The aim of this paper is to estimate economic consequences of an LDA (Left displaced abomasum) treated cow. After a surgery to correct this displacement, cows had a lower average milk yield, lower reproduction characteristics, and consequently a lower number of lactation cycles, less calves, longer period between calving, compared to other cows. We will use breeding simulation with the help of a constructed function to describe the price aspects. Knowledge of analysis of diary milk-yield production, probability of survival, and ability to reproduce will be used. The Arena software will be used for the simulation. The main goal is to estimate the lifelong profit of an individual cow from a group of healthy cows and an individual cow from a group with LDA disease.

The paper is part of a broader study to utilize some hypotheses, methodologies and tools from Computational Aesthetics, the foundations of which were created in C.R. Shannon's "The Mathematical Theory of Information". Using the basic ideas of computational aesthetics, a picture can be seen as a message. Cybernetic aesthetics introduces information flow to describe perceptible information. Further cybernetic aesthetic proposes characteristics for conspicuity and intelligibility of artwork. In the sample survey, using these variables, we try to measure the quantity of perceptible information in the image. In the literature, human perceptual capacity values are reported close to 15 bits per second. Our aim will be to verify this information. We will do our study with 200 responses of 35 respondents, where we will measure their ability to perceive different elements in M.C. Escher's "wallpaper" paintings. Part of the study will be a statistical evaluation of the measurement.

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The aim of our paper is to understand the price behavior of artworks, mainly graphics sold in one selected Czech auction house. The publicly available information obtained from internet auction systems provide price time series of monitored painters works. We focused on the prediction of the price development using linear regression methods. Approach presented in our paper provided finding an artist whose painting prices are rising statistically significantly. We worked with a dataset of total of 398 paintings by 10 Czech painters. Authors with at least 11 auctioned paintings will be used for statistical analysis. We did not focus on art auctions with the most expensive paintings, but on paintings and graphics that are affordable for the general population. The graphics dominated the data collected. The goal of our study is to estimate the annual change in works of art in the Czech Republic and compare with respect to inflation in the period from 2014 to 2020. In the final discussion, an assessment of the further price development of works of art is also discussed.