This study investigates flight route optimization in a large airline network by comparing traditional path-finding algorithms with an evolutionary approach under realistic constraints. Using a real-world dataset of 6,817 routes, Dijkstra’s algorithm, the A ${}^{\ast }$ search algorithm with precomputed heuristics, and a Genetic Algorithm (GA) were implemented. All methods were evaluated on identical origin–destination pairs while enforcing an exact number of layovers, and on scenarios where direct flights were removed or newly introduced. The results show that, although Dijkstra’s algorithm always returns the optimal shortest-time route when one exists, its computation time increases rapidly as the number of required layovers increases. A ${}^{\ast }$ improved the efficiency in dense subgraphs but sometimes failed under strict layover constraints owing to heuristic misalignment. In contrast, GA consistently produced near-optimal routes with stable runtimes across varying connectivity levels and constraint settings. Route removal experiments highlighted the vulnerability of sparsely connected regions, whereas adding direct flights mainly benefited airport pairs previously linked only by long multi-stop paths. These findings indicate that evolutionary algorithms are well-suited for large-scale, dynamically changing airline networks, whereas classical algorithms remain preferable for smaller, well-structured subproblems.

Emerging fifth-generation (5G) capabilities such as network slicing and network-exposed application programming interfaces (APIs) aim to support vertical industries with stringent Quality of Service (QoS) requirements. However, current solutions lack per-user observability and real-time adaptation, limiting their effectiveness in dynamic, safety-critical environments. This paper introduces Enricher, a modular edge-based framework that autonomously optimizes application-level QoS by leveraging standardized APIs such as CAMARA. Enricher operates as middleware between vertical applications and 5G infrastructure, combining localized telemetry, artificial intelligence (AI)-based forecasting, and intent-driven control, without requiring telecom-specific logic from vertical developers. We validated Enricher’s performance in a real-world 5G standalone (SA) deployment for teleoperated vessel control at the Port of Antwerp-Bruges. Compared to baseline approaches, Enricher reduces Service-Level Agreement (SLA) violations by 84% and resource overprovisioning by 36%, achieving 97.3% SLA compliance. These results position Enricher as a deployable and domain-agnostic solution for per-application QoS adaptation in 5G and beyond.

Background: Wound healing is a complex physiological process involving hemostasis, inflammation, proliferation, and remodeling. Erythrocyte and platelet parameters, along with erythrocyte morphology including poikilocytosis, are valuable indicators of systemic responses to injury and therapeutic interventions. Manuka honey and chlorine dioxide (ClO2) are known for their antimicrobial and reparative properties, yet systemic hematological effects following topical application remain poorly characterized. Aim: This study aimed to evaluate systemic hematological responses in Wistar rats with surgically induced wounds following the topical application of manuka honey and ClO2, compared with gentamicin treatment and untreated controls, focusing on erythrocyte and platelet parameters and poikilocytosis. Methods: Sixty Wistar rats were randomly assigned to four groups: control (C, n=15), gentamicin (AB, n=15), manuka honey (MH, n=14), and chlorine dioxide (ClO2, n=15). Under full anesthesia, a 4 cm abdominal incision was surgically induced in all rats, followed by twice-daily topical treatment for 14 days. On day 14, peripheral blood samples were collected for hematological analysis, including red blood cell count (RBC), hemoglobin concentration (HGB), hematocrit (HCT), platelet count (PLT), plateletcrit (PCT), and poikilocytosis. Statistical comparisons were performed using the Kruskal-Wallis test, significance was set at p < 0.05. Results: Most hematological parameters remained within expected physiological ranges. Significant intergroup differences were observed for HGB, HCT and PLT. Post hoc Dunn comparisons showed that HGB was significantly higher in the AB group than in the C group (p=0.011), ClO2 (p=0.015), and MH (p=0.006) groups. HCT was significantly higher in the AB group compared with the C (p=0.037), ClO2 (p=0.015), and MH (p=0.011) groups. PLT was significantly higher in the ClO2 group compared with the C (p=0.041), AB (p=0.019) and MH (p=0.014) groups. Poikilocytosis was minimal in all groups, primarily absent to mild, with the most frequent forms being anulocytes and stomatocytes. Conclusion: At the evaluated endpoint, topical application of manuka honey and ClO2 did not reveal marked systemic hematological disturbances in Wistar rats with surgical wounds. ClO2 had the most pronounced effect on platelet parameters among the tested treatments. Minimal poikilocytosis further supports the relative hematological stability observed at the evaluated endpoint. These findings provide valuable insights into systemic responses to topical treatments applied to surgically induced wounds and support further studies incorporating leukocyte profiling, complementary hematological, immunological, and histopathological assessments.

: This paper presents the simulation model “Simulation of Technological Knowledge Recovery in a Post - Apocalyptic Scenario”, designed to explore the key question of how widely technological knowledge must be distributed to survive a cataclysmic event. The model is implemented in the NetLogo environment using an agent-based approach to simulate a complex system of education and knowledge distribution related to electrical grid infrastructure. The study focuses on critical factors affecting technological sustainability and applies the Knowledge Survival Formula (ZP) to evaluate system resilience. The formula incorporates four main components: knowledge distribution, center availability, critical mass of experts, and internal resources. The simulation results offer insight into strategies for preserving technological knowledge under crisis conditions and show that greater decentralization of knowledge significantly improves resilience and long-term survival.

The aim of this study is to analyse the affect of climate aridity impact, through to the climate indices - Forest Aridity Index (FAI) and Ellenberg climate quotient (EQ), on the nitrogen (N), phosphorus (P), potassium (K) content and N/P, N/K ratio in leaves of European beech in Serbia. The analysis of the macroelements concentration in the leaves shows that beech leaves contain: N - 9.82-19.62 mg/g, P - 0.82-1.53 mg/g, K - 4.83-11.11 mg/g. N/P ratio is 8.61-16.39 and N/K ratio 0.95-2.81. FAI index was in a range of values 3.19-7.10, and EQ quotient was in a range of values 15.27-30.24. Based on the research of the macronutrient content in beech leaves and the FAI and EQ at different altitudes, it can be concluded that FAI and EQ were statistically significant correlated with N and P content, and with N/K, respectively. An increase in indices values linearly causes a decrease in the concentration of key macronutrients N and P. The only parameter examined on which warmer and drier climate (through to the FAI and EQ index), did not have a statistically significant effect was the concentration of K.

Dendroflora as a basic element of a green area plays a key role in the fulfilment of ecosystem services in all landscape architecture structures within a city. The objective of this paper is to show dendroflora diversity through the analysis of dendrofloristic elements of Mali Park in Obrenovac. In the studied area of 0.65 ha 28 taxonomic categories were identified including 10 Gymnosperms and 18 Angiosperms, with 218 trees recorded in total. The most dominant species in the park are Cedrus atlantica (Endl.) G.Manetti ex Carrière (Gymnosperms) and Betula pendula Roth (Angiosperms). According to origin, the taxa are divided into four categories with different share: allochthonous taxa (13), autochthonous taxa (12), cultivars (2), hybrid taxa (1). The research indicates the importance of increasing the share of resistant species in the dendrofund, with an emphasis on autochthonous species, in order to maintain ecological stability and improve quality of life.

The rapid advancement of quantum computing presents an urgent threat to 5G networks, particularly across sensitive roaming boundaries. While existing quantum-safe solutions typically require intrusive modifications to core network functions, this paper introduces a highly crypto-agile, non-intrusive proxy architecture to secure the N32 control-plane and N9 user-plane roaming interfaces. By deliberately isolating cryptographic operations within local, containerized proxies, our design avoids complex dependency upgrades on the running 5G core. To maximize practical deployability, we developed proof-of-concept prototypes based on OpenSSL 3.5.4 offering two distinct, highly configurable variants. The first enables immediate, software-only integration utilizing Post-Quantum Cryptography (PQC) suites (ML-KEM/ML-DSA, BIKE/Falcon). The second deploys autonomous agents in a custom Pre-Shared Key (PSK) configuration fed by out-of-band Quantum Key Distribution (QKD), enabling dynamically enforced cryptoperiods and seamless Public Key Infrastructure (PKI) fallback mechanism based on real-time key availability. We evaluate this architecture using a comprehensive open-source testbed combining Open5GS and QKDNetSim. To assess practical deployability, we measured control-plane registration times, cryptographic data volume, user-plane delay, and QKD key consumption against legacy HTTP(S) baselines. Experimental results demonstrate that these quantum-safe architectures perform comparably to, or better than, legacy security. The PQC proxies maintained competitive cold-start registration times (261–285 ms), successfully balancing computational and bandwidth trade-offs. Notably, the QKD-assisted PSK configuration achieved the highest efficiency, reducing median registration time to 258.2 ms (a 4.5% improvement over legacy HTTPS) and restricting handshake data volume to 12.3 kB by bypassing heavy asymmetric certificate authentication. Furthermore, all prototypes successfully secured the traditionally unencrypted GPRS Tunnelling Protocol user plane (GTP-U) traffic traversing the N9 interface with a practically negligible delay increase ( $\sim 300~\mu $ s). Finally, the study highlights critical transport-layer constraints, such as TCP-in-TCP congestion interference, underscoring the necessity of DTLS 1.3 to optimize practical, quantum-resilient telecommunications infrastructure.

Research laboratory buildings are among the most energy-intensive building types due to their high energy demand, ventilation requirements, and the need to maintain controlled indoor environmental conditions. Previous indoor environmental quality (IEQ) investigations exist; however, IEQ research on purpose-built research laboratory buildings, particularly those constructed during the middle of the 20 th century, remains underexplored. This study investigates the IEQ conditions of a mid-century research laboratory building constructed in 1960 and located on the University of Utah campus. Indoor environmental data were collected in two representative chemical engineering laboratories located within the basement and third floors of the building. This paper presents results from a seven-month analysis period, spanning April to October 2025. The monitored IEQ parameters included indoor air temperature, relative humidity (RH), carbon dioxide (CO 2 ) concentration, and fine indoor particulate matter (PM2.5). Measurements were recorded at hourly intervals and analyzed to assess temporal variations at both hourly and monthly scales. The results showed distinct thermal and indoor air quality patterns between the two laboratories. The basement laboratory (Basement Lab) had extended periods of underheating during the fall months, while the third-floor laboratory (Lab 3) exhibited more stable thermal conditions with occasional short-term temperature increases during summer. Relative humidity levels in both spaces showed pronounced seasonal variability, including extended periods below recommended comfort ranges. For both laboratories, CO 2 concentrations generally remained below the commonly adopted indoor air quality threshold of 1000ppm, although intermittent spikes were observed in the third-floor laboratory during occupied periods. Lastly, PM 2.5 concentrations were consistently low in both spaces throughout the monitoring period. Overall, the findings from this study illustrate how IEQ conditions are influenced by floor level, facade exposure, room volume, and occupancy patterns within a mid-century research laboratory building. The study provides empirical evidence that can support future performance assessments aimed at improving occupant comfort and environmental performance in existing laboratory facilities.

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This paper examines country-level determinants of venture capital investment (VCI) across 22 European economies from 2013 to 2020. We combine Invest Europe VCI totals with 14 indicators from the Global Innovation Index (GII) and classify each indicator into quintile tiers. Using one-way ANOVA with Tukey HSD post-hoc tests, we assess whether VCI differs systematically across tiers for each determinant. VCI is highly concentrated: France and Germany form a persistent upper tail, followed by the Netherlands, while Romania, Bulgaria, and Greece sit at the lower end. Eleven of fourteen indicators display significant between-tier differences in VCI: business environment, government effectiveness, gross expenditure on R&D, human capital and research, ICT access, ICT use, knowledge & technology outputs, knowledge creation, patent applications, PCT applications, and university–industry collaboration. By contrast, creative goods & services, ICT services exports, and political/operational stability do not discriminate VCI within this European sample. Results are robust to alternative binning, log-VCI transformation, and exclusion of the largest ecosystems. We interpret the patterns as consistent with VCI concentrating where institutional quality is strong, innovation inputs are deep, digital readiness is advanced, and knowledge/IP outputs are abundant. The findings offer actionable priorities for policy aimed at strengthening SME finance ecosystems, while acknowledging the study’s associative design and the aggregation of VCI across stages and sectors.

Since the radiation effect manifest itself in association with other macroscopic phenomena (temperature, voltage, noise), the central topic examined in this paper is the influence of the dose of gamma radiation on macroscopic characteristics, i. e. on the ideality factor. The physical phenomena under consideration are complex because, in addition to high-energy gamma radiation, there is also a 1/f noise of low-energy radiation. In addition, in the semiconductor detector of electromagnetic radiation, all the microscopic effects characteristic of the behavior of the diode structure in the synergy of high-energy and low-energy radiation field come to the fore. Since all the effects that occur are of a stochastic nature, their influence on the macroscopic properties of the detector is expressed by the ideality factor. In the paper, stochastic phenomena of microscop discharges in a semiconductor (p-n) detector are connected with macroscopic phenomena, as well as the possibility of their statistical correlation.