Renaissance educational guidelines of the «Ideal governor» training in «Song of the bison» by Belarusian thinker Mykola Husovsky

The article is devoted to the coverage of the main Renaissance educational guidelines for the training of the «ideal governor» in the «Song of the bison» by Belarusian thinker Mykola Husovsky, who lived in  the XV – XVIth centuries. In particular,  author's allusions and metaphors of the words «bison» and «ideal governor», «forest dwellers»  and society were analyzed. It was characterized the  author 's ideas about the statesman' s training  including the necessity of the  development of integrity, sincerity, moderation, wisdom, justice etc of a student . At the same time, it was found that a representative of the East Slavic ethno-cultural environment Husovsky was concentrated  on a common European humanistic mainstream. This is specified in the inheritance of titles and regalia, honor and high morality, aesthetization and liberalization of educational influences on the individual in the conditions of constant independent hard work over the representatives of the political establishment of that time in Europe

Neural Networks for Gas Turbine Diagnosis

The present chapter addresses the problems of gas turbine gas path diagnostics solved using artificial neural networks. As a very complex and expensive mechanical system, a gas turbine should be effectively monitored and diagnosed. Being universal and powerful approximation and classification techniques, neural networks have become widespread in gas turbine health monitoring over the past few years. Applications of such networks as a multilayer perceptron, radial basis network, probabilistic neural network, and support vector network were reported. However, there is a lack of manuals that summarize neural network applications for gas turbine diagnosis

Transforming visitor experience with museum technologies: The development and impact evaluation of a recommender system in a physical museum

Over the past few decades, many attempts have been made to develop recommender systems (RSs) that could improve visitor experience (VX) in physical museums. Nevertheless, to determine the effectiveness of a museum RS, studies often encompass system performance evaluations, e.g., user experience (UX) and accuracy level tests, and rarely extend to the VX realm that museum RSs aim to support. The reported challenges with defining and evaluating VX might explain why the evidence that the interaction with an RS during the visit can enhance the quality of VX remains limited. Without this evidence, however, the purpose of developing museum RSs and the benefits of using RSs during a museum visit are in question. This thesis interrogates whether and how museum RSs can impact VX. It first consolidates the literature about VX-related constructs into one coherent analytical framework of museum experience which delineates the scope of VX. Following this analysis, this research develops and validates a VX instrument with cognitive, introspective, restorative, and affective variables which could be used to evaluate VX with or without museum technologies. Then, through a series of UX- and VX-related studies in the physical museum, this research implements a fully working content-based RS and establishes how the interaction with the developed RS transforms VX. The findings in this thesis demonstrate that the impact of an RS on the quality of VX can depend on the level of engagement with the system during a museum visit. Additionally, the impact can be insufficient on some mental processes within VX, and it can vary following the changes in contextual variables. The findings also reinforce that system performance tests cannot replace a VX-focused analysis, because a positive UX and additional information about museum objects in an RS do not imply an improved VX. Therefore, this thesis underscores that more VX-related evaluations of museum RSs are required to identify how to strengthen and extend their influence on the quality of VX