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Publications - 6273

SUSTAINABILITY RELATED VALUES IN FAMILY-FRIENDLY ORGANIZATIONS

Anna Pátkai Bende Julianna Fejes-Nádai Anna PÁTKAI Bende

Publication Name: Journal of Community Positive Practices

Publication Date: 2025-01-01

Volume: 25

Issue: 1

Page Range: 34-43

Description:

The focus of the study is to examine the set of values of family-friendly organizations in Hungary. The study highlights the importance of organizational values as a fundamental part of corporate culture, which can be a major competitive advantage for companies. Values at the organizational level not only influence employees’ behaviour but also play an important role in strategic decision-making. Based on the results of a questionnaire survey carried out in spring 2023, this study demonstrates, which values dominate among organizations with the label Family-Friendly Workplace in Hungary and which are the priorities that influence their decisions. The research is meant to prove that a number of values related to social and environmental sustainability are considered in the basic principles of the organizations involved in the survey. They regard the family, support for families and work-life balance as core values. Beside family-related values, other important principles are included, such as equal opportunities, social responsibility and support for disadvantaged social groups. In addition, environmental sustainability and environmental awareness are strongly reflected in the values of family-friendly organizations.

Open Access: Yes

DOI: 10.35782/JCPP.2025.1.02

Impact of process gases on wettability and adhesive bond strength of laser- treated DC01 steel and plasma-treated polypropylene surfaces

Eszter Kókai

Publication Name: Journal of Adhesion

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study investigates how different process gases (air, argon, and nitrogen) influence the wettability and adhesive bond strength of DC01 steel and polypropylene surfaces treated by laser and plasma methods. The aim was to clarify how gas composition and processing parameters affect surface activation and whether contact angle measurements alone can explain adhesive performance. On DC01 steel, laser treatment significantly reduced water contact angles, achieving full wetting at specific power and scanning speeds. However, lap shear testing showed that a 0° contact angle did not always result in the same bond strengths. Argon-treated samples consistently provided the highest shear strength. For polypropylene, plasma activation improved both wettability and bonding. Nitrogen plasma lowered contact angles from 63° on untreated surfaces to 14° at 200 mm/min and 9° at 400 mm/min, producing the strongest joints. This study is one of the first to systematically compare the effects of different gases on metals and polymers, linking wettability and mechanical testing to offer practical guidance for optimizing process parameters for strong and reliable adhesive joints.

Open Access: Yes

DOI: 10.1080/00218464.2025.2595302

Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) Method: A Comprehensive Bibliometric Analysis

Dragan Pamucar Abdelhakim Abdelhadi Seifedine Kadry Gülay Demir Prasenjit Chatterjee

Publication Name: Decision Making Applications in Management and Engineering

Publication Date: 2024-01-23

Volume: 7

Issue: 2

Page Range: 313-336

Description:

This paper explores the evolution, applications, and prospective developments of a very popular multi-criteria decision-making (MCDM) method called Measurement of Alternatives and Ranking according to COmpromise Solution Method (MARCOS). Employing an extensive bibliometric analysis, the study examines 115 pertinent papers sourced from the Scopus database spanning over the years from 2020 to 2024. This study also provides an evaluation of the methodological significance and outlines potential future directions of MARCOS method. The outcomes indicate "Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS)" by Stević et al. (2020) as the most cited paper. Journals such as "Sustainability (Switzerland)", "Mathematics" and "Expert Systems with Applications" stand out among the most cited journals. "University of East Sarajevo" is an institution distinguished for its prolific research in this field. "Stević Ž." Has been identified as the most cited and published author. The most frequently used keywords are "MARCOS", "MARCOS method", and "MCDM". CRiteria Importance Through Intercriteria. Correlation (CRITIC) method is a weighting model often integrated with MARCOS method. The results of the study provide researchers and practitioners in the field of MCDM with an important insight into the current state of the MARCOS methodology, highlighted studies and potential future developments. It also provides a comprehensive overview of the importance of this method in the multi-criteria decision-making literature, shedding light on future research directions.

Open Access: Yes

DOI: 10.31181/dmame7220241137

The social cost of ill health among the working-Age population in 2019 in Hungary

Petra Fadgyas-Freyler Zsófia Kollányi Tamás Joó József Vitrai

Publication Name: Orvosi Hetilap

Publication Date: 2024-01-21

Volume: 165

Issue: 3

Page Range: 110-120

Description:

Introduction: We have quantified the healthy life years lost and the costs incurred in 2019 due to the poor health of the Hungarian population aged 30-64 from a societal perspective, but also from the perspective of several other social actors, calculating the indirect costs according to the human capital approach. Objective: The aim of our estimate is to shed light on the radically high losses that Hungary incurs year after year as a result of its inhabitants living significantly shorter and sicker lives than people in similar situations in other countries. Method: In the first part of the analysis, we aggregated the time lost due to illness and disability for the age group 30-64 in 2019. The aggregated Hungarian values for the studied age group were compared with the corresponding values for the Visegrad countries, Austria and the European Union. The second part of the analysis aggregates the social costs of time spent in ill health. A distinction is made between direct costs, which involve the movement of money, and indirect costs, which are embodied in lost income or production. Results: In Hungary, the nearly 4.8 million people aged 30-64 spent a total of 654,000 years on sick leave in 2019, which equated to an average of about 50 days per person. This means 14% of the total number of working days could have been working days in good health. The direct costs, i.e., the expenditure of the Health Insurance Fund and the expenditure financed by patients and voluntary insurance, amounted to HUF 1,446 billion. Indirect costs, i.e., expenditure due to the loss of working years as a result of premature death and illness, represented a further burden of HUF 2,279 billion. Conclusion: In 2019, the direct and indirect expenditure of people aged 30-64 amounted to HUF 3425 billion, or 7.21% of the GDP. It is well known that in developed countries, including Hungary, the greatest health losses are caused by non-communicable chronic diseases, which can be prevented by a healthy lifestyle. Therefore, the promotion of healthy lifestyles and the creation of a conducive physical and social environment are essential for improving the country s competitiveness.

Open Access: Yes

DOI: 10.1556/650.2024.32955

Impact of Fuzzy Number Shapes and Aggregation Techniques on Evaluation Results via Fuzzy Signatures in Higher Education Accreditation

Adam Schiffer Jozsef Hegedus Hatwagner F. Miklos Koczy T. Laszlo

Publication Name: Cinti 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 569-574

Description:

Ensuring objectivity in expert-based educational program evaluations remains challenging due to inherent subjectivity and uncertainty of the assessment processes. In this study, we apply fuzzy signature models to address these issues within the evaluation framework of the Hungarian Accreditation Committee (MAB). A generalized fuzzy signature structure was developed, that supports discrete answer categories and hierarchical question groups. We systematically investigated how key parameters-fuzzy number shape, aggregation operators, and defuzzification methods-affect final evaluation outcomes. Two types of fuzzy coverage sets (core-based and support-based) were tested across multiple configurations using simulated data (k=100,000) aligned with typical expert response distributions. Statistical analysis, including paired t-tests and normality tests, revealed that the Largest of Maximum (LoM) defuzzification method combined with arithmetic mean aggregation and a core-to-support ratio of 0.75 yielded the highest classification accuracy (83.77%) and the most stable results. Core-based (Type 1) coverage consistently outperformed support-based (Type 2) coverage in 98% of tested configurations. These findings provide practical guidance for the design of robust and interpretable fuzzy evaluation systems and support the development of more transparent quality assurance tools in higher education. This work goes beyond mere comparison by systematically analyzing the sensitivity of fuzzy evaluation systems to parameter choices, which is critical for robust system design of accreditation models.

Open Access: Yes

DOI: 10.1109/CINTI67731.2025.11311757

Pathway Optimization for Low-Carbon Plastic Waste-to-Hydrogen Production with Flexible Feed Composition Using a Regression Model

Viknesh Andiappan Bing Shen How Selena Kian Yii Song Ferenc Friedler

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 120

Issue: Unknown

Page Range: 169-174

Description:

Conversion of plastic waste into hydrogen is a potential solution to address the issues of growing demand for hydrogen and the massive accumulation of plastic waste simultaneously. However, most studies on plastic-to-hydrogen technology selection were based on predetermined plastic waste composition, limiting their applicability to dynamic real-life operations. To address this, this work introduces a flexible optimisation model capable of accommodating varying compositions of plastic waste. With the aid of regression models, the optimisation model can optimise the plastic-to-hydrogen production pathways, considering economic and environmental performances, without the constraints of specific plastic waste types or mixture compositions. Regression models are developed based on the ultimate analysis data (carbon, hydrogen, nitrogen, oxygen, and sulphur content) to estimate hydrogen yield and purity across various pathways. Thereafter, fuzzy optimisation is employed to identify the trade-off between cost and environmental impact. In addition to the selection of optimal plastic waste-to-hydrogen pathways, the model also considers different purification technologies that can improve the hydrogen purity to various extents. The model demonstrated that pyrolysis-steam reforming combined with PSA is capable of achieving hydrogen purity of 99.999 % with a highest overall satisfaction of 0.7141 (equivalent to total cost of 3.43 M$ and emissions of 528,647 kg CO2/y) while pyrolysis-catalytic decomposition is more suitable to produce hydrogen with lower purity (55 %).

Open Access: Yes

DOI: 10.3303/CET25120029

Performance of PMMA and SBS Modified Asphalt Mixtures in Railway Supplementary Layers and Road Pavements

Szabolcs Fischer Richárd Nagy Şevket Aslan Mohammad Fahad Szabolcs Rosta Furkan Kaya Klaudia Madarász

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2025-01-01

Volume: 53

Issue: 3

Page Range: 334-346

Description:

The use of recycled waste elastic materials provides a cost-effective and environmentally friendly option for further modifying the performance of asphalt mixtures. Therefore, the effects of different proportions of (PMMA) polymethyl methacrylate derived from waste plastic material were evaluated using the Indirect Tensile Strength Test (ITST) of lab-prepared specimens. Since numerous methods of modifying the conventional asphalt binder are available, in this research, the virgin binder was modified with 1%, 2%, 3%, 4% and 5% PMMA for evaluating optimum performance proportions in terms of Marshall stability and ITST of asphalt mixtures. Furthermore, stiffness modulus tests were performed at frequency values of 1.2 Hz, 1.9 Hz, 3.9 Hz and 5 Hz. The effect of the loading rate from 10 MPa/s to 70 MPa/s was evaluated with an increment of 10 MPa/s for all proportions. Moreover, finite element modeling was performed using the data obtained from dynamic modulus tests with modified Burger's Logit model for evaluation of rutting progression. Results show improved performance of asphalt mixtures with the addition of PMMA, leading to variation in properties including penetration, softening point, Marshall stability and rutting resistance. It is recommended to use 5% PMMA for increased indirect tensile strength, Marshall stability, rutting and fatigue damage resistance.

Open Access: Yes

DOI: 10.3311/PPtr.39763

Model Predictive Planning and Control for Naturalistic Automated Driving

Ernö Horváth Gergo Igneczi Krisztian Nyilas

Publication Name: Cinti 2025 IEEE 25th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 45-50

Description:

The evolution of Advanced Driver Assistance Systems (ADAS) has reached a stage of maturity where the social acceptance of these systems is becoming as important as coping with technical challenges. Most users complain that ADAS functions behave unnaturally, and they feel anxious because the driving system behaves in a way that is far from what the user prefers. One of the most controversial ADAS functions is Lane Keeping Assistance (LKA). This system detects the edge of the lane and drives the car actively by intervening on the steering wheel. Most available lane keeping follows the center of the lane, while the vehicle controller oscillates and often deviates from this line. Most people find this operation disturbing and unreliable. In our work, we propose a comprehensive Model Predictive Planner and Control that preserves the basic concept of how human drivers drive: they instinctively create the combined representation of the environment and the vehicle, and predictevely plan their action trajectory (i.e., steering angle). This method does not divide the driving task into planning and control, thereby improving tunability. On the other hand, the method provides direct relation to vehicle dynamics and high-level policies, and therefore it can be validated easier than end-to-end trained functions, such as neural networks. The initial algorithm is implemented in MATLAB and validated via simulation. The test script and the data can be accessed upon request11https://github.com/jkk-research/jkk_controllers/tree/prototype/mppc

Open Access: Yes

DOI: 10.1109/CINTI67731.2025.11311824

Effect of Lubricant Aging and Flow Rate on Bifurcation Speed and Vibration in Automotive Turbochargers †

Adam Agocs Márk Pesthy Máté Boros

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Lubricants significantly influence the performance and durability of internal combustion engines (ICEs), yet fresh oils seldom represent in-service conditions. To replicate realistic end-of-life scenarios, lubricants were artificially degraded in sufficient quantities for experimental investigation. This study introduces a methodology to evaluate the impact of altered lubricants on turbocharger dynamics under controlled laboratory conditions. A comparative analysis was performed on turbochargers operating with fresh and aged oils of varying compositions to establish correlations between lubricant properties and vibrational response. Particular attention was given to sub-synchronous phenomena and their implications for rotordynamic stability. Variations in damping and stiffness were assessed under constant pressure and temperature to support mathematical modeling of lubricant degradation and viscosity evolution. Experiments were conducted on a cold turbocharger test bench equipped with acceleration, speed, and displacement sensors, while a mobile oil control unit ensured precise regulation of inlet oil pressure and temperature.

Open Access: Yes

DOI: 10.3390/engproc2025113014