We introduce the concept of Diophantine spherical vague set approach to multiple-attribute decision-making. The Spherical vague set is a novel expansion of the vague set and interval valued spherical fuzzy set. Three new concepts have been introduce such as Diophantine spherical vague weighted averaging operator, Diophantine spherical vague weighted geometric operator, generalized Diophantine spherical vague weighted averaging operator and generalized Diophantine spherical vague weighted geometric operator. We provide a numerical example to show how Euclidean distance and Hamming distance interact. Applications of the Diophantine spherical vague number include idempotency, boundedness, commutativity and monotonicity in algebraic operations. They can determine the optimal option and are more well-known and reasonable. Our goal was to identify the optimal choice by comparing expert opinions with the criteria. As a result, the model’s output was more accurate as well as in the range of the natural number . The weighted averaging distance and weighted geometric distance operators are distance measure that is based on aggregating model. By comparing the models under discussion with those suggested in the literature, we hoped to show their worth and reliability. It is possible to find a better solution more quickly, simply, and practically. Our objective was to compare the expert evaluations with the criteria and determine which option was the most suitable. Because they yield more precise solutions, these models are more accurate and more related to models with . To show the superiority and the validity of the proposed aggregation operations, we compared it with the existing method and concluded from the comparison and sensitivity analysis that our proposed technique is more effective and reliable. This investigation yielded some intriguing results.

BACKGROUND Non-ST segment elevation myocardial infarction (NSTEMI) poses significant challenges in clinical management due to its diverse outcomes. Understanding the prognostic role of hematological parameters and derived ratios in NSTEMI patients could aid in risk stratification and improve patient care. AIM To evaluate the predictive value of hemogram-derived ratios for major adverse cardiovascular events (MACE) in NSTEMI patients, potentially improving clinical outcomes. METHODS A prospective, observational cohort study was conducted in 2021 at the Internal Medicine Clinic of the University Hospital in Tuzla, Bosnia and Herzegovina. The study included 170 patients with NSTEMI, who were divided into a group with MACE and a control group without MACE. Furthermore, the MACE group was subdivided into lethal and non-lethal groups for prognostic analysis. Alongside hematological parameters, an additional 13 hematological-derived ratios (HDRs) were monitored, and their prognostic role was investigated. RESULTS Hematological parameters did not significantly differ between non-ST segment elevation myocardial infarction (NSTEMI) patients with MACE and a control group at T1 and T2. However, significant disparities emerged in HDRs among NSTEMI patients with lethal and non-lethal outcomes post-MACE. Notably, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were elevated in lethal outcomes. Furthermore, C-reactive protein-to-lymphocyte ratio (CRP/Ly) at T1 (> 4.737) demonstrated predictive value [odds ratio (OR): 3.690, P = 0.024]. Both NLR at T1 (> 4.076) and T2 (> 4.667) emerged as significant predictors, with NLR at T2 exhibiting the highest diagnostic performance, as indicated by an area under the curve of 0.811 (95%CI: 0.727-0.859) and OR of 4.915 (95%CI: 1.917-12.602, P = 0.001), emphasizing its important role as a prognostic marker. CONCLUSION This study highlights the significant prognostic value of hemogram-derived indexes in predicting MACE among NSTEMI patients. During follow-up, NLR, PLR, and CRP/Ly offer important insights into the inflammatory processes underlying cardiovascular events.

Background and Objectives: Burden of cervical cancer in Central and Eastern Europe is higher than in other parts of Europe. We analyzed cervical cancer epidemiology in Serbia and Bosnia and Herzegovina (the Federation of Bosnia and Herzegovina and the Republic of Srpska) from January 2016 to December 2020, exploring the role of available sociodemographic factors and healthcare service parameters on incidence and mortality rates, using an ecological approach based on aggregated data. Materials and Methods: Incidence and mortality rates are standardized using the method of direct standardization with the World-ASR-W. Administrative units are grouped by tertiles of incidence and mortality to explore sociodemographic factors and healthcare parameters across these groups. Results: Average age-standardized incidence rates of cervical cancer per 100,000 females were 19.28 in Serbia, 12.48 in the Federation of Bosnia and Herzegovina, and 22.44 in the Republic of Srpska. Mortality rates per 100,000 females were 6.67, 5.22, and 4.56 in Serbia, the Federation of Bosnia and Herzegovina, and the Republic of Srpska, respectively. Several parameters of sociodemographics and health service usage differed significantly across units grouped by tertiles based on incidence level, i.e., female population ≥ 15 years old (p = 0.028), population density (p = 0.046), percent of gynecologists in the primary healthcare (p = 0.041), number of gynecologists per 10,000 females ≥ 15 years (p = 0.007), and the area-to-gynecologist ratio (p = 0.010). A moderate negative correlation was found between incidence and population density (rho = −0.465, p = 0.017), and a moderate positive correlation between incidence and area-to-gynecologist ratio (rho = 0.534, p = 0.005). Conclusions: Cervical cancer remains a leading cause of cancer among women in developing countries. Implementing tailored activities, such as educational programs, preventive services, and investments in healthcare infrastructure, particularly at the administrative units’ level, can help in reducing health disparities and improving health outcomes.

Mental health is deteriorating quickly and significantly globally post-COVID. Though there were already over 1 billion people living with mental disorders pre-pandemic, in the first year of COVID-19 alone, the prevalence of anxiety and depression soared by 25% worldwide. In light of the chronic shortages of mental health provider and resources, along with disruptions of available health services caused by the pandemic and COVID-related restrictions, technology is widely believed to hold the key to addressing rising mental health crises. However, hurdles such as fragmented and often suboptimal patient protection measures substantially undermine technology's potential to address the global mental health crises effectively, reliably, and at scale. To shed light on these issues, this paper aims to discuss the post-pandemic challenges and opportunities the global community could leverage to improve society's mental health en masse.

Hydropower is the world's most exploited renewable energy source. It provides a substantial, flexible, and reliable source of renewable energy, complementing other renewables like solar and wind power. Besides conventional hydropower potentials and technologies, the development of technologies for the exploitation of hidden hydropower potentials is an ongoing process. This paper presents the current state of hidden hydropower technologies and links them with possible applications in different hydropower potentials. Technologies and potential applications are structured within three main groups (pressurized systems, hydro storage, unpressurized systems), with their mutual interconnections analysed and displayed throughout the paper. The opportunity for the application of hidden hydropower technologies in different roles within the energy system is recognized through the concepts of off- and on-grid roles, the prosumer concept, and on-site measurement powering. This paper shows that hidden hydropower technologies could emerge as significant contributors to a smoother energy transition, especially with the prosumer and off-grid concepts.

Floating Modular Energy Islands (FMEIs) are modularized, interconnected floating structures that function together to produce, store, possibly convert and transport renewable energy. Recent technological advancements in the offshore energy sector indicate that the concept of floating offshore energy islands has the potential to become more cost-effective and more widespread than previously anticipated. This review is specifically meant as a basis for the development of new approaches to the sustainable exploitation of multi-energy sources in the offshore environment leveraging the know-how of existing technologies and, at the same time, exploring new solutions for the specific challenges of FMEIs. The paper critically analyzes the current state of data-driven approaches and structural health monitoring techniques in the offshore energy sector. It also covers topics such as met-ocean data, loads estimation, platform dynamics, coupling actions, nonlinear dynamics of mooring lines, modelling considerations, and control of electrical subsystems. It is believed that this systematic and multidisciplinary review will facilitate synergies and further enhance research and development of offshore renewable energies.

Currently, there is significant effort worldwide in the research and development of <inline-formula><tex-math notation="LaTeX">$\mathrm{{SF}}_{6}$</tex-math></inline-formula>-free high-voltage circuit breakers, both in academia and industry. One of the most important switching capabilities is thermal current interruption, a process that, in modern self-blast breakers, strongly depends on the coupled effects of nozzle geometry, nozzle ablation, backheating, pressure build-up and gas outflow, as well as contact and puffer cylinder motion actuated through the drive. Previously published investigations on the thermal interruption performance of novel switching gases have used such designs, however, due to the many coupled processes, it is not possible to control the interruption conditions in order to make a full and comparative evaluation of different <inline-formula><tex-math notation="LaTeX">$\mathrm{{SF}}_{6}$</tex-math></inline-formula> alternative gas mixtures. The aim of the present contribution is to present an experimental circuit breaker tailored for use in basic experiments that allow for an unbiased comparison of properties of alternative gas mixtures relevant for current interruption. The breaker is based on a novel puffer design with an overpressure relief valve that allows the contact stroke and blow pressure to be predicted, controlled and adjusted over a wide parameter range at current zero. This contribution lists the requirements for such an experimental circuit breaker and focuses on its design realization. Experimental validation is given that this device can be used in benchmarking the interruption characteristics of <inline-formula><tex-math notation="LaTeX">$\mathrm{{SF}}_{6}$</tex-math></inline-formula> alternatives. Systematic comparison of the thermal interruption performance of <inline-formula><tex-math notation="LaTeX">$\mathrm{{SF}}_{6}$</tex-math></inline-formula> alternatives and investigations of the processes around current zero will be reported in other publications.

Postmortem biochemistry is a valuable tool in forensic investigations, providing insights into the tissue damage and organ dysfunction associated with death. This study aimed to identify biochemical markers that distinguish primary and secondary hypothermia. Twenty-one Wistar rats were allocated into three groups: the Control group (n = 7), which was exposed only to hypothermic conditions, the Alcohol + Hypothermia group (n = 7), and the Benzodiazepines + Hypothermia group (n = 7). The temperature metrics assessed included the normal core temperature, the post-ketamine (0.3 ml injection) core temperature, the immersion temperature, temperature at the onset of hypothermia, and temperature at death. Blood samples were collected from the thoracic aorta in EDTA vacuum tubes for biochemical analysis. The key biochemical parameters measured included the Total Protein (g/L), Albumin (g/L), Globulin (g/L), Albumin to Globulin Ratio, Alanine Aminotransferase (U/L), Alkaline Phosphatase (U/L), Cholesterol (mmol/L), Amylase (U/L), and Lipase (U/L), using an automated IDEXX (Netherlands) cell counter. Significant between-group differences were found for the total protein and globulin levels (p < 0.001 and p = 0.002, respectively), with post-hoc tests confirming differences between the alcohol and control, and benzodiazepine and control groups. The cholesterol levels were found to be significantly different through an omnibus test (p = 0.03), but post hoc tests did not confirm these differences on a statistically significant level. The amylase levels varied significantly across all groups (p < 0.001), with post hoc tests confirming significant differences among all pairs: alcohol vs. benzodiazepine (p = 0.002), alcohol vs. control (p = 0.003), and benzodiazepine vs. control (p < 0.001). The lipase levels showed significant differences in the omnibus test (p = 0.030), but there was no significance in the post hoc tests. Amylase emerged as the most significant parameter in our study, with reduced levels strongly associated with secondary hypothermia. These findings highlight the potential use of total protein, globulin, and amylase levels as biomarkers to differentiate between primary and secondary hypothermia in forensic contexts.

Random sequential adsorption (RSA) is a broadly used model for irreversible deposition on substrates. Over the last decades, a huge number of works have been published concerning this topic. Here we give a brief review of the results for irreversible deposition on two-dimensional discrete substrates. Depositing objects are randomly and sequentially adsorbed onto the substrate, and they are not allowed to overlap, so the jamming coverage θ j a m is less than in close packing. The kinetics of the process is described by the time-dependence of the coverage fraction θ ( t ) , and for the discrete substrates, this dependence was found to be of the form: θ ( t ) = θ j a m − A e − t / σ . Another topic of interest is the percolation of the deposit that can occur at a certain coverage. The coverage of the surface is increased through the RSA process up to the percolation threshold when a cluster that extends through the whole system appears. A percolating cluster arises in the system when the opposite edges are connected via some path of nearest neighbor sites occupied by the particles. Studying percolation is of great interest due to its relevance to conductivity in composite materials, flow through porous media, polymerization, the properties of nanomaterials, etc.

Red fox, Vulpes vulpes, is a globally distributed species characterized by its high adaptability to diverse habitats and a broad range of food resources. This remarkable adaptability has allowed the red fox to thrive in various environments, from urban areas to remote wilderness. In this study, we used a set of microsatellite markers for the comparative genetic analysis of red fox populations from two countries. We included populations from the Eastern Alps and the northern Dinaric Mountains in Slovenia, as well as the Central Dinaric Mountains in Bosnia and Herzegovina. We successfully isolated DNA and genotyped 118 red fox samples. Our analyses, which included Bayesian clustering techniques, revealed a weak genetic differentiation among the studied populations. However, it is noteworthy that statistically significant differences in estimates of genetic differentiation were only apparent when comparing the populations between the two countries. Further spatial genetic clustering analyses provided additional insights, unveiling a differentiation into four genetic clusters. These clusters comprised two distinct groups in Bosnia and Herzegovina and two in Slovenia. This pattern of differentiation suggests that isolation by distance is a key factor influencing the genetic structure of the red fox in this studied region. Additionally, our findings highlighted that populations from the Alps and northern Dinaric Mountains exhibit higher genetic diversity and observed heterozygosity compared to their counterparts in the Central Dinaric Mountains. The genetic diversity is also notable when compared to other European red fox populations. Studying genetic diversity is crucial for the resilience and adaptability of populations, ensuring their survival amid environmental changes and human-induced pressures.

Hearing impairment alters the sound input received by the human auditory system, reducing speech comprehension in noisy multi-talker auditory scenes. Despite such difficulties, neural signals were shown to encode the attended speech envelope more reliably than the envelope of ignored sounds, reflecting the intention of listeners with hearing impairment (HI). This result raises an important question: What speech-processing stage could reflect the difficulty in attentional selection, if not envelope tracking? Here, we use scalp electroencephalography (EEG) to test the hypothesis that the neural encoding of phonological information (i.e., phonetic boundaries and phonological categories) is affected by HI. In a cocktail-party scenario, such phonological difficulty might be reflected in an overrepresentation of phonological information for both attended and ignored speech sounds, with detrimental effects on the ability to effectively focus on the speaker of interest. To investigate this question, we carried out a re-analysis of an existing dataset where EEG signals were recorded as participants with HI, fitted with hearing aids, attended to one speaker (target) while ignoring a competing speaker (masker) and spatialised multi-talker background noise. Multivariate temporal response function (TRF) analyses indicated a stronger phonological information encoding for target than masker speech streams. Follow-up analyses aimed at disentangling the encoding of phonological categories and phonetic boundaries (phoneme onsets) revealed that neural signals encoded the phoneme onsets for both target and masker streams, in contrast with previously published findings with normal hearing (NH) participants and in line with our hypothesis that speech comprehension difficulties emerge due to a robust phonological encoding of both target and masker. Finally, the neural encoding of phoneme-onsets was stronger for the masker speech, pointing to a possible neural basis for the higher distractibility experienced by individuals with HI.

BACKGROUND The development and progression of prostate cancer are multistep processes involving several growth factors, hormones, and cytokines. This study aimed to measure the serum concentrations of different cytokines and determine their correlation with prostate-specific antigen (PSA) levels and disease grade in patients with prostate adenocarcinoma. MATERIAL AND METHODS This cross-sectional study was conducted from March 2023 to March 2024 at the Clinic of Oncology of the University Hospital Center in Mostar, Bosnia and Herzegovina. Altogether, 50 male patients with prostate adenocarcinoma were included, of whom 28 had no proven metastases (PC group) and 22 had metastatic disease (MPC group). Serum concentrations of total (tPSA), free (fPSA), and complexed (cPSA) PSA were determined using a chemiluminescent microparticle immunoassay, whereas serum concentrations of cytokines were measured using a flow cytometry bead-based assay. RESULTS The MPC group had higher serum tPSA, fPSA, and cPSA levels than the PC group. The PC group had significantly higher serum levels of monocyte chemotactic protein (MCP)-1 than the MPC group (P=0.008). In the PC group, serum levels of interleukin (IL)-10 significantly correlated with cPSA. In the MPC group, serum concentrations of IL-1ß, tumor necrosis factor (TNF)-alpha, and IL-23 significantly correlated with disease grade. CONCLUSIONS Our study emphasizes the importance of MCP-1 in the development of prostate cancer, while IL-10 was the only cytokine whose serum level significantly correlated with cPSA. Serum concentrations of IL-1ß, TNF-alpha, and IL-23 may serve as potential biomarkers for disease grade.

The paper explains the phenomenon of creativity through various implicit and explicit definitions and three theories of education through the most important characteristics of the theories and their most significant representatives. With the aim of better familiarization with the concept of creativity, the „position" of creativity in the critical-rationalist empirical, critical and spiritual theory of education is explained, and the understanding of creativity through the areas of the aforementioned theories of education is presented. The paper presents the relationship between pedagogy and creativity and highlights the importance of creativity in the field of teaching work. The need for creativity in educational work and the importance of developing creativity in that context and in the teaching of foreign languages were especially discussed. Given that educational theories talk about the empirical justification of pedagogical facts through critical-rationalist empirical theory, then about the developmental aspects of society and the way society influences scientific knowledge through critical theory and the understanding of human activity through spiritual scientific theory, it is justified to talk about the representation of creativity in the areas of activity of all three educational theories.