The aim of the study is to assess the frequency of clinical manifestations of nutritional allergies. This research was designed as a cross-sectional study conducted in the preschool institution "Dr Sima Milosevic". A specially created questionnaire for parents was used for the research. The questionnaire collected data that may have a direct or indirect significance on the occurrence of nutritional allergies. Descriptive and analytical statistical methods were used in statistical data processing. Of the total number of children, 41 children, or 1% of children, have nutritional allergies. The most common symptoms are related to skin changes (53.7%), changes on the lips (22%) and diarrhea (17.1%). Most children, 92.7%, do not have an anaphylactic manifestation of allergy, while 7.3% have an anaphylactic manifestation of allergy. Two children are allergic to eggs and have an anaphylactic manifestation of allergy, and one child is allergic to peanuts. Most children (11) who are allergic to milk have skin changes, i.e. atopic dermatitis, four children have changes on the lips, and four children have problems with the digestive tract, i.e. diarrhea. Three children who are allergic to wheat flour only have digestive tract symptoms, i.e. diarrhea. Early detection of nutritional allergies and preventive measures that are applied to reduce exposure to allergens by implementing an elimination diet and avoiding allergens from the environment can mitigate the consequences of nutritional allergies.

One of the tasks of mathematics education is to develop students' logical thinking. Logical problems that require a certain level of sharpness, ingenuity, and rational reasoning present a good challenge that can further motivate students to engage with mathematics. The progress of science and technology has led to the emergence of numerous tools that can be used in mathematics education. With the advent of artificial intelligence, these tools got a more active role as communication with users reached a new user-friendly dimension resembling human-to-human interaction. The unpredictability of the flow and the speed of development of artificial intelligence raises the question of whether it will ever reach or surpass the level of human sharpness and ingenuity. This paper illustrates inaccurate and partially accurate reasoning of artificial intelligence in solving logical problems.

This paper aimed to examine specific factors that influence and have prognostic power on the profitability of selected insurance companies in the Republic of Serbia. Panel data were used for four insurance companies operating in the Republic of Serbia from 2013 to 2022, to estimate a linear model between the determinants that are theoretically expected to affect the performance and profitability of insurance companies. The findings of the paper revealed that company size according to all three methods (method of least squares, method of fully modified least squares, and robust method of least squares) has a significantly positive influence on the profitability of insurance companies. Also, the growth rate of the premium according to the fully modified least squares method has a positive (significant) impact on the profitability indicator, i.e. ROA. Seen from the other side, the weakest i.e., negative (significant) impact on the profitability of insurance companies in the Republic of Serbia was achieved by the independent variable expense ratio.

The research was conducted in the area of Northern Serbia. The lowland hygrophilous forests of Gornji Srem where pedunculate oak is the dominant tree species were studied. In the paper was investigated the content of essential and non-essential heavy metals (Cu, Zn, As, Mn, Co, Pb, Ni, Cd) on two different soil types: hydromorphic (fluvisol) and automorphic (chernozem). Three experimental plots were analyzed on each soil type. Soil loading with heavy metals was studied by soil horizons. Based on the obtained results, it was established that the concentrations of all elements are within the allowed concentrations, except for nickel (Ni), whose values on some experimental plots and horizons exceed the maximum allowed concentrations. Content of all investigated elements are higher on fluvisol, except for As, whose amount is similar on both soil types. The obtained results indicate that the loading of heavy metals in both soil types is within the allowed limits and there is no significant negative impact on the development and production characteristics of the forest ecosystems located in researched area.

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Background: Tuberous Sclerosis Complex (TSC) is an autosomal dominant genetic disorder and involves multiple organs, intellectual disability and epilepsy. Mutations in TSC1 and TSC2 genes are responsible for the molecular disease mechanism. Objective: The aim is to determine molecular background of a patient with a suspicion of TSC. Case presentation: In this case report, we describe a seven year old patient with the clinical manifestation of TSC that includes supratentorial changes, subependymal hamartomas and angifibromas in the facial area. Besides the brain and skin changes, no other TSC characteristics were observed. The patient was referred to molecular genetic testing using Next Generation Sequencing (NGS). Results: Clinical exome sequencing revealed intronic TSC2 c.4849+2T>G variant. The variant was confirmed using Sanger sequencing on the subject. However, the variant was not detected in the parents, which indicated that it arose de-novo. The RegSNP-intron, Mutation Taster and Human Splicing Finder were used as a bioinformatic tools to predict the possible effect on protein. Using bioinformatic tools, it was determined that the variant is possibly damaging to protein. Conclusion: This data suggest that observed splicing intronic variant could be the cause of TSC in this pediatric patient.

Background: The scientific researchers have the role of interacting through published articles in scientific journals or presentations at scientific and professional conferences where they can affect the practices that can make achievements to society and country. or worldwide. Objective: The aim of this article was to describe bibliometric indexes and explained its importance for its evaluation and measuring quality assessment of published papers in scientific journals and advantages and disadvantages of current bibliometric portals for creating the list of universities and its academic staff by counts of deposited articles in databases and number of its citations. Methods: The author searched the most influential online databases and analyzed deposited papers by bibliometric indexes, and used a descriptive method to review important facts about bibliometrics experiences in scientific and academic practice. The author used facts deposited on the main international portals for analyzing number of citations of deposited scientific papers on Scopus and Google Scholar platform–h–Index and i10-Index and number of citations as basic data for created top list of most citated scientists in almost of all countries in the world. Results and Discussion: Bibliometric methods are used for quantitative analysis of written materials. Citation is influenced by: article quality, understanding of the article, language in which the article is written, loyalty to a group of researchers, article type, etc. Some indicators used in evaluating scientific work are Impact factor (IF); Citation of the article; Journal citations; Number and order of authors, etc. The index factor of influence depends on the quality of the journal, the language in which it was printed, the area it covers, and the journal distribution system. The portals and its platforms: Webometrics, “AD Scientific Index” and Stanford Bibliometric List are not fully relevant for measuring quality assessment of universities and its academic staff. Conclusion: Current academies and academicians can propose criteria how improve indexing scientific papers with the consultation of scientific bodies and experts at universities in one country, selected regions, or worldwide. These criteria should be necessary for quality assessment of the scientific curriculum of scientists and their published papers in scientific journals.

The research assessed the level of physical activity (PA) of boys and girls aged 11-14, as well as trends in PA levels. The sample included a total of 433 children aged 11-14, comprising 238 boys and 195 girls. PA was assessed using the FELS questionnaire, which included questions about the frequency of PA in sports, PA during leisure time, PA at home, and overall PA. To determine the trend in PA levels across specific domains and overall, trend analysis was applied, followed by comparisons using the LSD Post Hoc Test. Data were processed using the SPSS statistical package (p < .05). The results showed that boys had significantly higher levels of PA across all periods compared to girls. Significant changes in PA levels among boys were observed in the domain of PA in sports (Sig. = < .001) and overall PA (Sig. = .008). A significant decline in PA in sports among boys was noted between the ages of 11 and 13, as well as between 11 and 14 years, while the decline in overall PA was observed between the ages of 11 and 13. Among girls, a decline in PA in the domain of household chores was identified between the ages of 11 and 14. In the domain of overall PA, significant decreases were observed between the ages of 11 and 13, 11 and 14, 12 and 13, and 12 and 14. It was found that PA among children aged 11-14 significantly decreases around the ages of 12 and 13. Efforts should focus on promoting PA within this population group and identifying appropriate strategies to increase or at least maintain PA levels during this critical period.

Background: MitoWizz is an advanced bioinformatics tool designed for the analysis of the human mitochondrial genome, offering precise and efficient data interpretation. It enables comparisons of sequencing results obtained from various instrumental methods with the reference Andersen genome (rCRS), aiding in the identification of alterations. This capability is particularly valuable in forensic and clinical mitochondrial DNA analysis. Objective: The primary goal of developing MitoWizz is to automate and streamline mitochondrial DNA analysis, providing researchers and forensic experts with a fast, reliable, and comprehensive tool for sequence comparison, variation detection, and data validation. Methods: MitoWizz compares query sequences in opposed to the reference genome and allows direct comparison of two sequences to identify genetic variations. To ensure accuracy, the results are validated through the Clustal Omega W by aligning sequences with the human mitochondrial DNA reference from GenBank (NC_012920.1). Results: The software detected genetic variations and generated a visual report, as demonstrated in an analysis where 11 mutations were identified in various genes, with an 88% sequence identity to the reference genome. The accuracy of the detected alterations was further validated using the Omega Clustal W program. Conslusion: MitoWizz significantly reduces analysis time and enhances result reliability by integrating multiple analytical steps into a single platform. By automating mtDNA comparisons and validation, it provides forensic and research laboratories with a high-throughput, efficient solution for precise mitochondrial genome analysis.