Objectives: Improved serological detection of specific antibodies against SARS-CoV-2 could help estimate the true number of infections. Methods: A total of 443 serum samples provided by unvaccinated patients of all ages with unknown COVID-19 status that were originally submitted for routine screening or clinical management from outpatient laboratory during the March–April 2021 (third wave) were collected. Seroprevalence of IgM/IgG antibodies was determined by lateral flow immunoassay (Tigsun, Beijing, China). Results: Among 443 serum samples, 186 (42.0%) were positive (incidence of 5.2/1000) with slight predominace of females, 104 (55.9%), highest seropositivity in 25–50 and 51–64 years age groups, 61 (32.8%) and 57 (30.6%), respectively (P < 0.05); rural population was more prevalent, 101 (54.3%) (P < 0.05) and active workers, 86 (41.1%). Almost equal number of patients was with or without symptoms, 48.4% and 51.6%, respectively. For the comparison, in the same period it was registered 296 (out of 855; 34.6%) PCR SARS-CoV-19 positive persons (incidence of 8.2/1000) with the higher gender (females) and the highest age prevalence in 51–64 years age group (36.8%). In the period March 2020–June 2021, it was registered 804 (out of 3323; 24.2%) (incidence of 22.3/1000) PCR SARS-CoV-19 positive persons with no significant gender and significant age difference (25–50 and 51–64 years group, respectively). Conclusion: In the regions with high prevalence/incidence of SARS-CoV-2 in the general population (Bosnia and Herzegovina is on the World top on the number of deaths) seroprevalence measuring can help tracking the spread of disease.

Purpose: The current study is theoretically grounded in the Technology Acceptance Model (TAM) and Social Influence Theory. It attempts to explain how acts of others influence attitudes and behaviors of individuals in the context of the adoption of cloud computing services. Methodology: The present study used the convenience sampling technique to conduct empirical research. Data collection was performed via an online survey. We used Partial Least Squares Structural Equation Modelling (PLS-SEM) to test the proposed research model. Results: Our findings suggest that a favorable social norm towards cloud computing services produces a positive and statistically significant effect on perceived ease of use, perceived usefulness, and willingness to use cloud computing services. In terms of mediating the role of perceived ease of use and perceived usefulness, findings revealed that perceived ease of use mediates the relationship between social norms and willingness to use cloud computing services. Conclusion: The present study advances our understanding of the role of social influence and individual perceptions of technology (i.e., usefulness and ease of use) in the intention to use technology in the cloud computing context.

Objective. Diabetes mellitus and arterial hypertension are chronic, mass non-communicable diseases that are global health problems with characteristics of epidemiology where complications of these diseases are the common reason for visual handicap and disability in the work productive population. The primary aim of this paper was to analyze the frequency of visual dysfunction, and behavioral habits in diabetic and hypertensive patients and the second aim was to analyze the occurrence of work disability in patients with these diseases. Methods. The research is a cross-sectional study made in two Health Centers in the City of Eastern Sarajevo in a period of July 2018 to July 2019 (12 months). 192 patients with diabetes and 100 patients with hypertension were selected using the random sampling method. A special questionnaire was created for this purpose, and statistic analysis was made by SPSS (IBM, Chicago version 19). Statistical significance was tested with ch2 test. Results. Diabetic patients significantly have more visual disturbances than hypertensive patients according to subjective assessment (ch2=14.21, p< 0.001). Worsening of visual acuity is presented more in diabetic than in hypertensive patients (ch2=6.17, p<0.001). There is no significant difference in behavioral habits between diabetic and hypertensive patients for smoking (ch2=1.778, p=0.411) and alcohol consumption.( ch2=2.158, p=0.142). Patients with diabetes are more frequent in the status of work disability than those with hypertension (ch2=13,46, p<0,001). Conclusion. Mass non-communicable diseases are a common cause of visual dysfunction. Diabetes mellitus is the main reason for visual disability in the adult population from the region of Eastern Sarajevo. Behavioral habits like smoking and alcohol consumption have a serious impact on the prognosis of those patients.

Under contemporary business conditions, there are numerous models used for the assessment of a company's financial situation and the prediction of the likelihood of its bankruptcy. These models have been mainly developed using the company's financial information. One of them is the Altman Z-score model. The model separates financially successful and stable companies from those having difficulties in business and headed for bankruptcy. This paper explains the importance of prudential information, basic financial statements and financial indicators and presents the research aimed at evaluating the applicability of the revised Altman Z'-score model in the Federation of Bosnia and Herzegovina (FBiH). Based on financial information, the paper analyzes the business activities of 50 large manufacturing companies in FBiH. The revised Z'-score model achieved a relatively good result in assessing the companies with business difficulties as it correctly classified 10 out of 20 companies; the other 10 companies were not incorrectly classified into the companies with the stable business but they were placed in the grey zone. The model proved completely reliable in the classification of all 30 companies with stable businesses. The research results indicate that the revised Altman Z'-score may be used as the predictor of the financial failure of manufacturing companies in FBiH. This model is definitely the tool that may assist while making business decisions. However, due to the specific business environment in FBiH, the model is recommended to be used as an additional rather than the basic indicator for predicting financial failure.

Background: Pretreatment differentiation between glioblastoma and metastasis is a frequently encountered dilemma in neurosurgical practice. Distinction is required for precise planning of resection or radiotherapy, and also for defining further diagnostic procedures. Morphology and spectroscopy imaging features are not specific and frequently overlap. This limitation of magnetic resonance imaging and magnetic resonance spectroscopy was the reason to initiate this study. The aim of the present study was to determine whether the dataset of diffusion tensor imaging metrics contains information which may be used for the distinction between primary and secondary intra-axial neoplasms. Methods: Two diffusion tensor imaging parameters were measured in 81 patients with an expansive, ring-enhancing, intra-axial lesion on standard magnetic resonance imaging (1.5 T system). All tumors were histologically verified glioblastoma or secondary deposit. For qualitative analysis, two regions of interest were defined: intratumoral and immediate peritumoral region (locations 1 and 2, respectively). Fractional anisotropy and mean difusivity values of both groups were compared. Additional test was performed to determine if there was a significant difference in mean values between two locations. Results: A statistically significant difference was found in fractional anisotropy values among two locations, with decreasing values in the direction of neoplastic infiltration, although such difference was not observed in fractional anisotropy values in the group with secondary tumors. Mean difusivity values did not appear helpful in differentiation between these two entities. In both groups there was no significant difference in mean difusivity values, neither in intratumoral nor in peritumoral location. Conclusion: The results of our study justify associating the diffusion tensor imaging technique to conventional morphologic magnetic resonance imaging as an additional diagnostic tool for the distinction between primary and secondary intra-axial lesions. Quantitative analysis of diffusion tensor imaging metric, in particular measurement of fractional anisotropy in peritumoral edema facilitates accurate diagnosis.

Background: Identifying risk factors for the occurrence of cardiovascular diseases (CVD) is the first step in developing a prevention strategy. Objective: The aim of the study is to investigate the presence of risk factors and assess the overall risk of developing cardiovascular disease. Methods:.This cross sectional and experimental study involved 203 respondents of both sexes from the working population group aged 40 to 65 years. Results: Hypertension was diagnosed in 154 (75,9%) respondents, hyperglycemia in 177 (87,19%) respondents, dyslipidemia in 182 (89,66%) respondents and Diabetes mellitus type 2 was diagnosed in 53 (26,1%) respondents. Excess body mass was observed in 84 (41,4%) respondents, while obesity was noted in 91 (44,8%) respondents, and smoking habit in 117 (57,6%) respondents. Analyzing the above data using Q3 risk assessment for cardiovascular disease occurrence, it was found that the overall Q3 risk was significantly higher in male respondents, 21,8 (12.4-30.6), while female respondents had a median value of 14,7 (14-22,5), with an apparent statistically significant difference of p=0,001. Conclusion: To establish a strategic prevention program to eliminate the existing risk factors can only be achieved through multidisciplinary planning and the involvement of a multidisciplinary team of experts that will help improve the lifestyle of the individual and the entire community. From this work, we can see that the Q3 risk tool is well suited for risk assessment because it incorporates multidisciplinary parameters, whereas lipid indices can only be useful in cardiovascular disease risk assessment by comparing all indices.

Background/Aim: Irritable bowel syndrome (IBS) belongs to the gastrointestinal disorders characterised by abdominal discomfort and pain, altered constipation, diarrhoea and stomach distension. The aim was to assess relationship between the selected genetic polymorphisms with IBS, their combined genotype effect as well as to assess a difference in the distribution of allele and genotype frequencies of selected loci between case and control group. Methods: This was a prospective study which included 29 participants, 20 individuals diagnosed with IBS based on Rome III criteria and 9 healthy individuals. The study analysed the selected genetic polymorphisms as possible risk factors for IBS according to the model of the case-control study. Genotyping was performed for FKBP5, DRD2 and DAT polymorphisms qualified as risk factors for IBS in previous researches. Results: The results revealed a significant association between DAT polymorphism with IBS, both, at the allelic level (p = 0.006) and genotype level (p = 0.031). Individuals with 434 allelic variant in the genotype have six time higher probability for developing IBS, in comparison to the individuals without this allelic variant. The statistical association between other analysed polymorphism and IBS was not reached. The analysis of combined effects of selected polymorphisms revealed no association with IBS, except FKBP5 and DAT which result was at the level of statistical significance (p = 0.05). Conclusion: Further analysis which would include DAT polymorphism with larger sample size, as well as other genes involved in dopamine neurotransmitter system would be of great interest to define closer conclusion of IBS aetiology.

Noise impact management goes hand in hand with the capability to predict the noise impact on exposed communities. Three tools to that purpose are presented in this chapter: the Noise Management Toolset (NMT), the Demo Virtual Community Tool (VCT) and Dynamic Noise Mapping. The NMT is a web-based tool giving stakeholders the opportunity to evaluate scenarios through not only noise exposure, but also noise impact, by introducing annoyance related metrics like the awakening index, with an easy-to-use interface. The VCT is the underlying research tool exploring and testing new indicators and options that might be of relevance to target audiences, such as land use planning information about location dependent activities or window insulation. The third approach, Dynamic Noise Mapping, adds the important aspect of population movement to classical noise mapping approaches where temporal changes of noise maps are tracked and included in noise exposure evaluation.