With the increasing number of users and data on the Internet, especially social media sites, sentiment analysis topic became one of the important and essential fields for most. Collection of people's feelings and sentiment and classifying the data attracted most businesses and companies. Recently, twitter sentiment analysis has attracted much attention, because of Twitter's growth and popularity. The solution for handling enormous amounts of data from social media is a new term called Big data. Big data is not just for having a large amount of data, but also the importance of processing and the usage of the data.
of the age group of 6–12 years, and 10 patients of the age group of 12–18 years. Conclusions: Data suggest that pediatric cases of COVID-19 in adolescents have more severe symptoms than in the other age groups; however, in general children tend to cope much more easily with the virus than adults.
Introduction: Conventional cytogenetics by the use of standard karyotyping allows the study of numerical and structural chromosomal aberrations. Haematological malignancies include a number of cancer types that originate in the blood cells of the bone marrow or of the lymphatic system. Cytogenetic methods are traditionally used for the sake of diagnosis and prognosis of these diseases. However, with the ever more frequent use of molecular methods in the diagnostic laboratories, the importance of the conventional cytogenetic analysis in the diagnosis of haematological diseases needs to be reassessed. Aim: To evaluate the role of cytogenetic methods in the diagnosis of haematological malignancies. Materials and Methods: A retrospective analysis of cytogenetic findings of 146 patients with various haematological malignancies was performed. All of the findings were made over a period of three years at the Centre for Genetics at the Medical Faculty of the University of Sarajevo in Bosnia and Herzegovina. Microsoft Excel 2019 was used for the analysis and presentation of data in the form of tables and graphs. Results: The results of the present study showed that the use of conventional cytogenetic analysis is a good diagnostic method for 50.68% (74) of patients in whom chromosomal aberrations were detected. Conclusion: Cytogenetics remains the most comprehensive method for assessing chromosomal abnormalities due to its ability to detect clinically relevant aneuploidies and additional cytogenetic abnormalities that cannot be detected by locus-specific assays.
There is a view that playing sports is positively related to pupils' academic achievement. Results of studies worldwide indicate this correlation, while few studies have been done in Bosnia and Herzegovina on this problem. The current study aims to expand on findings from previous studies by examining associations between (1) mode: active vs. recreational); (2) type: individual vs. team based and (3) a particular kind of sports and academic achievement particularly math achievement among middle school children. Population involves middle school pupils in two urban areas in Bosnia and Herzegovina and research sample consists of 1036 female and 1055 male pupils wanting to take part in study voluntarily. Kruskal-Wallis and Wilcoxon test were conduced to obtain results. Results show that middle school pupils who are actively involved in sports have better overall midterm academic success as well as better mathematics achievement compared to those who are involved in sports recreationally or not at all (p < 0.001). On the other hand, differences do not occur between pupils who are engaged in team or individual sports. Also, pupils who practice football were found to have lower school performance compared to pupils who practice some of the other sports.
The purpose of this research is to provide some insights into socio-demographic determinants of predicting the likelihood of residents propensity to travel. Using the quota sampling technique, data collection was carried out from October to December 2019, yielding a sample of 632 valid responses. To gain a better understanding of the sociodemographic determinants of propensity to travel, we, primarily, use descriptive statistical analysis, chi-square test and probit regression model. The research findings have revealed that age, education and household income characteristics may be considered as antecedents of travel propensity of residents. Having in mind the impact that Covid-19 pandemic has on sector of tourism worldwide, and based on the results of this research, policymakers' efforts should be directed to promoting local tourist destinations and to enhancing tourism literacy of residents.
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