– 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.

We develop a thermodynamically consistent continuum damage micromechanics model for the compressive failure of flax fiber composites. We used a micromechanics-based constitutive model reported recently [1]. It describes the microstructure of a unidirectional composite and captures the material behavior of the fiber and matrix constituents, respectively. The description has been formulated in the reference configuration (i.e. the undeformed state of the composite) and is therefore independent of fiber rotations that may appear during the deformation of the composite. A hyperelastic finite deformation plasticity with power law hardening [3] mimics the compressive elastic-plastic stress-strain response of the fiber (reported in [2]) and the matrix. The model has been extended to account for fiber damage, resulting in a thermodynamically consistent continuum damage micromechanics model. Our results indicate that fiber damage plays an utmost role in the compressive failure of flax fiber composites – it is a major determinant of the material’s compressive stress-strain response. X-ray Computed Tomography and Scanning Electron Microscopy show that fiber damage can be attributed to intra-fiber splitting and elementary fiber crushing.

Paper materials are natural composite materials where fibers are almost randomly distributed in a fiber network. Mechanical properties of fiber networks are known to be strongly controlled by fiberfiber interactions and single fiber properties. A fiber network is often modeled as a beam network where beam-to-beam interactions are treated as cohesive zones and single beams stretch indefinitely without breaking. The latter assumption is not physically correct and leads to an overprediction of the mechanical response of the beam network. In this work, we present a computational modeling framework for simulating beam failures and thereby closing the gap to physically based micromechanical modeling of paper and packaging products. Modeling beam failure is a challenging engineering problem. At the onset of failure, the tangent stiffness tensor projected in a direction normal to the surface of discontinuity (commonly referred to as the localization tensor) is singular, i.e. we have a bifurcation point and the problem is ill-posed. Another implication of ill-posedness for the numerical simulation after a spatial discretization is a pathological mesh dependency of the computed result. We use the ED-FEM where a failure process zone (FPZ) is introduced into a multi-scale continuum mechanics formulation (i.e. the material is split into a small scale and a large scale defining the FPZ and the bulk material, respectively), making the computed result mesh independent. The multi-scale nature of the ED-FEM enables an operator splitting implementation method as opposed to carrying out the computations of the nodal displacement vector and the displacement discontinuity vector simultaneously with the global loop where the global stiffness matrix would be singular at the onset of failure. We show that fiber failures and fiber-fiber bond failures can contribute to the observed elastoplastic stress-strain response of paper.

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).

In recent years IPTV (Internet Protocol Television) platforms are becoming one of the most popular entertainment multimedia services which are used to serve movies, tv-series and other video and audio attractive content using the Internet Protocol. VoD (Video on Demand) is the most popular multimedia IPTV service, which provides content without the need for the old traditional way of using video playback devices. Except that it is necessary to have high-quality VoD content, IPTV platforms must provide the best end-user experience. Moreover, it is imperative to provide new features to attract new customers and keep the existing ones. We confirmed the efficacy of this classifier thru simple trial and error. When we searched for movies that have sequels, our engine recommended those sequels. Since Cosine Similarity Classifier considers multiple factors, such as actor, genre, year, etc. Even if the movie does not have prequels or sequels this algorithm was able to provide us with movies that share other common characteristics.

COVID-19 pandemic brought many changes in people’s lifestyles. Some of those changes hurt people's mental health in different age groups. This research is done to investigate which factors contributed most to the occurrence of depressive and anxiety symptoms during COVID-19 lockdown, and what type of people in terms of age, sex, level of education, place of living, was the most exposed to the appearance of mental health disorders. 1115 people (18-85 years old) from Poland joined the research process. They fulfilled online questionnaires which were used as a basis for further research of lockdown impact on mental health. Responses are evaluated by using ML tools predicting the group of participants with signs of depression and anxiety, based on their answers to the questionnaires, and the attributes of the participants. Based on the results given by the studies, the youngest population (age 18-29), which participated in the surveys, experienced more intense depression and anxiety symptoms than participants from other age groups.