What flavour structure of $t$-channel thermal dark matter remains compatible with current flavour physics and direct detection bounds? We broadly chart the space of hypotheses using the framework of flavour symmetries and their breaking patterns. We then focus on scenarios in which the fermionic dark matter and its scalar mediator are flavour singlets, falling into the class of rank-1 flavour violation. For two representative benchmarks, quarkphilic ($q_L$) and leptophilic ($e_R$), we perform a comprehensive phenomenological analysis, fitting the relic abundance and examining the interplay among flavour observables, direct detection, and collider searches. Our results quantify the allowed deviations from flavour-symmetric limits and assess the discovery prospects in future flavour and direct detection experiments.

Sweetcorn (Zea mays var. saccharata) is a subspecies of corn that is recognized by its soft, juicy, and sweet kernels. The primary challenge in cultivating this species is its limited technological maturity, which results in a short harvest season. To meet the increasing demand for this species from consumers and extend the harvesting season, producers have recently implemented various agrotechnical measures. This study aimed to research the impact of different transplantation dates on sweet corn yield. Field research was conducted at the experimental field of the Faculty of Agriculture and Food in Sarajevo, located at Butmir, from 2024 to 2025. The study encompassed three distinct transplantation dates, spaced ten days apart. During the technological harvest, we recorded plant height, dehusked ear length, dehusked ear mass, ear length, ear mass, and yield. The research results indicate that the planting date during the two years (2024 and 2025) significantly affected the ear yield, while it did not have a statistically significant effect on other traits. More specifically, the ear yield (dehusked and husked) was the highest in the second transplantation dates (14,056 and 8,818 kg ha⁻¹) compared to the first (10,258 and 7,027 kg ha⁻¹) and the third (11,643 and 7,628 kg ha⁻¹). The year of the research also showed a significant influence on the yield components. Changes in research traits were a consequence of different weather conditions in the research years.

Lemon balm leaves are a potential source of biologically active compounds, especially phenolic compounds. These compounds contribute to its antioxidative activity, serving as the plant's natural response to stress. The aim of the research was to determine the content of bioactive compounds and antioxidative activity in lemon balm samples grown in different parts of Bosnia and Herzegovina. Total phenolics, total flavonoids, and antioxidative activity were analyzed using aqueous and ethanolic extracts with the Folin-Ciocalteau and method with AlCl3 for phenolics and flavonoids, respectively. The pFRAP method was used for antioxidative activity. Research showed that geographic location had an impact on bioactive compound content and their antioxidative activity. It can also be concluded that the extraction solvent influenced the antioxidant activity of lemon balm leaves.

Plant pigments are important functional molecules in photosynthetic organisms and have been recognized as photoprotective compounds. This research aimed to determine the content of plant pigments in selected herbs and the influence of the drying process on the stability of chlorophylls and carotenoids. Coriander (Coriandrum sativum), parsley (Petroselinum crispum), dill (Anethum graveolens), and basil (Ocimum basilicum) were selected for analysis. Fresh herb material (0.5 g) was analyzed for plant pigment composition, including total chlorophyll, chlorophyll a and b, and total carotenoids. Following the initial assessment, samples were subjected to two dehydration treatments: air-drying and oven-drying at 45°C. Plant pigments were extracted from fresh and dried herbs using 80% (v/v) acetone. The concentrations of individual pigment fractions were determined spectrophotometrically by measuring absorbance at 470 nm, 648.6 nm, and 663.2 nm, following standard procedures for the quantification of photosynthetic pigments. Fresh parsley showed the highest total chlorophyll content (524.38±7.13 mg/100g), which was followed by the highest chlorophyll a (Chl a) and chlorophyll b (Chl b) content, with a Chl a/Chl b ratio of 1:2. Oven-dried basil had the lowest total chlorophyll content (196.83±4.95 mg/100 g dw). Fresh parsley showed the highest carotenoid content (114.99±2.04 mg /100 g dw), and air-dried basil samples had the lowest carotenoid content (23.85±0.95mg/100 g dw). The drying process showed a significant impact on plant pigments, with a consistent trend toward their degradation during dehydration. Nevertheless, the specific drying technique employed exerted only a minimal effect on the overall pigment content. 

Lettuce (Lactuca sativa L.) is a highly valued and nutritionally important crop. The goal of new production technologies is to shorten the vegetation period, allowing for a higher number of harvests, while preserving the environment and improving the nutritional quality of lettuce. This study investigated the effect of geothermal heating on growth dynamics and the accumulation of bioactive compounds in lettuce. Two production systems were compared: a greenhouse with geothermal heating and one without heating. The geothermal system provided a more stable soil temperature, which significantly shortened the vegetation period by 31 days. In contrast, lower soil temperatures in the unheated greenhouse enhanced secondary metabolism, leading to higher concentrations of phenolic compounds (80.5 mg GAE/100 g), flavonoids (2.37 mg/100 g), and increased antioxidant capacity (112.7 μmol Fe²⁺/100 g). These results indicate that temperature regimes strongly influence both primary growth processes and the synthesis of bioactive compounds in lettuce. Geothermal heating ensures faster crop development but may reduce the accumulation of certain antioxidants. Future research should aim to optimize temperature management to balance yield, energy efficiency, and nutritional quality in greenhouses lettuce production.

In Bosnia and Herzegovina, wheat and maize are the most important crops, holding a dominant position in the country's arable land. Consequently, this paper analyses wheat and maize production in the Brčko District, focusing on the applied agrotechnical measures and the economic results, as reflected by the gross margin per hectare. The research involved 30 farms in the district, with more than 1.5 hectares of the targeted crops. Data was collected through structured survey questionnaires, which included detailed questions about the applied agrotechnical practices, yields, costs, and revenues. The results indicate that average yields are 5.3 tons/ha for wheat and 8.7 tons/ha for corn. Economic analysis shows that the gross margin was 639 KM/ha for wheat and 1,611 KM/ha for corn. The higher financial results for maize are partly due to higher yields and more stable production. Conversely, the moderate gross margin for wheat highlights the need to optimize agrotechnical measures to boost productivity and economic profitability. The largest share of total costs is for mechanization and mineral fertilizers, while the most notable irregularities in applying agrotechnics occurred in fertilization, mainly due to the lack of soil fertility analysis. Therefore, this paper recommends conducting soil analysis before fertilization to optimize costs and prevent unnecessary fertilizer application. 

Scattered between many healthcare providers across the US, Electronic Health Records (EHR) are extensively used for research purposes. Collaboration and sharing of EHRs between multiple institutions often provide access to more diverse datasets and a chance to conduct comprehensive studies. However, these collaboration efforts are usually hindered by privacy issues that render the pooling of such data at a centralized database impossible. Furthermore, EHRs are often incomplete and require statistical imputation prior to the study. To enable collaborative studies on top of incomplete, private EHRs, here we provide a provably secure solution built with secure multiparty computation (SMC) that provides practical runtimes and accuracy on par with the state-of-the-art, non-secure equivalents. Our solution enables the utilization of distributed datasets as a whole to impute the missing data and conduct collective studies between non-trusting private data proprietors. We demonstrate its effectiveness on various synthetic and real-world datasets, and show that our solution can significantly improve the classification of high-risk patient outcomes during ICU admission.

Morus alba L., or white mulberry, is a small deciduous shrub from the Moraceae family, with well-known medicinal properties and beneficial effects on human health. Recent studies have confirmed the bioactive potential of this plant, including its antimicrobial effects, primarily against bacteria and viruses. In contrast, data regarding its antifungal activity are scarce. The main goal of this study was to evaluate the antifungal and antibiofilm capacity of white mulberry ethanolic and methanolic extracts derived from leaves and fruits against Candida albicans, through the measuring of fungal growth inhibition in the agar diffusion method; determining the minimum inhibitory concentration (MIC) by the broth microdilution method; defining the minimum fungicidal concentration (MFC); evaluation of the antibiofilm capacity of the extracts through the tissue culture plate method; and calculation of the biofilm-inhibition percentage. The fruit methanolic extract achieved the largest inhibition zones (31.00±1.00 mm), followed by the fruit ethanolic extract (30.00±1.00 mm). MIC values for all tested samples were defined at 125 µg/ml, while MFC values were determined at 250 µg/ml. In this study, C. albicans was evaluated as a strong biofilm former, and white mulberry extracts showed the potential to change the biofilm-forming capacity in subinhibitory concentrations. Fruit methanolic extract decreased this capacity in a wide range of concentrations, with biofilm inhibition up to 92.61%. Results indicate that white mulberry represents a strong candidate for further investigation in phytotherapy.

This paper presents a comprehensive benchmark study of a real-life 5G Standalone (SA) deployment with different Multiple Input Multiple Output (MIMO) configurations (1x1, 2x2, and 4x4) in an indoor office environment. We evaluate the impact of distance, obstacles, and material composition on key performance metrics, including throughput, Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), and Rank Indicator (RI). The results demonstrate that while higher-order MIMO configurations can deliver substantial throughput gains under favorable conditions, their effectiveness is fundamentally constrained by environmental factors such as signal attenuation, multipath propagation, and material-induced losses. Our results provide practical guidelines for indoor network planning and optimization, establishing concrete performance baseline for open-source 5G systems in typical office scenarios highlighting the critical importance of site selection.

This demonstration paper presents a real-life 5G Standalone proof-of-concept showcasing end-to-end network slicing with both inter-slice and intra-slice isolation across the 5G Core, Transport Network, and Radio Access Network domains. The system, based on a smart hospital scenario, highlights a decentralized 5G architecture that aligns slice selection, controlplane, and data-plane mechanisms to guarantee that network resources are securely partitioned across the entire infrastructure. The demonstration highlights the technical implementation of slice orchestration and performance isolation, showing how critical services such as robotic-surgery control or vital-sign sensors maintain guaranteed quality of service even under high load, while less critical services coexist without interference. The proof-of-concept confirms the practical viability of complete end-to-end network slicing for mission-critical applications that demand reliability, confidentiality, and predictable performance.

The exponential growth in connectivity and computing demand has made Network Function Virtualization Infrastructure (NFVI) a major contributor to global energy consumption. Conventional network and service deployments, whether based on legacy hardware appliances or NFVI stacks, struggle to dynamically provision resources for peak data traffic demand. This results in nearly constant energy consumption, even during low-traffic periods, leading to inefficient resource use. Network softwarization and virtualization have enabled flexible and programmable service deployments, which are beneficial for the rapid and dynamic scaling of network functions. This paper validates energy-aware service and network orchestration with a Zero-touch Network and Service Management (ZSM) framework for the autonomous optimization of computing, network, and power resources from NFVI in a use case focused on connected mobility, and in particular, smart traffic management. By modeling road traffic based on vehicle count and type and 3rd Generation Partnership Project (3GPP) profiles for data formats in vehicular communication scenarios, the ZSM framework adjusts services and resources to service requirements and to actual demand. Experimental validation on the real-life Smart Highway testbed in Antwerp, Belgium, demonstrates a strong correlation between vehicular traffic and power consumption, supporting the hypothesis that adaptive compute and network resource management reduces unnecessary energy use and advances the vision of sustainable and self-optimizing Sixth-Generation (6G) networks.

Despite major advances in Connected and Autonomous Vehicles (CAVs), edge cases such as unmapped construction zones or dense urban areas still require human intervention. Teleoperation, often combined with Level 4 automation, addresses these situations but demands strict network performance i.e., latency below 5 ms, uplink throughput above 25 Mbps, and 99.999% reliability, to ensure safe, responsive control under heavy load. This paper presents a Proof-of-Concept (PoC) 5G Standalone (SA) network supporting end-to-end Network Slicing for teleoperation. The PoC achieves seamless slice isolation across the 5G Core (5GC), Transport Network (TN), and Radio Access Network (RAN), enabling dynamic and cross-domain Network Slicing to meet teleoperation requirements.

Diabetes mellitus and inflammatory bowel disease are chronic inflammatory disorders characterized by immune dysregulation and rising global prevalence. Epidemiological studies increasingly suggest a bidirectional association between the two conditions, linked through shared mechanisms of intestinal barrier dysfunction, microbial dysbiosis, and sustained innate immune activation. Activated macrophages play a central role in driving mucosal inflammation through polarization toward a pro-inflammatory M1 phenotype, accompanied by increased production of inflammatory cytokines. These mediators disrupt tight junctions, induce epithelial apoptosis, and perpetuate cycles of immune activation and tissue injury. This macrophage–cytokine axis not only amplifies local inflammation but also sustains chronic barrier dysfunction, creating a pathogenic overlap between diabetes mellitus-associated intestinal injury and intestinal bowel disease. In this study, we used a low dose streptozotocin and high-fat diet-induced diabetic Sprague–Dawley rat model in both sexes to investigate the effects of chronic hyperglycemia on intestinal inflammation, with particular emphasis on macrophage activation and pro-inflammatory cytokine responses. We found inflammation in both small and large intestines with mucosal injury and barrier disruption, and immune activation involving macrophages and enhanced expression of CD68, iNOS, TNF-α, and IL-6. Female rats were more susceptible to gut-related inflammatory changes due to diabetes. These findings suggest a complex interplay between epithelial stress, immune signaling, and microbial factors supporting the role of intestinal inflammation in the immune–metabolic interaction in diabetes-associated intestinal changes, which may contribute to the pathogenesis of inflammatory bowel disease.

The Australian Open, together with Wimbledon, Roland Garros and the US Open, is one of the four biggest tournaments known as Grand Slams. As the first major tournament of the year, it is a very important and prestigious event. Since it is held immediately after the preparation period, players are expected to show a high level of physical, technical-tactical and psychological preparedness. It is played on a hard surface, which additionally increases the physical demands placed on tennis players. The aim of this research is to determine whether there is a statistically significant difference in the “winner” points achieved between winning and losing tennis players at the 2024 Australian Open. The study analyzed situational efficiency parameters between winners and losers. The sample of variables consisted of 246 players in 123 matches played at the 2024 Australian Open. All matches that were completed were included in the research; four matches ended with the retirement of one of the players and were therefore not included in order to obtain valid data in the final statistical analysis. The results were obtained based on the analysis of points won during the match, using seven (7) different tennis strokes. Discriminant analysis of the obtained data showed that there are statistically significant differences between winning and losing tennis players in certain tennis strokes. The results showed that the greatest difference was in the “overhead” stroke, in favor of the winners.Keywords:tennis, tennis strokes, situational efficiency parameters, Australian Open, discriminant analysis.