Animals have always been a source of food, materials, protection and wellbeing for humans; however, animal diseases, including zoonoses, have both direct and indirect negative effects on human health, economy and the society. Since its establishment, the veterinary profession has provided crucial input in eradicating disease, increasing animal production and reducing losses due to diseases. Currently, foodborne diseases and zoonoses have raised awareness in developed countries, which have excellent systems for disease surveillance and reporting both in humans and animal populations. Due to lack of modern, integrated surveillance and reporting, the burden of zoonoses and foodborne diseases in developing European countries is much harder to assess. Differences in countries’ animal health status (demonstrated through disease surveillance) have been a main pivot point for international trade of animals and animal products. However, rapid and dramatic evolvement of the health trends in the world changed the principles of animal disease surveillance. Approaches requiring lower cost (i.e. risk-based surveillance) are now proposed, not only due to less available public funding, but also because the costs are harder to justify to policy makers if a disease is exotic and/or rare. Therefore, the veterinary profession has faced insufficient interest of governments and funds for further research into many persistent endemic animal diseases and zoonoses. On the other hand, eradication of selected diseases in some areas while elsewhere they still persist, and the continuous emergence of new diseases, cannot guarantee permanent epidemiological stability. As food safety and security become more important, global trends and events have highlighted the biological, health and economic inseparability of the relationships between humans, animals as pets and/or food sources and wildlife within the social and ecological framework of living space that these species share. Veterinarians are called on and expected to offer strategic and operational solutions for better integration of public health systems (i.e. One Health), animal health, food safety and environmental protection. At the same time, the profession faces challenges in the organisation and implementation of surveillance and disease mitigation measures.

The main objective of this paper, based upon the extensive empirical research of free flow in local conditions, is to quantify the unfavourable impact of the flow structure on the road capacity using PCE (Passenger Car Equivalent) values as a function of longitudinal grade. Based on literature reviews and empirical research, it has been proved that the PCE value for all vehicle classes is directly correlated with the road gradient. The PCE values in free flow conditions have been determined for the approved vehicle classes. Based on the measured values, models for determining the average PCE value depending on the upward grade on two-lane roads have been developed. Comparison of the developed models in conditions of free traffic flow with the Highway Capacity Manual (HCM) models has shown lower PCE values in this research. Models for the percentage of PCE values PCE15%, PCE50% and PCE85% have also been established.

In this paper, we report on the first data connected to the phenotype diversity of the Roma population from north/eastern Bosnia and its genetic relations with neighboring non-Roma populations. Genetic structure of the Roma and non-Roma population was analyzed considering on four the static-morphological and three the dynamic-morphological properties. A total of 847 samples have been collected from unrelated individuals in the area of the north/eastern Bosnia. The investigated parameters of genetic heterogeneity were estimated by: the recessive phenotypes frequency observed property, chi-squared test, exact-test, pairwise FST and genetic distance analysis. Estimation of genetic variability of the analyzed populations showed significant genetic differentiation between of the Roma and non-Roma population. The basic factors of the found significant genetic differentiation between the Roma and non-Roma population are a result of a high level of endogamy, the reproductive isolation of the Roma population and limited maternal gene flow with neighboring populations.

Introduction: Diabetes is reaching epidemiological scales worldwide. Beside health implications diabetes bears significant financial impact on health systems. Different treatment options aiming to prevent diabetes complications are available. Dipeptidyl-peptidase-IV (DPP-4) inhibitors like linagliptin are usually add-on therapy to metformin in order to achieve glycemic control. Expenditure for oral antidiabetic medicines in Bosnia and Herzegovina (B&H) is low accounting for only 2.53% of the total drug market expenditure. Linagliptin is not reimbursed in B&H mainly due to it’s perception of high cost medication. Aim: To assess budget impact (BI) of introducing linagliptin into health insurance reimbursement list in B&H through development of the budget impact model (BIM). Material and methods: Budget impact model was developed using Microsoft Excel 2010 based on current legislation and practice in B&H. Local epidemiology data and data on drug consumption from government reports in 2014 were used. Two scenarios with three-year time horizon have been developed: 1) without and 2) with linagliptin reimbursed and compared. Results: Inclusion of linagliptin into reimbursement list in Canton Sarajevo and Canton Tuzla would have positive budget impact on national level of B&H resulting in total savings of 18,194€, 235,570€ and 699,472€, in 2016, 2017 and 2018, respectively. Conclusion: Introduction of linagliptin into reimbursement list would decrease total costs for DPP-4 inhibitors and is favorable for positive decision on reimbursement in B&H. Applying BIM in decision making would assure better allocation and planning of resources at any region or administrative level in B&H.

Driven by the fast growth of wireless communication, the trend of sharing spectrum among heterogeneous technologies becomes increasingly dominant. Identifying concurrent technologies is an important step towards efficient spectrum sharing. However, due to the complexity of recognition algorithms and the strict condition of sampling speed, communication systems capable of recognizing signals other than their own type are extremely rare. This work proves that multi-model distribution of the received signal strength indicator (RSSI) is related to the signals’ modulation schemes and medium access mechanisms, and RSSI from different technologies may exhibit highly distinctive features. A distinction is made between technologies with a streaming or a non-streaming property, and appropriate feature spaces can be established either by deriving parameters such as packet duration from RSSI or directly using RSSI’s probability distribution. An experimental study shows that even RSSI acquired at a sub-Nyquist sampling rate is able to provide sufficient features to differentiate technologies such as Wi-Fi, Long Term Evolution (LTE), Digital Video Broadcasting-Terrestrial (DVB-T) and Bluetooth. The usage of the RSSI distribution-based feature space is illustrated via a sample algorithm. Experimental evaluation indicates that more than 92% accuracy is achieved with the appropriate configuration. As the analysis of RSSI distribution is straightforward and less demanding in terms of system requirements, we believe it is highly valuable for recognition of wideband technologies on constrained devices in the context of dynamic spectrum access.