<p style="text-align: justify;"><span lang="EN-US">The advent of cloud computing has revolutionized the IT industry, transforming the way organizations store, manage and process data. This paper provides a comprehensive overview of the beginnings of cloud services, tracing their evolution from early concepts to the sophisticated solutions we have today. In addition, the document highlights the main benefits and challenges associated with cloud services. </span><span lang="EN-US">This paper provides a s comparative study of IaaS, PaaS and SaaS, examining their architectures, functionalities and use cases. It explores the similarities and differences between these models, discusses their strengths and challenges, and analyzes their impact on organizations and end users. Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are the three main cloud computing service models, each offering different benefits and features. The document also discusses the major players in each category and offers insight into future trends and potential synergies between the three service models.</span></p>

<p style="text-align: justify;"><span lang="BS-LATN-BA">The automotive industry represents an important segment of the overall industrial development in the world. In order to respond to the ever-increasing demands of customers, the automotive industry tries to keep up with the most modern technologies, and in recent times this primarily refers to information and communication technologies. Software-implemented functions in new vehicles are constantly increasing and are absolutely at the top of all innovations implemented in new vehicles. Thanks to artificial intelligence technologies, new concepts such as self-driving cars are being developed, as well as various driver monitoring systems, road condition monitoring systems, etc. There is an increasing number of artificial intelligence-based systems that enable new vehicles with different functions. The mentioned systems imply the use of a large number of networked IoT devices that exchange large amounts of data. By increasing the degree of networking and information exchange, the number of cyberattacks on vehicles also increases, which affects vehicle safety. Also, proportionally with the increase in the number of such systems, the need for designing security methods, mechanisms, architectures and protocols for detecting and mitigating attacks on car communication grows. This paper presents the challenges of cyber security in the application of artificial intelligence in the automotive industry.</span></p>

Upravljanje kvalitetom u javnom sektoru je znatno dobilo na značaju poslednjih godina. Istina, dugi niz godina javni sektor se držao izvan ovog koncepta, a pod pojmom upravljanja kvalitetom podrazumevala se samo isporuka usluga u skladu sa zakonskim propisima. Međutim, kriza javne uprave i područja javnih usluga dovela je do preispitivanja uloge i upravljačkih mehanizama javnog sektora, te se vremenom u sve većoj mjeri, jednostavnim preuzimanjem ili eventualno uz odgovarajuća prilagođavanja, koja uzimaju u obzir specifičnosti i karakteristike istog u odnosu na privatni sektor, mogu uočiti pokušaji uvođenja i prilagođavanja sistema upravljanja kvalitetom usluga u organizacije javnog sektora. U BiH, kao zemlji u kojoj specifičnost državnog uređenja, zakonskih procedura, političkih previranja i uopšte društvene organizacije dodatno usložnjava posmatranu problematiku, važno je dijagnosticirati postojeće stanje primene sistema upravljanja kvalitetom i performansi poslovanja jedinica lokalne samouprave, te identifikovati područja mogućeg unapređenja. S tim u vezi, cilj rada je istražiti razlike u performansama poslovanja jedinica lokalne samouprave sa implementiranim standardom kvaliteta ISO 9001 i jedinica lokalne samouprave koje nisu primenile ovaj međunarodni standard u svom poslovanju. Primarni podaci za potrebe ovog istraživanja prikupljeni su primenom tehnike anketiranja, korištenjem anketnog upitnika kao obrasca za prikupljanje podataka. Razlika je testirana korištenjem t-testa nezavisnih uzoraka, a dobijeni rezultati ukazuju na značaj implementacije standarda ISO 9001, budući da je u jedinicama lokalne samouprave sa implementiranim standardom ISO 9001 zabilježen viši nivo performansi perspektive internih poslovnih procesa, performansi perspektive učenja i rasta i performansi perspektive korisnika u odnosu na jedinice lokalne samouprave koje nisu implementirale isti.

Human resources play a significant role in a company as human capital affects the company´s success and competitiveness. Effective HR management helps the company achieve its goals. Key HR activities in acquiring human capital are recruitment, training, and retention of employees. Finding the right employees is of great importance to a company and this process should be fast and efficient. E-recruitment, as an ICT-based process, can increase the efficiency of the recruitment process and HRM. Bosnia and Herzegovina (B&H) is struggling with strong migration processes, mostly the workforce since numerous youth and families are migrating to Europe. This affects the ability of companies to find new employees, retain existing employees and attract talented ones. The main aim of this paper is to investigate to what extent the companies in B&H use e-recruitment and how it affects the overall effectiveness of the HR management process. The paper is based on survey research conducted among 100 medium and large companies with developed HR departments in B&H. The results indicate that the companies are aware of the importance of HR for the company´s success, they are aware of technological advances and the impact of ICT on the HRM processes, but they still do not rely only on e-recruitment in acquiring new talents and employees. However, the results also indicate that the e-recruitment process leads to the time and cost efficiency of the HR recruitment process.

Recent advances in $b$, $c$, and $s$ quark tagging coupled with novel statistical analysis techniques will allow future high energy and high statistics electron-positron colliders, such as the FCC-ee, to place phenomenologically relevant bounds on flavor violating Higgs and $Z$ decays to quarks. We assess the FCC-ee reach for $Z/h\to bs, cu$ decays as a function of jet tagging performance. We also update the SM predictions for the corresponding branching ratios, as well as the indirect constraints on the flavor violating Higgs and $Z$ couplings to quarks. Using type III two Higgs doublet model as an example of beyond the standard model physics, we show that the searches for $h\to bs, cu$ decays at FCC-ee can probe new parameter space not excluded by indirect searches. We also reinterpret the FCC-ee reach for $Z\to bs , cu$ in terms of the constraints on models with vectorlike quarks.

Abstract The aim of the research was to examine the effects of isokinetic training on knee stabilizer strength, and whether this increases the efficiency of performing basic gymnastics vaults. A total of 60 respondents, students of the Faculty of Sports and Physical Education (average age 19.7±1.5 years, weight 75.3±2.9 kg, height 179.8±6.7 cm) were included. The subjects were divided into two groups, experimental (EG) (n=30) and control (CG) (n=30). As part of the 12-week program, the experimental group (EG) in addition to exercises within the regular classes at the university had an additional concentric isokinetic training 3 times a week on the Biodex System 3 dynamometer, while the control group (CG) only had exercises within the regular classes at the university. The results showed statistically significant differences (p < 0.05) between (EG) and (CG), both, in increasing the strength of the knee stabilizers and in the performance of gymnastics vaults, and the strength of the knee extensors and flexors in favor of (EG). It can be concluded that the additional isokinetic training resulted in a greater increase in strength, but also a better performance of gymnastics vaults.

Background and Study Aim. Tabata training is getting more and more popular these days. Based on interval training offers metabolic booster that causes major benefits for reducing body fat storage.  It is an interval training protocol which is a cardio workout for fat loss. The aim: this study was to examine the effects of a specific 16-week Tabata intervention program on body fat reduction in inactive healthy women. Material and Methods. A non-randomized controlled trial with 2x2 statistical design was provide in this study. The research was conducted on a sample of 49 women (aged 30 to 45) employed in the administrative sector, with more than 6h of sedentary tasks in their habitual working day. It included one experimental group–EG (Tabata program, n=24) and one control group–CG (without physical activities, n=25) and two moments of evaluation: (Initial) at baseline and (Final) after 16 weeks of post intervention period. The body composition parameters and body circumference in each group was recorded. All body composition parameters were measured using a Body composition analyser (Tanita BC-418MA III). Results. The results revealed that there was statistical significance difference after Tabata training program (TTP) in EG for body composition parameters (Mean±SD) for Body mass index (kg/m²) = 22.11±2.59kg/m²; p=0.04, ES=0.07); Fat tissue (%) =25.97±4.72; p=0.03, ES=0.08) and Fat tissue (kg) =17.52±5.11; p=0.02, ES=0.10). Furthermore, there were statistical significance difference in upper-arm circumference (24.95±2.31, p=0.00, ES=0.16) and waist circumference (75.93±7.18, p=0.02, ES=0.10). The control group did not achieve significant differences in the final measurement. Conclusions. Tabata training exercise program (4 months) has been shown to be beneficial for reducing body fat in healthy inactive women

In chiral crystals crystalline symmetries can protect multifold fermions, pseudo-relativistic masless quasiparticles that have no high-energy counterparts. Their realization in transition metal monosilicides has exemplified their intriguing physical properties, such as long Fermi arc surface states and unusual optical responses. Recent experimental studies on amorphous transition metal monosilicides suggest that topological properties may survive beyond crystals, even though theoretical evidence is lacking. Motivated by these findings, we theoretically study a tight-binding model of amorphous transition metal monosilicides. We find that topological properties of multifold fermions survive in the presence of structural disorder that converts the semimetal into a diffusive metal. We characterize this topological diffusive metal phase with the spectral localizer, a real-space topological indicator that we show can signal multifold fermions. Our findings showcase how topological properties can survive in disordered metals, and how they can be uncovered using the spectral localizer.

A machine learning algorithm, developed to detect occlusion myocardial infarction with no-ST elevation from electrocardiogram, outperforms clinicians in diagnostic assessments. Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis and would benefit from immediate reperfusion therapy, but, currently, there are no accurate tools to identify them during initial triage. Here we report, to our knowledge, the first observational cohort study to develop machine learning models for the ECG diagnosis of OMI. Using 7,313 consecutive patients from multiple clinical sites, we derived and externally validated an intelligent model that outperformed practicing clinicians and other widely used commercial interpretation systems, substantially boosting both precision and sensitivity. Our derived OMI risk score provided enhanced rule-in and rule-out accuracy relevant to routine care, and, when combined with the clinical judgment of trained emergency personnel, it helped correctly reclassify one in three patients with chest pain. ECG features driving our models were validated by clinical experts, providing plausible mechanistic links to myocardial injury.

Nowadays, Internet communication and global data exchange rely on markup languages, which represent one of the most commonly used modern digital technologies. Due to the lack of a global standard, the conversion of content from one markup language to another is usually a complicated task. One of the most common solutions found in related research is based on the use of code-centric software engineering, which requires a significant investment of time and shifts the focus from the problem domain to the technical implementation. These draw-backs can be overcome by proposing a Model-Driven Engineering (MDE) approach, which observes a problem on a higher level of abstraction. Based on the previously created meta-models of markup languages, this research aims to show that it is possible to convert the content between different markup language models using the ATL Model-to-Model (M2M) transformation language. To verify this approach, a real-life example of the conversion of content from the Markdown language model into an HTML model using ATL transformation is provided. The developed transformation represents one of the necessary prerequisites for a comprehensive solution to the content conversion from one markup language to another.

The fluent API is most often used when there is a need to implement a certain flow of execution of operations, which is achieved by the method chaining technique. Conventional methods of implementing fluent API such as manual coding require a lot of development time and increase the chances of errors. The lack of visual representation of the relationships between interfaces and methods makes it difficult to understand them. This paper presents the design and implementation of the model-based graphical development tool, which is built using Domain-Specific Language that relies on fluent API grammar rules. The proposed tool is implemented as a Microsoft Visual Studio extension using DSL Tools, and it can be used for graphical modeling of the fluent API structure. Such a graphical development tool is the first step towards the automated process of generating the code skeleton of the fluent API structure out of its domain model.

Safety and security became a crucial component of an integral tourist product. Ability to offer tourists a safe stay during their holiday contributes to the attractiveness of a destination and its tourist product. Safety and security represent a pre-condition and a motive which many tourists consider crucial when choosing their destination for a holiday. Due to this, tourist destinations need to focus on improving the level of safety and security which will contribute to the satisfaction of tourists, and they will be more interested in visiting and revisiting a destination. Aim of this paper is to determine whether tourists consider safety and riskiness, as well as destination image as relevant factors in their decision-making process when choosing Opatija Riviera for their holiday. An analysis of the relevant scientific literature, and empirical research were conducted to determine if how tourists perceive safety and riskiness as well as the destination image when choosing to visit Opatija Riviera for a holiday. Based on the findings a discussion was developed to provide future activities of safety and security improvement.