Many research studies suggest that the increasing competitiveness of the global economy emphasizes the importance of identifying the drives of sustainable competitive advantage in the intangible domain. This research aims to, according to resource-based theory of the enterprise, model corporate reputation as an invisible resource of the enterprises that enables the creation of the various advantages such as customer satisfaction and gaining loyal customers that further leads to creating competitive advantage and superior business performance. The research aim is to determine the significance and intensity of the simultaneous relationships between corporate reputation, presented as a construct composed of two elements: competence and likeability, and customer satisfaction and customer loyalty. It seeks to determine the significance of the mediator customer satisfaction in the relationship between corporate reputation and customer loyalty. Research data are collected by a survey questionnaire fulfilled by 116 respondents to participate in the research on enterprises from the telecommunication sector of transition economy Republic of Srpska, Bosnia and Herzegovina. To test the proposed research model partial least squares structural equation modelling (PLS-SEM) is applied. Prior to application of the PLS-SEM certain preliminary data and sample analysis are performed. The presence of outliers and requirements of the sample size for PLS-SEM evaluation are examined. To determine whether final sample size is appropriate to conduct PLS-SEM analysis both rule of thumb and results of the analysis made by G*Power software were used. Construct likeability has nearly two times stronger direct effect on customer satisfaction compared to other element of corporate reputation called competence. Only one element of corporate reputation called likeability has significant direct effect on final target endogenous construct customer loyalty. Customer satisfaction has strong significant direct effect on customer loyalty. Beside direct effects of the latent constructs corporate reputation and customer satisfaction on customer loyalty, mediation analysis is performed to test the significance of the mediator called customer satisfaction. Research results indicate the importance of the mediator customer satisfaction in the relationship between corporate reputation and customer loyalty. According to them, both elements of corporate reputation have significant indirect effect on customer loyalty. Likewise, research results enable ranking of the exogenous factors that create and improve corporate reputation. Directing the management attention towards improving certain exogenous factors ensures the development of certain corporate reputation elements – competence and likeability, and provides efficient and effective corporate reputation management. It is revealed that corporate social responsibility, promoting products’ and services’ quality and better business performances improve competence element of corporate reputation, while corporate social responsibility and investments into raising the attractiveness of the enterprise positively influence sympathy and likeability of the enterprises from a stakeholder perspective.

With the rapid advances in IoT, edge and cloud computing solutions, it is critical to educate and train students in computer science and engineering in various aspects of IoT-edge-cloud (IoT-E-C) system architecture implementations. We outline the design and development of an undergraduate laboratory course that sets the goal of implementing various interfaces and communication protocols to connect IoT, edge and cloud computing systems and evaluating their performance. The lab setup is modular and based on open source tools. In the IoT context, it consists of low-cost processing platforms with various sensors and actuators. In the edge and cloud computing context, we implement and deploy single board computers and Firebase cloud solutions, respectively. The modular lab setup allows students to engineer and integrate various communication protocol solutions, including MQTT, COAP and HTTP. In addition to the system implementation, students can evaluate and benchmark the performance of the entire system.

In this article, we empirically analyze European Collateralized Loan Obligations (CLOs) in the aftermath of the financial crisis. As Regulation introduced the so-called risk retention rule, originally designed to align interests between issuers and investors, we analyze the implications and effects of the risk retention rule on managed cash CLOs (arbitrage deals). Although the market suffered severely during the period after the rule was introduced, an alignment of interests between issuers and investors does not necessarily seem to have been attained. Here, we examine the implications of risk retention on asset pricing and find that CLO manager experience, credit rating and issuance amount are important factors that significantly influence pricing expectations of CLO investors. However, the form in which the CLO manager retains the risk does not seem to play a role.

Abstract Our study aimed to develop and validate a reliable instrument that can measure the quality of life (QOL) of patients with cervical cancer living in a developing country, such as the Central Balkan country, Serbia. Our study was cross-sectional for assessing the reliability and validity of a questionnaire. Balkan questionnaire for QOL of patients with cervical cancer showed satisfactory reliability and temporal stability. When the investigators rated the questionnaire, Cronbach’s alpha was 0.971 at the beginning, and one month later it was 0.967. When the questionnaire was rated by patients themselves, Cronbach’s alpha was 0.972. The questionnaire should be considered as an addition to the existing armamentarium for measuring the quality of life in patients with cervical cancer.

Recipient effector T cells differentiate into functional tissue-resident memory T cells, causing graft rejection after kidney transplantation. Memories of rejection Long-term graft survival after organ transplantation can be hindered by immune-mediated allograft rejection; thus, understanding these immune responses is crucial to developing new transplant-supporting therapies. Tissue-resident memory T cells (TRM), a subset of memory T cells that reside in barrier tissues and do not recirculate, are detectable in transplanted organs, but it is unclear if they contribute to allograft rejection. Abou-Daya et al. created a mouse model of T cell–mediated kidney transplant rejection, showing that adoptively transferred, kidney antigen–specific effector T cells differentiated into functional, nonrecirculating antigen-specific TRM in the transplanted kidneys. These kidney antigen–specific TRM induced allograft rejection. These data suggest that TRM in transplanted allografts can contribute to rejection and that targeting alloreactive TRM might improve long-term graft survival in transplant recipients. Tissue-resident memory T cells (TRM) contained at sites of previous infection provide local protection against reinfection. Whether they form and function in organ transplants where cognate antigen persists is unclear. This is a key question in transplantation as T cells are detected long term in allografts, but it is not known whether they are exhausted or are functional memory T cells. Using a mouse model of kidney transplantation, we showed that antigen-specific and polyclonal effector T cells differentiated in the graft into TRM and subsequently caused allograft rejection. TRM identity was established by surface phenotype, transcriptional profile, and inability to recirculate in parabiosis and retransplantation experiments. Graft TRM proliferated locally, produced interferon-γ upon restimulation, and their in vivo depletion attenuated rejection. The vast majority of antigen-specific and polyclonal TRM lacked phenotypic and transcriptional exhaustion markers. Single-cell analysis of graft T cells early and late after transplantation identified a transcriptional program associated with transition to the tissue-resident state that could serve as a platform for the discovery of therapeutic targets. Thus, recipient effector T cells differentiate into functional graft TRM that maintain rejection locally. Targeting these TRM could improve renal transplant outcomes.

Although homeostasis is a commonly accepted concept, there is incontrovertible evidence that biological processes and functions are variable and that variability occurs in cycles. In order to explain and understand dysregulation, which has not been embraced by homeostatic principles, the allostatic model has emerged as the first serious challenge to homeostasis, going beyond its homeostatic roots. Circadian rhythm is the predominant variation in the body, and it is a pattern according to which many physiological and pathological events occur. As there is strong experimental and clinical evidence that blood pressure fluctuations undergo circadian rhythm, there is equally strong evidence that targeted time therapy for hypertension provides a better outcome of the disease. The research has gone even further throughout the development and approval process for the use of pulsatile drug release systems, which can be considered as an option for an even more convenient dosage regimen of the medicines needed.

In this work, we reinterpret ATLAS and CMS dijet resonance searches to set robust constraints on all hypothetical tree-level scalar and vector mediators with masses up to 5 TeV, assuming a diquark or a quark-antiquark coupling with an arbitrary flavor composition. To illustrate the application of these general results, we quantify the permissible size of new physics in B¯q→Dq∗+πK\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\overline{B}}_q\to {D}_q^{\left(\ast \right)+}\left\{\pi, K\right\} $$\end{document} consistent with the absence of signal in dijet resonance searches. Along the way, we perform a full SMEFT analysis of the aforementioned non-leptonic B meson decays at leading-order in αs. Our findings uncover a pressing tension between the new physics explanations of recently reported anomalies in these decays and the dijet resonant searches. The high-pT constraints are crucial to drain the parameter space consistent with the low-pT flavor physics data.

Abstract In patients with pulmonary embolism (PE), the D-Dimer assay is commonly utilized as part of the diagnostic workup, but data on D-Dimer for early risk stratification and short-term mortality prediction are limited. The purpose of this study was to determine D-Dimer levels as a predictive biomarker of PE outcomes in younger (<50 years of age) compared to older patients. We conducted retrospective analysis for 930 patients diagnosed with PE between 2015 and 2019 as part of the Serbian University Multicenter Pulmonary Embolism Registry (SUPER).All patients had D-Dimer levels measured within 24 hours of hospital admission. The primary outcome was mortality at 30 days or during hospitalization. Patients were categorized into two groups based on age (≤ 50 and >50 years of age). Younger patients constituted 20.5% of the study cohort. Regarding all-cause mortality, 5.2% (10/191)of patients died in group under the 50 years of age; the short-term all-causemortality was 12.4% (92/739) in older group.We have found that there was significant difference in plasma D-Dimer level between patients ≤ 50 years of age and older group (>50), p= 0.006.D-Dimer plasma level had good predictive value for the primary outcome in younger patients (c-statistics 0.710; 95% CI, 0.640-0.773; p<0.031). The optimal cutoff level for D-Dimer to predict PE-cause death in patients aged > 50 years was found to be 8.8 mg/l FEU(c-statistics 0,580; 95% CI 0.544-0.616; p=0.049). In younger PE patients, D-Dimer levels have good prognostic performance for 30-day all-cause mortalityand concentrations above 6.3 mg/l FEU are associated with increased risk of death. D-Dimer in patients aged over 50 years does not have predictive ability for all-caused short-term mortality. The relationship between D-Dimer and age in patients with PE may need further evaluation.

We aimed to explore factors for optimizing antimicrobial treatment in emergency departments. A single-day point prevalence survey was conducted on January 18, 2020, in 53 referral/tertiary hospitals in 22 countries. 1957 (17%) of 11557 patients presenting to EDs had infections. The mean qSOFA score was 0.37 ± 0.74. Sepsis (qSOFA ≥ 2) was recorded in 218 (11.1%) patients. The mean qSOFA score was significantly higher in low-middle (1.48 ± 0.963) compared to upper-middle (0.17 ± 0.482) and high-income (0.36 ± 0.714) countries ( P < 0.001). Eight (3.7%) patients with sepsis were treated as outpatients. The most common diagnoses were upper-respiratory (n = 877, 43.3%), lower-respiratory (n = 316, 16.1%), and lower-urinary (n = 201, 10.3%) infections. 1085 (55.4%) patients received antibiotics. The most-commonly used antibiotics were beta-lactam (BL) and BL inhibitors (n = 307, 15.7%), third-generation cephalosporins (n = 251, 12.8%), and quinolones (n = 204, 10.5%). Irrational antibiotic use and inappropriate hospitalization decisions seemed possible. Patients were more septic in countries with limited resources. Hence, a better organizational scheme is required.

Introduction Serological detection of SARS-CoV-2-specific immunoglobulins G (IgG) and M (IgM) antibodies is becoming increasingly important in the management of the COVID-19 pandemic. Methods We report the first results of COVID-19 serological testing in Bosnia and Herzegovina on 2841 samples collected and analysed in 2 medical institutions in Sarajevo. Antibody detection was performed using commercially available kits. Results In the first cohort, 43 IgM-positive/IgG-negative and 16 IgM-positive/IgG-positive individuals were detected, corresponding to 3.41% of participants having developed antibodies. In the second cohort, 4.28% participants were found to be IgM-negative/IgG-positive. Conclusions Our results suggest the need for population-wide serological surveying in Bosnia and Herzegovina.

Authors analyse and conceptually problematise specific phenomena of ‘two schools under one roof’ in Bosnia and Herzegovina. They argue that education in Bosnia and Herzegovina has been routinely exposed to various, contradicting demands and pressures, which result in, among other contradictions, ‘two schools under one roof’, which presents one of the world’s phenomenon within education. The authors are eager to present this specific education issue to the global public and provide some answers on various consequences, which appeared in this contemporary segregation form in Bosnia and Herzegovina. One of the significant objectives is to underline the concept in which education should be a human practice of cognition that is not determined by ideological currents. Furthermore, authors using several sociological and political science aspects regarding education, in general, will investigate and enlighten this specific phenomenon of segregation that is unique not only in the local but in the global context as well. The main objective of this article will be to present viable solutions on how ‘two schools under one roof’ can be altered or even abolished.

In this paper, based on the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, a matrix of Threats, Opportunities, Weaknesses and Strengths (TOWS) was formed. It represents possible business strategies of the transport company. To choose the right plan, a model based on the integration of Fuzzy PIvot Pairwise RElative Criteria Importance Assessment (fuzzy PIPRECIA), Full Consistency Method (FUCOM) and Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS) methods, has been formed. A case study was conducted in the transport company from Bosnia and Herzegovina which provides services on the domestic and the European Union market for 20 years and belongs to a group of small and medium enterprises (SMEs). The SWOT analysis in this transport company was the basis for forming the TOWS matrix, which represents a set of possible business strategies. These strategies are the basis for developing five basic alternatives. The transport company should choose the best one of them for future business. The research focuses on forming a model for choosing the best strategy by which the transport company seeks to improve its business. Decision-making (DM) is not a straightforward sequence of operations, so the harmonization of methods as well as the verification of their results, are essential in the research. This model is applicable in SMEs that make these and similar decisions. Using this model, companies can adjust their business policies to the results of the model and achieve better business results. This research is the first that allows the use of such a model in making strategic decisions.

In recent years, the number of requests for connection of PV systems to the medium voltage distribution network has been significantly increasing. In order to approve a connection, it is necessary to comprehensively consider the integration impacts on the grid. In this paper, a two-step quasi-dynamic network simulation in DIgSILENT PowerFactory automated by Python scripting is proposed. In the first step, based on statistics of meteorological parameters and consumer load profiles, long-term hourly sequences of PV system power production and load of all consumers were artificially generated. In the second step, a Monte Carlo simulation applied to IEEE 33-bus system with an integrated PV system was performed. As illustrative results, the voltage profile and active power losses are shown and discussed.