Svako ko je radio pod mentorskom rukom prof. Ugljena, od projektantskog tima A4 na čelu s dugogodišnjim saradnikom, uvaženim arhitektom Brankom Tadićem, pa do kolone generacija studenata koji su prošli kroz čuvena institutska vrata pod brojem 345, upoznao je šta znači zahtjevnost arhitektonske profesije. Kad se spoje jedinstvena autorska vizija, visoki projektantski kriteriji i nemogući rokovi, onda noću svijetle institutski uredi... Strpljivo i s velikom dozom respekta prate tako snažnu stvaralačku ličnost koja mnoštvo svojih djela kreira u duhu Gesamkunstwerka – totalnog dizajna. Do krajnosti je profesor posvećen detaljima, bez obzira na to da li kreira svijećnjak, zdjelu ili ručku na vratima. Ništa ne prepušta slučaju i sve mora biti potčinjeno jedinstvenoj umjetničkoj naraciji. Svestrani interes i iskonsku mladalačku radoznalost iskazuje još u studentskim danima, čemu svjedoče zadnje stranice antologijske knjige Arhitektura Bosne i put u savremeno. Prof. Neidhardt izdvaja raznolike projekte talentiranog učenika Zlatka Ugljena: od uređenja prodavnice, dizajna stolice, skice bosanske seljanke u narodnoj nošnji do makete savremenog enterijera inspiriranog tradicionalnim elementima. 

Purpose: To review the potential relationship between vitamin B12 and colorectal cancer, with particular emphasis on its involvement in one-carbon metabolism and epigenetic regulation.Methods: This narrative review summarises current evidence on the biological mechanisms and epidemiological associations linking vitamin B12 status with colorectal cancer risk.Results: Available evidence indicates a biologically plausible but epidemiologically inconsistent relationship between vitamin B12 and colorectal cancer. Studies assessing dietary intake frequently report an inverse association, particularly for rectal cancer, whereas analyses of circulating vitamin B12 concentrations yield heterogeneous, and often conflicting findings.Conclusion: Vitamin B12 does not act as an isolated protective factor but as part of a complex metabolic and nutritional system. Although its potential protective role in colorectal carcinogenesis is biologically based, it remains insufficiently confirmed, emphasising the need for further integrated research.

Acidic wastewater generated during sulfuric acid leaching of reduced tionite within the EUROTITAN process was treated using three low-cost adsorbents: fly ash, bentonite, and red mud slag. Tionite is a solid residue originating from the sulfate route of TiO2 production, whereas the investigated wastewater is a secondary acidic stream produced during hydrometallurgical treatment of reduced tionite. The initial wastewater was characterized by low pH and elevated concentrations of Fe, Al, Ti, B, Cu, Mn, Pb, Cr, and Li. Batch adsorption experiments were carried out by varying contact time from 4 to 24 h and adsorbent dosage from 5 to 15 g/L. The results showed distinct selectivity depending on adsorbent type and solution chemistry. Bentonite exhibited the most stable performance, achieving nearly complete removal of Pb, Cu, B, and Li, while Fe and Al were only partially removed and Ti removal remained limited. Fly ash showed high affinity toward Pb and Cu, but its performance was strongly affected by dosage and contact time. Red mud slag demonstrated excellent Pb removal, high Cu removal, and time- and dosage-dependent Ti removal, although partial dissolution of Fe- and Al-bearing phases occurred under strongly acidic conditions. Overall, the results confirm that industrial by-products and natural clay materials can contribute to partial purification of acidic metallurgical wastewater, while additional neutralization or polishing steps are required for complete treatment.

Inertial motion sensing plays an important role in real-time human–machine interaction applications, including interactive systems, virtual environments, and motion-controlled interfaces, where low latency and accurate motion tracking are important. This paper presents the design and implementation of an embedded inertial sensing system that acquires, processes, and transmits motion data from consumer-grade inertial measurement units (IMUs) under real-time constraints. Rather than introducing a new sensor fusion algorithm, the contribution lies in a systems-oriented methodology comprising a predictive clock-advancement mechanism that prevents cumulative timing drift, an automated matrix-based calibration procedure for hardware-agnostic deployment, and a benchmarking framework for end-to-end real-time system evaluation. Implemented on a resource-constrained embedded platform, the framework integrates sensor acquisition, lightweight filtering, sensor fusion, and real-time orientation estimation within a single processing pipeline. Motion data are transmitted using the CemuHook UDP (User Datagram Protocol) motion protocol (DSU) to demonstrate interoperability with existing motion-control software while maintaining low end-to-end latency and stable throughput. Experimental results show stable sampling frequency, low communication latency, accurate orientation estimation, and low computational overhead. The presented system provides an embedded inertial sensing framework that can be adapted to a range of real-time motion-sensing applications beyond the communication protocol used for demonstration.

One of the most often used welding processes for unalloyed structural steels is MAG, which is relatively simple, yet achieving high deposition rates. On the other side, there are standards describing weld quality based on weld geometry. This paper describes influence of heat input on weld geometry for MAG fillet welds of unalloyed steel with thicknesses of 8 mm, in horizontal and overhead position. Independently varied parameters were welding current and speed. Influence is described through models based on linear regression analysis. Comparison is made between models developed for different positions, as well as with those available in literature.

BACKGROUND The optimal management of isolated posterior cerebral artery occlusion (iPCAO) remains unclear. We investigated whether baseline perfusion imaging parameters are associated with clinical outcomes and whether they modify the association between endovascular therapy (EVT) and outcomes in iPCAO. METHODS This prespecified secondary analysis of the international, multicenter, observational PLATO (Posterior Cerebral Artery Occlusion) registry (35 centers, 10 countries, 2015-2025) included consecutive adults with unilateral iPCAO and baseline perfusion imaging (computed tomography or magnetic resonance imaging) with reconstructed parameters. Primary end point was an excellent 90-day outcome (modified Rankin Scale score, 0-1). Perfusion parameters included hypoperfusion volume, infarct core volume, and mismatch ratio. The primary analysis used multivariable mixed-effects regression models (center as random effect) to assess associations between perfusion parameters and outcomes, adjusting for age, sex, treatment year, prestroke modified Rankin Scale score, baseline National Institutes of Health Stroke Scale score, diabetes, stroke cause, posterior circulation Acute Stroke Prognosis Early Computed Tomography Score, occlusion site, intravenous thrombolysis, and onset-to-door time. To test whether the association between EVT and outcomes varies according to baseline perfusion parameters, we evaluated treatment-by-perfusion interactions by including interaction terms (treatment×perfusion parameter) in inverse probability of treatment weighting-adjusted models, with results expressed as ratios of odds ratios (ORs). RESULTS Of 1811 patients with iPCAO, 443 met inclusion criteria (median age, 74 years; 41.8% female). Larger hypoperfusion volume was associated with lower odds of excellent outcome (adjusted OR, 0.72 [95% CI, 0.58-0.89] per 1-unit increase in natural logarithm-transformed volume). No interaction between perfusion parameters and EVT was observed for the primary outcome. However, increasing core volume was associated with a progressively less favorable modified Rankin Scale score shift (ratio of OR, 0.66 [95% CI, 0.48-0.90]; Pinteraction=0.009) and higher mortality (ratio of OR, 1.82 [95% CI, 1.10-3.03]; Pinteraction=0.021) with EVT compared with medical management. Increasing hypoperfusion volume was associated with a higher risk of symptomatic intracranial hemorrhage with EVT (ratio of OR, 10.15 [95% CI, 1.06-96.93]; Pinteraction=0.044). CONCLUSIONS In iPCAO, perfusion imaging provides independent prognostic information but does not identify patients with potential benefit from EVT and may instead indicate those at higher procedural risk. REGISTRATION URL: https://osf.io/62mwt; Unique identifier: XXXX.

This thesis addresses the challenge of supporting novice programmers in the GenAI era without undermining fundamental skill acquisition. Using digital activity logs, self-reported characteristics, and GenAI usage patterns from an introductory programming course, it develops models that capture student learning behaviors. These models are then used to create personalized AI-based intervention strategies that guide students toward independent problem-solving.

Introductory programming courses remain challenging for many students, which motivates educators to adopt gamification to enhance engagement and learning. More recent work explores adaptive gamification, where game elements and task flow are tailored to individual learners. A key requirement for such adaptation is the ability to predict student success on upcoming tasks. Using a dataset of task attempts collected from a gamified introductory programming activity, we examine the predictive value of coarse-grained knowledge components, task difficulty, and dynamic student performance features. The results show that behavioral signals are substantially more informative than task properties: a student's prior success history and their position within a lesson sequence are the strongest predictors of future correctness. Although advanced topics such as file handling and structures are associated with increased failure rates, their impact is secondary to students' evolving engagement patterns. These findings highlight the role of momentum and practice effects in gamified programming environments and suggest that adaptive systems should prioritize real-time learner progression when providing instructional support. Dataset and the code for our experiments is available at https://osf.io/cajby.

Multimodal emotion and sentiment recognition is commonly addressed by early fusion, which concatenates modalities before classification, or late fusion, which combines independently trained unimodal predictors. Early fusion can be accurate but monolithic, while late fusion is modular but may lose cross-modal interactions. This paper revisits XAI-guided adaptive fusion (\xgaf), a tree-based mixture of unimodal and cross-modal experts whose sample-level weights are derived from TreeSHAP attribution magnitudes. We focus on the effect of SHAP attribution reduction when experts have unequal feature dimensionalities. In this setting, mean-abs and median-abs reductions can suppress high-dimensional cross-modal experts, whereas sum-abs reduction preserves total attribution mass. On MELD 7-class emotion recognition, sum-abs \xgaf{} nearly matches early fusion across three face-sequence aggregators; the Transformer variant reaches 0.5983 \wf{}, compared with 0.6018 for early fusion and 0.4598 for probability-average late fusion. McNemar testing shows no significant difference between sum-abs \xgaf{} and early fusion on MELD ($p=1.000$), while \xgaf{} remains significantly better than late fusion ($p<0.0001$). On CMU-MOSEI 3-class sentiment recognition, sum-abs \xgaf{} reaches 0.6519 \wf{}, slightly exceeding early fusion (0.6485) and late fusion (0.5696). Ablation studies show that the main gain comes from adding cross-modal experts, especially the trimodal expert, rather than from complex per-sample routing. Diagnostics further show that mean-abs and median-abs weights are nearly uniform, while sum-abs weights concentrate on the trimodal expert. Thus, the main contribution is a transparent empirical analysis of how SHAP reduction, expert dimensionality, and cross-modal expert design affect modular multimodal fusion.

AIM To examine the association between parental and child body mass index (BMI), and parental perceptions of their own and their child's weight in relation to measured BMI. METHODS This cross-sectional study included 1,343 children aged 3-6 years and 1,343 parents from primary healthcare centres and preschool institutions in Sarajevo. Data on sociodemographic characteristics, parental weight perceptions, and anthropometric parameters were collected using a questionnaire. BMI was calculated according to the National Centre for Chronic Disease Prevention and Health Promotion recommendations. RESULTS The mean parental BMI was 25.1 ± 3.8. Overall, 460 (34.25%) parents were overweight and 140 (10.43%) were obese. Among children, 171 (12.7%) were underweight, 790 (58.8%) had normal weight, 159 (11.9%) were overweight, and 223 (16.6%) were obese. Higher parental BMI was associated with lower relative risk of underweight (RRR=0.94; 95%CI = 0.89-0.99; p = 0.021), slightly higher risk of overweight (RRR = 1.04; 95%CI = 1.00-1.09; p = 0.047), and higher risk of obesity (RRR = 1.09; 95% CI = 1.04-1.13; p < 0.001). Parental perception of child weight status differed significantly from measured BMI (p < 0.001), with very low sensitivity for child overweight and obesity of 10.5% (95%CI 7.8 - 13.9) and specificity of 99.2% (95% CI 98.4-99.6). Among parents, 100 overweight and 105 obese individuals perceived themselves as normal weight. CONCLUSION Parental BMI was positively associated with child BMI. Misperception of parent and child weight was common, supporting improved awareness and targeted prevention.

AIM To determine the prevalence and microbiological profile of ventilator-associated pneumonia (VAP) in mechanically ventilated patients and to assess clinical and laboratory parameters associated with its development, with emphasis on C-reactive protein (CRP) levels and duration of mechanical ventilation. METHODS This single-centre prospective observational cohort study included 118 adult patients who required invasive mechanical ventilation for more than 48 hours in the intensive care unit of the University Clinical Centre Tuzla. Patients were classified into VAP and non-VAP groups. Demographic, clinical, laboratory, and microbiological data were collected, and in-hospital outcomes were recorded. Statistical analysis included between-group comparisons, univariate logistic regression, and receiver operating characteristic (ROC) curve analysis. RESULTS VAP was diagnosed in 41 patients (34.7%). Gram-negative pathogens predominated (≈ 85%), with Acinetobacter baumannii identified most frequently (43.9%), followed by Pseudomonas aeruginosa and Klebsiella pneumoniae. Patients with VAP had significantly longer durations of mechanical ventilation (12.5 vs. 7.3 days, p < 0.001) and hospitalisation (19.6 vs. 12.2 days, p < 0.001), as well as higher CRP levels (178.2 vs. 126.4 mg/L, p < 0.001). Reintubation, elevated CRP, leukocytosis, hypercapnia, and prolonged mechanical ventilation were associated with VAP. CRP demonstrated good-to-moderate discriminative ability for VAP (AUC = 0.83). CONCLUSION VAP remains a common and clinically significant complication in mechanically ventilated patients. Elevated CRP levels and prolonged mechanical ventilation may support early clinical suspicion using routinely available parameters.

AIM To evaluate whether single and two-month average intradialytic blood pressure (BP) measurements, including systolic blood pressure (SBP) and diastolic blood pressure (DBP), are associated with left ventricular mass index (LVMI), and whether intradialytic BP thresholds discriminate left ventricular hypertrophy (LVH) in patients with end-stage renal disease on haemodialysis. METHODS This prospective observational study was conducted at the Dialysis Centre in Doboj between June and September 2017 and included 97 adults on chronic haemodialysis for at least five months. Intradialytic BP was assessed as a single measurement and as a two-month average. LVMI and LVH were evaluated by echocardiography. Multivariable regression examined associations with LVMI after adjustment for age, haemoglobin, and volume overload, while receiver operating characteristic (ROC) curve analysis assessed LVH discrimination. RESULTS Median dialysis duration was 3.9 years, and 24 patients (25%) had ischemic heart disease. Median LVMI was 117.5 g/m2, and LVH was present in 44 patients (45%). After adjustment for relevant covariates, single intradialytic SBP and DBP measurements were not associated with LVMI. In contrast, two-month average SBP (B = 0.5364, p = 0.0075) and DBP (B = 0.7308, p = 0.0299) remained independently associated with LVMI. Two-month average SBP showed moderate LVH discrimination (area under the curve (AUC) 0.711; p = 0.0001), with an exploratory cut-off of >143 mmHg. CONCLUSION Two-month average intradialytic SBP was independently associated with higher LVMI and showed moderate discrimination for LVH but requires external validation.

We investigate the asymptotic behavior of the solutions of the evolutionary version of the food-limited equation dxdt=xrK−xK+Crx where r, growth rate, K, carrying capacity, and 1C, the rate of replacement of a species at saturation, are positive. We assume that growth rate r and the carrying capacity K are functions of some trait that evolve over time. Using previously established methodologies, we investigate the effects of parameters dependent on a trait evolving over time with respect to a trait and describe the global behavior of the solutions and give biological interpretations. Additionally, we give simulations of particular examples with biological relevance.

This research paper investigates the sustainable revitalization of national monuments in the Federation of Bosnia and Herzegovina employing advanced restoration methodologies that integrate energy efficiency, cultural authenticity, and material sustainability. Utilizing the ETH Zurich retrofit framework, aligned with the European Green Deal and EU Energy Efficiency Directives, a context-specific methodological approach is developed.The study conducts spatial geodatabase analysis and comparative scenario modeling Business as Usual (BAU) versus Green Certified Retrofit (GCR) across case studies comprising three national monuments in Bosnia and Herzegovina. The retrofit strategy emphasizes reversible, minimally invasive interior insulation with vapor-permeable, bio-based materials (wood fiber, lime plaster), ensuring heritage conservation compliance. Results indicate that GCR scenarios significantly reduce energy consumption, CO₂ emissions, and life-cycle costs, while maintaining historic and architectural integrity. This research proposes a replicable model integrating geospatial tools and sustainable retrofit techniques to advance climate-adaptive cultural heritage management in the Western Balkans and comparable regions.