The surveillance system has been utilized over the years on public property in order to provide security and prevent unauthorized entrance. Lately, more private homeowners are choosing to implement security systems. There are many problems with the video surveillance system. These disadvantages are the indistinctiveness of the pictures/video and the need for a lot of storage space to save surveillance information. This paper describes the design and implementation of a low-cost Web Monitoring System based on Raspberry Pi. Also, a web application is designed for the purposes of controlling the camera and for live streaming. The live stream from a web camera can be viewed from any web browser, even mobile, in real-time. Controlling the camera is possible with the web application using four commands (up/down, left/right). Also, the camera moves depending on the detection of an object located in the visible area of the PIR Motion sensor, thereby issuing a warning message about object detection.

The goal of this work is to design a high-efficiency photovoltaic system (PV) with a fuzzy logic controller. This PV system consists of a PV panel, DC/DC Buck-Boost converter with a 24V DC load, and a fuzzy logic controller. Because the efficiency of normal solar PV modules is very low, we implemented the fuzzy logic controller. In this paper, we have proposed a system that is designed and simulated in MATLAB Simulink. In the fourth section of the paper are shown obtained results which show that using the fuzzy logic controller for photovoltaic systems has better performance. This controller can facilitate the PV array to reach the MPPT faster and provide more stable output power.

Abstract The aim of this study is the assessment of sexual behavior and habits of medical and non-medical students in Belgrade. The research is designed as cross-sectional study conducted in the period from November until January 2016/2017. An anonymous and standardized questionnaire from the “National Health Survey” research protocol was used and variables of interest were added. A total of 1268 randomly selected students participated, from higher education institutions in Belgrade (College for Health Studies “Milutin Milankovic, Medical College of applied sciences in Zemun, Belgrade, Business Academy and Faculty of Security Studies in Belgrade). Results: Respondents from both groups almost had sexual relations with the opposite sex, although 2.2% of students of medical profession and 1.7% of nonmedical profession had sexual relations with the same sex. Condoms are most often contraceptive measures used in both groups, (>40%). The most common reason for not using condom in both groups were partner's trust or reducing pleasure during intercourse (p<0.005 and p<0.851 respectively). Students of non-medical professions comparing to students of medical professions, on the second year of study (7.3% vs 5.5%), and on the third year of study (14.1% vs 2.4%) stated that the reason for not using a condom is the high cost. Conclusions: According to the obtained results, students of medical professions were prone to risky sexual behaviour, despite greater knowledge about reproductive health and risky sexual behaviors. There is a significant need for an evaluation of educational programs about sexual and reproductive health of students from all orientations.

Any building, at any time could experience a fire. Because of that, occupants need a fire evacuation path that is designed according to the design standards as they are unable to be entirely prepared for fire emergency scenarios. However, the majority of these standards were developed using empirical judgments. The aim of the paper is to determine whether the fire escape exit route design takes into account the demands and behaviour of building occupants or if it only considers the recommendations and regulations already in place. One university building has been chosen for qualitative research, and as a result, students and teachers are the primary target population. The following factors are taken into consideration throughout the research: the number of students and professors, the movement speed of building occupants and persons with special needs, the plan, the number of floors, the width and length of corridors, the location and type of stairways, as well as type, position and geometry of doors. The findings of this case study indicated that younger occupants can safely exit the building, however older occupants and students with disabilities, as well as teaching personnel need more time for evacuation across the same evacuation paths in fire situation. In this regard, the findings of this research paper offer conclusions that might be useful in design and organization of such and similar buildings and environments.

The lower limb prosthesis, as the specific object of this biomechanical research, has the task of restoring the normal function of the missing part of the human body. Creating a prosthesis exclusively for the end user is a very complex process. The subject of analysis in this work is the analysis of forces, deformations and stress state on the example of structural elements of the lower prosthetic device with the aim of understanding the integrity of the structure under the action of variable load. This analysis is one of the bases for the overall approach to the design of prosthetic aids for the end user, and especially the creation of the socket, as the most important element of a prosthesis in contact with man’s residuum. The main goal of this work is to estimate the real value of the load of a complex prosthesis, to understand the effect of the load on the elements of the observed example of construction, and to understand the load transfer on the connection of the prosthesis structure with the socket. After defining the real load values, the performed numerical analysis indicated the critical points of the construction, the need to use more accurate material properties in the “foot” element, and in the “socket” zone, the possibility for corrections of the shape and thickness of the wall.

The unification of quantum mechanics and general relativity has long been elusive. Only recently have empirical predictions of various possible theories of quantum gravity been put to test, where a clear signal of quantum properties of gravity is still missing. The dawn of multi-messenger high-energy astrophysics has been tremendously beneficial, as it allows us to study particles with much higher energies and travelling much longer distances than possible in terrestrial experiments, but more progress is needed on several fronts. A thorough appraisal of current strategies and experimental frameworks, regarding quantum gravity phenomenology, is provided here. Our aim is twofold: a description of tentative multimessenger explorations, plus a focus on future detection experiments. As the outlook of the network of researchers that formed through the COST Action CA18108 ‘Quantum gravity phenomenology in the multi-messenger approach (QG-MM)’, in this work we give an overview of the desiderata that future theoretical frameworks, observational facilities, and data-sharing policies should satisfy in order to advance the cause of quantum gravity phenomenology.

Introduction: As a result of research conducted globally, experts continue to extensively study the long-term consequences that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections can have on patients, as well as the factors contributing to severe outcomes. The aim of this study was to investigate the values of basic biochemical and hematological parameters in patients with fatal outcomes of SARS-CoV-2 infection, as well as to determine the combination of hematological and biochemical parameters that contribute to the progression of SARS-CoV-2 infection. The examined parameters were correlated with the age and gender distribution of patients with fatal outcomes from the SARS-CoV-2 infection. Methods: The study represents a retrospective study of patients hospitalized at the Cantonal Hospital Zenica from February to April 2021, focusing on the biochemical and hematological parameters of subjects with confirmed presence of the SARS-CoV-2 virus using the reverse transcription-polymerase chain reaction methods who were hospitalized at the Cantonal Hospital Zenica. Results: Of the 250 deceased subjects in the sample, females comprised the relative majority at 53.6%. Among the examined parameters, hemoglobin, mean corpuscular hemoglobin (MCH), and MCH were significantly lower in females compared to males, while males had significantly higher values of urea, creatinine, and troponin. The average age of the patients was 74 years, and with aging, the values of erythrocytes, hemoglobin, and troponin increased. Troponin showed a statistically significant positive correlation with age, as well as with urea and creatinine. Conclusion: We can conclude that hemoglobin, urea, creatinine, and troponin are parameters that can be considered to contribute to the progression of SARS-CoV-2 infection. These parameters can be useful for assessing disease severity and prognosis in patients infected with the SARS-CoV-2 virus.

The paper deals with the phenomenon of non-fungible tokens (NFT), and its particular focus is on the so-called “Art NFTs”, and on the legal demystification of the superior attributes assigned to these tokens. The paper addresses a number of issues. Firstly, it examines the legal and technical possibility to actually create a “digitally unique” piece of author’s work. Secondly, it explores the acquisition of ownership and copyright in the work of art, to which the NFT referres to, during the process of creation and transfer of that NFT. Finally, the paper scrutinizes the topics of copyright violations, which may occur while minting the tokens and of the destruction of the physical original of the tokenized work. The paper also deals with two relevant cases from practice (Miramax, LLC v. Tarantino and Free Comb With Pagoda, J.M. Basquiat), which illustrate how the so-called “Art NFTs” collide with copyright principles.

This paper investigates the application of Adaptive Fuzzy PID Control in the context of car control using a bilateral teleoperator. A bilateral teleoperator allows the operator to operate a remote car using his own controls and at the same time receive feedback on the car’s condition. The goal of the research is the analysis and comparison of different control methods, including PID controller, Adaptive Fuzzy PID controller, and the use of energy and wave variables of the bilateral teleoperator. The paper presents a car control model by means of a bilateral teleoperator, which was implemented in a simulation environment. Then performance comparisons of different control methods were made. The PID controller was used as the basic method, while the Adaptive Fuzzy PID controller was additionally included to achieve system adaptivity. Also, the use of energy and wave variables of the bilateral teleoperator was additionally investigated. The results of the comparison show that the use of bilateral teleoperator wave variables gave the best response of the control system. The analysis of signal waveforms and frequencies enabled more precise monitoring of the car’s condition and the detection of possible problems or instability in the system. This knowledge can be of great importance for improving the performance of car control by means of a bilateral teleoperator.

Drug-induced nephrotoxicity is still a significant obstacle in pharmacotherapy of various diseases and it accounts for around 25 % of serious side-effects reported after drug administration. Furthermore, some groups of drugs such as nonsteroidal anti-inflammatory drugs, antibiotics, antiviral drugs, antifungal drugs, immunosuppressants, and chemotherapeutic drugs have the "preference" for damaging the kidney and are often referred to as the kidney's "silent killer". Clinically, the onset of acute kidney injury associated with drug administration is registered in approximately 20 % of patients and many of them develop chronic kidney disease vulnerability. However, current knowledge about the mechanisms underlying this dangerous phenomenon is still insufficient with many unknowns. Hence, the valuable use of these drugs in clinical practice is significantly limited. The main aim of this study is to draw attention to commonly prescribed nephrotoxic drugs by clinicians or drugs bought over the counter. In addition, the complex relationship between immunological, vascular and inflammatory events that promote kidney damage is discussed. The practical use of this knowledge could be implemented in the engineering of novel biomarkers for early detection of drug-associated kidney damage such as Kidney Injury Molecule (KIM-1), lipocalin associated with neutrophil gelatinase (NGAL) and various microRNAs. In addition, the utilization of artificial intelligence (AI) for the development of computer algorithms that could detect kidney damage at an early stage should be further explored. Therefore, this comprehensive review provides a new outlook on drug nephrotoxicity that opens the door for further clinical research of novel potential drugs or natural products for the prevention of drug-induced nephrotoxicity and accessible education.

Museum development is a side effect of tourism development since museums are significant components of cultural and tourist infrastructure, and tourism encourages infrastructure development in general. In Bosnia and Herzegovina, where tourism is a critical sector of the economy with a decades-long flow, the pattern of comparative development of tourism and museums has been recognized. The study provides a comparative review of the country's tourism and museum development, showcasing the multiple benefits of tourism and museums. Museums are one of the most important socio-cultural benefits of tourism because they preserve and present heritage, improve science, education, and cultural profiling, encourage employment and visitation, provide a better stay, generate income, and contribute to environmental urbanization and higher living standards. The identification of museums and museum resources revealed that, during the past three decades, approximately thirty museums of a predominantly thematic character have been established, particularly in the country's most visited destination (Sarajevo). Furthermore, an open-air museum (ethno-village) trend has begun. Museum visitation is increasing in tandem with tourist trips to the country, despite a lack of adequate monitoring (incomplete figures that are inconsistent with the situation in the field). Despite the fact that the global crisis disrupted tourism and museum development (COVID-19), both areas are key drivers of economic revitalization, as evidenced by new ideas and projects in this field. However, in addition to the benefits of increased museum activity, the study highlighted certain issues (e.g., lower engagement of professional staff and women etc.), which will encourage future research to provide more sustainable strategies for museum development.

Abstract Tourist boards, through their social activities, can make a tourist destination, tourist attractions and tourist products attractive, unique, and special. Through relevant scientific knowledge, using the tools and techniques of destination management as well as modern forms of communication, tourist boards can make the entire area of a tourist destination very interesting and desirable for tourist visits throughout the year by promoting the specificity, authenticity and originality of the tourist offer and tourist products. Keywords: tourist board; tourism promotion through sports and sports recreation competitions; tourism promotion through social networks, tourism

Abstract Voltage unbalance is common issue encountered in low voltage distribution networks, caused by uneven allocation of single-phase customers among phases. This paper analyses part of real low voltage distribution network in Bosnia and Herzegovina. The impact of single-phase customers and single-phase connected micro photovoltaic power plants (MPPP-s) were analysed. To reduce unbalance and improve voltage profiles, Phase Balance Optimization toolbox in DIgSILENT PowerFactory software was performed in six scenarios with different distribution of customers and different percentage of penetration of MPPS-s. The aim was to find method with least number of changes in customer and photovoltaic phase connection that fits within defined limits of voltage variations and voltage unbalance of European standard for power quality (EN 50160). Conclusion is that MPPP-s cause voltage increases in the network, as well as an increase in voltage unbalance, but these effects can be mitigated by proper distribution of customer loads and MPPS-s among phases.

This paper is about the parameter identification of an energy based hysteresis model from measurements by employing automatic differentiation and neural networks. We first introduce the energy based hysteresis model and the parameters which are to be identified. Then we show how the model can benefit from automatic differentiation. After that we incorporate a parametrization of the energy based hysteresis model via distribution functions and identify the parameters of the distribution function. Then, the hysteresis model is sampled and the generated datasets are used to train neural networks to predict the hysteresis parameters. The described methods are tested and verified on synthetic as well as measurement data.