Stroke prediction plays an important role in healthcare, as it allows for the potential implementation of early measures and intervention. The Kaggle stroke dataset was used and compared between deep learning (DL) and traditional machine learning (ML) models. Preprocessing steps include imputation to the missing BMI values, one hot and label encoding, and z-score normalization, all applied before a stratified 5-fold cross validation with confidence intervals for the split. SMOTE was then applied exclusively to the training set to address class imbalance (~95% non-stroke). Eight classifiers were compared against each other which included five ML models: Random Forest (RF), Logistic Regression (LR), K-nearest Neighbor (KNN), Support Vector Machine (SVM), Decision Tree (DT) and three DL architectures: Multi-Layer Perceptron (MLP), Convolutional Neural Network (CNN) and Artificial Neural Network (ANN). Due to the severe class imbalance in the dataset, F1-score was adopted as the primary evaluation metric, as it balances precision, recall and better reflects the model ability to correctly identify the minority stroke class. The most successful models were LR (30% F1-Score, 88% Accuracy) and MLP (28% F1-Score, 84% Accuracy). This suggests that for this dataset, classical ML models may offer competitive performance compared to deep learning on structured tabular data.

Apstrakt: Sumarni popis sandžaka Bosna iz 1468/69. godine preveo je prof. dr. Ahmed Aličić, jedan od najeminentnijih bosanskohercegovačkih filologa i poznavalaca historije Bosne pod osmanskom vlašću. Profesor Aličić je prijevodom ovog deftera zadužio bosanskohercegovačku historijsku nauku iz više razloga, ne samo zbog odličnog prijevoda, nego i zbog toga što je kao vrstan stručnjak historije Bosne pod osmanskom vlašću riješio mnoge dileme i nedoumice koje su bile prisutne u bosanskohercegovačkoj historiografiji, te je izvršio ispravnu ubikaciju mnogih mjesta koja se pominju u defteru. Nazivi većine naselja su se sačuvali pod istim ili malo izmijenjenim nazivom, dok su nazivi pojedinih mjesta iščezli tokom vremena. Ključne riječi: popis; Bosna; izvor, naselja, vjera, privreda, stanovništvo

Conversational commerce agents that personalize assistance based on a user’s transactional state (cart contents, checkout progress, order completion) must model that state correctly, or downstream adaptive behavior will be misaligned with the user’s actual journey. We call mismatches between an agent’s claims and the observable event history journey hallucinations, and study a lightweight verification framework that reconstructs a minimal transactional user model from execution logs and checks agent claims against deterministic invariants. On 90 real sessions across four foundation models, trace-aware prompting reaches 99.5–100% user-state accuracy at 84–99% coverage, while unconstrained prompting produces unsupported state assertions at rates up to 8.5%. In a between-subjects user study (N = 42), verified responses were judged more trustworthy (p =.008, r =.43), better at reflecting journey understanding (p =.039, r =.32), and more often factually correct (p <.001, r =.56). The framework provides a practical reliability layer for transactional user-state modeling, helping personalization and dialog policies operate on verified, not hallucinated, user states.

Group Recommender Systems (GRSys) are designed to recommend items that address the needs of groups of people. Compared to individual users, groups are dynamic entities where interpersonal relationships, group dynamics, emotional contagion, etc., substantially affect the group’s needs. Nevertheless, these characteristics are often poorly defined or overlooked in system modeling. The fifth GMAP workshop brought together a community of scholars focused on group modeling, adaptation, and personalization. The event was dedicated to exploring the challenges and opportunities of supporting collective decision-making, fostering interdisciplinary dialogue, and forging new collaborations. The three presented papers covered a diverse range of topics, revisiting assumptions about similarity, task definitions, and fairness perception in particular scenarios within the realm of group modeling, adaptation, and personalization.

Adaptive and personalized systems increasingly mediate everyday digital experiences, and recent advances in LLMs, NLP, and Generative AI have amplified their reach, from intelligent user interfaces and conversational agents to AR/immersive interactions and autonomous assistants. These methods now support applications in health and well-being, behavior change and persuasion, e-learning and educational games, and group modeling for collaboration and team formation, all of which require increasingly rich and dynamic user models. At the same time, modern pipelines based on data mining, knowledge graphs/linked data, semantic representations, and affective computing raise urgent questions about transparency, privacy, fairness, accountability, and user understanding, reinforced by regulatory expectations such as the GDPR right to explanation. Yet research often optimizes personalization performance without comparable attention to interpretability and human comprehension. This workshop provides a forum for theoretical, methodological, and empirical work that bridges effectiveness and explainability, with emphasis on robust human-centered evaluation and reproducible practices, including benchmarks, datasets, and shared challenges that advance trustworthy personalization in an era of increasingly autonomous AI.

Abstract Introduction Transthoracic echocardiography (TTE) identifies a hypercontractile phenotype (HP) in chronic coronary syndromes (CCS), characterized by elevated resting left ventricular (LV) elastance (force = systolic blood pressure/end-systolic volume). To evaluate the prognostic significance and functional correlates of HP. Methods In a prospective multicentre study, 10 677 patients with CCS underwent resting TTE to assess LV ejection fraction (EF), stroke volume, and force by quantitative volumetric echocardiography. All patients were followed for the endpoint of all-cause mortality. In a subset of 5834 patients, stress echocardiography (exercise or dobutamine) was performed for LV contractile reserve and heart rate reserve. Results Patients were stratified into Force quintiles (Q1–Q5). Patients with hypercontractile phenotype exhibited lower stroke volume at rest (Q5 = 34.8 ± 12.3 vs Q1–Q4 = 57.4 ± 19.1 mL; P < .01) and higher EF at rest (Q5 = 64.8 ± 6.9% vs Q1–Q4 = 58.1 ± 8.7%, P < .01). During a median follow-up of 24 months (interquartile range = 12–40 months), 509 deaths occurred. The exposure-adjusted death rate was lowest in Q3 (3.53–4.51 mmHg/mL; 1.03 per 100 person/years) and higher in Q1 (≤2.62 mmHg/mL, 2.88), Q2 (2.63–3.52 mmHg/mL, 1.86), Q4 (4.52–6.11 mmHg/mL, 1.56), and Q5 (HP, >6.11 mmHg/mL; 1.88; P < .0001 vs Q1 and Q3). Multivariable analysis identified HP (Q5; HR 1.531 vs Q3, 95% CI 1.116–2.099; P = .006) and EF (HR 0.963, 95% CI 0.953–0.972; P < .0001) as independent predictors of death. During exercise or dobutamine stress, HP showed reduced LV contractile reserve (ΔEF: Q5 = 4.3 ± 9.4% vs Q1–Q4 = 7.0 ± 9.3%; P < .001) and blunted heart rate reserve (Q5 = 1.77 ± 0.33 vs Q1–Q4 = 1.85 ± 0.39; P < .01). All patients with force-based LV contractile reserve >4.1 (present in 185, 3.2% of the population) survived. Conclusion Patients with CCS with HP assessed by resting TTE demonstrate higher mortality and multilayered functional impairment, including reduced LV contractile and chronotropic reserves. Hypercontractile phenotype improved the prediction of mortality by EF. A ‘stronger’ heart is, in fact, functionally and prognostically weaker.

[This corrects the article DOI: 10.1016/j.euros.2025.12.004.].

We establish an equivalence between the existence of Costas polynomials and the existence of a special kind of orthomorphism such that their compositions are also orthomorphisms. Computations are easier over these orthomorphisms. We provide a lower bound for the number of Costas polynomials and derive some of their properties. We show that Costas polynomials, by virtue of being multiplicative analogs of planar polynomials, can also be used to construct complete families of mutually orthogonal Latin squares.

Introduction and Objective: Sex differences in macrovascular complications of type 2 diabetes (T2D) are known, but evidence on microvascular differences remain limited. Methods: We used an Austrian medical claims database of 8.9 million individuals (1997-2014). Comorbidities co-occurring with T2D were analyzed using sex- and age-specific contingency tables across 2-year intervals (2003-2014), with odds ratios estimated via the Cochran-Mantel-Haenszel method. Only comorbidities with sufficient case numbers were retained. Sex differences were quantified by the differences of logarithmic ORs between male and females in units of pooled standard errors assessed using a Bonferroni-corrected test. Results: In 40 to 49 year olds, females had more retinopathy (OR 9.3 vs. 5.5), chronic kidney failure (CKI: OR 9.8 vs. 6.5), depression (OR 3.1 vs. 1.9) and cardiovascular complications including chronic ischemic heart disease (CIHD: OR 10.8 vs. 5.6), heart failure (HF: OR 12.1 vs. 7.7) and acute myocardial infarction (MI: OR 9.4 vs. 3.9, all p-values <0.001) compared to males with T2D. In 50 to 59 year olds, females had higher rates of CKI (OR 9.2 vs. 6.2), depression (OR 2.8 vs. 1.9) and cardiovascular complications (CIHD: OR 6.8 vs. 4.4, HF: OR 8.7 vs. 5.3, MI: OR 5.7 vs. 2.7) compared to males. Retinopathy showed no sex differences, but cerebral infarction was more frequent in females (OR 4.4 vs. 3.2). In age group 60 to 69 year olds, females had higher rates in cardiovascular complications (CIHD: OR 4.8 vs. 3.7, HF: OR 6.4 vs. 4.3, MI: OR 3.8 vs. 2.5), retinopathy (OR: 2.5 vs. 3.0), CKI (OR 7.3 vs. 4.9) and depression (OR: 2.5 vs. 2.0). Lastly, in 70 to 79 year olds the least differences with a higher rate of cardiovascular complications (CIHD: OR 3.5 vs. 3.2, MI: OR 3.1 vs. 2.3) and CKI (OR 5.0 vs. 4.0, all p-values<0.001) in females compared to males was reported. Conclusion: More comorbidities were associated with T2D in females than in males, including cardiovascular disease, retinopathy, nephropathy, and neuropathy. These results support more personalized and effective management strategies. T. Gisinger: None. K. Fenz: None. P. Klimek: None. E. Dervic: None. A. Kautzky-Willer: None.

This systematic review synthesizes 38 peer-reviewed empirical studies (January 2010-December 2025) on microcontroller use in physics education, following preferred reporting items for systematic reviews and meta-analyses procedures and searches in Scopus and ERIC. It describes how platforms such as Arduino, ESP32, Atmega328, and Micro:bit potentially support development of laboratory skills and may facilitate learning of mechanics, thermodynamics, electromagnetism and optics. These low-cost programmable devices most often facilitate learning through automated, high-frequency data collection and real-time visualization, allowing students to observe transient phenomena and connect measurements to conceptual models. Instructions are typically inquiry and project-based, with students building sensor systems, troubleshooting, and developing computational and experimental reasoning. Across studies, motivation and engagement frequently improve, and some report gains in conceptual understanding and laboratory problem-solving. Different barriers include limited teacher training, time constraints, calibration/debugging difficulties, and resource and maintenance demands. Future studies should prioritize longitudinal research and scalable teaching models to support sustained classroom integration.

Effective early warning systems for aquatic contamination require monitoring strategies capable of detecting subtle, long-term shifts in mixture-driven biological activity. Suspended particulate matter (SPM) serves as a carrier and reservoir for complex contaminant mixtures, facilitating their transport and persistence in aquatic systems, yet systematic toxicological time series for archived SPM remain scarce. Regulatory monitoring predominantly targets Priority Substances and River Basin Specific Pollutants, leaving the temporal trends of particle-associated mixture toxicity largely unresolved. Leveraging 18 years (2005-2022) of cryogenically archived annual SPM composites from the Rhine River, we conducted a spatiotemporal effect-based assessment integrating receptor-mediated effects, oxidative stress analysis and untargeted Cell Painting phenomics. This integrated toolbox enabled evaluation of pathway-specific responses and multi-compartment cellular perturbations associated with particle-bound contaminant mixtures. Polar SPM-associated chemicals elicited oxidative stress response and caused endocrine disruption through estrogen receptor α (ERα) activation and androgen receptor inhibition (anti-AR). Trend analysis showed spatiotemporal variation along the river, with statistically increasing trends of oxidative stress and anti-AR activity over time at Koblenz, driven by polar chemicals. Both polar and non-polar SPM extracts activated the aryl hydrocarbon receptor (AhR), indicating presence of compounds capable of triggering xenobiotic response pathways. Several subcellular compartments were affected, with mitochondrial features being among the most affected. These findings demonstrate that SPM-associated chemicals elicit diverse toxicological effects by acting on several receptors and impacting diverse cellular structures. Combining targeted and phenomics-based effect approaches provided comprehensive mechanistic insights and valuable information to support the early warning systems for chemical contamination in aquatic environments.

Timely diagnosis is critical for improving breast cancer outcomes, especially in resource-limited health systems. This study provides the first real-world evidence from Bosnia and Herzegovina on diagnostic and treatment intervals, adherence, and survival in women with breast cancer. We conducted a retrospective analysis of breast cancer cases diagnosed between 2019 and 2023 at the Clinical Centre University of Sarajevo, the largest cancer center in the country, managing approximately 60% of cases in the Federation of Bosnia and Herzegovina. Most patients (78.1%; 95% CI: 73.8-82.3) were diagnosed through self-referral due to symptoms, with 62.4% of cancers detected at stages 1 and 2. The mean patient and system diagnostic intervals were 38.1 days (95% CI: 23.4-52.8) and 38.6 days (95% CI: 29.9-47.3), respectively, with a total diagnostic interval of 70 days (95% CI: 58.9-82.5). Almost all diagnostic procedures had a waiting time of less than ten days. Among all women undergoing surgery, radical mastectomy was performed in 61% (95% CI: 55-66), while among women with stage 1-2 disease, 55% (95% CI: 48-62) underwent radical mastectomy. Treatment duration averaged 3.7 months for chemotherapy (95% CI: 3.4-4.1) and 0.48 months for radiotherapy (95% CI: 0.26-0.69), with higher compliance for radiotherapy (99.5%; 95% CI: 98-100) than chemotherapy (78%; 95% CI: 72-84). Three-year progression-free survival was 85.7%, and overall three-year survival was 86%. Early breast cancer detection and favorable survival can be achieved even in resource-constrained settings.

This scoping review maps the scope, characteristics, and emerging patterns of empirical research on doomscrolling. Guided by PRISMA-ScR recommendations, searches were conducted in Scopus and Web of Science, and 50 empirical studies met the inclusion criteria. The findings indicate that doomscrolling is generally conceptualized as repetitive, prolonged, and difficult-to-stop consumption of negative digital news, often driven by uncertainty, informational needs, and emotional discomfort. Research on doomscrolling has expanded rapidly since 2020, with a focus on pandemic-related contexts and growing attention to climate change, natural disasters, geopolitical conflicts, and other crises. Methodologically, the field is dominated by cross-sectional quantitative studies, while longitudinal, experimental, qualitative, and intervention-oriented studies remain limited. Across the reviewed studies, doomscrolling was frequently associated with adverse psychological outcomes, including anxiety, depression, stress, psychological distress, and reduced well-being. Emerging evidence also suggests social and occupational implications, including distraction, reduced productivity, and altered risk perceptions. Key individual-level factors associated with doomscrolling include fear of missing out, intolerance of uncertainty, emotional vulnerability, and low self-regulation. Despite growing scholarly interest, the literature remains fragmented in terms of definitions, measurement tools, research designs, and contextual coverage. This review highlights the need for standardized, cross-culturally validated measures; broader populations and crisis contexts; and stronger longitudinal, experimental, and intervention-based evidence. Overall, the findings position doomscrolling as a multidimensional phenomenon at the intersection of digital media use, crisis communication, and mental health, with important implications for future interdisciplinary research and digital well-being initiatives.

A central promise of topological quantum computing is that increasing the excitation gap improves device performance significantly. Here, we experimentally validate this principle in an InAs--Pb tetron device via interferometric single-shot parity measurements. By replacing aluminum with the higher-gap superconductor lead in our superconductor-semiconductor hybrid devices, we have improved the robustness of our topological phase. In addition, to enable fast and precise bring-up at scale, we have developed an rf measurement technique that resolves low-energy wire-end states and directly measures their energy splitting with $\mu\text{eV}$ precision. We employ this technique to bring up a device in a multi-tetron array and perform parity measurements of one of the tetron's hybrid nanowires (NWs). By controllably switching the wire parity, we observe $h/2e$-periodic bimodal shifts in the quantum capacitance of a quantum dot coupled to the hybrid nanowire in an interference loop. Further time-resolved measurements reveal a characteristic parity switching time of $\sim 20$ s with some instances reaching minute-scale. Such extremely long parity lifetimes are orders of magnitude longer than typical qubit operation times, which are on the order of $\mu\text{s}$. Finally, we discuss potential implications for the fidelity of Pauli measurements.