To evaluate and promote ecologically responsible practices in the sintering business, conducting a sustainability evaluation of sintering flue gas is essential. An important step in making iron and steel, sintering releases flue gas emissions that, if not controlled, may harm the environment. Reducing emissions, improving energy efficiency, managing waste, using water, utilizing resources, monitoring community effects, complying with regulations, conducting a life cycle assessment, and continuously improving are all part of the assessment's extensive scope. When these aspects are considered, stakeholders may better understand the economic, social, and environmental effects of sintering flue gas management. This paper used the multi-criteria decision-making (MCDM) methodology to evaluate the criteria. We used the DEMATEL method as an MCDM method. The DEMATEL is used to build the relation between the criteria. We collect ten criteria in this study. We compute the criteria weights to show this study’s best and worst criterion. The DEMATEL method is used to draw the effect diagram between criteria.

It has long been recognized that learning content is very useful for developing the intellectual and creative abilities of children. Modern teaching requires dynamic, diverse teaching and its adaptability to the abilities of each individual student. This implies a skillful combination of modern teaching materials, methods, forms and the choice of teaching form in each lesson. In that context, motivational games in the class have a special function. It is common knowledge of every teacher that students in classes need to be encouraged towards full engagement of cognitive abilities. This is not always easy to achieve. In every class, psychological preparation (application) is necessary to mobilize students' attention in the shortest possible period of time, prepare them for cognitive activities, whether it is preparation for the processing of new teaching contents, doing exercises or repeating old material. In all this, well selected motivational games can play a significant role. With engagement of cognitive process in solving such tasks, students can find successful solutions in a short time, and success is the best motive for further work in class.

Even though the Enterprise Resource Planning (ERP) technologies have been significantly addressed in managerial literature, few studies investigated the effects of digital literacy. This study aims to explore the relationship between digital literacy and ERP technology adoption in Bosnia and Herzegovina (BiH), as well as the mediating effects of business innovativeness within that relationship. A valid and reliable structured survey has been prepared and delivered to companies in BiH which use ERP technologies. Based on the recent literature, first order structural equation model has been proposed and tested. The empirical data was based on 82 questionnaire responses from companies in BiH which use ERP technologies. Once the data has been collected, factory data analysis has been performed to purify scales through items' loadings and Cronbach's Alpha values. The resultant scales have been tested for convergent validity through partial least-square path modelling using Smart PLS 3 software. The results indicated that effects of digital literacy on actual system use are significant and positive, and that business innovativeness partially mediates the relationship.

Engaging in non-driving related tasks (NDRTs) while driving can be considered distracting and safety detrimental. However, with the introduction of highly automated driving systems that relieve drivers from driving, more NDRTs will be feasible. In fact, many car manufacturers emphasize that one of the main advantages with automated cars is that it “frees up time” for other activities while on the move. This paper investigates how well drivers are able to engage in an NDRT while in automated driving mode (i.e., SAE Level 4) in real traffic, via a Wizard of Oz platform. The NDRT was designed to be visually and cognitively demanding and require manual interaction. The results show that the drivers’ attention to a great extent shifted from the road ahead towards the NDRT. Participants could perform the NDRT equally well as when in an office (e.g. correct answers, time to completion), showing that the performance did not deteriorate when in the automated vehicle. Yet, many participants indicated that they noted and reacted to environmental changes and sudden changes in vehicle motion. Participants were also surprised by their own ability to, with ease, disconnect from driving. The presented study extends previous research by identifying that drivers to a high extent are able to engage in a NDRT while in automated mode in real traffic. This is promising for future of automated cars ability to “free up time” and enable drivers to engage in non-driving related activities.

The security of each system is essential for its use. In order to make this process as successful as possible, it is advisable to develop a threat model for the system under consideration at the design stage. The purpose of the threat model is to enable the identification of security threats, by whose further analysis we can conclude which are the greatest vulnerabilities of the system and which pose the greatest risk. There exist many different approaches to threat modeling in terms of methods, methodologies, and tools. In this paper, we give an overview of those approaches and apply one of them, i.e., the most represented and mature to a specific system. A STRIDE-based methodology, software-centric method, and Microsoft Threat Modeling Tool (MTMT) mixture has been used to threat model the Web of Things (WoT)-based temperature management system which is in the design phase.