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.

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.

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.

: 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.

: 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: The upper mini sternotomy Bentall (mini-Bentall) procedure may result in less trauma and earlier recovery compared with the usual full sternotomy Bentall procedure (Usual Bentall-DeBono procedure). Objective: This study evaluates the efficacy and safety of mini sternotomy aortic root surgery (MSARS), a minimally invasive technique designed to reduce surgical trauma, improve postoperative recovery, and lower healthcare costs. Methods: The upper mini sternotomy (UMS) approach was performed in ten patients focusing on standardized surgical procedures, and rigorous postoperative care. Key findings indicate that MSARS markedly reduces postoperative complications, ICU stay, and overall hospital stay compared to traditional sternotomy. Results: The median postoperative length of stay was seven days for MSARS versus 11 days for traditional sternotomy, with ICU stays of 27 hours and 105 hours, respectively. Our study also highlights the cost-effectiveness of MSARS, with decreased hospital costs per patient due to reduced ICU resource utilization and shorter hospital stays. These findings suggest that MSARS is a valuable and advantageous alternative to traditional sternotomy, offering substantial benefits in terms of patient outcomes and healthcare efficiency. Conclusion: Mini sternotomy aortic root surgery via partial upper sternotomy could be a safe alternative to the full median sternotomy, marking a significant advancement in the field of cardiac surgery.

Background: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a rare hereditary disease affecting small vessels in the brain caused by mutations in the NOTCH3 gene. It has a wide palette of clinical manifestations, usually starting with cognitive decline, migraine and headaches. Therefore, it is frequently misdiagnosed as a transitory ischaemic attack (TIA), ischaemic stroke, or migraine. As advances in genetic testing enable the detection of patients with CADASIL, its incidence is rising. However, CADASIL is still rarely diagnosed, especially in countries with scarce socio-economic resources in healthcare, such as genetic testing that is mandatory to diagnosticate CADASIL. However, it should be considered in everyday clinical practice as a differential diagnosis, especially in younger patients with positive family history. To our knowledge, there has not been a CADASIL case reported in Bosnia and Herzegovina. Objective: This case report aims to present rare confirmed case of CADASIL in a 56-year-old man that presented with rapid cognitive decline. Case presentation: A 56-year-old man was admitted to the Department of Neurology accompanied by his wife, who gave heteroanamnestic information. The patient works abroad and in the past month, during a telephone conversation, the wife noticed that the patient forgets what he has just said to her. The test results showed the presence of heterozygote mutation (c.401G>A) on the NOTCH3 gene, which confirmed the CADASIL diagnosis in this patient. He was further prescribed dual antiplatelet therapy and advised to do a follow-up exam in one month. Genetic advisory and testing of other family members was recommended, but it has not yet been conducted. He can still perform all activities of daily living. The importance of exome sequencing that enables the detection of a genetic mutations causing this rare disease is highlighted. Conclusion: Family members should also be advised to do genetic testing, as this enables the detection of CADASIL before the onset of symptoms. In addition, more aggressive preventive methods, life-style changes and symptomatic treatment can be included on-time, which will increase patient’s quality of life and decrease the development of various neurological complications.

The objective of this study was to provide decision-making assistance in selecting electric vehicles (EVs). The multi-criteria decision-making methods (MCDM), criteria importance through inter-criteria correlation (CRITIC) and evaluation by distance from ideal solution of alternatives (EDISA), along with the technical specifications of EVs, were employed to facilitate the decision on purchasing an EV. A total of 14 minivans were analysed based on 10 criteria. The findings from the CRITIC method indicated that the most significant criteria are battery charging and vehicle consumption. The EDISA method indicated that EV11 exhibited the best characteristics and represented a prudent purchase decision. Nevertheless, the ultimate decision must consider additional factors beyond just the technical specifications, as numerous elements affect the final choice, necessitating an examination of other attributes of the EV.

Background: Malnutrition is a frequent yet often overlooked comorbidity in patients undergoing surgery for colorectal cancer. It is associated with adverse postoperative outcomes, including increased complications, prolonged hospital stay, and elevated mortality. Objective: This study aimed to assess the clinical impact of short-term preoperative enteral nutrition in malnourished patients undergoing elective colorectal cancer surgery. Methods: A prospective cohort study was conducted involving 68 malnourished patients with histologically confirmed stage I–III colorectal cancer. Patients were divided into three groups: Group A (14-day enteral nutrition), Group B (7-day enteral nutrition), and Group C (no supplementation). Nutritional status, laboratory parameters, postoperative complications, transfusion needs, and hospitalization metrics were compared among groups. Results: Group A demonstrated the most favorable outcomes, including significantly fewer postoperative complications such as anastomotic leakage (5.0% vs. 17.9%, p = 0.030), reduced transfusion and albumin requirements, and shorter ICU and hospital stays (1.6 ± 0.7 and 7.1 ± 2.4 days, respectively). Group C showed the highest complication and mortality rates. Improvements in biochemical markers were observed in both intervention groups, supporting the efficacy of enteral supplementation. Conclusion: Short-term preoperative enteral nutrition significantly improves clinical outcomes in malnourished colorectal cancer patients undergoing elective surgery. These findings support the integration of nutritional screening and intervention as standard components of perioperative care in oncologic surgery.

Sewage sludge is a by-product of wastewater treatment. Sewage sludge is a desirable material for application in agriculture production as a fertilizer or soil conditioner, as it is characterized by a high content of organic matter and nutrients such as nitrogen, phosphorus and potassium. However, sewage sludge tends to concentrate trace metals, organic pollutants and pathogenic organisms due to the initial pollutant load of the treated wastewater and the treatment processes. Although various chemical methods can be used to remove trace metals from sewage sludge, the use of microbes is considered a more cost-effective and environmentally friendly approach compared to chemical treatments. This review examines the risks of trace metals in the application of sewage sludge and demonstrates the efficiency of their removal using physical, chemical and biological methods.

Short-wave infrared radiation allows for efficient heating of a body (target) with minimal thermal interaction with the gaseous medium through which it passes. The mutual geometric relationship between the infrared heating source and the target impacts the spatial resistances of radiation heat transfer. Therefore, a significant portion of the short-wave infrared radiation emitted by the heat source does not reach the target, thereby reducing its efficiency. To maximize the use of thermal radiation, this study analyzes a profiled nanofluid collector on which a heated target is placed. Nanofluid with Al2O3 nanoparticles flows through internal arrays of round nozzles and a profiled housing, being heated by the inner surface of the collector. The paper establishes a methodology based on the thermal irreversibility of the heat source, collector and nanofluid. The established methodology allows for minimizing thermal entropy in order to optimize the geometric and process parameters of the described system. The results of the conducted analysis are based on the cross-influence of the Reynolds number of the nanofluid, target and collector emissivity, short-wave heating time and nanoparticle volumetric ratio. The results obtained indicate that as the target emissivity, heater temperature and heating time increase, the thermal entropy of the mutual interaction between the heater and the target also increases significantly. Similarly, the thermal entropy of the mutual interaction between the collector and the nanofluid is greatly influenced by factors such as the Reynolds number (from 2000 to 4000), volumetric ratio (3% and 5%) and type of nanoparticles used (Al2O3, TiO2, and CuO). In this way, the specially designed collector allows for the utilization of captured heat, while the established methodology offers the opportunity to optimize the process-geometric parameters of the heating system being analyzed.

Climate change is one of the main challenges facing the population around the world. The consequences of these changes have been manifested for decades in various ways, creating disasters that threaten the lives of an increasing number of people. This paper analyses the consequences of the floods that hit the United Arab Emirates on April 16, 2024. After any natural disaster, this flood also calls into question the approach, preparedness and response to this challenge, questioning the success of managing critical infrastructure. This is an important question given that in the last two decades the United Arab Emirates has encountered several floods of a more serious scale. In line with the further development of the consequences of climate change and in response to the challenges they bring with them when it comes to the United Arab Emirates, the authors also propose specific guidelines for the relevant institutions as a way of improving critical infrastructure. A significant area would be to focus on the latest technology in creating superior public-private partnerships that would become modern, national-integrated emergency management systems. The authors used the Risk Management Theory, suggesting ways in which preventive responses can be made. The authors also used content analysis, as well as the observation method.