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Abstract

Here conducted is research into functional parallels within Ukrainian and Polish media lexicography. The analysis of non‑vocabularies in the context of the functional‑stylistic approach, so dominant in modern times, is updated. In the information age, lexicography has become an interdisciplinary, syncretic and innovative field of academic knowledge, testing the experience of several academic disciplines, primarily linguistics, semiotics and computer science / cybernetics. The purpose of our article is to create a model for a new media dictionary (of a discursive and functional type), which would meet the requirements of the times and the practical needs of a 21st‑century user. Here lies the matter of superimposing the Ukrainian and Polish experience of modern progressive changes in media lexicography as an innovative method for the creation of dictionaries. The complex screening of neo‑lexicography in the field of the media in Ukraine and Poland is presented, the functional criteria for the analysis of media innovations and their representation in dictionaries are defined, while the prospects of the cooperation of lexicographers on e‑dictionaries are outlined. The authors see in the Polish‑Ukrainian media lexicographic disposition, evolutionary changes on the way to the creation of a dictionary that would reflect the dynamic language processes within mass communication.
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Authors and Affiliations

Лариса Шевченко
1
ORCID: ORCID
Дмитро Сизонов
1
ORCID: ORCID

  1. Київський національний університет імені Тараса Шевченка
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Abstract

The problem of lithium-ion cells, which degrade in time on their own and while used, causes a significant decrease in total capacity and an increase in inner resistance. So, it is important to have a way to predict and simulate the remaining usability of batteries. The process and description of cell degradation are very complex and depend on various variables. Classical methods are based, on the one hand, on fitting a somewhat arbitrary parametric function to laboratory data and, on the other hand, on electrochemical modelling of the physics of degradation. Alternative solutions are machine learning ones or nonparametric ones like support-vector machines or the Gaussian process (GP), which we used in this case. Besides using the GP, our approach is based on current knowledge of how to use non-parametric approaches for modeling the electrochemical state of batteries. It also uses two different ways of dealing with GP problems, like maximum likelihood type II (ML-II) methods and the Monte Carlo Markov Chain (MCMC) sampling.
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Authors and Affiliations

Adrian Dudek
1
ORCID: ORCID
Jerzy Baranowski
1
ORCID: ORCID

  1. Department of Automatic Control and Robotics, AGH University of Science and Technology, Kraków, Poland
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Abstract

Every decision or action taken as part of a construction project involves risk. Unforeseen branch works that may occur during the construction investment are the so-called additional work. They cause risk, both for the contractor and the investor. Skilful management of this risk may lead to minimizing the change in the investment duration or minimizing the change in the cost of the contractual amount. The work proposes a method of analysing the risk of industrial works that may occur during additional works in railway construction investments. A constructed Bayesian network based on the risk component of industrial works was used for the analysis. Bayesian networks are listed as one of the 31 techniques suggested for risk analysis in accordance with the ISO 31010 standard, which enables the correct analysis of the examined problem with satisfactory accuracy. During the construction of the network, historical data was obtained from completed and settled railway infrastructure construction projects, and 125 unique records corresponding to additional works were identified. The created Bayesian network combines technological aspects resulting from the specificity of the implementation of branch works in railway construction projects with a practical assessment of their risk. The proposed network model allows for risk analysis by defining various event scenarios, and has high application capacity resulting from the ease of applying its results in practice in the implementation of railway investments.
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Authors and Affiliations

Agnieszka Lesniak
1
ORCID: ORCID
Filip Janowiec
2
ORCID: ORCID
Jorge Rueda Benavides
3
ORCID: ORCID

  1. Cracow University of Technology, Faculty of Civil Engineering, ul. Warszawska 24, 31-155 Cracow, Poland
  2. Cracow University of Technology, Faculty of Civil Engineering, ul. Warszawska 24, 31-155 Cracow,Poland
  3. Auburn University, College Of Engineering, Department of Civil and EnvironmentalEngineering, 238 Harbert Center, Auburn, AL 36849 USA

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