Because of its nutritional and medicinal qualities, honey is a significant dietary supplement that should be safe to consume. Honey samples (n=33) of different origin from various geographical locations in Bosnia and Herzegovina were examined with the aim of characterization. The study revealed following mean values: 16.95 %; 4.36; 0,19%; 72.56%, 0.73 mS/cm; 24.17 mEq/kg; 18.50 mg/kg and 34.84 mEq/kg for water content, pH, ash, sugar, electrical conductivity, diastase activity, hydroxymethylfurfural (HMF) and free acidity, respectively. Ten samples (30.30%) did not meet the required level of physicochemical quality. For each sample, total viable count, Enterobacteriaceae, sulfite reducing clostridia, yeasts, molds and Salmonella sp., were determined. Total viable counts varied between 10 and 8300 cfu/g, sulfite reducing anaerobic bacteria between 10 and 50 cfu/g and molds level were between 100 and 7000 cfu/g, respectively. None of the samples contained Salmonella sp. or bacteria from Enterobacteriaceae gender. With reference to Bosnia and Herzegovina standards, maximal levels of selected microbiological properties were exceeded for two samples (6.06%) regarding clostridia and 14 samples (42.42%) for molds count. Cladosporium sp., Penicillium sp., Mucor sp., and Alternatia sp. were molds identified in Bosnian honey. These molds originate mainly from primary sources of contamination. It is of great importance to maintain and improve the quality of domestic honeys since a large percentage of them are intended for export or domestic consumption due to it antibacterial, antioxidant and anti-inflammatory properties.

Soils play an important role in the global carbon cycle by storing organic carbon and releasing carbon dioxide (CO2) through biological processes. Land use management practices influence soil CO2 emissions by changing physical, chemical, and biological soil properties. Seasonal soil C-CO2 emissions (soil CO2 efflux expressed as C-CO2 in kg ha−1 day−1) were analyzed under cropland, orchard, grassland, forest, and abandoned land, in a peri-urban area in central Croatia in 2021 and 2023. Emissions were measured using the static method in a closed chamber, accompanied by measurements of soil temperature, moisture, and total porosity. In both years, grassland and orchards had the highest average soil C-CO2 emissions, whereas cropland showed consistently lower values. However, total soil C-CO2 emissions were significantly lower in 2023, probably influenced by higher precipitation and changes in soil moisture. The seasonal trends differed from year to year, with the highest emissions recorded in fall 2021 and spring 2023. In both years, there was a positive correlation between average soil C-CO2 emissions and soil temperature/moisture, while soil porosity also contributed to the observed emission variations. The results show the significant influence of land use types on soil C-CO2 emissions and emphasize the importance of seasonal and environmental factors in assessing soil carbon cycling. This research enhances understanding of soil contributions to climate change and supports the development of sustainable land management practices aimed at reducing greenhouse gas emissions.

  The Chair of Silviculture and Urban Greenery an organizational unit of the Faculty of Forestry at the University of Sarajevo, is dedicated to excellence in both education and scientific research. Our focus encompasses silvicultural systems, natural and artificial regeneration, forest genetics, and urban greenery. Informed by natural processes our Chair plays important role in shaping decisions related to forest management. We are dedicated to exploring the complexities of old growth forests, emphasising biological and genetic diversity. Furthermore, our interest extends to the dynamic realm of urban greenery. Through its history, the Chair has undergone transformative phases, culminating in its nomenclature established in 1996. At present our Chair comprises five accomplished professionals - a distinguished academician, full professor, associate professor, senior Ph.D. assistant and a dedicated assistant. The Chair of Silviculture and Urban Greenery is organized into two distinct scientific fields. One field concentrates on forest seed collection, forest nurseries, reforestation (both natural and artificial) and various silvicultural systems. Simultaneously, the second field deals with forest genetics. Both scientific fields converge to address the multifaceted aspects of urban greenery. Driven by a clear mission, our Chair is resolute in its commitment to educating students and advancing scientific knowledge. This dedication is evident from our efforts ranging from writing textbooks to publishing impactful scientific papers. In alignment with our vision for the future, we actively monitor scientific trends in the field of silviculture and forest genetics globally, implementing these insights at the Faculty to stay at the forefront of academic excellence.

Harvest timing is a critical factor in viticulture, as it directly influences grape composition and, consequently, wine quality. This study evaluated the effects of harvest timing on the physical and chemical traits of two widely cultivated grape varieties from the Trebinje vineyard area, Bosnia and Herzegovina. Basic chemical parameters (total soluble solids, pH, titratable acidity) were measured alongside cluster and berry traits, including length, width, and weight of clusters; the number and weight of berries; the skin and flesh weight of 100 berries; and the number and weigh of seeds. Early-harvested grapes showed greater cluster weight but lower total soluble solids, higher titratable acidity, and lower pH compared to later harvests in both cultivars. Changes in cluster and berry traits were more pronounced in ‘Vranac’, where berry weight, skin and flesh mass increased significantly at later harvests, however, in ‘Žilavka’ only the seed weight was notably affected. Across all harvests period, ‘Žilavka’ consistently exhibited higher total soluble solids and lower pH values than ‘Vranac’, indicating a strong varietal effect on grape quality. These findings highlight that delaying harvest within the recommended window can enhance grape composition, while varietal differences determine the extent of morphological and chemical changes during ripening.

The long-term sustainability of research software is a critical challenge, as it usually suffers from poor maintainability, lack of adaptability, and eventual obsolescence. This paper proposes a novel approach to addressing this issue by leveraging the concept of fitness functions from evolutionary architecture. Fitness functions are automated, continuously evaluated metrics designed to ensure that software systems meet desired non-functional, architectural qualities over time. We define a set of fitness functions tailored to the unique requirements of research software, focusing on findability, accessibility, interoperability and reusability (FAIR). These fitness functions act as proactive safeguards, promoting practices such as modular design, comprehensive documentation, version control, and compatibility with evolving technological ecosystems. By integrating these metrics into the development life cycle, we aim to foster a culture of sustainability within the research community. Case studies and experimental results demonstrate the potential of this approach to enhance the long-term FAIR of research software, bridging the gap between ephemeral project-based development and enduring scientific impact.

INTRODUCTION This study investigates the molecular docking of 306 phytochemicals from Iris, Daphne, and Chrysosplenium species against three key proteins of the H5N1 influenza virus: neuraminidase, polymerase, and hemagglutinin. Phytochemicals are recognized for their antiviral potential, but interactions between compounds from these genera and H5N1 proteins remain underexplored. Given the ongoing threat of H5N1, identifying novel inhibitors is essential. The main intent is to evaluate the binding affinities of selected phytochemicals through molecular docking and assess the drug-likeness of top candidates using pharmacokinetic and physicochemical filters. METHODS Molecular docking was performed for 306 phytochemicals against the three H5N1 proteins. Fourteen promising compounds were further screened for physicochemical properties, compliance with Lipinski's Rule of Five, Veber's Rule, and PAINS alerts. RESULTS All compounds exhibited no PAINS alerts, with several conforming to Lipinski's Rule of Five and Veber's Rule. Edgeworoside A emerged as the top-performing compound, showing strong binding affinity across all three targets and favorable interaction profiles. Triumbellin and daphnogi-rin A exhibited significant binding affinity for hemagglutinin and neuraminidase, as well as for polymerase, respectively. Compounds such as 3-isobutenylquercetin, irisoid E, junipegenin A, daphne-toxin, and excoecariatoxin exhibited high binding potential without violating drug-likeness criteria. CONCLUSION Several phytochemicals, particularly edgeworoside A, demonstrate promising multi-target potential against H5N1 influenza proteins. These findings highlight the therapeutic relevance of compounds from underexplored plant genera and support their further development through in vitro, in vivo, and preclinical studies.

EURO-Titan project aims upscaling Ti-metal powder manufacturing from metallurgical residues, abundantly available in Europe. The demonstration of the overall process is planned at the Al-Doo Aluminium plant (Bosnia-Herzegovina) and at ORANO (France). For Ti extraction from red mud, reduction was applied at 1600 ?C in an electric arc furnace to remove most of the iron through magnetic separation. Then the slag is leached by sulfuric acid at variable pressure to obtain the highest yield of titanium oxysulfate. Highest Ti-leaching efficiency (95%) was reached at 150 ?C using 5 mol|L sulfuric acid at 9 bar oxygen in 2 h. For Ti-leaching by sulfuric acid from tionite, a byproduct of the titanium dioxide production through sulfate processing, gave lower leaching efficiency under high pressure in an autoclave, altered Ti-compounds resist to dissolution. Nanosized and submicron TiO2-powders were prepared from Ti oxysulfate, using ultrasonic spray pyrolysis and hydrogen reduction between 700 and 1350°C.

The exponential growth of user-generated video content necessitates efficient summarization systems for improved accessibility, retrieval, and analysis. This study presents and benchmarks a multimodal video summarization framework that classifies segments as informative or non-informative using audio, visual, and fused features. Sixty hours of annotated video across ten diverse categories were analyzed. Audio features were extracted with pyAudioAnalysis, while visual features (colour histograms, optical flow, object detection, facial recognition) were derived using OpenCV. Six supervised classifiers—Naive Bayes, K-Nearest Neighbors, Logistic Regression, Decision Tree, Random Forest, and XGBoost—were evaluated, with hyperparameters optimized via grid search. Temporal coherence was enhanced using median filtering. Random Forest achieved the best performance, with 74% AUC on fused features and a 3% F1-score gain after post-processing. Spectral flux, grayscale histograms, and optical flow emerged as key discriminative features. The best model was deployed as a practical web service using TensorFlow and Flask, integrating informative segment detection with subtitle generation via beam search to ensure coherence and coverage. System-level evaluation demonstrated low latency and efficient resource utilization under load. Overall, the results confirm the strength of multimodal fusion and ensemble learning for video summarization and highlight their potential for real-world applications in surveillance, digital archiving, and online education.

The development of technology has influenced changes in agricultural production. Farmers are increasingly using modern devices and machinery that provide valuable information, and to manage this information effectively, it is necessary to use specialized applications. This research aims to evaluate various applications and determine which one is most suitable for small- and medium-sized farmers to adopt in precision agriculture. This research employed expert decision-making to determine the importance of criteria and evaluate applications using linguistic values. Due to the presence of uncertainty in decision-making, an interval type-2 fuzzy (IT2F) set was used, which addresses this problem through the support of a membership function. This approach allows for the display of uncertainty and imprecision using an interval rather than a single exact value. This enables a more flexible and realistic representation of ratings, leading to more confident decision-making. These membership functions are formed in such a way that there is symmetry around the central linguistic value. To use this approach, the SiWeC (simple weight calculation) and CORASO (compromise ranking from alternative solutions) methods were adapted. The results of the IT2F SiWeC method revealed that the most important criteria for experts are data accuracy, efficiency, and simplicity. The results of the IT2F CORASO method displayed that the A3 application delivers the best results, confirmed by additional analyses. This research has indicated that digital tools, in the form of applications, can be effectively used in small- and medium-scale precision agriculture production.

The progress of Bosnia and Herzegovina in the process of EU integrations can be described as slow and difficult. Many reasons contribute to such development, starting with political instability. However, even in the case of absence of political difficulties, certain features of the constitutional and legal system of the country make decision-making at state level and conducting necessary reforms slow and ineffective. Bosnia and Herzegovina’s constitution is a part of a Dayton Peace Agreement, which was a result of long peace negotiations to end one of the bloodiest conflicts in the 1990’s. It achieved in stopping the conflict, but inserted many features which make reforms difficult, such as complicated decision-making process, fragmented state apparatus and division of competences between different levels of government. One of the features of the constitutional system is the set of group rights belonging to the so-called constituent peoples. The principle foresees certain procedural rules related to the parity in appointment of officials as well as necessary quotas and veto powers in the decision-making process in the legislative and executive bodies. Primarily seen as a compromise to bring back inter-ethnic trust, in recent years, it has been increasingly seen by European Institutions such as European Court of Human Rights and the European Commission, as discriminatory and ineffective, hampering the progress of the state on its path to EU integration. The European Court of Human Rights has in multiple cases described the realization of principle of constituent peoples as contrary to human rights standards. On the other hand, the EU institutions, such as European Commission, in its assessments of the readiness of Bosnia and Herzegovina to progress in EU integrations and potentially become a EU Member state, has pointed to the fact that realization of the principle is detrimental to the decision-making process. The non-compliance with the European Court of Human Rights decisions related to the discriminatory nature of the principle, has slowed the country’s EU integration process, even in the stage of signing of the Stabilization and Association Agreement, as is still an outstanding obligation.  All of that is negatively impacting institutional frameworks aimed at devising and implementing necessary reforms on the EU integration path. This article analyses the position of the principle of “constituent peoples” in the legal system of the country and its evaluation by the European institutions as detrimental to country’s progress.

Every day, new discoveries are made by researchers from all across the globe and fields. HICSS is a flagship venue to present and discuss such scientific advances. Yet, the activities carried out for any given research can hardly be fully contained in a single document of a few pages-the"paper."Indeed, any given study entails data, artifacts, or other material that is crucial to truly appreciate the contributions claimed in the corresponding paper. External repositories (e.g., GitHub) are a convenient tool to store all such resources so that future work can freely observe and build upon them -- thereby improving transparency and promoting reproducibility of research as a whole. In this work, we scrutinize the extent to which papers recently accepted to HICSS leverage such repositories to provide supplementary material. To this end, we collect all the 5579 papers included in HICSS proceedings from 2017-2024. Then, we identify those entailing either human subject research (850) or technical implementations (737), or both (147). Finally, we review their text, examining how many include a link to an external repository-and, inspect its contents. Overall, out of 2028 papers, only 3\% have a functional and publicly available repository that is usable by downstream research. We release all our tools.

Large Language Models (LLMs) are transforming human decision-making by acting as cognitive collaborators. Yet, this promise comes with a paradox: while LLMs can improve accuracy, they may also erode independent reasoning, promote over-reliance and homogenize decisions. In this paper, we investigate how LLMs shape human judgment in security-critical contexts. Through two exploratory focus groups (unaided and LLM-supported), we assess decision accuracy, behavioral resilience and reliance dynamics. Our findings reveal that while LLMs enhance accuracy and consistency in routine decisions, they can inadvertently reduce cognitive diversity and improve automation bias, which is especially the case among users with lower resilience. In contrast, high-resilience individuals leverage LLMs more effectively, suggesting that cognitive traits mediate AI benefit.