This work studies hardware and software aspects concerning the implementation and the performance evaluation of a fast real-time embedded Model Predictive Control (MPC). This study is carried out using a low cost and a low power off-the-shelf high performance embedded computing platform (ARM Cortex M) and an off-the-shelf generic embedded MPC software implementation, with a general purpose QP (quadratic programming) solver (MATLAB). As an example, two oscillating masses system subject to input and output constraints is used. Throughout MPC evaluation is done using a hardware-in-the-loop (HIL) experiments, achieving a couple of milliseconds sampling rates.

This paper shows how to integrate data from enterprise database with spatial data, publish them together to online interactive map, and enable public users to perform analysis in simple web interface. The fact, that this is a public site, where users are not known in advanced and not trained, calls for importance of usability and intuitive user interface design. Also, system administrators are not willing to invest a lot of time in learning the basics of a system, and data providers need effective geoportals to enable access to spatial data and services via the Internet. All these needs should be reconciled during the implementation of the solution. Due to increasing interest of forestry and agricultural organizations in spatial data infrastructure (SDI) development and public users' needs for biomass data web presentation and analysis in Bosnia and Herzegovina, as case study is used the project of Biomass Potential Database with Online Atlas development. Additionally, here is proposed application of the geoportal using online atlas as spatial decision support tool.

Introduction: The number of newly diagnosed skin cancers per year is greater than the sum of the four most common cancers: breast, prostate, lung, and colon. The implementation of primary and secondary prevention measures, over the last 2 to 3 decades, has made a major contribution to successful treatment. Aim: Evaluate the accuracy and reliability of teledermoscopic versus clinical diagnosis for skin cancers when diagnostic algorithms are used, and when GPs and surgical specialties are involved in the clinical procedure. Methods: Digital dermoscope (TS-DD, by Teleskin company) was used for the acquisition of teledermoscopic photographs and specialized teledermoscopic software was used for clinical examination and teledermoscopic consultation. The teledermoscopic procedure itself was performed in two steps. The first step was a clinical examination using the ABCDE rule with digital dermoscopic photography of the suspected lesion. The second step was a 2-step dermoscopic evaluation using the second step ABCD algorithm for the second step. Accuracy and diagnostic reliability were calculated for: teledermoscopic diagnosis versus histopathological diagnosis; clinical diagnosis versus histopathological diagnosis and teledermoscopic diagnosis versus clinical diagnosis. Results: The study included 120 patients with 121 Pigmented Skin Lesions, of which 75 (62%) were benign and 46 (38%) were malignant lesions (6 melanomas and 40 NonMelanoma Skin Cancers). Diagnostic accuracy between teledermoscopic and histopathologic diagnosis was 90.91% and reliability k=0.81; between clinical and histopathological diagnosis the diagnostic accuracy was 82.64% and the reliability k=0.64 and between the clinical and teledermoscopic diagnosis the diagnostic accuracy was 81.82% and the reliability k=0.62. Conclusion: The achieved diagnostic accuracy between clinical and teledermoscopic diagnosis, when using diagnostic algorithms, establishes a feasible screening path for skin cancers and indicates that general practitioners and specialized surgeons may equally be involved in prevention.

Distributed Ledger Technologies are one of the pillars of future technologies, prognozing to have a great impact to many aspects of our lives, including social, economic, juristic, security and many others. Bitcoin is still the most popular blockchain currency, but the opportunities to use Distribute Ledger Technologies are much more wide, outperforming financial applications as most known and popular. Besides blockchains, there are also other architectures of Distributed Ledger Technologies. This paper observes and analyses one technology as a very strong alternative to blockchains: hashgraphs, which are promising to outperform blockchains, but also tangles. Basis of their architecture and functionality will be explained and directions and prognosis of the further development will be given. The main paper contribution is a comparison of a hashgraph technology to its concurrent architectures, i.e. blockchains and tangles, considering different segments and different properties that define a quality of Distributed Ledgers.

Introduction: Results of preclinical and clinical studies in medicine could be trusted only if their design and statistical analysis were appropriate. Aim: The aim of our study was to investigate whether preclinical and clinical studies published in medical journals of Bosnia and Herzegovina satisfy basic requirements for appropriate design and statistical interpretation of data. Methods: Preclinical and clinical studies published in medical journals of Bosnia and Herzegovina were retrieved from the PubMed database, and the sample for analysis was randomly chosen from the retrieved publications. Implementation rate of basic principles of experimental design (local control, randomization and replication) and rate of the most common errors in design of clinical/observational studies was established by careful reading of the sampled publications and their checking against predefined criteria. Results: Our study showed that only a minority of experimental preclinical studies had basic principles of design completely implemented (7%), while implementation rate of single aspects of appropriate experimental design varied from as low as 12% to as high as 77%. Only one of the clinical/observational studies had none of the errors searched for (2%), and specific errors rates varied from 10% to 89%. Average impact factor of the surveyed studies was around one, and average publication date recent, less than 5 years ago. Conclusion: Prevalence of preclinical studies that did not follow completely basic principles of research design, and that of clinical/observational studies with errors are high, raising suspicion to validity of their results. If incorrect and not protected against bias, results of published studies may adversely influence future research.

Introduction: COVID-19 is the disease caused by an infection of the SARS-CoV-2 virus, first identified in the city of Wuhan, in China’s Hubei province in December 2019. COVID-19 was previously known as 2019 Novel Coronavirus (2019-nCoV) respiratory disease before the World Health Organization (WHO) declared the official name as COVID-19 in February 2020. Aim: The aim of this study is to search scientific literature in the biomedicine and analyzed current results of investigations regarding morbidity and mortality rates as consequences of COVID-19 infection of Cardiovascular diseases (CVD), and other most common chronic diseases which are on the top mortality and morbidity rates in almost all countries in the world. Also, to propose most useful measures how to prevent patients to keep themselves against COVID-19 infection. Methods: We used method of descriptive analysis of the published papers with described studies about Corona virus connected with CVD, and, also, Guidelines proposed by World Health Organization (WHO) and European Society of Cardiology (ESC), and some other international associations which are included in global fighting against COVID-19 infection. Results: After searching current scientific literature we have acknowledged that not any Evidence Based Medicine (EBM) study in the world during last 5 months from the time when first cases of COVID-10 infection was detected. Also, there is no unique proposed ways of treatments and drugs to protect patients, especially people over 65 years old, who are very risk group to be affected with COVID-19. Expectations that vaccine against COVID-19 will be produced optimal during at least 10 months to 2 years, and in all current Guidelines most important proposed preventive measures are the same like which one described in Strategic documents of WHO, in statements of Declaration of Primary Health Care in Alma Ata in 1978. Conclusion: WHO proposed preventive measures can be helpful to everybody. Physicians who work at every level of Health Care Systems, but especially at primary health care level, must follow those recommendations and teach their patients about it. But, the fact is that current focus of COVID-19 epidemic has targeted on protection of physical health of population in global, however, the influence on mental health which will be one of the important consequences of COVID-19 pandemic in the future, and which could be declared as «Post-coronavirus Stress Syndrome„ (PCSS) could be bigger challenge for Global Public Health.

The main objective of this study was to determine the content of heavy metals Cd, Pb, Hg and metalloid As in samples of date mussels Lithophaga lithophaga L., 1758 in order to evaluate the health risks for mussel consumers. Samples of shellfish were obtained from commercial sources and fishery in the area of Sarajevo. The content of heavy metals and arsenic is determined in a total of 46 samples. Samples were prepared by microwave digestion. For the analysis of total As, cadmium and lead, an atomic absorption spectrophotometer with graphite furnace was used, while mercury content was determined using a direct Hg analyser. In all samples, the content of heavy metals and arsenic was above the quantification limit of the given methods. The content of all analysed metals and metalloid was below the limits of their maximum allowable concentration in food, according to the current regulations in Bosnia and Herzegovina and the European Union. Evaluation of the public health risks associated with date mussels' consumption indicates that there is no evident risk for a moderate adult consumer.

Molecular strong-field approximation is applied to above-threshold detachment of homonuclear diatomic molecular negative ions. Differences between the photodetachment amplitudes for neutral diatomic molecules and diatomic anions, for both direct and rescattered electrons, are examined. Numerical results for the photoelectron spectra of $ {\rm C}_2^ - $C2− molecular anions for different intensities and wavelengths of a linearly polarized laser field and different molecular anion orientations are shown and discussed. Two-center destructive interference minima (suppression regions) in the rescattering part of the photoelectron spectra are observed. For molecules with molecular orientation defined by the angle $ {\theta _L} $θL with respect to the laser-field polarization axis, these minima manifest as two parallel straight lines in the distribution of the photoelectron yield presented in the photoelectron momentum plane. These lines make the angle $ {90^ \circ } - {\theta _L} $90∘−θL, with the momentum component parallel to the laser-field polarization axis. Focal-averaged photoelectron spectra are also presented and analyzed.

High-order harmonic generation by orthogonally polarized two-color (OTC) laser fields is analysed using strong-field approximation and quantum-orbit theory. Results for the field components frequency ratio of 2:1 and 3:1 are presented and compared. We have shown that, depending on the relative phase between the field components, the shape of the high-harmonic spectrum can be very different from that obtained by a monochromatic linearly polarized laser field. It is also shown that it is possible to generate elliptically polarized high-order harmonics with very high photon energies using OTC laser field with the frequency ratio of 3:1 and a long fundamental wavelength. An effective relative phase control of the harmonic emission is demonstrated. The obtained results are explained using the quantum-orbit theory.

Background: Borrelia burgdorferi and tick-borne encephalitis (TBE) virus are 2 types of tick-borne pathogens that can cause central nervous system infection. Routine diagnostics have so far included analysis of cerebrospinal fluid (CSF) cell numbers, CSF serology for Borrelia burgdorferi and serum serology for TBE virus. However, early diagnosis may be difficult based on antibody detection which takes time to analyze, and with the possibility of false negative results, thus delaying treatment. Cytokine analyses are becoming increasingly available in clinical routine care and may offer important information. Methods: Fifteen cytokines and chemokines were measured in the CSF from the diagnostic lumbar puncture of 37 children with TBE, 34 children with neuroborreliosis and 19 children without evidence of central nervous system infection, using Luminex technology. Results: Significantly higher levels of proinflammatory interleukin-6 were detected in the samples from TBE-infected children, when compared with neuroborreliosis or controls. In comparison, children with neuroborreliosis had significantly higher levels of interleukin-7, interleukin-8, interleukin-10, and interleukin-13 when compared with TBE infected or controls. Furthermore, the ratio between interleukin-6 and interleukin-10 was significantly different between the 2 types of tick-borne infections. Conclusions: The interleukin-6/interleukin-10 ratio can be used as a rapid diagnostic cue upon suspected tick-borne infection, enabling fast and correct treatment. Also, in serology-negative results, such information may strengthen a clinical suspicion.

Abstract Simultaneous adsorption of heavy metals in complex multi metal system is insufficiently explored. This research gives results of key process parameters optimization for simultaneous removal of Cd(II), Co(II), Cr(III), Cu(II), Mn(II), Ni(II) and Pb(II) from aqueous solution (batch system). New lemon peel-based biomaterial was prepared and characterized by infrared spectroscopy with Fourier transformation (FTIR), scanning electron microscopy (SEM), electron dispersive spectroscopy (EDS), while the quantification of metals was made by atomic absorption spectrometry (AAS). Simultaneous removal of seven metals ions was favorable at pH 5 with 300 mg/50 mL solid-liquid phase ratio, within 60 min at room temperature with total obtained adsorption capacity of 46.77 mg g−1. Kinetic modeling showed that pseudo-second order kinetic and Weber-Morris diffusion models best describe the adsorption mechanism of all seven heavy metals onto lemon peel.

Introduction: Patients with hip fracture are one of the most demanding groups in the health-care system. One of the most important tasks for nurses is to assess pain and ensure the patients are pain free. Pain assessment in patients with dementia is a well-known challenge for health-care professionals due to the patients’ difficulties in verbalising pain problems. Aim: The aim of this study was to explore the experience of intensive care nurses in assessment of pain in patients with hip fracture and dementia in the postoperative setting. Methods: Data were collected through five focus group discussions using open-ended questions and qualitative content analysis. Twenty-one intensive care nurses (6 men and 15 women) participated in the focus group interviews. Results: Analysis of the data resulted in three main categories: “Communication”, “Visual assessment of pain”, and “Practical issues” including a number of subcategories. Some of the factors which influence assessment of pain in patients with dementia are the lack of information and knowledge about the patients, which causes loss of time and increased stress. The different forms of communication and ways of assessing pain in these patients were other factors mentioned by nurses as hindrances regarding assessment of the pain. Conclusion: In order to improve assessment of pain, more knowledge and information about the patients are needed and better coordination between the pre- and postoperative departments regarding these patients. In this context, different intervention studies on patient’s hip fracture and dementia are needed to increase knowledge and awareness regarding this group of patients.

The paper presents the possibility of using criterion programming and neuro-fuzzy modeling in determining the value of planning technical power losses. Proposed is an optimal control in normal mode power grids which considers the value of planned technical power losses. Improved method for determining normative values of technical energy losses using the criteria programming and neuro-fuzzy modeling is presented.

The cultural heritage image classification represents one of the most important tasks in the process of digitalization. In this paper, a deep learning neural network was applied in order to classify images of architectural heritage belonging to ten categories, in particular: (i) bell tower, (ii) stained glass, (iii) vault, (iv) column, (v) outer dome, (vi) altar, (vii) apse, (viii) inner dome, (ix) flying buttress, and (x) gargoyle. The Convolutional neural network was used for image classification, with the same architecture applied on two sets of the data: the full dataset consisting of 10 categories as well as dataset with 5 different image categories. The results show that both architectures performed well and obtained accuracy of up to 90%.