We present a case of 55-years old man with severe mitral regurgitation with significantly reduced ejection fraction, paroxysmal atrial fibrillation and hypertension, who underwent surgical procedure of the replacement of the mitral valve.

We present a case of 72-years old patients with long standing heart failure with reduced ejection fraction, diabates mellitus with chornic renal failure and previous CRT implantation, in whom initation of new treatment with empaglifozine and sacubitril valsartin in addition to beta-blockers and diuretics significantly improved hic clinical condirion and laboratory status.

There is no doubt that examples from folklore have useful, functional and aesthetic value in music teaching, and that it is preferable to use them for educational purposes. Selected examples of folk songs from Montenegro have their own frame and way of musical thinking, which is not always adaptable to musical didactics in terms of notation standards. However, they are adapted and still show that folk songs can be interpolated into the system of music education. From the selected examples of folk songs from Bosnia and Herzegovina, only a small number of examples can be used for illustration, but not for solving specific elements. The notation of Bosnian sevdalinka often contains a series of passing tones that are the result of freedom of interpretation, as well as unresolved metro-rhythmic elements that are not compatible with elementary notation standards.

In this paper, a new power calculation method has been presented. This method is based on a second-order generalized integrator frequency locked loop (SOGIFLL) and has enhanced features over classical methods for power calculation widely used in industry. The FLLs have a wide variety of applications such as power converters, grid synchronization, sensorless flux estimation, and control of motor drives. The nature of the FLL allows for it to be a potentially perfect calculation method for power calculation. The obtained results showcase the effectiveness of the proposed power calculation method.

The aim of this paper is to present the organization of the educational process in class-teaching during COVID-19 (12.03.2020.-09.07.2020). The paper presents fraction of the teaching process with first-grade students of primary school during the pandemic. An explanation of the key words will be presented, the historical development of distance learning, the practical application of distance learning in the 2019/2020 school year, and the future of distance learning.

Bosnia and Herzegovina, having an extremely complex state system and at the same time being a developing country and economy in transition with a commitment to membership in the European Union, faces numerous challenges in adapting national legislation to the acquis communautaire. One of the key segments of the introduction of European standards is the establishment of an effective mechanism for the protection of competition in legislative and institutional terms. With the adoption of the Competition Law in 2005, which brings new solutions and is largely in line with the acquis, Bosnia and Herzegovina has made a significant step forward from the previous state of legal irregularity in this important segment. However, sixteen years of the enforcement of the BiH Competition Law have shown certain shortcomings regarding the particular solutions contained in it. These shortcomings concern the part of the provision of the law that regulates procedural issues, but also the functioning of the authority responsible for the protection of competition in Bosnia and Herzegovina and it can be assumed that these are obstructive elements in response to the challenges of COVID-19 pandemic. In order to follow the international trends, companies in BiH have entered into a process of business digitalization, which, however, being accelerated due to COVID-19 pandemic, has created many challenges before the Council of Competition of BiH as the authority responsible for public enforcement of the competition law. The aim of this paper is to question the extent to which COVID-19 pandemic has affected the work of the Council of Competition BiH, as well as to address some of the particular issues it has faced before the pandemic, including growing market concentration, growing power of digital platforms, protectionism, consumer vulnerability and consequent loss of public confidence. In order to meet the set research goals, the first part of the paper will present an analysis of the legal solutions in the context of the legal and institutional aspect of competition protection and will provide an overview of the situation regarding the digitalization of business operations in Bosnia and Herzegovina. The second part of the paper will provide an analysis of the work of the Council of Competition of BiH with special reference to the period of declaring the pandemic COVID-19.

Introduction: During the Coronavirus Disease 19 pandemic (COVID-19), healthcare workers of a COVID hospital are constantly in an environment that predisposes stress and burnout. In such an environment, low self-esteem can be a huge problem. The work environment in which health workers find themselves during a pandemic contributes significantly to a reduced quality of life. We wanted to explore the level and relationship of self-esteem and quality of life in healthcare workers working in a COVID-19 hospital at the peak of the pandemic. Methods: A cross-sectional study was designed. The study was conducted at a COVID-19 hospital in Bosnia and Herzegovina. The survey was conducted between December 2020 and May 2021, at the peak of the third wave. Data from 116 correctly and fully completed questionnaires were analyzed. The following questionnaires were used: the Socio-Demographic Questionnaire personally designed, the World Health Organization Quality of Life-BREF, the Rosenberg Self-Esteem Scale. Results: There was a statistically significant positive correlation between the self-esteem level and domains of quality of life (p < 0.001). The results of the regression analyses indicated that the psychological well-being domain significantly predicted the self-esteem level (p < 0.001). It was found that self-esteem significantly predicted the psychological domain at a strongest level (p < 0.001). The physical health domain was significantly negatively affected by the socio-demographic variable “Gender” (p < 0.05), and positively by the “Preparation” variable (p < 0.05). Conclusion: There was a statistically significant positive correlation between the self-esteem level and QOL among healthcare workers working at a COVID hospital. The self-esteem level significantly predicted all four quality of life domains. © 2021, Opca Bolnica Zadar. All rights reserved.

ISSN 2620-0406 Citation: Šikman, M. M, & Grujić, M. (2021). Relationship of AntiMoney Laundering Index with GDP, financial market development, and Human Development Index. NBP. Nauka, bezbednost, policija, 26(1), 21–33. doi:10.5937/nabepo26-29725 Abstract: Money laundering has a direct impact, among other things, on the economic development of a country. The aim of this research is to determine the correlation between money laundering and economic development expressed through GDP, as well as between financial market development (FDI) and the Human Development Index (HDI). The results of the research show that there was a significant relationship between the observed variables, i.e. that there is a relation of the Anti-Money Laundering Index (AMLI) on GDP, financial market development and the HDI. Namely, given that medium-strong links between the observed variables have been established, it can be claimed that there is reason to believe that “copying the behaviour” of a certain country in the fight against money laundering can further develop the financial market, influence human development or an increase in GDP per capita. In particular, a decrease in the AMLI was expected to increase the FDI (R2 = 0.2601). A decrease in the AMLI was expected to increase the HDI (R2 = 0.5747). In that way, financial institutions are directly affected, which negatively relates to economic and political stability.

This paper presents an empirical verification of the effectiveness and usefulness of investment diversification using the main stock exchange indices and Bitcoin. The objective is to determine the effects applying the Markowitz portfolio optimization theory, i.e., the advantages of applying the modern portfolio theory for institutional investors. The research offers an answer to the following question: what are the advantages and disadvantages of using Bitcoin in portfolio optimization? The paper contributes to the representation of the reach and limitations of the modern portfolio theory for institutional investors. The conclusion is that rational behaviour of institutional investors requires consideration of portfolio optimization using the Markowitz model, because it is possible to create portfolios which, on the basis of historical returns, provide desired returns alongside certain risks. The methodology includes the analysis of high frequency data, i.e., daily trading data were used. The results indicate that the use of the Markowitz portfolio selection method, with all its limitations, is desirable, possible and applicable, but that it entails serious flaws in the sense of neglecting transaction costs, foreign exchange differences and the real value in the stock market. The results of the research show that Bitcoin is a good source of diversification in a portfolio that contains traditional financial instruments both for the risk-averse investor as well as for those investors who have a greater appetite for risk. The conclusion is that rational behavior of institutional investors requires consideration of investing in Bitcoin using the Markowitz model. However, given the high degree of volatility, investors should be very careful when making decisions about including Bitcoin in the portfolio.

This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains, neurosciences and wireless communications, motivated by the ongoing efforts to define the Sixth Generation of Mobile Networks (6G). In particular, this tutorial first provides a novel integrative approach that bridges the gap between these two seemingly disparate fields. Then, we present the state-of-the-art and key challenges of these two topics. In particular, we propose a novel systematization that divides the contributions into two groups, one focused on what neurosciences will offer to future wireless technologies in terms of new applications and systems architecture (Neurosciences for Wireless Networks), and the other on how wireless communication theory and next-generation wireless systems can provide new ways to study the brain (Wireless Networks for Neurosciences). For the first group, we explain concretely how current scientific understanding of the brain would enable new applications within the context of a new type of service that we dub brain-type communications and that has more stringent requirements than human- and machine-type communication. In this regard, we expose the key requirements of brain-type communication services and discuss how future wireless networks can be equipped to deal with such services. Meanwhile, for the second group, we thoroughly explore modern communication systems paradigms, including Internet of Bio-Nano Things and wireless-integrated brain–machine interfaces, in addition to highlighting how complex systems tools can help bridging the upcoming advances of wireless technologies and applications of neurosciences. Brain-controlled vehicles are then presented as our case study to demonstrate for both groups the potential created by the convergence of neurosciences and wireless communications, probably in 6G. In summary, this tutorial is expected to provide a largely missing articulation between neurosciences and wireless communications while delineating concrete ways to move forward in such an interdisciplinary endeavor.

An algorithmic instrumentation amplifier (INA) with dynamic analog signal processing (DASP) is presented in this article. The proposed approach is based on any basic INA (BINA) subjected to a simple algorithmic operation performed by DASP. The resulting common-mode rejection ratio (CMRR) equals double squared CMRR value of the BINA, with no need for any additional matching. The prototype has been made in a discrete technique with a single supply voltage of 2.7 V. The voltage-mode INA(VMIA) with two operational amplifiers (OAs) has been used as the BINA. The measurements have been performed for six different clock pulse frequencies ranging from 30 to 80 kHz with a step of 10 kHz used in the DASP. The resulting CMRR of 90.03, 80.35, 66.48, and 53.15 dB are achieved starting from a poor CMRR of 42.52, 36.80, 30.09, and 23.76 dB of the BINA, respectively, confirming the proposed CMRR enhancement model $2\times $ CMRR [dB] +6 dB.