The purpose of the work is to establish a relationship between the enterprise's practice of providing financial data and the investors' opinion about the enterprise as well as to predict whether the enterprise will be inclined to cheat while providing its financial data in the future. To reflect the investors' opinion about an enterprise, the parameters of skew tdistribution and stable distribution calculated from stock data (close and volume) have been used. The obtained preference area, the parameters (calculated from close and volume stock price data) of the distributions and the indicators representing the present have been employed as Random Forest inputs in predicting the direction of the change in future Accounting & Governance Risk (AGR) rating, which defines the change in the risk of provision of financial data, i.e., whether the risk will increase or decrease. As it has been revealed by the selection of features, stable distribution parameters better reflect the amplitude of the change in stock prices, while the investors' preference area, drawn on the basis of skew t-distribution parameters, has reflected the discrepancy between the investors' expectations and the enterprise's actual value. The same most important selected features have been found to be equally well applicable in describing enterprises characterised by the tendency for AGR rating to rise as well as those characterised by the tendency for AGR rating to drop, or describing both those groups of enterprises collectively.

Distributed parameter arterial tree model, based on transmission line theory is proposed. Adequacy of the model is confirmed using noninvasive "in vivo" ultrasound Doppler images. Ultrasound measurements in three characteristic locations of human arterial tree are performed. Comprised model enables to acquire typical blood flow time functions in 40 arteries. Parameters of the model are related to relevant geometrical and mechanical arteries properties. The model can be used in the research into the influence of blood vessel mechanical parameters on the form of flow time function as well as when estimating possibilities of diagnostics of blood flow system lesion.

The paper presents an initial investigation into the energy and operational parameters of three LED modules produced by a little-known producer. The paper considers the requirements of Standards TM-21-11 and LM-80-08 applicable in measuring lumen maintenance life, as well as the requirements for temperature in measuring illuminance. The investigation introduces the structural schemes for measuring the efficiency coefficient of the AC/DC converter of LED modules and provides the obtained measurement results. The performed measurements show that the efficiency coefficients of the AC/DC converters of the examined LED modules amount to 52 %±3.5 %. According to the experimental results obtained after measuring illuminance, the established average lumen maintenance life L70 is 2,817 hours.

No abstract

No abstract