In this paper, a novel method for electric field intensity and magnetic flux density estimation in the vicinity of the high voltage overhead transmission lines is proposed. The proposed method is based on two fully connected feed-forward neural networks to independently estimate electric field intensity and magnetic flux density. The artificial neural networks are trained using the scaled conjugate gradient algorithm. Training datasets corresponds to different overhead transmission line configurations that are generated using an algorithm that is especially developed for this purpose. The target values for the electric field intensity and magnetic flux density datasets are calculated using the charge simulation method and Biot-Savart law based method, respectively. This data is generated for fixed applied voltage and current intensity values. In instances when the applied voltage and current intensity values differ from those used in the artificial neural network training, the electric field intensity and magnetic flux density results are appropriately scaled. In order to verify the validity of the proposed method, a comparative analysis of the proposed method with the charge simulation method for electric field intensity calculation and Biot-Savart law-based method for magnetic flux density calculation is presented. Furthermore, the results of the proposed method are compared to measurement results obtained in the vicinity of two 400 kV transmission lines. The performance analysis results showed that proposed method can produce accurate electric field intensity and magnetic flux density estimation results for different overhead transmission line configurations.

We are all online. We rarely leave our homes - only when necessary, even though, at times, the prescribed measures allow us to do so. Our daily routines are embedded in video calls and performed online. Household members are forced to stay together now more than ever, but at the same time, all of them need space to study and work. A sudden transition from classrooms to Zoom rooms is forcing us to rethink the entire educational system: New educational grammar is needed! The need for additional insulation inside apartments has become a reality. A wardrobe turns into a study, and nature becomes our balcony. How aware are we of the current changes in our living spaces? Can we use architecture to establish a dialogue with contemporary issues and events, and provide critical solutions that would make the spaces we live in better? New spatial grammar is needed! The Covid-19 pandemic and rapid digitalisation have impacted architecture that has traditionally been a very slow discipline which uses specific tools with manual designing and thinking processes. Architectural education has seen demand-driven changes in the learning process through the years. Following the switch from the system inherited from the socialist period to the Bologna system, the impact of the pandemic has called for the need to conform to changes in teaching methods and understanding of space.

The aim of this study was to determine metric characteristics of the Test of Gross Motor Development (TGMD 3). The study included 146 children from Bosnia and Herzegovina, aged 3-10,4 (6,80 ± 2,23 years; 46,6% male; 53,4% females). Based on the obtained research results it can be concluded that Test of Gross Motor Development (TGMD-3) has satisfactory reliability and internal consistency for children aged 3 to 10 years. Mutual correlations confirm the homogenity of the scale. Based on results of Kolmogorov-Smirnov test, Test of Gross Motor Development is not sensitive for subjects included in this study. The obtained results of the confirmatory factor analysis of this model show a partial agreement of the assumed model with the data ( h2 = 108.17, df = 64, h2 / df = 1.69, TLI = 0.86, CFI = 0.72, NFI = 0.72., RMSEA = 0.07 CI = 0.04-0.09). The data was analyzed with the SPSS 20 software (with the AMOS package). The limitations in the research are the respondents, because due to the epidemiological situation caused by COVID 19, a convenience sample of respondents was selected. Key words: Motor development, TGMD 3, childhood, reliability, confirmatory factor analysis.

The attainment of reading and basic mathematical skills is one of the most important academic goals in early grades of elementary school. A plethora of studies has shown the importance of these skills to future academic achievements and professional career. The goal of this study was to determine the correlation of reading and mathematics in third-grade elementary school students in Canton Sarajevo. An additional goal was to determine if there are differences in the proportion of academic underachievement in relation to the student’s gender. The sample for this study consisted of 70 third-grade students (33 girls, 37 boys, mean age- 103,1 months, SD- 5,6 months) attending two elementary schools in Canton Sarajevo. Results of this study indicated that reading and mathematics share 25% of the variance in the scores. The cor[1]relation between reading and mathematics was r = 0,50, p<0,01. There were more boys in the category of academic underachievement in both, reading and mathematics. However, statistically significant differences in the distribution of students were present only for reading and not for mathematics. Identification of cognitive factors that contribute to reading attainment and mathematical skills will help teachers create better intervention programs. The article ends with some recommendations for teachers on how to improve these academic skills in their students><0,01. There were more boys in the category of academic underachievement in both, reading and mathematics. However, statistically significant differences in the distribution of students were present only for reading and not for mathematics. Identification of cognitive factors that contribute to reading attainment and mathematical skills will help teachers create better intervention programs. The article ends with some recommendations for teachers on how to improve these academic skills in their students

The paper emphasizes that the period of beginning study is alarming, because through the new life circumstances, obligations and environment, great changes occur and a personal hierarchy of values and priorities of students in their lives is formed. The aim of the research was to determine eating habits and differences in relation to gender among students at the University of Tuzla. The research was conducted on a sample of 813 respondents, male and female students of the University of Tuzla. Eating attitude test (EAT26) is used for diagnosis of eating habits. Obtained results sowed statistically significant difference between male and female students in the applied test EAT26. Key words: EAT26, eating habits, students

This chapter provides an overview of research opportunities and issues in IoT forensics. It gives a quick introduction to forensics and digital forensics. Key specifics of IoT forensics are explained. Issues that arise from IoT related challenges in all phases of a forensic investigation are presented. Some opportunities that IoT brings to forensics are pointed out. An example of an IoT forensics case is provided. A detailed research overview is given, providing information on the main research directions with a brief overview of relevant papers. The chapter concludes with some ideas for future research.