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.

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.

Munir Mujić, Rječnik klasičnih arapskih termina: gramatika, književnost, stilistika, metrika: arapsko-bosanski, Sarajevo: Centar za napredne studije, 2019. Str. 198, ISBN 978-9926-471-17-0.

We propose reliability and latency quantities as metrics to be used in the routing tree optimization procedure for Wi-Fi mesh networks. In contrast to state-of-the-art routing optimization methods, our proposal involves directly optimizing the data rates of individual mesh links according to underlying channel conditions such that reliability and latency requirements are satisfied for entire mesh paths. Moreover, to mitigate the channel contention problem that is common in Wi-Fi networks, we propose a multichannel (MC) assignment method. In this method, bandwidth is allocated to the individual mesh nodes based on the expected traffic load that they are expected to handle. Once the bandwidth for each node is determined, specific channels are assigned in a way to avoid co-channel interference. Furthermore, considerable efforts were spent for developing a system-level simulator that captures the features of the physical (PHY) layer and medium access layer defined in the IEEE 802.11 standard (Wi-Fi). Using this simulator, we were able to show that Wi-Fi mesh networks using the proposed routing metric based on reliability and latency quantities significantly outperform the state of the art. Finally, the mitigation of channel contention through the proposed MC assignment method results in further dramatic gains in performance.

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.

Patients do not access physicians at random but rather via naturally emerging networks of patient flows between them. As mass quarantines, absences due to sickness, or other shocks thin out these networks, the system might be pushed to a tipping point where it loses its ability to deliver care. Here, we propose a data-driven framework to quantify regional resilience to such shocks via an agent-based model. For each region and medical specialty we construct patient-sharing networks and stress-test these by removing physicians. This allows us to measure regional resilience indicators describing how many physicians can be removed before patients will not be treated anymore. Our model could therefore enable health authorities to rapidly identify bottlenecks in access to care. Here, we show that regions and medical specialties differ substantially in their resilience and that these systemic differences can be related to indicators for individual physicians by quantifying their risk and benefit to the system. As mass quarantines, absences due to sickness, or other shocks thin out patient-physician networks, the system might be pushed to a tipping point where it loses its ability to deliver care. Here, the authors propose a data-driven framework to quantify regional resilience to such shocks via an agent-based model.

Muon colliders provide a unique route to deliver high energy collisions that enable discovery searches and precision measurements to extend our under-standing of the fundamental laws of physics. The muon collider design aims to deliver physics reach at the highest energies with costs, power consumption and on a time scale that may prove favorable relative to other proposed facilities. In this context, a new international collaboration has formed to further extend the design concepts and performance studies of such a machine. This effort is focused on delivering the elements of a ∼ 10 TeV center of mass (CM) energy design to explore the physics energy frontier. The path to such a machine may pass through lower energy options. Currently a 3 TeV CM stage is considered. Other energy stages could also be explored, e.g. an s-channel Higgs Factory operating at 125 GeV CM. We describe the status of the R&D and design effort towards such a machine and lay out a plan to bring these concepts to maturity as a tool for the high energy physics community.

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.

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.

Time synchronization in communication networks is a common issue: in a sensor network it means that the order of data samples becomes uncertain, which can make it unusable. Dedicated signals and schemes for synchronization of sensor networks has hence been a well-researched topic for decades. Here we bring in an approach to synchronization which uses the sensory data. Drawing inspiration from sensor time synchronization using environmental noise, we consider synchronizing sensory nodes for structural health monitoring–if the physical quantity the sensors measure is correlated, propagating as a wave, or oscillating in regular fashion, it is intuitively clear how to put it to use. We discuss when structural health monitoring signals can aid synchronization; we also connect this synchronization scheme to the idea of using physical human-made structures as reservoirs for reservoir computing, formulating synchronization as a reservoir computing task.

Muon colliders provide a unique route to deliver high energy collisions that enable discovery searches and precision measurements to extend our understanding of the fundamental laws of physics. The muon collider design aims to deliver physics reach at the highest energies with costs, power consumption and on a time scale that may prove favorable relative to other proposed facilities. In this context, a new international collaboration has formed to further extend the design concepts and performance studies of such a machine. This effort is focused on delivering the elements of a $\sim$10 TeV center of mass (CM) energy design to explore the physics energy frontier. The path to such a machine may pass through lower energy options. Currently a 3 TeV CM stage is considered. Other energy stages could also be explored, e.g. an s-channel Higgs Factory operating at 125 GeV CM. We describe the status of the R&D and design effort towards such a machine and lay out a plan to bring these concepts to maturity as a tool for the high energy physics community.