Industry 4.0 represents a new chapter in the development of manufacturing systems, where digitalization, automation, and the application of advanced technologies become key drivers of competitiveness. The textile industry, traditionally characterized by manual processes, is undergoing a profound transformation through the integration of next-generation robotics. This paper analyzes the significance and impact of robotic implementation within the Industry 4.0 framework on process efficiency, flexibility, and sustainability in textile production. Special attention is given to the application of collaborative and autonomous robots, which enable smart work organization, optimized transport and storage, and adaptive production flow management. The study highlights both the benefits brought by the adoption of advanced robotic systems and the challenges encountered during their implementation, such as the need for digital competencies among the workforce and high investment costs. Through the analysis of current trends and examples of good practice, the paper points to key development directions aimed at enhancing innovation, sustainability, and global competitiveness of the textile sector. The conclusion emphasizes the necessity of a strategic approach and continuous investment in new technologies to ensure a successful transition toward the smart factory of the future.

This paper presents a procedure for probabilistic analysis of joint load carrying capacity as a randomly variable quantity on the example of a cylindrical press fit joint of a bronze ring with teeth and a worm gear hub. By fitting the set of results obtained by a series of FEM simulations for characteristic values of input parameters (interference and material characteristics), the coefficients of a second-order multidimensional polynomial as a "response surface" for the output quantity - joint load carrying capacity were determined. By MC simulation, generating random parameters according to the known laws of statistical distributions and evaluating the previously obtained higher-order polynomial, a statistical set was obtained, the processing of which determines the distribution parameters of the randomly variable output quantity. The described procedure is applicable to a wide class of probabilistic design problems that are analyzed using FEM analysis.

The main aim of this study is to measure the indoor gamma and beta radiation dose rates in the areas of Banovici and Zivinice, Bosnia and Herzegovina, and their dependence on meteorological parameters (temperature, pressure, and air humidity). During the research, emphasis was placed on measuring doses in private residential buildings. Using the Gamma-Scout device, gamma and beta radiation dose rates were measured inside the residential buildings. Annual effective doses were estimated, as well as the excess lifetime cancer risk resulting from gamma and beta radiation. The average estimated annual effective dose of gamma radiation in the Banovici and Zivinice areas was 1.09 ? 0.20 mSv, and also for gamma + beta radiation, it was 1.14 ? 0.19 mSv. The excess lifetime cancer risk due to exposure to gamma radiation indoors was estimated to be (4.25 ? 0.77)?10-3, while this risk from exposure to gamma + beta radiation was estimated to be (4.47 ? 0.75)?10-3.

Background: Community-acquired bacterial meningitis (CABM) remains a life-threatening infection with high morbidity and mortality, despite advances in antibiotic therapy and vaccination. Understanding local epidemiology is crucial for improving outcomes. Objective: To evaluate clinical and epidemiological characteristics and outcome of patients with bacterial meningitis in all age groups. Methods: This retrospective study analyzed 78 cases of CABM treated at the University Clinical Center Tuzla from 2014 to 2024. Patients were divided by age and outcome. Clinical features, laboratory results, microbiological findings, and prognostic factors were examined. Results: Adults comprised 59% of cases, and children 41%, with a median age of 29 years. The most common symptoms were fever (91%), positive meningeal signs (76.9%), vomiting (69.2%), and headache (66.7%). Streptococcus pneumoniae (24.4%) and Neisseria meningitidis (14.1%) were the leading pathogens. Mortality was 14.1%, significantly higher in adults (19.6%) than in children (6.3%). Poor outcomes were associated with older age, coma, ICU admission, and complications such as cerebral abscess or shock. Laboratory indicators of worse prognosis included thrombocytopenia, elevated urea and creatinine, hypokalemia, and low CSF cell count. Conclusion: CABM remains a serious clinical problem in Tuzla Canton. Early recognition, appropriate empiric antibiotic treatment, ICU management, and preventive measures such as vaccination are essential for improving survival, particularly in high-risk populations.

Paper analyzes energy consumption and optimization potentials in wastewater treatment plants (WWTPs). The paper focuses on identifying key factors affecting energy use across different treatment stages, including preliminary, primary, secondary, and tertiary treatment. Strategies for improving energy efficiency are also discussed, such as the implementation of advanced technologies, aeration optimization, real-time process control, and the utilization of by-products, especially sludge, for biogas production. Based on literature review and case studies, the paper highlights the potential for transforming WWTPs into energy self-sufficient systems, reducing operational costs and greenhouse gas emissions while maintaining the quality of treated water.