The article is devoted to the study of the relationship between a country's macroeconomic stability and the level of transparency and public trust in the financial sector and public authorities. Canonical analysis and structural modeling served as methodological tools of the research. The study examined the data from eight EU countries (Austria, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Hungary, Czech Republic, and Italy) over the 2011-2021period. Eight indicators of public sector transparency and one indicator of the degree of public trust (Consumer Sentiment Index) were chosen to establish the relationship between the components. The results of structural modeling proved that public trust has a much greater impact on macroeconomic stability than indicators of public sector transparency. A 1-point increase in public trust leads the GDP to increase by 0.018% and the stability of the currency exchange rate – by 0.352%. Meanwhile the same effect from a 1-point increase in the level of public sector transparency amounts to 0.061% and 0.021% increases, respectively.

In this study, a novel approach for measuring the velocity of a wheel is proposed. The paper specifically focuses on determining wheel dimensions such as radius, diameter, or circumference in order to calculate speed. The proposed algorithm can be used where the exact dimension of the wheel is unknown or difficult to measure. This article presents the use of the proposed solution for measuring the speed of rollers that move the belt on a training treadmill. The originality of approach presented in this paper is confirmed by patent number WO2022089764A1.