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.

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.

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.

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.

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.