This paper presents a comparative analysis of the settlement of the Kobilja Glava tunnel structure, using three-dimensional numerical modeling and geodetic monitoring during construction. The numerical model, developed in the Plaxis 3D software package, included all excavation and support phases, with rock mass parameters defined based on RMR classification and conversion of Hoek-Brown parameters into the Mohr-Coulomb form. The primary lining was modeled using plate elements, while anchors were represented as embedded elements with equivalent elastic modulus.Geodetic measurements were carried out continuously, with measurement points positioned at the tunnel crown, sidewalls, and the bench, providing actual convergence values. Comparison between the numerical model results and geodetic measurements revealed discrepancies ranging from 18% to 24%, with the largest deviations recorded at a distance of 24 m from the excavation face. Statistical data analysis (RMSE ≈ 3.71 mm; σ ≈ 1.21 mm) confirmed the presence of a systematic prediction error, but also the stability of deviations across the analyzed points.The results confirm the technical validity of the applied model and the designed support system, while emphasizing the need for dynamic updating of numerical models in accordance with field data. This further reinforces the implementation of the observational method as a reliable approach under real tunneling conditions.

Solvent structure-making is an important feature of molecular organization in liquids as it shapes thermodynamic, dynamic and reactive properties. In this paper, we combine experimental and computational approaches to elucidate the structure-making behaviour of trans-4-hydroxy-3-methoxycinnamic acid (ferulic acid, FA) in a series of solvents: the protic alcohols methanol, ethanol, and 2-propanol, and the aprotic solvents tetrahydrofuran (THF) and dimethyl sulfoxide (DMSO). Precise viscometric measurements over 11 temperatures in the molality range from ∼0.01 to ∼0.5 mol kg-1 reveal that FA acts as a structure-maker across all solutions. Molecular dynamics simulations complement these findings, revealing marked cross-species correlations and mixed clusters in protic solvents. Hydrogen-bond analysis highlights the long lifetimes of cross-species hydrogen bonds, underscoring the dual donor-acceptor capacity of FA. The insights from experiments and simulations provide a molecular foundation for understanding how solute-induced structure-making by ferulic acid influences solvent organization, and ultimately, properties such as viscosity and antioxidant performance.

This article extends the analysis of Atkinson, Foley, and Ganz in"Beyond the Spoiler Effect: Can Ranked-Choice Voting Solve the Problem of Political Polarization?". Their work uses a one-dimensional spatial model based on survey data from the Cooperative Election Survey (CES) to examine how instant-runoff voting (IRV) and Condorcet methods promote candidate moderation. Their model assumes an idealized electoral environment in which all voters possess complete information regarding candidates'ideological positions, all voters provide complete preference rankings, etc. Under these assumptions, their results indicate that Condorcet methods tend to yield winners who are substantially more moderate than those produced by IRV. We construct new models based on CES data which take into account more realistic voter behavior, such as the presence of partial ballots. Our general finding is that under more realistic models the differences between Condorcet methods and IRV largely disappear, implying that in real-world settings the moderating effect of Condorcet methods may not be nearly as strong as what is suggested by more theoretical models.

This research assessed management strategies for overtourism in Zadar County. Overtourism has become apparent in both city and seaside destinations, affecting residents’ quality of life. This study defines overtourism as a challenge for urban management, emphasizing that exploring strategies to address overtourism also influences the management of sustainability and quality of life in urban areas. Here, a methodological framework was created with five strategies, each evaluated against seven criteria. The evaluation was carried out by the directors of the county’s tourist boards. Since these strategies have not yet been implemented, the directors had to rate them with some uncertainty, as they lacked complete information about the criteria and potential effects. To handle this uncertainty, the intuitionistic fuzzy set (IFS) approach was used. Additionally, the SiWeC method determined the importance of the criteria, and the TOPSIS method ranked the strategies. Results, based on ratings from 12 directors, indicated that Digital Support and Environmental Sustainability are the most important criteria. Strategy C, which aims to redirect tourists to lesser-known locations within the county, performed best, maintaining visitor numbers while helping preserve the region’s natural resources. This research has shown that strategies for managing overtourism help reduce the pressure tourists place on urban environments, thereby improving the quality of life and sustainable development of these environments.

Five neutral heteroleptic mononuclear vanadium(IV) hydrazone complexes ([VOL(bpy)]), derived from 2-hydroxy-5-methylacetophenone and various acid hydrazides (furoic, thiophene, benzoic, nicotinic, and isoniazid), were synthesized and shown to exhibit improved antidiabetic efficacy in streptozotocin-induced diabetic rats, with reduced toxicity and minimal bioaccumulation compared to maltolato- and picolinato-based vanadium species. Structural identity was established by spectroscopic methods. Crystal structures were obtained for four complexes, providing insight into their solid-state chemistry. Stability studies in simulated intestinal and gastric fluids showed that the complexes largely retained their integrity under intestinal conditions, whereas decomposition occurred in the highly acidic gastric environment within several minutes. In vivo experiments revealed a structure-antihyperglycemic activity relationship. The nicotinic-containing complex showed the highest activity, reducing blood glucose levels by 67% within 7 days of treatment, while the remaining complexes improved glycemic control by more than 50%. Bioaccumulation studies demonstrated <1.1% uptake in the liver and kidneys and negligible accumulation in the brain. The presented vanadium compounds enhance antidiabetic potential by addressing key limitations, particularly bioaccumulation and toxicity, associated with vanadium agents previously evaluated in clinical trials.

We examined gender and geographical patterns of authorship ( N  = 1,273,571) across psychology journals listed in Scopus ( N  = 1,398) depending on their citation impact for 4 consecutive years (from 2020 to 2023). We observed gender balance and a dominance of authors from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries in the authors sample ( N  = 921,411). The percentage of WEIRD authors varied as a function of journals’ impact, so that more WEIRD authors published in higher impact journals, and were more probable to be in a first and last authors position. Our findings show that while more authors from underrepresented regions are contributing to psychological journals, journals with higher prestige tend to have fewer of these authors. We also argue that the apparent 50/50 gender balance observed may still reflect representation bias, that is, an inadequate number of women as authors given base rates of their professional participation in psychology. These insights are crucial for fostering a more inclusive and representative field of psychology, which can lead to more equitable research practices and better outcomes for diverse populations.

Ždralovac peatland in the karst field Livanjsko polje in southwestern Bosnia and Herzegovina with an area of about 3.500 ha has always been drained and used for the regional people. But drainage, agriculture and climate change cause the peat drying in the summer and create the conditions for frequent fires and serious changes of peat properties. Since 1.000 ha of peatland was used for agriculture (abandoned areas for 25 years that are being cultivated again today), and the extracted peat is used as a raw material for the plant growing substrate. The presence of certain pollutants is a good indicator of the suitability of peat for the plant production. In this paper, the state of peat related to contamination with heavy metals, polycyclic aromatic hydrocarbons - PAHs and pesticide residues was investigated in undrained peat areas, reclamation areas and peat burning sites. The presence of heavy metals in concentrations higher than permitted was not recorded. The presence of combustion products PAHs was recorded on all surfaces, but only naphthalene exceeds the permitted concentrations of organic pollutants. Only pesticide residue of dichlorodiphenyltrichloroethane (DDT) was recorded in abandoned meliorated areas used in agriculture, and the concentration exceeded the level of uncontaminated land.

Egyptian blue (EB) was a prized, intense blue pigment in antiquity, its color commonly associated with wealth, status, and divinity. While frequently used in small quantities for decorative enhancements, Pompeii’s newly excavated “Blue Room”, a shrine in Regio IX Insula 10, is remarkable in that the entire room is covered with this historically famous pigment. Using a combination of visible (white light)-induced luminescence, SEM-EDS, and Raman spectroscopy, we were able to spatially map the large-scale distribution of EB in situ, identify the method of application, and calculate the total quantity of EB used. We estimate that between 2.7 and 4.9 kg of EB was applied in the fresco technique, corresponding to a total cost of between 93 and 168 denarii. These findings demonstrate how modern multi-scale characterization tools can be employed to provide valuable insights into material investment, artistic practice, and social status in an ancient Roman domestic context.

Abstract Introduction Relationship between changes in cardiac function, functional capacity, and patient-reported health status in heart failure (HF) remains incompletely defined, which may help inform endpoint selection and clarify how distinct clinical domains reflect treatment response. Methods This post hoc analysis of the randomized cardiac microcurrent (C-MIC) II trial, which evaluated the efficacy and safety of C-MIC therapy in patients with chronic HF with reduced ejection fraction on optimal guideline-directed medical therapy, included 65 ambulatory patients with non-ischaemic dilated cardiomyopathy, New York Heart Association (NYHA) Class III-IV symptoms, and baseline left ventricular ejection fraction (LVEF) 25–35%. Correlations between changes in Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OSS), 6-minute walk distance (6MWD), core lab-assessed LVEF (primary measure) and site-assessed LVEF, and peak oxygen uptake (peak VO2) were evaluated at 4 weeks, 2 months, 3 months, 4 months, and 6 months using Pearson coefficients with 95% confidence intervals (CI). Results The mean age was 60.0 ± 9.7 years and baseline LVEF was 29.8 ± 3.3%. Baseline 6MWD was 291.4 ± 61.6 m and KCCQ-OSS was 42.6 ± 22.7. From baseline to 6 months, changes in KCCQ-OSS (n = 63) and 6MWD (n = 61) showed modest correlations with core lab-assessed LVEF (r = 0.39; 95% CI: 0.16–0.58; P = .0015 and r = 0.39; 95% CI: 0.15–0.58; P = .0022, respectively). Changes in KCCQ-OSS and 6MWD correlated strongly (n = 62; r = 0.63; 95% CI: 0.46–0.76; P < .0001). Changes in KCCQ-OSS and 6MWD did not correlate significantly with changes in peak VO2 (P = .06 and P = .30, respectively). Changes in LVEF and peak VO2 (n = 55) demonstrated modest correlation (r = 0.41; 95% CI: 0.16–0.61; P = .002). Baseline correlations with peak VO2 were weak to modest but increased at 6 months for LVEF (n = 59; r = 0.56; 95% CI: 0.35–0.71; P < .0001). Conclusion In advanced HF, improvements in health status and submaximal functional capacity associate modestly with LVEF, while LVEF correlates more closely with peak VO2. Cardiac function, functional capacity, and health status represent related but distinct domains, supporting multidimensional assessment in HF trials.

Abstract Objective. This study aimed to investigate which of the two vitamin K antagonists, warfarin or acenocoumarol, provides more stable anticoagulation control in patients with mechanical heart valves and atrial fibrillation. Patients and Methods. This was a prospective, one-year clinical cohort study. In total, 73 outpatients with mechanical heart valves and atrial fibrillation who were already treated with warfarin or acenocoumarol were recruited from the Blood Transfusion Institute of the Federation of Bosnia and Herzegovina. The prothrombin time target values, expressed as the international normalized ratio (INR), were 2.0–3.0/4.0. Numerical data between the treatment groups were summarized descriptively. Results. Patients in the warfarin (N=35) and acenocoumarol (N=38) treatment groups were similar in terms of sex, age, body mass index, body surface area, and number of concomitant drugs known to interact with vitamin K antagonists. The number of INR measurements per patient, number of INR measurements within the therapeutic range per patient, mean time interval between successive INR measurements, and mean INR values across consecutive measurements were similar in both groups. However, compared to acenocoumarol, warfarin treatment seemed to be associated with more stable anticoagulation, i.e., with a higher mean time in the therapeutic range (TTR) (76.1±24.2 vs. 69.1±21.5%) and a smaller proportion of patients below all predefined TTR thresholds (<60%, <65%, and <70%). Conclusion. Our unadjusted descriptive results suggested that warfarin, compared to acenocoumarol, may provide more stable and therefore safer anticoagulation control in patients with mechanical heart valves and atrial fibrillation. To confirm this, larger prospective clinical studies are needed in patients with mechanical heart valves with or without atrial fibrillation.

Diabetes mellitus is a growing global health challenge, and digital health technologies offer new opportunities to support self-management. Mobile applications can benefit both patients and healthcare professionals; however, awareness and integration of these tools into community pharmacy practice remain limited. As accessible frontline providers, pharmacists are well positioned to promote digital health, yet their readiness and engagement require further investigation. A cross-sectional survey was conducted among community pharmacists in Serbia using a structured questionnaire. Developed through a consensus-based process, the instrument assessed pharmacists’ awareness, attitudes, and experiences with digital health technologies, focusing on mobile applications for diabetes self-management. Only 15.8% of pharmacists were aware of such applications, and 2.4% reported receiving relevant training. Higher digital health technology literacy was associated with greater awareness, confidence, and preference for digital learning. Most participants supported expanding pharmacists’ roles in advising patients on digital tools and expressed interest in structured education and official guidance. These findings indicate limited awareness and training in mobile health applications among community pharmacists. Enhancing digital competencies through targeted education and structured guidance may facilitate greater integration of digital tools into routine pharmacy practice and strengthen pharmacists’ roles in chronic disease management.

Digital twins (DTs) are increasingly used to monitor and secure Industrial Control Systems (ICS), yet detecting stealthy False Data Injection Attacks (FDIAs) that manipulate system states within normal physical bounds remains challenging. Deep learning anomaly detectors often over-generalize such subtle manipulations, while classical fault detection methods do not scale well in highly correlated multivariate systems. We propose a closed-loop Information-Theoretic Digital Twin (IT-DT) framework for real-time anomaly detection. N4SID identification is combined with steady-state Kalman filtering to quantify residual distribution shifts via closed-form KL divergence, capturing both mean deviations and malicious cross-covariance shifts. Evaluations on the SWaT and WADI datasets show that IT-DT achieves F1-scores of 0.832 and 0.615, respectively, with better precision than deep learning baselines such as TranAD. Computational profiling indicates that the analytical approach requires minimal memory and provides approximately a 600x inference speedup over transformer-based methods on CPU hardware. This makes the framework suitable for resource-constrained industrial edge controllers without GPU acceleration.