The beginning of modern history and the subsequent war in Bosnia and Herzegovina coincide with the institutional beginnings of the European Union common foreign and security policy. At that time, Europe did not have a single position, nor could it have achieved a political consensus on any issue. In addition, it lacked appropriate instruments, as well as readiness and willingness to actively engage to put an end to war in BiH. The war in BiH was stopped, however, thanks to the efforts of the United States. This was a crucial moment for Europe to modify its common foreign and security policy. The European Union has passed a thorny path of establishing common foreign and security policy. On this path, however, the EU has experienced some progress and achieved good results, although not sufficient, just as BiH has made some progress in reforms. In order for BiH to joint the family of modern democratic countries, it will need a stronger engagement of the European Union and its more decisive common foreign and security policy, because only together we can cope with global challenges. Peace and prosperity in Bosnia and Herzegovina will also help build free and stable Europe.

Direct numerical simulations (DNS) of knitted textile mechanical behavior are for the first time conducted on high performance computing (HPC) using both the explicit and implicit finite element analysis (FEA) to directly assess effective ways to model the behavior of such complex material systems. Yarn-level models including interyarn interactions are used as a benchmark computational problem to enable direct comparison in terms of computational efficiency between explicit and implicit methods. The need for such comparison stems from both a significant increase in the degrees-of-freedom (DOFs) with increasing size of the computational models considered as well as from memory and numerical stability issues due to the highly complex three-dimensional (3D) mechanical behavior of such 3D architectured materials. Mesh and size dependency, as well as parallelization in an HPC environment are investigated. The results demonstrate a satisfying accuracy combined with higher computational efficiency and much less memory requirements for the explicit method, which could be leveraged in modeling and design of such novel materials.

The paper deals with the three-dimensional (3D) modelling based on data acquired from 2D laser sensor and IMU (Inertial Measurement Unit) attached to the UAV (Unmanned Aerial Vehicle). The used multi-sensor unit produces 2D scans and provides information about Euler angles or quaternions. These angles are used to describe the UAV orientation in 3D space, more precisely the orientation of the laser sensor. In order to generate 3D occupancy map it is necessary to rotate the laser sensor around its axis yielding the 2D scans being mapped on 3D space using quaternions. Inertial sensor and Sweep LiDAR laser measurements are transmitted to the single board computer Odroid XU4 (SBC). The data fusion was performed under ROS (Robot Operating System) installed on the SBC, producing 3D space points. These points are transmitted over the network to the central computer on which the UAV localization and mapping processes are done within the ROS. The effectiveness of the proposed system for 3D modelling of the UAV environment is verified by experiment.

The paper presents a custom-made radiometric thermography system which provides a full radiometric IR inspection. It contains heterogeneous stereo-vision system with RGB and thermal camera, as well as the processor unit with developed embedded software modules. The software units were realized using C++ programming language within ROS development environment. In order to obtain the better representation of points in the space as well as their projections on the cameras planes, the stereo calibration was performed. The correspondence between RGB and thermal images is represented with homography. The object detection is performed using OpenCV feature detectors, while the recognition is carried out by Hu moments computation and K-means clustering. For the showcase, incandescent light bulbs, LED light bulbs and quartz heaters are detected and recognized as such. The developed system is capable of providing a heterogeneous inspection of heating systems, power lines, etc.

Abstract Ferrofluids based on magnesium substituted magnetite nanoparticles MgxFe3−xO4 (x = 0.1; 0.2; 0.4) were synthesised by a chemical co-precipitation method. Their physical properties have been compared with those of the magnetite based ferrofluid obtained by the same synthesis route. Both XRD and TEM studies showed particle size decrease with the increased Mg content while DLS experiments pointed to the more prominent aggregation of Mg-containing nanoparticles. Magnetic properties investigation conducted on the powder (i.e. dried) specimens showed decrease of magnetization values with increased Mg content except for the lowest concentration of x = 0.1 where substantial saturation magnetization rise of about 40% was recorded at room temperature. Heating abilities of the studied ferrofluids under the applied AC fields (SAR values) also showed decreasing trend with the increased Mg content even for x = 0.1 sample despite its elevated magnetization value. This trend has been understood as a consequence of the changed intrinsic nanoparticle properties such as size and magnetic anisotropy, as well as contribution of a collective behaviour due to an increased nanoparticle aggregation in Mg-doped systems.

(1) Max-Planck Institute for Solar System Science, Planets and Comets, Göttingen, Germany (joshir@mps.mpg.de), (2) Institute of Geology and Mineralogy, University of Cologne, Cologne, Germany (brigitte.knapmeyer-endrun@uni-koeln.de), (3) Institute of Geophysics, ETH Zürich, Switzerland (vandriel@erdw.ethz.ch), (4) Institute of Geophysics, ETH Zürich, Switzerland (savas.ceylan@erdw.ethz.ch), (5) Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA (mark.p.panning@jpl.nasa.gov)

This study analyzes the impact of conventional index (SASX-30) on Islamic index (SASE-BBI) in Bosnia and Herzegovina. In the study are used daily index observations spanning in a period from October 2016 until May 2018. The data is obtained from the Sarajevo Stock Exchange database. Vector Auto-regression analysis (VAR) and Impulse response functions are used in order to estimate the impact. The results show that there is a significant negative impact of conventional index volatility (SASX-30) on Islamic index volatility (SASX-BBI) in Bosnia and Herzegovina.

Learning outcomes The teaching objectives of the case study are to provide students with an understanding of how strategic marketing tools are applied in an international marketing context and how brands, especially brands that come from emerging markets, are introduced and managed within modern versus traditional trade (e.g. ethnic shops). Case overview/synopsis This case illustrates the challenges and opportunities related to the introduction of a brand to a new market wherein the product (traditional coffee), although part of a very well-developed product category (coffee), may have been new to consumers in the new market. The brand itself, Zlatna džezva, is a flagship brand in its home country (Bosnia and Herzegovina) within a developing market. However, both the brand and the traditional coffee experience are relatively unknown to other markets. The case study focuses on Vispak’s CEO and CMO who are contemplating their next business move in the new market. Finally, the Dutch market and consumers are presented to facilitate the process of segmentation, targeting and positioning for students. The case study concludes with a task and dilemma for managers of the company. Complexity academic level This case could be used in a variety of undergraduate level classes, depending on what the instructor wishes to emphasize. The authors use the case for following courses: principles of marketing, marketing management and international marketing. In all courses, the case is allowing students to obtain the greater overview of the scope of the strategic marketing decision-making. Before starting with case analysis, students should have some familiarity with central marketing issues and concepts, specifically related to analysis of environment, segmentation-targeting-positioning, product and brand management. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS: 8: Marketing.

In Bosnia and Herzegovina (BiH) there are no available data on permanent losses of agricultural land and it is evident that all the research and professional and scientific literature still uses the information of annual land loss in the amount of 3,000 ha which, according to the available references, has been in use since 1977 (Resulović, 1977-2010). The subject of this scientific research is to investigate changes in the use of agricultural land in BiH, sectoral policies and factors affecting these changes as well as the quality of official data on land and land use change. Analyzed as part of this research were three sets of data: statistical data (1961-1991), cadastral records (1973-1991) and CORINE data on land cover changes (2000-2018). Researches have shown that trends in changes in total agricultural land by all categories of use were not linear and were considerably affected by the socioeconomic development and sectoral policies. This study has shown that total agricultural land, according to statistical records from 1961-1991, was reduced by 101,222 ha (3,374 ha/yr). Within the category of arable land, the biggest permanent losses were recorded in cropland and gardens, amounting to 207,823 ha or 6,927 ha/yr, while in some other categories within the arable land an increase was recorded. According to cadastral records for the period 1973-1991, the total decrease of agricultural land amounts to 58,186 ha (3,232 ha/yr). According to CORINE data, the reduction of agricultural land in the period 20002018 is 14,152 ha or 786 ha/yr.

OBJECTIVES Staphylococcus aureus (SA) represents one of the most important microorganism that is part of the normal microflora of humans, but in certain conditions can cause very serious infections. Methicillin-resistant Staphylococcus aureus (MRSA) is responsible for a wide spectrum of nosocomial and community associated infections worldwide. The aim of this study was to determine community acquired MRSA (CA-MRSA), as well as the frequency of Panton-Valentine leukocidin (PVL) genes and staphylococcal cassette chromosome mec (SCCmec) types in isolates obtained from outpatients in the region of 700,000 people (Canton Sarajevo, Bosnia and Herzegovina) Methods: Our investigation included phenotypic and genotypic markers such as antimicrobial resistance, pulsed-field gel electrophoresis (PFGE), SCC typing, and PVL detection. RESULTS Antimicrobial susceptibility: all MRSA isolates were resistant to the β-lactam antibiotics tested, and all isolates were susceptible to trimethoprim sulphamethoxazole, rifampicin, fusidic acid, linezolid, and vancomycin. After the PFGE analysis, the isolates were grouped into five similarity groups: A-E. The largest number of isolates belonged to one of two groups: C - 60% and D - 27%. In both groups C and D, SCCmec type IV was predominant (60% and 88.8%, respectively). A total of 24% of the isolates had positive expression of PVL genes, while 76% showed a statistically significantly greater negative expression of PVL genes. CONCLUSIONS Using combination techniques, we were able to investigate the origin and genetic background of the strains. PFGE analysis revealed two large, genetically related groups of strains consisting of 87 isolates. Our results suggest failure to apply the screening policy, and a lack of knowledge about multiresistant MRSA strains. This study showed the local epidemiological situation which should be the basis of antimicrobial empiric therapy for non-hospitalized patients.

The presented study focuses on the impact analysis of a specific training programme primarily focusing on plyometric exercises for the lower limb explosive power, and the selected parameters of swimming turns. The tested set consisted of performance swimmers (n = 20, men n = 12 and women n = 8) in the average age of 17.3 years, average height of 174.2cm, and average weight of 65.8kg. The tested set was divided into two smaller sets. The experimental set (n = 10) used the training process as an extra experimental factor and the supervision set (n = 10) carried out only the main contents of the training process. The specific training schedule was applied during the period of 8 weeks, three times a week for 20 minutes. The effectiveness of the experimental factor was tested through a selected set of tests, focusing primarily on the lower limb explosive power. Three of the tests were conducted on the dryland using the Myotest machine: T1 – Squat jump (SJ), T2 – Countermovement Jump (CMJ) and T3 – Plyometric jump (PJ). The tests conducted in the swimming pool were: T4 – max. length of floating up after the push off from the turning wall, and T5 – the length of push off after 25m of breaststrokes in the maximum speed with a push off from the wall of maximum floating up. The results pointed out a proportionally higher increase in the experimental set, in which the average percentile improvement of the jump height amounted to 17.7% in T1 (the changes in the supervision set were 0.7%); in T2 the jump height was increased by 22% (the changes in the supervision set were 0.6%); in T3 the time of contact increased by 18.5% (the supervision set showed a decrease by 1.2%), T4 by 14.9% (the changes in the supervision set were 4.1%) and in T5 by 22.7% (the changes in the supervision set were 11.0%). Kendall correlation coefficient (r), pointed out the average value of the correlation coefficient between the experimental factor and the individual tests as follows: T1: r = 0.39, p<0.05; T2: r = 0.41, p<0.05; T3: r = 0.43, p<0.05, T4: r = 0.38, p<0.05 a T5: r = 0.41, p<0.05. In conclusion, practice, improvement, and affectivity of the swimming turn can affect the swimmers’ performance in races and improve it.

Cardiovascular disease (CVD) remains the leading cause of death worldwide and, despite continuous advances, better diagnostic and prognostic tools, as well as therapy, are needed. The human transcriptome, which is the set of all RNA produced in a cell, is much more complex than previously thought and the lack of dialogue between researchers and industrials and consensus on guidelines to generate data make it harder to compare and reproduce results. This European Cooperation in Science and Technology (COST) Action aims to accelerate the understanding of transcriptomics in CVD and further the translation of experimental data into usable applications to improve personalized medicine in this field by creating an interdisciplinary network. It aims to provide opportunities for collaboration between stakeholders from complementary backgrounds, allowing the functions of different RNAs and their interactions to be more rapidly deciphered in the cardiovascular context for translation into the clinic, thus fostering personalized medicine and meeting a current public health challenge. Thus, this Action will advance studies on cardiovascular transcriptomics, generate innovative projects, and consolidate the leadership of European research groups in the field. COST (European Cooperation in Science and Technology) is a funding organization for research and innovation networks (www.cost.eu).