Extensive research confirms the benefits of group work in various educational and business domains. There has, however, been little consideration to rigorous formation of groups, especially project teams, in software engineering disciplines to improve the outcomes of these groups. Previous studies show that the outcome of groups will be affected by a number of different factors, such as the context in which these groups interact, the characteristics and the behaviour of each individual and the group composition. This research evaluates the extent to which it is possible to enhance the group outcomes by systematically reconstructing the groups of students and hence improve the performances and raise the overall outcome level of a software engineering lecture at two universities, the Alpen-Adria University of Klagenfurt and the Technical University of Kosice. An empirical experiment has been carried out involving 69 groups and 140 individuals. The results of this experiment were then compared with historical data of 961 groups (approximately 2,400 students) on group outcomes over a period of 12 years. The findings show statistically significant improvements of the outcomes for those groups that were systematically constructed. These results could enable business leaders and educators to systematically form their groups for improving the outcomes of these groups.

In this paper, we investigate asynchronous coded caching in fog radio access networks (F-RAN). To minimize the fronthaul load, the encoding set collapsing rule and encoding set partition method are proposed to establish the relationship between the coded-multicasting contents in asynchronous and synchronous coded caching. Furthermore, a decentralized asynchronous coded caching scheme is proposed, which provides asynchronous and synchronous transmission methods for different delay requirements. The simulation results show that our proposed scheme creates considerable coded-multicasting opportunities in asynchronous request scenarios.

Random Fourier features is a widely used, simple, and effective technique for scaling up kernel methods. The existing theoretical analysis of the approach, however, remains focused on specific learning tasks and typically gives pessimistic bounds which are at odds with the empirical results. We tackle these problems and provide the first unified risk analysis of learning with random Fourier features using the squared error and Lipschitz continuous loss functions. In our bounds, the trade-off between the computational cost and the expected risk convergence rate is problem specific and expressed in terms of the regularization parameter and the \emph{number of effective degrees of freedom}. We study both the standard random Fourier features method for which we improve the existing bounds on the number of features required to guarantee the corresponding minimax risk convergence rate of kernel ridge regression, as well as a data-dependent modification which samples features proportional to \emph{ridge leverage scores} and further reduces the required number of features. As ridge leverage scores are expensive to compute, we devise a simple approximation scheme which provably reduces the computational cost without loss of statistical efficiency.

Mutation analysis in forensic genetics and occurrence of mutations at short-tandem repeat (STR) loci, are very important in paternity testing and precise elucidation of obtained genetic profiles. To determine these locus-specific mutations in Bosnian-Herzegovinian population and their rate, 15 or 22 autosomal loci were typed using PowerPlex 16 and PowerPlex Fusion systems. In total, 1253 individuals within 583 parenthood testing cases were profiled at the Institute for Genetic Engineering and Biotechnology, University of Sarajevo during the period from 2009-2018. Out of total cases, in 13 cases 14 mutations were discovered at 11 loci. Among all tested DNA profiles two mutations occurred at D8S1179, D18S51 and FGA loci each, and one mutation at PENTA D, D3S1358, CSF1P0, D21S11, D5S818, vWA, D16S539, PENTA E. Mutation rates were calculated for 11 loci and were in consistency with mutation rates reported for correspondent locus. In our study, one mutation at locus PENTA D derives from maternal source. Also in one trio paternity case two single-step mutations at loci D16S539 and D18S51 were observed. Our results confirmed mutation analysis is important in paternity testing and therefore much attention should be directed at their analysis

Introduction: Asthma is a global health problem that negatively affects various aspects of the quality of a person's life. The aim of the study was to examine the quality of life in children and adolescents with asthma and the correlation between the degree of asthma control and the quality of life.Methods: The cross-sectional study included 100 children and adolescents with asthma over a six-month period in 2015. The study used: Standardized Pediatric Asthma Quality of Life Questionnaire (PAQLQ(S)) for the assessment quality of life and the questionnaires for the assessment of asthma control for two age groups: Asthma Control Test (ACT) for adolescents and Childhood Asthma Control Test (C-ACT).Results: 62 boys and 38 girls aged 7−17, whose average age was 11.2 (s = 2.7) years were included in the study. The overall PAQLQ(S) score ranged between 3.30 and 7.00 with an average mean value of 5.95. The findings have showed that most children with asthma estimated their overall PAQLQ(S) on the positive end of the scale. The children reported more impairment in the domain of 'Emotion' (x = 5.84) than in 'Activities' and 'Symptoms'. The percentage of adolescents in the category of poor control (12.5 %) was significantly lower than in the group of children (25.0 %). In both groups of children, the sub-scale 'Symptoms' was in highest correlation with the degree of asthma control (r = 0.915, p < 0.01).Discussion and conclusion: In this study the children and adolescents with asthma showed an overall good quality of life. Control of asthma symptoms in children and adolescents positively influenced their quality of life.