Background: Everyday, doctors and individuals in the field of healthcare must make calculated decisions which have important consequences, impacting patients on the individual level, and communities and nations on a more global level. Healthcare professionals must at times make these choices with limited information, resources, and knowledge, and yet is is expected that these decisions are highly calculated and accurate. Objective: The aim of this study was to describe and explaine the importance of medical decision making in physician's practice. Methods: It is cross-sectional study based on reviewing of apropriate scientific literaure stored in scientific databases like PubMed Central Scopus, Embase, Hinary, etc, Results and Discussion: Medical decision making certainly be continuously exposed to it, which is the reason why it could not be of more important. The intricate aspects of medical decision making has been discussed in this article. A decision is a choice varying between several different courses of action that may be pursued. Each decision comes as a result of complex processes which provide two or more options providing results, as well as intro and retrospection, and examination or perspective into the future. As is in everyday life, the principles of decision making are present in medicine as well. In the world of biomedicine, decisions may rely on the available systems of information provided to the decision maker through medical documentation. Additionally, it may ease and expedite the process of medical decision making, a luxury which was not always present for physicians. Conclusion: Medical decision making is highly important to doctors and patients alike, as well as the broader population. Medical decisions are vital - to medical professionals, patients and society. They are difficult, and may provide positive outcomes, or poor complications. They test doctors maximally, and provide insight into the effectiveness of doctors. And finally, from the presented strategy, we can conclude that the mathematical models provides support in diagnosis and therapeutic selection in patients with heart damage by cardiovascular diseases and its helped to pysician, as decision maker, to decide which and when appropriate decision will be used. In health care, shared decision-making is increasingly embraced and recommended. It is important to involve patients in health care decisions, to communicate with them, and to provide patient-centered care, however formal models and evaluations in cardiovascular care are still in their infancy.

Application of a discrete time (DT) sliding mode controller (SMC) in the control structure of the primary controller of a three-phase LCL grid inverter is presented. The design of the inverter side current control loop is performed using a DT linear model of the grid inverter with LCL filter at output terminals. The DT quasi-sliding mode control was used due to its robustness to external and parametric disturbances. Additionally, in order to improve disturbance compensation, a disturbance compensator is also implemented. Also, a specific anti-windup mechanism has been implemented in the structure of the controller to prevent large overshoots in the inverter response in case of random disturbances of grid voltages, or sudden changes in the commanded power. The control of the grid inverter is realized in the reference system synchronized with the voltage of the power grid. The development of the digitally realized control subsystem is presented in detail, starting from theoretical considerations, through computer simulations to experimental tests. The experimental results confirm good static and dynamic performance.

The energy transition towards increased electric power production from renewable energy (RE) resources creates new challenges to ensure the stability of power grids. In conventional power grids voltage fluctuations can be controlled locally. Here, it is explored whether this may be changed by the energy transition. It is well established that the increase of RE resources in power grids increases the amplitude of frequency deviations and the velocity with which these deviations spread throughout the power grid. However, its effect on voltage dynamics and propagation has not been systematically studied. Here, a systematic study is carried out of the transients of voltage amplitude, phase and frequency deviations due to local contingencies in dependence on system inertia, heterogeneity and topology. The 3rd order dynamic power grid model is studied numerically and analytically and compared with real grid simulations for the Nigerian (330 kV) power grid and other grid models, using DigSILENT PowerFactory software. A quantitative analysis of the parametric dependence of the velocity with which a disturbance propagates throughout the grid and of the period of oscillations of the frequency and voltage transients is provided. Beating patterns are found in the transients and are identified as footprints of the location of the fault bus, as caused by multiple reflections of propagating disturbances from the grid boundary. These may result in interarea oscillations. It is confirmed that voltage deviations remain local for realistic ranges of parameters, but that it can propagate by literally surfing on the frequency deviation wave. However, it is found that this no longer holds true when the electrical power in the grid approaches its critical value beyond which no stationary solution exists. Furthermore, time dependent second moments of the geodesic distance weighted with frequency deviations $S_{\delta \omega }(t)$ and voltage deviations $S_{\delta V}(t)$ , respectively are evaluated, confirming a ballistic disturbance propagation in homogeneous model grids. However, in real grid simulations, a linear time dependence of $S(t)$ is observed, indicating a diffusive propagation due to multiple scattering from the inhomogeneities in these power grids.

Although there is clear dose-dependence of pulmonary toxicity caused by inhalation of normobaric oxygen in animal studies, the threshold of toxicity in humans remains largely unknown. The aim of this systematic review of published clinical studies was to establish threshold in terms of total oxygen dose administered under normal pressure by inhalation that causes first clinical signs of toxicity. MEDLINE, EBSCO, The Cochrane Central Register of Controlled Trials (Central), SCIndeks, Scopus, Google Scholar, and ClinicalTrials.gov were searched from their foundation to April 2022. The systematic review was performed according to the pre-registered protocol at PROSPERO. The studies were included if describing toxic effects of normobaric oxygen therapy in humans. In total 11 human studies of poor quality were found, with either experimental or observational design. In none of the analyzed studies did oxygen therapy cause toxic effects on the respiratory tract if the concentration of oxygen in the inhaled air was below 50%, regardless of the rate of administration. The toxic consequences of inhaling oxygen at a concentration of more than 50% occurred only after oxygen was administered for more than 6 hours, at a rate of more than 7 L/min, and were mainly reflected in inflammation of the tracheobronchial mucosa, with epithelial erosions. Normobaric oxygen therapy can have toxic effects in humans if the oxygen concentration in the inhaled air is higher than 50%, if the administration rate is above 7 L/min, and if the application lasts at least 6 hours.

Understanding the level of economic freedom is an important indicator for investors and policymakers. The index of economic freedom, which the Heritage Foundation releases annually, is the most significant of the methods used to measure this indicator in practice, as this index evaluates the degree of market openness over the degree of fiscal and regulatory restraint. The research presented in this paper was conducted in order to establish the level of economic freedom in the Balkan countries. For this purpose, a multi-criteria ranking of Balkan countries based on economic freedom criteria was used. The weight of the criteria was determined using the Entropy method, and the countries were ranked using the CRADIS (Compromise Ranking of Alternatives from Distance to ideal Solution) method. These methods employed a double normalisation approach, and according to the results of this application, Bulgaria has the best indicators of economic freedom, while Montenegro has the worst, with sensitivity analysis and validation of the results confirming these findings. The approach of using double normalisation contributes to decision-making stability since the results of different methods are uniform when compared to the use of the classical approach in the case of multi-criteria analysis methods.

This research is focused to identifying the most suitable plum variety for establishing a new orchard, aiming to achieve optimal outcomes. To accomplish this goal, multi-criteria decision-making model has been developed striving to support decision-making process. The gained results are based on experience of experts engaged in assessment of certain plum varieties. The analysis of collected expert ratings has involved mutual use of 3 methods, where the FUll COnsistency Method (FUCOM) and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods were applied to determine the weights of selected criteria. The results of applying these methods demonstrated that the Maretability criterion is of highest importance. Besides, the fuzzy MARCOS method (Measurement Alternatives and Ranking according to Compromise Solution) has been applied to rank the plum varieties according to expert ratings. Derived results revealed that the ?Cacanska rodna? and ?Stanley? varieties were ranked as the most favorable, while the ?Prezident? variety was assessed as the most unfavorable. Further, gained research outcomes were corroborated by the sensitivity analysis and results validation. This research contributes to improvement of fruit growing in BiH by previous adequate selection of available plum varieties towards the establishing of new orchards and yielding optimal outcomes.

The hotel industry is undergoing significant change as a result of technological advancements and shifting guest preferences. Artificial intelligence (AI) is playing an increasingly important role in this transformation, allowing hotels to provide personalized, efficient, and sustainable experiences that meet the needs of modern travelers. This paper provides an overview of the role and application of AI in the hotel industry, highlighting its benefits and challenges as well as presenting case studies that show how hotels are currently utilizing AI technology. According to the review of literature, AI technology can be used to optimize hotel operations, improve the guest experience, and boost sustainability efforts. However, the use of AI technology in the hotel industry raises concerns about data privacy and security, job displacement, and the need for human supervision to ensure ethical and responsible deployment. Finally, the paper discusses the future directions of AI in the hotel industry, highlighting the emergence of voice technology and augmented reality as potential areas for future innovation. This paper adds to the growing body of literature on the use of AI in the hotel industry and provides useful insights for hotel managers, technology providers, and researchers.

The constant developments in the area of accounting information systems unlock a wide area for contributing to the existing theory in the field of accounting information systems. Particularly in the case of the Federation of Bosnia and Herzegovina, where the benefits that the use of AIS brings with it, are not yet well recognized. The purpose of this research is to analyze the overall situation in the FBiH regarding the use of AIS in companies and its impact on strategic decisionmaking. Data is collected through surveys that were distributed to the companies in FBIH. Multinomial logistic regression was used to analyze the data. Research findings indicate that the industry sector and satisfaction with AIS are found to be statistically significant predictors of the probability of decision-making based on AIS and that accounting information is indispensable in the process of strategic decision-making, especially when it comes to the company's growth, investments, and borrowing.

According to applied TOPSIS multi-criteria decision-making method (Technique for Order of Preference by Similarity to Ideal Solution), in paper was selected adequate sales distribution channel in one enterprise active within the agro-food sector at the territory of Semberija (BiH). Decision makers, in this case represented by employed management in enterprise, have been evaluated five sales distribution channels in enterprise in line to previously defined criteria, i.e. products' characteristics, company's financial situation, consumer habits, production costs, geographic concentration, and products' assortment. The main goal of research was to create a model for optimal selection of sales channels, while derived results have been showed that the model "producer - seller (retailer) - consumer" is the most adequate towards the predefined selection criteria. In addition to the justified role of used method in selection of offered alternatives, article also represents a base that will serve in further research, whose focus would be on modernizing of existing and searching for new distribution channels in agricultural enterprises.

This article investigates the relationship between the dimensions of the Theory of Planned Behaviour (which includes attitude toward behavior, subjective norm, and perceived control behavior) and entrepreneurial intentions and intrapreneurial intentions, considering entrepreneurial orientation as a moderator. Using the snowball sampling method, cross-sectional data were collected from 437 respondents. After testing for reliability and validity using confirmatory factor analysis, hypotheses were tested using hierarchical regression. The results indicate that the attitudes toward entrepreneurship and perceived behavioral control positively relate to entrepreneurial intentions. In contrast, attitude toward intrapreneurship is the only dimension of the theory of planned behavior positively related to intrapreneurial intentions. The moderating role of entrepreneurial orientation is only significant for the relationship between attitude toward entrepreneurship and entrepreneurial intentions. Based on the results, several recommendations are made for businesses and policymakers to boost entrepreneurial activity among the current labor force.

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Methods for automatic analysis of user interfaces are essential for a wide range of applications in computer science and software engineering. These methods are used in software security, document archiving, human-computer interaction, software engineering, and data science. Even though these methods are essential, no single research systematically lists most of the methods and their characteristics. This paper aims to give an overview of different solutions and their applications in the separate processes of automatic analysis of user interfaces. The main focus is on the techniques that analyze web page layouts and web page structure. Web pages’ style, type of content, and even structure constantly (often drastically) change, as do methods that analyze them. The fact that most methods use very different datasets and web pages of various complexities are some of the reasons that the direct comparison of methods is difficult, if not impossible. Another fact is that the vast applications of methods practically solve similar problems. With these facts in mind, in the paper, we surveyed relevant scientific articles, categorized them, and provided an overview of how these methods have developed over time.