Certain research on the development of motor skills of children with hearing impairment shows that their abilities are not age-appropriate, although they have the same basis for development as hearing children. Education of children with hearing impairments is predominantly focused on hearing and speech rehabilitation, while activities related to music and sports are mostly neglected. The aim of this study was to examine the effects of musical-rhythmic stimulation on the development of selected motor skills of children with hearing impairment aged six to fifteen. For this purpose, a special music and dance program of workshops for 26 children with hearing impairments (12 boys and 14 girls) was created for the period of four and a half months. At the beginning of the program implementation, the initial measurement of body coordination and speed of movement was performed, and the final measurement through five standardized tests at the end. The paired samples t-test was used to analyze the effects of applied musical-rhythmic and dance stimulations. The results of the research indicated certain statistically significant differences in the ability to coordinate the body and speed of movement, i.e. that the program of music and dance workshops has a positive effect on the development of selected motor skills in children with hearing impairment.

Određena istraživanja o razvoju motoričkih sposobnosti djece s oštećenjem sluha pokazuju da njihove sposobnosti nisu u skladu s dobi iako imaju iste osnove za razvoj kao i čujuća djeca. Edukacija djece s oštećenjem sluha dominantno je usmjerena na rehabilitaciju sluha i govora, a aktivnosti vezane za glazbu i sport uglavnom su zanemarene. Cilj ovog istraživanja bio je ispitati učinke glazbeno-ritmičkih stimulacija na razvoj odabranih motoričkih sposobnosti djece s oštećenjem sluha u dobi od šest do petnaest godina. Zbog toga je kreiran poseban glazbeno-plesni program radionica za 26 djece s oštećenjem sluha (12 dječaka i 14 djevojčica) u trajanju od četiri i pol mjeseca. Na početku realizacije programa provedeno je inicijalno mjerenje koordinacije tijela i brzine pokreta te po završetku finalno mjerenje kroz pet standardiziranih testova. Za analizu efekata primijenjenih glazbeno-ritmičkih i plesnih stimulacija korišten je t-test za završne uzorke (paired samples test). Rezultati su istraživanja ukazali na određene statistički značajne razlike u sposobnostima koordinacije tijela i brzine pokreta, odnosno da program glazbeno-plesnih radionica ima pozitivan učinak na razvoj odabranih motoričkih sposobnosti kod djece s oštećenjem sluha.

We observe the relationship and causality between cryptocurrencies on one, and commodities, currencies, equity indexes and web search results on the other side. We use prices of Bitcoin and Ethereum for cryptocurrencies, prices of crude oil and gold for commodities, Euro-US Dollar, Euro-Swiss Franc exchange rates for currencies, Dow Jones Industrial Average for market index and Google Trends® data as a measure of worldwide web search results for cryptocurrencies of interest. We find that Bitcoin and web search results correlation went from highly positive to low negative during the COVID-19 period. The results of the study show that the price of Bitcoin and Ethereum can be modelled using different combinations of commodities, currencies, indexes and web search results, with web search results and Dow Jones Industrial Average exhibiting best predictive power both concurrently and one day in advance. Our best performing models were able to explain more than 95% and 90% of Bitcoin and Ethereum price variability respectively. We also find strong evidence of web search traffic impacting both Bitcoin and Ethereum prices at all tested lags, as well as some evidence of gold impact on Bitcoin and EUR/CHF impact on Ethereum.

The use of renewable energy sources is imposed as an imperative for the competitiveness and stable energy policy of companies. The basic production equipment in the "Kreka" coal mine in Tuzla has electrical plants with a total peak load of 12 MW, and the costs for electrical energy exceed €3.5 million annually. The paper analyzes the suitability of infrastructure facilities and devastated areas of the Kreka Coal Mine in Tuzla for the construction of photovoltaic power plants and the effects of such plants. The results of the analysis show a significant resource for the installation of photovoltaic power plants with a capacity of 230 MW. The production of electricity from these photovoltaic power plants enables a reduction of emissions into the air by 190 t/year of particle emissions, by 316.2 •103 t/year of CO2 emissions, by 58.15 t/year of SO2 emissions and by 251.9 t/year of emissions NOx. With the subsidized purchase of electricity, it is possible to return the investment within 6 years.

Optical character recognition represents the mechanical or electronic conversion of handwritten, typed or printed images into coded text. Optical character recognition is widely used as a form of data entry from records that have been printed, and it can include invoices, bank statements, passports and many more. In the research, Optical character recognition reads data from the Re-Captcha dataset of images, converts them into strings, and these strings are used for testing, training and calculating prediction accuracy. The methodologies used are Convolutional neural network and Recurrent neural network. The convolutional neural network consist of neurons that receive data and group them according to similarity. A recurrent neural network cycle can be created between the connections of nodes, allowing the output from nodes to influence the subsequent input to other nodes. For data were used Re-Captcha images, and for the prediction of characters from images was used TensorFlow with Keras. The best results that are produced can be compared between first and last result, where the loss for first result was 20.63 and value loss was 16.45, while last result has loss of 0.56 and value loss of 2.96

There is a growing technological development in intelligent teaching systems. This field has become interesting to many researchers. In this paper, we present an intelligent tutoring system for teaching mathematics that helps students un-derstand the basics of linear programming using Linear Program Solver and Service for Solving Linear Programming Problems, through which students will be able to solve economic problems. It comes down to determining the minimum or maximum value of a linear function, which is called the objective function, according to pre-set limiting conditions expressed by linear equations and inequalities. The goal function and the limiting conditions represent a mathematical model of the observed problem. Working as a professor of mathematics in high school, I felt the need for one such work and dealing with the study of linear programming as an integral part of mathematics. There are a number of papers in this regard, but exclusively related to traditional ways of working, as stated in the introductory part of the paper. The center of work as well as the final part deals with the study of linear programming using programs that deal with this topic.