The Church of the Holy Archangels Michael and Gabriel located in Sarajevo is a national monument belonging to Eastern Orthodox cultural heritage. It is a very well-preserved sacral object considering the date of first mention is 1539 and it has been used to date for the religious purposes. On the other hand, deterioration of aging historical/religious buildings is inevitable process composed of cumulative, progressive and nonlinear factors. Hence, in order to maintain their best condition for as long as possible compliance with guidelines and procedures for cultural heritage preservation is needed. Climate control within historical/religious buildings surfaced as an important research area as indoor climate is changing in recent times. Humans have always shaped their environment by desire to enjoy concurrently the comfort of modern living as well as preserve the monuments for future generations. For example, use of heating systems in historical/religious buildings are creating new challenges for their preservation. This paper is an attempt towards the implementation of Internet of Things (IoT) system with focus on preservation of the national monument using a simulation of climate control in the Church of the Holy Archangels Michael and Gabriel.

The possibilities of using artificial neural networks (ANNs) for quick decision-making in the events of prolonged surges are presented in this paper considering that neural networks can establish non-linear relationships between the parameters of an ultra-high voltage transmission line. Research has been carried out based on theoretical models as well as practical problems aiming at the analysis of resonant overvoltages during their occurrence, development and existence. Determining of overvoltage characteristics was carried out in the presence of a significant number of fuzzy specified factors affecting the accuracy. The multilayer model, suitable for identifying the factors having the greatest impact on the occurrence, frequency and multiplicity of overvoltages in electrical networks, is applied. The resonant overvoltages were generated by connecting the autotransformer to the electrical bulk network. The results of determining the characteristics of resonant overvoltages using ANNs are presented in this paper. To achieve this goal, the following four tasks were formulated: (i) overvoltage characteristics using neural network methods were determined, (ii) neural network model corresponding to power line initial data was built, (iii) forecasted results were obtained, and (iv) the accuracy of constructed model was evaluated.

The study focused on assessing and testing Windows 10 to identify possible vulnerabilities and their ability to withstand cyber-attacks. CVE data, alongside other vulnerability reports, were instrumental in measuring the operating system's performance. Metasploit and Nmap were essential in penetration and intrusion experiments in a simulated environment. The study applied the following testing procedure: information gathering, scanning and results analysis, vulnerability selection, launch attacks, and gaining access to the operating system. Penetration testing involved eight attacks, two of which were effective against the different Windows 10 versions. Installing the latest version of Windows 10 did not guarantee complete protection against attacks. Further research is essential in assessing the system's vulnerabilities are recommending better solutions.

Most modern missiles implement some variant of proportional navigation (PN) guidance law. In order to implement this form of navigation, the missile has to measure line of sight (LOS) rate. Devices capable to measure LOS rate are referred to as the seekers. This article aims to present analysis of a missile seeker mathematical models with purpose to obtain LOS rate estimation used for implementation of PN in three dimensions. This paper includes MATLAB simulations of developed seeker with 6-DOF nonlinear missile mathematical model and autopilot presented in earlier works by the authors.

With the decreasing reserves of conventional sources and the high emission of harmful gases caused by them, the inclusion of renewable energy sources in power system is increasing. However, to best utilize them, different site location criteria for PV generator installment need to be considered in the decision-making process. This paper presents Fuzzy Analytical Hierarchical Process (AHP) method used in energy planning to find the best Photovoltaic (PV) system site location for the established criteria and factors. Eight criteria were identified and evaluated. These include the solar energy potential, distance to the transmission line, PV surface slope, sunshine duration, the total amount of energy/PV, the temperature ratio, site survey, and performing shading analysis. PVGIS software tool is used to collect necessary data. Evaluation criteria are prioritized by applying fuzzy AHP, fuzzifying the inputs of the decision matrix using triangular fuzzy numbers. The obtained results and the methodology show potential in finding the best location where the PV system can be best utilized.

Digital transformation represents a connective tissue of the global economic system and therefore is an unavoidable element in the process of improvement, both developed and underdeveloped countries. In contrast to digitalization, which was the initiator of digital transformation and relied exclusively on the introduction of digital technologies, digital transformation is interpreted as much wider and requires a special set of skills and competencies. From the perspective of technological innovations, which is the key segment of this process, it is necessary to recognize relevant elements that ensure that the process of digital transformation runs smoothly. Initially, in order to identify the digital competencies of which the process consists, it is necessary to analyze the process of digital transformation itself. After the analysis, the focus shifts to the digital competencies needed to fulfill the identified skills. In this paper, an analysis of digital transformation is performed and the necessary competencies that employees need to have for this process to be successful within the business ecosystem are identified. Relying on DIGCOMP as guidance for digital competencies, recommendations and suggestions were formed in order to connect these two areas.

Digital transformation represents an inevitable aspect of the modern business environment by establishing a new value system that relies on vertical and horizontal value chains, as well as the provision of companies' products and services. A transformation is undertaken through three steps: digital business environment; digital users' experience and digital business models and ecosystem. Health care systems represent perfect systems for digital transformation processes as they are confronted with the challenge to provide their users with the best possible outcomes of health care while reducing costs. The increased number of older and chronically patients, as well as those patients who want to take control of their own health data, represent special challenges. In this case, digital transformation is not only a desirable concept but also a necessary one. This paper presents the concept of digital transformation in healthcare, with a special focus on the key elements of construction that make these processes possible. It also provides an overview of the modern software solution implemented through these processes.

In this paper, the design and implementation of parallel instrumented tests of Android applications are presented. Instrumented unit tests are tests that run on physical devices and emulators, and they can take advantage of the Android framework APIs. Android is the leading mobile operating system worldwide and the quality of mobile applications is as important as in any other desktop or web application. Evaluation and quality of those applications are accomplished by using automated testing tools. Parallel testing radically reduces the cost and time with regard to traditional testing methodologies. The paper uses a method and tools developed by Roman Kushnarenko from Medisafe. All the tools are available on the author's GitHub repository under the MIT license. The method is benchmarked on a simple application with different devices and emulators. Experiments show how tests parallelization scales with a different number of tests and devices.

Detecting changes in web pages is a process that has many uses for regular users and developers alike. This paper lists and explains the usual steps in the development of one tool that detects changes. Two tools are implemented and tested on real-life web pages. Changes that can be detected in these tools are based on DOM (Document Object Model) trees. Results for two methods of tree comparisons are presented and discussed.

Non‐Down‐syndrome‐related acute megakaryoblastic leukemia (non‐DS‐AMKL) is a rare form of leukemia that can present with a variety of initial symptoms, including fever, rash, bruising, bleeding, or other more clinically challenging symptoms. Herein, we describe a 19‐month‐old female patient who presented with left lower extremity pain and language regression who was diagnosed with AMKL, not otherwise specified (NOS), on the basis of peripheral blood and bone marrow analysis, as well as cytogenetic and molecular diagnostic phenotyping. Of note, in addition to this patient's karyotype showing trisomy 3, a fusion between CBFA2T3 (core‐binding factor, alpha subunit 2, translocated to, 3) on chromosome 16 and GLIS2 (GLIS family zinc finger protein 2), also on chromosome 16, was observed. Patients with AMKL who have trisomy 3 with CBFA2T3::GLIS2 fusions are rare, and it is not known if the co‐occurrence of these abnormalities is coincidental or biologically related. This highlights the continued need for further expansion of genetic testing in individuals with rare disease to establish the groundwork for identifying additional commonalities that could potentially be used to identify therapeutic targets or improve prognostication.

In contemporary electrical power systems real-time power line monitoring and supervision are commonly performed using simple non-invasive devices with contactless magnetic field measurement. Measured magnetic fields are commonly employed for fault detection in fault passage indicators, but they can also be used to determine electrical and non-electrical power line variables. In this paper a novel adaptive method for conductor sag estimation is proposed, using magnetic field measurement. The method is based on the properly calibrated approximate power line magnetic field model, in which catenary-shaped conductors are modeled by tilted straight-line conductors of infinite length. By this approximation, the overhead power line model can be used in simple devices for power line monitoring in real-time. Applicability and accuracy of the proposed method for power line conductor sag estimation is verified by computer simulations and measurements on a three-phase overhead line model, scaled to laboratory conditions.

The paper presents an approach to reverse engineering of a relational database schema. The approach enables database schema extraction from the corresponding metadata stored in the data dictionary by executing a universal set of queries regardless of the source database management system. The concrete queries are generated by combining predefined templates with concrete metadata for the particular source system. Based on the proposed approach, we implemented a software tool and experimentally validated it. The implemented solution enables reverse engineering of relational databases managed by several contemporary database management systems.

As one of the world’s great legal systems, Islamic law is taught at many academic institutions, using different methodological approaches and within differen institutional frameworks. The subject of this study is the teaching of Islamic law at public universities in the countries of the former Yugoslavia. It is based on the analysis of teaching curricula, textbooks, and additional literature used for courses at graduate, postgraduate and doctoral levels.At almost all law schools in the former Yugoslav member states that were the subject of this study, Islamic law is taught within the framework of General Political and Legal History or Comparative Legal History/Traditions and Political and Legal History or National Legal History. Within these subjects, Islamic law is taught within a comparative historical and legal perspective and as part of previous positive law under the Ottoman state.The scope of Islamic legal studies varies by state, however. For example, at the law faculties of the universities of Sarajevo, Belgrade, and Skopje, it is broadly taught at all three levels, while at the universities of Ljubljana and Podgorica it is not taught at all. In Sarajevo, Belgrade and Skopje, Islamic law is taught together with other great legal systems in historical and contemporary context, modelled on contemporary approaches to the study of Islamic law and legal cultures in general at academic institutions around the world. Bearing in mind the turbulent history of these states, the marginalisation of religion (and so of religious law) during the socialist period, and the fact that these faculties educate secular legal experts, the extent to which Islamic law is taught at public universities is satisfactory for the profile of experts being educated by them.

Malignancy is one of the major public health problems in Bosnia and Herzegovina. Along with breakthroughs in specific oncological therapy, improving the quality of life of cancer patients and management of therapy-induced side effects need to be recognized as a priority in the comprehensive cancer patient care. Fertility loss after cancer treatment is a field requiring special attention due to its various consequences on patients themselves. Although oncofertility is well-recognized area of oncology, low- to middle-income countries are facing issues with its implementation in everyday practice. Increased awareness about fertility preservation is of high priority for all specialists who participate in the medical care of cancer patients. The absence of a systemic solution and lack of expertise led to the founding of Fertility Preservation Working Group of the Oncology Association of Bosnia and Herzegovina. We have made recommendations as an expert consensus with the ultimate goal of making the first step toward enhancement of oncofertility implementation in Bosnia and Herzegovina.

Two tetraketone derivatives, one previously reported and one novel, were synthesized, whose structures have been confirmed by elemental analyses, NMR, HPLC-MS, and IR spectroscopy. The crystal structures of synthesized tetraketones were determined using X-ray single-crystal diffraction. To analyze the molecular geometry and compare with experimentally obtained X-ray crystal data of synthesized compounds 1 (2,2'-((4-nitrophenyl)methylene)bis(5,5-dimethylcyclohexane-1,3-dione)) and 2 (2,2'-((4-hydroxy-3-methoxy-5-nitrophenyl)methylene)bis(5,5-dimethylcyclohexane-1,3-dione)), DFT calculations were performed with the standard 6-31G*(d), 6-31G**, and 6-31+G* basis sets. The calculated HOMO-LUMO energy gap for compound 1 was 4.60 eV and this value indicated that compound 1 is chemically more stable compared to compound 2 whose energy gap was 3.73 eV. Both compounds' calculated bond lengths and bond angles were in very good accordance to experimental values determined by X-ray single-crystal diffraction.