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Found 6374 publications

A new approach to military logistical reconnaissance of railway infrastructure

Zsolt Lévai Gyula Szajkó

Publication Name: Journal of Defense Modeling and Simulation

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

A key factor in successful military operations is proper reconnaissance of the theater of operations, which includes mapping transport infrastructures to ensure the accurate location of materials, troops, and supplies. The aim of this research is to facilitate the success of logistical reconnaissance using unmanned aerial vehicles to be able to get more accurate information of the state of transport infrastructure. Rail transportation is well suited to carry out this experiment. As a result of an empirical research, an extended visual checklist is defined, which can be used as a basis for investigating the parameters of the elements of the railway infrastructure, including operation possibilities. The elements of the list have been examined by drones and their effectiveness has also been verified. The three-dimensional (3D) model could be created based on the drone-records, provides information on the condition of the tracks and their surroundings. The drawn conclusions will be used to define general requirements for the use of unmanned aerial vehicles for logistical reconnaissance. The application of the presented methodology can significantly improve the effectiveness of military logistical reconnaissance.

Open Access: Yes

DOI: 10.1177/15485129251342271

Literature Review of the Behaviour of Adhesive Joint Fatigue Performance

Zoltán Weltsch Miklós Berczeli Péter Péczi-Kovács

Publication Name: Materials Science Forum

Publication Date: 2025-01-01

Volume: 1153

Issue: Unknown

Page Range: 23-32

Description:

Adhesive joints are essential in modern engineering, offering lightweight, durable and efficient solutions for bonding in industries such as aerospace, automotive, and renewable energy. However, their fatigue performance under cyclic loading remains a critical challenge, shaped by a complex interplay of geometrical, material, environmental, and loading factors. This review explores the mechanisms of fatigue failure, highlighting the importance of joint design, material optimization, and surface preparation in mitigating stress concentrations and enhancing durability. Advances in toughened adhesives, surface treatments, and environmental protection methods are highlighted, along with predictive models ranging from empirical S-N curves to advanced finite element simulations and probabilistic approaches. Despite significant progress, challenges remain in integrating these techniques for real-world applications, particularly under variable loading and harsh environmental conditions. Future research must focus on hybrid methodologies, adaptive materials, and standardized protocols to bridge the gap between laboratory insights and practical implementations. This comprehensive review provides a foundation for improving the fatigue performance of adhesive joints, ensuring their reliability and effectiveness in critical engineering systems.

Open Access: Yes

DOI: 10.4028/p-F2MUdc

Measuring Corporate Compliance with the SDGs Based on the GRI’s ESG Reporting Methodology

Árpád Tóth Péter Molnár Bence Lukács

Publication Name: Journal of Sustainability Research

Publication Date: 2025-01-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

Background: This research examines the efficiency of ESG reporting in corporate contributions toward achieving the SDGs, relative to the literature gaps and sectoral differences in reporting practices. It also highlights that full ESG disclosure is invariably instrumental in ensuring corporate transparency and accountability. Methods: The study used the GRI framework to analyze SDG compliance in sustainability reports from companies in the technology, automotive, energy, and health sectors. Results: Key findings include significant variations in SDG compliance across industries: the automotive sector demonstrated the highest compliance at 85%, while the technology sector showed the lowest at 49%. The study also found a notable difference between reported and substantiated SDGs, indicating that many companies engage in ‘rainbow washing’ or ‘cherry-picking’ SDGs to fit their agendas without fully integrating them into their strategies. The research concludes that although the GRI framework provide. Conclusions: The study urges the combination of other standards, such as ESRS and SASB, together with more intense regulatory frameworks and industry-specific guidelines to increase comparability and the credibility of the reports on sustainability.

Open Access: Yes

DOI: 10.20900/jsr20250010

The Usability of Polymethyl Methacrylate in Marshall Samples for Asphalt Pavements Using in Railway Supplementary Layers

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

Publication Name: Lecture Notes in Networks and Systems

Publication Date: 2025-01-01

Volume: 1258 LNNS

Issue: Unknown

Page Range: 34-45

Description:

In today's world, construction and infrastructure projects necessitate innovative solutions in environmental sustainability and materials engineering. In this context, research efforts to improve the properties of asphalt mixtures, reduce environmental impacts, and contribute to recycling hold great significance. This study focuses on modifying stone mastic asphalt mixtures with waste material derived from Polymethyl Methacrylate. Using Polymethyl Methacrylate as waste plastic material represents a significant step forward in recycling and sustainable material usage. In the study, Marshall specimens were obtained using Polymethyl Methacrylate in different proportions in bitumen and aggregate. The results of the Marshall specimens were evaluated to determine the usability and optimum ratios of Polymethyl Methacrylate. This study aims to evaluate the impact of Polymethyl Methacrylate on stone mastic asphalt mixtures as a support layer in railway tracks to help reduce noise and vibration. The results demonstrate that varying concentrations of Polymethyl Methacrylate in both aggregate and bitumen significantly alter the mechanical and thermal properties of the asphalt. For instance, incorporating 2.5% Polymethyl Methacrylate in the aggregate increased the VMA to 21, resulting in VFA values of 66. Furthermore, using Polymethyl Methacrylate in the aggregate increased the asphalt samples’ height, ranging from 69 to 72 mm. These findings underscore the effectiveness and feasibility of Polymethyl Methacrylate in sustainable asphalt projects. Following highway technical specifications, incorporating Polymethyl Methacrylate in specific proportions in stone mastic asphalt mixtures can enhance their performance, representing a significant step towards sustainable road construction. However, when the concentration of Polymethyl Methacrylate in the bitumen increased, the bitumen formed deteriorated. Therefore, using waste Polymethyl Methacrylate between 4% and 5% can be considered suitable for improving the properties of bitumen against sustainability and temperature concerns.

Open Access: Yes

DOI: 10.1007/978-3-031-81799-1_4

Structured Representation of Industrial Robot Data for Augmented Reality Applications: A Unified Approach

Péter Galambos Csaba Hajdu Károly Széll Zoltán Szilágyi

Publication Name: Isse 2025 11th IEEE International Symposium on Systems Engineering Symposium Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Industrial robots generate diverse types of data, such as position, orientation, coordinate system definitions, tooling information, and safety zone configurations. Handling these heterogeneous datasets uniformly is challenging, especially when integrating data from multiple robot manufacturers within augmented reality (AR) environments. This research introduces a unified data structure that encapsulates robot-specific data along with supplementary metadata, including source identifiers, unique data identifiers, data types, original orientation formats, status data, and timestamps. The developed data model, validated by JSON Schema, ensures consistent interpretation and ease of integration into AR visualization environments.

Open Access: Yes

DOI: 10.1109/ISSE65546.2025.11370107

Foreign direct investment and its influence on China’s economic growth: A comprehensive review

Laszlo Vasa Eszter Lukács Kamal Hossain

Publication Name: Investment Management and Financial Innovations

Publication Date: 2025-01-01

Volume: 22

Issue: 4

Page Range: 421-448

Description:

This study aims to systematically analyze and synthesize the existing scientific literature on the determinants of long-term capital flows, particularly Foreign Direct Investment (FDI) into China, with a focus on how prior empirical studies examine the roles of trade openness, infrastructure development, institutional quality, and financial modernization. Using the PRISMA framework, the study systematically reviewed 114 peer-reviewed articles published between 1990 and 2025 to identify recent patterns, evaluate the impact of core sources, and highlight thematic trends in academic literature. The finding of this study indicates a clear upward trend in article production, with a significant jump from 124 publications in the UK to 1,855 in China, with China emerging as the leading contributor and host to several highly influential articles. The Journal of International Trade/Economics is the leading source with 109 documents, followed by China Economic Review (63), Research in Emerging Markets Finance and Trade (45), and Economic Modeling (36). A total of 780 authors contributed to these works, with 2.96 co-authors per document on average, but international co-authorship was limited. This study also highlighted FDI as a key theme with 254 counts following Economic Growth/Development (181 mentions) and Trade (146), which indicates a strong research interest in the role of capital flows and macroeconomic performance in the Chinese context. This study analyzed 639 articles for the bibliometric review, with a primary focus on FDI. However, other significant components of long-term capital flows, such as portfolio investment, external debt, and remittances, were not adequately covered, representing a key limitation of this study. Additionally, the direction of causality between FDI and China’s economic growth was not covered by this study.

Open Access: Yes

DOI: 10.21511/imfi.22(4).2025.32

GDP per capita and human capital investment in five countries after exhaustion of the first demographic dividend

Izabella Kuncz Petra Németh Eszter Szabó-Bakos Sándor Remsei Eva Berde

Publication Name: Regional Statistics

Publication Date: 2025-01-01

Volume: 15

Issue: 5

Page Range: 908-929

Description:

As total fertility rates (TFRs) decline globally and life expectancy rises, population aging presents significant economic challenges, including a shrinking working-age population and slower economic growth. This paper examines the impact of aging on economic growth trajectories in China, Hungary, Italy, Sweden, and the Republic of Korea, exploring how differing aging patterns influence economic outcomes. Using a general equilibrium model where agents optimize over an infinite horizon, the study projects GDP per capita and per worker over 60 years. The selected countries, each with TFRs below the replacement level for over three decades, are grouped based on demographic aging indicators. GDP trajectories are shaped by the ratios of the older and young populations to the workingage group and changes in workforce size. Human capital investment is a key component of the model, as each child, while they are young, receives human capital investment every year. This investment determines their future productivity in the workforce and, consequently, the productivity of the overall economy. To our knowledge, no prior research has examined human capital investments across multiple periods in models with infinitely optimizing agents and their cumulative impact on economic productivity. The findings suggest that aging trajectories significantly shape economic growth paths, underscoring the need for tailored strategies to sustain growth in different demographic contexts.

Open Access: Yes

DOI: 10.15196/RS150504

Strain Rate Dependence of PLC Effect in AlMg4.5 Alloys †

Dóra Harangozó Imre Czinege

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Tensile tests of AlMg4.5 alloy were carried out at six strain rates to study the Portevin–Le Chatelier (PLC) effect. The measured engineering stress–time and engineering stress–engineering strain curves were evaluated by direct peak detection and reference function approximation. The waiting and decay times of the PLC effect, and the related stress jumps and drops, were determined. It was shown that, as a function of strain rate, the quotient of the decay and the waiting time forms a curve with a decreasing slope after an initial rapid rise; the same can be stated about the time derivative of the stress jumps. These relationships are suitable for identifying serrations that vary depending on the strain rate, in full harmony with the stress serration amplitudes observed in the tensile test diagrams.

Open Access: Yes

DOI: 10.3390/engproc2025113025

Comparative Analysis of Stress Serration Characteristics in AlMg3 Alloys †

Dóra Harangozó Imre Czinege

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

Aluminum–magnesium alloys show the Portevin–Le Chatelier (PLC) effect. The aim of this publication is to provide a detailed analysis of the evaluation methods of this phenomenon using tensile tests at a strain rate range of 10−3 s−1, where A and A + B stress serrations can be observed. Four smoothing and analytical functions are evaluated in detail as reference functions, which are compared based on their serration amplitude and frequency characteristics. The studied functions are the moving average and Savitzky–Golay smoothing method, as well as the Voce and polynomial analytic functions. The two smoothing methods and smoothing window sizes are compared to obtain the best reference function parameters.

Open Access: Yes

DOI: 10.3390/engproc2025113026