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Applied Sciences
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Selected Papers from 4th Central European Symposium on Thermophysics (CEST2022)
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Selected Papers from 4th Central European Symposium on Thermophysics (CEST2022)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 2732

Special Issue Editors

Dr. Anton Trník

E-Mail Website1 Website2
Guest Editor
1. Department of Physics, Faculty of Natural Sciences, Constantine the Philosopher University in Nitra, 94974 Nitra, Slovakia
2. Department of Materials Engineering and Chemistry, Faculty of Civil Engineering, Czech Technical University in Prague, 16636 Prague, Czech Republic
Interests: ceramic and building materials; thermophysical and mechanical properties; thermal analysis
Special Issues, Collections and Topics in MDPI journals
Dr. Zbigniew Suchorab

E-Mail Website
Guest Editor
Faculty of Environmental Engineering, Lublin University of Technology, 40B Nadbystrzycka Str., 20-618 Lublin, Poland
Interests: time domain reflectometry; material moisture; apparent permittivity; non-invasive sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue mainly aims to honor the extraordinary works of professional scholars or experts who attend the 4th Central European Symposium on Thermophysics (CEST2022) in Olomouc, Czech Republic. It provides discussions on specialized topics from academic and industrial research and exchange invaluable experiences in the field of thermophysical properties in a broad sense. This Special Issue covers several topics as below:

  • Thermophysical properties and testing methods;
  • Thermal performance, thermal insulation materials, PCM materials, composite materials;
  • Hygrothermal behavior of materials, moisture-related problems;
  • Applications of temperature, humidity, moisture and other thermal measurements;
  • Climate and weather applications;
  • Applied thermal energy, heat transfer;
  • Energy and environment, energy management, energy efficiency, cogeneration and trigeneration;
  • Modern energy technologies and sources, energy storage, energy power, energy conversion
  • Internal combustion engines, electrical machines;
  • Cooling systems, air conditioning
  • Hydro energy, fluid mechanics, nuclear energy, alternative energy, micro and nano-energetics.

The conference papers accepted for potentially publishing in the journal must be original and will be referred to a high standard. They may include new research findings, together with developments in design methodology and fabrication techniques. Conferences must be significantly extended in length at least by 50% in the Applied Sciences template. Hence, compared to the original conference paper, it must contain new results not described in the conference paper and not published elsewhere so far. All manuscripts are thoroughly refereed through a single-blind peer-review process.

Dr. Anton Trník
Dr. Zbigniew Suchorab
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

19 pages, 4742 KiB  
Article
Application of Dimensionality Reduction and Machine Learning Methods for the Interpretation of Gas Sensor Array Readouts from Mold-Threatened Buildings
by Grzegorz Łagód, Magdalena Piłat-Rożek, Dariusz Majerek, Ewa Łazuka, Zbigniew Suchorab, Łukasz Guz, Václav Kočí and Robert Černý
Appl. Sci. 2023, 13(15), 8588; https://doi.org/10.3390/app13158588 - 26 Jul 2023
Cited by 1 | Viewed by 899
Abstract
Paper is in the scope of moisture-related problems which are connected with mold threat in buildings, sick building syndrome (SBS) as well as application of electronic nose for evaluation of different building envelopes and building materials. The machine learning methods used to analyze [...] Read more.
Paper is in the scope of moisture-related problems which are connected with mold threat in buildings, sick building syndrome (SBS) as well as application of electronic nose for evaluation of different building envelopes and building materials. The machine learning methods used to analyze multidimensional signals are important components of the e-nose system. These multidimensional signals are derived from a gas sensor array, which, together with instrumentation, constitute the hardware of this system. The accuracy of the classification and the correctness of the classification of mold threat in buildings largely depend on the appropriate selection of the data analysis methods used. This paper proposes a method of data analysis using Principal Component Analysis, metric multidimensional scaling and Kohonen self-organizing map, which are unsupervised machine learning methods, to visualize and reduce the dimensionality of the data. For the final classification of observations and the identification of datasets from gas sensor arrays analyzing air from buildings threatened by mold, as well as from other reference materials, supervised learning methods such as hierarchical cluster analysis, MLP neural network and the random forest method were used. Full article
(This article belongs to the Special Issue Selected Papers from 4th Central European Symposium on Thermophysics (CEST2022))
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12 pages, 1546 KiB  
Article
Toxic and Biodegradation Potential of Waste Tires for Microorganisms Based on Two Experimental Designs
by Klára Kobetičová, Jan Fořt and Robert Černý
Appl. Sci. 2023, 13(8), 4871; https://doi.org/10.3390/app13084871 - 13 Apr 2023
Cited by 2 | Viewed by 1385
Abstract
Waste tires from traffic are a well-known environmental problem today. For this reason, the toxicity and potential biodegradation of crushed tires were tested in a respiration test with microorganisms. A non-specific soil microbial community was used. Two experimental designs and their effect on [...] Read more.
Waste tires from traffic are a well-known environmental problem today. For this reason, the toxicity and potential biodegradation of crushed tires were tested in a respiration test with microorganisms. A non-specific soil microbial community was used. Two experimental designs and their effect on the results were compared—a test with the eluate from tires and a contact test, i.e., the solution containing tire particles during the test. The consumption of dissolved oxygen was measured in the assay over 28 days. The values obtained indicated zero biodegradation of all samples, but the toxicity of the eluates to microorganisms was different depending on whether the microorganisms were exposed only to the leachate or whether tire shred particles were still present in the leachate. In the presence of particles in solutions, the toxicity of the samples for microorganisms was higher. Additionally, the MTT (methyl tetrazolium test) viability assay was performed. The results indicated a 28% inhibition of the viability of microorganisms in samples with tire particles in comparison with eluate, where 9% inhibition was observed. The results confirmed that the contact assay (with the presence of particles) is a more natural and thorough method than the use of leachate. Full article
(This article belongs to the Special Issue Selected Papers from 4th Central European Symposium on Thermophysics (CEST2022))
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