This paper aims to experimentally and numerically determine the longitudinal modulus of elasticity by the four-point bending method. Samples of wooden beams over which the experimental research was performed were made of silver fir (Abies alba) as prescribed by standard EN 408. The experimental part includes determining bending strength and deformation forces. Experimentally determined bending strength and deflection forces were the input data for evaluating the modulus of elasticity of wooden beams. A numerical analysis of the bending strength by the finite element method was carried out using the ANSYS software package. The numerical model agreed well with the experiments in terms of bending. A numerical model can predict the bending of beams of different sizes. Results showed that the experimental and numerical values are close and usable for further exploitation. Comparison between the experimental and computational force versus the displacement response showed a very good correlation in the results for the fir wood specimens under four-point bending tests.

The subject of the research is the analysis of the change in land cover in the area of Babin do on Bjelašnica mountain in Bosnia and Herzegovina. In the period after 1995, throughout the entire Bosnia and Herzegovina, visible spontaneous spatial planning contributed to significant changes in the land cover. The research aims to determine changes in coverage and land use that happened in the last few decades in the researched area. The analysis of land cover changes in the research area was performed for the period from 2000 to 2018. Due to the lack of data resulting from insufficient spatial resolution of CLC, vectorization of spatial infrastructure elements from available remote sensing images was additionally carried out. This procedure implied a detailed land cover change analysis visible from the topographic map at a scale of 1:25:000 and relevant Google Earth images. Research on the topic was conducted through several phases. The first part of the paper refers to determining the geographical location of the research area and defining all its components. The second part of the paper deals with a detailed analysis of all categories of land cover in the last twenty years. The third part of the paper involves a comparative analysis of quantitative and qualitative indicators of land cover in the research area. The complete procedure of the analysis was performed using GIS, where the corresponding databases were created and a cartographic visualization for the investigated area was performed. The results of the conducted research point to the conclusion that significant changes in land cover have occurred in the Babin do in the analyzed period, which is particularly pronounced in sports and recreation areas, as a result of the development of the tourism industry. In the last part of the paper, conclusions are given regarding the changes and causes of changes of the land coverage in the analyzed area, with recommendations for further activities.

Trends showing increase in the number of mobile device users, as well as the number of tourists, imply that more people rely on their smartphones when navigating in a new environment. Based on these facts, the idea for this experimental research appeared. That idea is applying the process of machine learning, more precisely, the implementation of a neural network, to investigate the possibility of improving the accuracy of smartphone navigation. The achieved results indicate that machine learning algorithms (neural networks) are a powerful tool that can also be applied to GNSS data collected by a smartphone device, in order to improve accuracy. Based on the collected data in the field, preprocessing and machine learning process, it is concluded that it is possible to improve the accuracy of mobile device navigation by up to 50%.

Introduction: Diabetes mellitus type 2 (T2DM) significantly increase the risk of cardiovascular (CV) disease morbidity and mortality. This study aimed to evaluate the potential of some novel anthropometric indices and adipocytokines to evaluate CV risk among T2DM patients. Methods: A total of 112 patients (men, 57; women, 55) with T2DM visiting Family Medicine and Endocrine counseling in the area of Health centers of Sarajevo Canton were included in this study. The sera samples were analyzed for fasting blood glucose (FBG), HbA1c, lipid profile parameters, adiponectin, and resistin levels. The Adiponectin/Resistin Index (A/R Index) was estimated using the formula. The novel anthropometric measurements, including the Conicity index (CI), Lipid Accumulation Product (LAP), visceral adiposity index (VAI), abdominal volume index (AVI), and Body adiposity index (BAI) were estimated. The 10-year risk for coronary heart disease (CHD) and fatal coronary heart disease (fCHD) is calculated by using UKPDS Risk software. Results: The adiponectin was shown as a statistically significant negative association with CHD in female subjects, and the A/R index as a statistically significant association with CHD and fCHD in male subjects. The AVI is superior to the CI, LAP, VAI, and BAI in assessing cardiometabolic risk in T2DM patients. Conclusions: Our study indicated that measuring adiponectin and A/R index, together with measuring AVI as a measure of general volume, can be used as surrogates in the evaluation of high cardiovascular risk among T2DM patients.

This article is dedicated to Eduardo D. Sontag on the occasion of his 70th birthday. We build upon fundamental stability concepts developed by Sontag, such as input-to-state stability and its related properties, to study a relevant application in industrial internet of things, namely estimation for wireless networked control systems. Particularly, we study emulation-based state estimation for nonlinear plants that communicate with a remote observer over a shared wireless network subject to packet losses. To reduce bandwidth usage, a stochastic communication protocol is employed to determine which node should be given access to the network. Each node has a different successful transmission probability. We describe the overall closed-loop system as a stochastic hybrid model, which allows us to capture the behaviour both between and at transmission instants, whilst covering network features such as random transmission instants, packet losses and stochastic scheduling. We then provide sufficient conditions on the transmission rate that guarantee an input-to-state stability property (in expectation) for the corresponding estimation error system. We illustrate our results in the design of circle criterion observers.

This paper analyses the statistical parameters that give a comprehensive overview of the socio-demographic state of the border areas of Bosnia and Herzegovina, and it represents a novel attempt to examine the disparity and relationships between central and peripheral parts of national territory. The methodology is based on examining the differences between border and non-border municipalities/cities according to four groups of indicators, to obtain four indices: depopulation, natural change, ageing and education. Statistically significant differences were found primarily in the context of population age structure, and it can be concluded that the ageing process has affected bordering regions more than the rest of the country.

Introduction: Diabetes mellitus type 2 (T2DM) significantly increase the risk of cardiovascular (CV) disease morbidity and mortality. This study aimed to evaluate the potential of some novel anthropometric indices and adipocytokines to evaluate CV risk among T2DM patients. Methods: A total of 112 patients (men, 57; women, 55) with T2DM visiting Family Medicine and Endocrine counseling in the area of Health centers of Sarajevo Canton were included in this study. The sera samples were analyzed for fasting blood glucose (FBG), HbA1c, lipid profile parameters, adiponectin, and resistin levels. The Adiponectin/Resistin Index (A/R Index) was estimated using the formula. The novel anthropometric measurements, including the Conicity index (CI), Lipid Accumulation Product (LAP), visceral adiposity index (VAI), abdominal volume index (AVI), and Body adiposity index (BAI) were estimated. The 10-year risk for coronary heart disease (CHD) and fatal coronary heart disease (fCHD) is calculated by using UKPDS Risk software. Results: The adiponectin was shown as a statistically significant negative association with CHD in female subjects, and the A/R index as a statistically significant association with CHD and fCHD in male subjects. The AVI is superior to the CI, LAP, VAI, and BAI in assessing cardiometabolic risk in T2DM patients. Conclusions: Our study indicated that measuring adiponectin and A/R index, together with measuring AVI as a measure of general volume, can be used as surrogates in the evaluation of high cardiovascular risk among T2DM patients.

Background and Objectives: Patient satisfaction with health care can influence health care-seeking behavior in relation to both minor or major health problems or influence communication and compliance with medical advice, which is especially important in emergencies such as the COVID-19 pandemic. Thus, it is important to continually monitor patient satisfaction with provided care and their dynamics. The aim of this study was to assess patient satisfaction with health care during the COVID-19 pandemic in the adult population of the Federation of Bosnia and Herzegovina (FB&H) and compare it with levels of satisfaction in the same population before the COVID-19 pandemic. Materials and Methods: A representative, population-based survey was implemented in the adult population of the FB&H using the EUROPEP instrument, which measures satisfaction with health care using 23 items. The sample included 740 respondents who were 18 years or older residing in the FB&H and was implemented in December 2020. All data were collected using a system of online panels. The survey questions targeted the nine months from the beginning of the pandemic to the time of data collection, i.e., the period of March to December 2020. Results: The mean composite satisfaction score across all 23 items of the EUROPEP tool was 3.2 points in all age groups; the ceiling effect was 22% for the youngest respondents (18–34 years old), 23% for 35–54 years old, and 26% for the oldest group (55+), showing increasing satisfaction by age. The overall composite score for both females and males was 3.2. The ceiling effect was higher in those with chronic disease (29% vs. 23% in those without chronic disease). The composite mean score for respondents residing in rural vs. urban areas was 3.2 with a ceiling effect of 22% in rural and 24% in urban residents. When comparing mean composite scores surveyed at various points in time in the FB&H, it was found that the score increased from 3.3 to 3.5 between 2011 and 2017 and dropped again to 3.3 in this study. Despite these observations in the overall trends of satisfaction scores, we note that no statistically significant differences were observed between most of the single-item scores in the stratified analysis, pointing to the relative uniformity of satisfaction among the analyzed population subgroups. Conclusions: The rate of satisfaction with health care services in the FB&H was lower during the COVID-19 pandemic compared to 2011 and 2017. Furthermore, while an increasing trend in satisfaction with health care was observed in the FB&H during the years prior to 2020, the COVID-19 pandemic may have contributed to the reversal of this trend. It is important to further monitor the dynamics of patient satisfaction with health care, which could serve as a basis for planning, delivering, and maintaining quality services during the COVID-19 pandemic and other emergencies.

<p>Laut &nbsp;Wortschatzforschern &nbsp;ist &nbsp;es &nbsp;noch &nbsp;nie &nbsp;vorgekommen, &nbsp;dass &nbsp;in &nbsp;so &nbsp;einer &nbsp;kurzen &nbsp;Zeit &nbsp;so ungew&ouml;hnlich &nbsp;viele &nbsp;W&ouml;rter &nbsp;zu &nbsp;einem &nbsp;Thema &nbsp;den &nbsp;Wortschatz &nbsp;so &nbsp;stark &nbsp;pr&auml;gen, &nbsp;wie &nbsp;die &nbsp;zum &nbsp;Thema &nbsp;der Coronapandemie. &nbsp;Besonders &nbsp;auff&auml;llig &nbsp;sind &nbsp;die &nbsp;Anglizismen &nbsp;in &nbsp;der &nbsp;Berichterstattung &nbsp;zur &nbsp;Covid-19-Pandemie. Der Beitrag besch&auml;ftigt sich mit den Unterschieden hinsichtlich der Frequenz und Verbreitung der &nbsp;Anglizismen &nbsp;im &nbsp;Deutschen &nbsp;und &nbsp;Bosnischen.Unter &nbsp;Beobachtung &nbsp;stehen &nbsp;viele &nbsp;Anglizismen, &nbsp;wie &nbsp;z. &nbsp;B. Lockdown, Cluster, Homeschooling, Zoomparty, Social Distancing. Im Bosnischen findet man z.B. neben dem Fremdwort Lockdown noch zatvaranje und zaključavanje. Dabei verwendet man nicht das schon bestehende Wort im Bosnischen karantena f&uuml;r die entsprechende Ma&szlig;nahme der strikten Isolierung. &Uuml;ber solche &nbsp;und &nbsp;&auml;hnliche &nbsp;Erscheinungen &nbsp;im &nbsp;Wortschatz &nbsp;der &nbsp;beiden &nbsp;Sprachen &nbsp;wird &nbsp;hier &nbsp;eigene &nbsp;Recherche durgef&uuml;hrt. Als Korpus dienen Belege aus den Zeitungsartikeln in den Medienquellen,haupts&auml;chlich &bdquo;Die Zeit&ldquo; und &bdquo;Oslobođenje&ldquo;, wie auch aus einigen im Netz vorhandenen Wortsammlungen.</p>

Over 700 bike-sharing systems are currently in operation worldwide, and the number of systems has grown quickly in recent years. Rwanda's bike-sharing system has only recently begun operations and has encountered numerous challenges. The current study used an Ordinal Priority Approach (OPA) to examine these challenges and provide an acceptable strategy for overcoming them. Five strategies have been established. These strategies are prioritized using four criteria. The results indicate that “theft” and “damage of some bikes when being returned” are the most critical challenges while the first alternative “improving the current bike infrastructure to better serve the bike share system” is the appropriate strategy to overcome these challenges for a successful operation of the bike share system. Taking into account the findings, recommendations were provided to help local administrative bodies handle these challenges.

Steel X8CrNiS18-9 (standard EN 10088-3: 2005) is the most commonly used from the group of austenitic stainless steel in terms of machinability. The content of sulphur present in the steel from 0,15 to 0,35% has the exclusive task to improve the machinability. However, while sulphur improves machinability it simultaneously reduces the resistance of steel to corrosion but also affects the decrease in mechanical properties particularly steel toughness. Due to its harmful effect on the steel, as well as the fact that the non-metallic inclusions are insufficiently tested for this type of high-alloy steel the aim of this study is to determine the appropriate microalloying possibility to modify the non-metallic inclusions. The aim of this work is that explore the influence of boron, zirconium, and tellurium on the impact toughness of the mentioned steel. Change of impact toughness, depending on the chemical composition of the steel is simulated with the Matlab program.