Introduction: Health education is a process of acquiring knowledge and skills in order to improve the health of the individual and the community. It is considered the most effective, most economical and most rational aspect of health care and health culture. Aim To provide data on the effectiveness of printed health-educational materials. Methods This is a quantitative, applied, descriptive-analytical study. According to the type of research, it presents a public health evaluation manipulative study with triple testing. The research was conducted in elementary schools in the Zenica-Doboj Canton. The total number of students participating in the research is divided into groups: examined, control group. The research consisted of four phases. The research tool is a modified questionnaire The Health Behavior in School-aged Children (HBSC) with 38 questions, 8 modules. Results The total number of respondents was 120. The method of distribution of health-educational posters shows a lower but still present statistical significance (p<0.05) in relation to the acquired knowledge and a change in attitudes between the conducted surveys at different time points. There is no statistically significant change (p>0.05) in the level of knowledge and attitudes using leaflets between conducted surveys at three different times. In the control group without education, there was a low statistical significance (p<0.05) in terms of changing the level of knowledge and attitudes. Conclusion The distribution of health-educational posters is recommended in situations where it is necessary to reach a wide audience for a long period of time, if the site of the poster is protected. According to this study, there is no evidence that the leaflet distribution method should be used when it comes to the promotion of healthy lifestyles among healthy children. Alternative methods and ways of health education need to be identified.

Paper presents a calculation of the electric field distribution around the 400 kV transmission lines in power system of Bosnia and Herzegovina (B&H). Method of equivalent charges was used for the calculation of the electric field at arbitrary points in the vicinity of high-voltage transmission lines. Transmission lines with standard tower′s dimensions, as well as lines with reduced (compact) tower′s dimensions were considered. Comparisons between calculated and measured results of electric field values around the transmission line with the standard dimensions of the tower on 400 kV line Sarajevo 10 -Sarajevo 20 was performed.

In this paper, a novel method for electric field intensity and magnetic induction 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 induction. 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 induction 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 induction 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 induction 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 induction estimation results for different overhead transmission line configurations. INDEX TERMSArtificial neural networks (ANN), Biot-Savart (BS) law based method, Charge simulation method (CSM), Electric field intensity, Magnetic induction, Scaled Conjugated Gradient (SCG)

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Cathodic protection (CP) is a technique that prevents corrosion of underground metallic structures. Design of any CP system first requires defining the protection of current density and potential distribution, which should meet the given criterion. It also needs to provide, as uniform as possible, current density distribution on the protected object surface. Determination of current density and potential distribution of CP system is based on solving the Laplace partial differential equation. Mathematical model, along with the Laplace equation, is represented by two additional equations that define boundary conditions. These two equations are non-linear and they represent the polarization curves that define the relationship between current density and potential on electrode surfaces. Nowadays, the only reliable way to determine current density and potential distribution is by applying numerical techniques. This paper presents efficient numerical techniques for the calculation of current density and potential distribution of CP system based on the coupled boundary element method (BEM) and finite element method (FEM).