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Marijana Cosovic, Radmila Janković

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%.

Ljiljana Golubović, Mediha Selimović-Dragaš, S. Kobašlija, A. Huseinbegović

Summary Background/Aim: Dental caries is the most common chronic disease affecting children worldwide today and represents a serious public health problem. Since pediatricians are the first health professionals whom children visit, they can be considered as a reliable source of information regarding the recognition of potential health problems and suggesting their solution, so they have a key role in primary health prevention. The aim of this study is to determine the position of pediatricians in the prevention of oral health of children in Montenegro through the assessment of their knowledge, attitude, and practice of primary professional preventive measures. Material and Methods: A cross-sectional survey was undertaken among the 84 pediatricians employed in Montenegro Community health services. Self-addressed reply envelope survey consisted questionnaire of 60 questions divided into 5 modules, was used as an instrument for the research. Results: Response rate was 86%, while 68,3% pediatricians think that gender is a risk factor for dental caries. Fact that cavity-causing bacteria can be transmitted from the mother was confirmed by 69% of respondents. Only 45% of them practice the current guidelines on the recommendation of the first dental examination up to 12 months of life. Conclusions: It can be concluded that pediatricians in Montenegro have positive attitudes about prevention and believe they have the responsibility to prevent caries but have shown insufficient knowledge about caries and risk factors for the oral diseases.

Sofia Ygberg, Å. Fowler, G. Bogdanovic, Ronny Wickström

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.

E. Šabanović, M. Memić, J. Sulejmanović, Alisa Selović

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.

Oxidative stress (OS) is a cellular phenomenon or condition which occurs as a result of physiological imbalance between the levels of antioxidants and oxidants (free radicals or reactive species) in favour of oxidants. In other words, oxidative/nitrosative stress is the result of disequilibrium in oxidant/antioxidant which reveals from continuous increase of reactive oxygen species (ROS) and reactive nitrogen species (RNS) production

: Medicinal nail lacquers are the most effective topical treatment of nail diseases. These formulations generally are organic solutions of the active substance as well as film-forming polymer and plasticizer, which affects the characteristics of the film formed after application and solvent evaporation. The aim of this work was to test the effects of plasticizer present in nail lacquer formulations on permeation kinetics of fluconazole through the bovine hoof membrane in a novel in vitro test. The formulations contained Eudragit RS100 dis- solved in acetone, and dibutyl-phthalate, PEG 400 or propylene glycol as plasticizers present in two different concentrations. Permeation studies were carried out during the 7-day period, and the obtained permeability pro- files analyzed using similarity and difference factors, and by model-dependent permeation kinetics. When analyzed within the same strength, the highest extent of fluconazole permeation was obtained from the formula- tion with a lower concentration of propylene glycol at 0.9% fluconazole concentration, while for formulations with 1.8% and 2.7% of fluconazole, the highest permeation was achieved from the formulation with the high- er content of PEG400. The permeation profiles showed a greater difference within one formulation of different fluconazole content than with the same plasticizer present in different concentrations, when using dibutyl- phthalate and PEG400. The permeation profiles were similar when using propylene glycol. When comparing formulations with the same concentrations of plasticizers, there were differences in formulations with the high- er fluconazole concentrations. Permeation kinetics depended on fluconazole concentration as well as the path length the active substance had to pass to reach the receptor solution.

C. Phung, Jasenka Dizdarevic, A. Jukan

REST HTTP is the communication protocol of choice for software developers today. In IoT systems with unreliable connectivity, however, a stateless protocol like REST HTTP needs to send a request message multiple times, and it only stops the retransmissions when an acknowledgement arrives at the sender. In our previous work, we studied the usage of random linear network coding (RLNC) for REST HTTP protocol to reducing the amount of unnecessarily retransmissions. In this paper, we experimentally validate the study and analyze REST HTTP with and without RLNC in a simple testbed in dynamic IoT systems. The measurements show notable improvements in bandwidth utilization in terms of reducing the retransmissions and delay when using network-coded REST HTTP.

Stjepan Kvesić, Dalibor Ballian, Mirzeta Memišević Hodžić

Istraživana je morfološka varijabilnost lista 25 populacija klena (Acer campestre L.) na području Bosne i Hercegovine. Morfometrijsko istraživanje unutarpopulacijske i međupopulacijske varijabilnosti provedeno je na temelju 19 morfoloških svojstava lista, pri čemu su korištene deskriptivne i univarijatne statističke analize. Najveću varijabilnost pokazalo je svojstvo dužina peteljke lista, dok je najmanja varijabilnost utvrđena kod izvedenog svojstva odnos maksimalne dužine plojke lista i maksimalne širine plojke lista. Izvedena svojstva lista bila su manje varijabilna od mjernih, što upućuje na manje variranje svojstava oblika u odnosu na svojstva dimenzija lista. Analiza varijance pokazala je statistički značajne razlike između populacija za sva analizirana svojstva lista. Multipla testiranja pokazala su veću međupopulacijsku nego unutarpopulacijsku varijabilnost za sva istraživana svojstva osim dva svojstva geometrijske skale podataka (kutovi žila). Za razliku od mjerenih svojstava lista, sva izvedena svojstva pokazala su veću unutarpopulacijsku nego međupopulacijsku varijabilnost. Najdivergentnija populacija, s jedne strane, bila je populacija Trebinje, s najvećim brojem minimalnih vrijednosti svojstava lista, dok je s druge strane najdivergentnija populacija Banja Luka, s najvećim brojem maksimalnih vrijednosti svojstava lista. Dobiveni rezultati mogu služiti kao temelj za dalja istraživanja u drugim dijelovima areala vrste, u svrhu determiniranja utjecaja interakcije ekoloških, geografskih, klimatskih i migracijskih čimbenika na morfološku varijabilnost populacija klena.

J. Pavlović, M. Kavousi, M. Ikram, M. Leening

In the recent update of the ESC/EAS practice guidelines for the management of dyslipidaemias, indications for statin treatment in primary prevention have been expanded to those at lower cardiovascular disease (CVD) risk and with lower LDL levels, as well as to those 65 to 75 years of age according to their level of predicted CVD risk. To compare the implications of the 2016 and 2019 ESC/EAS guidelines and determine the extent to which these updates affect treatment recommendations at population level. We calculated 10-year CVD risk following the 2016 and 2019 ESC/EAS guideline recommendations and proportions of individuals qualifying for statin treatment categories per guideline. The study population included 7262 participants free of CVD, aged 45 to 75 years, from the Dutch prospective population-based Rotterdam Study. Mean (SD) age was 61.1 (6.9) years and 58.2% were women. Diabetes was present in 8.4% of the participants, 24.7% were smokers, mean LDL was 3.7 (0.9) mmol/L, and mean blood pressure was 137/80 (20/11) mmHg. Next to lifestyle changes, the 2016 and 2019 ESC/EAS guidelines recommend statin treatment in 13.2% (N=961) and 37.7% (N=2738) of the total population and consider statin treatment in 37.0% (N=2689) and 51.4% (N=3733), respectively. When stratified by 5-year age groups, the 2016 and 2019 ESC/EAS guidelines overall suggest a respective 29.7% (N=411) and 60.7% (N=839) of adults aged 45–55 years to be considered for statin treatment. While adults with an estimated 10-year SCORE risk of fatal CVD <1% and LDL <4.9 mmol/L were deemed to be at sufficiently low risk in the 2016 ESC/EAS guidelines and hence were suggested only lifestyle advice to modify their cardiovascular risk, in the 2019 update, 517 individuals (i.e. 37.4% of 1383 adults aged 45–55 years) were considered for statin treatment. The 2016 ESC/EAS guidelines did not provide treatment recommendations for individuals aged >65 years, while the 2019 ESC/EAS guidelines recommend statin treatment in 69.2% (N=1430) and considers treatment in another 27.7% (N=571) among the study population aged 65–75 years (N=2065). Updated treatment recommendations in the 2019 ESC/EAS dyslipidaemia guideline substantially expand statin treatment to asymptomatic individuals aged 45–55 at low risk, and individuals aged 65–75 years. Whether the broadening of statin indications in asymptomatic low-risk individuals and those aged 65–75 years will lead to greater uptake of primary prevention efforts and thereby long-term lowering of the burden of CVD in Europe, remains to be investigated. Type of funding source: None

Jurica Arapović, S. Špičić, Sanja Duvnjak, M. Ostojić, Maja Arapović, J. Nikolić, Ž. Cvetnić

Brucellosis is an emergent and endemic zoonotic disease in Bosnia and Herzegovina. In this report we have diagnosed the first case of human brucellosis in Bosnia and Herzegovina, using molecular and microbiological tests, caused by live attenuated Brucella melitensis Rev.1 strain. The infection was caused through unintentional exposure to vaccination of small ruminants in Bosnia and Herzegovina and without any prior accidental self-injection of vaccine suspension.

29. 2. 2020.
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C. Bartneck, Tony Belpaeme, F. Eyssel, T. Kanda, Merel Keijsers, S. Šabanović

Samir Causevic, Edvin Šimić, Aida Kalem, A. Selimović

Wide GNSS (Global Navigation Satellite System) availability has its advantages, however, in that case the system is exposed to a large number of external influences, from interference with other signals to deliberate blocking and jamming. There is also a huge increase in GNSS user number for both professional and private purposes. The technology of protection and regulation is partly behind the technological development and leaves room for undesired impacts from both natural and artificial causes. Through this paper GNSS errors are described using an android mobile application, "GNSS Analysis Tool", that allows observation of the GNSS signal characteristics.

Amel Kosovac, Ermin Muharemovic, Nikola B. Trubint

The new challenging trends such as globalisation, liberalisation and privatisation of the postal sector, the emergence of the internet commerce, as well as the demands for high quality commercial postal services operators, create a new ambience for the ways business is conducted by commercial postal services operators which demands innovative approaches. The growing pressure regarding the costs of commercial postal services operators and the increase in volume for pick-up and delivery leads to changes from fixed into variable costs by means of different outsourcing models. This paper proposes a model of calculating the outsourcing services of the technological phases regarding parcel delivery and pick-up, while it is not focusing on the details of the partnership contract. For cost calculation, the model utilizes calculation factors based on the kilometres covered for different categories of vehicles that may take part in the parcel pick-up and delivery phases.

Contemporary dynamic market conditions are characterized by high levels of competition. Businesses are forced to make continuous changes in order to maintain a high level of customer’s satisfaction. Contact centers are part of the global economy and a key channel for communication with customers. Access to the contact centers is realized through several channels (telephone, e-mail, fax, web forms, etc.), but the primary method is still a phone call. Most call centers use Interactive Voice Response (IVR) to route users with a particular problem for directing the user to an agent with appropriate capabilities (Skill-based routing – SBR). This type of contact center operation can have a negative impact on the quality considering customer’s experience, due to the complexity and length of the process, which often results in directing calls to the inadequate agent and describing the problem multiple times to reach the right agent. This paper aims at applying machine learning methods based on prior experience with matching customers and agents in order to reduce time and target agents with adequate problem-solving abilities.

A major research area in non-human social cognition is the investigation of cooperative problem solving, i.e. the cognition involved in situations when animals cooperate with each other. Social cognition is thought to have evolved due to the demands of social living, and is often thought to present an adaptive specialisation for living in groups. A previous analysis of social learning, another area of social cognition, has highlighted how this has consequently led to two overarching biases in the literature: firstly, a bias towards testing only social species, and secondly, an a priori assumption that social learning is qualitatively different from learning involved in non-social situations. The problem of these biases may not restricted to social learning but be present also in other areas of social cognition research. Applying an equivalent analysis to cooperative problem solving shows that here too both biases are present. Firstly, empirical studies on cooperative problem solving primarily conducted with social species and species that exhibit cooperative behaviours in the wild. Secondly, the assumption that cooperative problem solving relies on a distinctly socialcognitive ability can, at least implicitly, be observed throughout the literature. Thismay be the result of confounding different components of the cognitive process involved in cooperation: what information is required to successfully cooperate and how this information is acquired. While the former needs to involve information about another individual, there is no indication that the latter is required to differ from any known, domain-general cognitive mechanism. These two biases make it difficult to systematically test whether and how cooperation differs between species, and as such impede investigations into the evolution of cooperative problem solving.

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