– Homeschooling is a term typically used to describe the form of education where parents educate their own children at home with little to no contact with public school education. The purpose of this study is to gather information on the public opinion of homeschooling in Sarajevo Canton, Bosnia and Herzegovina, as well as to see how the COVID-19 pandemics affected this opinion. For this purpose, a survey was conducted and, as a result, information on the topic is gathered. The general opinion of the public leaned more towards the negative end when all the results were summarized. Homeschooling, in general, is not a term that people are familiar with and accepting of in t h e region of Sarajevo Canton, Bosnia and Herzegovina. Additionally, the COVID-19 pandemic has not had a positive influence on the opinion of the homeschooling.

Based on previous research on energy efficiency of the buildings, particularly their cooling load capabilities we will develop a collection of machine learning methods for detecting buildings with best cooling load capabilities. This collection will study the influence of 8 input variables (relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, glazing area distribution) on one output parameter, that is cooling load of buildings. The results of this study support the practicability of using machine-learning software to estimate building parameters as a convenient and accurate approach, as long as the methods chosen are well suited for the type of data in question.

This paper proposes an empirically tested model that explains the significance of project development phases for the project success, and the impact of project people on each phase. The conceptual model includes six inter-related components: project success as the ultimate target, project team, customer, and three process steps: planning, execution, and control. The empirical test was performed in the context of information systems (IS) projects. Usable data were obtained from a survey of 603 IS professionals and were analysed through structural equation modeling, factor analysis, and descriptive analysis. The results provide good empirical support for the proposed theoretical model. They reveal a significant direct relationship between project planning and control components and project success, and the indirect impact of project execution phase on the project success through mediating project control component. Furthermore, results emphasize the importance of the people aspect for successful execution of each of the introduced process steps.

The purpose of this research is to find the direct and/or indirect relationship between information and communications technologies (ICTs) and the economic development of transitioning countries. Specifically focusing on how technology can be used to advance a developing economy, this paper consists of conceptual background in terms of ICTs as well as a country-level analysis cross-referencing Albania, Armenia, Bosnia and Herzegovina (BiH), Croatia, Serbia, and Slovenia. These countries were categorized as European Union (EU) member states and non-EU countries solely to analyze the factors that can be used to advance a transitioning economy into a developed economy. Out of the selected ICT indicators in the study, it was found that fixed telephone subscriptions, fixed broadband subscriptions, research and development expenditures, and mobile cellular subscriptions all play a significant role for an increase in gross domestic product (GDP).

The subject of this article will be the analysis of the application of two modern linguistic approaches to the ancient text. It is about M. Halliday's systemic functional linguistics (SFL) and critical discourse analysis (CDA) through whose patterns we will analyze Suetonius' account of two Roman emperors, Augustus and Nero. Since the language is a strong link between SFL as a linguistic approach and CDA, a movement that unites several different disciplines, including linguistic ones, focused on social change, this article will try to shed light on the role, connection and effectiveness of SFL and CDA in a biographical presentation of a personalities. Critical discourse analysis defines language as a social practice, an essential component of creating social relations and changing them; therefore, it focuses on the language in use - discourse, and analyzes it within the broader social, political, historical, cultural and any other context in which it is realized.

The paper aims to identify patterns and country-specific determinants of intra-industry trade (IIT) in agri-food products between Bosnia and Herzegovina (BiH) and other CEFTA 2006 parties in the period 2008-2018. The purpose of the paper is to contribute to filling the gap in the empirical literature on IIT of the South East European countries, especially in regard to non-manufacturing sectors. To investigate IIT intensity and structure the analysis employed Grubel- Lloyd indices and GHM methodology based on relative unit values. In order to examine the impact of various determinants on IIT in agri-food products, a random-effects Heckman selection model was estimated, following a sector-level approach in the analysis. The analysis indicates a lower level of IIT than expected and a strong dominance of its vertical type in all BiH bilateral relations within CEFTA 2006. The empirical results also suggest that the major determinants positively affecting IIT in agri-food products include the size of the trading economies, the similarity in their ethnic structure, membership in the common regional trade agreement, and common borders. By contrast, the results indicate that IIT is negatively affected by differences between the trading economies in terms of productivity and gross domestic product per capita.

386 Published By: Blue Eyes Intelligence Engineering and Sciences Publication © Copyright: All rights reserved. Retrieval Number: 100.1/ijeat.E28430610521 DOI:10.35940/ijeat.E2843.0610521 Journal Website: www.ijeat.org Abstract: Humans are generally exposed to a variety of pollutions present in the air they breathe, the food they eat or in the water they drink. Some of the most dangerous pollutions are metals and heavy metals. These are naturally occurring substances which are harmless when present in the environment at low levels. However, due to many pollutants such as industry processes or war activities, the heavy metal concentration can exceed the limit of tolerance and become very toxic for the natural environment and living organisms in it, including humans. Unlike organic pollutants, the heavy metals (as ions and as particulate matter) once introduced into the environment cannot be biodegraded and remain there indefinitely. By rainfall these pollutants can be partially transferred from air or soil into the rivers and drinking water sources, where they accumulate in even higher toxic levels. The high concentrations of heavy metals in contaminated natural water reservoirs have an impact on the microbial community composition which resides there. This type of water pollution can cause the changes in life cycles of natural bacterial populations, influencing their metabolic processes and proliferation. The presence of pathogens in water is normally indirectly determined by the testing for “indicator organism” such as coliform bacteria. Coliforms are usually present in larger numbers in contaminated water and at the same time they are indicators of whether other pathogenic bacteria are present, too. In crisis situations, like war or some natural disasters, where trusted sources of drinking water are not available anymore, the military and residents of affected areas are forced to use some alternative water resources that cannot be tested for their microbial or metal contamination properly. Therefore, the existence of some fast test that would detect not only dangerous bacterial pathogens in water, but also the presence of metals and heavy metals as well, would be of great help and importance for the human health. Even though the number of pathogens can be drastically reduced by the boiling of water, the heavy metals are not destroyed by high temperature. Hence the main objective of our work was to optimize the biosensor chip for microbial detection in contaminated water that would serve at the same time as an indicator for the chemical composition of the water,

Allelopathy can have an important applicaiton in areas of agriculture, especially in integrated protection from weeds, by using of allelopathic crops in different ways. In this research allelopathic effects of invasive species acacia (Robinia pseudoacacia L.)  and white goosefood (Chenopodium album L.) are explored on germination of   tomato (Solanum lycopersicum L.). Water extracts of dry leaves of white goosefoot and acacia are prepared according tothe  method : Norsworthy (2003). Experiment has been made in controlled laboratory conditions. Results of this research show that acacia and white goosefood have negative allelopathy potential and they act inhibitory on germination of tomatoes. Research of allelopathy and allelopathic relationships of weed species and agricultural cultures represents a big challenge for those people who are working in food production, and at the same time can be an instrument of ecologically sustainable agriculture.