Abstract The objective of the article is to investigate the effects of the stage of integration on convergence in the European Union. The relationships between the selected macro-economic variables and per capita GDP growth rate are econometrically tested for the period 2004–2018 and three sub-periods: the pre-crisis period 2004–2008, the crisis period 2009–2013, and the post-crisis period 2014–2018. Convergence is estimated using ordinary least squares (OLS) semi-log regression based on cross-sectional data. The findings show that convergence rates range between 1.9 percent and 4.8 percent. The positive effects of deeper integration are identified, as well as the negative effects of the 2008/2009 crisis. The empirical results suggest that the selected variables have an impact on the per capita GDP growth rate in at least one analyzed period.

Background: Epilepsy is a brain disorder characterised by unpredictable and excessive nerve cell activity that causes epileptic seizures. Epileptic seizures are more common in children and adolescents than in elderly population. Electroencephalography (EEG) is a diagram of electrical activity of the brain and it is used as a method of choice for diagnosing epilepsy. Despite the accurate EEG tracing of electrical activity in the brain, the disadvantage of this type of analysing is the doctor’s skill to read the EEG correctly. Objective: The aim of this study was ro represents further research presented in our pevious works with wavelet based EEG analysis after masuring a multiresolution as relation between time and frequency resolution. Methods: Signal database set consist of 51 patients: a) healthy patient; b) 50 patients with a diagnosis of epilepsy. Additional characteristics of the analysed data: a) 19 signals-channels of EEG, b) Duration – 20 s or 2688 samples and. Nowadays, we can find dozens of EEG signal analysis papers using mathematical approach and with a focus on identification of epilepsy. Results: This paper represents some results relating to the analysis of EEG in children using Wavelet Transform (WT). The signals was collected and analysed at the Department of neuropediatrics, Pediatric Clinic at the University Clinical Center, University of Sarajevo. Conclusion: Using this approach it is possible to clearly differentiate patients with a diagnosis of epilepsy from healthy ones.

SUMMARY The aim of this cross-sectional study was to investigate the occurrence of chromosomal abnormalities through the frequency of micronuclei and other genomic damage markers in patients with chronic generalized periodontitis and without periodontal disease. Micronucleus assay was performed in exfoliated gingival epithelial cells of 35 patients with generalized chronic periodontitis and 30 control subjects with healthy periodontium. Full mouth clinical examination was performed to define periodontal condition. The mean number of cells with micronuclei observed in chronic periodontitis and control groups was 1.8 (±1.49) and 2.0 (±1.34), respectively. Differences between the groups were not significant (p=0.574). Compared to control subjects, patients with chronic periodontitis showed a significant increase in the number of binucleated cells (p≤0.001) and number of cells with nucleoplasmic bridges (p=0.042). Study results indicated that chronic periodontitis was not associated with higher occurrence of chromosomal damage in gingival cells compared to individuals with healthy periodontium.

Antimicrobial resistance (AMR) is a high priority across countries as it increases morbidity, mortality and costs. Concerns with AMR have resulted in multiple initiatives internationally, nationally and regionally to enhance appropriate antibiotic utilization across sectors to reduce AMR, with the overuse of antibiotics exacerbated by the COVID-19 pandemic. Effectively tackling AMR is crucial for all countries. Principally a narrative review of ongoing activities across sectors was undertaken to improve antimicrobial use and address issues with vaccines including COVID-19. Point prevalence surveys have been successful in hospitals to identify areas for quality improvement programs, principally centering on antimicrobial stewardship programs. These include reducing prolonged antibiotic use to prevent surgical site infections. Multiple activities centering on education have been successful in reducing inappropriate prescribing and dispensing of antimicrobials in ambulatory care for essentially viral infections such as acute respiratory infections. It is imperative to develop new quality indicators for ambulatory care given current concerns, and instigate programs with clear public health messaging to reduce misinformation, essential for pandemics. Regular access to effective treatments is needed to reduce resistance to treatments for HIV, malaria and tuberculosis. Key stakeholder groups can instigate multiple initiatives to reduce AMR. These need to be followed up.

Abstract At the end of December 2019, first identified cases of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) started emerging. Ever since the emergence of the first case of infection with SARS-CoV-2 or COVID-19, it became the hottest research topic of numerous studies, in which scientists are trying to understand the path of infection, transmission, replication and viral action, all in order of finding a potential cure or vaccine applying various fundamental principles and methodologies. Using in silico method via AutoDock Vina 1.1.2., we analysed the binding affinity of six selected compounds from grapefruit seed extract (GSE) (narirutin, naringin, naringenin, limonin, ascorbic acid and citric acid) to SARS-CoV-2 main protease Mpro (PDB ID: 6Y84), using acetoside, remdesivir and gallic acid as a positive controls of binding affinity. Results showed highest affinity (rmsd l.b. 0.000; rmsd u.b. 0.000) for narirutin (-10.5), then for naringin (-10.1), acetoside (-10.0), limonin (-9.9), remdesivir (-9.6), naringenin (-8.2), ascorbic acid (-6.7), citric acid (-6.4) and gallic acid (-6.4), all expressed in kcal/mol. Our findings suggest that selected compounds from grapefruit seed extract represent potential inhibitors of SARS-CoV-2 Mpro, but further research is needed as well as preclinical and clinical trials for final confirmation of inhibitory functionality of these compounds.

Abstract This study reveals novel data on adsorptive removal of Pb(II) from single metal solution, as well as from multi-metal solution containing Cd(II), Co(II), Cr(III), Cu(II), Fe(III), Mn(II), Ni(II) and Zn(II) ions along with Pb(II) using inorganic SiO2–MoO3 sorbent in a batch system. The results of multi-metal solution system were strongly pH-depended and due to occurred precipitation of Fe(III) in the form of hydroxide. The parameters affecting the sorption efficiency (contact time, sorbent dosage and initial analyte concentration) were evaluated for single solution system. The optimal conditions for SiO2–MoO3 sorbent indicated high affinity toward Pb(II) ions within following process parameters; pH value 3, sorbent dosage 50 ​mg and contact time 60 ​min for maximum Pb2+ concentration of 100 ​mg/L. The adsorption data for Pb(II) utilizing SiO2–MoO3 best fit to pseudo-second-order kinetic model (R2 ​= ​0.9998) and Langmuir isotherm model (R2 ​= ​0.9320) with an adsorption capacity of 222.20 ​mg/g and Reff >95%. According to thermodynamic study, the adsorption process is feasible, spontaneous and exothermic (ΔG ​= ​−18.6 ​kJ/mol, ΔH ​= ​−7.5 ​kJ/mol and ΔS ​= ​37.32 ​J/mol K). The results of present study demonstrated that SiO2–MoO3 material as a renewable sorbent for Pb(II) removal.

Abstract The enzymes of the cytochrome P450 superfamily play a critical role in phase I drug metabolism. Among them, CYP2C9 and CYP2C19 are clinically important, as they can mediate severe toxicity, therapy failure, and increased susceptibility to cancer and other diseases caused by chemicals. The aim of this study was to determine the prevalence of pharmacologically most important allelic variants of the CYP2C9 and CYP2C19 genes in the general population of the Republic of Srpska (Bosnia and Herzegovina) and to compare them with other populations. For this purpose we determined the genotype profile and allele frequency of 216 randomly selected healthy volunteers using real-time polymerase chain reaction (RT-PCR). The prevalence of the CYP2C9 *2 and *3 alleles was 13.6 and 7.4 %, respectively. Based on these frequencies, of the 216 participants four (1.86 %) were predicted to be poor metabolisers, 78 (36.11 %) intermediate, and the remaining 134 (62.03 %) normal metabolisers. Based on the prevalence of CYP2C19 *2 and *17 variants – 16.2 and 20.4 %, respectively – nine (4.17 %) were predicted to be poor, 57 (26.39 %) rapid, and nine (4.17 %) ultra-rapid metabolisers. We found no significant differences in allele frequencies in our population and populations from other European countries. These findings suggest that genetically determined phenotypes of CYP2C9 and CYP2C19 should be taken into consideration to minimise individual risk and improve benefits of drug therapy in the Republic of Srpska.

Linear regression analysis is one the most common methods for weather-normalizing energy data, where energy versus degree-days is plotted, quantifying the impacts of outside temperature on buildings’ energy use. However, this approach solely considers dry-bulb temperature, while other climate variables are ignored. In addition, depending on buildings’ internal loads, weather impact can be less influential, making the linear regression method not applicable for energy data normalization in internally driven buildings (such as research laboratory buildings, healthcare facilities, etc.). In this study, several existing buildings from different categories, all located on the University of Massachusetts Amherst campus and exposed to the same weather conditions in a heating-dominated climate, were analyzed. For all cases, regression of monthly steam use on heating degree-days and floor-area normalized steam data were used, investigating applicability of the former when the latter changes. It was found that internal loads can skew steam consumption, depending on the building functionality, making the effect of degree-days negligible. For laboratory-type buildings, besides heating and domestic hot water production, steam is also used for scientific experiments. Here, daily occupancy percentage, even during weekends and holidays, was higher than that of other buildings, indicating the intensity of scientific experiments performed. This significantly impacted steam consumption, resulting in higher floor-area-normalized steam usage. In these cases, steam use did not provide an outstanding correlation to heating degree-days. Whereas, for cases with other functionality-types and lower floor-area normalized steam, coefficients of determination in regressions were high. This study concludes that even for buildings located in the same climate, depending on how building functionality and occupancy schedule influence floor-area normalized steam use, multivariate linear regression can provide more accurate analysis, rather than simple linear regression of steam on heating degree-days.

Many components of the innate immune system are evolutionarily conserved and shared across many living organisms, from plants and invertebrates to humans. Therefore, these shared features can allow the comparative study of potentially dangerous substances, such as engineered nanoparticles (NPs). However, differences of methodology and procedure between diverse species and models make comparison of innate immune responses to NPs between organisms difficult in many cases. To this aim, this review provides an overview of suitable methods and assays that can be used to measure NP immune interactions across species in a multidisciplinary approach. The first part of this review describes the main innate immune defense characteristics of the selected models that can be associated to NPs exposure. In the second part, the different modes of exposure to NPs across models (considering isolated cells or whole organisms) and the main endpoints measured are discussed. In this synergistic perspective, we provide an overview of the current state of important cross-disciplinary immunological models to study NP-immune interactions and identify future research needs. As such, this paper could be used as a methodological reference point for future nano-immunosafety studies.

Hydrogenated vegetable oil (HVO) is a renewable diesel fuel used to replace petroleum diesel. The organic compounds in HVO are poorly characterized; therefore, toxicological properties could be different from petroleum diesel exhaust. The aim of this study was to evaluate the exposure and effective biomarkers in 18 individuals after short-term (3 h) exposure to HVO exhaust and petroleum diesel exhaust fumes. Liquid chromatography tandem mass spectrometry was used to analyze urinary biomarkers. A proximity extension assay was used for the measurement of inflammatory proteins in plasma samples. Short-term (3 h) exposure to HVO exhaust (PM1 ~1 µg/m3 and ~90 µg/m3 for vehicles with and without exhaust aftertreatment systems, respectively) did not increase any exposure biomarker, whereas petroleum diesel exhaust (PM1 ~300 µg/m3) increased urinary 4-MHA, a biomarker for p-xylene. HVO exhaust from the vehicle without exhaust aftertreatment system increased urinary 4-HNE-MA, a biomarker for lipid peroxidation, from 64 ng/mL urine (before exposure) to 141 ng/mL (24 h after exposure, p < 0.001). There was no differential expression of plasma inflammatory proteins between the HVO exhaust and control exposure group. In conclusion, short-term exposure to low concentrations of HVO exhaust did not increase urinary exposure biomarkers, but caused a slight increase in lipid peroxidation associated with the particle fraction.

Abstract The purpose of this paper is to advance the theory and contribute to the practice of luxury perfumes’ shelf management by decoding the relationship between attention on the shelf, purchase decision-making, and brand recall. It employs an eye-tracking experiment to analyze attention spans and fixations, which is combined with a questionnaire to uncover recall and purchase intent. The research identifies attention patterns and the influence of attention on recall and purchase intention. It further reveals the main factors that influence attention on the shelf in the luxury perfume industry. This is a milestone for further elaboration on the benefits of the fashion mainstream for luxury perfumes and the debate regarding whether luxury perfumes should be treated similar to mainstream fashion or similar to any other product in basic shelf management rules. This study enables shelf managers and marketers to place the perfumes both on the shelf and in consumer minds to maintain a top-of-the-mind brand position. Managerial implications are significant and address perfume industry packaging as well as shelf positioning.

Abstract This study explores revenue recognition and reporting expenses relevant to the stage of completion of the contract agreements. Literature suggests that the taxation effects financial reporting, realization of capital gains as well as revenue recognition. We argue that construction firms make use of these estimates to postpone revenue and value added tax recognition. The analysis grounds on the assumption that the value added tax effects timely recognition of revenues from construction agreements, where managers are incentivized to underestimating stage of completion and suppress recognition of gross earnings to better align emerging of the value tax related liability with contracted and expected inflows of cash. Results show that the revenue recognition is positively associated with reported income before tax and cost of material as a direct expense that can be allocated to the execution of construction agreements. These findings build baseline for future research that assesses effects of newly adopted standard IFRS 15 on real earnings management practice in construction industry of Bosnia and Herzegovina.

Various viruses can hide within fluid and solid structures and thus successfully cross different distances, causing the spread of viral infections. Analytical modeling of the triple treatment of virus within a small liquid droplet and within a solid porous particle is the basic research polygon of this paper. The three-stage treatment aims to maximize the efficacy of deactivating viruses indoors. In order to achieve this, viruses undergo treatment by infrared heating, ultraviolet deactivation and ionization–electrostatic deactivation by negative ions. When the droplets are treated with infrared heating, incomplete evaporation occurs, reducing their initial diameter by 10 times; an initial diameter of droplets is 0.01 mm, 0.03 mm and 0.05 mm. Thermal inactivation of viruses inside the droplets is almost negligible, due to short exposure time and a maximum temperature of 100 °C. On the other hand, when solid porous particles are heated to a much higher temperature at the same exposure time, this causes significant thermal inactivation of viruses inside them. Reducing the diameter of the droplet (due to evaporation) by 10 times causes a multiple increase in UV-C deactivation of viruses inside the droplets. The effect of UV-C radiation on viruses within solid porous particles is not included in this paper.

Background: The world was struck with a pandemic accompanied by maybe one of the most popular words out there right now, which is COVID-19. It has affected every aspect of life imaginable, especially in the medical sector particularly in our case dental care. Objective: This study goes on to analyse and assess the impact of COVID-19 on dental care in Bosnia and Herzegovina, varying from the staff, patients, supplies/equipment, and finances. Methods: An online survey and over-the-phone surveys were conducted, bringing in raw information to help with this study. Results: In total there were 10 different dental offices that information was obtained from. About 90% say that the pandemic has affected their patient flow, obviously due to some restrictions and regulations. And 60% say that the cost of PPE has increased since the pandemic started, while 40% said otherwise. Other data can be found in the rest of the study. Conclusion: Entering into the pandemic, dental practices quickly started to realize the seriousness of this situation, changing the way they do normal everyday work to accustom to this “new norm”. During such a problem, both sides have to participate to act upon accordingly to bring health and safety for everyone.

Background: The creation of corneal flap is considered to be the most critical part of laser in situ keratomileusis (LASIK) surgery. Currently, flaps can be created with mechanical micorkeratomes or femtosecond lasers. Objective: To analyze and compare flap characteristics created with two different methods for flap creation in Laser in situ keratomileusis (LASIK). Methods: This was a retrospective study. The thickness and morphology of the flap were compared between the two mechanical microkeratomes (group I – Moria M2, group II – Moria SBK One Use Plus) and femtosecond laser (group III – Ziemer Femto LDV). Central flap thickness was measured intraoperatively, while the flap profile was measured with anterior optical coherence tomography at two axes (90° and 180°) and 5 measuring points on the first day, the first week, and one month after the surgery. Results: Central flap thickness was 110.91±15.79 micrometers (µm) (80-164 µm) in group I, 98.08±13.33 µm (65-136 µm) in group II and 103.52±13.89 µm (66-138 µm) in group III. Anterior optical coherence tomography revealed a meniscus-shaped flap in all three groups at both axes (90° and 180°). The least variability in flap thickness was observed in group III (±6 µm). Conclusion: All three methods of flap creation provide good shape and thickness reproducibility. Ziemer Femto LDV femtosecond laser had the least variable flap thickness in a single flap. Mechanical microkeratomes had slightly lower performance.