Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6383

Using Dimensionality Reduction Methods to Explore the Social, Cultural and Geographical Reasons Behind Food Waste in the European Union

A. Zseni András Horváth Gergely Zoltán Macher

Publication Name: Sustainability Switzerland

Publication Date: 2025-10-01

Volume: 17

Issue: 20

Page Range: Unknown

Description:

The paper investigates disparities in food waste generation across European Union countries between 2020 and 2022, focusing on spatial and sustainability dimensions. It utilizes data for six key food waste parameters and a broad range of environmental, social and economic indicators. A combination of statistical methods, including correlation analysis, cluster analysis and Principal Component Analysis, uncovers multivariate patterns and identifies groups of countries with similar food waste characteristics and related factors. The paper highlights the temporal and spatial dynamics of food waste over the three-year period, particularly in light of the COVID-19 pandemic. While the total volume of food waste remained relatively stable across the EU, notable shifts occurred in waste sources. Household food waste peaked in 2021, likely due to increased time spent at home during pandemic-related lockdowns. Conversely, waste from retail, restaurants and food service sectors showed a consistent increase. The paper identifies non-trivial correlations between food waste and socio-economic variables, suggesting that differences in food waste generation across EU countries are influenced by a complex interplay of factors, including policy effectiveness, cultural practices, consumer behaviour and economic conditions. This comprehensive analysis of food waste patterns across EU countries and over time offers valuable insights for policymakers aiming to reduce waste and promote sustainability.

Open Access: Yes

DOI: 10.3390/su17209315

Investigation of deformations of a lithium polymer cell using the Digital Image Correlation Method (DICM)

Szabolcs Fischer Szabolcs Szalai Dóra Harangozó Szabolcs Kocsis Szurke

Publication Name: Reports in Mechanical Engineering

Publication Date: 2022-01-01

Volume: 3

Issue: 1

Page Range: 116-134

Description:

This research aims to investigate the adaptability of a measurement system or a process in determining the parameters of batteries. Methods are suggested for different applications, and properties gained by these measurements are specified. Deformations of lithium polymer batteries measured by various methodologies are also analyzed in detail. Changes in the geometry of worn-out batteries and the localization of the changes can be better understood by applying the results. The GOM ATOS and the GOM ARAMIS systems were applied to characterize lithium polymer batteries. Discontinuous tests were performed and the battery was discharged to 0 V and then fully charged for both methods. The advantages and disadvantages and the applicability of the two measurement systems were analyzed in this topic.

Open Access: Yes

DOI: 10.31181/rme20008022022s

Assessing the Chronic Environmental Risk of Graphene Oxide Using a Multimarker Approach Across Three Trophic Levels of the Aquatic Ecosystem

Benjámin Gyarmati Ildikó Fekete-Kertész Zoltán Molnár Anna Bulátkó Mónika Molnár Krisztina László

Publication Name: Nanomaterials

Publication Date: 2025-10-01

Volume: 15

Issue: 20

Page Range: Unknown

Description:

With the rapid increase in the synthesis and application of graphene oxide (GO), questions have emerged about its inadvertent entry into aquatic habitats and the ecological consequences associated with such exposure While several studies have addressed the acute effects of GO, knowledge on its chronic impacts across multiple trophic levels remains limited. In this study, we assessed the chronic toxicity of a well-characterized GO product using model organisms representing three trophic levels: the bioluminescent marine bacterium Aliivibrio fischeri, unicellular green algae (Chlamydomonas reinhardtii, Chlorella vulgaris, Desmodesmus subspicatus), the cyanobacterium Synechococcus elongatus, and the freshwater cladoceran Daphnia magna. Endpoints included bioluminescence inhibition in bacteria, growth inhibition in photosynthetic primary producers, and reproduction and refined physiological parameters (heart rate, feeding activity) in D. magna. Our results demonstrated clear concentration-dependent chronic effects of GO, with A. fischeri, the applied photosynthetic primary producers and D. magna exhibiting significant inhibition of bioluminescence, growth, delayed onset of reproduction, and reduced fitness parameters, respectively. Based on the collected data, a comprehensive ecotoxicological risk assessment was carried out, revealing that pristine GO may pose negligible hazard to aquatic ecosystems under environmentally relevant exposure scenarios. The outcomes clearly demonstrate the relevance of incorporating chronic and multi-trophic effects when evaluating the ecological risks of emerging nanomaterials such as GO.

Open Access: Yes

DOI: 10.3390/nano15201553

The inverse kinematics problem, a heuristical approach

Claudiu Radu Pozna Erno Horváth Janos Hollosi

Publication Name: Sami 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics Proceedings

Publication Date: 2016-03-01

Volume: Unknown

Issue: Unknown

Page Range: 299-304

Description:

This paper presents a heuristic solution for the inverse kinematics problem. The heuristic consists on combining the distance between the actual position and the desired position of the gripper with the direction of the best manipulability of the robot. Theoretical results are validated by digital simulations resolute.

Open Access: Yes

DOI: 10.1109/SAMI.2016.7423024

Sustainable finance in action: A comprehensive framework for policy and practice integration

Gagan Deep Sharma Aviral Tiwari Mansi Gupta Dhairya Dev Mansi Gupta

Publication Name: International Review of Economics and Finance

Publication Date: 2025-10-01

Volume: 103

Issue: Unknown

Page Range: Unknown

Description:

This study examines the current state of sustainable finance and proposes a strategic roadmap for its advancement in policy and practice, emphasizing the integration of sustainability principles into financial systems to address global environmental and social challenges. Using an integrative literature review of 684 scholarly articles—combining bibliometric analysis with manual review—the research identifies six critical themes and highlights major barriers such as regulatory ambiguity, lack of standardized metrics, and limited data availability. It offers targeted recommendations for policymakers, financial institutions, and stakeholders to overcome these challenges. The study provides a novel methodological contribution by merging bibliometric and qualitative insights, and outlines practical strategies to enhance regulatory frameworks, encourage innovation in sustainable finance, and promote emerging technologies like blockchain and artificial intelligence. Ultimately, it supports the integration of environmental, social, and governance (ESG) considerations into financial practices, fostering a more responsible and inclusive financial ecosystem.

Open Access: Yes

DOI: 10.1016/j.iref.2025.104511

Application of cognitive infocommunications in public transport journey planning: Relationship of passenger decisions and online passenger information systems

Ágoston Winkler Balázs Horváth

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

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 95-98

Description:

Cognitive sciences play an important role in public transport journey planning. Passengers have to determine the possible ways to get from one place to another at a specified time and then choose the best one. Their decisions depend on many factors e.g. journey time, walking distances, transfers, waiting times, price of the journey as well as the preferences of the passengers. This paper presents an innovative journey planning system which is able to handle as well as collect data about preferences of different passenger layers. The experiences show that passenger preferences at the beginning of the journey differ from the ones at the middle of the journey which implies that infocommunication applications used for passenger information and journey planning should consider these differences.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390571

Parallel edge finite elementmethod to solve eddy current field problems

Miklós Kuczmann Dániel Marcsa

Publication Name: Acta Technica CSAV Ceskoslovensk Akademie Ved

Publication Date: 2015-01-01

Volume: 60

Issue: 3

Page Range: 277-290

Description:

Two non-overlapping domain decomposition methods are presented and compared. They are used for parallelization of the finite element method with edge element approximation. In this case, the methods under investigation are the Schur complement method and the Lagrange multiplier based finite element tearing and interconnecting method, and their solvers. The performance of these methods and solvers is investigated in detail for two-dimensional eddy current field problems as case studies.

Open Access: Yes

DOI: DOI not available

Machine Intelligence for Predictive, Adaptive Curriculum Design in Higher Education

Wasib Bin Latif Gouranga Chandra Debnath Md Abdullah Al Mamun Ida Md Yasin Mohammad Bin Amin

Publication Name: TEM Journal

Publication Date: 2026-05-27

Volume: 15

Issue: 2

Page Range: 1988-1998

Description:

Higher education institutions face accelerating skills change, expanding digital delivery, and rising expectations for workforce relevance. This study examines how machine intelligence can support predictive–adaptive, data-driven curriculum design by integrating learning analytics, adaptive learning platforms, and institutional decision systems. Evidence from the analysis indicates that predictive models strengthen alignment between program outcomes and labor-market needs, while adaptive learning features improve student engagement and learning support. At the institutional level, analytics-enabled planning enhances resource allocation, training design, and operational efficiency. Qualitative insights further highlight perceived benefits (personalization, timely feedback, and transparency) alongside persistent barriers, including data quality constraints, implementation capacity, governance and ethics, and uneven access that may reinforce inequities if not addressed. The findings imply that effective adoption requires clear data governance, stakeholder readiness, faculty development, and equity-by-design safeguards. Overall, machine intelligence is positioned as an enabling infrastructure for continuous curriculum improvement when paired with responsible oversight and inclusive implementation.

Open Access: Yes

DOI: 10.18421/TEM152-86

Wear Behavior of Total Knee Arthroplasties as a Function of Size and Main Dimensions

Gusztáv Fekete

Publication Name: Journal of Tribology

Publication Date: 2026-05-01

Volume: 148

Issue: 5

Page Range: Unknown

Description:

A scientific disparity exists on the question of how total knee arthroplasty (TKA) size and the main dimensions of a TKA affect wear on the tibial insert. Although some results have been presented about the existence of such a relationship, a closed-form mathematical description or approximate solution has not yet been delivered. This paper provides a numerical description of the influence of TKA size and TKA-related dimensionless parameters on tibial tray wear by means of multibody dynamics simulations (MBD) involving six commercially available, cruciate retained (CR) TKAs. Boundary- and initial conditions for the multibody dynamics simulations were set according to ISO 14243-1-2009 standards to facilitate comparison with experimental data found in the relevant literature. Results showed that all the investigated parameters have a critical level of impact on wear, and they can be predominantly approximated by linear functions. The specific TKA depth ratio (R2 = 0.89) has the strongest effect by having the highest positive slope (40.27). This parameter is followed by the specific TKA volume ratio (R2 = 0.77) with a relatively high positive slope (18.77). The third parameter in the rank is TKA size (R2 = 0.99), where the effect on wear, based on its slope (1.59), is considerably lower. The specific TKA width ratio (R2 = 0.91) was ranked as the fourth parameter, since, as a quadratic function, it has a peak, which also limits its maximum effect on wear. Therefore, this parameter was evaluated as the one with the least effect. These findings, together with the introduced dimensionless parameters, serve as practical design ratios, highlighting alternatives on how to enhance TKA wear performance and ensure minimal wear by optimal sizing.

Open Access: Yes

DOI: 10.1115/1.4070693