BACKGROUND The efficacy of stromal vascular fraction (SVF) treatment, ie, stem cells, directly depends on the SVF cell count and their viability. The SVF cell count and viability are in direct correlation with adipose tissue harvesting site which yields SVF cells, thus making contribution to developing Tissue Guidance. OBJECTIVES To investigate the importance of harvesting subcutaneous adipose tissue-derived SVF cells on the concentration and viability of SVF. METHODS Adipose tissue was collected by vibration assisted liposuction, from the regions of the upper and lower abdomen, lumbar region and inner thigh region. Using the semi-automatic UNISTATION 2nd Version system (NeoGenesis, Seoul, South Korea), the obtained fat was chemically processed (collagenase enzyme) and a concentrate of SVF cells was obtained by centrifugation. These samples were then analyzed using the Luna-Stem Counter device (Logos Biosystems; Gyeonggi-do, South Korea) to measure the number and viability of SVF cells. RESULTS The highest concentration of SVF, comparing the regions of the upper abdomen, lower abdomen, lumbar, and inner thigh, was found in the lumbar region, specifically at 97498.00 per 1.0 ml of concentrate. The lowest concentration was found in the upper abdomen region. By ranking the viability values, the highest cell viability of SVF was observed in the lumbar region, measuring 36.6200%. The lowest viability was found in the upper abdomen region, measuring 24.4967%. CONCLUSIONS By comparing the upper and lower abdomen regions, lumbar and upper thigh regions, the authors have come to the conclusion that, on average, the largest number of cells and their viability was obtained from the lumbar region.

Climate change is recognized as a global threat that negatively impacts biodiversity and forest resources. The use of existing indicators for sustainable forest management (SFM) related to biodiversity and climate change, as well as the development of new indicators, will help assess how forest management practices impact biodiversity enhancement and climate change mitigation. A Pan-European set of criteria and indicators has been developed as a policy instrument for monitoring, evaluating, and reporting on the progress in implementing SFM. In Bosnia and Herzegovina and Western Balkans in general, the Pan-European set of criteria and indicators is an insufficiently researched topic and there is a lack of scientific research conducted regarding their development and implementation. Through the analysis of the current situation in forestry of the Federation of Bosnia and Herzegovina (FBiH), regarding the compliance and importance of the Pan-European criteria for SFM, this paper aims to explain how the international process of development and application of the Pan-European criteria for SFM can contribute to the improvement of the situation in forestry and the creation of a consistent forest policy in FBiH. The survey among forestry professionals (n=360), from the public forest administration and public forest companies in FBiH, included the sets of questions related to socio-demographic characteristics, assessment of compliance and importance of six criteria of SFM. Research results revealed that forestry professionals are mainly males, on average 41 years old, with 13 years of working experience. The majority of forestry professionals in FBiH are not familiar with Pan-European criteria for SFM, and have a low level of their understanding. On average, forestry professionals indicated that the Pan-European criteria for SFM were of high importance, while compliance with current forest management activities were rated lower on average. The large differences between responses regarding the average rating of compliance and importance of the Pan-European criteria for SFM indicate their low level of implementation in FBiH forest management activities. Accordingly, the results indicate that there is a need to organize educational lifelong learning programs in FBiH forestry sector, involving forestry professionals and other interested parties, to generate knowledge related to the Pan-European criteria for SFM and the concept of SFM in general.

Different industries are observing the positive impact of 360 video on the user experience. However, the performance of VR systems continues to fall short of customer expectations. Therefore, more research into various design elements for VR streaming systems is required. This study introduces a SW tool that offers straight-forward encoding platforms to simplify the encoding of DASH VR videos. In addition, we developed a dataset composed of 9 VR videos encoded with seven tiling configurations, four segment durations, and up to four different bitrates. A corresponding tile size dataset is also provided, which can be utilised to power network simulations or trace-driven emulations. We analysed the traffic load of various films and encoding setups using the dataset that was presented. Our research indicates that, while smaller tile sizes reduce traffic load, video decoding may require more computational power.

This paper provides a comprehensive overview of the latest Field Programmable Gate Array (FPGA) technologies that are being used to enhance smart and sustainable agriculture practices. The review was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) instructions as a report standard and different inclusion and exclusion criteria were utilized. To ensure data accuracy, reduce bias, and manage references, the Zotero tool was used. The agriculture industry is facing numerous challenges, such as water scarcity, soil degradation, and climate change, which can be mitigated through the integration of modern technologies. FPGAs have emerged as a promising solution in agriculture due to their high performance, flexibility, and low power consumption. In this paper, we discuss various FPGA-based solutions that are being developed to address key agricultural challenges, including precision farming, crop monitoring, livestock management, and environmental sensing. Authors also review FPGA architectures and programming tools that are specifically designed for agricultural applications. The use of FPGA-based systems in precision agriculture has resulted in numerous benefits, including reducing energy consumption, water usage, and temperature while expanding the range of applications. Additionally, the combination of IoT and FPGA is proving to be a promising solution for livestock management, and FPGA technology has also shown promise in energy efficiency and plant disease diagnosis. Overall, FPGA technology has proven to be a valuable tool in various aspects of agriculture, with its use expected to increase in the future.

Purpose This study aims to investigate the relationship between Islamic governance and the social performance of Islamic banks, pioneering a new aspect in terms of the impact of the National Shariah Board (NSB) on the social performance of Islamic banks. The essential body in the Islamic banks in charge of Islamic governance is the Shariah Supervisory Board (SSB). Therefore, in this study, the authors explore how the characteristics of the Shariah board and Islamic governance mechanisms influence the social performance of Islamic banks. Design/methodology/approach Panel data methods are applied to the annual data of 43 banks from 14 countries over the period 2012–2018 to explore the impact of Islamic governance on Islamic banks’ social performance. The authors have used all available bank annual reports in the given period. Social performance is measured by Maqasid al-Shariah (in terms of the goals of the Islamic moral economy) index using a comprehensive evaluation framework. Islamic governance is represented by the improved Islamic Governance Score (IG-Score) index, which measures the quality of Islamic governance in Islamic banks. In the research, the authors also introduce the frequency of SSB meetings in IG-Score. Findings The findings suggest a strong link between Islamic governance and the social performance of Islamic banks, illustrating the importance of the Shariah board in achieving maqasid. On the other hand, the research discovered that NSBs are inefficient and the existence of NSB can jeopardize the social performance of Islamic banks. The results of this research imply valuable recommendations for Islamic banks that are keen to improve their social performance. Originality/value Besides investigating the impact of SSB governance on the social performance of Islamic banks by using an improved IG score index, to the best of the authors’ knowledge, this is the first study that investigates the impact of NSBs on the social performance of Islamic banks.

For many years now MATLAB has been considered the academia standard when it comes to technical computing and simulation. Many university and college courses rely on multiple tool-boxes and ad-dons that MATLAB provides. With its relatively simple syntax, and large user community it has been, for so many years, a logical choice for academia. However, more often than not, students fresh out of university have been facing a new software that has very quickly become an industry standard in many areas of electrical engineering. On a simple example of DC motor control, this paper aims to showcase advantages of early adoption and using LabViewfor programming and simulation purposes in academia.

Abstract: The degradation of the environment is one of the most urgent challenges today. Since the industrial revolution, we have only known the model of linear economy that deals with the relationship between growth and consumption with the creation of large amounts of waste. As an alternative, a new the concept of the mod-ern economy, the circular economy. The underlying assumptions of such a system are characterised by a ten-dency towards efficient use, and recycling and re-use of resources asit would limit the negative environmental impacts of the economy, while reducing costs in economic activities with the aim of economic growth. Our goal in this paper is to highlight the role and significance of the Circular Economy and natural resources in the process of creation of competitive advantages in a globaly connected world as well as in Bosnia and Herzegovina. Our companies have preferred the mass production method of material wealth based on the mass consumption of natural resources as the main economic development method while pursuing high economic growth and maximum economic profit. These days, this economic development method faces various limitations. Many problems, such as mass generation of wastes exceeding the natural purification capacity, enormous damage environment, deepening of natural disasters and global warming, various disputes surrounding natural resources. This analysis highlights that the use of circular economy tools can help economic policy makers and researchers to take into account the impact on the environment during strategic planning activities and projections of economic growth in BiH.

A search is presented for a heavy resonance $Y$ decaying into a Standard Model Higgs boson $H$ and a new particle $X$ in a fully hadronic final state. The full Large Hadron Collider Run 2 dataset of proton-proton collisions at $\sqrt{s}= 13$ TeV collected by the ATLAS detector from 2015 to 2018 is used, and corresponds to an integrated luminosity of 139 fb$^{-1}$. The search targets the high $Y$-mass region, where the $H$ and $X$ have a significant Lorentz boost in the laboratory frame. A novel signal region is implemented using anomaly detection, where events are selected solely because of their incompatibility with a learned background-only model. It is defined using a jet-level tagger for signal-model-independent selection of the boosted $X$ particle, representing the first application of fully unsupervised machine learning to an ATLAS analysis. Two additional signal regions are implemented to target a benchmark $X$ decay into two quarks, covering topologies where the $X$ is reconstructed as either a single large-radius jet or two small-radius jets. The analysis selects Higgs boson decays into $b\bar{b}$, and a dedicated neural-network-based tagger provides sensitivity to the boosted heavy-flavor topology. No significant excess of data over the expected background is observed, and the results are presented as upper limits on the production cross section $\sigma(pp \rightarrow Y \rightarrow XH \rightarrow q\bar{q}b\bar{b}$) for signals with $m_Y$ between 1.5 and 6 TeV and $m_X$ between 65 and 3000 GeV.

The paper evaluates statistical significance of the differences in the feature values necessary to differentiate the signals corresponding to cardiac arrhythmia (AR) and atrial fibrillation (AF). The initial set of heart rate variability (HRV) features includes time and frequency domain metrics, as well as geometric metrics based on the Poincare diagram. Due to non-uniformity of the heart rate signal, frequency domain features are calculated using two approaches: the Lomb-Scargle method for spectral analysis for non-uniform signals, and Welch method for uniform signals, but after the signal interpolation and resampling. Selection of an appropriate statistical test was depending on the distribution of feature values. Normal distribution allowed use of parametric ANOVA test and otherwise non-parametric Wilcoxon–Mann–Whitney test were used. The statistical tests indicated statistically significant difference between the two observed groups of signals of interest with respect to the evaluated feature. The success of the classification depends on the well-chosen features according to their importance. In the paper, statistical tests resulted in selection of 27 features out of the initial 51. The proposed set of features could be used for the classification between the AR and AF signals to assist diagnosis of the mentioned heart diseases.

This paper presents the implementation of the Binary Search Algorithm (BSA) to determine the Maximum Power Point (MPP) of a photovoltaic (PV) system under variable weather conditions. Additionally, the conventional well-known Perturb and Observe (P&O) algorithm is also implemented to be compared with the binary search based Maximum Power Point Tracking (MPPT) algorithm. Both algorithms are implemented in real time in MATLAB/Simulink environment. The experimental study is performed using the two 260 W series connected PV modules, the buck converter, and Humusoft MF 634 card to enable real-time operation. The value of the duty cycle for the buck converter is being updated in each step moving the operation point closer to MPP. The obtained experimental results demonstrate that the binary search based MPPT algorithm is more efficient and accurate when compared to the P&O MPPT algorithm.

Technical advances as well as continuously evolving business demands are reshaping the need for flexible connectivity in industrial control systems. A way to achieve such needs is by using a service-oriented approach, where a connectivity service middleware provides controller as well as protocol-specific interfaces. The Message Queuing Telemetry Transport (MQTT) protocol is a widely used protocol for device-to-device communication in the Internet of Things (IoT). However it is not commonly integrated in industrial control systems. To address this gap, this paper describes the development and implementation of a prototype of a connectivity service middleware for MQTT within an industrial private control network. The prototype implementation is done in the context of an industrial controller, and used in a simulated modular automation system. Furthermore, various deployment scenarios are evaluated with respect to response time and scalability of the connectivity service.

Cause-effect graphs are a commonly used black-box testing method, and many different algorithms for converting system requirements to cause-effect graph specifications and deriving test case suites have been proposed. However, in order to test the efficiency of black-box testing algorithms on a variety of cause-effect graphs containing different numbers of nodes, logical relations and dependency constraints, a dataset containing a collection of cause-effect graph specifications created by authors of existing papers is necessary. This paper presents CEGSet, the first collection of existing cause-effect graph specifications. The dataset contains a total of 65 graphs collected from the available relevant literature. The specifications were created by using the ETF-RI-CEG graphical software tool and can be used by future authors of papers focusing on the cause-effect graphing technique. The collected graphs can be re-imported in the tool and used for the desired purposes. The collection also includes the specification of system requirements in the form of natural language from which the cause-effect graphs were derived where possible. This will encourage future work on automatizing the process of converting system requirements to cause-effect graph specifications.

In this paper, an analysis of depolarisation in Body Area Networks for Body-to-Infrastructure communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were made with an off-body antenna transmitting linearly polarised signals and dual-polarised receiving antennas carried by the user on the body. A Normal Distribution with a mean of 2.0 dB and a standard deviation of 4.3 dB is found to be the best fit for modelling cross-polarisation discrimination. The average correlation between the signals received by the orthogonally polarised antennas is below 0.5, showing that polarisation diversity can be used. A model is proposed for the average value of the standard deviation of the cross-polarisation discrimination ratio as a function of the transmitted polarisation, the mobility of users and link dynamics.

This paper analyses court cases which qualified as organised crime in Bosnia and Herzegovina (B&H). The final judgments were analysed according to the following criteria: the number of defendants; the continuity of membership within the crime organisation; the existence of criminal structure; the existence of a developed plan of activities; the type and number of the offences committed; influence on public authorities, the judiciary, and citizens; and sentences imposed on the defendants. This paper seeks to identify the extent to which court judgments are based on these criteria. A secondary analysis of the data related to the organised crime cases heard in the Court of Bosnia and Herzegovina in the period between 2015 and 2018 was conducted. This analysis encompassed 21 organised crime cases in which 27 judgments were pronounced. In the observed period (2015-2018), we identified two organised criminal groups that meet the criteria analysed. The identified number of organised criminal groups is minimal in relation to the total number of organised crime cases processed. Our findings contradict the prevailing view in public discourse that organised crime is a widespread security threat in BiH. The findings of our research demonstrated the existence of legal gaps, reflected in the lack of clear criteria on the basis of which OCGs can be distinguish from other forms of criminal activity. Legal and institutional weaknesses create opportunities for OCGs to operate and create a sense of insecurity among citizens in the already complex security environment in B&H.