—Image registration plays a vital role in understanding changes that occur in 2D and 3D scientific imaging datasets. Registration involves finding a spatial transformation that aligns one image to another by optimizing relevant image similarity metrics. In this paper, we introduce itk-elastix , a user-friendly Python wrapping of the mature elastix registration toolbox. The open-source tool supports rigid, affine, and B-spline deformable registration, making it versatile for various imaging datasets. By utilizing the modular de-sign of itk-elastix , users can efficiently configure and compare different registration methods, and embed these in image analysis workflows.

Introduction: In dental clinical practice, devices such as mobile phones and DSLR cameras (Digital Single Lens Reflex) are used to take intraoral and extraoral photographs. The existence of a large number of studies would allow the establishment of standards for the analysis of photographs and their wider use in daily practice in order to establish a rapid diagnosis, predictability of results and the development of teledentology during the COVID-19 pandemic. The aim of the pilot study was to determine the repeatability of point positioning in the analysis of facial symmetry in digital 2D photography. Materials and methods: One face was photographed using two different photography techniques. Points were positioned in one photo and used for each subsequent measurement. Two evaluators positioned 20 points in three time-separated periods. Results: The results suggest a relatively high degree of agreement of the point positioning provided by the two evaluators. Absolute matching of estimates was registered on 22 parameters (ICCs = 1.00), while on another 17 this value was high (ICCs >.96) Conclusion: This study shows that the values of the interclass of correlation coefficients calculated by the method of two-way random effects for each of the six indices are higher than the values of the lower limit of acceptability (ICC> 0.70). It is necessary to do additional research that will include a larger sample and different phone models to establish the diagnosis of facial asymmetry and the development of teledentistry.

Guilt of minors is the focus of scientific and professional thematization, which has gained regional relevance through numerous tragic events, i.e. crimes committed by minors. Tragic events, with minors as perpetrators of the most serious crimes, require reconsideration and analysis of both current situation in the field of preventive work, and the current situation the field of prescribed legislative solutions in the field of criminal law. In this paper, the authors referred to the legislative aspects of the guilt of minors, where the focus of the paper is on the concept of guilt in juvenil criminal law and the perception of quilt from aspects of prescribed criminal sanctions for minors and the conditions for their imposition and the age limits of the capacity of minors to bear quilt. Certain aspects of the prescribed incriminating behavior of minors and their causal connection with the quilt of the parents, are also problematized. In this sense, an overview is given of the challenges of searching for appropriate de lege ferenda solutions, as well as dilemmas and shortcomings arising from the dubious nature of certain prescribed provisions that are directly related to the delinquency of minors.

Background: Metabolic syndrome (MetS) denotes a cluster of co-occurring medical conditions associated with regulating hyperglycemia and acute cardiovascular events and complications. The escalating frequency of MetS among individuals afflicted with type 2 diabetes mellitus (T2DM) underscores its burgeoning significance as a critical public health concern and a complex clinical conundrum. Timely identification is imperative to avert the expedited progression of diabetic complications. Objective: To investigate the role of CRP/HDL-C and Monocyte/HDL ratios in predicting MetS in T2DM individuals. Methods: The study was designed as a two-year prospective study and included 80 T2DM patients divided into MetS and non-MetS groups based on MetS development over two years. The patients’ serums were analyzed for complete blood count parameters, lipid profile, and C-reactive protein (CRP). Based on the laboratory test results, Monocyte/HDL-C and CRP/HDL-C ratios were calculated and analyzed. The receiver operating characteristic (ROC) curve and their corresponding areas under the curve (AUC) were used to determine prognostic accuracy. Results: Monocyte/HDL-C ratio and CRP/HDL-C ratio were significantly higher in MetS-T2DM2 than in nonMetS-T2DM (p=0.003 and p=0.029, respectively). The results of ROC curve analysis have shown that the CRP/HDL-C ratio (AUC of 0.695) and Monocytes/HDL-C ratio (AUC of 0.645) can serve as good predictors of MetS in T2DM patients. Conclusion: This study confirms the reliability of the Monocytes/HDL-C and CRP/HDL-C ratios as novel, simple, low-cost, and valuable predictors of MetS development in T2DM.

Background: Corona infection is primarily a respiratory disease, but the SARS-CoV-2 virus also penetrates other organs, causing various symptoms, including olfactory and gustatory dysfunction, which is why we can consider COVID-19 as a multisystem disease. Aim: To present review of some aspects of the olfactory and gustatory dysfunction in SARS-CoV- infection. Methods: The article has an analytical character and review of the literature. Results and Discussion: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a high similarity with SARS-CoV-1 and uses the same receptors to enter the human body (angiotensin-converting enzyme 2/ACE2). COVID-19 is primarily a disease of the respiratory system, but SARS-CoV-2 also penetrates the other organs including central nervous system (CNS). Patients with SARS-CoV-2 infection can experience a range of clinical manifestations, from no symptoms to critical illness. The entry of the virus into the brain can lead to different neurological and psychiatric manifestations, including loss of smell (anosmia) and the loss of taste (ageusia). The frequency of anosmia and ageusia in patients with COVID-19 varies widely, from 10 to 65%, being the primary symptom in about 12% of patients. For now, the etiopathogenesis of anosmia and ageusia in SARS-CoV-2 infection is still unknown. Most of the analyzed subjects reported olfactory recovery. However, anosmia and ageusia can last several months or even longer. While most patients are expected to recover their sense of smell or taste within the first three months, a major subpopulation of patients might develop long lasting dysfunction. Although a substantial proportion of patients with Covid-19 might develop long lasting of diferent level of ansomia and ageusia it is uncertain what proportion of patients develop persistent dysfunction. Anosmia/ageusia can be as an important risk factor for fog, anxiety, and depression that may show a prolonged and/or delayed impact. However, we do not yet know what long-term effects these disorders may have on the central nervous system and mental health in general. Conclusion: The COVID-19 is primarily a disease of the respiratory system, but SARS-CoV-2 also penetrates other organs (multisystem disease), causing various symptoms, including olfactory and gustatory dysfunction. The frequency of anosmia and ageusia in patients with COVID-19 is common but according to different papaers varies widely, from 10 to 65%, being the primary symptom in about 12% of patients. Most of the analyzed subjects reported olfactory recovery. However, anosmia and ageusia can last several months or even longer. We do not yet know what long-term consequences these disorders may have on the central nervous system and mental health in general.

Understanding the level of economic freedom is an important indicator for investors and policymakers. The index of economic freedom, which the Heritage Foundation releases annually, is the most significant of the methods used to measure this indicator in practice, as this index evaluates the degree of market openness over the degree of fiscal and regulatory restraint. The research presented in this paper was conducted in order to establish the level of economic freedom in the Balkan countries. For this purpose, a multi-criteria ranking of Balkan countries based on economic freedom criteria was used. The weight of the criteria was determined using the Entropy method, and the countries were ranked using the CRADIS (Compromise Ranking of Alternatives from Distance to ideal Solution) method. These methods employed a double normalisation approach, and according to the results of this application, Bulgaria has the best indicators of economic freedom, while Montenegro has the worst, with sensitivity analysis and validation of the results confirming these findings. The approach of using double normalisation contributes to decision-making stability since the results of different methods are uniform when compared to the use of the classical approach in the case of multi-criteria analysis methods.

This research is focused to identifying the most suitable plum variety for establishing a new orchard, aiming to achieve optimal outcomes. To accomplish this goal, multi-criteria decision-making model has been developed striving to support decision-making process. The gained results are based on experience of experts engaged in assessment of certain plum varieties. The analysis of collected expert ratings has involved mutual use of 3 methods, where the FUll COnsistency Method (FUCOM) and CRiteria Importance Through Intercriteria Correlation (CRITIC) methods were applied to determine the weights of selected criteria. The results of applying these methods demonstrated that the Maretability criterion is of highest importance. Besides, the fuzzy MARCOS method (Measurement Alternatives and Ranking according to Compromise Solution) has been applied to rank the plum varieties according to expert ratings. Derived results revealed that the ?Cacanska rodna? and ?Stanley? varieties were ranked as the most favorable, while the ?Prezident? variety was assessed as the most unfavorable. Further, gained research outcomes were corroborated by the sensitivity analysis and results validation. This research contributes to improvement of fruit growing in BiH by previous adequate selection of available plum varieties towards the establishing of new orchards and yielding optimal outcomes.

According to applied TOPSIS multi-criteria decision-making method (Technique for Order of Preference by Similarity to Ideal Solution), in paper was selected adequate sales distribution channel in one enterprise active within the agro-food sector at the territory of Semberija (BiH). Decision makers, in this case represented by employed management in enterprise, have been evaluated five sales distribution channels in enterprise in line to previously defined criteria, i.e. products' characteristics, company's financial situation, consumer habits, production costs, geographic concentration, and products' assortment. The main goal of research was to create a model for optimal selection of sales channels, while derived results have been showed that the model "producer - seller (retailer) - consumer" is the most adequate towards the predefined selection criteria. In addition to the justified role of used method in selection of offered alternatives, article also represents a base that will serve in further research, whose focus would be on modernizing of existing and searching for new distribution channels in agricultural enterprises.

The hotel industry is undergoing significant change as a result of technological advancements and shifting guest preferences. Artificial intelligence (AI) is playing an increasingly important role in this transformation, allowing hotels to provide personalized, efficient, and sustainable experiences that meet the needs of modern travelers. This paper provides an overview of the role and application of AI in the hotel industry, highlighting its benefits and challenges as well as presenting case studies that show how hotels are currently utilizing AI technology. According to the review of literature, AI technology can be used to optimize hotel operations, improve the guest experience, and boost sustainability efforts. However, the use of AI technology in the hotel industry raises concerns about data privacy and security, job displacement, and the need for human supervision to ensure ethical and responsible deployment. Finally, the paper discusses the future directions of AI in the hotel industry, highlighting the emergence of voice technology and augmented reality as potential areas for future innovation. This paper adds to the growing body of literature on the use of AI in the hotel industry and provides useful insights for hotel managers, technology providers, and researchers.

From the pure health crisis that countries faced at the very begin­ning of the COVID-19 pandemic, in later stages it led to the creation of multi­ple economic and financial vulnerabilities. When the world economies start­ed recovering from the pandemic negative impacts, Russia started its inva­sion of Ukraine. The study aims to add to the growing body of literature on the topic of crises caused by the COVID-19 and Russian–Ukraine war by ana­lyzing and comparing the volatility of the world’s leading stock market per­formance benchmarks in the pre-crisis and crisis periods. For the analysis, Levene’s test is used to check the homogeneity/heterogeneity of variances of stock market returns. Analysis shows that all indexes performed better in the Russian–Ukraine crisis compared to the COVID-19 crisis, i.e., the volatili­ty of returns of all indexes is significantly lower in the Russian-Ukraine crisis compared to the COVID-19 crisis.

The paper discusses the relationship between assessment in teaching English as a foreign language and students’ competencies. The data collected by this research show that, in recent times, teachers and students are becoming aware that learning based only on the acquisition of facts will not adequately respond to the challenges they will face in the future. An environment in which the learning outcomes are transparently and directly linked to the students’ competencies enables them to take responsibility for their progress, not only during the official period of schooling but also during lifelong learning, which is very important. With this approach, learning outcomes and their connection with the necessary competencies to achieve learning outcomes become the basis for redefining qualifications and curricula in general and professional education. The transparent connection of learning outcomes and necessary competencies to achieve learning outcomes, as well as the shift of focus from teachers to students, enables students to find their way of improving competencies and taking responsibility for their learning. Learning outcomes are best understood by viewing them as a series of valuable processes and opportunities that can be applied in different ways in different areas of teaching and learning. The emphasis is on defining the learning outcomes so that we use the students’ experience and pay less attention to the content of the subjects of a specific curriculum. The data from this research indicate that learning outcomes impact assessment if they are adequately linked to competencies. Students can monitor their progress and take responsibility for it. The primary outcome of this research is that assessment aligned with progress in students’ competencies and their connection to learning outcomes will certainly improve learning.

Introduction: Ascaris lumbricoides is a widely spread helminthic infection, predominantly affecting children, making them the most commonly infected population group. The objective of this study is to assess the prevalence of Ascaris lumbricoides infestation in two municipalities, Tešanj and Maglaj, and to investigate the occurrence of Ascaris lumbricoides infections in the pediatric population, focusing particularly on preschool children. Materials and Methods: The study involved the collection of 1409 fecal samples from the Tešanj and Maglaj areas, gathered over a 6-month period, spanning from September 2018 to February 2019. The processing of these samples was conducted in the Microbiology Laboratory of Tešanj General Hospital. Results: Out of the total 1409 samples, 129 (9.16%) tested positive for Ascaris lumbricoides infestation. In Tešanj, where 1198 samples were collected, 106 (8.85%) tested positive, while in Maglaj, 211 samples were collected, with 23 (10.9%) testing positive. Notably, the majority of positive cases in both Tešanj and Maglaj were preschool-age children, accounting for 88.68% and 86.96%, respectively. The study did not identify any statistically significant correlation between age and gender distribution among those with positive test results in either Tešanj or Maglaj. Conclusion: Based on the study results, which have highlighted the infestation of preschool children with Ascaris lumbricoides in two municipalities in our country, it is imperative to implement preventive measures aimed at reducing the incidence of infection.