Background: African swine fever virus (ASFV) causes a fatal hemorrhagic disease in domestic pigs and wild boars. While live attenuated vaccines (LAVs) provide protection, their use raises safety concerns. Therefore, the aim of the present study was to identify viral B-cell antigens associated with protection and to test their potential using highly immunogenic vaccine delivery platforms. Methods: We employed a microarray of 169 ASFV proteins expressed in a cell-free prokaryotic system to identify immunodominant antigens using sera from immune pigs. Six structural proteins were selected and formulated into AP205 virus-like particles (VLPs). Additionally, replication-defective vesicular stomatitis virus (VSV)-based vaccine candidates expressing glycosylated CD2v and EP153R proteins were generated. Three groups of specific pathogen-free pigs were immunized with either VLP- or VSV-based vaccines and challenged with the virulent ASFV Georgia 2007 strain. Control groups included pigs immunized with the attenuated ASFV Estonia 2014 strain and a naïve group. Results: Most vaccine candidates induced detectable antibody responses against target ASFV proteins. However, neither VLP- nor VSV-based vaccines provided protection, as clinical scores, hematology, cytokine responses, and viremia levels were similar to those in the negative control group. In contrast, only the ASFV Estonia 2014 strain elicited a robust T-cell response and protective immunity. Conclusions: These findings highlight the challenges in identifying protective B-cell antigens of ASFV and emphasize the pivotal role of cellular immunity in mediating protection.

In the rapidly evolving landscape of software engineering, the demand for robust and secure systems has become increasingly critical. This is especially true for self-adaptive systems due to their complexity and the dynamic environments in which they operate. To address this issue, we designed and developed the SAFT-GT toolchain that tackles the multifaceted challenges associated with ensuring both safety and security. This paper provides a comprehensive description of the toolchain's architecture and functionalities, including the Attack-Fault Trees generation and model combination approaches. We emphasize the toolchain's ability to integrate seamlessly with existing systems, allowing for enhanced safety and security analyses without requiring extensive modifications and domain knowledge. Our proposed approach can address evolving security threats, including both known vulnerabilities and emerging attack vectors that could compromise the system. As a use case for the toolchain, we integrate it into the feedback loop of self-adaptive systems. Finally, to validate the practical applicability of the toolchain, we conducted an extensive user study involving domain experts, whose insights and feedback underscore the toolchain's relevance and usability in real-world scenarios. Our findings demonstrate the toolchain's effectiveness in real-world applications while highlighting areas for future improvements. The toolchain and associated resources are available in an open-source repository to promote reproducibility and encourage further research in this field.

This study examines how the signal‐to‐noise‐interference ratio (SNIR) influences auditory performance and neural responses associated with listening effort (LE). A new dataset was collected from individuals with moderate hearing loss, all fitted with hearing aids (HAs). Participants listened to two competing audiobooks presented via front‐facing loudspeakers, while 16‐talker babble noise was delivered from background speakers. Six SNIR levels (5.47, −$$ - $$ 3.55, −$$ - $$ 2.13, −$$ - $$ 1.19, −$$ - $$ 0.64, and −$$ - $$ 0.27 dB) were tested. Participants were instructed to attend to one audiobook while ignoring the competing speech and background noise and were subsequently assessed on content of the attended speech and perceived LE. The performance results revealed a significant linear effect of SNIR on subjective ratings of LE and a primarily quadratic effect on comprehension questionnaire accuracy, suggesting that perceived effort decreases steadily with improving SNIR, while comprehension questionnaire performance exhibits a plateau at higher SNIR levels. The EEG analyses demonstrated a significant relationship between SNIR and local connectivity, specifically in the parietal electrodes and in the alpha frequency band. Further analysis confirmed that parietal local connectivity correlates linearly with subjective LE ratings. Moreover, spectral power analysis showed that parietal alpha power is not significantly related to SNIR, indicating that local connectivity may serve as a more sensitive neural marker. While local connectivity and alpha power may share some neural underpinnings, they offer complementary, yet non‐identical insights. These findings highlight the potential of local EEG connectivity as a reliable estimate of LE in acoustically challenging environments.

This study applied a virtual effect-directed analysis (vEDA) approach, integrating effect-based analysis and chemical screening, to identify bioactive compounds in rubber infill from artificial turf. Bioreporter assays targeting diverse toxicological endpoints were selected to detect a wide range of potential endocrine-disrupting and genotoxic compounds. Of 21 samples, all except one showed aryl-hydrocarbon receptor (AhR) activity (14-31,400 ng benzo[a]pyrene equivalents/g), four induced p53 activity (0.04-0.86 µg actinomycin D equivalents/g) and two showed estrogen receptor α (ERα) activity (530 and 1020 pg estradiol equivalents/g). Chemical analysis quantified up to 87 polycyclic aromatic compounds (PAC) and gas chromatography high-resolution mass spectrometry-based suspect screening yielded 281 tentative identifications. Annotation with bioassay activity data from databases and predictive models revealed 29 AhR-, 32 ERα- and 18 p53-active compounds. Univariate analysis was used to prioritize compounds for further chemical and toxicological confirmation. Eighteen AhR agonists were confirmed, contributing 0-98% to the observed AhR activity in the samples. Phenylamine additives, detected at high concentrations, exhibited low AhR activating potency and contributed < 1%. In contrast, methylated chrysene isomers elicited relatively high potencies and contributed substantially (≤65%) to the observed AhR activity. N-Isopropyl-N'-phenyl-p-phenylenediamine (IPPD) was confirmed as p53 active and explained ∼50% of the observed activity in the most p53-active sample. Styrene-butadiene rubber (SBR) showed higher AhR- and p53 activities and concentrations of quantified compounds than the alternative materials. The study highlights differences in chemical hazards among rubber infill materials and demonstrates the utility of vEDA as an early-warning tool for identifying compounds of concern.

Geometry-based stochastic channel models with differently distributed scatterers within elliptical-shaped scattering region, become more and more popular due to their applicability for modeling different propagation scenarios in the emerging 5G networks. However, to date, their spatial and temporal characteristics are usually provided in integral forms, which are not appropriate for analytical manipulations. In this paper, it is shown that the azimuthal angles of arrival and departure for elliptical (two-dimensional) and ellipsoidal (three-dimensional) channel models, with (non)uniformly distributed scatterers and arbitrary chosen positions of the transmitter and the receiver, has the same statistics as N-dimensional channel model with homogeneously distributed scatterers within hyperellipsoidal-shaped scattering region. Thus, the azimuthal angle distributions of N-dimensional channel model with homogeneously distributed scatterers within hyperellipsoidal-shaped scattering region are derived as closed-form expressions, providing for the first time in literature the azimuthal angles of arrival and departure distributions for various existing elliptical-shaped geometry-based stochastic channel models and for a whole new class of 2-D and 3-D channel models with nonuniformly distributed scatterers.

Background Appropriate oral hygiene practices established in early childhood are essential for preventing dental caries. Parental awareness and supervision during the early school years play a key role in the development of effective daily oral hygiene habits. However, data on oral hygiene practices and the use of preventive dental products among children at school entry remain limited in many primary healthcare settings. Materials and methods This cross-sectional study included 307 six-year-old children who attended routine school-entry dental examinations at the Department of Dentistry, Public Health Institution "Health Center" Živinice, Bosnia and Herzegovina, between September 2022 and September 2024. Parents completed a structured questionnaire on the timing of the child’s first dental visit, initiation of toothbrushing, caregiver involvement in daily oral hygiene, and use of mechanical and chemical oral hygiene products. Categorical variables were summarized using descriptive statistics, and differences in questionnaire responses were analyzed using the Pearson Chi-square (χ²) test, with a significance level of p < 0.05. Results Delayed initiation of the first dental visit and toothbrushing were commonly reported. Only a minority of children attended their first dental visit following eruption of the first tooth, while most began brushing after eruption of several primary teeth. Parental supervision of oral hygiene was inconsistent, and independent brushing from the beginning was reported in a subset of children. Although regular toothbrush and toothpaste use was nearly universal, the use of adjunctive preventive products was limited, and more than half of parents were unaware of the fluoride content of their children's toothpaste. Conclusion Oral hygiene practices among six-year-old children appear suboptimal, with delayed initiation of preventive care and limited parental awareness of fluoride use. Educational interventions aimed at improving caregiver knowledge and supervision of children’s oral hygiene practices may support the development of more effective preventive behaviors at school entry.

Eosinophilic granulomatosis with polyangiitis (EGPA) is a rare systemic vasculitis characterized by asthma, eosinophilia, and multisystem involvement. Renal manifestations are relatively uncommon but may be severe and rapidly progressive, and fatal hemorrhage from arteriovenous fistulas (AVFs) represents an uncommon yet catastrophic complication in patients with advanced kidney disease. We report a case of a 70-year-old man with long-standing asthma, chronic rhinosinusitis with nasal polyposis, marked eosinophilia, and progressive renal failure. After years of fragmented clinical manifestations, a clinical diagnosis of EGPA was considered based on clinical, laboratory, and immunological findings, supported by fulfillment of the 2022 American College of Rheumatology/European Alliance of Associations for Rheumatology (ACR/EULAR) classification criteria in the absence of histopathological confirmation, in the setting of rapidly progressive renal dysfunction. Induction immunosuppressive therapy with high-dose corticosteroids and cyclophosphamide was initiated. Due to advanced chronic kidney disease and the anticipated need for renal replacement therapy, a left radiocephalic AVF was constructed. Seventeen days later, the patient experienced spontaneous fistula rupture at home, resulting in massive hemorrhage, refractory hemorrhagic shock, and death. This case illustrates the consequences of delayed EGPA diagnosis and highlights the possibility of fatal vascular access complications in the setting of active systemic vasculitis, underscoring the importance of careful timing of invasive procedures, heightened clinical vigilance, and structured patient education when planning vascular access in patients with active inflammatory disease.

This research aimed to examine which of the selected strategies can most effectively influence households to reduce their total municipal waste and thus protect the environment. To achieve this goal, a sample of 202 households from the Brčko District of BiH was used. Respondents evaluated six strategies against ten criteria, expressing their assessments through linguistic values. These linguistic inputs were modeled using symmetric fuzzy numbers, ensuring a consistent and mathematically robust representation of uncertainty and subjective judgment. The research used the fuzzy SiWeC (Simple Weight Calculation) method to determine the importance of the criteria, and the fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), ARAS (Additive Ratio Assessment), and SAW (Simple Additive Weighted) methods to rank the strategies. The application of several methods in decision-making helps validate results and verify the robustness of strategy selection. These methods identified “waste reduction efficiency” as the most important criterion and “Strategy 3—Packaging return machines” as the most effective overall. Furthermore, analysis of demographic subgroups revealed significant variations in the perceived value of alternative strategies. Consequently, this study concludes that to optimize municipal waste management, strategies should be tailored to specific demographic profiles. This targeted approach would enhance waste reduction at the source, divert more waste from landfills, and promote the broader implementation of circular economy principles. The use of symmetric fuzzy numbers provided a reliable and stable foundation for this multi-criteria decision-making analysis.

The Trends in International Mathematics and Science Study (TIMSS) provides internationally comparable data on students’ mathematics and science outcomes. The present study examines whether school bullying moderates gender differences in outcomes on the TIMSS mathematics test among fourth-grade students in Bosnia and Herzegovina. The sample consisted of 3,324 fourth-grade students (1,654 girls and 1,670 boys). Mathematics achievement was assessed using TIMSS plausible values, and analyses accounted for the complex survey design using the student sampling weights. Results showed a significant negative association between school bullying and mathematics achievement for both genders, as well as a significant gender × bullying interaction. Boys achieved higher scores at low and moderate levels of bullying, whereas girls outperformed boys under high bullying exposure. This pattern was consistent across all plausible mathematics values. The results suggest that efforts aimed at improving school social climate and reducing bullying may play an important role in promoting both students’ academic achievement and their well-being. Keywords: TIMSS, mathematics, gender, school bullying, Bosnia and Herzegovina

In this paper, we present an online method for converting an arbitrary geometric path represented by a sequence of states, generated by any planner (e.g., sampling-based planners like RRT or PRM, search-based planners like ARA*, etc.), into a corresponding kinematically feasible, jerk-limited trajectory. The method generates a sequence of quintic/quartic splines that can be discretized at a user-specified control rate, and then streamed to a low-level robot controller. Our approach enables real-time adaptation to newly captured changes in the environment. It can also be re-invoked at any time instance to generate a new trajectory from the robot's current to a desired target state or sequence of states. We can guarantee that the trajectory will remain collision-free for a certain amount of time in dynamic environments, while allowing bounded geometric deviation from the original path. The kinematic constraints are taken into account, including limited jerk. We validate the approach in a comparative simulation study against the competing method, demonstrating favorable behavior w.r.t. smoothness, computational time, and real-time performance, particularly in scenarios with frequent changes of target states (up to 1 [kHz]). Experiments on a real robot demonstrate that the proposed approach can be used in real-world scenarios including human presence.

<p>OBJECTIVE: To determine changes in inflammatory parameter values ​​after foam sclerotherapy of varicose vein. The values ​​of inflammatory parameters were taken and compared immediately after treatment and seven days after treatment.</p> <p>METHODS: A total of 41 patients with verified varicose vein disease were included in this study. They were monitored immediately after treatment and seven days after treatment. Samples were taken from the cubital vein and 82 samples were analyzed. The following values ​​were measured: C-reactive protein, D-dimer, fibrinogen and leukocytes.</p> <p>RESULTS: Only positive results and significant differences were observed in D-dimer values. Significant changes were recorded in D-dimer levels, which showed significant increases 7 days after treatment. D-dimer levels increased from an average of 287.3 ng/ml to 350.9 ng/ml, which is a statistically significant change with a p-value of 0.04. The difference was not statistically significant for other parameters.</p> <p>CONCLUSION: D-dimers have been shown to be a specific inflammatory parameter in veins sclerotherapy. Increased values ​​did not affect blood hypercoagulability. Sclerosing agents are effective for seven days after treatment, and recovery should be adjusted to this finding. Although an increase in D-dimer values ​​has been proven, veins sclerotherapy treatment is a safe, extremely effective and reliable method of treating varicose veins, and will have an increasingly wide usage in future.</p>