Introduction: The growth and development of the craniofacial complex are under the influence of genetic and environmental factors, which determine its morphological and functional characteristics. Twin studies provide significant insight into how many genetic and environmental factors determine dental and craniofacial characteristics. Aim: The aim of the study was to determine the genetic influence on craniofacial complex using a twin study model. Methods: The study sample comprised 52 pairs of twins who were referred to the Orthodontic Department, School of Dental medicine, University of Sarajevo. Informed consent was obtained by the parents of the children included in the study. Twenty pairs of twins were diagnosed as monozygotic while 32 pairs were diagnosed as dizygotic. Zygosity was diagnosed by physical characteristics similarity. Nineteen variables were measured: 10 dental variables, 9 cephalometric. Results: Based on the findings of this study, t-test showed significant genetic effect on the length of cranial base (p = 0.03), corpus of maxilla (p = 0.02) and mandibular length (p = 0.03), and also for B-angle (p = 0.04). Environmental factors are more involved in determining dental traits (e.g., the inclination of the incisors). Conclusion: There is a significant genetic effect on the linear cephalometric variables: the length of the cranial base, maxillary length and mandibular length.

Introduction: Food supplements utilization is showing increasing trend among healthy as well as chronic disease population. Diabetes as a pandemic disease is treated by different interventions and traditional pharmacological treatment, but also utilization of natural products and food supplements (FS) are becoming important. Role of the pharmacist in diabetes management includes different interventions like counseling and recommendation of FS. Aim: To explore current trends in dietary supplements utilization among diabetic patients from the pharmacists’ perspective, pharmacists’ attitudes and knowledge about this group of products and suggest future directions related to this issue. Methods: We have analyzed pharmacists’ perception of FS utilization for diabetes and its complication treatment by conducting online survey. The survey was developed by authors based on research aim and published literature. Results: It has been found that 72% of patients with diabetes are purchasing different FS and that they are willing to pay between 5,0-15,0 EUR per visit for this products. Even in majority of cases pharmacists proactively advice patients about FS selection they identify need for specific education in this field in order to strengthen their competencies and competitiveness. Pharmacists also identified need for FS specially formulated and intended for blood glucose controls and most often diabetes complications and related conditions. Conclusion: This is the first study in this field conducted in Bosnia and Herzegovina suggesting further activities and research of this topic.

Introduction: Cancer of the prostate (PCa) is the second most common cancer-related cause of death among men and the most common non-cutaneous malignancy in Western countries. Numerous papers have been published on the topic of various aspects of this disease; however, rather little has been written on the diagnostic and prognostic value of the prostate cancer obtained from needle biopsy. Aim: To examine the utility of Pixel Prostate software in determining the volume and topographic distribution cancer of the prostate (PCa), and to analyze it with other variables that are characteristic for PCa. Methods: retrospectively, 75 patients data and postoperative prostate specimens were analyzed, after determining topographic distribution and cancer volume (PCa), using PixelProstate software. Results: Mean VPCa was 6.99 cm3 (0.14-29.7; median 4.51), and mean percentage cancer volume relative to prostate volume (%VPCa) was 16% (0.1-67.2%; median 13%). 71% of the patients had T2 stage, while the rest had T3 stage. Apex involvement was present in 65% of the patients, while central zone involvement and extraprostatic extension were present in 23.5% and 22.7% of the patients, respectively. Preoperative Gleason score undergrading was present in 27 (36%) patients, while bilateral PCa finding was increased from 51% to 87%, postoperatively. The most discriminant variable according to the prediction of %VPCa>10% had preoperative bilateral needle biopsy findings, with AUC of 0.75 (<.001), with sensitivity and specificity of 84% and 70%, respectively; (+LR 2,8; PPV of 74%; NPV of 82%). %VPCa showed good correlation with prostate specific antigen (PSA) and PSA-density. Conclusion: A possibility of precise spatial orientation and volume characterization of the PCa by PixelProstate software was shown. Simultaneously, with time, a clinician, experienced by PP software feedback, gets better insight for the planning of future prostate biopsy, as an important factor in clinical decision making.

This study presents a short-term prediction approach for honey production using ensemble regression technique. The data were recorded as a part of Habeetat project in Sarajevo, Bosnia and Herzegovina for 2016 season. This season has been entitled as one of the worst seasons for beekeepers in our country, which makes the problem of honey production prediction even more challenging. Random Tree regression algorithm was used for such purpose showing that the mean absolute error in predicting total honey production was less than 1.16 kg in all three hives monitored between November 2016 and April 2017. These findings are very significant for beekeepers since they can be notified in advance to visit individual hives and collect the honey. Besides, they can monitor trends in honey production throughout the season and perhaps change the position of hives in the current season and for the next upcoming season.

Abstract The purpose of this research is to investigate the effects of perceived value dimensions (i.e., economic value, hedonic value, symbolic value, and social value) on behavioral intent to engage in collaborative consumption from the perspective of Generation Y. Furthermore, this research aims to investigate the mediating effect of young consumers’ attitude toward collaborative consumption on the relationship between perceived value dimensions and behavioral intent to engage in collaborative consumption. Research findings suggest that specific dimensions of perceived value (economic, hedonic, symbolic, and social) have different direct effects on young consumers’ behavioral intention to engage in collaborative consumption services. Regarding the mediating role of consumers’ attitude toward collaborative consumption, it was found that the mediating effect takes place only in the symbolic value-behavioral response link. Given the paucity of research focusing specifically on collaborative consumption from the perspective of Generation Y, this study provides new and useful insights for researchers and managers.

The bacteria Helicobacter pylori (H. pylori) have been identified in the extragastric tissues in the head and neck. The origin and pathogenicity of these bacteria in the head and neck are not known. Gastric reflux and nasal or oral routes are the possible modes of spread. In many sinonasal, pharyngeal, laryngeal, and middle ear disorders, laryngopharyngeal reflux has been identified as a contributing or causative factor. One possible mode by which laryngopharyngeal reflux may contribute is by seeding of the extragastric mucosa with H. pylori. The clinical significance of the discovery of H. pylori in extragastric tissues in the head and neck is unclear. There is no evidence of a pathologic or active role of H. pylori in otorhinolaryngological disorders. The suggestion that the sinonasal cavities and pharynx may serve as a reservoir for H. pylori and that reinfection of the stomach occurs after eradication therapy awaits further studies for confirmation. No connection was observed between H. pylori found in the stomach and H. pylori found in the head and neck. Also, these bacteria, found in the head and neck tissues, may be accidental or innocent bystanders that do not affect the pathways of otolaryngological and gastroduodenal diseases. This review examines the evidence for a possible relationship of H. pylori with otorhinolaryngological diseases.

For measuring lightning strokes, it is necessary to select the appropriate sensor. The nominal sensor parameters (lightning current peak and frequency range) should be selected taking into account that the lightning current peak which strikes the tower top can be up to 400 kA. In addition, sensors should be able to store all the components in one flash. This paper presents the system of testing and sensor calibration.

Side-scan sonar mapping of an unknown large-scale seafloor area by a marine vehicle is nowadays very common. It is also important that a-priori unknown interesting parts of the seafloor area are scanned in more detail, i.e. sonified from both sides. However, completely autonomous and time-efficient coverage path (re)planning for such missions is still an open issue. In contrast to the standard overlap-all-sonar-ranges lawnmower pattern offline static coverage problem solution for side-scan sonar missions, in this paper two online sonar data-driven coverage algorithms are proposed as extensions of authors’ prior work. Analytical upper and lower bounds on performance of the proposed coverage planning algorithms are given and validated through extensive mission parameters variation simulations. Statistical performance analysis of the proposed coverage planning algorithms’ performance shows significant complete coverage time efficiency improvements w.r.t. the classical unadaptive lawnmower approach. Also, a detailed comparison of coverage planning algorithms proposed by the authors so far is provided.

Abstract The role of local government units and the level of fiscal autonomy are the main drivers of local development activities in countries. The aim of this paper is to measure the level of fiscal autonomy of large cities that have been identified as conductors of local development activities in three Southeastern European (SEE) countries, namely Croatia, Serbia and Bosnia and Herzegovina, as well as to compare the level of fiscal autonomy between large cities and other remaining local units in the respective countries. The results of the research measured by the index of fiscal autonomy and compared with the index of fiscal autonomy of all remaining local government units in each of these countries indicate limited fiscal autonomy. Th is research provides new scientific evidence and fills the gap regarding the level of fiscal autonomy of large cities to improve and increase their budget capacity.

In this paper, we revisit the data of the San Antonio Heart Study, and employ machine learning to predict the future development of type-2 diabetes. To build the prediction model, we use the support vector machines and ten features that are wellknown in the literature as strong predictors of future diabetes. Due to the unbalanced nature of the dataset in terms of the class labels, we use 10-fold cross-validation to train the model and a hold-out set to validate it. The results of this study show a validation accuracy of 84.1% with a recall rate of 81.1% averaged over 100 iterations. The outcomes of this study can help in identifying the population that is at high risk of developing type-2 diabetes in the future.