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Found 6374 publications

Quantifying the Effect of Frame Stiffness – The Substitution Inertia of Meier's Calculation

Szabolcs Fischer Zoltán Major Attila Németh Vivien Jóvér

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 46-57

Description:

The internationally accepted method for assessing track stability is the calculation based on Meier's theory. A critical point is the inclusion of the equivalent track bending stiffness. Practical measurements have often given contradictory results in determining this, so the authors present a purely theoretical determination in this article. For this purpose, the Nemesdy theory, which is used in Hungarian practice, is invoked. By applying this theory, the paper introduces an auxiliary factor that allows us to calculate the value of the inertia of the two rails on the vertical axis. Stopping at this point in the theoretical derivation and recognizing the possibility, an iterative solution is proposed by which the magnitude of the substitute inertia can be considered in Meier's calculation without performing the necessary calculations using Nemesdy's theory.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_5

The Role of Financial Performance and Sustainability Reporting in the Competitiveness of Hungarian Agricultural Enterprises

Károly Kacz Szabolcs Troján Judit Hegyi Éva Szalka Judit Makkos-Káldi

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 49-54

Description:

The agricultural sector faces numerous challenges and opportunities that influence farmers’ stability and competitiveness, while enterprises are increasingly required to report on their efforts to promote environmental sustainability. In Hungary, sustainability reporting is regulated by law. The relevant requirements entered into force on 1 January 2024 and will be gradually extended to an increasing number of companies. This study examines the economic and financial performance of a sample of Hungarian agricultural enterprises between 2019 and 2023, with particular emphasis on the rate of sustainable development. Financial indicators were employed to evaluate the performance of the enterprises, while sustainable growth was assessed using the five-step DuPont model. The application of this methodology supports improvements in cost-efficiency, asset optimisation, and the mitigation of financial risks. In addition to the financial analysis, the sustainability reports of large companies subject to the reporting requirements of the Hungarian Accounting Act were also examined using qualitative content analysis. The analysis reveals correlations between indicators of economic and environmental sustainability. The findings of the research contribute to the development of sustainable agricultural policy, support the design of targeted subsidy schemes, and promote the effective implementation of sustainability reporting practices. Although the present study is limited to agricultural enterprises applying double-entry bookkeeping and, for sustainability reporting purposes, includes only the TOP 500 companies, it provides a foundation for a broader sustainability analysis of agricultural enterprises in the future.

Open Access: Yes

DOI: 10.3303/CET25121009

The Role of Fintech in Promoting Sustainable Blue Economy

Bharti Kapur Attila Kurucz Komalpreet Kaur

Publication Name: World Sustainability Series

Publication Date: 2025-01-01

Volume: Part F794

Issue: Unknown

Page Range: 1-20

Description:

The sustainable blue economy lays a strong emphasis on utilising ocean resources responsibly in order to enhance livelihoods, preserve ecosystem health, and grow the economy. Financial technology, or fintech, has emerged as a major enabler, offering creative ways to eliminate financial gaps, enhance monitoring, and more efficiently manage ocean resources. In this chapter discusses how fintech may stimulate sustainable growth in the blue economy by concentrating on key issues including transparent resource management, scalable investment mechanisms, and inclusive financial systems. This chapter presents a conceptual framework for addressing economic, environmental, and social issues by fusing sustainable marine practices with technological advancements like blockchain, artificial intelligence, and the internet of things. Fintech’s practical implications in advancing sustainability are demonstrated through in-depth case studies, such as blockchain for Indonesian fisheries and crowdfunding for the restoration of coral reefs in the Caribbean. It also focuses on practical policy recommendations for incorporating fintech into nationally and globally blue economy strategies, like developing regulatory framework and strengthening cross-sector collaborations. The chapter concludes by highlighting fintech’s critical role in promoting sustainability, inclusion, and resilience in ocean-based economies, widening up opportunities for the accomplishment of more general sustainable development goals.

Open Access: Yes

DOI: 10.1007/978-3-031-92390-6_1

Quantifying Geotechnical Uncertainty in Ground Motion Predictions: Bayesian Generalized Linear Model Framework

Clara Beatrice Vilceanu Ayele Tesema Chala Mais Mayassah R. P. Ray

Publication Name: Advances in Civil Engineering

Publication Date: 2025-01-01

Volume: 2025

Issue: 1

Page Range: Unknown

Description:

Accurate prediction of peak ground intensity measures is inevitably influenced by geotechnical variability. Variations in soil properties, subsurface conditions, and seismic inputs introduce complexities that challenge the reliability of predictions. This study introduces a Bayesian generalized linear model (GLM) to probabilistically predict peak ground acceleration (PGA) while accounting for uncertainties associated with geotechnical variability. Latin hypercube sampling (LHS) was employed to generate synthetic datasets of key geotechnical parameters, including plasticity index, shear wave velocity, soil thickness, input motion intensity, and unit weight of soil for hypothetical sites. Subsequently, a series of one-dimensional equivalent linear (1D-EQL) seismic site response analyses were performed, and PGA value at ground surface level were recorded for each analysis. The Bayesian GLM was then developed using these comprehensive datasets to probabilistically predict PGA. The performance and reliability of the developed model were evaluated on a separate test dataset. To benchmark its performance, a Bayesian neural network (BNN) was also developed and compared. In addition, a Shiny-based graphical user interface (GUI), named Bayes-PGA-predictor, was implemented to facilitate practical application. The findings demonstrate that the Bayesian GLM offers a robust and interpretable approach to predicting PGA while effectively quantifying uncertainty associated with geotechnical variability.

Open Access: Yes

DOI: 10.1155/adce/6678669

Haim Shapira: Probably the Best Book on Statistics Ever Written. How to Beat the Odds and Make Better Decisions

Dusek Tamás

Publication Name: Statisztikai Szemle

Publication Date: 2025-01-01

Volume: 104

Issue: Unknown

Page Range: 476-491

Description:

No description provided

Open Access: Yes

DOI: 10.20311/stat2026.05.hu0492

Comparative Analysis of Discrete-Time and Precedence-Based MILP Formulations for Sustainable Scheduling in Furniture Manufacturing

Botond Bertok Károly Kalauz Márton Frits

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 151-156

Description:

Efficient production scheduling plays a pivotal role in enhancing productivity and reducing energy consumption in mass manufacturing environments. This study presents a comparative evaluation of two mixed-integer linear programming (MILP) formulations - Discrete-Time Process Network Synthesis (PNS) and Precedence-Based Time-Constrained Process Network Synthesis (TCPNS) - for optimizing production scheduling in furniture manufacturing. Both approaches are grounded in the P-graph framework, which excels at representing complex, flexible process recipes commonly found in large-scale production systems. The TCPNS model, with its precedence-based structure, offers high-resolution scheduling capabilities and accurately manages complex changeover constraints. It enables the computation of exact start times and resource allocations, leading to highly optimized schedules. However, this precision comes with increased computational demand, which can become impractical for large-scale instances. Conversely, the PNS approach discretizes the planning horizon into time slots, significantly reducing model size and complexity. While this may result in less granular schedules, the formulation allows for faster solution times and easier integration of combinatorial simplifications, making it a practical alternative for real-time applications. The research also explores automated model generation techniques for both formulations, highlighting multi-resolution capabilities in the discrete-time approach that allow flexible trade-offs between accuracy and computational effort. A real-life case study from the furniture manufacturing sector is used to benchmark the two optimization strategies. The results demonstrate the practical implications of each method in terms of schedule precision, computational performance, and energy-aware utilization, i.e., if minute-to-minute scheduling is sufficient instead of milliseconds, then traditional PNS algorithms can offer the same sustainable solution with 10,000 times faster computation.

Open Access: Yes

DOI: 10.3303/CET25121026

Statistical Analysis of Companies' Logistics Systems

Antal Balogh Timea Kozma Attila Kurucz Marah Almelhem

Publication Name: Wseas Transactions on Business and Economics

Publication Date: 2025-01-01

Volume: 22

Issue: Unknown

Page Range: 2185-2197

Description:

COVID-19, officially SARS-CoV-2, which originated in China in December 2019, has fundamentally disrupted globalization and economic growth. The strain on supply chains is difficult to manage, and it is expected that the problems can only be resolved once the pandemic is over, which could lead to a further increase in economic and globalization growth. Consumer goods reach the final consumer through supply chains and supply networks, and these supply chains are increasingly playing a role in fostering collaborative relationships across international companies. As a result, companies are becoming stronger, more developed, and growing. Logistics is an important part of a company's operations, managing the flow of materials. The development and positioning of logistics within a company have a major impact on the company's performance, its role in the supply chain, and its competitiveness. Advanced, large companies now consider the senior manager responsible for material flow processes to be the head of the supply chain within their company, as the process from raw material to consumer must be managed and controlled as a whole. Performance must also be assessed in context, recognizing the differences between companies that give them a competitive advantage or disadvantage. In addition, the aim is to develop sustainable logistics at the company level, which will be achieved in companies that pay particular attention to the strategic role of logistics within the company. The use of statistical methods to analyze these relationships is not common in business practice, but it can provide important information and can also be a major aid to future decision-making.

Open Access: Yes

DOI: 10.37394/23207.2025.22.172

Torque Profile Optimization for Shell Eco-Marathon Urban Category Race †

Péter Korös Zoltan Pusztai

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

In this paper, we analyze the possibilities of optimizing the driving strategy for energy-efficient electric vehicles competing in the Shell Eco-marathon race. The base method we already developed and successfully applied for several years—winning the Urban Concept Battery Electric competition of the 2022, 2023, and 2024 Shell Eco-marathon races—was further tested, with small modifications to our optimization method. We only used an optimizer tool based on a genetic algorithm. We were interested in determining how a modification to the minimalization problem could help our optimizer find the best driving cycle to reach the minimum energy consumption. We successfully applied the modification to our method at the 2025 competition, where we beat our own record and proved its practical applicability.

Open Access: Yes

DOI: 10.3390/engproc2025113039

Legislation on the Appointment of Heads of Autonomous Central Public Administration Entities in Hungary, the Czech Republic and Slovakia

András Lapsánszky Gábor Hulkó

Publication Name: Studia Iuridica Lublinensia

Publication Date: 2025-01-01

Volume: 34

Issue: 4

Page Range: 51-81

Description:

The research article offers a comparative analysis of the legislative frameworks governing the appointment of heads of autonomous central public administration entities in Hungary, the Czech Republic and Slovakia. The relevance of the subject matter lies at the intersection of administrative law and public governance, addressing the critical question of how legal provisions shape the institutional autonomy and professionalism of state bodies. Although the three countries share common historical and regional characteristics, the study reveals significant differences in the legal regulation and practical execution of appointments. The central thesis posits that legal frameworks alone are insufficient to guarantee institutional independence if political discretion and informal practices undermine transparency and merit-based selection. The research aims to evaluate the degree of formal autonomy, the safeguards against politicisation, and the effectiveness of legal norms in ensuring im partiality. The originality of the research stems from its interdisciplinary and comparative approach, integrating doctrinal legal analysis with an examination of administrative realities. While the scope of the study is national, its relevance extends across Central Europe and the broader EU context. The findings contribute meaningfully to ongoing academic and policy debates on good governance, rule of law, and institutional integrity in public administration.

Open Access: Yes

DOI: 10.17951/sil.2025.34.4.51-81