Lung transplantation is a therapeutic option for the treatment of advanced lung disease. The risk of pulmonary infections is increased in lung transplant recipients. We report a case of a pulmonary coinfection with Mycobacterium tuberculosis and Nocardia species in a lung transplant recipient.

Aim of this paper was to examine the contribution of football experience and the self-assessment of tactical/technical skills and social competencies on the perceived self-efficacy in junior and senior football players. A total of 164 football players from Bosnia & Herzegovina have taken part in the research, 79 of which were professional senior players and 85 were professional U18 (junior) players. Three measuring instruments were used in the research: A questionnaire on general information, a self-assessment scale of self-efficacy for football players and a scale for estimating tactical/ technical and social competencies in football was used to gather data. Based on the results and the conducted analyses, it is indicative that the model that encompasses the length of football experience and a self-assessment of tactical/technical and social competencies in senior football players contributed around 8.5% to the total explanation of perceived self-efficacy. In senior players, the length of experience has a greater significance in perceived self-efficacy compared to the perceived success in performing football elements. The set model doesn’t have an equal contribution in junior players, where the model entirely contributed with 14.3% of the explanation of perceived self-efficacy, and the perceived success of performing football elements also has a statistically significant contribution. So, the model which encompasses football experience and the perceived success in performing football elements (tactical/technical and social competencies in football) is not equally predictive in junior and senior players.

Because for many companies, continuous operation and maintenance of custom software are crucial, they usually want to ensure that this continues even if the software licenser cannot operate in the future, for example, due to bankruptcy. The easiest way to overcome this for the licensee is to get a copy of the updated source code. Software developers are understandably reluctant to give a copy of their proprietary source code to the customer. The most significant asset of software developers is usually their source code, which can contain valuable trade secrets. One of the ways a software developer can deal with a client that requires access to the source code is to agree to store the source code using a triple escrow agreement. Under the escrow source code agreement, the developer provides a copy of the source code and documentation to a neutral party for safekeeping. The third party will hand over the source code to the buyer only after certain conditions defined by the contract have been met, such as the bankruptcy of software developers. That keeps the developer's source code confidential while, in theory, giving the user access to it if necessary. In this paper, we present the term software escrow contract.

Background Electronic consultations (eConsults) are an increasingly used form of telemedicine that allows a nonspecialist clinician to seek specialist advice remotely without direct patient-specialist communication. Surgical clinics may see benefits from such forms of communication but face challenges with the need for intervention planning. Objective We aimed to use the Quadruple Aim Framework to integrate published knowledge of surgical outpatient eConsults with regard to efficacy, safety, limitations, and evolving use in the era of COVID-19. Methods We systematically searched for relevant studies across four databases (Ovid MEDLINE, Embase, Scopus, and Web of Science) on November 4, 2021, with the following inclusion criteria: English language, published in the past 10 years, and data on the outcomes of outpatient surgical eConsults. Results A total of 363 studies were screened for eligibility, of which 33 (9.1%) were included. Most of the included studies were from the United States (23/33, 70%) and Canada (7/33, 21%), with a predominant multidisciplinary focus (9/33, 27%). Most were retrospective audits (16/33, 48%), with 15% (5/33) of the studies having a prospective component. Conclusions The surgical eConsult studies indicated a possible benefit for population health, promising safety results, enhanced patient and clinician experience, and cost savings compared with the traditional face-to-face surgical referral pathway. Their use appeared to be more favorable in some surgical subspecialties, and the overall efficacy was similar to that of medical subspecialties. Limited data on their long-term safety and use during the COVID-19 pandemic were identified, and this should be the focus of future research.

Multimedia streaming over the Internet (live and on demand) is the cornerstone of modern Internet carrying more than 60% of all traffic. With such high demand, delivering outstanding user experience is a crucial and challenging task. To evaluate user Quality of Experience (QoE) many researchers deploy subjective quality assessments where participants watch and rate videos artificially infused with various temporal and spatial impairments. To aid current efforts in bridging the gap between the mapping of objective video QoE metrics to user experience, we developed DashReStreamer, an open-source framework for re-creating adaptively streamed video in real networks. DashReStreamer utilises a log created by a HTTP adaptive streaming (HAS) algorithm run in an uncontrolled environment (i.e., wired or wireless networks), encoding visual changes and stall events in one video file. These videos are applicable for subjective QoE evaluation mimicking realistic network conditions. To supplement DashReStreamer, we re-create 234 realistic video clips, based on video logs collected from real mobile and wireless networks. In addition our dataset contains both video logs with all decisions made by the HAS algorithm and network bandwidth profile illustrating throughput distribution. We believe this dataset and framework will permit other researchers in their pursuit for the final frontier in understanding the impact of video QoE dynamics.

Današnje doba neraskidivih veza fizičkih i digitalnih komponenti zahtijeva velike količine informacija i podataka za generisanje adekvatnih odluka i postizanje efikasnijih sistema upravljanja. Doba Četvrte industrijske revolucije poznate kao Industrija 4.0 prvenstveno ističe digitalnu tehnologiju usmjerenu na integraciju sa Internetom stvari (IoT), pristup velikim količinama korisnih podataka u realnom vremenu i uvođenje sajber-fizičkih sistema. Industrija 4.0 fokusirana je na kreiranje rješenja kojima se omogućava digitalizacija i automatizacija procesa. Zbog toga rješenja Industrije 4.0 imaju značajne mogućnosti i pogodnosti za primjenu u transportu i logistici sa ciljem da obezbijede visokokvalitetne procese lanca opskrbe, te poboljšaju konkurentnost na tržištu eliminacijom troškova.

Today's age of unbreakable connections between physical and digital components requires large amounts of information and data to generate adequate decisions and achieve more efficient management systems. The era of the Fourth Industrial Revolution known as Industry 4.0 primarily highlights digital technology aimed at integration with the Internet of Things (IoT), access to large amounts of useful real-time data, and the introduction of cyber-physical systems.Industry 4.0 is focused on creating solutions that enable digitization and process automation. Therefore, Industry 4.0 solutions have significant capabilities and benefits for application in transport and logistics in order to provide high quality supply chain processes, and improve market competitiveness by eliminating costs

Currently, the world is facing major changes. Research and development of innovations in new technologies, the rapid pace of implementation of these innovations and especially digitization and automation, play a major role in shaping the future world. Technological innovations promise the transformation of the world we live in all its dimensions. However, in order for the benefits of innovation to be adequately exploited, it is necessary for us as a society to adapt to the coming changes. We must also keep in mind that these changes come at a time previously marked by uncertainty, turbulent changes and hyper competitiveness. The development and implementation of new technologies in business is motivated by a number of technical and economic reasons: improving the quality of finished products (machining, etc.), increasing productivity and reducing the share of work (assembly process), increasing the degree of homogeneity of product quality in all production processes related to the application of robotic technology, increasing the level of safety, reducing labor engagement in routine and reproducible processes, minimizing total production costs and maintenance costs of the device in the production process, all with the purpose of adequate responses to competition challenges and increasingly stringent customer requirements. Although the concept of Industry 4.0 is already widely used in developed countries, it is a relatively new concept in the Western Balkans, including Bosnia and Herzegovina. Most company managers understand the benefits of "smart" production and are familiar with new trends in the industry, intend to gradually introduce smart solutions, methods and technologies, and only a small number of companies in Bosnia and Herzegovina currently implement the concept of Industry 4.0. The paper presents the results of research on the application of Industry 4.0 technologies in all branches of the economy in Bosnia and Herzegovina and especially the representation of Industry 4.0 in small, medium and large enterprises. Detection of awareness of certain groups about the concepts of Industry 4.0 was performed, and the research method itself is based on an online survey.

Important quality indicators for products made by Additive Manufacturing (AM) methods include dimensional accuracy, tolerances, and surface roughness. This paper describes a novel benchmark part designed and manufactured by a Low Force Stereolithography (LFS) 3D printer and controlled on a coordinate measuring machine. The benchmark part contains basic geometric shapes used to check the deviation from the nominal dimensions and given features from the 3D CAD model. We have developed an automatic measurement strategy based on a 3D object model and a control plan based on previously defined allowable tolerances. We have measured the deviation from nominal dimensions, positions, and form, including cylindricity, flatness and parallelism. The results revealed large deviations in dimensions and acceptable deviations in the shape of a manufactured benchmark part.

Važni pokazatelji kvaliteta za proizvode proizvedene metodom aditivne proizvodnje (AP) uključuju tačnost dimenzija, tolerancije i hrapavost površine. Ovaj rad opisuje inovativni referentni standard koji je dizajniran i proizveden pomoću 3D printera koji koristi stereolitografiju niske snage (LFS) i koji je kontroliran na koordinatnoj mjernoj mašini. Referentni standard sadrži osnovne geometrijske oblike koji se koriste za provjeru odstupanja od nominalnih dimenzija i zadatih karakteristika iz 3D CAD modela. Razvili smo strategiju automatskog mjerenja baziranu na 3D modelu objekta i plan upravljanja na osnovu prethodno definisanih dozvoljenih tolerancija. Izmjerili smo odstupanje od nominalnih dimenzija, položaja i oblika, uključujući cilindričnost, ravnost i paralelnost. Rezultati su otkrili velika odstupanja od dimenzija i prihvatljiva odstupanja od oblika proizvedenog referentnog standarda.

Vještačka inteligencija (VI) je veoma disruptivna tehnologija, koja u kombinaciji sa snažnim hardverom za procesiranje otvara mogućnosti za opšti napredak u industriji. Postoji hitna potreba za sistemskim razvojem i implementacijom VI radi njenog učinka u industrijskim sistemima, posebno u četvrtoj industrijskoj revoluciji (Industrija 4.0). Tržišni subjekti koji ne usvoje VI neće biti u mogućnostiodržati svoju konkurentnost na tržištu. Ova publikacija pruža uvid u glavne paradigme VI korištene u Industriji 4.0, stavljajući naglasak na ključne digitalne tehnologije i njihove izazove. Pored toga, u ovoj publikaciji smo napravili pregled trenutnog stanja u VI, te pregled najvažnijih algoritama korištenih u Industriji 4.0. Pored navedenih tema, u ovoj publikaciji diskutujemo i o trendovima vezanim za usvajanje VI u kontekstu ugradbenih aplikacija i softverskih arhitektura uopšteno.

Artificial intelligence (AI) is a very disruptive technology, which combined with powerful computational hardware have opened new possibilities for world-wide technological progress in industry. There is an urgent need for systematic development and implementation of AI to see its real impact in the next generation of industrial systems, namely Industry 4.0. Organisations that do not do so will fail to maintain their competitiveness. This paper provides an insight into the main paradigms of AI technologies used in Industry 4.0, by giving emphasis to the key enabling digitalization technologies and their challenges. In addition, we present an overview of AI current state and the most important AI algorithms used in Industry 4.0. Finally, we discuss trends related to adoption of AI in the context of software embedded applications and software architectures for embedded systems.

The objective of this paper is to summarize the impact of Industry 4.0 on the most representative methods and tools of Lean Six Sigma methodology. General information about the most important Lean Six Sigma methods is given so that the reader can easily understand possible scenarios when comparing the original Lean Six Sigma tools with new evolving ones. Main references to this paper were systematically analyzed and compared to Industry 4.0 principles. The assumptions about survival of Lean Six Sigma in Industry 4.0 are based on the rapid progress of Big Data and High-Performance Computing. Lean and Six Sigma will survive Industry 4.0. Lean should retain its universality with little modification or update requirements, but Six Sigma will need some adaptations. The Six Sigma will be relevant in some cases, but to survive the Big Data and smart plants, it will require some changes in its analysis, methods, and tools. The paper provides useful insight into the adaptation of Lean Six Sigma methods to Industry 4.0, by explaining possible scenarios under which the original Lean Six Sigma tools will evolve into adapted ones.