Integrating service robots into contemporary healthcare systems has significantly advanced the scope and complexity of robotic design, especially regarding the materials used in direct interaction with patients and sterile medical environments. This article investigates the pivotal role of biomaterials in shaping both the structural integrity and functional performance of service robots. A key focus was placed on the selection criteria, biocompatibility, sterilization potential, and adaptability of advanced biomaterials used in components that demand mechanical efficiency and safety. A key focus was also placed on the quantitative selection criteria for these materials, including mechanical strength (e.g., tensile strength of more than 50 MPa for polymeric joints), elasticity (Young’s modulus ranging from 10–1000 MPa depending on the application), and biocompatibility ratings based on the ISO 10993 standard.Particular attention was paid to integrating biocompatible polymers and composites that should withstand repeated sterilization cycles (up to 100 autoclave exposures without structural degradation) while maintaining antimicrobial surfaces and hypoallergenic properties. Additionally, the study explored the application of smart materials (e.g., stimuli-responsive hydrogels and shape-memory alloys), which showed response times under 5 s and deformation recovery rates above 90 %, enabling adaptive robotic behavior in dynamic contexts. The study also outlines current research trends, i.e., using responsive polymers, bioinspired composites, and additive manufacturing techniques that enable personalized robotic solutions. Additive manufacturing techniques were analyzed as enablers of rapid prototyping and patient-specific customization, with the article referencing case studies where 3D-printed biopolymer components reduced development time by 40 % and improved fitting precision in assistive robotic devices by 30 %.Emerging research trends were finally examined through bibliometric data, indicating 3.5 times increase in publications related to “biomaterials in medical robotics” from 2015 to 2024 in Scopus. Overall, the research critically examined the challenges associated with material certification processes, emphasizing that the average duration required to obtain regulatory approval typically spans between 18 and 24 months, posing a significant barrier to the timely deployment of advanced robotic systems in actual environments. By adopting an interdisciplinary perspective that combines materials science and robotics engineering, this study underscores the transformative impact of biomaterials in redefining the capabilities, safety, and personalization of medical service robots. The findings highlight technological advancements and future directions in robotic systems’ sustainable and intelligent deployment.

Kupres, Privor and Stolac Pramenka are indigenous sheep breeds from Bosnia and Herzegovina whose milk is traditionally used for cheese production after the lambs are weaned. The main objective was to determine the udder morphology and the changes in milk production during lactation in Kupres (n=107), Privor (n=94) and Stolac (n=121) Pramenka sheep breeds kept on pasture. Milk production, udder morphology and ewe body weight were measured, samples of milk composition (milk fat, protein, lactose and total solids-not-fat content), somatic cells and total bacterial count were collected during early (day 80-100), mid (day 140-160) and late (day 200-220) lactation in Kupres, Privor and Stolac Pramenka sheep breeds. The results of this work confirm that all the breeds studied have low milk production. In addition, milk production decreases during lactation, while the proportion of milk fat, protein and non-fat components increases. The number of somatic cells in the milk increases slightly during lactation, and their concentration shows good udder health. Compared to the Privor and Stolac Pramenka breeds, the Kupres ewes had the highest milk production and the greatest udder height and width. To conclude, the udder and teat measurements in all breeds were acceptable for machine milking, which was reflected in a low teat angle and a cistern height below the teat orifice. Udder width and height show a high positive correlation with milk yield and can be used to predict milk production in all three Pramenka group sheep breeds.

This research examines the integration of Ibn Khaldûn’s administrative principles within contemporary governance, challenging Western-centric narratives in public administration. Utilizing qualitative analysis of governmental reports, historical texts, and policy documents from twenty countries, the study highlights the traces and adaptations of Khaldûnian thought in governance structures. Key findings reveal the diverse interpretations and applications of foundational concepts derived from Khaldûn’s work, such as social cohesion (‘asabiyyah) and the balance between justice and economic prosperity, within varying political and administrative frameworks. The research underscores how these historical principles continue to resonate in addressing modern governance challenges, including decentralization, stakeholder participation, and the ethical integration of religious and cultural values. By bridging historical insights with contemporary practices, the study contributes to diversifying public administration theories, advocating for culturally resonant governance approaches. The comparative exploration enriches the academic discourse on inclusive and effective governance, offering policymakers practical frameworks for integrating historical insight into modern administrative systems.

Background: Posterior pericardiotomy has been proposed as a preventive strategy against postoperative pericardial effusion and cardiac tamponade in patients undergoing coronary artery bypass grafting (CABG). However, data regarding its clinical outcomes and potential associations with postoperative complications remain limited. Objective. To evaluate intraoperative and postoperative outcomes in patients undergoing off-pump CABG with concomitant posterior pericardiotomy, and to assess potential associations between perioperative variables and the development of common postoperative complications. Methods. This retrospective study included 38 patients who underwent off-pump CABG with posterior pericardiotomy. Demographic and clinical characteristics, procedural details, postoperative complications, and outcomes were analyzed. Associations between operative time, comorbidities (sex, diabetes mellitus, smoking), and postoperative complications such as atrial fibrillation, pleural and pericardial effusions, and drainage volume were statistically evaluated using chi-square and correlation analysis. Results. The study cohort had a mean age of 66.64 ± 7.28 years, with 68.1% male patients. Arterial hypertension was present in all patients, diabetes mellitus in 44.7%, and prior myocardial infarction in 65.7%. The mean left ventricular ejection fraction was 42.86 ± 10.21%, and triple-vessel disease was observed in 63.2% of patients. All patients underwent off-pump CABG. The mean operative time was 254.31 ± 59.04 minutes. Postoperative complications included new-onset atrial fibrillation in 15.7% of patients, pleural effusion in 42.1%, and pericardial effusion in 10.5%. No cases of cardiac tamponade were reported. A significant association was found between smoking and new-onset atrial fibrillation (p = 0.050), while no significant associations were observed between sex or diabetes and postoperative complications. Operative time was not significantly associated with pericardial or pleural effusion, nor with drainage volume. Complete recovery was observed in all 100.0% of patients. Conclusion. Posterior pericardiotomy performed during off-pump CABG was associated with a low incidence of pericardial effusion and no occurrence of cardiac tamponade. The procedure appears to be safe and may contribute to favorable postoperative outcomes. Smoking may be a risk factor for new-onset atrial fibrillation, warranting further investigation.

Software-Defined Networking (SDN) is the actual approach in the network design, based on separating the control and data plane. Such architectural model has brought improvements in terms of network monitoring, management and troubleshooting, but has also increased risks related to network security. Security attacks can occur at all SDN layers and disrupt part or the entire network. Existing research is mostly focused on the security of the control plane, since it contains all control logic of SDN networks and thus represents their main part. Although the data plane has many vulnerabilities and can also be a significant source of security threats towards the control plane, it is only partially covered in existing research, without enough details related to differences between methods and implementation techniques which provide security enhancement. In this paper, we present a comprehensive survey on security of the data plane, focusing on the latest advanced solutions. The survey starts with an overview of attacks, threats and affected security attributes in the data plane, classified using common security models: STRIDE, CIA and AAA. After that, we present a detailed analysis of solutions explored in the literature, including the methods used for security enhancement, implementation techniques, experimental environments, their contributions in terms of vulnerabilities that they address, performance analysis and limitations. Through this analysis, we introduce the concept of adaptive security and select several mechanisms which can be used to achieve it. Additionally, we propose possible combinations of presented mechanisms to provide strong, comprehensive solution which should adapt to dynamics of network, attackers and users, and in that way protect the network from different threats and also satisfy the requirements of services which need different levels of security.

: This paper presents a comprehensive study on the development of a traffic sign recognition system based on computer vision, which is crucial for improving road safety and supporting intelligent transport systems (ITS). By using advanced image processing techniques and machine learning algorithms, this research aims to create a reliable system capable of accurately recognizing and classifying various traffic signs. The methodology includes collecting a diverse set of traffic sign images, applying image enhancement techniques, and utilizing deep learning models for precise recognition in different environmental conditions. Experimental results indicate the system’s high accuracy in recognizing traffic signs, even in cases with complex backgrounds, demonstrating its potential for integration into autonomous vehicles and advanced driver assistance systems (ADAS). This research contributes to efforts aimed at enhancing road safety and improving traffic management through automated traffic sign recognition.

Background/Aim. External manifestations and comorbidities represent important clinical aspects of decompensated alcoholic liver cirrhosis (ALC), providing insight into disease severity and systemic involvement. The aim of the study was to examine the prevalence of external signs and comorbidities in male patients with decompensated ALC. Methods. A prospective, comparative, descriptive, and analytical study was conducted at the Clinic for Internal Medicine, University Clinical Center of the Republic of Srpska, in Banja Luka, Bosnia and Herzegovina. The study included 123 male patients diagnosed with decompensated ALC. All necessary diagnostic evaluations, including laboratory, microbiological, serological, radiological, and endoscopic assessments, were performed during their first hospitalization. Results. The mean age of the patients was 59.09 ? 9.32 years. The most common external manifestations were jaundice (79.67%), spider nevi (54.47%), palmar erythema (36.58%), and gynecomastia (18.69%). The most frequent comorbidities were diabetes mellitus (19.51%), congestive heart failure (17.88%), and chronic kidney disease (11.38%). A significant correlation was found between disease severity and the presence of external signs, with jaundice being the most prevalent. Conclusion. External manifestations and comorbidities are frequent in male patients with ALC, reflecting the systemic impact of the disease. Recognizing these clinical markers can aid in early diagnosis, risk stratification, and tailored therapeutic strategies.

: Game-based learning is becoming an increasingly valuable tool for enhancing education, especially for young learners. This study explores the usability, engagement, and educational impact of a serious game designed to help children develop skills in math and logic, colors, reading and writing, and shapes through interactive gameplay. The game was tested by both children and adults, with feedback gathered through scaled question responses, open-ended suggestions, and task-related questions. The results show that children found the game intuitive and enjoyable, with particularly high ratings for interface usability and clarity of instructions. While adults provided a different perspective from the target audience, their feedback offered useful insights for improving the game’s design. These findings highlight the importance of user-centered design and adaptive learning approaches in creating engaging and effective educational games.

Background/Aim: Pressure ulcers develop due to prolonged periods of increased pressure on certain parts of the skin and underlying tissue. This study aimed to evaluate the efficacy and safety estimates of lysozyme-based cream in the treatment of pressure ulcers of grade two according to Yarkony-Kirk scale. Methods: Adult patients with neurological diseases and severe functional deficits with grade-two pressure ulcers according to Yarkony-Kirk scale were included. All patients were treated with polarised light. Additionally, the patients were treated twice daily with a cream containing 20 mg/g of lysozyme chloride (lysozyme group) or with povidone-iodine dressings (control group). Visual checks of the ulcer were performed at the baseline and daily until the end of follow-up. Safety was evaluated by the presence of adverse reactions to treatment. Patients were followed for two months or less in case of withdrawal from the study, ulcer healing, or worsening. The Yarkony-Kirk scale grade was determined at the end of follow-up for each patient and one of the four categories was recorded: healed, improved, no changes or worsened. Results: A total of 48 subjects were included, 28 (58 %) in the lysozyme and 20 (42 %) in the control group. Age, sex, pressure ulcer position and duration of follow-up were similar between groups. The percentage of healed pressure ulcers was significantly higher in the lysozyme (71 %) compared to the control (35 %) group (p = 0.005). No adverse reactions to treatments were recorded. Conclusion: The lysozyme-based cream was found to be effective and safe in the treatment of grade-two pressure ulcers. Additional randomised, blinded, larger studies are needed to confirm these findings.

Deformation analysis is a complex procedure where, based on several periodic geodetic measurements, displacements of points in the geodetic network are detected and determined. On this basis, movements and deformations of the built and natural environment are detected. The article discusses the Squared Msplit estimation, an extension of the maximum likelihood method, which is one of the procedures used in deformation analysis. The equations of the Squared Msplit estimation are derived and the method is presented on 2D geodetic network case study. The effectiveness of the presented method is compared with the results of other deformation analysis approaches performed with the same numerical example. The results obtained using the Squared Msplit estimation slightly differ from the simulated values, with the maximum discrepancy being 11.5 mm at unstable points and 10.4 mm at stable points, which are satisfactory results. The findings indicate that the Squared Msplit estimation provides results comparable to other methods. Therefore, it is considered suitable for deformation analysis and can be regarded as one of the applicable procedures in this field.