Objectives Oral health in children is additionally burdened with the presence of dental fear and anxiety (DFA). These clinical psychologic entities in their progressive stages inevitably lead to avoidance of dental appointments, which makes prevention and therapy of oral diseases more difficult. Upon the onset of DFA in general, as one of the emotional outcomes of stress in a dental office, most children patients could define the specific stressors that were most intense for them, which could predict the presence of DFA. Aim To examine the predictors of DFA presence in 9-12-year-old children, and investigate how they could explain the DFA occurrence in study participants. Material and Methods The sample consisted of 200 children aged from 9 to 12 years. The DFA presence was determined by the modified version of the CFSS-DS scale. The child's behavior in the dental office during the treatment was evaluated by the trained observer using Venham anxiety and behavior rating scales. Socioeconomic status, characteristics of dental office visits, and previous caries experience were also analyzed. Results The main DFA predictors were related to invasive dental treatments, where the behavior during dental treatment was the most accurate expression of the DFA appearance. Conclusions Invasive dental procedures are the main stressful factor for DFA occurrence. Predisposing factors could strengthen the DFA occurrence.

Background: Zearalenone is a widely spread mycotoxin, contaminant of most cereal grains. It has uterotropic, estrogenic and anabolic activity in farm animals. The results are hormonal disbalances as hyperestrogenism, Zearalenone inhibits follicle-stimulating hormone production, thus supressing ovarian follicle development and ovulation. Also, it induces oxidative stress. Melatonin acts as a potent natural antioxidant and regulates the reproductive function by modification of steroidogenesis. Objective: The present study was conducted to provide detailed qualitative histological analysis of uterus of female rats treated with zearalenone and melatonin and contribute to better understanding of the topic. Methods: Forty adult, female Wistar rats were equally divided into five groups: Z group – zearalenone, 0,3 mg/kg, i.g.; M group – melatonin, 10 mg/kg, i.p.; ZM group –concomitant application of zearalenone and melatonin in the same dosing regimen, VZ group–zearalenone vehiculum/sunflower oil, i.g. and MZ group–melatonin vehiculum/5% ethanol in Ringer, i.p. Animals were treated daily for 28 consecutive days. After that period, all animals were sacrificed to obtain samples for qualitative histological analysis using the light microscope. Results: Zearalenone led to the alterations of the uterine structures, predominantly in the endometrium that were characterized by metaplasia and hypertrophy of the epithelial cells and hypercellularity of the stroma. In the myometrium, zearalenone induced hypertrophy and hyperplasia of the myocytes. Conclusion: Melatonin, when applied together with zearalenone, blocked the adverse effects of the zearalenone.

HEDY - Life in the AI era is a 2-year Erasmus+ project started in November 2021 targeting higher education audience. Its goal is to offer a comprehensive and shared view of how Artificial Intelligence (AI) is affecting our lives and reshaping our socioeconomic, cultural, and human environments and to define which topics related to AI are of interest to different university studies and how they should be addressed. Four specific free and accessible sources of information will be produced to reach these goals, the first of which is the Booklet, the subject of this paper. The Booklet is an essay defining the HEDY position on life in the AI era and its aim is to identify the challenges, opportunities and expected impact of AI on four different areas: business, governance, skills & competencies, and people & lifestyle. In this paper, we summarise the content of the Booklet. In particular, we describe our methodology to build our rationales based on collecting information from two sources: i) Literature survey, and ii) Focus groups. These two sources provide a unique contribution on AI panorama by combining state of the art research with first-hand opinions and debated questions, concerns, and ideas of interacting individuals. The main finding is that there is the necessity to train citizens in AI by providing teachings, courses and trainings in schools and higher education institutes to facilitate the use and adoption of AI for young people and future generations.

pH represents the concentration of free H+ in pine needles extracts (PNE) and is therefore an important initial parameter in quality control. Electrical conductivity and pH of samples of fresh and stored for 20 days of PNE with black cumin oil and olive oil had values of 0.00 due to the encapsulation of water molecules, pH and electrical conduction was not possible. The pH of the other samples was in a weakly acidic environment because the pH of natural pine needles is 3.8. Electrical conductivity values in all samples except pine needle extract and honey increased during storage. By monitoring the parameters of pH and electrical conductivity in the quality control of PNE, it gives us a significant insight into the physical state of the phases and the way of storage.

The rapid pace of change in technology, business models, and work practices is causing ever-increasing strain on the global workforce. Companies in every industry need to train professionals with updated skill-sets in a rapid and continuous manner. However, traditional educational models — university classes and in-person degrees— are increasingly incompatible with the needs of professionals, the market, and society as a whole. New models of education require more flexible, granular and affordable alternatives. MIT is currently developing a new educational framework called Agile Continuous Education (ACE). ACE describes workforce level education offered in a flexible, cost-effective and time-efficient manner by combining individual, group, and real-life mentored learning through multiple traditional and emerging learning modalities. This paper introduces the ACE framework along with its different learning approaches and modalities (e.g. asynchronous and synchronous online courses, virtual synchronous bootcamps, and real-life mentored apprenticeships and internships) and presents the MIT Refugee Action Hub (ReACT) as an illustrative example. MIT ReACT is an institute-wide effort to develop global education programs for underserved communities, including refugees, displaced persons, migrants and economically disadvantaged populations, with the goal of promoting the learner’s social integration and formal inclusion into the job market. MIT ReACT’s core programs are the Certificate in Computer and Data Science (CDS) and the MicroMasters in Data, Economics and Development Policy, which consist of a combination of online courses, bootcamps, and global apprenticeships. Currently, MIT ReACT has regional presence in the Middle East and North Africa, East Africa, South America, Asia, Europe and North America.

Background: Multiple sclerosis is a progressive inflammatory disease of the the central nervous system. Problems with sexual functions are the common features of multiple sclerosis and important factor that contribute to the quality of life among affected persons. Objective: The aim of the study was to evaluate the influence of sociodemographic and clinical characteristics on sexual functions domains of health related quality of life (HRQOL) in multiple sclerosis patients. Methods: This study included 100 MS patients treated at the Department of Neurology, Clinical Center University of Sarajevo. Inclusion criteria were an Expanded Disability Status Scale score between 1.0 and 6.5, age between 18 and 65 years, stable disease on enrollment. HRQOL was evaluated by the Multiple Sclerosis Quality of Life-54 questionnaire. Mann-Whitney and Kruskal-Wallis test were used for comparisons between sociodemographic and clinical characteristics and HRQOL scores. Results: Out of 60% of patients reported to have sexual dysfunction, and 55 % were female patients. Younger patients had statistical significant higher median value of sexual function score (91.68 vs. 58,28, p=0.001) and satisfaction with sexual life scores (62.5 vs 37.5 , p =0.019) comparing to older patients. Employed patients also showed statistical significant higher median value of sexual function score (82 vs. 66.7, p=0.003) comparing to unemployed patients and also statisticaly significant higher median scores considering satisfaction with sexual life among employed patients (p=0,001). There were no differences in sexual functions scores considering gender, marital status and education. Patients with higher level of disabilty, progressive type of disease, more relapses and longer diseas duration had statistical significant lower median value of sexual function score and also satifaction with sexual life scores, except for disease duration Conclusion: Aging, dysability and progression are major factors that contribute to lower sexual function scores and satisfaction with sexual life among multiple sclerosis patients. Althoug women reported sexual problems more often then men, impact of these problems on quality of life are similar in men and women with MS.

Gastrointestinal nematode (GIN) infections remain one of the most prevalent and important issue affecting ruminants worldwide. Until date, the majority of GIN control has relied on the administra-tion of chemical anthelmintic medications on a regular basis, in recent years, the problem of anthel-mintic resistance has reached new heights where it can no longer be ignored as a major issue in the control of parasites of livestock. Anthelmintics are generally used at farmers' discretion, with no restrictions to access to commercially available drugs and without any assistance from veterinarians. Thus, inadequate use of anthelmintics is not rare, animals are often treated excessively, interfering with production, accelerating selection of resistant parasites, and posing significant problems for the ruminant industry. The unusually high frequency of multi-drug resistance (MDR) in sheep and goat nematodes threatens the sustainability of small-ruminant enterprises in several parts of the world. Although resistance in horses and cattle nematodes has not yet reached the levels reported in small ruminants, data shows that resistance issues, particularly MDR worms, are rising in these hosts. Both innovative non-chemical parasite control methods and molecular tests capable of detecting resistant worms are urgently needed. Keywords: Anthelmintics; Multidrug resistance; Gastrointestinal nematodes; Ruminants; Preva-lence

This retrospective cohort study aimed to analyze the clinical manifestations, complications, and maternal-fetal outcomes in patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during delivery. The cohort included 61 pregnant women positive for SARS-CoV-2 infection at the time of delivery. Patients were divided into two groups: symptomatic and asymptomatic. We found a significantly higher rate of leukocytosis (p < 0.00078) and lymphopenia (p < 0.0024) in symptomatic women compared with asymptomatic ones. Other laboratory parameters, such as CRP (p = 0.002), AST (p = 0.007), LDH (p = 0.0142), ferritin (p = 0.0036), and D-dimer (p = 0.00124), were also significantly more often increased in the group of symptomatic pregnant women. Overall, symptomatic pregnant women with SARS-CoV-2 infection at the delivery show more often altered laboratory parameters compared with asymptomatic ones; nevertheless, they have a slightly higher but non-significant rate of preterm delivery, cesarean section, as well as lower neonatal birth weight and Apgar score, compared with asymptomatic women.

Introduction Menopause is the last physiological menstrual period and is a complex process involving the following: endocrine, genitourinary, cardiovascular, and locomotor system, and it leads to vasomotor symptoms and psychological complaints. This study aims to investigate the influence of smoking and body mass index (BMI) as risk factors on the age of onset of menopause in women in Bosnia and Herzegovina. Material and methods This study included 460 women in natural menopause. The study was conducted in 2 phases: interview and measurement of BMI. Each patient underwent an interview based on the questionnaire, following the verbal consent of the patient, who had previously been explained the nature of the research. Results The age at which menopause occurs increases with the BMI increase, and it can be described by the regression equation: age = 0.096 × BMI + 45.7, which has statistical significance. The mean age of menopause occurrence in current smokers was lower (47.5 ±0.4 years) than in non-smokers (48.8 ±0.2 years) (p = 0.010). Conclusions Our study confirmed the statistically significant correlation between smoking, BMI, and age of onset of menopause.

Currently, blockchain is one of the most innovative emerging digital technologies. As such, it can undermine traditional business models and revolutionize tax administration. This objective of this article is to present the potential of blockchain technology in the administration of specific tax categories such as payroll taxes, value added tax, international taxes, and customs. It also analyses blockchain technology’s strengths, weaknesses, opportunities, and threats (SWOT) with a focus on tax administration. As a generator of a substantial amount of information, tax administration requires reliable and efficient technology for processing and storing the information that is generated. The results of the analysis showed strengths such as a lower cost of fulfilling tax liabilities, a direct connection with taxpayers without the need of third parties. a higher degree of efficiency, and threats such as insufficient funds for modernization, knowledge and skills of employees, and willingness to adapt and high investment costs related to implementation. Moreover, it will modernize accounting and tax payments. Blockchain technology, digitalization, tax administration, SWOT analysis, digital economy, digital services, tax policy

ABSTRACT Population genetic studies have shown that the Bosnian-Herzegovinian (B&H) population is a part of the European gene pool, but there has been limited information on the genetic structure of ancient B&H populations. This study aimed to determine the frequency and distribution of mitochondrial DNA (mtDNA) haplogroups for a medieval Bosnian population. Thirty-four samples, excavated from medieval necropolises located within the borders of medieval Bosnia, were analyzed. Sequencing of the mtDNA hypervariable segment 1 (HVS1) region and RFLP analysis were performed for haplogroup determination. All 32 samples were identified as haplogroup H, with subhaplogroups H2a and H5 in 30 and 2 samples, respectively. The frequency of the H haplogroup was significantly different between the studied samples and previous studies of contemporary B&H populations, where the H haplogroup frequency was approximately half that of the ancient population studied here. A significant difference in H haplogroup frequency compared with other medieval populations outside of Bosnia was also observed: the ancient B&H population is most similar to ancient Italians. These results provide insight into the mitochondrial landscape of populations that inhabited the territory of present-day Bosnia and Herzegovina in the Middle Ages. Our study reveals that inhabitants of medieval Bosnia carried genetic lineages that exist today in B&H populations, suggesting continuity of mtDNA haplogroups over a long period of time, regardless of various historical demographic events that shaped the genetic structure of the modern B&H population.

Background: As the pandemic time went by in Bosnia and Herzegovina (B&H), various patterns toward COVID-19 itself and its impacts, implementation of prescribed preventive measures among the team members, and those of their patients, including immunization process, have been revealed. These patterns were of both empirical and evidence-based kind and consequently formed dental personnel behavior. The aim was to evaluate and compare the COVID-19 status of dentists in B&H, implementation of prescribed preventive measures, and usage of various kinds of PPE, at the beginning of the pandemics and now, 2.5 years later, including dentists’ current vaccination status, and their opinions and attitudes toward the national COVID-19 economic impact on dental practice. Methodology: Study research was in a form of a cross-sectional longitudinally designed online survey and was conducted in two parts. Results and conclusions: Dental professionals in B&H had a high frequency of COVID-19 symptoms in the second pandemic year. The vaccination status of dentists in B&H was in line with the global average values of vaccinated professionals. Dentists used patient management preventive measures and PPE recommended by WHO, but some preventive measures have been changed and prioritized recently. The economic impact of pandemics on dentistry was predominantly negative.

Blind signal recognition (BSR) is a significant research topic in the field of intelligent signal processing. However, existing BSR of space-time block codes (STBC) mainly depends on conventional algorithms, which require priori information and can only identify a relatively limited amount of STBC. Although deep learning (DL) has been widely used in signal recognition, so far there are few studies on BSR of STBC in multiple-input multiple-output (MIMO) systems using DL. In this paper, a blind recognition approach for STBC based on multichannel convolutional neural network (MCNN) is proposed. By leveraging the structure of multiple input channel, the in-phase and quadrature (IQ) channel information of STBC signals can be comprehensively extracted. Simulation results demonstrate that the proposed algorithm extends the recognizable STBC codes to 6, and can also improve the recognition accuracy in comparison to traditional convolutional neural network (CNN). The model proposed in this paper has been validated with two datasets and experimentally proved to be well generalized.