Objective This study aimed to evaluate the functional status of the urethra using uroflowmetry before surgery, as well as three and six months postoperatively in cases of distal hypospadias. Material and Methods Thirty-nine consecutive patients who underwent surgery for distal hypospadias (hypospadias group) between 2016 and 2019 were prospectively included as part of this study. The control group consisted of 40 patients with a normal urethra who underwent surgery due to conditions other than hypospadias (phimosis, undescended testis, hernia). Uroflowmetry was performed preoperatively in these patients. Postoperative uroflowmetry was performed at three and six months following hypospadias surgery. Uroflowmetric results [maximum flow rate (Qmax), average flow rate (Qave), voided volume, void duration, flow start time, time to maximum urine flow rate, post-void residual urine, flow curve] were compared between the groups. Results The mean age for the patients with distal hypospadias was 35.9±29.6 months and 40.8±26.1 months for the control group. Pre- and postoperative Qmax values (three and six months after surgery) were 6.9 mL/s (0.1-15), 6.4 (0.2-14), and 7.5 (2.5-15). Qave values were preoperatively 4.0 (0.1-12.1), 3.8 (0.3-8.1), and 4.7 (1.0-11.1) mL/s three and six months after surgery, respectively. Bell-type flow was the most frequent uroflow flow curve in the preoperative hypospadias and control groups (95% and 66.6%, respectively). Postoperatively, bell-type flow remained the most common pattern, while a significant reduction in plateau-type flow was observed. Four boys (10.3%) had symptoms of obstruction. Conclusion Surgery improved urination dynamics and partial urethral obstruction of hypospadias cases that were present from the baseline. The urinary flow rates improve over time as the reconstructed neourethra regains functionality six months after the tubularized incised plate procedure.

This study aimed to examine position-specific physical demands among elite U19 football players competing in a 4-3-3 formation, using data collected via STATSports GPS technology. A total of 23 players from a top-tier Bosnian club, FK “Sarajevo”, were monitored during 26 official matches in the 2024/2025 season. Match data included total distance, distance in six speed zones, high-speed running (HSR), sprint distance, number of sprints, maximum speed, and acceleration/deceleration events. One-way ANOVA and Bonferroni post hoc analyses revealed significant positional differences across all performance metrics (p < 0.05). Central midfielders (CMs) covered the greatest total distance and distance per minute, while side defenders (SD) and forwards (FWs) recorded the highest values in sprint distance, HSR, and sprint frequency. Central defenders (CDs) consistently demonstrated the lowest outputs in high-speed and sprint metrics. These findings highlight the distinct physical profiles required for each playing position in a 4-3-3 system and provide practical insights for designing position-specific training and load management strategies in elite youth football.

Acute mesenteric ischemia (AMI) is a life-threatening condition characterised by oxidative stress, inflammation, apoptosis, and necrosis of intestinal epithelial cells. Different drugs with vasoactive, antioxidant, and anti-inflammatory properties have been used to treat AMI. Levosimendan is a drug with proven anti-ischemic effects used in the management of acute congestive heart failure. This study evaluated the protective effects of levosimendan pretreatment on intestinal, as well as lung, heart, and kidney tissue in a rat model of mesenteric artery ischemia/reperfusion (I/R) injury. Male Wistar rats (N = 24) were divided into four groups: control, I/R, levosimendan (LS) 1 mg/kg i.p, and LS + I/R (1 mg/kg i.p. 30 min before injury). I/R by itself caused elevation of oxidative markers (thyobarbituric acid reactive species (TBARS), hydrogen peroxide (H2O2), super oxide anjon radical (O2−), and nitrogen dioxide (NO2−)), induced inflammation (macrophage infiltration and Interleukin-6 (IL-6) production), and apoptosis (nuclear factor kappa light-chain enhancer of activated B cells (NF-κB), cleaved caspase-3 (CC3), and terminal deoxy-nucleotidyl transferase (TdT)-mediated dUTP nick end labelling (TUNEL)). Levosimendan pretreatment significantly reduced oxidative stress markers and enhanced antioxidant defences (catalase (CAT), reduced glutathione (GSH), and superoxide dismutase (SOD)). Histological analysis revealed reduced mucosal damage and preserved goblet cells in intestinal tissue. Similar protective effects of levosimendan were observed in other organs such as lung, heart, and kidney. Immunohistochemistry showed reduced epithelial apoptosis and upregulation of antioxidant and anti-inflammatory proteins. These findings highlight levosimendan’s ability to protect mesenteric I/R tissue injury and multi-organ damage by suppressing oxidative stress, inflammation, and apoptosis, emphasising its therapeutic potential in clinical settings.

The scarcity of high-quality wood encouraged the development of various technological processes for joining wood. The finger joint is one of the most widespread technological processes for wood joining. This study aimed to determine the effect of steaming and heat modification of beech wood, as well as the type of adhesive, on the mechanical characteristics of finger joints. Samples made from un-modified beech, steamed-treated, and heat-treated beech wood were bonded with polyvinyl acetate (PVAC), non-structural, and structural polyurethane (PUR) adhesives. Compressive tests on wood materials were used to evaluate their mechanical performance. The finger joint samples were tested for their bending performance. Modulus of rupture, modulus of elasticity, and compressive strength were calculated. An analysis of variance (ANOVA) was conducted to evaluate the impact of wood modification type and adhesive used on the mechanical characteristics of the finger joints. According to the results of this study, it can be concluded that the steaming process does not influence changes in the mechanical characteristics of the finger joints. Heat treatment of beech and the type of adhesive used significantly influence the tested mechanical characteristics of the finger joints and beech wood. Heat-treated beech had lower values of modulus of rupture (70 MPa) and density (690 kg/m3) and higher values of compression strength (59 MPa) in relation to un-modified (780 kg/m3) and steamed-treated (800 kg/m3) beech wood.

Objectives This study aimed to investigate the associations between body mass index (BMI), physical activity levels (PALs) and sociodemographic factors (gender, age, education and marital status) with different outcomes (symptoms) of osteoarthritis (OA) severity, in patients with knee OA. Design Cross-sectional study. Participants The sample included 200 participants from southern Bosnia and Herzegovina (61 males, 65.1±9.01 years of age) who had been diagnosed with primary knee OA. Outcome measures OA symptoms as evidenced by the Western Ontario and McMaster Universities OA Index (WOMAC) scale, including three subscores (WOMAC-pain, WOMAC-stiffness, WOMAC-functionality) and total WOMAC score. The predictors included age (in years), gender (male or female), BMI, PAL, education level, urban/rural living environment and marital status (partnership). Results Female gender was correlated with the WOMAC-pain, WOMAC-stiffness and WOMAC-total. Older age was correlated with the WOMAC-pain and WOMAC-total. Patients who were better educated and reported higher PAL had better WOMAC functionality. BMI was the most significant factor of influence, with higher WOMAC-pain (OR 1.44, 95% CI 1.27 to 1.65), WOMAC-stiffness (OR 1.20, 95% CI 1.1 to −1.33), WOMAC-functionality (OR 1.26, 95% CI 1.13 to 1.40) and WOMAC-total (OR 1.29, 95% CI 1.6 to −1.44) scores in patients with higher BMI. Conclusions Results indicate the necessity of controlling body weight in patients with diagnosed knee OA irrespective of gender. Further prospective studies are warranted in order to establish causality between variables.

Introduction: It is suggested that bladder cancer (BC) development is linked to glutathione S-transferase (GST) enzymes. This study aimed to determine the correlation between glutathione S-transferase Mu 1 (GSTM1), glutathione S-transferase Theta 1 (GSTT1), and N-acetyltransferase 2 (NAT2) variants with BC progression and recurrence rating. Materials and methods: This study included 105 Bosnian and Herzegovinian subjects: 60 patients with histopathologically confirmed BC and 45 controls without urological diseases. GSTM1, GSTT1 (rs36631 and rs17856199, respectively), and NAT2 (rs1799929, rs1799930, and rs1799931) were investigated. Results: Both one- and five-year probabilities of progression were not significantly different in GSTM1 and NAT2 polymorphisms. One-year probability of progression was significantly higher in the GSTT1 T-- (null) than the T++ (wildtype) genotype (14.7% (±6.9) vs. 8.9% (±6.7), respectively; p=0.048). Five-year probability of progression was significantly higher in the GSTT1 T-- than the T++ genotype (39.4% (±14.7) vs. 25.5% (±16.6), respectively; p=0.045). THE GSTT1 T-- genotype was an independent predictor in the one-year probability of recurrence and progression (p=0.03 and p=0.01, respectively). GSTT1 T-- genotype and age were independent predictors for the five-year probability of recurrence (p=0.032 and p=0.04, respectively) as well as independent predictors of the five-year probability of progression (p=0.012 and p=0.03, respectively). Conclusions: The GSTT1 T-- genotype was an independent predictor in the one- and five-year probabilities of both recurrence and progression of BC. GSTT1 rs17856199 may be a significant factor in the development of tumors and the course of disease in Bosnian and Herzegovinian BC patients.

Background/Objectives: In many low- and middle-income countries (LMICs), including Bosnia and Herzegovina, oncology services are constrained by a limited number of specialists and uneven access to evidence-based care. Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, may provide clinical decision support to help standardize treatment and assist clinicians where oncology expertise is scarce. This study aimed to evaluate the concordance, safety, and clinical appropriateness of ChatGPT-generated treatment recommendations compared to decisions made by a multidisciplinary team (MDT) in the management of newly diagnosed breast cancer patients. Methods: This retrospective study included 91 patients with newly diagnosed, treatment-naïve breast cancer, presented to an MDT in Bosnia and Herzegovina in 2023. Patient data were entered into ChatGPT-4.0 to generate treatment recommendations. Four board-certified oncologists, two internal and two external, evaluated ChatGPT’s suggestions against MDT decisions using a 4-point Likert scale. Agreement was analyzed using descriptive statistics, Cronbach’s alpha, and Fleiss’ kappa. Results: The mean agreement score between ChatGPT and MDT decisions was 3.31 (SD = 0.10), with high consistency across oncologist ratings (Cronbach’s alpha = 0.86). Fleiss’ kappa indicated moderate inter-rater reliability (κ = 0.31, p < 0.001). Higher agreement was observed in patients with hormone receptor-negative tumors and those treated with standard chemotherapy regimens. Lower agreement occurred in cases requiring individualized decisions, such as low-grade tumors or uncertain indications for surgery or endocrine therapy. Conclusions: ChatGPT showed high concordance with MDT treatment plans, especially in standardized clinical scenarios. In resource-limited settings, AI tools may support oncology decision-making and help bridge gaps in clinical expertise. However, careful validation and expert oversight remain essential for safe and effective use in practice.

Abstract Introduction. Physical literacy (PL) and health literacy (HL) are important concepts that are theoretically associated with physical activity (PA), but studies have rarely examined these problems simultaneously in older adults, particularly women. The aim of this study was to evaluate the associations between HL and PL with PA in women older than 60 years from Croatia. Material and methods. The participants were 49 women from an urban center in southern Croatia who were tested on HL (via the validated Croatian version of the European Health Literacy Survey Questionnaire), PL (via the Perceived Physical Literacy Questionnaire for South Eastern Europe), and PA (via the Nordic Physical Activity Questionnaire – short version) in controlled settings. Different facets of PL and HL were univariately and multivariately correlated with weekly moderate-to-vigorous PA (MVPA) and weekly vigorous PA (VPA). Results. Almost 39% of the participants reached the World Health Organization recommendations for weekly PA. The PL variables were not significantly correlated with MVPA, nor with VPA (up to 6% of the common variance). The HL was significantly (p < 0.05) correlated with VPA across several subdomains (9% to 20% of the common variance). Multiple regression analysis revealed a significant multivariate association between HL subdomains and VPA (27% of the explained variance), indicating a positive influence of the higher HL on PA in older women. Conclusions. Promoting HL in older women can enhance PA by improving their understanding of the health risks and benefits of PA. Educational efforts should focus not only on providing information but also on helping women interpret and apply it in meaningful, everyday contexts.

Although numerous studies have explored the electric vehicles (EVs) adoption, the theory of reasoned action (TRA) is underutilized, while the role of consumer innovativeness in predicting purchase intent and behavior remains unclear. This study focuses on the interplay among attitude towards EVs, subjective norm, consumer innovativeness, purchase intention and actual behavior. A structured survey was applied in 2024 to collect data, and a sample composed of 212 respondents from the United Arab Emirates was properly balanced across various characteristics. TRA was extended using the consumer innovativeness construct, which resulted in a new hypothetical model. Once evidence was provided for both validity and reliability of the measures, the hypotheses were tested. Structural equation modelling (SEM) results show that subjective norm does not have significant direct effects on purchase intention, while the consumer innovativeness affects attitude towards EVs. While both attitude towards EVs and consumer innovativeness appear to be direct predictors of purchase intention, attitude towards EVs played a significant mediating role in a relationship between consumer innovativeness and purchase intention. The results of logistics regression revealed that purchase intention directly affects purchase behavior. The paper contributes to significant theoretical and practical implications, which are further discussed.

Simple Summary Climate change is becoming a serious threat to animal farming, making it important to find animals that can cope well with high and low temperatures. This study focused on two strains of indigenous Pramenka sheep from Bosnia and Herzegovina to determine how they respond to heat and cold. Researchers looked at the activity of specific genes that help animals deal with temperature stress using blood samples from 96 sheep collected in summer and winter across different regions. The results showed that one strain, Hercegovačka sheep, had much higher activity of a gene that protects cells from heat damage, especially during hot weather. Both strains showed strong abilities to control inflammation and protect themselves from harmful effects caused by heat, which helps them stay healthy in challenging climates. This study concluded that Hercegovačka sheep have better natural protection against temperature changes, but both strains have useful traits for surviving in a changing climate. These results can help farmers and scientists choose and protect sheep breeds that are more likely to thrive as weather conditions become more extreme, ensuring food production and supporting rural communities in the future.

Abstract This study employs EEG and eye-tracking to assess how brand equity, creative complexity, and spatial layout influence implicit consumer responses to point-of-sale (POS) beer advertisements. Through the theoretical lens of predictive coding and processing fluency, laboratory testing with Serbian beer consumers (N = 20) revealed that simpler designs yielded superior attention performance across TFD and TTFF (d up to 2.62), independent of brand strength. Spatial repositioning reduced packshot detection time by 0.89s (p<0.001, d=1.78) in horizontal versus vertical layouts. EEG showed no significant brand differences (valence d=0.07, p=0.765), offering a theoretical interpretation consistent with predictive coding, wherein expected stimuli elicit reduced neural activation, with brand strength operating solely through attentional pathways. Eye-tracking revealed strong brands’ automatic attentional capture of iconic elements (e.g., letter ‘J’; TTFF=0.47s), theoretically reconciled via processing fluency as effortless decoding. We derive actionable POS benchmarks: packshot detection < 0.5s, slogan engagement > 1.0s, emotional valence > 5.0, cognitive load < 5.0. This advances GDPR/NDA-compliant methodology while offering practical guidelines grounded in neurocognitive theory.

A Boolean-algebraic framework for maximal-degree U-k-seminets is presented, unifying combinatorial and algebraic properties. This work extends Aczel’s quasigroup theory and Belousov’s k-net constructions by introducing a computational framework for U-k-seminets of maximal degree µ. Key results include: (1) explicit bounds for µ in terms of set cardinality t and t-order d (µ = t−d+2), (2) existence conditions for nonequipotent sets, and (3) inequalities governing µ and t ((t+2)/2 < µ ≤ t). Theorems are validated via tabulated solutions for m = t−d, demonstrating scalable applications in finite geometry and network design. The framework bridges partial quasigroups and block designs, offering algorithmic tools for seminets with maximal degree constraints.