Bringing deep learning techniques to electromagnetic imaging is of interest considering its great success in various fields. Deep neural nets however are known for being data hungry machines, and in many practical cases, such as electromagnetic medical imaging, there is not enough to feed them. Scarcity of data necessitates reliance on simulations to generate a sufficiently large dataset for deep learning to perform any complicated task. Simulations however, can not perfectly represent real environments and therefore, any neural net trained on simulation data will invariably fail when evaluated on real data. This work customizes a deep domain adaptation technique for matching distributions of complex-valued electromagnetic data. We demonstrate the advantage of using complex-valued models over regular ones. An operational neural network trained on simulation data and adapted to practical data to perform brain injury localization is presented.

Coronavirus Disease 2019 (COVID-19), caused by the novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), persists as a threat to global health and continues to be a rapidly evolving condition. Although COVID19 is negatively correlated with the existing comorbidities in terms of the clinical outcome, the ability of SARS-CoV-2 to mediate the novel, or to exacerbate the existing autoimmune conditions, has generated considerable interest, due to its potential implications both with regard to patients suffering from autoimmune conditions, as well as to the long-term consequences of the disease. However, although molecular mimicry has been postulated as a potential causative factor in post-COVID19 autoimmunity and multi-organ damage, a substantial body of research needs to emerge in order to achieve a more definitive conclusion. We investigated the possibility of SARS-CoV-2 peptide sequences behaving as molecular mimics with a potential to trigger an autoimmune response. Thus, on the basis of analysis in silico, we were able to develop a plausible case for the molecular mimicry as a potential aetiological mechanism of SARS-CoV-2-mediated autoimmunity, both in a multi-organ damage context or outside of the viral phase of infection. Interestingly, this is the first time that the peptide sequence of MACROD1 has been implicated in the COVID-19 autoimmunity. Additionally, we also confirm that PARP9 and PARP14 may be involved in the process.

The main intention of this paper is to explore the possibility of positioning the discourse on adult identity formation within the context of higher education. To this end, first formational potential of higher education is revisited. Further on, Eriksonian psychosocial theoretical approach and Arnett's concept of emerging adulthood are proposed as the referential framework for conceptualizing adult identity formation processes. It is concluded that by offering instituzionalized moratorium and the possibility for the extended transition from adolescence to adulthood, higher education context provides intensive identity work opportunities. However, in dominant discourses, higher education's humanistic ends have been suppressed by economistic and utilitarian objectives. Therefore, this paper also urges revitalizing higher education's humanistic values by exploring personal growth posibilities.

We analyzed the efficiency of the insurance industry in Bosnia and Herzegovina (BiH) in the period from 2015 to 2019 in order to identify good and bad practices, sources of inefficiency and to propose guidelines for the necessary efficiency improvements based on the results. Efficiency measurement was performed using the nonparametric Data Envelopment Analysis (DEA) technique as the most commonly used tool for efficiency analysis in finance. We used one output and two input variables according to the input-oriented approach assuming a variable return to scale (VRS). Empirical research was conducted on all insurance companies from BiH, which are grouped according to the size of assets, type of insurance, and headquarters in order to determine whether there are differences in the efficiency of insurance companies in terms of their size, type of insurance, or depending on whether it operates in the Federation of Bosnia and Herzegovina (FBiH) or Republic of Srpska (RS). The results of the analysis indicate significant inefficiencies in the insurance sector in BiH, but also differences among the observed groups. The insurance sector is more efficient in FBiH compared to RS, and insurance companies in the composite insurance market are significantly more efficient than companies in the non-life insurance market. Finally, the research has showed a relatively high level of positive correlation between the size of an insurance company and its efficiency. According to all efficiency indicators, there is significant potential for efficiency improvement. Based on the analysis, the main causes of inefficiency were identified and guidelines for improving efficiency were proposed.

The attainment of reading and basic mathematical skills is one of the most important academic goals in early grades of elementary school. A plethora of studies has shown the importance of these skills to future academic achievements and professional career. The goal of this study was to determine the correlation of reading and mathematics in third-grade elementary school students in Canton Sarajevo. An additional goal was to determine if there are differences in the proportion of academic underachievement in relation to the student’s gender. The sample for this study consisted of 70 third-grade students (33 girls, 37 boys, mean age- 103,1 months, SD- 5,6 months) attending two elementary schools in Canton Sarajevo. Results of this study indicated that reading and mathematics share 25% of the variance in the scores. The cor[1]relation between reading and mathematics was r = 0,50, p<0,01. There were more boys in the category of academic underachievement in both, reading and mathematics. However, statistically significant differences in the distribution of students were present only for reading and not for mathematics. Identification of cognitive factors that contribute to reading attainment and mathematical skills will help teachers create better intervention programs. The article ends with some recommendations for teachers on how to improve these academic skills in their students><0,01. There were more boys in the category of academic underachievement in both, reading and mathematics. However, statistically significant differences in the distribution of students were present only for reading and not for mathematics. Identification of cognitive factors that contribute to reading attainment and mathematical skills will help teachers create better intervention programs. The article ends with some recommendations for teachers on how to improve these academic skills in their students