The electromagnetic coupling phase at the complex resonance pole is a fundamental property of nucleon excitations. However, its extraction from pion photoproduction data remains model-dependent, particularly for the Δ(1232) resonance, where modern multichannel analyses report helicity amplitude phases ranging from +3° to −18°. In this Letter, we present a largely model-independent geometric S-matrix formalism that provides a physical constraint for this ambiguity. By imposing Watson’s final-state interaction theorem, a direct consequence of S-matrix unitarity and time-reversal symmetry, on the real energy axis and performing an analytic continuation, we isolate the kinematic threshold barriers of the photoproduction (k·q) and elastic (q3) amplitudes. For the dominant M1+ multipole transition of the Δ(1232), our method yields a kinematically constrained prediction of ϕEM=−8.5°−1.0°+0.6° for the electromagnetic residue phase. This geometric constraint explains the numerical results of coupled-channel phenomenological fits, validating the extractions by the SAID and Bonn–Gatchina groups, and establishes a theoretical benchmark for evaluating resonance properties.

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.

We study conditions under which stability of the origin of stochastic differential equations is robust to small perturbations. We express robustness in two ways, firstly in the sense that stochastic stability is maintained under small parametric perturbations not exceeding a state-dependent bound vanishing at the origin but positive elsewhere, and secondly via stochastic input-to-state stability (ISS) which allows non-zero perturbations everywhere. We prove the former property assuming the existence of a Lyapunov function certifying stochastic stability of the nominal system. Under the same assumption, stochastic ISS holds under a suitable state-dependent perturbation scaling. Stochastic exponential stability is maintained under proportionally bounded perturbations and implies exponential ISS even without perturbation scaling. Finally, we propose a novel approach to stochastic integrator backstepping in pure-feedback form that uses the tools from our robustness analysis.

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.