The clinical outcome of chronic mitral regurgitation (MR) in children and adolescents, specifically the time it takes for Mr to develop significant changes in the configuration and function of the left atrium (LA), is a relatively understudied area. Numerous echocardiographic parameters demonstrate significant changes in the size, volume, and functional behavior of the LA; however, they lack the ability for early and fine detection of LA dysfunction. Left atrial strain (LAS) analysis represents a newer non-invasive technique for assessing LA function and early detection of its deformation and dysfunction. In the analysis of patients with chronic and significant Mr, it emerges as a method that could verify early deformative, functional, and possibly fibrotic changes in the LA and thus predispose rhythm disturbances and clinical manifestations. This study relates to strain analysis of LA function, which can have prognostic and clinical implications in pediatric cardiology and be of great assistance in deciding when to initiate Mr treatment.

Background: HLA-A gene is one of the most polymorphic loci in human genome and its variants influence disease susceptibility and immune checkpoint inhibitor (ICI) therapy response. HLA-A*03 allele has been identified as a biomarker associated with poor ICI response. Objective: This study aimed to characterize HLA-A allele and genotype frequencies in the Bosnian population, assess sex specific differences, and evaluate the prevalence of HLA-A*03. Methods: Blood samples from 75 individuals were analyzed. Genomic DNA was isolated using the Miller method, and HLA-A typing was performed using PCR with sequence specific primers (PCR-SSP). Polymorphism parameters were calculated using PowerMarker v3.25. Differences between males and females were assessed using chi square and Fisher’s exact tests. Results: Twelve HLA-A allelic groups and 28 genotypes were identified. The most frequent alleles were HLA-A*02 (33.33%), A*01 (16.67%), A*24 (11.33%), A*03 (10%), and A*11 (8%). The most common genotypes were HLA-A*01/*02 (12%), A*02/*02 (12%), and A*02/*03 (8%). Females showed significantly higher frequencies of HLA-A*02, A*03, and A*31, as well as genotypes HLA-A*02/*03, A*02/*11, and A*02/*31. The population exhibited high polymorphism (heterozygosity 0.8667; gene diversity 0.8232; PIC 0.8054). Strong similarity with European and Western groups and substantial divergence from East Asian and African populations were detected. Conclusion: The Bosnian population demonstrates high HLA-A polymorphism, with HLA-A*02 as the most common allele. Females more frequently carry the HLA-A*03 allele and several related genotypes, suggesting potential sex specific implications for ICI therapy response. These findings provide a foundation for future studies investigating the clinical relevance of HLA-A variation in Bosnian cancer patients undergoing immunotherapy.

Sarajevo and Mostar, the most visited destinations in Bosnia and Herzegovina (BiH), are well known for their gastronomic offerings. Influenced by diverse traditions and cultures, their culinary scenes reflect a notable influence of the Ottoman Empire. Both destinations boast numerous restaurants serving delicious dishes from both local and international cuisines. As online review platforms are a leading source of information in hospitality and tourism, this paper analyses TripAdvisor reviews of 56 restaurants in Sarajevo and 21 restaurants in Mostar that specialize in offering local cuisine. Given that traditional dishes have become a key factor in destination selection and tourist attraction, the aim of this study is to assess tourist satisfaction and highlight similarities and differences in perceptions of the local gastronomic offer in Sarajevo and Mostar. The research findings indicate that the most influential factor in tourist satisfaction is the balance between food quality and price. Interestingly, in both destinations, tourists perceive the local cuisine as Bosnian cuisine. The results of this analysis may serve as a valuable tool for policymakers and businesses to develop and effectively promote local gastronomic offerings.

Background: Lyme disease represent an emergent zoonosis caused by the spirochete Borrelia burgdorferi. The disease is transmitted from animals to humans by hematophagous insects, primarily ticks. The question of the existence of chronic borreliosis in children and adults is today a stumbling block in diagnostics and therapy at the global level. Objective: The aim of this article is to answer the questions: is the diagnosis of Lyme disease complicated and is Borrelia burgdorferi the cause of chronic Lyme disease in children and adults. Methods: A retrospective-prospective clinical study of outpatients treated and monitored in a private infectious disease clinic over 13 years from January 1, 2013 – November 30, 2025 was conducted. The study was clinical, descriptive and analytical, and was conducted in three phases; the first retrospective and two prospective phases. The diagnosis of the disease was made on the basis of anamnestic-epidemiological data, clinical picture, clinical findings of new clinical markers and the course of the disease, and verified by serological detection of specific antibodies using ELISA, WB methods, detection of antibodies to protein sequences by Immunoblot0m, and detection of Borrelia burgdorferi bacteria in serum using a light microscope in a dark field. Results: In the investigated period, a total of 1,095 patients with Lyme disease symptoms were treated. Of that number, 120 children and 975 adults were treated. M : F = 436 : 659. The average age of children was 10.7 years, and of adults 50.1 years. 11.62% of patients had an acute and subacute phase of the disease, the rest were chronic patients with Lyme disease, children and adults. Out of 105 patients who were examined for Borrelia by light microscopy in the dark field, Borrelia was confirmed in 31 patients before therapy and in 19 relapses. In 21 patients before the therapy, as expected, Borrelia was not found in the blood, nor in 46 controls after the therapy, which was carried out intermittently for more than 50 days. In 3 patients, who had a slow recovery, Borrelia was found in the blood after 30 and 80 days of intermittent therapy. Conclusion: Lyme borreliosis is a persistent infection and in susceptible individuals it has a chronic remitting course. Diagnosis of the disease is simple if an individual approach is adopted, an adequate history is taken, new clinical markers are found on the skin and confirmed by the detection of antibodies to the Borrelia protein sequences in Immunoblot. The confirmatory test is the detection of Borrelia by light microscopy in the dark field. Chronic borreliosis in children and adults and vertical transmission from mother to child are unquestionable.

The numerical simulation of friction stir welded T-joints made of AA2024 T3is investigated. Analysis of heat generation due to friction and plastic workis performed, as well as of the reaction force in the normal direction duringthe plunge stage of the friction stir welding. The effect of joint geometry isstudied for butt joints and T-joints produced from the same material.Different tool rotation speeds and tool pin lengths were considered forT-joint FSW welding. It was shown that the temperature at the root of theweld below the tool pin is lower in the T-joint than in the butt joint, due tothe efficient conduction of the heat produced through the normal plate. Also,the reaction force was higher for the T-joint than for the butt joint; so, heatproduction by friction was more intense in comparison with the heatproduced by plastic deformation. The reaction force was moderatelyincreased for the tool with a shorter pin, increasing both components of theheat produced. An increase in the tool rotation speed decreased theresistance to the tool plunging into the T-joint, increasing the frictional heatand decreasing the amount of heat generated by plastic deformation.

Today’s accelerated construction of buildings generates a enormous number of reinforced concrete rooms in which people live and in which an increasing number of various electrical devices are installed. Since buildings are characteristic of urban areas, mostly polluted air, consisting of particulate and gaseous pollutants, gets inside them. The electrical devices generate an electromagnetic field in their environment that multiplies with the number of these devices. The electromagnetic field cannot leave the reinforced concrete construction of buildings because of the so-called Faraday cage. The electromagnetic field generator in this analysis is focused on the electric foil heating floor. In addition, polluted air has a deficit of negative oxygen ions, which is further reduced near electronic devices since they generate positive ions. Due to their extremely high mobility, ultrafine and fine particles quickly reach from the streets even to the highest floors of buildings. The triple synergistic impact caused by the generation of electromagnetic fields, positive ions and fine particles inside closed spaces is the subject of experimental analysis carried out in this paper. The conducted analysis is carried out when varying the working parameters within one room as a research polygon.

The growing need for reducing ܥܱଶemissions in the context of sustainable development has intensified the search for efficient analytical approaches to understand and manage emission drivers. In this paper, three machine learning models were developed using multiple linear regression for the countries of Bosnia and Herzegovina, Croatia and Slovenia. Renewable energy consumption, ܲܯଶ,ହ air pollution, ܦܩܲ per capita, foreign direct investment, urban population, forest area, and total population were used as inputs in the models, while ܥܱଶ emissions for the period from 2000 to 2020 were used as outputs. The developed models for all three countries have good performance, with ܴଶvalues of 91,34%, 77,91%, and 77,20% respectively. For Bosnia and Herzegovina urban population increases ܥܱଶemission, while renewable energy consumption and forest area decrease ܥܱଶ emission. In Croatia ܲܯଶ,ହ was the most influential factor that increases ܥܱଶemission.In Slovenia population growth decreases ܥܱଶ emissions, whileGDP per capita increases ܥܱଶ emissions. Also, hypothesis testing for differences between means was performed for all variables between all three countries. The findings showed that for almost all variables there were statistically significant differences in mean differences between all countries. Regarding ܥܱଶ emission there are not enough statistical evidence that Bosnia and Herzegovina have higher ܥܱଶ emissions than Croatia, while both Bosnia and Herzegovina, and Croatia have significantly higher ܥܱଶ emissions than Slovenia. This research shows the potential of machine learning models as tools for data-driven policymaking in the transition towards Industry 5.0 and a sustainable industrial future.

In Bosnia and Herzegovina, black alder appears in scattered smaller forest stands, fragments and patches that are still not spatially separated and allocated in management plans, despite its high ecological importance. The objective of this study is to model a black alder ecological niche considering combined effects of climate, hydrological and air quality determinants to support decision-making of conservation and restoration activities on a local/regional level. Black alder occurrence was registered on 72 temporary sample plots representing about 1500 trees in the Bosna River basin corresponding to Level 6, EU-Hydro River Network Database. Six climatic variables (average annual temperature, minimum temperature, maximum temperature, sum of temperature above 5°, sum of precipitation, maximum precipitation), five hydrological variables (average annual flow, minimum flow, maximum flow, flow between 1961–1990 and water level) and five air quality variables (average annual concentration of air particulate matter of PM2.5 and PM10 mm, SO2, NO2, maximum CO2) were interpolated spatially on 10 m grain size based on hydro-meteorological data from 13 national stations. The MaxEnt method was used to predict spatial distribution model, where predicted occurrence probabilities are classified in habitat suitability classes. The MaxEnt model revealed high-quality spatial prediction (AUC=0.95). The most significant determinants were average annual sum of precipitation and average annual 24-hour maximum CO2 concentration (cumulative about a 72% contribution). The highest occurrence probabilities were related to areas with less than 1400 mm of annual sum precipitation and elevated CO2 linked to low NO2. The areas with high species occurrence are mainly located in continental Bosnian Internal Dinarides in the valley and partly on hilly and sub-mountainous positions overlapping pedunculated oak-hornbeam and Illyrian sub-mountainous beech forests. Modeled ranges of precipitations and air variables concentrations indicate that black alder prefers continental low hilly and plane positions covering forest edges, although some suitable ecological niches are predicted in sub-urban and peri-urban green areas. The obtained model of species distribution determined spatially ecological niches important for conservation and restoration to maintain ecological services and biodiversity as well as aesthetic and recreational roles of black alder, which are important for local communities.