The natural plant Cornus mas, sometimes called Cornelian cherry, has been known since ancient times and the fruit is used for various purposes. Cornus mas gives healthy fruits without the use of chemical protection, which are used as healthy, tasty and medicinal food. Cornus mas fruits can be used for eating fresh or in the form of numerous processed products: marmalade, jam, sweet, compote, syrup, juice, fruit yogurt, liqueur, wine and brandy. Due to its antioxidant, antiallergic, antimicrobial and antihistamine properties, it is increasingly used as a dietary supplement, as well as for medical purposes. Taking into account all the above, the aim of this paper is to examine samples of a mixture of honey and fresh wild Cornelian cherry, as well as a sample of honey and Cornelian cherry and determine the physical - chemical parameters: electrical conductivity, pH value, vitamin C content, HMF (hydroxy methyl furfural), as well as individual heavy metals such as iron, cadmium, lead, zinc, copper. Based on the obtained results, appropriate conclusions will be given and the possibility of registering these products as food supplements will be determined.  Based on the performed analyzes, it was shown that the sample of honey and Cornelian cherry mixture had the highest pH value and electrical conductivity, and that the honey sample had the lowest value. Also, the highest value of water activity had the sample of a mixture of honey and Cornelian cherry, while the highest content of hydroxymethylfurfural had the content of Cornelian cherry. The analysis showed the absence of manganese (Mn), cadmium (Cd) and lead (Pb) in all samples, while it was shown that the highest content of Cu and Zn has the sample of Cornelian cherry 2.665 mg/kg Cu ​​and 14.41 mg/kg Zn, followed by a mixture of Cornelian cherry and honey Cu 2.778 mg/kg, Zn 14.670 mg/kg, while the honey sample has the highest Fe content of 16.72 mg/kg. This shows that the samples are rich in zinc, iron and copper, and that they are a good source for those minerals that could meet daily needs.

Chemical precipitation is a useful conventional process to remove heavy metals from aqueous solutions. In this work, a waste sludge from the Solway process was used as a precipitation agent for the precipitation of Cu (II), Ni (II), Pb (II) and Zn (II) ions with an initial concentration of 50 mg/L. The results of the research showed that the waste sludge from the Solway process completely removed Pb (II) ions from the solution in the pH range of 8.39 -11.74, also good efficiency was shown in other cations. The maximum precipitation efficiency for Cu (II) is 99.890% at pH 10.98, Ni (II) 99.940% at pH 11.81, Zn (II) 99.616% at 10.1. Waste sludge is proved to be a good precipitate for cation separation.

In addition to soda, the Solway production process yields large amounts of waste sludge that contains a high percentage of CaCO3 and Ca(OH)2. In this paper, solid waste sludge from a soda factory in Bosnia and Herzegovina of a certain granulation was used to remove metal ions from the binary system initial concentrations of 500 mg/L. The research results showed that the precipitation efficiency for the binary system Cu - Ni was 99.810% at a pH of 11.42 for Cu2+ and 99.896% for Ni2+ at a pH of 10.86, while for the binary system Pb - Zn it was 99.84% at the same pH value of 10.64. This research has shown that it is very difficult to separate and remove metal precipitation from binary systems because the optimal pH for one metal does not correspond to another metal.

The purpose of this study was to establish the validity, reliability, and usefulness of a low-cost contact mat equipment (CM) with a force plate (FP) as the reference. Eleven female (18.6 ± 3.67 yrs.) and male (18.2 ± 2.71 yrs.) basketball athletes performed hands-on-waist countermovement jump (CMJ) and squat jump (SJ) trials. Flight time (FT) and jump height (JH) in CMJ and SJ were subjected for analysis. Relative error expressed as percentage (%RE) was utilized to examine criterion validity between CM and FP. Concurrent validity was also established using Pearson moment correlation (r). Absolute reliability was determined using coefficient of variation (%CV). Relative reliability was identified using intra-class correlation coefficient (ICC). Usefulness was established by comparing typical error (TE) vs. smallest worthwhile change (SWC). Results revealed that CMJ and SJ from a low-cost CM can be used as an alternative tool in assessment of jump performance.

Background: In the present study, the main goal was to establish whether the disciplines are equal and should the Code of Points (COP) women's artistic gymnastics be revised in terms of point standardization on apparatus. Material and methods: The sample included all-around senior female gymnasts who participated in the qualification (C-I) competitions at World Championships held in 2009-2019. Results: The biggest differences are even two points between the two apparatus vault and balance beam. Vault compared to other apparatus is different for 1.559 points. Presentation of correlations between each apparatus the evidence that nothing has changed significantly in recent years, whereas correlations of the difficulty values of elements are extremely high between the present COP. Conclusions: With this analysis, we have found that the results achieved at the vault and other apparatus were significantly different in terms of success in all-around competition.

Objective COVID-19 pandemic led to major life changes. We assessed the psychological impact of COVID-19 on dental academics globally and on changes in their behaviors. Methods We invited dental academics to complete a cross-sectional, online survey from March to May 2020. The survey was based on the Theory of Planned Behavior (TPB). The survey collected data on participants’ stress levels (using the Impact of Event Scale), attitude (fears, and worries because of COVID-19 extracted by Principal Component Analysis (PCA), perceived control (resulting from training on public health emergencies), norms (country-level COVID-19 fatality rate), and personal and professional backgrounds. We used multilevel regression models to assess the association between the study outcome variables (frequent handwashing and avoidance of crowded places) and explanatory variables (stress, attitude, perceived control and norms). Results 1862 academics from 28 countries participated in the survey (response rate = 11.3%). Of those, 53.4% were female, 32.9% were <46 years old and 9.9% had severe stress. PCA extracted three main factors: fear of infection, worries because of professional responsibilities, and worries because of restricted mobility. These factors had significant dose-dependent association with stress and were significantly associated with more frequent handwashing by dental academics (B = 0.56, 0.33, and 0.34) and avoiding crowded places (B = 0.55, 0.30, and 0.28). Low country fatality rates were significantly associated with more handwashing (B = -2.82) and avoiding crowded places (B = -6.61). Training on public health emergencies was not significantly associated with behavior change (B = -0.01 and -0.11). Conclusions COVID-19 had a considerable psychological impact on dental academics. There was a direct, dose-dependent association between change in behaviors and worries but no association between these changes and training on public health emergencies. More change in behaviors was associated with lower country COVID-19 fatality rates. Fears and stresses were associated with greater adoption of preventive measures against the pandemic.

The concept of Massive Open Online Course (MOOC) brings the opportunity to adjust both the study content, and the context, based on the teaching needs. Therefore, in this paper, we present our best practices on enabling remote networking laboratories via Blackboard platform, including the Blackboard Collaborate Ultra extension, in order to efficiently react to the challenges of imminent campus closure imposed by COVID-19 breakout. We present an extensive survey as a feedback from students, which allowed us to measure and to quantify students’ experience and satisfaction with the remote teaching setup that successfully served 45 enrolled students. As the results bring the positive attitude towards practices presented in this paper, such teaching practices will foster some of the critical skills nowadays, such as collaboration, self-driven learning, and problem solving, and they can also serve as a successful example on how to efficiently cope with the limited access to traditional classroom resources within various courses.

OBJECTIVE The goal of our study was to discover and analyze possible risk factors for and possible protective factors against the occurrence of potential drug-drug interactions (pDDIs) in a hospitalized patient with community-acquired pneumonia. MATERIALS AND METHODS The central outcome was the incidence of pDDIs in patients with community-acquired pneumonia checked by Lexicomp and Micromedex interaction checkers. RESULTS The most severe pDDIs (Consider therapy modification D/Avoid combination X/Major/Contraindicated) were found in 19 (20%) and 54 (58%) patients, according to Lexicomp and Micromedex, respectively. Patients with community-acquired pneumonia who were older, smokers, and with more prescribed drugs by more than a few independent prescribers had a higher risk to experience pDDIs. Possible protective factors were longer length of hospitalization, transfer from the Emergency Department, antiarrhythmic drugs as well as an anticoagulant therapy. CONCLUSION In conclusion, community-acquired pneumonia patients with the above-mentioned factors should have their treatment more deeply monitored for pDDIs.

In this paper we discuss several elements of importance for securing QoS in multimedia networks. Firstly, we present the first factor, which refers to understanding the characteristics of multimedia traffic in order to define and implement the QoS requirements. Secondly, factor refers to translation between QoS parameters that implies the distribution of system and network resources, and thirdly the factor establishes the appropriate QoS architecture that can provide the required QoS guarantees for multimedia applications. We have been analyzing security-critical applications such as remote operation, which may require a guaranteed level of availability (hard QoS). There are basically two ways to secure a guaranteed QoS. The first is simply to provide a lot of resources, enough to meet the expected peak (peak) requirements with a significant security margin. This approach generously oversupplies the (over provisioning) network. We gave a detailed security analysis as features of WiMAX. More precisely, our analysis is based on the claim that its key feature of the WiMAX network is that the security layer is built into the protocol leg instead of being added later, i.e. the security layer is complex between PHY and MAC layers.

Eco-friendly and rapid microwave processing of a precipitate was used to produce Fe-doped zinc oxide (Zn1-xFexO, x = 0, 0.05, 0.1, 0.15 and 0.20; ZnO:Fe) nanoparticles, which were tested as catalysts toward the oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) in a moderately alkaline solution. The phase composition, crystal structure, morphology, textural properties, surface chemistry, optical properties and band structure were examined to comprehend the influence of Zn2+ partial substitution with Fe3+ on the catalytic activity of ZnO:Fe. Linear sweep voltammetry showed an improved catalytic activity of ZnO:5Fe toward the ORR, compared to pure ZnO, while with increased amounts of the Fe-dopant the activity decreased. The improvement was suggested by a more positive onset potential (0.394 V vs. RHE), current density (0.231 mA cm-2 at 0.150 V vs. RHE), and faster kinetics (Tafel slope, b = 248 mV dec-1), and it may be due to the synergistic effect of (1) a sufficient amount of surface oxygen vacancies, and (2) a certain amount of plate-like particles composed of crystallites with well developed (0001) and (0001[combining macron]) facets. Quite the contrary, the OER study showed that the introduction of Fe3+ ions into the ZnO crystal structure resulted in enhanced catalytic activity of all ZnO:Fe samples, compared to pure ZnO, probably due to the modified binding energy and an optimized band structure. With the maximal current density of 1.066 mA cm-2 at 2.216 V vs. RHE, an onset potential of 1.856 V vs. RHE, and the smallest potential difference between the OER and ORR (ΔE = 1.58 V), ZnO:10Fe may be considered a promising bifunctional catalyst toward the OER/ORR in moderately alkaline solution. This study demonstrates that the electrocatalytic activity of ZnO:Fe strongly depends on the defect chemistry and consequently the band structure. Along with providing fundamental insight into the electrocatalytic activity of ZnO:Fe, the study also indicates an optimal stoichiometry for enhanced bifunctional activity toward the OER/ORR, compared to pure ZnO.

The smart home concept is rapidly becoming a key component in the emerging Internet-of-Things (IoT) society. Home automation systems help customers by improving energy-efficiency, allowing for security monitoring and convenience with simplified control over smart IoT devices. However, it has been determined that the older population has difficulties interacting with complex technical devices. Possible solution to this problem would be involving Interactive Voice Response (IVR) machine, which would enable intelligent smart home control based on the information it gathers from voice-based commands. We explore the concept of a smart home with the integration of voice over IP (VOIP) and IVR technologies, along with smart IoT devices and cloud-based services. The presented smart home concept uses voice-assistance which allows for fluent and intuitive interaction. We have modified existing solutions applied for the English language and accommodated them to work for south Slavic languages. The design and implementation of the prototype for the simple IVR-based smart-home system are explained.

Each company aims to remain competitive in the market and provides the services that their clients seek, all in accordance with the cost-effectiveness and fulfillment of customer expectations. In order to do the same, companies are looking for the best practices that help in organizing their work and delivery of their services, as well as maintaining and determining the competitive advantage. In this paper an example of such practice is explained in the ITIL framework. The purpose of the SWOT analysis is to identify strategies that match the resources and capabilities of the company with the needs of the environment in which it competes. The purpose of this analysis is to use the company advantages, to explore its capabilities, to correct weaknesses, and to counteract the threats of the environment. The aim of the paper is to demonstrate the benefits of SWOT analysis with companies with the implemented ITIL framework, which is mainly reflected in simplicity, flexibility, low cost, but with tremendous efficiency, good estimates, and finding negativity and positivism in business.

This paper provides an overview of several standards and gives an example of their implementation in custom visualizations such as dynamic data-driven maps. A specially developed tool MapSpice for data visualization will be presented in this paper. This tool is developed and designed to fulfill accessibility standards and requirements of the web publishing industry. There are descriptions and examples of important features and functionalities in map visualizations that are developed using accessibility best practices. Following these guidelines and recommendations map content is accessible to a larger range of people with different disabilities, including blindness and low vision, photo-sensitivity, speech disabilities, deafness and hearing loss, limited movement, learning disabilities, cognitive limitations, and others.The result of this paper will be an overview of accessibility standards and guidelines and their implementation in custom data-driven maps developed by MapSpice.

Many public figures, companies and associations are planning events in different cities and at the same time have active profiles on social media. The planning process requires processing a large amount of data and different parameters when choosing the best event venue. Social media captures a large number of fan actions per day. This paper describes the process of selecting the most appropriate cities to organize events, aided by data collected from social media. The problem is defined as a combinatorial optimization problem. A modified metaheuristic Bat algorithm was proposed, implemented, and described in detail to solve the problem. Although the original Bat algorithm is designed to solve continuous optimization problems, the implemented bat algorithm is adapted to solve the defined problem. The algorithm is compared to the exhaustive search method for smaller instances, and to the greedy and genetic algorithm for larger instances. The algorithm was tested on benchmark data on cities in 20 European countries, as well as on real data collected from pages on the social network Facebook. Bat algorithm has shown superior results compared to other techniques, both in time and in the quality of the solutions generated.