The paper offers a comprehensive overview of the INSAM Journal of Contemporary Music, Art and Technology, focusing on its editorial policies, structure, and research profile within the broader context of regionaland global academic publishing related to music and arts. Through an analysis of fourteen issues published between 2018 and 2025, the paper traces the journal?s development, its transdisciplinary orientation, and its commitment to open-access publishing. It further examines how the journal?s ?technoscape? connects artistic research, music, and technology, positioning INSAM Journal as both a platform for independent scholarly expression and a site of regional collaboration and exchange. The study also reflects on the challenges and significance of maintaining an independent, digitally based, and transdisciplinary journal in the contemporary landscape of the humanities.

Diabetic nephropathy (DN) is the leading cause of end-stage kidney disease (ESKD). This narrative review aims to address this gap by critically assessing the long-term effects and effectiveness of novel therapies. The review underscores the necessity of multidisciplinary collaboration to develop effective, safe, and economically viable therapeutic strategies for managing DN. Keywords: Diabetic Nephropathy, Chronic Kidney Disease, Albuminuria, Renal Fibrosis, Renoprotection.

Introduction. A modified imaging technique for the right coronary artery (RCA) has been developed to reduce radiation dose and fluoroscopy time. Methods. This study compared patient and operator exposure to ionizing radiation (mGy) and fluoroscopy time(s) during RCA imaging using standard and modified methods. Results. The modified technique resulted in significantly lower radiation dose (23.78 vs. 34.78 mGy; p < 0.001). Conclusion. The modified RCA imaging technique substantially decreases radiation exposure, fluoroscopy duration, and contrast volume, improving safety for both patients and staff. Keywords: Right Coronary Artery, Ionizing Radiation, Coronary Angiography, Fluoroscopy, Radiation Protection.

Fine-grained structural steel of the S690QL designation is widely used due to its very good mechanical properties and good weldability and bending, resistance to abrasion and corrosion. It is most often made in the form of plates of different thicknesses. S690QL steel plate has excellent performance characteristics and is used when low temperature resistance and important strength components are required. It is used in addition to applications for construction machines and structures, mining machines and in the energy sector, highways, railway bridges, etc. Since this steel is used in very demanding conditions such as low temperature, it is very important to test the mechanical properties of the impact toughness at these temperatures. Toughness is an important property that can indicate a material's tendency towards brittle fracture. In this work, a large number of samples were tested for this property, i.e. impact toughness at a temperature of -40°C taken from plates of different thicknesses made of S690QL steel. In addition to this property, the grain size of this steel after heat treatment is also taken into account. These characteristics and their mutual dependence provide directions for correcting the production of semi-finished products or finished products.

Introduction. Over the past decades, there has been a significant improvement in the quality of percutaneous coronary interventions (PCI). The goal of this study is to assess patient related risk factors for the development of ST in patients treated with PCI. Results. According to the study, the percentage of patients with ST who had bare metal stents (BMS) was significantly higher (72.41%) than that of patients without ST (27.59%). Conclusion. Lower ejection fraction, presence of dyslipidemia and usage of BMS were identified as independent predictors of ST. Keywords: Stent Thrombosis, Risk Factors, Prognosis.

It is well known that with the emergence of Industry 4.0, the focus was placed on the digitalization and automation of industrial processes through technologies such as the Internet of Things (IoT), Big Data, artificial intelligence (AI) and robotics, which led us in the direction of smart production processes with the goal of ‘’smart factories’’. Unlike Industry 4.0, Industry 5.0 emphasizes the importance of humanization of technology, where people and robots work together in a harmonious environment. The paper examines whether advanced robotic technology can be synergistically integrated with human creativity to create more efficient, innovative and sustainable production practices. The paper explores the key elements that enable the integration of robotic technology and human creativity, including collaborative robots (cobots), artificial intelligence that supports creative processes and advanced sensor systems. Collaborative robots, designed to work safely alongside humans, take over routine and physically demanding tasks, freeing up time for workers to focus on creative and strategic activities. AI technologies analytically support human decisions, enabling faster and more informed innovation. Ethical and safety aspects of robotic technology integration are discussed, emphasizing the need for a transparent and responsible approach. The application of robotic technology in industry brings significant benefits, including increased productivity, cost reduction, improved worker safety and more sustainable development. The key to the success of Industry 5.0 is in creating a balanced synergy between technology and human creativity. By harmonizing automation with humanization, industry can achieve new levels of innovation and efficiency, adapting to the dynamic needs of the global marketplace. This approach ensures not only technological progress, but also social responsibility, thus laying the foundations for a sustainable and prosperous future for the industry.

Introduction. Psychiatric disorders frequently co-occur with chronic somatic diseases, trauma, and family psychiatric history. Results. Affective disorders were most prevalent (67%), particularly among women and retirees. Conclusion. Psychiatric diagnoses are closely intertwined with demographic and social factors, trauma, family history, and somatic comorbidities. These findings highlight the need for integrated, multidisciplinary care. Keywords: Age, Comorbidity, Mental Disorders, Sex, Somatic Diseases.

Body image is most often defined as an individual's subjective perception of their physical appearance, i.e., the mental image that an individual has of their own body dimensions, contours, figure, and feelings associated with these characteristics. Adolescence is a critical period in the development of body image, and numerous factors have an influence on its development and characteristics - gender, age, family, peers, body mass index, socio-cultural norms, media, and physical activity. Biological factors, primarily age at which changes related to puberty occur, are considered crucial for the development of body image. Body image in early adolescence is primarily influenced by parents, and peer influence increases with age. Adolescent girls want to be thinner, while boys want to have an athletic appearance. Body mass index is one of the most important factors influencing body image and satisfaction with weight and physical appearance, and different studies have shown association between obesity and negative body image. During the last decades, the influence of the internet, social media, and computer games on body image has been significantly higher than traditional media such as television, newspapers, and magazines. A number of different questionnaires and scales are used to assess different aspects of body image. One of the most comprehensive studies that addresses different aspects of adolescent health and includes body image assessment is the Health Behaviour in School-aged Children Study, HBSC. Given that body image (dis)satisfaction can change drastically during adolescence, it can also have a significant impact on mental health (ranging from depression to anxiety), as well as other health-related behaviours. Therefore, it is important to identify adolescents at risk who will adopt different eating behaviors to regulate their body weight, especially those who underestimate and overestimate their body weight, as well as those who are obese.

Introduction. Owing to its high incidence and significant impact on public health, breast cancer represents a major clinical and epidemiological challenge. This study aimed to describe the clinicopathological and immunohistochemical characteristics of newly diagnosed breast cancer cases in Sarajevo. Results. Among 10,547 breast examinations, 165 breast cancers were detected (1.5–1.6% annual incidence). Conclusion. This study highlights the heterogeneity of breast cancer and emphasizes the need for further research to refine diagnostics and treatment. Keywords: Breast cancer, Estrogen Receptors, Progesterone Receptors.

Summary This paper presents the influence of equal channel angular extrusion on the microstructure and properties of composites based on the A356.0 aluminium alloy with the addition of 6 wt.% fly ash as reinforcement. The composite was produced using the compo casting method. The microstructure of the composite was analysed using an optical microscope, computer tomography, and scanning electron microscopy. Rosettes and spheroidal particles were observed in the microstructure of the cast sample, and there was a good distribution of fly ash within the matrix. Equal channel angular extrusion was performed in three passes at the same parameters. After each pass, the microstructure was refined, and fly ash was even better mixed into the matrix. Thus, the strength and hardness of the composite increased after each pass. A fully homogeneous material was achieved after the second pass.

This paper presents the LANA Adaptive Labeling Framework (ALF) as an advanced framework for dynamic method labeling and selecting optimal data processing methods in multiple multicriteria intelligent software systems, focusing on business processes in higher education institutions (HEIs). Earlier approaches to method labeling relied on static hierarchical structures. In contrast, LANA ALF introduces adaptability through continuous learning from user feedback, automatic balancing of criteria based on historical data and current task requirements, and multidimensional labels for comprehensive method evaluation. Each query is represented with a set of labels, while neural networks evaluate the optimal method by balancing criteria such as performance, cost, reliability, and accuracy. User feedback is stored in dynamic tables (e.g., user satisfaction), automatically adapting their structure to new tasks and data types. The results demonstrate that LANA ALF enables intelligent agents to autonomously make decisions without the need for direct involvement of data science experts, thereby increasing accuracy, reliability, and user satisfaction. This framework provides a foundation for further application of ALF in various domains