Introduction. Visual-motor integration (VMI) is defined as the degree to which visual perception (VP) and finger-hand movements are well coordinated. The VMI consists of two components: VP and motor coordination (MC). The main goal of our research was to determine whether there are differences in age and gender categories in VMI, VP and MC scores, as well as whether there is a correlation between VMI and school success of younger school-aged children. Methods. Out of 103 student respondents, 52 were female (50.5%), aged 6 to 11 years (8.05 ± 1.44 years), divided into two groups according to age: 6-8 years (first, second and third grade) and 9-11 years (fourth to fifth grade). Data on the level of VMI were obtained by applying the following tests: Beery-Buktenica Developmental Test of VMI, VP test and MC test. Results. In the older age group of subjects, a significant difference was observed in the mean values of the score on the VMI (12.67 ± 1.92), VP (23.69 ± 3.21) and MC (24.34 ± 3.23) tests comparing to the younger group of subjects (9.98 ± 2.12; 20.80 ± 3.2; 19.65 ± 3.82) (p < 0.001), while the difference in the mean values of scores in relation to gender was not observed. A significant, positive and strong correlation was observed between the scores on the VMI, VP and MC test with the success of second to fifth grade students (p < 0.050). Conclusion. Given such a strong correlation between VMI and the success of younger students, we conclude that it is important that VMI disabilities are identified in time, so that these students can be referred for further assessment and receive the necessary support.

Modern technologies, in addition to making people's lives easier, faster and better, enable the combination of different technologies to develop solutions to various problems. Global warming is one of the biggest and most dangerous problems facing planet earth. If global warming were presented as a coin, then air pollution and climate change would be two sides of the same coin. Climate change is primarily a problem that has arisen due to the large amount of carbon dioxide (CO2 ) in the atmosphere. Carbon overload occurs mainly due to the combustion of fossil fuels such as coal, oil and gas, or the cutting and burning of forests. There are other harmful gases but CO2 stands out because it poses the greatest risk of irreversible change if it continues to accumulate in the atmosphere. This paper presents a number of different solutions by combining modern technologies for the problem of CO2 emissions globally, where Bosnia and Herzegovina is particularly singled out as one of the countries with the most polluted air in Europe and with the highest mortality rate associated with air pollution. Smart cities use digital technologies, aim to improve the quality of human life and to enable the protection of the environment. The concept of a smart city is described as a set of modern technologies, examples of leading smart cities in the world are given, as well as the advantages of implementing such a solution.

Purpose: The aim of this paper is to provide an overview and analysis of literature dealing with the possibilities for applying augmented reality (AR) in marketing and the impact of AR on marketing in the era of digital transformation of business. Though attractive, this topic is still insufficiently explored. Methodology: The paper uses a bibliometric method - citation and co-citation analysis in the Web of Science and Scopus citation databases. Data analysis was performed using the VOSviewer software tool for information construction, analysis and visualization. Results: The conducted research revealed that there is an increasing trend in the number of research papers dealing with the AR and marketing topics. The specific topics dealt with in the papers are primarily related to the impact of AR on business, creating customer loyalty, sales increase and other marketing activities. Conclusion: AR is a powerful and influential tool the use of which improves communication with customers and, at the same time, sales strategies and processes. AR is based on immersing customers into a new experience, by showing virtual objects in the users’ real-world environment and creating harmony between the digital and the real-world environment so that the boundaries between them disappear. It is manifested as a form of experiential marketing, since it focuses both on a product and a service, and on the entire experience created for customers.

The article presents an approach aimed at automatically deriving the initial conceptual database model from a set of business process models. The approach proposes the incremental synthesis of the target model by iteratively composing the partial conceptual database models that are derived from the models contained in the source set. The approach is implemented by the AMADEOS tool, which is the first online web-based tool enabling the automatic derivation of the conceptual database model from a set of business process models. The experimental evaluation proves that the implemented approach enables effective automatic derivation of the initial conceptual database model.

: Introduction Th e concept of the quality of healthcare services is constantly evolving and transforming depending on the interest in it and the level of involvement of medical sta ff and patients. Aim To assess patient satisfaction with the quality of health services in private practice condition. Methods 105 (n=105) subjects participated in the study, and it was conducted by an anonymous survey of the clinic which o ff ers medical services, tests, and diagnostic procedures in the fi elds of gynecology, internal medicine, surgery, radiology, urology, and neurology. Th e research was conducted among patients who used the health services of a private practice institution from January to September 2022. Th e patient questionnaire consisted of 14 questions. Five questions related to identifying the sociodemographic characteristics of the respondents, and 9 questions were research questions of the Lickert type. For this purpose, the standardized Laschinger HCAHPS ( Hospital Consumer Assessment of Healthcare Providers and Systems ) questionnaire on patient satisfaction with the quality of healthcare services was used. Di ff erences in numerical variables were tested by Student’s t-test or analysis of variance (ANOVA). All P values are two-sided (p<0.05). Th e statistical program MedCalc Statistical Software version 18.2.1 was used for statistical analysis. Results Th e research was conducted on 105 patients, 28% of whom were male and 72% female. Most patients were in the age group of 61 to 70 years (30%). Patients are satis fi ed with the quality of healthcare services. Th e highest average score for reception and waiting time (4.9), the lowest score for being informed about upcoming interventions and treatments and professional approach (4.68). Conclusion Patients show a high degree of satisfaction with the general services provided.

Digital technologies change the way how manufacturing firms create offers for customers. These new technologies transform traditional Product-Service Systems into Digital Product-Service Systems. This paper investigates the use of digital technologies for the creation of new products and smart services in manufacturing firms. Additionally, this paper investigates the service orientation in Product-Service Systems. The data for this research were collected at the end of 2021 through the ASAP Service Management Forum in the manufacturing sector of the Republic of Serbia. The empirical results indicate that more than 60% of manufacturing firms use digital technologies for the creation of new products and less than 50% for the creation of new smart services. Moreover, results indicated that most services are product-oriented with 25% of share in a sample, followed by results-oriented services with 20% of share in a sample and use-oriented services with 11% of share in the total sample.

Circulation of the Omicron variant with the reemergence of the N501Y mutation along with many others in the spike protein has once again stirred the academic community. Interestingly, tracing the genetic diversity of SARS-CoV-2 shed light on a less frequent N501Y+ Delta variant which has been in the global circulation for some time before the Omicron appearance. This paper aims to present the molecular characteristics of the SARS-CoV-2 Spike_N501Y+ Delta variant detected in Bosnia and Herzegovina. The study was conducted during November and December 2021. All patients were tested using real-time RT-PCR for detection of SARS-CoV-2. A representative number of SARS-CoV-2 positive samples was pre-screened using VirSNiP SARS-CoV-2 Spike N501Y kit. The characterization of the viruses was carried out with Illumina RNA Prep with enrichment and the Respiratory Virus Oligo Panel kit. Among the analyzed sequences, we found two isolates of the Delta variant that differ from their most related clade- GK AY.4.3 in additional mutations N501Y and L54F. In this study, we described the presence of a rare form of Delta variant with Spike_N501Y mutation in the shadow of the Omicron emergence. Despite the set of mutations in the Spike protein, this form of Delta variant does not indicate the large-scale consequences for the general population. Further functional studies of this form could provide more information about its antigenicity and infectivity.

Introduction: Machine learning (ML) plays a significant role in the fight against the COVID-19 (officially known as SARS-CoV-2) pandemic. ML techniques enable the rapid detection of patterns and trends in large datasets. Therefore, ML provides efficient methods to generate knowledge from structured and unstructured data. This potential is particularly significant when the pandemic affects all aspects of human life. It is necessary to collect a large amount of data to identify methods to prevent the spread of infection, early detection, reduction of consequences, and finding appropriate medicine. Modern information and communication technologies (ICT) such as the Internet of Things (IoT) allow the collection of large amounts of data from various sources. Thus, we can create predictive ML-based models for assessments, predictions, and decisions. Methods: This is a review article based on previous studies and scientifically proven knowledge. In this paper, bibliometric data from authoritative databases of research publications (Web of Science, Scopus, PubMed) are combined for bibliometric analyses in the context of ML applications for COVID-19. Aim: This paper reviews some ML-based applications used for mitigating COVID-19. We aimed to identify and review ML potentials and solutions for mitigating the COVID-19 pandemic as well as to present some of the most commonly used ML techniques, algorithms, and datasets applied in the context of COVID-19. Also, we provided some insights into specific emerging ideas and open issues to facilitate future research. Conclusion: ML is an effective tool for diagnosing and early detection of symptoms, predicting the spread of a pandemic, developing medicines and vaccines, etc.

We aimed to investigate whether the addition of whole-body vibration (WBV) to resistance training (RT) will be more beneficial in improving lower limbs muscle strength, power and sprinting performance than RT alone in young basketball players. We recruited 30 young basketball players to participate in four weeks of training and assessments. They were randomized into the WBV resistance training group (VRTG, n=15) and a conventional resistance training group (RTG, n=15), performed 3 times per week. At the beginning and end of the four weeks a back squat one-repetition maximum (1RMBS), Countermovement jump (CMJ), Squat jump (SJ), 10 meters (10m) and 20 meters sprint (20m) were performed. We found that: a) VRTG when added to RT can induce greater improvements in 1RMBS (percentage difference [PD], 8.4%, p < 0.001), CMJ (PD = 4.7%, p = 0.001) and SJ (PD = 1.6, p = 0.02) than RT alone. In contrary, significant time*group interactions were found for sprint times at 10m (p=0.08, F=3.2) and 20m (p=0.17, F=1.93). An additional 4-week WBV resistance training program proved effective in improving lower limb power and strength in young basketball players. When performed on a vibration platform (with accurate and constant vibration stimulus parameters), the resistance exercises were superior to their conventional forms and resulted in additional gains on measures of muscle power and strength, while sprint performance remained unchanged.