Search Everything

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

Publications - 6273

Support for universal basic income: A cross-disciplinary literature review

Gábor Szábo-Szentgróti Bence Végvári Virág Walter

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 10

Page Range: Unknown

Description:

The technological development and the rise of artificial intelligence are driving a significant transformation of the labor market. The technological unemployment predicted by Keynes poses challenges for the global labor market that require new solutions. Basic income research has become a significant field of study, attracting attention from various disciplines such as political science, law, economics, and sociology. The aim of this paper is to explore on the basis of a literature review, what factors influence the support for basic income among the population. A systematic literature review based on the Web of Science and Scopus databases, after screening 2623 publications, identified 23 articles that contained findings relevant to the research question. A significant number of authors (12/23) analyzed data from the same source, the European Social Survey 2016 (ESS Round 8, 2020), conducted in 2016, first published in 2017 and updated several times since then. The paper shows that the study of the topic has a strong European focus. The social, economic, social and cultural diversity of European countries makes these studies important from a European and EU perspective, but from an international perspective, further research on the topic is needed.

Open Access: Yes

DOI: 10.24294/jipd.v8i10.7486

Calculation Possibilities of the Local Fire Effect for the Examination of Bridge Superstructures

Éva Lublóy Zoltán Major János Szép

Publication Name: Advances in Transdisciplinary Engineering

Publication Date: 2024-01-01

Volume: 59

Issue: Unknown

Page Range: 382-388

Description:

For the examination of bridge superstructures, there is no single standard method in the literature for the design of structures, and possibility for their diagnosis after fire damage. Designers often overcome this problem by examining the fire curves used for tunnel fires, as the materials feeding the combustion are considered to be very similar. In contrast, in some articles, the use of localised fires in design and control is suggested by the authors. This is a standard method used in Eurocode. To solve the problem, two methods must be applied. Heskestad's method describes the case where the flame does not reach the superstructure of the bridge, while Hasemi's method describes the case where the flame does. Heskestad's method is presented in the standard in a way that can be used by practising engineers. The great advantage of Hasemi's method is that it can quantify the effects of several localised fires, each one separate from the other. This feature is very useful for the fire design of, for example, covered car parks and bridge structures. In such a test, the total heat flow on the lower plane of the slab or superstructure can be interpreted as the sum of the heat flows from each local fire. The standard, on the other hand, it does not provide additional assistance to designers in solving the problem. That is way, he should be able to determine the temperature of the structural element, a method which is not provided for in the standard. This problem leads to a fourth degree equation, which again leaves the designer on his own to solve. There is no formula for solving the fourth degree equation. In this case, it becomes more useful to find a sufficiently accurate approximate solution (Newton's method) rather than an exact solution. In this article, we present in detail the possibilities of solving the local fire effect in order to enable practising engineers to use it.

Open Access: Yes

DOI: 10.3233/ATDE240570

Nascent entrepreneurship at Hungarian universities: Experiences of the Hungarian Startup University Program

Novotny Ádám Szabolcs Ramhap Tibor Dory Makai Attila Lajos Bavlsík Richard

Publication Name: Statisztikai Szemle

Publication Date: 2024-01-01

Volume: 102

Issue: 3

Page Range: 231-260

Description:

The creation and growth of new innovative small firms brings significant socio-economic benefits. Developing the entrepreneurial competencies of university students is an effective way to motivate entrepreneurship. In this study, we investigate the characteristics of 187 university start-up project teams, involving 880 students, founded in the Hungarian Startup University Program (HSUP) at 27 Hungarian universities as well as the potential impact of the program. Based on a quantitative content analysis of progress reports prepared by nascent entrepreneurial student teams, we draw conclusions about the competencies and composition of teams, and the market and technological development of the innovative projects they work on. The analysis reveals several useful implications for educators and policy makers regarding the management and development of HSUP and other similar entrepreneurship education initiatives.

Open Access: Yes

DOI: 10.20311/stat2024.03.hu0231

Immersive VR user interaction design in MaxWhere XR

Peter Galambos György Persa Tamás Budai Dániel Mészáros Norbert Rajos Benedek Heilig Sára Puspán Gábor Peller Csaba Tóth

Publication Name: Cinti 2024 IEEE 24th International Symposium on Computational Intelligence and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 111-116

Description:

This paper presents a case study on transitioning user experience from desktop VR to immersive VR within the MaxWhere XR framework. It explores modifications to accommodate the shift to immersive virtual reality environments. Drawing from scientific research, the study focuses on user interaction design, including locomotion techniques, spatial UI elements, and hybrid interaction models. The paper details the technical implementations required to use MaxWhere XR on wide variety of VR devices. It presents the components form the foundation for designing and implementing the immersive user interactions, ensuring that they are intuitive and efficient in a virtual reality environment. Finally, the paper outlines the effects of these changes on user experience and suggests future development directions for further enhancement.

Open Access: Yes

DOI: 10.1109/CINTI63048.2024.10830883

Land subsidence modeling and mapping in Darab region, Iran

Mahrooz Rezaei Narges Kariminejad Vahid Shafaie Monireh Mina Mohammad Reza Loveimi Michel J.P.M. Riksen

Publication Name: Advanced Tools for Studying Soil Erosion Processes Erosion Modelling Soil Redistribution Rates Advanced Analysis and Artificial Intelligence

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 275-294

Description:

Land subsidence refers to the collapse of Earth's surface. This study aimed to model land subsidence using machine learning methods in the Darab region of Fars Province, which is recognized as one of the most critical provinces suffering from land subsidence in the country. Nineteen factors affecting the occurrence of land subsidence were selected as independent variables for the modeling process: slope degree, aspect, distance to rivers, stream density, elevation, land use, normalized difference vegetation index (NDVI), plan curvature, profile curvature, topographic wetness index, pH, electrical conductivity, mean annual rainfall, mean weight diameter (MWD), clay, silt, calcium carbonate equivalent (CCE), sodium content, and organic matter. Modeling was conducted using: artificial neural network (ANN), maximum entropy (MaxEnt), and support vector machine (SVM). The performance of algorithms was compared both individually and in combination. Validation results using the receiver operating characteristic (ROC) curve to identify landslide prone areas showed that land subsidence susceptibility maps produced by single MaxEnt model had highest accuracy, with area under the curve (AUC) of 0.92. According to the prioritization of effective factors, elevation and land use were determined to be the most crucial factors for land subsidence. The results of this spatial modeling of land subsidence susceptibility can greatly aid land allocation planning and water resource management in the study area.

Open Access: Yes

DOI: 10.1016/B978-0-443-22262-7.00011-4

The Application of DIC in Criminology Analysis Procedures to Measure Skin Deformation

Szabolcs Fischer Szabolcs Szalai Mykola Sysyn Jianxing Liu Brigitta Fruzsina Szívós Dániel Kocsis

Publication Name: Journal of Applied and Computational Mechanics

Publication Date: 2024-01-01

Volume: 10

Issue: 4

Page Range: 817-829

Description:

In engineering, DIC is a widely used measurement technique. Its major advantage is that it provides real-time results (displacements, accelerations, stresses, strains, deformations) of the surface under examination relatively quickly and without contact. However, its application in medicine, biomechanics, and the field of criminalistics is novel. The present research focuses mainly on the frontier areas of forensics and medicine. The research aims to define the test boundary conditions and preparatory activities to measure the surface of the animal and then human skin. Injuries caused by low-energy ballistic bullets, blunt-force trauma, and cuts and punctures caused by knives and/or blades will be investigated. The present research focuses on puncture injuries in animal skin. The main challenge is to create a speckle pattern on the surface that can track deformation well. The research is about developing and validating this. The GOM ARAMIS measurement system was applied for the measurements. This paper demonstrates that a suitable preparation, painting procedure, and measurement setup has been established to measure the above effects, i.e., to identify displacements and deformations of up to tenths of a millimeter with sufficient accuracy. The evaluation of the results will also show that this method could be used in forensic applications, the automotive industry, medical orthopedics, and the textile industry.

Open Access: Yes

DOI: 10.22055/jacm.2024.46966.4634

The analysis of urbanization drivers in Kazakhstan: A regional assessment from 2010–2022

Laszlo Vasa Makpal Bekturganova Ainur Amirova Gaukhar Kenzhegulova Assel Bekbossinova

Publication Name: Journal of Infrastructure Policy and Development

Publication Date: 2024-01-01

Volume: 8

Issue: 8

Page Range: Unknown

Description:

Urbanization process affects global socio-economic development. Originally tied to modernization and industrialization, current urbanization policy is focused on productivity, economic activities, and environmental sustainability. This study examines impact of urbanization in various regions of Kazakhstan, focusing on environmental, social, labor, industrial, and economic indicators. The study aims to assess how different indicators influence urbanization trends in Kazakhstan, particularly regarding environmental emissions and pollution. It delves into regional development patterns and identifies key contributing factors. The research methodology is based on classical economic theories of urbanization and modern interpretations emphasizing sustainability and socio-economic impacts and includes two stages. Shannon entropy measures diversity and uncertainty in urbanization indicators, while cluster analysis identifies regional patterns. Data from 2010 to 2022 for 17 regions forms the basis of analysis. Regions are categorized into groups based on urbanization levels leaders, challenged, stable, and outliers. This classification reveals disparities in urban development and its impacts. Findings stress the importance of integrating environmental and social considerations into urban planning and policies. Targeted interventions based on regional characteristics and urbanization levels are recommended to enhance sustainability and socio-economic outcomes. Tailored urban policies accommodating specific regional needs are crucial. Effective management and policy-making demand a nuanced understanding of these impacts, emphasizing region-specific strategies over a uniform approach.

Open Access: Yes

DOI: 10.24294/jipd.v8i8.6157

AI-Driven IoT-based Energy Community Platform Design, Model Experimentation and Implementation Insights

Adrienn Dineva Rita Fleiner Ágnes Gerse Istvan Lovas Zsolt Bringye

Publication Name: 2024 22nd International Conference on Intelligent Systems Applications to Power Systems Isap 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In recent years, decentralized renewable energy production has gained increasing importance. Challenges of distributed energy production include fluctuations in weather-dependent energy generation, which may not always meet peak consumption periods and can result in significant overproduction during low-load periods. Managing production and consumption is a fundamental task for efficient renewable energy utilization. The application of lithium-ion or other advanced battery technologies as community energy storage provides a more reliable power supply when operated optimally with advanced energy management and control systems. Digital platforms form the basis of Energy Communities, supporting necessary processes and functionalities, and enabling the integration of smart grids that utilize data from IoT devices, meteorological sources, and energy markets. This paper presents a design of an Energy Community management platform and digital tools that provide a systematic framework for mapping energy consumption trend within energy communities. Adopting a digital platform for an energy community involves the integration of IoT devices, a centralized database, and a software platform equipped with AIbased forecasting tools. Additionally, investigations into various modeling approaches have highlighted the superior performance of hybrid deep learning models, specifically those combining GRU and LSTM architectures, in predicting energy consumption. These models excel in forecasting consumption peaks, which is crucial for optimizing energy distribution and storage within the community and are able to overcome the limitations of classical forecasting methods, which usually do not account for external variables like weather changes, consumer trends, and technological advancements that might affect energy use.

Open Access: Yes

DOI: 10.1109/ISAP63260.2024.10744343

Psychometric Properties of the Hungarian UCLA Loneliness Scale Among Adolescents: A Search for the Meaning of Loneliness in the Young Population

Ferenc Ihász Johanna Takács Zsolt Bálint Katona

Publication Name: European Journal of Mental Health

Publication Date: 2024-01-01

Volume: 19

Issue: Unknown

Page Range: Unknown

Description:

Introduction: Loneliness has been considered a major public health and policy concern, with substantial physical and mental health impacts.The University of California and Los Angeles Loneliness Scale (UCLA-LS) is one of the most widely used scales for measuring loneliness but it does not have robust psychometric properties among adolescents.Aims: To evaluate the psychometric properties of the Hungarian UCLA-LS among adolescents.Methods: The sample includes a total of 2508 students, 57.3% females, aged between 14 and 21 years.Studying psychometric properties, internal reliability and criterion-related validity were measured.The sample was randomly divided into two parts to examine the factorial structure: one part was used for exploratory factor analysis (EFA) and the other was used for confirmatory factor analysis (CFA).Results: The UCLA-LS showed good internal consistency.Its total score and the single-item measure showed a small correlation, and also indicated a significant moderate association with hopelessness and self-reported well-being.Based on the EFA, we identified two factors with 51.7% of the total variance explained.In the CFA, the two-factor model demonstrated a good fit.Conclusions: The findings suggested that the Hungarian UCLA-LS can be a reliable and valid tool for adolescents to measure some dimensions of loneliness.We confirmed the non-normal, relatively skewed distribution of the scale.We can conclude that the UCLA-LS measures a trait characteristic of loneliness.In the adolescent population, it is recommended to use further measures of loneliness to gain more information about the frequency and nature of the multi-faceted mental representation of loneliness.

Open Access: Yes

DOI: 10.5708/EJMH.19.2024.0034