Analysis of conversions between compressional and shear waves is a workhorse method for constraining crustal and lithospheric structure on Earth; yet, such converted waves have not been unequivocally identified in seismic data from the largest events on the Moon, due to the highly scattered waveforms of shallow seismic events. We reanalyze the polarization attributes of waveforms recorded by the Apollo seismic network to identify signals with rectilinear particle motion below 1 Hz, arising from conversions across the crust‐mantle boundary. Delay times of these converted waves are inverted to estimate crustal thickness and wavespeeds beneath the seismometers. Combined with gravimetric modeling, these new crustal thickness tie‐points yield an updated lunar crustal model with an average thickness of 29–47 km. Unlike previous models, ours include explicit uncertainty estimates, offering critical context for future lunar missions, geophysical studies, and predicting 15–36 km crust at Schrödinger and 29–52 km at Artemis III sites.

The impact of resins with varying ligands and pH levels on human IgG4 protein was analysed using anion exchange chromatography. Initially, a resin screening study involving five different positively charged ligands from four different brands was conducted on largely purified monoclonal antibodies, following Protein A capture. Subsequently, the influence of pH levels (6, 7, and 8.1) on an IgG4 protein with an isoelectric point of 6.9 was assessed using a single resin. Throughout the resin screening, all protein quality analyses were performed to identify the resin with the most compatible ligand. The study on pH effects revealed that when the pH exceeded 6.9, various protein fragments were removed, directly affecting the protein charge variant. When the protein pH was at or below the isoelectric point, the anion exchange chromatography flow-through method achieved a maximum protein recovery of 92-98%.

Partial differential equations (PDEs) are fundamental to modeling complex and nonlinear physical phenomena, but their numerical solution often requires significant computational resources, particularly when a large number of forward full solution evaluations are necessary, such as in design, optimization, sensitivity analysis, and uncertainty quantification. Recent progress in operator learning has enabled surrogate models that efficiently predict full PDE solution fields; however, these models often struggle with accuracy and robustness when faced with highly nonlinear responses driven by sequential input functions. To address these challenges, we propose the Sequential Neural Operator Transformer (S-NOT), a architecture that combines gated recurrent units (GRUs) with the self-attention mechanism of transformers to address time-dependent,nonlinear PDEs. Unlike S-DeepONet (S-DON), which uses a dot product to merge encoded outputs from the branch and trunk sub-networks, S-NOT leverages attention to better capture intricate dependencies between sequential inputs and spatial query points. We benchmark S-NOT on three challenging datasets from real-world applications with plastic and thermo-viscoplastic highly nonlinear material responses: multiphysics steel solidification, a 3D lug specimen, and a dogbone specimen under temporal and path-dependent loadings. The results show that S-NOT consistently achieves a higher prediction accuracy than S-DON even for data outliers, demonstrating its accuracy and robustness for drastically accelerating computational frameworks in scientific and engineering applications.

We introduce ManifoldMind, a probabilistic geometric recommender system for exploratory reasoning over semantic hierarchies in hyperbolic space. Unlike prior methods with fixed curvature and rigid embeddings, ManifoldMind represents users, items, and tags as adaptive-curvature probabilistic spheres, enabling personalised uncertainty modeling and geometry-aware semantic exploration. A curvature-aware semantic kernel supports soft, multi-hop inference, allowing the model to explore diverse conceptual paths instead of overfitting to shallow or direct interactions. Experiments on four public benchmarks show superior NDCG, calibration, and diversity compared to strong baselines. ManifoldMind produces explicit reasoning traces, enabling transparent, trustworthy, and exploration-driven recommendations in sparse or abstract domains.

Brewer’s spent grain (BSG), the most abundant by-product from breweries, is mainly discarded or used as animal feed. However, to increase the brewing sustainability, biotechnological utilization of BSG is a much preferred solution. This study examined the fermentation of BSG, composed of old wheat bread and barley malt, by metabolic activity of Saccharomyces cerevisiae on both hydrolyzed and non-hydrolyzed media. Enzymatic hydrolysis with Viscozyme® W FG for 6 h was selected as the most effective and was used in the further research step to prepare the hydrolyzed BSG-based medium. Both media supported almost uniform yeast growth (numbers of S. cerevisiae cells was about 8 log10 CFU/g) in an acidic environment (pH value was about 5), but fermentation of hydrolyzed BSG resulted in 20% higher sugar consumption and 10% higher total titratable acidity. These findings underscore the potential of enzymatic pretreatment to improve fermentation performance. The adaptability of S. cerevisiae and the fermentability of both substrates suggest promising potential for scalable BSG valorization strategies in circular food systems.

U radu su razmatrana trenutna i konsolidacijska slijeganja kvadratnog temelja za dvije različite geomehaničke sredine. Prvi slučaj je pjeskovito tlo ispod kojeg se nalazi sloj gline, a druga geomehanička sredina je pjeskovito tlo u mješavini sa šljunkom te ojačano cementnim prahom (30%) i staklenim vlaknima (1%) ispod kojeg se nalazi glina. Dobiveni rezultati slijeganja pokazuju dobru stabilizaciju tla i povoljne geomehaničke karakteristike ojačanog tla koji se ogledaju u manjoj vrijednosti ukupnog slijeganja temelja koja zadovoljava maksimalnu dopuštenu vrijednost definiranu Eurocode-om. U radu su prikazana slijeganja kroz vremensko razdoblje od 120 dana, prikazano je konačno, dugoročno slijeganje ispod temelja kao i diferencijalni omjer (δ/L) slijeganja temelja. Proračun trenutnog slijeganja vršen je prema teoriji elastičnosti odnosno konsolidacijsko slijeganje prema Terzaghi-ju.

Evaluation of the performance of teleoperation systems plays an important role in assessing the efficacy and reliability of such systems. The evaluation is usually performed based on factors such as stability, transparency, and user satisfaction. However, very few studies have addressed the numerical evaluation of transparency in teleoperation systems so far. This letter presents a novel method to numerically assess the transparency of teleoperation systems based on representing recorded experimental data algebraically by fitting parametric curves using Elliptic Fourier Descriptors (EFD). The EFD coefficients are used to compute the Hybrid Matrix of the teleoperation system, which provides a metric for judging how transparent a teleoperation system is. This letter validates the proposed method using real experimental position and force data for teleoperation systems with and without time delay, as well as providing an analysis of the effect of the number of harmonics on the calculation of the Hybrid Matrix.

Abstract Consumers of agricultural products represent a sensitive category of society, therefore communication with them is particularly important. Communication is influenced by a large number of factors, and in this regard, making the right decision about the way to communicate is an extremely complex job. In previous research, the emphasis was placed mostly on the entire supply chain, much more than on the method of choosing communication with end consumers of agricultural products. Therefore, this research represents an attempt to make an additional contribution to rational decision-making in this part of the agricultural supply chain. In this paper, the selection of criteria used in the process of communicating with consumers in a country was carried out by applying expert fuzzy multi-criteria decision-making. The innovative fuzzy method SiWeC (Simple Weight Calculation) was applied to evaluate ten given criteria with the aim of their selection. The subject of the research were several agricultural companies and the experts were six experts from the marketing department of the companies in question. The results show that the method of communication itself is the best evaluated criterion, as well as the delivery time, i.e. the impact of delivery speed on the demand for a particular agricultural product. Uncertainty in decision-making is reduced by applying fuzzy decision-making logic, and the results provide the basis for future research that should be directed at selecting the most favorable methods of communication when products of this type are in question, as well as the development of the existing methodology, which in this case has proven to be adequate.

Background/Objectives: This research reports the synthesis and evaluation of novel charged thienobenzo-triazoles as non-selective cholinesterase inhibitors (AChEs and BChEs), their anti-inflammatory properties, and a computational study. Methods: Fifteen derivatives were created through photochemical cyclization and quaternization of the triazole core. The compounds were tested for AChE and BChE inhibition. They showed greater potency and selectivity toward BChE. Results: The most potent compound, derivative 14, inhibited BChE with an IC50 of 98 nM, while derivative 9 also displayed significant anti-inflammatory activity by inhibiting LPS-induced TNF-α production (IC50 = 0.66 µM). Molecular docking revealed that triazolinium salts form key π-π and electrostatic interactions within enzyme active sites. In silico predictions indicated favorable ADME-Tox properties for compounds 9 and 11, including low mutagenicity and moderate CNS permeability. Conclusions: These findings highlight the potential of new charged triazolinium salts as peripherally selective cholinesterase inhibitors with additional anti-inflammatory potential.

The ideological underpinnings of the Great Replacement Theory, which frames Muslims as a threat to Europe, originated in Serbia and emboldened a wider narrative of anti-Muslim hate across Western milieus. The othering of Bosnian Muslims (Bosniaks), an autochthonous ethnic group in Southeastern Europe, has contributed to the normalization of the alienation of Muslims throughout Europe, engendering Educational Displacement—an internalized sense of invisibility and devaluation within targeted individuals, diminishing their participation and trust in the societal institutions. In this complex socio-political and historical context, Bosniaks have nonetheless chosen to principally champion interfaith coexistence, offering an instructive and community-based model of resilience to hate and violence. The study investigates the Bosniaks’ affinity for coexistence by examining the underexplored case of interfaith solidarity and entente between Muslims and Jews in Bosnia and Herzegovina from 1540 to the present.

Background Acute cholecystitis (AC) is a frequent surgical emergency associated with significant variability in clinical outcomes and hospital length of stay (LOS). Early identification of patients at risk for prolonged hospitalization can improve triage and resource planning. Inflammatory markers such as C-reactive protein (CRP), white blood cell count (WBC), and total bilirubin (TBil), along with biliary complications like choledocholithiasis and Mirizzi syndrome, may have prognostic value. Materials and methods This retrospective study included 150 patients who underwent cholecystectomy for AC at the Department of General and Abdominal Surgery, University Clinical Centre Tuzla, Tuzla, Bosnia and Herzegovina, between January 1, 2024, and January 31, 2025. Demographic, laboratory, and intraoperative data were collected. Receiver operating characteristic (ROC) analysis identified optimal cut-offs for inflammatory markers predicting prolonged LOS (≥7 days). Multivariate linear regression was used to assess independent predictors, including CRP, WBC, TBil, and intraoperative findings. Results We found that CRP was significantly higher in patients with prolonged LOS and demonstrated the highest predictive accuracy, with an area under the curve (AUC) of 0.733 (95% CI: 0.630-0.835), followed by TBil and WBC. In multivariate analysis, only CRP ≥110.5 mg/L (p<0.001), the presence of choledocholithiasis in 26 patients (17.3%; p=0.010), and Mirizzi syndrome in seven patients (4.7%; p=0.017) remained significant predictors. WBC and TBil lost significance after adjustment. Conclusion CRP is the most reliable independent laboratory predictor of prolonged LOS in AC. The presence of choledocholithiasis and Mirizzi syndrome further contributes to extended hospitalization. These factors should be considered in early clinical risk assessment.

Procedural modeling methods are used to automatically generate virtual scenes. There is a large number of available top‐down methods for generating partial content for specific purposes. However, little research was done on enabling the generation of content in the presence of manually modeled elements, from the bottom‐up direction, or without significant assistance from the user. No existing approach provides a platform that can combine the results of different methods, which leaves them isolated. This paper presents an integration approach that generates complete virtual space organizations by combining the usage of top‐down and bottom‐up procedural generation of content, with support for the placement of manually modeled content. The integration is made possible by using shape conversion to match the input and output shape types of different methods. The evaluation of the proposed approach was performed on a 2D polygon dataset by using four different scenarios, validating that it works as intended. Additional testing was performed by using a case study of organizing 3D virtual space around the manually modeled element of virtual heritage Tašlihan to demonstrate all capabilities of the integration approach and the different outputs depending on the level of user interaction and the desired results.