroom sessions from smart classrooms across several universities, combined with expert evaluation scores, was used to train and validate the model. The proposed system achieved an overall assessment accuracy of 95.4 %, F1score of 94.1 %, and an evaluation time reduction of 60 % compared to manual observation methods. The platform provides real-time dashboards, heat maps of student engagement, and AI-generated feedback reports, making it a valuable tool for teachers, academic administrators, and education quality assurance units. This Transformer-based intelligent evaluation system marks a significant advancement in data-driven, scalable, and objective teaching quality assessment in the digital learning environment.

Abstract This study addresses the task of automatic dialect identification within the Somali language, focusing on its two primary dialects: MAXAA TIRI and MAAY. Somali, spoken by over 22 million individuals, presents significant dialectal diversity, which poses challenges for downstream NLP applications such as sentiment analysis, machine translation, and information retrieval. To bridge this gap, the study constructs and annotates a representative dataset of 3,011 text samples collected from diverse sources including social media and formal documents. The study evaluates a range of machine learning and deep learning models namely Naive Bayes, Support Vector Machines (SVM), and Bidirectional Long Short-Term Memory (BiLSTM)—to classify text based on dialectal features. Our results demonstrate high performance, with Naive Bayes and BiLSTM models achieving classification accuracies of 99.86% and 99.57%, respectively. To ensure generalizability, we apply rigorous validation methods, including cross-source testing and real-world deployment through a web-based interface. This research contributes a novel dataset, benchmarks several AI models for Somali dialect identification, and provides foundational insights for advancing low-resource language processing.

This paper explains the ethical implications of artificial intelligence (AI) development towards achieving the level of artificial general intelligence (AGI) and analyzes the need for its social control. With the acceleration and intensification of AI growth and development, especially with the ongoing AI race, the transition from narrow AI to AGI becomes certain. The achievement of generative AI, which climaxes with chatbots (such as ChatGPT and others), transforms AI into a machine capable of creation. Although this AI application still appears relatively limited by algorithms, its learning ability is remarkable, and continuous advancements and the launch of increasingly sophisticated versions bring it ever closer to the AGI model. Each day brings us closer to that moment, which will signify AI’s transition from narrow AI to AGI. Unlike narrow AI, AGI deeply delves into the realm of ethics, and interpersonal and social relationships. Regulating AI-related policy and legally controlling AI represents one of the most serious and complex issues. In recent years, the community, led by corporate executives developing AI, prominent experts, researchers, scientists, writers, and other stakeholders, has made significant steps towards raising public awareness of the risks posed by advanced AI and making decisions, initiatives, and measures for monitoring, analyzing, and socially controlling the use of AI.