In today's globalized, fast-changeable, and digitalized market, companies strongly need and seek talents, who, besides basic skills, possess higher levels, as well as the optimal mix of different competencies and qualifications. Attracting the best employees, developing and retaining them represents a crucial success factor for any firm and requires well-organized talent management. The purpose of this study is to analyze the influence of talent management, viewed through attracting, developing, and retaining talents, on organizational performance improvement in companies in Bosnia and Herzegovina. Data collection is based on a questionnaire, related to core elements of talent management and organizational performance (profitability and sales growth), with respondents from the population of talented managers, who work in companies in Bosnia and Herzegovina. The findings indicate that talent management has a positive statistically significant influence on observed organizational performance in companies in Bosnia and Herzegovina. Since talented managers are a key strategic resource, who lead organizations to accomplish excellent organizational performance, companies in developing countries need to tailor effective and customized talent management strategies, to achieve continuous improvement of organizational outcomes.

The current study examined anxiety, neuroticism and extraversion amongst Bosnian high school and university students who were studying English as a foreign language (EFL). By employing the Public Speaking Class Anxiety Scale and the Big Five Inventory (BFI) test, the authors showed that this group of students was characterised by a relatively high level of extraversion and a medium level of neuroticism and anxiety about public speaking in class. The study further investigated the variation in both personality traits and anxiety based on gender, the level of education and out-of-school exposure to English as the target language. The first two factors had an insignificant effect on personality traits and anxiety, whereas out-of-school exposure to English proved to be significant in all contexts. Finally, the multiple regression analysis suggested that anxiety, extraversion and neuroticism were not significant predictors of students’ average EFL grades, while extraversion was a significantly positive predictor and anxiety was a significantly negative predictor of the students’ self-reported EFL knowledge. The study contributes to the further individualisation of formal language teaching and learning, as well as to the promotion of the development of independent life-long learners.

The influence of the production method, i.e. casting technology on the cleanliness and thus the quality of carbon steels is best determined through the presence and type of non-metallic inclusions. A large number of inclusions, especially oxide and complex ones, can significantly affect the mechanical properties of carbon steels and limit their application for the production of finished products. This paper presents the influence of the presence, type and amount of non - metallic inclusions in B500B carbon steel according to ASTM / AISI produced by continuous casting technology without and with the application of stream protection.

This paper presents the overview and preliminary results of the HEKTOR - Heterogeneous Autonomous Robotic System in Viticulture and Mariculture project. HEKTOR is divided into two main parts, each dealing with specific scenarios in viticulture and mariculture. The robots used in the project and each specific scenario considered are presented. In viticulture, this includes vineyard surveillance, spraying and bud rubbing using an all-terrain mobile manipulator and unmanned aerial vehicle (UAV). In mariculture, scenarios include coordinated monitoring of fish net cages from below the surface and from the air, using the UAV, an unmanned surface vehicle (USV) and a remotely operated underwater vehicle (ROV).

Cleft of the mitral valve is a rare cause of the congenital mitral regurgitation. Isolated cleft is uncommon finding and is more often found associated with some form of endocardial cushion defect. Cleft of the septal leaflet is found much more often than the defect in the posterior leaflet. Mitral clefts can extend to the mitral annulus or they can be less ''deep'' and show only minor regurgitation. Clinical importance of the isolated cleft of the mitral valve (ICMV) is that it can be successfully corrected by surgery and that it can have good long-term results.

Background: Two-dimensional volumetric exercise stress echocardiography (ESE) provides an integrated view of left ventricular (LV) preload reserve through end-diastolic volume (EDV) and LV contractile reserve (LVCR) through end-systolic volume (ESV) changes. Purpose: To assess the dependence of cardiac reserve upon LVCR, EDV, and heart rate (HR) during ESE. Methods: We prospectively performed semi-supine bicycle or treadmill ESE in 1344 patients (age 59.8 ± 11.4 years; ejection fraction = 63 ± 8%) referred for known or suspected coronary artery disease. All patients had negative ESE by wall motion criteria. EDV and ESV were measured by biplane Simpson rule with 2-dimensional echocardiography. Cardiac index reserve was identified by peak-rest value. LVCR was the stress-rest ratio of force (systolic blood pressure by cuff sphygmomanometer/ESV, abnormal values ≤2.0). Preload reserve was defined by an increase in EDV. Cardiac index was calculated as stroke volume index * HR (by EKG). HR reserve (stress/rest ratio) <1.85 identified chronotropic incompetence. Results: Of the 1344 patients, 448 were in the lowest tertile of cardiac index reserve with stress. Of them, 303 (67.6%) achieved HR reserve <1.85; 252 (56.3%) had an abnormal LVCR and 341 (76.1%) a reduction of preload reserve, with 446 patients (99.6%) showing ≥1 abnormality. At binary logistic regression analysis, reduced preload reserve (odds ratio [OR]: 5.610; 95% confidence intervals [CI]: 4.025 to 7.821), chronotropic incompetence (OR: 3.923, 95% CI: 2.915 to 5.279), and abnormal LVCR (OR: 1.579; 95% CI: 1.105 to 2.259) were independently associated with lowest tertile of cardiac index reserve at peak stress. Conclusions: Heart rate assessment and volumetric echocardiography during ESE identify the heterogeneity of hemodynamic phenotypes of impaired chronotropic, preload or LVCR underlying a reduced cardiac reserve.

Bilirubin represent a natural end-product of heme metabolism and is used as as a marker in diagnosis off hepatobiliary diseases. Recent studies demonstrated that serum bilirubin levels are related to the risk of Type 2 diabetes mellitus (T2D) development and subsequent complications. The aim of this study was to analyzed serum total bilirubin concentrations and its relationship with biochemical and clinical characteristics in T2D patients. Total of 109 participants were included in this study, 54 controls and 55 diabetic patients, both gender, while ages ranged from 35 to 70 years. Biochemical parameters were analyzed by standard IFCC methods while serum total bilirubin concentrations was determined by the method of Jendrassik/Gróf. All analyses and measurements were provided by using the chemical analyzer VITROS 350. Results showed a significant difference in concentrations of glucose, glycated hemoglobin (HbA1c), lipid profile (total cholesterol, triglycerides, HDL cholesterol, LDL cholesterol) and bilirubin between T2D patients and controls (p<0.05). Also, significant association was found between bilirubin and glucose concentrations in two investigated populations (p<0.05). It appears that elevated concentration of bilirubin and biochemical characteristics are associated with the progression development of Type 2 diabetes and its related vascular complications. Therefore, total serum bilirubin concentrations could be used as potential T2D biomarker and therefore, as new therapeutic target.

An influential explanation for the persistent political underrepresentation of minorities in elected office is that minority candidates are discriminated against by voters of the dominant ethnic group. We argue, however, for the need to distinguish between two forms of discrimination: ingroup favoritism and outgroup hostility. We measure the impact of each by using an extensive data set drawn from Swiss elections, where voters can cast both positive and negative preference votes for candidates. Our results show that immigrant-origin candidates with non-Swiss names incur an electoral disadvantage because they receive more negative preference votes than candidates with typically Swiss names. But we also find that minority candidates face a second disadvantage: voters discriminate in favor of majority candidates by allocating them more positive preference votes. These two forms of electoral discrimination are critically related to a candidate’s party, whereas the impact of the specific outgroup to which a minority candidate belongs is less pronounced than expected.

In the paper presented above, the authors are dealing with current criminal regulation issues of the criminal offence of malpractice, and the criminal liability of the doctor as the main provider of health care. The criminal offense of malpractice is one of the so-called delicta propria, because this criminal offense can only be done by a medical doctor, dental doctor, or another health care professional. The paper presents the comparative analysis and a critical review of the criminal offense of malpractice treatment in Bosnia and Herzegovina, Croatia, and Slovenia. The paper will present the detailed analysis of this crime in Bosnia and Herzegovina, with a comparative analysis of this crime in Croatia and Slovenia, with reference on jurisprudence in the above countries.

Distribution system state estimation is becoming an increasingly important feature in the modern power grid, but the lack of real measurements makes its implementation particularly difficult. A solution for this problem could be the generation of accurate pseudo measurements. For this purpose, an Artificial Neural Network based reactive power pseudo measurement generating algorithm (PMG-ANN) was created, which was implemented in a distribution system state estimation. After testing, it was concluded that the artificial neural network based pseudo measurement generator has successfully made the distribution network observable and achieved a high accuracy in the examined predictions. However, some points were identified where further improvements could be made.

The paper covers numerical analysis of an experiment with five T-beams that are loaded to failure. The beams are designed to have the same ultimate bearing capacity with different ratios of prestressed to classic reinforcement. A detailed overview of the experiment is shown with exact section dimensions, as well as exact position and ratio of prestressed to classic steel. As a result of the experiment, force-displacement diagrams for each beam are presented and analyzed. Numerical model of the beams, reinforced in accordance with the experiment, is also shown. Two models for materials are used to analyze the beams: design model to check the design failure force and a new material model with concrete tension to simulate the actual behavior of the beams. All beams are gradually loaded to numerical failure by incrementally increasing the load that simulates press load. At the end, an analysis and comparison between experimental and numerical results is conducted to determine if the numerical model is a good representation of actual beam behavior.