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Publications - 6383

Preface: First Sustainable Mobility and Transportation Symposium (SMTS 2024) †

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

No description provided

Open Access: Yes

DOI: 10.3390/engproc2024079097

Parameter-Driven Campbell Diagram Variations in Turbocharger Rotors: A Rotordynamic Simulation Study Using ROSS †

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

This study investigates the influence of rotor design parameters on the Campbell diagrams of automotive turbocharger rotors using rotordynamic simulations. A finite element model of the rotor is developed within the Python-based ROSS package, incorporating key parameters such as disk mass, lubricant viscosity, and bearing positioning. Employing this model, simulations are conducted to generate Campbell diagrams across a range of operational speeds. The analysis focuses on how variations in these parameters affect the critical speeds and corresponding vibration modes identified in the Campbell diagrams. The results provide valuable insights into the rotordynamic behavior of automotive turbochargers and their sensitivity to design choices. This information can be utilized to optimize rotor design for improved stability, reduced noise generation, and enhanced overall performance.

Open Access: Yes

DOI: 10.3390/engproc2024079058

Greenwashing in the context of responsible consumption and production (SDG 12): A cross-sectoral analysis of sustainability

Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy

Publication Date: 2025-12-30

Volume: 20

Issue: 4

Page Range: 1387-1423

Description:

Research background:Responsible consumption and production, articulated in Sustainable Development Goal 12 (SDG 12), has heightened global expectations for credible sustainability disclosure. Despite this, firms across sectors continue to use selective, vague, or unverifiable environmental claims that contribute to greenwashing. Although research on greenwashing has expanded, consolidated knowledge on how misrepresentation patterns vary across industries and how these practices undermine SDG 12 objectives remains limited. A clearer understanding of sector-specific disclosure behaviors is essential for strengthening accountability and supporting responsible production–consumption transitions. Purpose of the article: This study aims to provide a cross-sectoral synthesis of greenwashing mechanisms and sustainability misrepresentation, examining how disclosure tactics differ across the manufacturing, energy, fast-moving consumer goods (FMCG), automotive, tech-nology, and service sectors. The objective is to map these practices against SDG 12 expectations and highlight how they hinder progress toward responsible production and consump-tion. Methods: Using a PRISMA-based systematic review of Scopus-indexed studies, the analysis applies thematic coding and comparative sectoral assessment to identify patterns of misrepre-sentation. The review integrates evidence across multiple industries to highlight differences in performance-based, claim-based, symbolic, and impression-management tactics. Findings & value added: The results show that manufacturing and energy firms predomi-nantly engage in performance-related sustainability misrepresentation, whereas FMCG and service firms more frequently employ claim-based, symbolic, and impression-management approaches. Across all sectors, recurring practices include overstated certifications, selective reporting, and ambiguous SDG commitments, which collectively impede transparency and weaken the achievement of SDG 12. By offering one of the first comprehensive cross-industry evaluations of greenwashing within an SDG framework, the study advances the theoretical understanding of sustainability misrepresentation and identifies sector-specific risks relevant for regulators and policymakers. It also provides actionable insights into enhancing reporting integrity and accountability aligned with SDG 12.

Open Access: Yes

DOI: 10.24136/eq.3691

Polarization Recovery-Based Screening of Lithium-Ion Cells After Pulse Multisine Loading

Publication Name: Electronics Switzerland

Publication Date: 2026-06-01

Volume: 15

Issue: 11

Page Range: Unknown

Description:

Fast and scalable lithium-ion cell diagnostics require measurements that are shorter and simpler than full impedance analysis, yet richer and more interpretable than single scalar resistance indicators or raw waveform classification alone. This paper introduces a practical recovery stamp screening method in which short post-load voltage recovery intervals after pulse and pulse–multisine excitation are treated as compact diagnostic events, rather than as single resistance-like indices or parameter identification segments. For this purpose, a constrained two-timescale relaxation model is introduced to retain fast and slower recovery contributions in a low-dimensional form. Using laboratory measurements on two lithium-ion pouch cell families based on nickel manganese cobalt oxide (NMC)/graphite and LiFePO4/graphite chemistry, each retained load removal event is converted into a signed, current-normalized recovery curve and parameterized by the proposed model. The fitted parameters provide a compact, physics-informed recovery state, while the resampled local waveform preserves transition morphology and short-time relaxation structure that are not fully retained by compact variables alone. These two inputs are evaluated separately and jointly in ordered event sequences under a reference-centered binary screening formulation. The curated dataset comprises 48 original recovery events. Local label-preserving augmentation is applied as training-side regularization, yielding 490 event instances and 230 event sequences. A scalar recovery-amplitude baseline has reached balanced accuracies of 0.833 without and 0.929 with operating context, whereas the best deep learning result is obtained only when fitted variables and waveform are combined. In that setting, TimesNet has reached a median validation balanced accuracy of 0.938. These findings show that post-load polarization recovery contains diagnostically useful information beyond scalar amplitude measures and can support rapid, interpretable reference-deviation screening.

Open Access: Yes

DOI: 10.3390/electronics15112291

Parametric Simulation of Tooth-Level Barreling Distribution Effects on Transmission Error Modulation and Spectral Characteristics in a Single Gear Pair

Publication Name: Applied Sciences Switzerland

Publication Date: 2026-06-01

Volume: 16

Issue: 11

Page Range: Unknown

Description:

Featured Application: The presented workflow supports early-stage sensitivity analysis of how tooth-level barreling variability influences transmission error and its spectral characteristics. The approach can help identify microgeometry distribution patterns that may increase modulation, sideband activity, and noise, vibration, and harshness (NVH) risk in geared drivetrain systems. Transmission error (TE) is a major excitation source in geared systems, but microgeometry deviations are usually evaluated through nominal amplitudes rather than their tooth-to-tooth spatial distribution. This study investigates how different tooth-level barreling deviation patterns influence TE modulation and spectral characteristics in a controlled single helical gear-pair model. The nominal barreling value was kept constant, while four deviation patterns were imposed on the 23-tooth pinion: harmonic, phase-shifted harmonic, clustered with an outlier, and random. The TE response was evaluated in the time domain and by Fast Fourier Transform (FFT)-based spectral analysis, with particular attention to the gear mesh frequency (GMF) and shaft-frequency-spaced sidebands. The results show that identical nominal barreling levels can produce different TE waveforms and spectral signatures. Harmonic distributions mainly preserve a regular response, whereas phase-shifted and clustered patterns increase waveform asymmetry and sideband activity. The clustered outlier case produced the most fault-like response. The findings indicate that tooth-level spatial distribution should be considered explicitly in simulation-based gear microgeometry and noise, vibration, and harshness (NVH) sensitivity studies.

Open Access: Yes

DOI: 10.3390/app16115248

Wounded Collective Identity in Europe: Trauma, Religiosity, Modernization and Visions of the Future Based on Empirical Studies of Thirty-Eight European Countries

Publication Name: Religion and Society in Central and Eastern Europe

Publication Date: 2025-12-30

Volume: 18

Issue: 1

Page Range: 3-23

Description:

Máté-Tóth (2015, 2022) uses the concept of woundedness and the theory of wounded collective identity to describe the collective self-understanding of the Central and Eastern European region. An international study by the Századvég Foundation in 2022, based on 38,000 respondents (1,000 per country), provided an opportunity to test the theory on a European sample. This study sought to answer the question of the prevalence of a wounded collective identity in Hungary and other European countries, and whether the theory has any region-specific relevance. The results show that regional in-betweenness can be considered to be a determining factor for wounded collective identity.

Open Access: Yes

DOI: 10.20413/rascee.2025.18.1.3-23

On commutative asynchronous nondeterministic automata

Publication Name: Acta Cybernetica

Publication Date: 2000-01-01

Volume: 14

Issue: 4

Page Range: 607-617

Description:

In this paper, we deal with nondeterministic automata, in particular, commutative asynchronous ones. Our goal is to give their isomorphic representation under the serial product or equivalently, under the α0-product. It turns out that this class does not contain any finite isomorphically complete system with respect to the α0-product. On the other hand, we present an isomorphically complete system for this class which consists of one monotone nondeterministic automaton of three elements.

Open Access: Yes

DOI: DOI not available

Synthesis of N-best Heat Recovery Networks with Consideration of Dynamic Control Performance

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 73-78

Description:

Recently, graph-theoretic methods have increasingly been employed to generate near-best (n-best) heat recovery networks, aiming to maximize energy recovery efficiency. The exploration of these n-best networks has proven pivotal for making informed decisions. Nevertheless, existing studies in this domain have not attempted to study the favourability of these generated networks based on their respective dynamic control performance. This performance metric reflects the network's ability to maintain target temperature even under disturbances. The network topologies play important role in both economic (i.e., total annual cost (TAC)) and dynamic control aspects. To address this gap, this work introduces a hybrid approach. First, all combinatorically feasible heat recovery networks are generated using P-HENS. Thereafter, each network undergoes dynamic control performance evaluation through Aspen Plus simulations. The final step involves optimization of the network structures based on fuzzy method which avoids over-prioritization. To illustrate the efficacy of the proposed methodology, it is applied to solve a 5-stream problem. Results showed that Network A with the least TAC ($122,249) is not necessarily associated with the greatest dynamic performance (with failure rate of 15 %). Network C which offers the balance performance (with TAC of $122,666 and failure rate of 0 %) is chosen.

Open Access: Yes

DOI: 10.3303/CET24114013

Cognitive infocommunications in transport related decision making

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 303-306

Description:

Cognitive sciences are widespread all across the sciences although transportation sciences did not discover it fully. The paper will give an overview on the possible usage and future of cognitive infocommunication in transportation. The scale is very wide due to the fact that transport is a collector or multidisciplinary science. It needs some technical knowledge some operational research some economy, issues from social sciences, statistical methods and the queue is long enough. In this paper I can highlight only few of the several aspects. It is more a paper to let start thinking on the more consciously usage of cognitive sciences in transport sciences.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390608