The aim of this study was to examine the content of total polyphenols and antioxidant activity of gluten - free buckwheat dough and crackers based on sour buckwheat dough. For the preparation of gluten-free crackers based on sour buckwheat dough, the dough is prepared by adding lyophilized starter culture. The recipe for gluten-free crackers based on sour buckwheat dough was prepared by mixing wheat gluten-free flour with the addition of 10% and 20% buckwheat sourdough, as well as wheat gluten-free flour with 20% buckwheat flour. Gluten-free wheat dough and crackers were prepared as a control sample. The total polyphenols in the aqueous extract of crackers and crackers were determined by a modified Folin – Ciocalte method. Two different methods, FRAP and DPPH, were used to determine antioxidant activity. The antioxidant activity in crackers and crackers was determined by the FRAP method, while the influence of time on the antioxidant activity of crackers was monitored by the DPPH method. The test results showed a higher content of total polyphenols and antioxidant activity in doughs and crackers produced with the addition of buckwheat sourdough as a result of the action of lactic acid bacteria whose metabolism stimulates the formation of new amounts of polyphenolic compounds.

Water ecosystem pollution causes stress in fish species and leads to diseases as a consequence of interaction with opportunistic pathogens. Parasitic species pose a particular threat to fish health, being transmitted from one fish to another through direct and/or indirect means. This research conducted a parasitological analysis of the bioindicator species Barbus balcanicus. Histological analysis was performed to detect the relationship with parasitic infections, as well as the correlation between water bacteriological parameters and inflammatory processes in fish tissues. Sampling was carried out in July 2021 at two locations in the Miljacka River. Analysis of the tissue samples from the individuals detected the presence of parasites from the groups Protozoa and Trematoda, which were identified up to the level of genus or species using relevant keys and literature. Alongside ichthyoparasitological research, an analysis of physicochemical water icrobiological analysis was conducted, with results indicating pollution of the Miljacka River and favorable conditions for parasite development. Histological analysis confirmed the presence of pathological lesions in the gill and liver tissues of individuals, linked to parasitic infections and the presence of pathogenic microorganisms. Various pollutants in water ecosystems contribute to the presence of parasites and histopathological changes in fish species, while parasitic infections and tissue changes indicate poor ecological status and contamination of surface waters.

In this paper, the physicochemical and biological parameters in three rivers of Bosnia and Herzegovina are investigated. The compositions of macrozoobenthos and bacterial communities in the rivers Drina, Gostović and Vogošća were analyzed. Data were obtained by field sampling conducted during the summer period in 2019 and 2020. Results indicate that the most of the physicochemical parameters of water change with the impact of pollution and altitude. The results showed that the structure of macroinvertebrate communities, the number of indigenous or allochthonous bacterial populations in the examined rivers significantly depends on altitude, temperature and oxygen concentration. Patterns of correlation were observed between individual physicochemical parameters of water on the one hand and communities of macroinvertebrates and bacteria on the other.

Endocrinological and physiological changes associated with parturition and begining of lactation have negative effects to immune functions, dry matter intake and cows have to go through period of negative energy balance of different intensity and duration. After parturition, about 80% of dairy cows enter the period of negative energy balance in early lactation and body condition score decrease, because of great energy needs for milk synthesis, which is followed with compromising of reproductive performances. Lameness is chronical, painful and stressful condition, associated with lower reproductive performances and it represents one of three most common reason for economical losses in dairy industry. This study had included 44 Holstein Friesian cows. Status of reproductive organs and body condition has been assessed by sonography and for lameness ZINPRO method. More frequent lameness have been observed, where 59% cows had been in category 2, while 32,2% cows in category 3. Cows with insufficient body condition score (BCS) before parturition, during period of puerperium had anovulation of 25%. Farms should have calendar od routine body condition and lameness assessment, because of negative effects, they may have to many physiological functions.

Apstrakt: Ovaj rad sistematizuje i analizira zabilježene drvene mikrohabitate (tree-related microhabitats - TreMs) na jednom reprezentativnom starom primjerku hrasta lužnjaka u naselju Kreka, grad Tuzla. Rad prikazuje inventar prisutnih mikrostaništa, detaljno opisuje primijenjenu metodologiju praćenja TreMs prema preporukama Bütler et al. (2020), te prezentira primarne rezultate terenskog pregleda. Rad predstavlja pilot istraživanje mikrohabitata hrastova tuzlanske regije. Ključne riječi: microhabitat, hrast lužnjak, Tuzla.

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

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.

INTRODUCTION/OBJECTIVE Acute intracranial stenting during endovascular thrombectomy (EVT) for ischemic stroke requires intraprocedural antiplatelet therapy (APT) to maintain patency. However, the hemorrhagic risk of combining APT with intravenous thrombolysis (IVT) remains uncertain. We evaluated the safety of IVT combined with conservative versus aggressive intraprocedural APT in patients requiring stenting during EVT. METHODS This multicenter RESISTANT registry subanalysis (2016-2023) included 823 adults. APT was categorized as conservative (aspirin +/- oral P2Y12) or aggressive (including GPIIb/IIIa inhibitors or cangrelor). The primary outcome was a composite of symptomatic intracranial hemorrhage (sICH) and parenchymal hematoma (PH1/PH2). Multivariable logistic regression assessed associations and interactions between IVT and APT. RESULTS A total of 823 patients were included: 44 (5.3%) received IVT + conservative APT, 130 (15.8%) No IVT + conservative APT, 145 (17.6%) IVT + aggressive APT, and 504 (61.2%) No IVT + aggressive APT. Frequencies of sICH-PH1-PH2 were 9.3% with IVT + conservative APT, 10.7% with IVT + aggressive APT, 3.2% with No IVT + conservative APT, and 9.9% with No IVT + aggressive APT. In multivariable analysis without interaction terms, neither IVT (aOR 1.18, 95% CI 0.58-2.27; p = 0.64) nor aggressive APT (aOR 2.10, 95% CI 0.92-5.69; p = 0.10) was independently associated with increased risk of sICH-PH1-PH2. However, in the interaction model, IVT within the conservative-APT stratum (aOR 5.84, 95% CI 1.07-43.92; p = 0.05) and aggressive APT within the no-IVT stratum (aOR 4.81, 95% CI 1.41-30.22; p = 0.03) were each associated with higher odds of sICH-PH1-PH2, while the IVT-by-APT interaction term was < 1 (aOR 0.15, 95% CI 0.02-0.94; p = 0.05), indicating attenuation of the joint effect on the multiplicative odds scale. CONCLUSION Among patients requiring intracranial stenting during EVT, we found no evidence that IVT and aggressive intraprocedural APT act synergistically to increase hemorrhagic risk. Rather, the negative IVT-by-APT interaction suggested attenuation of the joint effect on the multiplicative odds scale, although patients receiving both therapies remained at increased hemorrhagic risk relative to the reference group.

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.].