Introduction: Socioeconomic changes have a significant impact on the health of the population. Socioeconomic development of society is one of the basic determinants of the health condition and needs of the individual and in the population as well. Aim: To explore the existence of differences in indicators of oral health status between the displaced persons and domicile population, considering the socioeconomic status (SES) of the respondents. Patients and Methods: A total of 310 people, aged 35-44 (mean 40.19 ± 3.60), were interviewed and examined, with 157 of them in a subsample of domicile inhabitants and other 153 respondents in displaced persons subsample. The SES of respondents was determined using a survey. After conducted examinations in study participants, determined results were recorded as dental status (DMFT Index), and periodontal status (CPI Index). Results: There was a significant difference in the mean value of caries existence between displaced persons of low and middle SES. In domicile inhabitants, there were no statistically significant differences in mean values of caries existence between the individuals with low and middle SES, while the differences existed between the individuals with low and high and between the middle and high SES. Domicile inhabitants with high SES had significantly less carious lesions than those with lower SES. Domicile inhabitants with high SES had significantly fewer extractions and more teeth with fillings. Conclusion: People with low SES have worse oral health status. Displacement and low socioeconomic status significantly influence the state of oral health.

Introduction: Genetic polymorphism is associated with individual responses to medication and susceptibility to diseases, and it represents the basis for individualized medical treatment and drug genomics studies. Genetic variation at CYP2D6 is high, both among populations and among individuals in the same population. Aim: The aim of the study was to investigate the CYP2D6 gene duplication and the non-synonymous single-nucleotide polymorphisms (SNP) 100C>T in the CYP2D6 gene in members of the Bosnian population. Material and Methods: The blood samples were collected from 151 unrelated and healthy donors from Bosnian populations consisted of 94 females and 57 males. Duplex long-range PCR was used to determine whether individuals carrying CYP2D6 gene duplication. The resulting PCR product of 5.1 kb, containing all nine CYP2D6 exons, was used as template for detection of the CYP2D6 100C>T allele by nested PCR. Results: The CYP2D6 gene duplication frequency found in the Bosnian population (2.73%) was related to the frequencies of this allele in other Caucasians. The gene duplication is the result of inheritance of more than two copies of the fully functional CYP2D6 alleles. In contrast, the frequency of the CYP2D6 100C>T variant, with possibly damaging function, in the Bosnian population (15.56%) was significantly higher when compared with the other Caucasians but significantly lower when compared with Asians. Conclusion: CYP2D6 metabolizes many commonly prescribed drugs. Variations in the gene encoding this enzyme have been associated with individual differences in drug metabolism rates. The individuals with multiple CYP2D6 gene copies metabolize drugs more rapidly and therapeutic plasma levels will not be achieved at ordinary drug dosages. The non-synonymous coding SNP (100C>T) were predicted to have damaging effects on the protein function.

Abstract. In this paper, we consider the asymptotic behaviour of τ -Li coefficients for the wide class of L-functions that contains the Selberg class, the class of all automorphic L-functions, the Rankin-Selberg L-functions, as well as products of suitable shifts of the mentioned functions. We consider both archimedean and non-archimedean contribution to the τ -Li coefficients, both separately, and their joint contribution to the coefficients. We also derive the behavior of the coefficients in the case the τ/2-Riemann hypothesis holds, which is the generalization of the Riemann hypothesis for the class under consideration. Finally, we conclude with some examples and numerics.

The aim of our work was an implementation of potentiometric determination of copper in samples of the genus Veronica (family Plantaginaceae). Genus Veronica herbs are widely used in e.g. cosmetic, traditional medicine and food industry. The copper content was potentiometrically analysed in 25 herbal samples of genus Veronica and 12 of their hydrolats. The analysed samples were herbal samples of Veronicas harvested mainly in three Croatian regions – Dalmatia, Lika and Slavonia as well as randomly selected samples of theirs hydrolats. Veronicas’ samples were digested in a microwave oven by using nitric acid and hydrogen peroxide mixture. The potentiometric determination was performed by using commercially available CuISE for Cu2+, by using potentiometric methods previously developed in our laboratory.

In this paper we present a novel approach for real-time anomaly detection in the flexible production, an emerging area in the manufacturing, esp. in the context of Industry4.0. It is based on an advanced usage of Complex Event Processing combined with the massive data analytics, which enables learning of the clusters, which represent normal/usual and unusual/anomalous behaviour. The main innovation is in the combination of the model-based and data- driven approaches, which enables a continuous anomaly detection. The approach has been implemented using the D2Lab (Data Diagnostics Laboratory) framework for big data processing. The results have been tested in an industry case study, enabling efficient anomaly detection in the shoe manufacturing.

In this paper we present a novel approach for the process improvement based on the data-driven modelling. The idea is that by performing Big data analytics on the past process data we can model what is (statistically analyzed) usual/normal for a selected period and check the variations from that model in the real-time (as Six Sigma requires). Additionally, these data-driven models can support the root- cause analysis that should provide insights what can be eliminated as a waste in the process (as Lean requires). However, due to the above mentioned variety and volume of data, the analytics must be a) robust – dealing with differences efficiently and b) scalable - realized in an extremely parallel way. We propose a novel method for process control that uses big data analytics approaches to deal with the multidimensionality and the large size of the process space. In order to realize this idea we develop a new concept of self- aware digital twins which are able to reason about own behaviour and react if needed. Indeed, we revolutionize the concept of digital twins by extending their "virtual replica" (of physical objects) nature into "digital self-awareness" of physical objects (assets, systems), leading to the new generation of digital twins, so called self-aware DTs, which can "reasons" about the behaviour of an object (and not only mimic it) and actively participate in its improvement. We present the outcomes from the case study related to 3D laser cutting process.

UDK: 630*23:582.475(234.422 Bjelašnica) This document includes research in regeneration of fir in differently structured stands of beech and fir forests (with spruce) on mountain Bjelašnica near Sarajevo. Analysis of fir regeneration in differently structured stands was done by comparison of numbers of units of young fir, per growth category, and by total number of young fir at canopy density degree of 0.7 (0.60 – 0.79) and 0.9 (0.80 – 1.00), and by mixture ratio – share of fir (spruce) 0.7 (60 – 79 %) and 0.9 (80 – 100 %). Comparisons were done between virgin forest stands of beech and fir (with spruce) on ‘Ravnavala’, than, two-storied stand where we recorded transition of tree species (beech is dominant in upper growth, while fir is mainly dominant in young growth) on location ‘Medvjeđalokva’ and stands of typical uneven aged production forest of beech and fir (with spruce) in direct vicinity of virgin forest stand. Data gathering was done using total measurement method on permanent experimental plots of 1ha in virgin forest stand and two-storied stand on location ‘Medvjeđalokva’ and on circular plots in diameter of 12.62 m. Positions of circular experimental plots were determined by systematic sample in form of grid on intersections of Gauss-Krueger system, in intervals of 100 meters. Grid is laid in three transects of 27 plots each that is spread across forest compartments number: 111, 113, 114 and 115 of Management unit „Igman“, location ‘Ravnavala’. We have placed two experimental square plots of 1ha; one in virgin forest reservation ‘Ravnavala’ for preservation of assortment, status without human impact (compartment 106, MU „Igman“), and the other in management forest of this area “Medvjeđalokva” (compartment 117, MU „Igman”) for specific structure of assortment. Square 1ha plots were divided by grid of squares 10 x 10 m into 100 small plots.

Mljet (Latin: Melita) is eighth island in Croatia by size, one of the largest south Dalmatian islands and Dubrovnik archipelago’s largest island. Due to its beauty and living standard, the island of Mljet has a rich but insufficiently explored history. The remains of a Roman palace in Polače, according to which the place got its Slavicized name, bear witness of a strong Roman influence and the period of progress of the island of Mljet. The palace in Polače is certainly the most important Roman-period monument on the island. It was built as a villa rustica. Together with Diocletian’s Palace in Split, it represents the largest Roman monument on the entire territory of Dalmatia. The port in Polače is quite hidden and as such offered protection to ships and served as dilivery port for agricultural produce from the entire Roman empire. In the Roman period, this palace served as a headquarters of island’s governor, military, administration and clergy. All previous research suggest that this settlement  was inhabited from 1st to 11th century with all the features of an ancient and early  medieval town. Using previously analyzed sources and available literature, the paper tries to point out the importance and position of the island during the Roman  period. Particular attention was paid to the analysis of two legal acts - the charter of the German army chief and the barbarian king of Italy Odoacer, from the second  half of the 5th century and the fragment of the testament of an unknown testator  from the mid VI century, within which, in the period of a century, is mentioned the  same amount of yield (earnings) from the island of Mljet.

Approximate entropy (ApEn) and sample entropy (SampEn) have been previously used to quantify the regularity in centre of pressure (COP) time-series in different experimental groups and/or conditions. ApEn and SampEn are very sensitive to their input parameters: m (subseries length), r (tolerance) and N (data length). Yet, the effects of changing those parameters have been scarcely investigated in the analysis of COP time-series. This study aimed to investigate the effects of changing parameters m, r and N on ApEn and SampEn values in COP time-series, as well as the ability of these entropy measures to discriminate between groups. A public dataset of COP time-series was used. ApEn and SampEn were calculated for m = {2, 3, 4, 5}, r = {0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5} and N = {600, 1200} (30 and 60 s, respectively). Subjects were stratified in young adults (age < 60, n = 85), and older adults (age ≥ 60) with (n = 18) and without (n = 56) falls in the last year. The effects of changing parameters m, r and N on ApEn and SampEn were investigated with a three-way ANOVA. The ability of ApEn and SampEn to discriminate between groups was investigated with a mixed ANOVA (within-subject factors: m, r and N; between-subject factor: group). Specific combinations of m, r and N producing significant differences between groups were identified using the Tukey’s honest significant difference procedure. A significant three-way interaction between m, r and N confirmed the sensitivity of ApEn and SampEn to the input parameters. SampEn showed a higher consistency and ability to discriminate between groups than ApEn. Significant differences between groups were mostly observed in longer (N = 1200) COP time-series in the anterior-posterior direction. Those differences were observed for specific combinations of m and r, highlighting the importance of an adequate selection of input parameters. Future studies should favour SampEn over ApEn and longer time-series (≥ 60 s) over shorter ones (e.g. 30 s). The use of parameter combinations such as SampEn (m = {4, 5}, r = {0.25, 0.3, 0.35}) is recommended.

Introduction: Quantifier Elimination gives us perfect insight into the most basic world of the computer, its origin, its primer functions and it basic operations. Carefully designed and programmed Algorithm for Quantifier Elimination makes the quantifier elimination from the quantified formulas much easier and much more comprehensive Aim: This paper explains how Quantifier Elimination algorithm can be used in the field of Biology, or to be more specific, in the field of Epidemiology. Material and methods: Exemplary formulas needed for the algorithm are all the formulas from the Mathematical Logic field. JavaScript programming language was used in order to program fast and effective algorithm for Quantifier Elimination. Results: Solving the certain problems from the field of Epidemiology using the Quantifier Elimination method, proved to be very successful in the past, because it made possible for the results to be extracted very fast. Doing the exact thing using the newer generation algorithm might be even more effective. Conclusion: The most basic concepts of Mathematical Logic can be implemented in order to solve the one of the most important questions in Epidemiology.