Introduction. Higher level of knowledge and frequent contacts with peers with disabilities can influence the emergence of more positive attitudes of students towards peers with disabilities. In regard to that, our aim was to test the importance of knowledge, contact frequency and other possible factors influencing attitudes of students toward disabled peers. Methods. The study included 140 students of 4th and 5th grade of primary schools. The research was conducted in the period from December 2020 to March 2021 in two primary schools. The Chedoke McMaster scale was used to examine students' attitudes toward peers with disabilities, while Contact with Disabled Persons Scale and the Children's Knowledge about Handicapped Persons Scale were used to assess frequency of contact and knowledge about disabilities. Results. Girls showed a significantly higher level (25.21±6.21) of frequency of contacts with students with disabilities compared to boys (19.66±7.30) (p=0.043) and higher level of knowledge (27.88±5.88) about disabilities compared to boys (25.50±4.69) (p=0.009). Respondents who attended school together with children with disabilities (31.07 ± 8.41) showed a significantly higher level of frequency of contacts with students with disabilities compared to respondents who did not attend school with peers with disabilities (13.72±6.32) (p=0.001). Conclusion. Higher level of knowledge and frequent contacts with peers with disabilities does not have influence on the emergence of more positive attitudes of students towards peers with disabilities.

Introduction. Inhalation of coal dust during blasting in brown coal mines has been shown to lead to a lung disease called pneumoconiosis. There is very little data in the literature on the direct impact of coal on the quality of life of people who work in coal mines as well as the body's immune response to the effects of coal dust. The aim was to examine the immune response to exposure to coal dust in miners in a brown coal mine and whether mine workers have poorer quality of life compared to those not exposed to coal dust. Methods. This is a cross-sectional study among 100 employees in the Brown Coal Mine in Ugljevik, of which 50 of them are exposed to coal dust on a daily basis. Blood samples were taken from all subjects to test for the presence of cytokines IL-2, 4, 5, 9, 10, 13, 17A, 17F, 21, 22, IFN-g and TNF-a. The quality of life of employees was measured using a questionnaire for self-assessment of physical and mental health (36-item Short-Form Health Survey, SF-36). Results. Group of miners had a significantly (p<0.05) higher concentrations of pro-inflammatory cytokines IL-6, IFN-g, IL-17A and IL-22 when compared to the control group. Subjects from the control group had significantly (p<0.05) higher concentrations of anti-inflammatory cytokines IL-4 and IL-10 when compared to the group of miners. The quality of life was significantly (p<0.05) better in the control group when compared to the group of miners. Conclusion. Physical functioning, general health, mental health and Physical component summary were significantly poorer in the group of miners. Exposition to coal dust led to a significant increase in the production of pro-inflammatory cytokines and a decrease in the production of anti-inflammatory cytokines.

Introduction. Tinnitus is a perception of a sound in the ears in the absence of acoustic stimulation whose pathophysiological mechanisms have not been evaluated yet. Approximately, 1-2% of people report distress which can negatively affect their daily performance. Our study aimed to assess the incidence of anxiety in patients with tinnitus. Methods. The study was designed as a cross-sectional study. The participants were divided into two groups: a group of 73 patients with tinnitus (with two subgroups in relation to the duration of tinnitus-less than one year and more than one year) and a control group of 43 patients without tinnitus. We examined the presence of anxiety in all patients using the Burns Anxiety Inventory (BAI). The quality of life of all patients was estimated by Tinnitus Handicap Inventory (THI). Results. In the group of patients with tinnitus, 56.2% of them had mild and 24.7% moderate hearing loss, while 27.7% of respondents from control group had mild and 8.5% moderate levels of hearing impairment. THI results showed that patients with tinnitus less than 1 year had a significantly (p= 0.002) higher level of disorders in daily life, compared with the group who had tinnitus for more than 1 year. The 30.8% of respondents had minimal anxiety, 26.7% borderline anxiety, 17.5% mild anxiety, the same percentage of respondents moderate, 5% severe, while 2.5% had extreme anxiety based on BAI. Conclusion. Anxiety can be considered as potentially significant modulators of changes in brain structures observed in people with tinnitus.

Key account management (KAM) in theory is described as a strategic approach distinguishable from account management or key account selling that should be used to endure long-term development and retention of strategic customers. This article presents the importance of key account management orientation in today's business and how it affects the non-financial performance of companies in Bosnia and Herzegovina. Also, we will present the results of ongoing research that aims to identify the influence of key account management orientation on company non-financial performance in different industry sectors. Data were collected from several companies in different industries considering a company as a unit of analysis. Research instrument - questionnaire compromised scales that had been validated and found reliable in previous research. Item total reliability and confirmatory factor analysis will be used to test the reliability and validity of the constructs. Furthermore, the structural equation modelling (SEM) technique will be employed to analyze the effects of key account management orientation on a company's non-financial performance. It is to be expected that the results of the conducted research show a statistically significant impact of key account management orientation on a company's non-financial performance in Bosnia and Herzegovina.

Considering the growing global problem and the lack of obesity data in Bosnia and Herzegovina (BH) the main aim of this paper was to determine BH school-age children body composition and determine the differences in body composition between girls and boys classified in underweight, normal weight and overweight according to the body mass index (BMI) score. 2524 participants 1763 girls and 761 boys (aged 10-13 yrs.) from 32 elementary schools were randomly selected and divided to 3 BMI groups by WHO cut-off points. InBody 370 Body Composition Analyzer (BioSpace, Seoul, Korea), a segmental bioelectrical impedance analysis (BIA) device was used to gather data. The results showed ~38% of the sample were classified as overweight whilst gender differences showed higher body fat mass and fat percentages in arms, trunk and legs in underweight and normal weight girls and higher skeletal muscle mass in normal weight and overweight boys.

This study aimed to examine the relation between agility, sprint ability, and vertical jump performance of young basketball players. Fifty (n=50) young basketball players (mean±SD: age = 12.63±0.95; height = 160.84±6.31 cm; body mass = 50.82±6.88 kg) participated in the study. The agility T-test and 505 test were assessed to determine agility, 10m and 20m sprint was measured to determine sprint ability and countermovement jump (CMJ) for jumping performance. The results of Pearson’s Product Moment Correlation analysis indicated large to very large relation between agility tests and sprint performance (r = 0.61 to 0.85); agility and jump performance (r = - 0.64 to - 0.67); sprint and jumping performance (r = -0.59 to -0.77). The results of the study suggest that agility, sprint, and jumping performance share common physical demands, therefore it is necessary to develop them during the training.

This study examines student engagement in an online environment concerning the perception regarding the course and the technology used. A research model was developed from the principal tenets of the expectancy-value theory to which values and expectations are assumed to influence how students build engagement. The model conjoins student perception related to course factors (content and rigor), technology factor (technology convenience), and student engagement (psychological, cognitive, emotional, and behavioral). The model was tested using a sample composed of 328 business undergraduate students taking the courses online using the BigBlueButton e-learning system due to the global emergency caused by the COVID-19 pandemic. Hence, respondents did not voluntarily choose the online teaching delivery method. The results imply that both course content and perceived technology convenience predict overall student engagement, while course rigor influences student cognitive, emotional, and behavioral commitment, but not psychological engagement.

Nowadays, companies face numerous challenges to operate successfully and remain competitive in the market. Globalization is increasing competition in the market, allowing many companies to operate in foreign markets. Increasing competition has made companies constantly trying to increase their productivity while reducing costs. To meet all the requirements, and at the same time function in the best possible way, companies must be organized adequately, taking into account the whole set of processes from the company's internal organization to the company's appearance on the market. It means, if the end-user is to be satisfied, the company must implement quality in all phases of business, ie business ethics and company culture, through the quality of technology, personnel, etc. In other words, it must be satisfied the system quality of the company, known in the literature as QMS (Quality Management System). The main purpose of this paper is to review the multiple understanding of the concept of QMS and its different underpinning theories in a business to customer context. The design of this research is based on mere documentary analysis and some observations.

High penetration of renewable energy sources brings both opportunities and challenges for Smart Grid operation. Due to their high contribution to energy consumption, aggregated load flexibility of small residential and service sector consumers has a potential to address the intermittency challenge of distributed generation. Predicting aggregated load flexibility of this consumer sector involves access to sensitive smart meter data, raising data collection and sharing concerns. Federated Learning, a decentralized machine learning technique that uses data distributed on user devices to construct an aggregated, global model, offers potential solutions to tackling this challenge. This paper explores the potential of using Federated Learning for flexibility prediction in Smart Grids through an analysis of its opportunities and implications for different stakeholders involved, as well as the challenges faced. The analysis shows that Federated Learning is a promising approach for building privacy-preserving energy portfolios of aggregated demand data.