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.

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.

—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.

Interaction channels are special opportunities to improve customer satisfaction by offering a consistent problem-solving experience. Contact center employees are the link between the company and the customer. They are responsible for maintaining an appropriate relationship between the company and the customer. So, they are personally responsible for the customer experience. In this paper, we present an objective evaluation method for evaluating customer-agent interaction, i.e., evaluating the effectiveness of the realization of customer requests from calls. The evaluation method is automatic and does not depend on the relationship between the call center manager and the employees. The motivation for evaluating calls stems from the key performance characteristics of a contact center, of which we particularly emphasize service time, first call resolution, handling time, and others.

Background: Globally, life expectancy is increasing, leading to an equal proportion of elderly and young individuals, which carries extensive implications. In Bosnia and Herzegovina (BiH), the average age at death in 2021 was 77 years, positioning BiH in the middle of the global list of average life expectancy. Current studiesinvestigate whether the prevalence of psychiatric disorders increases or decreases with age, but results are inconsistent regarding the role of age.There is no prior research on mental disorders in the elderly population in BiH. The experience of the previous war in BiH and the post-war complex “transitional period” have been associated with specific challenges to the mental health of this population, inspiring our research topic. Objective: The aim of this study was to investigate the psychiatric morbidity in hospitalized individuals aged≥55 years. Methods: The sample consisted of all patients over age 55 treated at the Department of Psychiatry in Tuzla between January 2018 and December 2020 (N=637), divided into four age categories. Data were obtained from medical records, and for research purposes, a specific questionnaire was constructed. Results: The predominant psychiatric morbidity stemmed from the category of affective disorders, most common within the “55-64 years” age group, while organic mental disorders were more prevalent in other age groups.Substance use disorders were present in patients aged “55-64 years”, with a sharp decline in their prevalence in older age. Female participants had a significantly higher prevalence of affective, psychotic, neurotic, and stress-related disorders, whereas male participants exhibited an increased prevalence of organic mental and substance use disorders. Conclusion: In total sample, the most prevalent diagnoses belong to the category of affective disorders. Female were most frequently diagnosed with affective disorders, whereas organic mental disorders and substance use disorders prevail in male.

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.

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.

The constant developments in the area of accounting information systems unlock a wide area for contributing to the existing theory in the field of accounting information systems. Particularly in the case of the Federation of Bosnia and Herzegovina, where the benefits that the use of AIS brings with it, are not yet well recognized. The purpose of this research is to analyze the overall situation in the FBiH regarding the use of AIS in companies and its impact on strategic decisionmaking. Data is collected through surveys that were distributed to the companies in FBIH. Multinomial logistic regression was used to analyze the data. Research findings indicate that the industry sector and satisfaction with AIS are found to be statistically significant predictors of the probability of decision-making based on AIS and that accounting information is indispensable in the process of strategic decision-making, especially when it comes to the company's growth, investments, and borrowing.

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.

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.