The industrial waste deposit in Žitkovac was utilized for the disposal of various metallurgical wastes, including lead refinery byproducts. This site has been contaminated for many years; despite the company maintaining records of waste disposals, weathering processes altered the waste, leading to the mixing of byproducts from lead production. Consequently, the mineralogical composition of the waste changed, and the behavior of toxic components was affected by weathering, oxidation, and penetration into the soil. To investigate this, eight characteristic samples were collected from three depths: the surface, 300 mm, and 500 mm. Specific sampling locations were chosen based on visible differences as well as the company’s records. The results indicated that lead, arsenic, and ferric compounds had penetrated the deeper layers of the soil, while copper, cadmium, and antimony remained primarily concentrated at the surface. It was noted that the gauge minerals, the agents used in refining residues, and the composition of the soil significantly influenced the behavior and penetration of pollutants within the soil column.

Molecular-genetic diagnostics of polygenic diseases is a new and interesting area in laboratory diagnostics, especially in the area of cardiovascular diseases, as one of the leading causes of mortality in the world population. Aims: The aim of the paper was to analyse variants of the endothelial nitric oxide synthase gene (NOS3) (Glu298Asp/G894T) in the human population of Tuzla Canton in relation to cardiovascular diseases. Study Design: The study included 112 respondents of both sexes over 18 years old. The experimental group for the analysis of the polymorphism (Glu298Asp) of the endothelial nitric oxide synthase gene included 56 respondents of both sexes with cardiovascular disease (hypertension), while the control group comprised 56 healthy respondents of both sexes without a prior history of cardiovascular disease (sample/control). Place and Duration of Study: Blood sampling was performed at Medical Center "Plava Poliklinika", “Plava Medical Group”, Department of Biochemistry, Microbiology and Genetics, Tuzla. DNA isolation and molecular-genetic analysis of the samples were performed in Laboratory for scientific research at the Department of Biology, Faculty of Natural Sciences and Mathematics in Tuzla. Methodology: The genotyping of eNOS Glu298Asp polymorphism for all respondents was determined by an optimized method based on PCR-RFLP reaction. Results: In the total sample of respondents, the highest genotype frequencies of the eNOS gene were recorded for the GG genotype (53.5%) and the GT genotype (35.7%). The lowest frequency was recorded for the TT genotype, which was 10.8%. Conclusion: The results obtained in the study provide good guidelines for further study of a molecular-genetic association between a high number of gene candidates and cardiovascular diseases, which will contribute to the incorporation of these results into the existing regional and European genetic database.

The aim of this study is to investigate the environmental risk of long-term metallurgical waste disposal. The investigated site was used for the open storage of lead and zinc waste materials originating from a lead smelter and refinery. Even after remediation was performed, the soil in the close vicinity of the metallurgical waste deposit was heavily loaded with heavy metals and arsenic. The pollutants were bound in various compounds in the form of sulfides, oxides, and chlorides, as well as complex minerals, impacting the pH values of the investigated soil, such that they varied between 2.8 for sample 6 and 7.34 for sample 8. In order to assess the environmental risk, some eight soil samples were analyzed by determining the total metal concentration by acid digestion and chemical fractionation of heavy metals using the BCR sequential extraction method. Inductively coupled plasma optical emission spectrometry (ICP-OES) was used to determine six elements (As, Cd, Cu, Pb, Zn, and Ni). Total concentrations of the elements in the tested soil samples were in the range of 3870.4–52,306.18 mg/kg for As, 2.19–49.84 mg/kg for Cd, 268.03–986.66 mg/kg for Cu, 7.34–114.67 mg/kg for Ni, 1223.13–30,339.74 mg/kg for Pb, and 58.21–8212.99 mg/kg for Zn. The ratio between the mean concentrations of the tested metals was determined in this order: As > Pb > Zn > Cu > Ni > Cd. The BCR results showed that Pb (50.7%), Zn (49.2%), and Cd (34.7%) had the highest concentrations in mobile fractions in the soil compared to the other metals. The contamination factor was very high for Pb (0.09–33.54), As (0.004–195.8), and Zn (0.14–16.06). According to the calculated index of potential environmental risk, it was confirmed that the mobility of Pb and As have a great impact on the environment.

Over the last decades, globalization has brought many positive effects for the companies operating overseas including exposures to new cultures and belief systems. However, such international exposure has also brought certain problems in terms of cultural differences from different markets. Expatriates (international managers) when running international operations and managing foreign teams come across many obstacles caused by differences in national cultural systems, therefore it is important to have a good understanding how cultures differ from each other and what is the best way to approach each one of them in the right way. Therefore, the aim of this paper is to determine how intercultural differences affect human resource management in an international context and how expatriates should adapt their leadership styles to the requirements of local markets. Moreover, the paper elaborates on differences between domestic and international management styles and on the differences between leadership styles across different regions.

Burned area of forest may be developed based on different factors. In this investigation the burned area of forest was analyzed by computational intelligence approach. The main goal was to analyze the influence of eight inputs on the burned area of forest. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data. Eight inputs are considered: FFMC, DMC, DC, ISI, temp, RH, wind, rain. The ANFIS process was implemented to detect the dominant factors which affect the forecasting of the burned area of forest.

Even though coordinate measuring machines (CMM) still achieve the most accurate measurement results, non-contact (optical) measuring systems are applied more and more in industry. The reasons of using optical scanners are in the higher speed of acquisition, higher density of data-points and better surface description, the ability to scan complex and non-rigid surfaces etc in comparison to contcact devices. This paper gives a review of state-of-the-art measuring contact and non-contact inspection technologies in industrial applications. Listed are the devices, principles and systems that are used at the data-acquisition (triangulation, time-of-flight and interferometry). The description of contact measuring machines (portable CMM and stationary CMM) and devices for non-contact scanning (laser scanner, structured light scanner and CT scanner) is given, and their advatages and disadvantages are mentioned with corresponding literature review.

As a metal machining process, end milling is the most widely used processes in industry. One of the most important indicators of success in finishing operation is the estetic quality of the surface that is directly connected to the maximal height of uneven surfaces, namely rougness. In process of milling the quality of the machined surface depends of many factors, for example, tool geometry, cutter parallel axis offset and cutter axis tilt, tool deflection due to cutting forces, tool and work piece vibrations etc. This paper presents the development of mathematical model for the determination of the quality of the machined surface topography. The model starts from an ideal trochoid point trajectory on the cutting edge tooth end mill, and then inserts the deviations due to cutter parallel axis offset and cutter axis tilt and gives instructions for the input of other factors that influence on the machined surface quality. Also it compares the values of maximal roughness height with different mill axis positions, and on different mill cross section heights, as well as the differences at up and down milling.