The paper aims to explore the impact of state audits of grants in the public sector on reducing non-compliance with legal regulations. The research was conducted over a ten-year period among federal and cantonal ministries in the Federation of Bosnia and Herzegovina (FBiH) responsible for planning and distributing grant funds as part of their regular duties. The research results show that the total number of recommendations given during the observed 10-year period was 1,666, including: 245 recommendations related to grant planning, 684 recommendations related to the distribution of grant funds, 554 recommendations concerning the oversight of the designated expenditure of allocated funds, 74 recommendations concerning grant implementation reporting, and 109 recommendations regarding the accuracy of accounting records. During the observed ten-year period, the number of recommendations decreased by 75%. The research results also indicate that the adoption of stricter guidelines for grant management has a strong impact on reducing the number of identified irregularities. The paper also presents an analysis of the most common causes of irregularities. The results of the conducted research will contribute to filling the literature gap on the importance of grant audits, the most common causes of identified irregularities, and the significance of stricter legal regulations and clearer rules related to grant management.

Soybean yield potential is strongly impacted by environmental conditions. Soybean yield variability could be explained by climatic variables. Choice of tolerant varieties adapted to different limited environmental conditions could be used as adaptive strategies to sustain the development of soybean areas. Three soybean varieties with high seed and oil content (Balkan, Novosađanka and Vojvođanka) were analyzed in three localities of Vojvodina Province in Serbia: Novi Sad (45°20′00″ S; 19°51′00″), Pančevo (44°52′15″ S; 20°38′51″) and Laćarak (44°59′45″ S; 19°34′03″). The highest yield of the three examined soybean varieties was shown by Vojvođanka (3365.0 kg ha-1), whereas the statistically highest yield was in 2010 (4301.1 kg ha-1) in the investigated period (2006-2011). All three varieties gave the lowest seed yield at the Pančevo locality, due to the deficit of precipitation and lower content of humus in the soil. The oil content in the seeds was also influenced by all three examined factors. The soybean varieties Vojvođanka and Balkan had statistically higher oil content than Novosađanka. The agroecological and soil conditions of Novi Sad were the most suitable for the synthesis of oil in the seeds of all genotypes. Oil content was statistically highest in 2010 (22.31%) compared to all tested years. The analysis has shown that Vojvođanka was the most promising of all soybean’s varieties.

Arsenic concentration in seafood could potentially reach very high levels and represent a significant health risk for humans. In this study, the concentration of arsenic in various seafood: crabs (shrimp, prawns), molluscs (mussels), and cephalopods (squid) available both fresh on the market and frozen in supermarkets in Sarajevo, Bosnia and Herzegovina were determined by the electrothermal atomic absorption spectrometry (ETAAS). The results obtained using different matrix modifiers: Mg(NO3)2, Ni(NO3)2, Pd(NO3)2, and mixture Pd(NO3)2 + Mg(NO3)2 were compared. The best recovery rate of 98.4 % arsenic for the reference material ERM-CE278k, was achieved after the addition of the mixture Pd(NO3)2 + Mg(NO3)2 . The mean arsenic concentrations were 1.551 ? 0.836 mg kg-1 1.298 ? 0.410 mg kg-1, and 2.794 ? 0.958 mg kg-1 for crustaceans, molluscs and cephalopods, respectively, by using mixture Pd(NO3)2 + Mg(NO3)2 as matrix modifier. Arsenic concentrations in the same sample measured using different matrix modifiers varied widely, even above 70 %. With the current consumption rate of seafood products, both cancerogenic and non-cancerogenic risks associated with exposure to arsenic through seafood are very low for the residents of Bosnia and Herzegovina.

Providing an objective ranking of scientists based on their merit is a rather challenging task. Numerous factors complicate this endeavor, raising difficult questions about how such evaluations should be conducted. The goal of the present paper is to introduce a new measure for evaluating researchers’ performance, the Performance Impact Score (PIS), which combines both productivity and research impact. In this study, I compared the PIS with h-index scores for 108 researchers at the University of Sarajevo. More specifically, I examined the overlap between the top 20 researchers according to the PIS and the top 20 researchers according to Web of Science, Google Scholar, and SCOPUS h-indexes. The concordance rate was 65% for Google Scholar and Web of Science, and 55% for SCOPUS. The analysis highlights the importance of considering both productivity and impact when evaluating researchers’ rankings. It is also evident that the top 20 researchers vary across different metrics. The results further demonstrate that creating a fair and just ranking system requires going beyond the data available in bibliometric databases, particularly in cases where researchers rank highly by one metric but perform poorly when evaluated by another.

he study aims to assess the capability of various data mining techniques in detecting inaccurate financial statements of government-owned enterprises operating in the Federation of Bosnia and Herzegovina (FBiH). Inaccurate financial statements indicate potential financial fraud. Prediction models of four classification algorithms (J48, KNN, MLP, and BayesNet) were examined using a dataset comprising 200 audited financial statements from government-owned enterprises under the supervision of the Audit Office of the Institutions in the Federation of Bosnia and Herzegovina. The results obtained through data mining analysis reveal that a dataset encompassing seven balance sheet items provides the most comprehensive depiction of financial statement quality. These seven attributes are: opening entry of accounts receivable, profit (loss) at the end of the period, operating assets at the end of the period, accounts receivable at the end of the period, opening entry of operating assets, short term financial investments at the end of the period, and opening entry of short-term financial investments. By employing these seven attributes, the MLP algorithm was implemented to construct the most precise predictive model, achieving a 76% accurate classification rate for financial statements. Leveraging the identified attributes, a mathematical model could potentially be formulated to effectively predict financial statements of government-owned enterprises in FBiH. This, in turn, could considerably facilitate the process of selecting GOEs for inclusion in the annual work plan of state auditors. Presently, due to resource constraints, government-owned enterprises in FBiH do not undergo regular annual scrutiny by state auditors, with only 10 to 15 such enterprises being subject to audits each year. The results of this research can also be beneficial to both the public and the Financial Intelligence Agency in the FBiH. The paper contributes to filling the gap in the literature regarding the applied methodology, particularly in the part concerning the attributes used in the research.

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/Aim. Rheumatoid arthritis (RA) is a systemic autoimmune disease that can cause destructive joint disease and progressive disability. The diagnosis of RA is based on laboratory and clinical evidence, which includes the analysis of inflammatory markers, hematological, and biochemical parameters. Methods. Fifty patients diagnosed with RA without methotrexate (MTX) therapy and 50 patients with therapy (MTX, 7.5 mg/week; after three months prednisolone 10 mg/day) were included in this study. After six months of therapy, inflammatory biomarkers, hematological, and biochemical parameters were analyzed. Results. Inflammatory biomarkers: sedimentation rate (SE), C-reactive protein (CRP), and anti-cyclic citrullinated peptide (anti-CCP) are significantly lower in the group of patients on therapy compared to patients without MTX therapy. Significant differences were not found for the rheumatoid factor (RF). Significant differences were not found for hematological parameters between the compared groups. Analysis of serum biochemical parameters showed significant differences for aspartate aminotransferase (AST) and iron values. In patients without MTX therapy, the incidence of anemia was recorded in 68%, which is significantly higher than the incidence of 32% in patients with therapy. Conclusion. Prescribed therapy has shown effectiveness in the treatment of RA and reduction of the inflammatory process. The success of the treatment depends on the timely diagnosis of RA. Postponement of therapy and late-detected disease prolongs therapy treatment and often requires a combination of several drugs.

The critical role of high-voltage circuit breakers in the power grid underscores the need for reliable and efficient methods to assess their condition and operational parameters. To support the integration of smart grid concepts and enable condition assessment during circuit breaker exploitation, non-invasive approaches are essential. Among these, methods leveraging vibration fingerprints generated during the opening or closing of circuit breakers have shown significant promise. This paper presents a comprehensive survey of state-of-the-art research in this area, systematically analyzing over 100 influential works from the past two decades. The survey categorizes these methods based on their domain-specific approaches and highlights key challenges related to signal analysis, data acquisition, feature extraction, interpretation, and reasoning. By offering a structured analysis, this survey serves as a valuable resource for researchers and practitioners, providing insights and direction for future advancements in this niche field.

Red clover is an important perennial fodder plant for the production of quality fodder. Since it can be successfully produced even on soils of poorer quality, it is increasingly present in the sowing structure, primarily in hilly and mountainous areas. Trials were carried out on eight genotypes of red clover over several years. There were no significant differences between the average values of stem thickness and plant height of the two first cuttings from the two experimental years. The first cutting of the second year had the highest height (80.0 cm). Genotype 1 had the highest average height (78.0 cm) and leaflet length (45.52 mm). Genotype 6 had the lowest average plant height (74.0 cm), number of stems (7.15), stem thickness (3.31 mm) and leaflet length (36.68 mm). Genotypes 6 and 8 had the widest leaflet in the first cut of the second year of testing (28.94 and 28.93 mm). Aside from plant height, no significant differences were found between the genotypes. Nevertheless, all other examined variables showed statistically significant differences across clover cuttings and genotypes. The average values of the number of stems per plant, the length and width of leaflet in the first clover cut of the first year, and second clover cut of the second year were not statistically significantly different. Red clover is most productive in the first cutting of the second year of life, as confirmed by these investigations, which yielded the greatest values for the majority of the investigated features.

Background: Gentamicin is a potent, broad-spectrum aminoglycoside antibiotic used in the treatment of many infections. Gentamicin can induce hepatotoxicity through oxidative stress and apoptosis. Since melatonin has antioxidant properties, its protective effects on liver tissue damage were evaluated in this study. Objective: The aim of this study was to conduct our investigation to assess the hepatoprotective effects of melatonin in rats treated with gentamicin. Methods: Forty eight adult male Wistar rats were used. The animals were randomly distributed into six groups of equal size. During the period of 11 days, three control groups of rats were daily injected i.p. with the vehicle or with melatonin at a dose of 5 or 10 mg/kg. The gentamicin group was injected with gentamicin at a dose of 80 mg/kg during 8 days and vehicle for 11 days. The other two experimental groups were administered gentamicin (80 mg/kg during) 8 days and melatonin (doses of 5 and 10 mg/kg) 3 days before and 8 days concomitantly with melatonin. Obtained liver sections were analyzed using qualitative, semi-quantitative, and stereological analysis. Results: Gentamicin expressed hepatotoxic effects inducing congestion of lobular blood vessels, hydropic degeneration of periportal hepatocytes and mononuclear infiltration in the portal tract. Treatment with gentamicin resulted in an increase in the Vv of blood vessels, a decrease in the Vv of hepatocytes, and a decrease in the glycogen content in all three lobular zones. Melatonin administration reduced the liver alterations induced by gentamicin; the higher dose had a more potent protective effect. Conclusion: Melatonin has a beneficial effect on gentamicin-induced liver damage and the effect is dose-dependent.

Kupres cheese is hard, full-fat cheese made at Kupres plateau, rich in pastures region of Bosnia and Herzegovina. In last decades this cheese became popular among consumers and known by its quality which was proven by manny awards and recognitions obtained at exibitions and fairs in wider region. While its technology, chemical composition and sensory quality are already described in some paper’s articles data on its physical properties related to sensory profile are yet scarce. Thus, the aim of this work is to give an overwiev of the history data, chemical and sensory features with emphasize to new results on physical properties of Kupres cheese and their connection with sensory quality.

Background: Postoperative atrial fibrillation (POAF) is the most common complication after cardiac surgery, increasing morbidity, ICU stay, dialysis need, hospitalization length, and costs. Despite prophylactic strategies, POAF incidence remains high, especially in moderate and high risk patients. Objective: To assess the effect of amiodarone on POAF incidence and onset timing in moderate and high risk patients. Methods: This prospective observational study included 454 patients undergoing elective coronary artery bypass grafting (CABG). Risk stratification of patients was based on the McSPI AFRisk Index, compared with the POAF Score and CHA2DS2-VASc Score. Moderate and high risk patients received amiodarone in combination with beta blockers (Amiodarone group), while low risk patients received beta blockers only. The primary outcome was POAF incidence, analyzed via Kaplan-Meier and Cox regression. Secondary analysis compared POAF rates between groups using the χ2 test. Results: POAF occurred in 5.95% of the Amiodarone group versus 9.25% in the beta blocker group (overall incidence: 15.2%). The relative risk reduction was 27% (RR = 0.27, 95% CI = 0.105-0.689, p = 0.006). POAF incidence was significantly lower in the Amiodarone group (p = 0.008, χ2 test). Kaplan-Meier analysis showed delayed POAF onset in the Amiodarone group (median: 48h vs. 33h, p = 0.0007). Cox regression confirmed a 73% lower risk of early POAF (HR = 0.27, 95% CI = 0.105-0.689, p = 0.006). Conclusion: Amiodarone combined with beta blockers reduces POAF incidence and delays its onset after CABG. Keywords: POAF, CABG, amiodarone, risk stratification. Keywords: Body Dysmorphia, PCOS patients, prevalence.

: Legal metrology ensures consumer protection from inaccurate measurements by regulating numerous instruments, some under EU harmonized legislation and others governed by national decisions based on the International Organization for Legal Metrology (OIML) recommendations. Verification laboratories produce measurement reports, often in unstructured PDF formats. Exploring and analyzing these reports remains inherently tedious and error-prone due to their format as numerous unstructured PDF files. To address these challenges, we introduce ScaleVis, a system combining standard and specialized visualizations to facilitate the exploration and analysis of measurement data including spatial information relevant to eccentricity measurements. The system incorporates data cleaning to resolve inconsistencies from manual entry and provides insights into measurement trends and deviations. Focusing on non-automatic weighing instruments, we analyze verification results to identify significant deviations in linearity and eccentricity. This study focuses on the analysis of non-automatic weighing instruments from various manufacturers and application domains. Using verification results from competent laboratories, we examine the metrological behavior of these instruments, identifying the ranges of linearity and eccentricities with the largest deviations from prescribed errors. A use case with domain experts underscores ScaleVis’s potential to streamline data analysis in legal metrology, with initial feedback indicating strong utility and effectiveness.