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.

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Background: I am approaching this text from one of my articles that was recently published in this same journal, which was “processed” by one of the expert systems. This Artifficial Inteligence (AI) processed article by the system can be an argument that AI can be misused. By comparing the original and the AI copy, the readers can conclude that among those who are challenged by AI, the scientific content can be “converted” from the original into a plagiarized one, thus creating the possibility of endless plagiarism and theft of scientific content that was published in the past in various types of publications, and especially those in world-class journals in the world\'s scientific databases. Objective: The aim of this article was to explain current consequences regarding use AI in science editing of scientific literature. Methods: Author use published articles in most influential indexed databases with topics abot AI which were tolked about influence of AI in preparation articles for publishing in the books, monographs, master and doctor thesis and scientific journals.Results and Discussion: The future of artificial intelligence in education is bright, with the potential to transform the way higher education institutions teach and learn. AI can improve the accuracy and speed of tasks, reducing the risk of human error. Conclusion: The responsible development of AI involves addressing ethical concerns and ensuring accountability and trust. AI systems need to be designed with human oversight and control and it’s essential to address the ethical and practical challenges to ensure that AI benefits all stakeholders in the educational ecosystem, including scientific research and scientific editing..

Aware of the negative impact that agricultural production has on the environment, especially on the soil, alternative systems of agricultural production have been developed. It combines traditional knowledge characteristic of conservation agriculture and organic agriculture, but also modern technologies important for urban and precision agriculture, in order to manage the land in the best possible way. The biggest consequences of conventional agricultural production on the soil are: decrease in the content of organic matter, deterioration of the structure, soil compaction and contamination, salinization, alkalization, acidification. The aim of the paper is to present different concepts (forms) of agricultural production systems that can contribute to the preservation of soil and the environment, some of them, Urban Agriculture and Precision Agriculture. What they all have in common is that they are in line with the objectives of Good Agricultural Practice (GAP). Contemporary domestic and foreign literature was used in the research, which deals with the issue of sustainable land management primarily from an agronomic point of view, but also considers the economic, social and ecological importance. The results show that when deciding which system of plant production is the most acceptable for a certain area, several factors must be taken into account, such as: production characteristics of the soil, reef, ecological conditions, intensity and type of plant production, economic strength of the farm, even the educational structure of the holder of the farm and the mentality of the population in the rural environment. Farmers willingness to switch from convectional production to systems that will improve soil properties is conditioned by their recognition that they will realize financial benefits. The speed of recognition will depend on the institutional measures taken through education, financial support for the transition to some of the mentioned systems and appropriate legal regulations that will support all of the above.

The textile industry is the second most environmentally polluting industry in the world after the petroleum industry. Approximately 25% of global chemicals are used in textile production, around 10% of the world's CO2 emissions are generated by the textile industry, and it consumes more water than any other industry. Annually, about 92 million tons of textile waste are produced, with only an estimated 10-30% of the waste being recycled. Textile waste can be reused or recycled using various methods for thermal insulation materials. The aim of this study is to analyze and compare recycled thermal insulation materials with conventional thermal insulation materials based on economic and environmental criteria. By using the DEXi software tool, a multicriteria analysis was conducted between recycled textile and conventional thermal insulation materials based on economic and environmental criteria. In terms of economic and environmental criteria, conventional thermal insulation materials have an advantage over thermal insulation materials made from recycled textiles. In conclusion, the decision on which option is better depends on the specific requirements of the project. If sustainability is a key priority, based on all available information, thermal insulation made from recycled textiles is the better choice. However, if priorities are focused on heat insulation, moisture resistance, and durability, EPS is currently the better option. According to the planned scenario, there is a possibility that the efficiency of both thermal insulation materials can be balanced through additional research and improvement.

This paper emphasizes different aspects of the activity of Serbian choral societies in Bosnia and Herzegovina in the period since the foundation of the first Lower Tuzla Serbian Church Choir in March 1886 until the beginning of the First World War. The aim of the paper is to comprehensively and systematically present the available data. It was made on the basis of archival material and previous research by scholars from Bosnia and Herzegovina and Serbia. The activities of the choral societies are presented chronologically, pointing out the choirmasters active in this period, the repertoire of the societies, the most important performances, anthems and flags.

This study aims to identify the impact of macroeconomic and market variables on the Bosnian and Herzegovinian stock market. Two stock market indices on the capital market of Bosnia and Herzegovina are considered: the SASX-30 and BIRS. At the same time, macroeconomic and market variables include turnover (TRN), market capitalization (MC), exports (EXP), imports (IMP), gross domestic product (GDP), consumer price index (CPI), and foreign direct investment (FDI). The study adopts panel regression analysis for the period from 2013 to 2022. The results of the panel regression analysis showed that export and import values have the strongest influence on the movement of returns for the SASX-30 and BIRS stock market indices in the capital market of Bosnia and Herzegovina. On the other hand, the variables achieved the lowest significance: turnover, market capitalization, foreign direct investments, and consumer price index.

The primary objective of this paper is to identify factors that have a statistically significant impact on the exposure of banks in Bosnia and Herzegovina to interest rate risk and its effect on business profitability indicators. Therefore, this paper investigates the impact of interest rate risk on the performance of banks in Bosnia and Herzegovina between 2014 and 2024. The least squares panel regression model predicts the return on assets and the return on equity of banks in Bosnia and Herzegovina as a function of interest rate risk, which is indexed by the ratio of loans to assets, the average lending ratio, and the risk of interest rate diversification. Empirical findings in the paper revealed that the independent variable, average lending ratio as a measure of interest rate risk based on the method of least squares, has a significantly positive influence on the first and second dependent variables, that is, ROA and ROE, with a significance of less than 5%. The correlation between the risk of interest diversification and the first indicator of profitability (ROA) is positive with a significance of less than 5%, while the correlation between the risk of diversification of interest and the second indicator (ROE) is positive but with a significance of more than 5%. On the other hand, a negative correlation was recorded between the loan-to-assets ratio and the ROA indicator, with a significance greater than 5%. Also, a positive correlation was achieved between the loan-to-assets ratio and the ROA indicator with a probability greater than 5%.