The paper presents some general theoretical settings about the principle of immediacy in criminal proceedings. It should serve as a theoretical platform for developing further research in this area. The author gives a definition of the principle of immediacy and sees his place in the classification of procedural principles, linking it to the judicial function. The principle of immediacy is one of the implicit procedural principles, which also have international legal roots in Art. 6 of the European Convention for the Protection of Human Rights and fundamental freedoms. The paper emphasizes and analyzes the following important features of the principle of immediacy: instrumentality, complexity, relativity (susceptibility to gradation) and connection with other procedural principles.

Th is article presents the results of testing the social-entrepreneurial intention model on a student sample at the University of Bihać. Th e classical model of the Th eory of planned behavior was used as a theoretical framework. Regression analysis determined that signifi cant direct predictors of social entrepreneurial intention are personal attitude towards social entrepreneurship ( β =0.212; p=0.007) and perceived behavioral control ( β =0.644; p=0.000), while subjective norms were not confi rmed as a statistically signifi cant direct predictor. Th e model explains 54.4% of the variance of social entrepreneurial intention. 53.8% of respondents have an entrepreneur in their close family. Students who have an entrepreneur in their immediate family achieve statistically signifi cantly higher values in perceived behavioral control, but also statistically signifi cantly lower values in personal attitude, compared to students who do not have a close person who is an entrepreneur. Th at is, students who have a person in their close family who is an entrepreneur, compared to students who do not have such a person, may feel more capable of starting a social entrepreneurial venture, but they may also have a lower degree of desirability to become social entrepreneurs. Due to the lack of quantitative studies in the fi eld of social entrepreneurship, which is still in the phase of building theoretical models, we believe that the results of testing the model of social entrepreneurial intention, presented in this article, will contribute to a better understanding of the application of the theory of planned behavior in the fi eld of social entrepreneurship.

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.

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.

Summary The aim of this study was to examine the effects of seaweed extract (Algaren), nettle extract and microbial biostimulant (Slavol) on total phenolics and flavonoids and antioxidant capacity of leaves of lavender ( Lavandula officinalis L.), sage ( Salvia officinalis L.) and basil ( Ocimum basilicum L.). The study was carried out in a greenhouse located in Vitez, Bosnia and Herzegovina. The experimental trial was set up in a randomized block design with four biostimulant treatments in three replications. The first application of biostimulant was carried out immediately after the transplanting of seedlings, and the second and third treatments 15 and 30 days later, respectively. Total phenolic and flavonoid contents and ferric-reducing/ antioxidant power (FRAP) assay were used to evaluate the antioxidant properties of each leaf extract. The nettle extract was found to be the most effective in increasing total phenolics, flavonoids, and antioxidant capacity in leaves of studied plants. In this study, the antioxidant capacity of leaf extracts was in line with total phenolics/flavonoids, regardless of plant species and biostimulant treatments, suggesting that phenolic compounds greatly contribute to antioxidant capacity of studied plants.