Post-war Bosnia and Herzegovina remains a society in which ethno-nationalist rhetoric and war memories permeate public discourse. This paper investigates the use of metaphors in media texts written in English and the Bosnian, Croatian, and Serbian language on the topic of ‘two schools under one roof’. Writing about this peculiar construct within the country’s educational system tackles socio-political factors and their effects on the provision of primary and second-ary education. We describe how metaphors as cognitive devices are used to portray educational developments in this post-conflict country and the effects of their use on recipients. The paper points out cases of deliberate metaphor use, which influences recipients’ perspectives on the topic at hand. Keywords: conceptual metaphor; deliberate metaphor; segregation; MIPVU.

The aim of this research was to determine the physical activity of primary school students in the area of Herzegovina-Neretva Canton. The research was conducted on a sample of N=2589 elementary school students from I to IX grades. The obtained data show that out of the total number of respondents, there are more students who do not play sports (54.4%) than students who play sports (45.6%). Only among fourth grade there are more students who play sports (57.8%) than students who don't play sports (42.2%). In all other classes, there are more students who don't play sports. Keywords: physical activity, primary school, students, sports

Pesticides used in agriculture can contaminate foods like fruits and vegetables, posing health risks to consumers and highlighting the need for effective residue monitoring. This study explores aqueous two-phase systems (ATPSs) comprising phosphonium or ammonium ionic liquids (ILs) combined with ammonium sulfate as an alternative pre-treatment method for extracting and concentrating the pesticides clomazone, pyraclostrobin, and deltamethrin from strawberry samples. Liquid–liquid equilibrium measurements for each ATPS were conducted, followed by extraction experiments to determine the most efficient systems for pesticide extraction. Results showed that all three pesticides migrated effectively to the IL-rich phase across the tested ATPSs. For the most promising system, tetrabutylphosphonium salicylate ([TBP][Sal]) with ammonium sulfate, extraction efficiencies for each pesticide exceeded 98% under optimized conditions for parameters such as pH, temperature, and ATPS composition. Application of this ATPS to strawberries resulted in significant pesticide preconcentration, reaching mg/L levels suitable for detection by liquid chromatography. The method’s sustainability was supported by green chemistry metrics, with AGREEprep and AGREE scores of 0.68 and 0.55, respectively, underscoring its alignment with eco-friendly practices.

The paper focuses on analyzing key factors influencing the effectiveness of internal audit in the public sector of Bosnia and Herzegovina (BiH). Through multiple regression analysis (Ordinary Least Squares-OLS), the impact of five independent variables (competence of internal auditors, size of internal audit department, relationship between internal and external auditors, management support for internal audit, and independence of internal auditors), two control variables (organization’s sector and total number of employees in the organization), on the dependent variable (effectiveness of internal audit) was measured. Research results indicate that a significant portion (.2 = 45.00%, Adj .2 = 40.90%) of the variability in the effectiveness of internal audit can be explained by the variability of the five independent variables in the model. The largest positive impact on the effectiveness of internal audit is attributed to the size of the internal audit department and the independence of internal auditors. Conversely, management support for internal audit had the least impact, which contradicts our predictions and the results of previous research. The limited impact of management support on the effectiveness of internal audit in the public sector of BiH may stem from a lack of understanding regarding the role and importance of internal audit, as well as from perceiving it as merely a formal legal requirement without substantial value.

The river channel cut into an alluvial substrate constantly adapts to changes in water flow and sediment transport. This paper presents a new approach to determine the magnitude of channel deformation based on the definition of dimensionless spatial parameters of channel deformation. The new approach’s applicability is evaluated by experimental studies on the Željeznica River in the Sarajevo Field in central Bosnia and Herzegovina. The morphological changes of the channel over a period of ten years were analyzed using dimensionless parameters of the channel geometry. A numerical analysis of changes in the channel of the Željeznica River was carried out using a mathematical model and a selected equation for sediment transport. Sensitivity analysis of the model parameters for channel deformation and statistical reliability analysis of the numerical model showed a good agreement between the modeled and observed values of channel deformation parameters during the analyzed period.

Simple Summary This study investigates lung cancer detection by combining metabolomics and advanced machine learning to identify small cell lung cancer (SCLC) with high accuracy. We analyzed 461 serum samples from publicly available data to create a stacking-based ensemble model that can distinguish between SCLC, non-small cell lung cancer (NSCLC), and healthy controls. The model has 85.03% accuracy in multi-class classification and 88.19% accuracy in binary classification (SCLC vs. NSCLC). This innovation relies on sophisticated feature selection techniques to identify significant metabolites, particularly positive ions. SHAP analysis identifies key predictors such as benzoic acid, DL-lactate, and L-arginine, shedding new light on cancer metabolism. This non-invasive approach presents a promising alternative to traditional diagnostic methods, with the potential to transform early lung cancer detection. By combining metabolomics and machine learning, the study paves the way for faster, more accurate, and patient-friendly cancer diagnostics, potentially improving treatment outcomes and survival rates.

Current literature on the privacy paradox in personalised advertising lacks insight into how consumers’ knowledge of the data types used shapes their responses to these ads. Building on privacy calculus theory, theory of reasoned action, and signalling theory, this research explores how consumers’ knowledge of data types in personalised advertising influences their reactions. Multigroup path analysis examines differences in established relationships based on consumers’ data knowledge. The moderating effect of this knowledge in the relationship between perceived invasiveness and purchase intentions is also tested. Findings from a sample of millennials indicate that privacy concerns increase perceived invasiveness. However, multigroup and moderation analyses reveal that perceived invasiveness’ impact on purchase intentions varies with consumers’ data knowledge. Specifically, in the search history group, perceived intrusiveness negatively affects purchase intentions. These results underscore the situation-specific nature of the privacy calculus and assist advertisers in understanding consumer behaviour in response to personalised ads.

The aim of the research was to determine the psychometric properties of the Multidimensional Scale of Perceived Social Support in individuals with disabilities in Bosnia and Herzegovina. The research included a total sample of 232 participants, with an average chronological age of 44.21±19.31 years, of which 121 (52.2%) were male and 111 (47.8%) were female. The study was conducted among individuals with motor impairments, visual and hearing impairments, speech and language disorders, and combined disabilities. To achieve the research objective, the Multidimensional Scale of Perceived Social Support was applied, consisting of 12 assessment variables scaled from 1 to 7. The research data were processed using parametric and non-parametric statistical methods. A multivariate method of exploratory factor analysis was applied to identify factors in a given domain when the number and structure of factors are not previously known, along with confirmatory factor analysis using the maximum likelihood algorithm. Following factorization, the internal consistency coefficient (Cronbach's alpha) was calculated, and the reliability of the variables was assessed through inter-item statistics. Based on the obtained research results, it can be concluded that the Multidimensional Scale of Perceived Social Support has satisfactory reliability and internal consistency for use among individuals with disabilities in Bosnia and Herzegovina. The results of both exploratory and confirmatory factor analysis indicate a suitable three-dimensional model and confirm the original structure of the scale, which can be applied to individuals with disabilities in Bosnia and Herzegovina. Keywords: Social support, disability, validity, reliability, factor analysis.

Leisure time in contemporary society is increasingly becoming a crucial factor in shaping the personalities of children and youth. Alongside family, schools play a central role in organizing and shaping students' leisure time. The aim of this paper is to examine the role of schools in the pedagogical structuring of students’ leisure time and to explore differences in the perception of leisure time between students in urban and rural schools. The research was conducted on a sample of 140 seventh-grade students from elementary schools in the Tuzla Canton. The study analyzed students' ways of spending leisure time, the involvement and support of schools in organizing leisure time, and the perception of societal support for students' leisure activities. The results of the research indicate that students most frequently spend their leisure time in activities without significant pedagogical influence. Most students occasionally participate in school clubs, with significant differences observed between urban and rural schools in the type and number of activities available. Teachers and parents are the primary sources of support in organizing leisure time, while the broader community offers limited support. The findings suggest that schools play an important role in the organization of leisure time but that there are significant disparities in the activities available to students in different environments. Although activities such as sports and cultural clubs remain popular, students are increasingly gravitating towarddigital content, which may reduce the pedagogical value of leisure time. Schools should continue to develop and adapt leisure activities to meet students’ needs, with greater involvement from the broader community and support in fostering healthy and constructive patterns of leisure time usage. Keywords:school, children, education, leisure time.

Numerical and pseudo data for pion electroproduction from four reaction channels, p(γ*, π 0)p, p(γ*, π +)n, n(γ*, π− )p, and n(γ*, π 0)n, from threshold up to W = 1.575 GeV are used to perform a single energy partial wave analysis. As a constraint, higher partial waves are taken from the MAID07 model and lower partial waves are fitted. It is demonstrated that truncated partial wave analysis in a full isospin can be obtained with this procedure. The results for photon virtuality Q 2 = 0.5 GeV2 are presented. Electromagnetic Eℓ± , Mℓ± , and longitudinal Lℓ± multipoles are presented and discussed. In the first step, numerical data are generated, and the optimal number of lower partial waves required for a good data fit is determined. In the second step, the same procedure is applied using generated pseudo data.

Floating Modular Energy Islands (FMEIs) are modularized, interconnected floating structures that function together to produce, store, possibly convert and transport renewable energy. Recent technological advancements in the offshore energy sector indicate that the concept of floating offshore energy islands has the potential to become more cost-effective and more widespread than previously anticipated. This review is specifically meant as a basis for the development of new approaches to the sustainable exploitation of multi-energy sources in the offshore environment leveraging the know-how of existing technologies and, at the same time, exploring new solutions for the specific challenges of FMEIs. The paper critically analyzes the current state of data-driven approaches and structural health monitoring techniques in the offshore energy sector. It also covers topics such as met-ocean data, loads estimation, platform dynamics, coupling actions, nonlinear dynamics of mooring lines, modelling considerations, and control of electrical subsystems. It is believed that this systematic and multidisciplinary review will facilitate synergies and further enhance research and development of offshore renewable energies.