This scientific research paper examines the connection between the use of social networks and the presence of internalized and externalized behavioral disorders in children and adolescents. By using multiple regression analysis, the effects of addiction tothe Internet and social networks, time spent on the Internet and the frequency of using social networks on the problems of children and young people were investigated. The results show that predictors related to the use of social networks explain 12% of the variance of internalized behavioral disorders and 10% of externalized ones. Based on the obtained results, it can be concluded that the abuse of the Internet and social networks has a significant impact on the appearance of anxiety, depression, aggressiveness and impulsivity. The work points to the need for preventive measures and education of children, parents and teachers about the responsible use of digital technologies. Key words:social networks, internet addiction, behavioral disorders, internalized problems

The aim of the present study was to examine rapid automatized naming(RAN)abilities in primary school students and to construct percentile norms for the applied tasks. A total of 480 students participated in the study. The assessment included RANtasks with objects, numbers, letters,and colors.Results showed that with increasing chronological age, naming speed improved. Percentile norms for the applied tasks are presented separately for each grade, from the secondto fifth.Keywords:dyslexia, rapid automatized naming, children.

Maleic anhydride is a key intermediate in the chemical industry, predominantly produced through the partial oxidation of n-butane over vanadium-phosphorus-oxide (VPO) catalysts. This reaction is accompanied by side reactions that lead to the formation of undesired by-products, primarily CO and CO₂. In this work, a previously developed mathematical model of a fixed-bed tubular reactor was extended to include a catalyst activity function accounting for catalyst deactivation, and the kinetic parameters were optimized using experimental data from an industrial reactor at Koksara d.o.o. Lukavac. The model describes the partial oxidation of n-butane to maleic anhydride through multiple reactions, with reaction rates expressed as functions of temperature, partial pressures, and catalyst activity. Numerical simulations were performed using MATLAB, employing a nonlinear least-squares solver to minimize the deviation between the predicted and measured temperature profiles along the reactor. The validated model showed good agreement with experimental data, demonstrating its capability to accurately simulate reactor behavior under typical industrial conditions. Parametric studies were conducted to analyze the effects of inlet n-butane and oxygen flow rates, reaction mixture temperature, and pressure on the formation of CO and CO₂. The results indicate that by-product formation is strongly influenced by the oxygen/n-butane ratio, temperature, pressure, and the catalyst oxidation state. Higher oxygen flow rates and elevated temperatures increase CO and CO₂ formation, while lower values reduce their production. Changes in n-butane flow have a minor effect on CO₂, but more pronounced effects on CO due to the interplay between partial and complete oxidation at different catalyst sites. Increasing the inlet pressure enhances by-product formation by increasing reactant concentrations, whereas reduced pressure decreases CO and CO₂ formation. The developed model provides a practical tool for understanding and optimizing industrial maleic anhydride production. It offers insights into the effects of key process parameters on by-product formation, supporting improved reactor operation, reduced trial-and-error experimentation, and more efficient industrial process design.

This study aimed to examine the role of recruitment and selection practices in shaping employee organizational commitment in organizations operating in Bosnia and Herzegovina. The empirical research was conducted on a sample of 128 companies from different regions of the country, and the data were collected through a survey questionnaire. The dimensional structure of the research constructs was examined using multivariate statistical procedures, after which the proposed hypotheses were tested through regression analysis. The findings indicate that recruitment and selection practices have a statistically significant and positive impact on overall organizational commitment. In addition, a significant positive relationship was identified between recruitment and selection practices and affective and normative organizational commitment, while the relationship with continuance commitment, although statistically significant, was notably weaker. These results suggest that transparent, fair, and consistently implemented recruitment and selection practices contribute more strongly to employees’ emotional attachment and sense of moral obligation toward the organization than to commitment primarily driven by perceived costs of leaving. The findings are discussed in relation to existing theoretical and empirical research, emphasizing the importance of professional hiring practices for long-term employee commitment. In the specific context of Bosnia and Herzegovina, where organizations face persistent challenges related to employee retention and labor market mobility, the study emphasizes the strategic role of recruitment and selection systems as internal mechanisms for enhancing organizational commitment and fostering stable and sustainable employment relationships.

The purpose of this paper is to reflect on the CONNECT 2025 Symposium in Neum, Bosnia and Herzegovina, from the angle of a junior organizer and a lecturer. We share our journey from the Western Balkans toward academic and research paths in the EU, beginning with CONNECT in 2017 and continuing through studies, research, and PhD work in Germany. Along the way, we highlight why studying abroad matters, what it teaches beyond formal education, and how these experiences can be brought back to strengthen local communities. The contribution also summarizes two accompanying lectures on AI in Science and Gender and Science in the Western Balkans, linking personal experience with broader scientific and societal themes.

Reduplication of linguistic units at different levels is a widespread phenomenon both in Arabic in general and in the text of the Qur'an. Therefore, some of its forms, such as lexical repetition, syntactic parallelism, and reduplication at the semantic level, are frequently discussed in the literature as cohesive and text building devices. The main goal of this paper is the analysis of the forms and functions of system intrinsic forms of reduplication in Arabic, i.e. reduplication of grammatical morphemes, derivational patterns, and a specific form of root morpheme reduplication producing a unique semantic effect. The analysis is based on the analytical-descriptive method and the typological-functional approach. Although the reduplication of grammatical morphemes and derivational patterns originates from the core rules of the Arabic language system, the analysis presented in the paper shows that its usage plays a significant role in the text of the Qur'an. In addition to producing of the complex sound patterns of rhyme and rhythm, it also serves as a text-building and cohesive device, and a means of emphasis, reinforcing the content of the message by drawing attention to its form.

This research examines which organizational structure would yield the best results for the operations of a selected agro-food company. To do this, a decision-making model was developed, including six organizational structures and 19 criteria. The model was evaluated by experts using linguistic assessments. In addition, uncertainty was incorporated into this decision-making process through an intuitionistic approach. The results were obtained using the SiWeC (Simple Weight Calculation) and RAWEC (Ranking of Alternatives with Weights of Criterion) methods. The SiWeC method identified employee satisfaction and decision-making speed as the most important criteria, while the RAWEC method found that a digital organizational structure provides the best results. However, to achieve even better results in this company, it is necessary to upgrade the digital organizational structure to a network structure, leveraging the strengths of both. In this way, by forming a hybrid organizational structure, better effects would be obtained than using a single organizational structure.

The prevailing paradigm in AI for physical systems, scaling general-purpose foundation models toward universal multimodal reasoning, confronts a fundamental barrier at the control interface. Recent benchmarks show that even frontier vision-language models achieve only 50-53% accuracy on basic quantitative physics tasks, behaving as approximate guessers that preserve semantic plausibility while violating physical constraints. This input unfaithfulness is not a scaling deficiency but a structural limitation. Perception-centric architectures optimize parameter-space imitation, whereas safety-critical control demands outcome-space guarantees over executed actions. Here, we present a fundamentally different pathway toward domain-specific foundation models by introducing compact language models operating as Agentic Physical AI, in which policy optimization is driven by physics-based validation rather than perceptual inference. We train a 360-million-parameter model on synthetic reactor control scenarios, scaling the dataset from 10^3 to 10^5 examples. This induces a sharp phase transition absent in general-purpose models. Small-scale systems exhibit high-variance imitation with catastrophic tail risk, while large-scale models undergo variance collapse exceeding 500x reduction, stabilizing execution-level behavior. Despite balanced exposure to four actuation families, the model autonomously rejects approximately 70% of the training distribution and concentrates 95% of runtime execution on a single-bank strategy. Learned representations transfer across distinct physics and continuous input modalities without architectural modification.

The most effective way to ensure drinking water quality and protect public health is the implementation of a preventive, risk-based approach to water supply management. This approach encompasses all stages, from the water source to the consumer, and can be applied across all water supply systems, regardless of their size. The EU Drinking Water Directive (Directive (EU) 2020/2184) emphasizes the importance of this concept. This study assesses and analyzes the risk of groundwater contamination at the water supply sources using a commonly applied risk assessment methodology, which quantifies risk based on the likelihood and potential consequences of hazard occurrence. The methodology for defining risks involved assessing the probability and consequences of certain hazards for the water supply. Based on this, a total of 19 risks were defined, which were prioritized into 4 levels.

In this editorial, we comment on the article published by Qiu et al. Pyogenic liver abscess is a serious clinical condition requiring timely and effective intervention. Ultrasound (US)-guided techniques - whether needle aspiration (NA) or catheter drainage - are key minimally invasive treatments, especially in patients with multiple or deep-seated abscesses where conventional surgery is often impractical. The timing and choice of evacuation method significantly influence clinical outcomes. Although catheter drainage may be necessary for larger or refractory collections, NA represents a less invasive alternative that is often sufficient for smaller abscesses - particularly multiloculated ones - and can avoid multiple catheter placements. This consideration is especially important in the early phase of the disease, when the abscess collection is poorly demarcated from surrounding tissue and more prone to bleeding during or after intervention. Traditional practice delays intervention until liquefaction occurs; however, emerging evidence supports early US-guided evacuation - even in partially liquefied or non-liquefied abscesses - as both safe and effective. Early intervention, particularly via NA when feasible, is associated with faster symptom resolution, shorter hospitalization, and fewer complications. This editorial explores the role of US-guided interventions in pyogenic liver abscess manaement, emphasizing the importance of individualized, timely approaches that optimize disease outcomes while minimizing procedural risk.

This study investigated the influence of biological maturity status on anthropometric, body composition, and physical performance characteristics in elite youth male basketball players. A total of 140 players (15.12 ± 0.78 years) competing in national elite programs were categorized as early, on-time, or late maturers according to years from peak height velocity (PHV). Each participant completed a standardized testing battery including anthropometric assessments, body composition analysis (InBody 720), countermovement jump (CMJ) with and without arm swing, drop jump from 40 cm (DJ40), linear sprints over 5–20 m, and agility tests (t-test and Lane Agility). Between-group differences were analyzed using one-way ANOVA and Bonferroni post hoc tests, while partial eta squared (ηp2) and magnitude-based inference (MBI) were applied to assess effect size and practical significance. Significant differences were observed across maturity groups (p < 0.05), with early maturers being taller, heavier, and more muscular than their on-time and late-maturing peers. Large effects were found for height (ηp2 = 0.667) and body mass (ηp2 = 0.455), and moderate-to-large effects for jump, sprint, and agility performance (ηp2 = 0.051–0.166). MBI results indicated that most differences between early and late maturers were “very likely” or “almost certain,” highlighting their practical relevance. These findings confirm that biological maturity substantially affects physical and performance profiles in adolescent basketball players and underscore the importance of maturity-informed approaches such as bio-banding and individualized training to ensure fair evaluation and equitable talent development in youth sport.

Introduction: Noise is the leading cause of hearing loss worldwide. In recent years, reduced hearing ability among young people has been observed, along with an increased frequency of headphone use for sound transmission. The purpose of this study is to determine the frequency and patterns of headphone use for sound reproduction among students and to analyze their impact on the occurrence of symptoms associated with hearing loss. Methods: The cross-sectional study included students from two public universities from three public faculties in Bosnia and Herzegovina. Both qualitative and quantitative analyses were used to process the results. To test the statistical significance of the findings, the Chi-square goodness-of-fit test was applied, with the level of statistical significance set at 0.01. Results: The study sample included 246 participants and it was found that 77.6% of surveyed students use headphones for sound transmission. The longest duration of use was reported by 44.6% of participants, who had been using headphones for more than 5 years. The most common maximum daily use was up to 2 h (28.7%), while 67.5% of respondents reported using headphones every day, most often in the evening (46.4%). The Chi-square test showed statistically significant differences in the frequency of symptom occurrence following headphone use (χ2(6) = 55.466, p < 0.001). The most frequently reported symptoms were tinnitus (28.3%), a sensation of fullness and ear pressure (17.8%), and ear pain (16.2%). Conclusion: The results indicate a high prevalence of headphone use among students, with many reporting daily use over several years. The analysis showed a statistically significant association between headphone use and the occurrence of hearing-related symptoms, suggesting a potential threat to the auditory health of young people. These findings highlight the need to educate youth on the safe use of headphones.

Background/Objectives: Beyond respiratory problems, COVID-19 can cause a variety of symptoms, such as neurological disorders caused by biological and psychological factors. Brain fog (BF), a post-illness cognitive impairment that many patients report, can be evaluated with reaction time (RT) testing. Response latency is measured by RT, which can be either simple (sRT) or complex (cRT). This study focuses on how COVID-19 affects cognitive function, with particular attention on RT changes, BF prevalence, and implications for daily life. Methods: The study included 599 participants from Bosnia and Herzegovina, Croatia and Serbia. RT was measured using PsyToolkit and participants completed a COVID-19-associated BF questionnaire. Participants who experienced BF after their latest COVID-19 infection rated its severity using a visual analogue scale (VAS). Additional clinical data were obtained from medical records. Results: BF was reported by 40% of participants post-COVID-19. Men reported it less frequently but found it more disruptive. RT progressively declined post-infection, reaching peak impairment at 15 weeks, following recovery, with RT normalizing by six months. Conclusions: COVID-19 is linked to temporary RT impairment, peaking at 15 weeks post-infection and resolving by six months, independent of BF presence. This study emphasizes the need for a biopsychosocial approach to BF management. Easily available RT assessments should be incorporated into routine clinical practice.