In research aimed at determining ways to protect the data of primary and secondary school students, as well as students and innovators who have submitted their ideas and innovations to innovation fairs in the territory of Republika Srpska, there is a lack of thoroughly analyzed methods and systems for protecting their ideas/innovations. This paper analyzes the most effective security algorithms for the protection of innovations and innovators from different categories. The objective of this work is to define the best prototype for protecting the identity database of innovators and innovations from the civil sector until their patent protection is granted in the territory of Bosnia and Herzegovina. By using the deductive method, we analyze various algorithms that function in a distributed environment. By comparing the advantages and disadvantages of existing algorithms, we suggest the application of the most appropriate one to meet the strategic decision-making needs of civil organizations.

In the interest of both enabling long-term autonomous monitoring of at-risk marine environments and raising awareness and capabilities among citizens, a heterogeneous system of marine robots was developed, integrated, and deployed on a mission in the Adriatic Sea. This paper details a use-case scenario for a team of marine robotic agents for the purpose of cooperative marine litter detection and mapping, while also including interested citizens in the loop and allowing them to serve as operators. Two Autonomous Surface Vehicles (ASVs), a Remotely Operated Vehicle (ROV), and a Smart Buoy were deployed in a real marine environment to demonstrate the cooperative abilities of this system.

In the present paper, we study the high-order above-threshold ionization of noble-gas atoms using a bi-elliptic orthogonal two-color (BEOTC) field. We give an overview of the SFA theory and calculate the differential ionization rate for various values of the laser field parameters. We show that the ionization rate strongly depends on the ellipticity and the relative phase between two field components. Using numerical optimization, we find the values of ellipticity and relative phase that maximize the ionization rate at energies close to the cutoff energy. To explain the obtained results, we present, to the best of our knowledge, for the first time the quantum-orbit analysis in the BEOTC field. We find and classify the saddle-point (SP) solutions and study their contributions to the total ionization rate. We analyze quantum orbits and corresponding velocities to explain the contribution of relevant SP solutions.

Recent studies of selective auditory attention have demonstrated that neural responses recorded with electroencephalogram (EEG) can be decoded to classify the attended talker in everyday multitalker cocktail-party environments. This is generally referred to as the auditory attention decoding (AAD) and could lead to a breakthrough for the next-generation of hearing aids (HAs) to have the ability to be cognitively controlled. The aim of this paper is to investigate whether cepstral analysis can be used as a more robust mapping between speech and EEG. Our preliminary analysis revealed an average AAD accuracy of 96%. Moreover, we observed a significant increase in auditory attention classification accuracies with our approach over the use of traditional AAD methods (7% absolute increase). Overall, our exploratory study could open a new avenue for developing new AAD methods to further advance hearing technology. We recognize that additional research is needed to elucidate the full potential of cepstral analysis for AAD.

Accurate vehicle trajectory prediction is an unsolved problem in autonomous driving with various open research questions. State-of-the-art approaches regress trajectories either in a one-shot or step-wise manner. Although one-shot approaches are usually preferred for their simplicity, they relinquish powerful self-supervision schemes that can be constructed by chaining multiple time-steps. We address this issue by proposing a middle-ground where multiple trajectory segments are chained together. Our proposed Multi-Branch Self-Supervised Predictor receives additional training on new predictions starting at intermediate future segments. In addition, the model ’imagines’ the latent context and ’predicts the past’ while combining multi-modal trajectories in a tree-like manner. We deliberately keep aspects such as interaction and environment modeling simplistic and nevertheless achieve competitive results on the INTERACTION dataset. Furthermore, we investigate the sparsely explored uncertainty estimation of deterministic predictors. We find positive correlations between the prediction error and two proposed metrics, which might pave way for determining prediction confidence.

Unlike pan-FGFR inhibitors, RLY-4008 was designed to be selective for FGFR2 and induces clinical responses in FGFR2-altered solid tumors without clinically significant FGFR1-mediated hyperphosphatemia and FGFR4-mediated diarrhea.

Strategic management has applications in many areas of social life. One of the basic steps in the process of strategic management is formulating a strategy by choosing the optimal strategy. Improving the process of selecting the optimal strategy with MCDM methods and theories that treat uncertainty well in this process, as well as the application of other and different selection criteria, is the basic idea and goal of this research. The improvement of the process of the aforementioned selection in the defense system was carried out by applying a hybrid model of multicriteria decision-making based on methods defining interrelationships between ranked criteria (DIBR) and multiattributive ideal-real comparative analysis (MAIRCA) modified by triangular fuzzy numbers–“DIBR–DOMBI–Fuzzy MAIRCA model.” The DIBR method was used to determine the weight coefficients of the criteria, while the selection of the optimal strategy, from the set of offered methods, was carried out by the MAIRCA method. This was done in a fuzzy environment with the aim of better treatment of imprecise information and better translation of quantitative data into qualitative data. In the research, an analysis of the model’s sensitivity to changes in weight coefficients was performed. Additionally, a comparison of the obtained results with the results obtained using other multicriteria decision-making methods was conducted, which validated the model and confirmed stable results. In the end, it was concluded that the proposed MCDM methodology can be used for choosing a strategy in the defense system, that the results of the MCDM model are stable and valid, and that the process has been improved by making the choice easier for decision makers and by defining new and more comprehensive criteria for selection.

Flood quantile estimation in ungauged basins is often performed using regional analysis. A regionalization procedure consists of two phases: the definition of homogeneous regions among gauged basins, i.e., clusters of stations, and information transfer to the ungauged sites. Due to its simplicity and widespread use, a combination of hierarchical clustering by Ward’s algorithm and the index-flood method is applied in this research. While hierarchical clustering is very efficient, its shortcomings are the lack of flexibility in the definition of clusters/regions and the inability to transfer objects/stations from one cluster center to another. To overcome this, using silhouette width for induced clustering of stations in flood studies is proposed in this paper. A regionalization procedure is conducted on 53 gauging stations under a continental climate in the West Balkans. In the induced clustering, a negative silhouette width is used as an indicator for the relocation of station(s) to another cluster. The estimates of mean annual flood and 100-year flood quantiles assessed by the original and induced clustering are compared. A jackknife procedure is applied for mean annual flood estimation and 100-year flood quantiles. Both the Hosking–Wallis and Anderson–Darling bootstrap tests provide better results regarding the homogeneity of the defined regions for the induced clustering compared to the original one. The goodness-of-fit measures indicate improved clustering results by the proposed intervention, reflecting flood quantile estimation at the stations with significant overestimation by the original clustering.

Abstract The outbreak of the coronavirus disease 2019, caused by the SARS-CoV-2 virus, has prompted global health concerns. In response, researchers have been conducting investigations on active compounds in plants that may hold the potential to inhibit the proliferation of the virus. The aim of this study was to simulate and predict structural interactions of selected compounds isolated from 28 endemic plants of Bosnia and Herzegovina against the main protease (Mpro), papain-like protease (PLpro), RNA-dependent RNA polymerase (RdRp), spike glycoprotein and uridylate-specific endoribonuclease (NendoU) of SARS-CoV-2. The majority of compounds, especially hesperidin, showed great binding affinity to the target proteins. The highest affinity for Mpro was observed for genistein and hesperidin, while in terms of structural interactions, both compounds achieved interactions of interest. Hesperidin and luteolin were the compounds with the highest binding affinity for PLpro, but no significant interactions were observed. For RdRp, hesperidin and quercetin showed the highest binding affinity, where both compounds formed interactions of interest. Hesperidin and fisetin were the compounds with the highest binding affinity for spike glycoprotein, and both compounds achieved significant interactions. The highest affinity for NendoU was obtained for hesperidin and isorhamnetin, where both compounds formed interactions of interest. Although these findings appear encouraging, further research is needed, which includes in vitro and in vivo assessments, along with clinical trials, to provide evidence for the potential therapeutic uses of these plants.

In a ternary mixture with the Soret effect, the interplay between cross-diffusion, thermodiffusion, and convection can lead to rich and complex dynamics including spatial patterns and oscillations. We present an experimental and three-dimensional numerical study of dynamic regimes in the toluene-methanol-cyclohexane ternary mixture with the Soret effect in the geometry of a thermogravitational column. An important feature of the system is that for the first component, toluene, the Soret and thermodiffusion coefficients have opposite signs, which triggers the oscillatory instability. Our experiments and numerical analysis show that the primary long-wave instability manifests itself in the form of a standing wave, and the secondary one emerges in the form of a swinging pattern. The computational model provides insight into the role of cross-diffusion coefficient D12 in the emergence and development of oscillatory instability. This study demonstrates that the long-wave oscillatory instability in transverse direction occurs only within a limited range of the D12 values and outside of this range it decays to a stationary pattern of either Turing-like or monotonic instability.

Objective – The aim of the study was to establish the prevalence of hearing and sight impairment, and the differences in relation to school grade and sex in school children in the area of the Jajce municipality.Materials and Methods – Screening of sight and hearing impairment in school children took place in 2018 and 2019. Vision screening covered a total of 1002 students from 1st to 5th grades, and hearing screening 768 students from 2nd to 5th grades in all central and district (rural) schools in the area of the municipality of Jajce.Results – Of the total number of students covered by the vision screening, in 163 (16%) some impairment was noticed, and they were sent for further diagnostic testing by a specialist. In relation to sex, there was a higher percentage of girls, 60%, than boys, 40%. In relation to screening of hearing, 44 (6%) of the students were sent for further diagnostics, of which 57% were boys and 43% girls. During the vision screening, 5% of the students were wearing dioptric glasses. In relation to age, the largest number of students were in first grade, 14 (27%), then in second grade, 10 students (19%). Conclusion – In this study, the results showed that a large percentage of school children were found with hearing and vision impairment, which indicates the pressing need to continue running these preventive programmes.

Today, tourism represents a strong and important economic branch, whether it concerns economically developed and underdeveloped countries as well as developing countries. It can increase employment in almost all countries, regardless of their level of development. Today's moment is marked by pronounced global crises, which again have a strong negative impact on the economic and social aspects of society, both globally and locally. Tourism, due to its characteristics and the positive effects it achieves in the process of realizing all activities in its area, can greatly reduce the percentage of unemployment in local communities. This positive effect of reducing unemployment is reflected in the possibility of employment for all categories of the unemployed, and particularly vulnerable groups of the unemployed such as people with disabilities, women, young people, the long-term unemployed, etc. Encouraging tourism in states or certain regions can have a favourable positive effect on employment within the territory. the same. For countries and regions that have developed tourism and that do not have pronounced problems with unemployment, activities through tourism increase the country's balance of payments as additional income through exports. Underdeveloped regions and countries and developing countries, by increasing activities through tourism, in addition to being an important source of income, realize a particularly important positive effect through the reduction of unemployment rates in them. Many developed countries, among which Austria is the leader, as a highly developed tourist destination for a long time, institutionally, have realized and use the potential offered by tourism to increase employment and actively use it to reduce the unemployment rate. Unfortunately, in our country and its tourist regions, where tourism is often one of the most important economic branches, this has not been done and they still record high rates of unemployment. Tourism in Bosnia and Herzegovina and Sarajevo Canton is a sector that can make a significant contribution to faster economic development. In our country and its regions and cantons, there are great potentials for increasing tourism activities, which will generate a greater number of jobs in tourism as well as tourism-related economic branches. To successfully solve the problem of unemployment in Bosnia and Herzegovina, its regions and cantons, positive experiences of tourism development through selective forms of tourism can be used, also using models of successful experiences from the world and the countries of the European Union. Keywords: tourism, unemployment, selective forms of tourism, European Union unemployment, Sarajevo Canton unemployment.

Dysfunction of neutrophils in patients with cystic fibrosis (CF) is best characterized in bronchoalveolar lavage (BAL), whereas peripheral blood neutrophils are less examined, and the results are contradictory, especially in younger populations. Therefore, this work aimed to study functional and phenotypic changes in circulating neutrophils in children with CF. The study included 19 CF children (5–17 years) and 14 corresponding age-matched healthy children. Isolated neutrophils were cultured either alone or with different stimuli. Several functions were studied: apoptosis, NET-osis, phagocytosis, and production of reactive oxygen species (ROS), neutrophil elastase (NE), and 11 cytokines. In addition, the expression of 20 molecules involved in different functions of neutrophils was evaluated by using flow cytometry. CF neutrophils showed reduced apoptosis and lower production of NE and IL-18 compared to the healthy controls, whereas IL-8 was augmented. All of these functions were further potentiated after neutrophil stimulation, which included higher ROS production and the up-regulation of CD11b and IL-10 expression. NET-osis was higher only when neutrophils from moderate–severe CF were treated with Pseudomonas aeruginosa, and the process correlated with forced expiratory volume in the first second (FEV1). Phagocytosis was not significantly changed. In conclusion, circulating neutrophils from children with CF showed fewer impaired changes in phenotype than in function. Functional abnormalities, which were already present at the baseline levels in neutrophils, depended on the type of stimuli that mimicked different activation states of these cells at the site of infection.

Objective: To investigate the arterial stiffness and risk factors in adolescence. Arterial stiffness often (AS) results from the degenerative process of the media layer of elastic arteries causing rigidity of the arteries. Arterial stiffness increases with age and it is associated with several risk factors as a disease predictor. But, arterial stiffness can be also increased in a healthy arteries as well. The increased sympathetic activity promotes vasoconstriction of resistant blood vessels i.e. arteries and arterioles that result in peripheral vasoconstriction. Adolescence age is the most important period of life for promoting future health. The certain dynamic risk factors in adolescence like, emotional dysregulation, psychological family stress, education pressure, lack of sleep, gambling, substance abuse, smartphone overuse and obesity can cause arterial stiffness. Design and method: The prospective open randomized study was designed. Adolescence age between 10 and 19 years have been investigated for increased arterial stiffness and risk factors. The inclusion criteria was healthy adolescence, while exclusion criteria was any disorder present. Arterial stiffness, non-invasive blood pressure and pulse wave datas have been measured using Agedio device. The risk factors were evaluated in every subject. The vascular age have been outlined as the final measure. Results: The preliminary results indicate the increase of Augmentation Index and Coefficient of Reflection. The average percentage of Augmentation Index was 40% and Coefficient of Reflection 65% (normal value 28% and 60% respectively). The main risk factors were educational pressure, lack of sleep and smartphone influence. The vascular age was on average, 3 years higher than biological age. Conclusions: Arterial stiffness in adolescence is increased mainly by peripheral vasoconstriction, manifested with Augmentation index and Coefficient of wave Reflection.