Abstract One of the most important environmental factors, which affects the environment of a healthy life is diet. About 75% of new diseases that have occurred since 2000 in the population of Bosnia and Herzegovina have come from animals or products of animal origin. So-called zoonoses are diseases that can be transmitted from animals to humans most often through food. In addition to zoonoses, contamination of soil, water, air and plants also affects, to a large extent, directly or indirectly the environment of a healthy life. Soil, air, water and plants can be contaminated with pollutants such as heavy metals in the soil or dangerous substances that produce certain types of mushrooms, all of which are transferred in many ways to food production processes. The research define the characteristics of a healthy living environment complemented with healthy food, then explain and demonstrate, on appropriate examples, what are the hazards or hazardous places in food production and show how to reduce the likelihood of their occurrence using the standard and applicable regulations.

Acacetin, apigenin, chrysin, and pinocembrin are flavonoid aglycones found in foods such as parsley, honey, celery, and chamomile tea. Flavonoids can act as substrates and inhibitors of the CYP3A4 enzyme, a heme containing enzyme responsible for the metabolism of one third of drugs on the market. The aim of this study was to investigate the inhibitory effect of selected flavonoids on the CYP3A4 enzyme, the kinetics of inhibition, the possible covalent binding of the inhibitor to the enzyme, and whether flavonoids can act as pseudo-irreversible inhibitors. For the determination of inhibition kinetics, nifedipine oxidation was used as a marker reaction. A hemochromopyridine test was used to assess the possible covalent binding to the heme, and incubation with dialysis was used in order to assess the reversibility of the inhibition. All the tested flavonoids inhibited the CYP3A4 enzyme activity. Chrysin was the most potent inhibitor: IC50 = 2.5 ± 0.6 µM, Ki = 2.4 ± 1.0 µM, kinact = 0.07 ± 0.01 min−1, kinact/Ki = 0.03 min−1 µM−1. Chrysin caused the highest reduction of heme (94.5 ± 0.5% residual concentration). None of the tested flavonoids showed pseudo-irreversible inhibition. Although the inactivation of the CYP3A4 enzyme is caused by interaction with heme, inhibitor-heme adducts could not be trapped. These results indicate that flavonoids have the potential to inhibit the CYP3A4 enzyme and interact with other drugs and medications. However, possible food–drug interactions have to be assessed clinically.

The volume Remembrance and Forgiveness, edited by Ajlina Karamehić-Muratović and Laura Kromják, brings together a diversity of disciplines, authors, and cultural contexts to discuss the legacies of the post-Holocaust era genocides by focusing on the (de)mobilisation of memory in seeking truth, justice, and forgiveness. The book provides a compendious overview of the social, historical, and political contexts behind the insurgencies and gives a better sense of understanding of (the obstacles to) the healing process and reconciliation in the global frame.

OBJECTIVE   We aimed to confirm whether serum on admission homocysteine level (HCY) and red cell distribution width (RDW) value are independent risk factors for MACE incidence in patients with STEMI myocardial infarction treated by percutaneous coronary intervention (PCI), as well as the possibility of their joint assessment in order to enhance the risk stratification for major adverse cardiac events (MACE). PATIENTS AND METHODS A total of 80 patients with acute myocardial infarction (AMI) were included in the study and tested for blood HCY and RDW values. Patients were followed up for six months after discharge and evaluated for MACE occurrence. RESULTS The RDW value was significantly associated with HCY level (r=0.267, p=0.026). Univariate logistic regression analysis identified both the RDW and HCY as independent predictors of MACE (OR 2.179; CI 95% 1.250 to 3.797; p=0.006 and OR 1.108; CI 95% 1.013 to 1.213; p=0.025, respectively), naming RDW as a stronger predictor of unfavorable prognosis in AMI patients. Addition of HCY to RDW value in receiver operating characteristic (ROC) curve analysis increased the area under the curve (AUC) from 0.705 to 0.730 (p=0.007), while risk prediction model, which also included traditional risk factors, increased AUC up to 0.806, implying this model as good predictor of MACE both in low-risk and high-risk STEMI patients. CONCLUSIONS A high baseline HCY level and RDW value in patients with STEMI undergoing PCI is independently associated with increased risk for MACE outcome. Their joint assessment increases risk prediction ability.

A large number of researchers found their interest in addressing the issue of capacity scaling for wireless ad hoc networks. This paper aims to provide a comprehensive overview of the development of capacity scaling laws in wireless networks, highlighting the problem of scaling as one of the basic challenges in their research. The review began with the definition of the notion of bandwidth of random networks, which were taken as a reference model of consideration when determining more advanced strategies for improving throughput capacity. Based on these strategies, other factors that have an impact on capacity scaling laws have been identified and elaborated. Finally, the capacity of hybrid wireless networks, ie networks in which at least two types of nodes functionally exist (ad hoc nodes/infrastructure nodes / auxiliary nodes), was partially investigated.

Infertility is one of the most significant human health problems of the reproductive years. The causes of infertility are diverse and numerous-including non-genetic and genetic factors. A review of this case confirmed this. A balanced translocation was found in two siblings diagnosed with azoospermia. After being unable to conceive, the older brother and his wife had two in vitro fertilization (IVF) failed. At the same time, his younger brother and his wife had one IVF.  After the cytogenetic analysis was performed in both pairs, it was shown that the cause of their infertility was the same balanced translocation in the brothers. The female showed a regular (46, XX) karyotype, whereas the male was found to carry balanced reciprocal translocation [46, XY, t(8;17)(p23;q11)]. This case support that cytogenetic analysis is still the first and basic diagnostic analysis of patients with azoospermia and other reproductive problems.

The paper shows a comparison of the three different methods to determine stress and strain in a U-shaped pipe compensator which is used to decrease stress in long pipes due to the constrained temperature dilatations. The stress and strain are analyzed analytically first with some parts of the analytical solution obtained numerically, such as integrals with no analytical solution in a closed form, i.e., functional series can be involved as a tool to solve those integrals. The pipe is analyzed as a beam or a planar frame using the Castigliano's method to determine displacements. Since there are curved parts of the U compensator, the curved beam theory is applied. The alternative method to determine the strains and stresses along the pipe is shown using the numerical simulations in SolidWorks. The results are compared with the analytical solution. Finally, the experimental method using a 3D scanner is involved for a comparison to check the applied conditions in the analytical and the simulation model.

Background and Study Aim. Athletic jumps are specific cyclically-acyclic movements that despite the good performance of the techniques require from competitors a high level of motor, specific-motor and functional abilities. The aim of this study was to examine the response effect of vertical and horizontal plyometric training on explosive capacity and kinetic variables in long jump athletes. Material and Methods. The participants of this study were twenty professional jumpers (22.5 ± 4.2 years; 178.4 ± 9.8 cm; 70.3 ± 7.6 kg) who were divided into two groups: experimental (plyometric training) and control (standard training). They participated in the last track and field championship in country, moreover, three of them participated in the last Asian games, and one athlete participated in the world track and field championship. The experiments were conducted on June-July 2019 in twenty professional athletes. All tests were performed after a standard warm up protocol. The place of camera was always determined wisely around the jumping field to attain best photography. Organizing and controlling the imaging and motor analysis processes were done by a biomechanics expert. Results. Post training results in experimental group showed more improvement in 30 m sprint, vertical jump, horizontal velocity at take-off, and long jump completion, comparing the control group. Significant between group differences in all variables were detected post training. No significant post training improvements in flight time and take off duration were reported in control group. Conclusion. Vertical and horizontal plyometric training protocol was shown to be more effective in promoting improvement in explosive capacity than kinetic variables.

In terms of Rhopalocera diversity Kosovo is one of the least studied areas in Europe. During 2018 we visited Kosovo on several occasions and gathered a total of 500 records of 98 species of butterflies or 57% of the 171 species known from the area so far. While our survey was not systematic and most localities were visited only once, the data gathered provide an important addition to the butterfly diversity of Kosovo. During this survey some species of European importance such as Lycaena dispar and Euphydryas aurinia were observed, adding to the knowledge about their distribution in the region. 14 of the recorded species are listed in the Red book of the fauna of Kosovo while six are listed in the European Red list of butterflies.

U ovome radu istražena je važnost vrsta i porodica drveća u starom povijesnom parku Ilidža površine 16,5 ha, smještenom u blizini grada Sarajeva u Bosni i Hercegovini. Izvršeno je mjerenje najvažnijih dendrometrijskih varijabla (prsni promjer, visina i promjer krošnje) te je utvrđena i analizirana raspodjela broja stabala po debljinskim klasama. Važnost vrsta drveća i njihovih porodica iskazana je pomoću indeksa relativne važnosti, koja je određena pomoću relativne brojnosti i relativne dominantnosti. Rezultati istraživanja ukazuju na linearno inverzno proporcionalnu debljinsku raspodjelu kakva je poželjna u povijesnim parkovima, ali s neodgovarajućim udjelom stabala u najnižoj i višim debljinskim klasama. Najznačajnije vrste drveća, prema indeksu relativne važnosti većem od 10 %, su: gorski javor (Acer pseudoplatanus L.), obični jasen (Fraxinus excelsior L.), velelisna lipa (Tilia platyphyllos Scop.) i javor mliječ (Acer platanoides L.). Dobiveni rezultati imaju i praktičnu primjenu, jer mogu nam pomoći u planiranju kratkoročnih mjera njege i razvoju dugoročnih strategija radi održivog ostvarivanja biološke stabilnosti te svih funkcija urbanih zelenih površina (ekoloških, bioloških, estetskih, socijalnih i dr.).

Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Future work will be focused on comparison of a wide range of machine learning algorithms using a large enough dataset to improve the significance of the results.

The transport of the tram system on a high capacity corridor in a narrow urban area with increasing demand has become limiting both in terms of capacity and in terms of quality improvement. In this sense, the tram system in Sarajevo, as the primary system of city passenger transport, for many years, requires improvement in order to meet demand. The lack of clear strategies and plans for improving the primary transport system results in interventions of short-term investments in the maintenance of the infrastructure and suprastructure of the classic tramway of outdated and abandoned technology. In this way, the system is brought into a state of very unreliable and unsafe work. On the other hand, it is obvious that the development of individual motorized traffic has led to the fact that the common route has worsened the quality and safety of driving. The paper presents basic guidelines and aspects for the transformation of the classical tram in Sarajevo to the Light Rail System that can reach the fast city railway with the quantity and quality of the offer.

The traditional approach to the analysis of traffic accidents has mostly involved identifying omissions in vehicles and drivers, which led to the occurrence of a traffic accident. However, more recent EU directives dealing with this area emphasize infrastructure failures that may be the real cause of the accident. This approach refers to preventive action, ie the design of such infrastructure that will, in case of failure of the driver, "forgive" the driver his mistake and prevent the occurrence of a traffic accident or reduce the consequences of a traffic accident. To achieve this, a completely new approach to the problem is needed, ie to build, reconstruct and regenerate the road infrastructure according to its real function from the aspect of traffic safety. The realization of these concepts in our area implies primarily the education of all entities that have contact with road infrastructure (designers, managers, auditors, etc.), with emphasis on the fact that savings on the material are significantly less than the savings achieved by reducing the number of accidents, with injured faces and fatalities.

Internet of Things (IoT) is the inter-networking paradigm based on many processes such as identifying, sensing, networking and computation. An IoT technology stack provides seamless connectivity between various physical and virtual objects. The increasing number of IoT applications leads to the issue of transmitting, storing, and processing a large amount of data. Therefore, it is necessary to enable a system capable to handle the growing traffic requirements with the required level of QoS (Quality of Service). IoT devices become more complex due to the various components such as sensors and network interfaces. The IoT environment is often demanding for mobile power source, QoS, mobility, reliability, security, and other requirements. Therefore, new IoT technologies are required to overcome some of these issues. In recent years new wireless communication technologies are being developed to support the development of new IoT applications. This paper provides an overview of some of the most widely used wireless communication technologies used for IoT applications.

The selection of sustainable suppliers (SSS) is the first step in applying a sustainable supply chain and sustainable production. Therefore, it is necessary to select the supplier that best meets the set sustainability criteria. However, the selection of suppliers cannot be done by applying symmetric information, because the company does not have complete information, so asymmetric information should be used when selecting suppliers. Since the SSS applies three main sustainability criteria, environmental, social, and economic criteria, this decision-making problem is solved by applying multi-criteria decision-making (MCDM). In order to solve the SSS for the needs of agricultural production, interval fuzzy logic was applied in this research, and six suppliers with whom agricultural pharmacies in Semberija work were taken into consideration. The application of interval fuzzy logic was performed using the methods PIPRECIA (Pivot pairwise relative criteria importance assessment) and MABAC (Multi-Attributive Border Approximation Area Comparison). Using the PIPRECIA method, the weights of criteria and sub-criteria were determined. Results of this method showed that the most significant are economic criteria, followed by the social criteria. The ecological criteria are the least important. The supplier ranking was performed using the MABAC method. The results showed that supplier A4 best meets the sustainability criteria, while supplier A6 is the worst. These results were confirmed using other MCDM methods, followed by the sensitivity analysis. According to the attained results, agricultural producers from Semberija should buy the most products from suppliers A4, in order to better apply sustainability in production. This paper showed how to decision make when there is asymmetric information about suppliers.