This paper examines the complex landscape of digital currencies, non-fungible tokens (NFTs), and distributed ledger technology (DLT), focusing on their implications within the accounting and financial reporting sector. The surge in popularity of these assets has brought about reporting challenges and complexities. The lack of comprehensive accounting standards and the digitization of financial reporting processes further compound the situation. These challenges underscore the need to update accounting practices to align with the security and transparency offered by DLT. The study examines the International Financial Reporting Standards (IFRS) for digital currency reporting, analysing their implications and potential solutions for the accounting community. Central to this exploration is the question: How can the accounting sector navigate the multifaceted challenges and harness the multifarious opportunities that stem from digital currencies, NFTs, and DLT? Using a comprehensive research approach, including a literature review, empirical analysis, case studies, and comparative analysis, this study identifies strategies for managing the reporting complexities of digital assets. It also highlights the importance of collaborative dialogue between stakeholders and regulators to ensure consistency in an evolving landscape. This paper guides the accounting and investment sector in making informed decisions, fortified by a nuanced understanding of the evolving digital asset terrain.

Background: Basal cell carcinoma (BCC) is the most common nonmelanoma skin cancer. Although there has been a noticeable increase in incidence over the last decades, the exact incidence is difficult to establish, because data and cancer registries are heterogeneous among countries. Objective: The study aimed to analyze the recent clinical trends of basal cell carcinoma by reviewing a six-year single institution’s experience. Methods: A total number of 582 patients with histologically diagnosed BCC were included in the study. All relevant data were collected from medical records and patients, using short questionnaire. Results: BCC was slightly more common among the male population with female to male ratio of 1:1.24. At the time of diagnosis, male patients were statistically significantly older (70.47±11.9 years) compared to female patients (67.64±12.22 years) (p=0.005). The most common types of BCC were nodular (51.64%) and superficial (25.95%), affecting most commonly the head and neck region (71.2%). Relative risk (RR) for development of BCC is 2.79 times higher in sun-exposed skin areas (p<0.001). Conclusion: Sun exposure remains one of the most important risk factors for the development of BCC, with episodes of sunburns, occupational and recreational risks noted among the majority of patients. Although non-fatal disease, due to morbidity and high frequency, prevention and early diagnosis are important to prevent further increase in the incidence of BCC among the population.

Fine motor skills are a good indicator of a child’s overall development. They underpin almost all everyday activities from self-care skills such as dressing to academic skills such as writing and drawing. In this study we examined the development of fine motor skills of early elementary school children. The sample for this study consisted of 175 children (93 boys, 82 girls, mean age= 120 months; SD = 10.7 months). attending 3rd, 4th, and 5th grades. We used Grooved Pegboard test for measuring fine motor skills. We found a medium, statistically significant, correlation between age and motor skills, with stronger correlation at younger age. In relation to child’s grade, there were statistically significant differences in motor skills between children attending 3rd and 4th grade, but no differences between children in 4th and 5th grade. As for the gender, there were no mean differences between boys and girls in the 3rd grade, but there were differences in 4th and 5th grade with girls achieving statistically significantly better scores on Grooved Pegboard test. Fine motor skills should routinely be examined in children and appropriate remediation programs should be set if a child falls behind in motor skills. We concluded a paper with several ways how elementary schools can include fine motor exercises in their curricula.

During vibrations, the structure passes through different behavior areas (elastic or inelastic). Different areas of behavior correspond to different approaches to analysis and design. Modeling vibrations as a phenomenon includes its presentation in the form of a mathematical model, with certain parameters specific to the system, which define and control the vibration process itself, namely mass, stiffness and damping. While mass and stiffness can be more accurately described mathematically, damping modeling involves the state and medium in which the system resides. Due to differences in understanding of the state variables that control damping forces, there is still no single accepted model of damping. The wrong selection of damping model in the dynamic analysis of structures can result in the response of the structure being underestimated, which can be the cause of the collapse of the structure. The paper analyzed the response of the bridge structure to pedestrian excitation, applying different numerical damping models and the damping determined experimentally. At the end of the paper, a comparative analysis with conclusions is given.

Two main types of cardiac amyloidosis (CA) exist, as a result of either aberrant plasma cell production of misfolded monoclonal light chains, known as immunoglobulin light chain amyloidosis (AL), or production of disintegrated and misfolded transthyretin (TTR) proteins by the liver, also called transthyretin amyloidosis (ATTR). Non-invasive diagnostics (cardiac uptake on diphosphonate scintigraphy, Perugini score 2 or 3) have gained prominence in modern cardiology in correlation with the negative findings of free light chains in serum and the results of negative immunofixation in serum and urine. Additionally, criteria related to echocardiography or cardiac magnetic resonance are necessary for establishing a diagnosis. A total of 3.063 99mTc-MDP bone scintigrams were analyzed between August 2018 and March 2023, of which Perugini score 1 was validated in 13 patients, Perugini score 2 in 10 patients and Perugini score 3 in 1 patient. From our experience, we could observe that cardiac uptake can be verified in daily clinical practice and that is meaningful for monitoring patients with ATTR-cardiomyopathy (ATTR-CM). Although the sample size is not large, the importance of the study lies in the fact that it involves patients whose findings have been incidentally verified. If patients are selected according to clinical characteristics, the number of positive findings may potentially increase. Our study aimes to raise awareness among physicians of various specialties about the significance of the diagnostic algorithm for infiltrative cardiomyopathies. This is to ensure early diagnosis of this problem and initiation of treatment in the earliest stages when the therapeutic effect is most optimal. Such an approach would yield benefits for both patients and the entire healthcare system. A meticulous diagnostic and therapeutic approach is therefore fundamental for improving clinical outcomes in patients with ATTR-CM, including careful attention to specific TTR genetic variants and long-term follow-up.

Background/Aim: The aim of this study was to determine the accuracy of overall and anterior Bolton's ratio measurements obtained with an intraoral scanner compared to standard caliper measurements on plaster models. Material and Methods: This study included 33 subjects (18 female and 15 male), aged 12 to 18 years. All subjects were taken impression for the purpose of making study plaster models. In addition, all subjects underwent intraoral scanning for the purpose of creating digital models. Tooth width was measured with a caliper on plaster models, while digital models were analyzed using Cerec Ortho SW 2.0.2 software. The overall and anterior Bolton ratios were derived using both methods. Statistical data processing was performed using an independent t-test. Results: The results obtained using these two methods for measuring the anterior and overall Bolton ratio showed that there was no statistically significant difference in the measurements obtained on plaster models and the measurements obtained by intraoral scanning. For the overall Bolton ratio, T-test was 0.828 and is not statistically significant (p<0.05). The value of T-test for the anterior Bolton ratio was 0.001 and it was also not statistically significant (p<0.05). Conclusions: Determination the overall and anterior Bolton ratio using an intraoral scanner is an accurate and acceptable method for clinical work in orthodontics.

Paper presents a model for the optimization of primary milk production in the hillymountainous regions of the Republic of Serbia. The goal of creating the model is to demonstrate and analyze the conditions and outcomes of production at the farm, while to find the optimal production structure, considering the organizational, economic, technical, and technological circumstances in which the farm performs its agricultural activities. The model is based on the linear programming optimization method. A mathematical model, or objective function, was established, and constraints were identified. A logical model was created for optimization. The main goal of solving the linear programming problem is to find the maximum or minimum of the objective function. In presented model, the task is to maximize the objective function, what is represented by the farm's net income. By using the linear programming, it is possible to determine the optimal quantities of resources and products to maximize net income, while adhering to resource constraints and other relevant factors.

This study focuses on the theoretical analysis of the application of modeling and mathematical, particularly linear programming, in managerial processes within the agro-industrial complex. The authors have dedicated themselves specifically to defining planning processes, classifying models, and organizing production structures, including vertical and horizontal structures. Despite the fact that the benefits of linear programming have been proven, it is still not widely accepted and applied in our region. The reasons for this can be found in the relative complexity of the process, both in creating logical and mathematical models, and in interpreting results. Although there are specialized software and add-ons such as Solver in MS Excel, they are still not accessible enough to a wider range of users in the agro-industrial sector. It is evident that there is a need for the development of new specialized software solutions with user-friendly interfaces, which would make them more accessible, primarily to advisors, and then to agricultural producers.