Diabetes mellitus is a complex, multifactorial, progressive condition with a variety of approved therapeutic options. The purpose of this study was to offer an overview of the authorized antidiabetic medicines (excluding insulin) compared with marketed products in seven European countries. Data were obtained from primary sources, including the websites of national authorities and directly from specialists in the countries of interest. The range of marketed medicines compared with the authorized group was assessed in terms of active pharmaceutical ingredients (>60% in Bulgaria, France, Serbia), brand names (>70% in Bulgaria, the Czech Republic, Romania, Serbia, Spain), pharmaceutical forms (>60% in all countries), strengths (>60% in Bulgaria, the Czech Republic, Romania, Serbia, Spain), marketing authorization holder (≥50% in all countries) and the status of medicine. Spain was found to have the highest number of products based on most of these attributes. Over 90% of authorized medicines had a pharmacy price in Serbia. Regarding the newer class of GLP-1 receptor agonists, a retail price for all approved substances was available in Bulgaria, Romania, Serbia, and Spain. Only one brand name with one concentration was found available for some agents, being susceptible to drug shortages: glibenclamide (Romania, Serbia, Spain), glipizide (the Czech Republic, Poland, Romania, Spain), glisentide (Spain), acarbose (the Czech Republic), sitagliptin (Bulgaria, Poland), vildagliptin (the Czech Republic, Poland) and saxagliptin (the Czech Republic, France, Romania, Serbia). An overview of the national and international therapeutic options may allow competent authorities and health professionals to take rapid measures in case of supply problems or health crises.

Abstract OBJECTIVES To overcome some of the challenges of endoscopic minimally invasive valve surgery, an automated annular suturing device has been used in aortic and mitral valve replacement surgeries. The current study investigates early clinical outcomes of patients who received aortic or mitral valve replacement with the help of the RAM® device as first experiences in minimally invasive valve surgery. METHODS Between September 2020 and June 2023, 66 consecutive patients (mean age 61.8 ± 11 years) underwent endoscopic minimally invasive aortic or mitral valve replacement through right anterior mini-thoracotomy at 2 cardiac surgery referral centres in Germany. The RAM® device was used in all Patients. 3.5 and 5.0 sizes were used in 16.7% and 83.3% of patients, respectively. Aortic, mitral and double valve surgery was performed in 81.8%, 15.2% and 1.5% of patients, respectively. Clinical data were prospectively entered into our institutional database. RESULTS Cardiopulmonary bypass time and cross-clamping time were 97.9 ± 20.9 and 66 ± 15.7 min, respectively. Intensive care unit and hospital stays were 1 [1–2] and 9 [7–13] days, respectively. No paravalvular leak and no other intraoperative complications occurred. 30-day and in-hospital mortality were zero. Conversion to sternotomy occurred in 1 (1.5%) patient due to bleeding. CONCLUSIONS The usage of the RAM® device is a safe, feasible and effective approach to the endoscopic implantation of aortic or mitral valves and yield excellent early outcomes. Larger size studies are needed to evaluate the efficacy and safety of RAM® device.

Abstract This paper presents a detailed model of low-frequency oscillations and their damping within the Electric Power System (EPS) of Bosnia and Herzegovina (B&H). The system is modeled using MATLAB software, analysing the steady state and dynamic responses. This research highlights the challenges and impacts of integrating renewable energy sources, such as wind farms, on grid stability and oscillation damping. The paper utilizes eigenvalue analysis to investigate the dynamic characteristics of the system, emphasizing the need for efficient damping strategies to maintain system stability. The methodology includes a comprehensive review of existing literature, the creation of a detailed EPS model of B&H, and the application of eigenvalue and oscillation amplitude analysis to determine damping ratios. The dynamic responses of hydro power plants, HPP Mostar and HPP Jablanica, to transient disturbances are analysed to validate the model and refine damping strategies. The results indicate that the B&H EPS is well-damped, with all eigenvalues possessing negative real parts, and demonstrate the system’s resilience to small disturbances. The results are compared with the technical report on the integration of the wind power plant WPP Podveležje. This comparative analysis shows consistent patterns between the modeled calculations and empirical data, confirming the robustness of the EPS model. This alignment underscores the effectiveness of current damping mechanisms and provides a foundational strategy for enhancing system stability with increasing renewable energy penetration. The findings highlight the importance of developing advanced control strategies to sustain system stability as the integration of variable renewable energy sources continues to grow.

Background: Severe coagulation abnormalities are common in patients with COVID-19 infection. We aimed to investigate the relationship between pro-inflammatory cytokines and coagulation parameters concerning socio-demographic, clinical, and laboratory characteristics. Methods: Our study included patients hospitalized during the second wave of COVID-19 in the Republic of Serbia. We collected socio-demographic, clinical, and blood-sample data for all patients. Cytokine levels were measured using flow cytometry. Results: We analyzed data from 113 COVID-19 patients with an average age of 58.15 years, of whom 79 (69.9%) were male. Longer duration of COVID-19 symptoms before hospitalization (B = 69.672; p = 0.002) and use of meropenem (B = 1237.220; p = 0.014) were predictive of higher D-dimer values. Among cytokines, higher IL-5 values significantly predicted higher INR values (B = 0.152; p = 0.040) and longer prothrombin times (B = 0.412; p = 0.043), and higher IL-6 (B = 0.137; p = 0.003) predicted longer prothrombin times. Lower IL-17F concentrations at admission (B = 0.024; p = 0.050) were predictive of higher INR values, and lower IFN-γ values (B = −0.306; p = 0.017) were predictive of higher aPTT values. Conclusions: Our findings indicate a significant correlation between pro-inflammatory cytokines and coagulation-related parameters. Factors such as the patient’s level of education, gender, oxygen-therapy use, symptom duration before hospitalization, meropenem use, and serum concentrations of IL-5, IL-6, IL-17F, and IFN-γ were associated with worse coagulation-related parameters.

Over the past 30 years, forensic experts from Croatia and Bosnia and Herzegovina have embraced advanced technologies and innovations to enable great efficacy and proficiency in the identification of war victims. The wartime events in the countries of former Yugoslavia greatly influenced the application of the selected DNA analyses as routine tools for the identification of skeletal remains, especially those from mass graves. Initially, the work was challenging because of the magnitude of the events, technical aspects, and political aspects. Collaboration with reputable foreign forensic experts helped tremendously in the efforts to start applying DNA analysis routinely and with increasing success. In this article, we reviewed the most significant achievements related to the application of DNA analysis in identifying skeletal remains in situations where standard identification methods were insufficient.

Due to its turbulent demographic history, marked by extensive settlement and gene flow from diverse regions of Eurasia, Southeastern Europe (SEE) has consistently served as a genetic crossroads between East and West and a junction for the migrations that reshaped Europe’s population. SEE, including modern Croatian territory, was a crucial passage from the Near East and even more distant regions and human populations in this region, as almost any other European population represents a remarkable genetic mixture. Modern humans have continuously occupied this region since the Upper Paleolithic era, and different (pre)historical events have left a distinctive genetic signature on the historical narrative of this region. Our views of its history have been mostly renewed in the last few decades by extraordinary data obtained from Y-chromosome studies. In recent times, the international research community, bringing together geneticists and archaeologists, has steadily released a growing number of ancient genomes from this region, shedding more light on its complex past population dynamics and shaping the genetic pool in Croatia and this part of Europe.

Aim: To assess Red blood cell Distribution Width (RDW) and platelet indices values in patients with type 2 diabetes mellitus (T2DM) and to verify its association with kidney dysfunction (KD). Patients and Methods: A cross-sectional study included 149 T2DM subjects divided into two groups with (T2DM – KD; n=52) and without (T2DM-nKD; n=97) presence of kidney dysfunction and 30 healthy subjects. White Blood Cells (WBC) count, C-reactive protein (CRP), fibrinogen, RDW, platelet indices, urea, and creatinine, were measured in all participants. Kidney function was evaluated by the estimated glomerular filtration rate (eGFR) calculated using the simplified Modification of Diet in Renal Disease (MDRD) formula. Results: T2DM-KD subjects showed statistically significantly higher values of the parameters RDW (p<0.01), Mean Platelet Volume - MPV (p<0.01), Platelet Distribution Width-PDW (p<0.01), Platelecrit-PCT (p<0.01), and Platelet Mass Index-PMI (p<0.01) compared to T2DM-nKD subjects, and statistically significantly lower values of the WBC count in T2DM-KD subjects compared to subjects suffering from T2DM without kidney dysfunction (p<0.01). ROC curve analysis revealed that RDW (sensitivity of 80.8%, specificity of 78.3%), MPV (sensitivity of 75%, specificity of 78.4 %), and PDW (sensitivity of 80.8%, specificity of 83.5%) could be used as markers in distinguishing between T2DM subjects with and without kidney dysfunction. Conclusion: This study confirms the reliability of the RDW,MPV, and PDW as simple, low cost and useful markers in distinguishing between T2DM subjects with and without kidney dysfunction.

Abstract This paper presents an artificial neural network (ANN) based method for overhead lines magnetic flux density estimation. The considered method enables magnetic flux density estimation for arbitrary configurations and load conditions for single-circuit, multi-circuit, and also overhead lines that share a common corridor. The presented method is based on the ANN model that has been developed using the training dataset that is produced by a specifically designed algorithm. This paper aims to demonstrate a systematic and comprehensive ANN-based method for simple and effective overhead lines magnetic flux density estimation. The presented method is extensively validated by utilizing experimental field measurements as well as the most commonly used calculation method (Biot - Savart law based method). In order to facilitate extensive validation of the considered method, numerous magnetic flux density measurements are conducted in the vicinity of different overhead line configurations. The validation results demonstrate that the used method provides satisfactory results. Thus, it could be reliably used for new overhead lines’ design optimization, as well as for legally prescribed magnetic flux density level evaluation for existing overhead lines.

Halogenated boroxine K2[B3O3F4OH] (HB), an inorganic derivative of cyclic anhydride of boronic acid, is patented as a boron-containing compound with potential for the treatment of both benign and malignant skin changes. HB has effectively inhibited the growth of several carcinoma cell lines. Because of the growing interest in autophagy induction as a therapeutic approach in bladder carcinoma (BC), we aimed to assess the effects of HB on metabolic phenotype and autophagy levels in 5637 human bladder carcinoma cells (BC). Cytotoxicity was evaluated using the alamar blue assay, and the degree of autophagy was determined microscopically. Mitochondrial respiration and glycolysis were measured simultaneously. The relative expression of autophagy-related genes BECN1, P62, BCL-2, and DRAM1 was determined by real-time PCR. HB affected cell growth, while starvation significantly increased the level of autophagy in the positive control compared to the basal level of autophagy in the untreated negative control. In HB-treated cultures, the degree of autophagy was higher compared to the basal level, and metabolic phenotypes were altered; both glycolysis and oxidative phosphorylation (OXPHOS) were decreased by HB at 0.2 and 0.4 mg/mL. Gene expression was deregulated towards autophagy induction and expansion. In conclusion, HB disrupted the bioenergetic metabolism and reduced the intracellular survival potential of BC cells. Further molecular studies are needed to confirm these findings and investigate their applicative potential.

Abstract In times when AI’s development and research is moving at an unprecedented speed, this paper explores its role in retail banking. The results presented are part of a wider research of market readiness and AI acceptance, especially in developing economies. The research was conducted in Bosnia and Herzegovina (B&H). The quantitative portion consisted of a survey completed by 671 respondents. This paper focuses on the influence of social factors (perceived humanness, perceived social interactivity, and perceived social presence) on the attitudes towards – and subsequently acceptance of - AI-based services. Chatbots, specifically ChatGPT-4, were the technology the research focused on. The results indicate that perceived humanness and perceived social interactivity have a positive effect on attitudes – and acceptance – of AI-based services. This research could not prove that there is a positive relationship between social presence and attitudes towards AI-based services. The positive relationship between attitude and acceptance was proven as well.

Abstract Voltage unbalance and voltage variations are common issues in low voltage distribution networks caused by unbalanced connection of single-phase loads and electric vehicles (EVs) among phases. Part of the real low voltage grid in Bosnia and Herzegovina, in the vicinity of the town of Tešanj, was analysed. The impact on single-phase consumer and single-phase EVs penetration was analysed. The grid was modelled using DIgSILENT PowerFactory software. Three cases of the distribution of consumers by phases were analysed. Each of the three cases is expanded with four scenarios depending on the penetration of EV into the grid. Results showed that none of the twelve scenarios remained within the permissible limits of −10% voltage variation limit of EN 50160 for phase A. Seven of the twelve scenarios exceeded voltage unbalance limits +2% according to EN 50160.

Introduction: Despite ongoing findings on the relationship between liver fibrosis in nonalcoholic fatty liver disease (NAFLD) and metabolic syndrome (MetS), this association in diabetic patients remains unclear. Early diagnosis of liver fibrosis is important due to the easily available diagnostic tools, such as noninvasive indices that combine clinical and laboratory variables, and the possibility of preventing its complications in type 2 diabetes mellitus (T2DM) patients with MetS. Objective: This study examines the potential predictive values of non-invasive liver fibrosis indices for MetS in T2DM patients. Patients and methods: Over the course of a two-year prospective, observational, clinical study, 80 individuals with T2DM randomly selected from the Diabetes Counseling Centers of the Public Institution Health Center of Sarajevo Canton were divided into two groups: T2DM-MetS and T2DM-non-MetS, based on the development of MetS. The study included individuals with T2DM aged 30 to 60 who were clinically diagnosed without MetS, voluntarily agreed to participate, and provided complete data in the collection forms. Serum samples from the patients were assessed for levels of liver enzymes, platelet counts, total cholesterol, high-density lipoprotein cholesterol, fasting glucose, and triglycerides. Various equations were utilized to calculate liver fibrosis indices, including the Aspartate Aminotransferase to Platelet Ratio Index (APRI), Aspartate Aminotransferase to Gamma-Glutamyl Transferase to Platelet Ratio (AGPR), Aspartate Aminotransferase to Alanine Aminotransferase Ratio to Platelet Ratio Index (AARPRI), Fibrosis-4 (FIB-4) Index, Forns Index, and Gamma-Glutamyl Transpeptidase to Platelet Ratio (GPR). Receiver operating characteristic (ROC) analysis was utilized to determine the usefulness of noninvasive liver fibrosis indices for diagnosing MetS in individuals with T2DM. Logistic regression analysis was used to predict the onset of MetS in T2DM patients. Results: Significant differences in the values of APRI (p<0.001), AGPR (p<0.05), AARPRI (p<0.001), and the FIB-4 index (p=0.001) were observed in T2DM-MetS individuals compared to T2DM-non-MetS. According to ROC analysis, the area under the curve (AUC) was found to be highest for APRI (0.84), followed by FIB-4 (0.783) and AARPRI (0.747). Logistic regression analysis identified APRI as an independent positive predictor of MetS (OR 18.179, 95% CI 6.035-24.58, p=0.015). Conclusion: This research highlights the effectiveness of the APRI index as a reliable predictor of MetS development in individuals with T2DM.