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Authors - 9811
Ákos Kukovecz
57201750214
Gangadevi Ezhilarasan
59975815300
Dorottya Nagy
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Audi Hungaria
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Publications - 6374
The finite element modeling of rigid inclusion-supported embankment
Publication Name: Pollack Periodica
Publication Date: 2022-01-01
Volume: 17
Issue: 2
Page Range: 86-91
Description:
The design of supported embankments on soft soil is a common challenge for civil engineers. This article aims to evaluate the performance of three advanced constitutive models for predicting the behavior of soft soils, i.e., hardening soil, hardening soil model with small-strain stiffness, and soft soil creep. A case study of a rigid inclusion-supported embankment is used for this purpose. Plaxis 3D program was adopted to predict the settlements in subsoil layers and vertical stresses in the load transfer platform. Comparison between field measurements and result of Plaxis 3D modeling was performed. Results demonstrate that soft soil creep model yields predictions in a good agreement with the field measurements, while hardening soil small strain model gives slightly worst predictions.
Open Access: Yes
Ecosystems of industry 4.0 - Combining technology and human power
Publication Name: 11th International Conference on Management of Digital Ecosystems Medes 2019
Publication Date: 2019-11-12
Volume: Unknown
Issue: Unknown
Page Range: 115-119
Description:
IoT, digital twins, co-bots, drones, Artificial Intelligence, clouds are the system components of Industry 4.0, this trend born to face hypercompetition. It aims in renewing processes using available technologies and impacts the whole industry ecosystems including people, information processing and business models. While most of research works focus on technology, the industrial systems objectives are economic with recent environmental concern. This paper provides an overview of Industry 4.0 and discuss the importance of considering knowledge, people and planet in massive digitalization. It focus on the role of digital twins in transforming industry, presented in the context of ecosystems and discuss the role of Knowledge Innovation, environmental impact and the place of the humans in I4.0.
Open Access: Yes
Mathematical Analysis of Real-Time Data Processing Methods for IoT Applications Based on Hesitant Bipolar Fuzzy Dombi Power Operators
Publication Name: Systems and Soft Computing
Publication Date: 2026-06-01
Volume: 8
Issue: Unknown
Page Range: Unknown
Description:
The rapid growth of Internet of Things (IoT) technologies has made real-time data processing a critical component for efficient monitoring, analysis, and intelligent decision-making in dynamic and large-scale environments. IoT systems continuously generate massive volumes of heterogeneous data that must be processed with minimal latency to ensure timely responses and reliable system performance. Effective real-time data processing enables IoT applications to adapt to changing conditions, enhance operational efficiency, improve safety and reliability, and support time-sensitive services in domains such as smart cities, healthcare monitoring, industrial automation, and intelligent transportation systems. This study presents a comprehensive mathematical framework for the analysis of real-time data processing methods for IoT applications based on hesitant bipolar fuzzy (HBF) Dombi power operators. The proposed model is designed to effectively capture uncertainty, hesitation, and bipolar information that naturally arise in real-world IoT environments due to incomplete, imprecise, and conflicting data sources. By incorporating a multi-criteria decision-making (MCDM) approach, multiple real-time data processing techniques are systematically evaluated and prioritized with respect to several performance-related attributes. The proposed HBF Dombi power-based framework offers a reliable and transparent mechanism for comparing competing real-time data processing strategies and selecting the most suitable method for specific IoT scenarios. The results indicate that the proposed approach improves decision accuracy and supports better alignment between data processing methods and the complex operational requirements of modern IoT systems. This work contributes both theoretical insights and practical guidance for the design and evaluation of efficient, adaptive, and intelligent real-time IoT data processing architectures.
Open Access: Yes
Global, Regional, and National Burden of Cardiovascular Diseases and Risk Factors in 204 Countries and Territories, 1990-2023
Nermeen Abu-Elala
Rana Kamal Abu Farha
Madineh Abbasi
Abdallah H.A. Abd Al Magied
Eman Abu-Gharbieh
Kamoru Ademola Adedokun
Nurudeen A. Adegoke
Lisa C. Adams
Mesfin Abebe
Armita Abedi
A. Bhoomadevi
Mohammad Amin Aalipour
Bedru J. Abafita
Ukachukwu O. Abaraogu
Dariush Abtahi
Ripon Kumar Adhikary
Mohd Adnan
E. S. Abhilash
Hasan Aalruz
Hana J. Abukhadijah
Muhammad Sohail Afzal
Nasir Abbas
Bedru J. Abafita
Tanin Adl Parvar
César Agostinis Sobrinho
Saira Afzal
Samar Abd ElHafeez
Navidha Aggarwal
Olorunsola Israel Adeyomoye
Benjamin A. Stark
Nicole K. DeCleene
Nermeen Abu-Elala
Emily C. Desai
Johnathan M. Hsu
Prof Bhoomadevi A
Laura Lara-Castor
Kate E. LeGrand
Catherine O. Johnson
Mohammad Abavisani
Mohammadreza Abbasian
Prerna Agarwal
Temesgen Anjulo Ageru
Oladimeji Muritala Adebayo
Suneth Buddhika Agampodi
Sepehr Aghajanian
Prof Ahmed Abdelalim
Omar M. Abdelfattah
Daba Abdissa
Salahdein Aburuz
Prof Reda Abdel-Hameed
Prof Wael M Abdel-Rahman
Mahmoud Abdelnabi
Lucas Guimarães Abreu
Prof Olumide Abiodun
Rui Adão
Apurba Acharya
Mujahid Abdullah
Aminu Kende Kende Abubakar
Ibrahim Jatau Abubakar
Swetha Acharya
Charles Oluwaseun Adetunji
Rishan Adha
Wirawan Adikusuma
Lawan Hassan Adamu
Qorinah Estiningtyas Sakilah Adnani
Gina Agarwal
Ahmed M. Afifi
Fatemeh Afrashteh
Hedayat Abbastabar
Samar Abd ElHafeez
Asrat Agalu Abejew
Kulmira Abdykerimova
Aidin Abedi
Olugbenga Olusola Abiodun
Shady Abohashem
Nagah M. Abourashed
Rahim Abo Kasem
Dmitry Abramov
Meshack Achore
Anirudh Balakrishna Acharya
Habeeb Abiodun Afolabi
Ousman Adal
Hasan Aalruz
Arman Abdous
Auwal Abdullahi
Isaac Yeboah Addo
David Adedia
David Adzrago
Oyelola A. Adegboye
Kishor Adhikari
Richard Gyan Aboagye
Hassan Abolhassani
Ulric Sena Abonie
Abdullahi Tunde Aborode
Parsa Abdi
Wakgari Mosisa Abdisa
Victor Adekanmbi
Prince Owusu Adoma
Leticia Akua Adzigbli
Arya Afrooghe
Dhiraj Motilal Agarwal
Dina Abushanab
Tajudeen Adesanmi Adebisi
Oluwatobi E. Adegbile
Olumide Thomas Adeleke
Nasir Abbas
Salahdein Aburuz
Publication Name: Journal of the American College of Cardiology
Publication Date: 2025-12-02
Volume: 86
Issue: 22
Page Range: 2167-2243
Description:
Background: Cardiovascular diseases (CVDs) are the leading cause of mortality and are among the foremost causes of disability globally. CVD burden has continued to increase in most countries since 1990, with trends driven by changing exposures to harmful risk factors, population growth, and population aging. Objectives: We report estimates of global, national, and subnational CVD burden, including 18 subdiseases and 12 associated modifiable risk factors. We analyzed change in CVD burden from 1990 to 2023 and identified drivers of change including population growth, population aging, and risk factor exposure. Methods: The Global Burden of Disease (GBD) 2023 study, a multinational collaborative research study, quantified burden due to 375 diseases including CVD burden and identified drivers of change from 1990 to 2023 using all available data and statistical models. GBD 2023 estimated the population-level burden of diseases in 204 countries and territories from 1990 to 2023. Results: CVDs were the leading cause of disability-adjusted life years (DALYs) and deaths estimated in the GBD. As of 2023, there were 437 million (95% UI: 401 to 465 million) CVD DALYs globally, a 1.4-fold increase from the number in 1990 of 320 million (292 to 344 million). Ischemic heart disease, intracerebral hemorrhage, ischemic stroke, and hypertensive heart disease were the leading cardiovascular causes of DALYs in 2023 globally. As of 2023, age-standardized CVD DALY rates were highest in low and low-middle Socio-demographic Index (SDI) settings and lowest in high SDI settings. The number of CVD deaths increased globally from 13.1 million (95% UI: 12.2 to 14.0 million) in 1990 to 19.2 million (95% UI: 17.4 to 20.4 million) in 2023. The number of prevalent cases of CVD more than doubled since 1990, with 311 million (95% UI: 294 to 333 million) prevalent cases of CVD in 1990 and 626 million (95% UI: 591 to 672 million) prevalent cases in 2023 globally. A total of 79.6% (95% UI: 75.7% to 82.5%) of CVD burden is attributable to modifiable risk factors 347 million [95% UI: 318 to 373 million] DALYs in 2023). Globally, high systolic blood pressure, dietary risks, high low-density lipoprotein cholesterol, and air pollution were the modifiable risks responsible for most attributable CVD burden in 2023. Since 1990, changes in exposure to modifiable risk factors have had mixed effects on CVD burden, with increases in high body mass index, high fasting plasma glucose, and low physical activity leading to higher burden, while reductions in tobacco usage have mitigated some of these increases. Population growth and population aging were the main drivers of the increasing burden since 1990, adding 128 million (95% UI: 115 to 139 million) and 139 million (95% UI: 126 to 151 million) CVD DALYs to the increase in CVD burden since 1990. Conclusions: CVD remains the leading cause of disease burden and death worldwide with the greatest burden in low, low-middle, and middle SDI regions. Large variation exists in CVD burden even for countries at similar levels of development, a gap explained substantially by known, modifiable risk factors that are inadequately controlled. The decades-long increase in CVD burden was the result of population growth, population aging, and increased exposure to a subset of risk factors led by metabolic risks. Countries will need to adopt effective health system and public health strategies if they are to progress in achieving global goals to reduce the burden of CVD.
Open Access: Yes
Effect of fermented liquid feeds on production parameters and gut microbiota composition of weaned piglets and growing pigs
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2022-01-01
Volume: 144
Issue: 8
Page Range: 463-472
Description:
In their review, the authors present the results of research evaluating the effect of fermented liquid feed on the performance and digestive health of weaned piglets and fattening pigs. Based on the available literature, it is advisable to carry out controlled fermentation instead of spontaneous fermentation, because by inoculating the feed / raw materials with specific lactic acid bacteria, the fermentation process goes in the right direction, lower pH values can be achieved within the same timeframe, which all help to control the acid-sensitive pathogenic microbes. The fermentation of only certain raw materials, as opposed to a complete diet, has the advantage of better controllability, and the incorporation of these fermented end products into final diets provides farms with increased flexibility. During fermentation, the particle size of the feed / raw materials and the levels of antinutritive substances are reduced, thereby increasing their digestibility. Feeding studies have shown that improvement in nutrient utilization is primarily due to better bioavailability of nutrients, as opposed to increased feed intake. Several works have demon-strated that fermented liquid feeds significantly reduce the pH of gastric juice, Salmonella spp. levels and the chance of developing diarrhoea caused by coliforms in piglets. Fermented feeds support gut health, thus also playing an immunomod-ulatory role. Taking all this into account, the authors believe that fermented liquid feeds in nutrition of pigs may be an effective alternative after the antibiotic reduction provisions come into force in the European Union in 2022.
Open Access: Yes
DOI: DOI not available
Genotyping of four loci in Hungarian yellow and broiler chickens
Publication Name: Acta Veterinaria Hungarica
Publication Date: 2019-01-01
Volume: 67
Issue: 1
Page Range: 1-10
Description:
Traditional selection has led to remarkable differences in allele frequencies among various chicken breeds. Indigenous and broiler-type chicken populations were genotyped for polymorphisms in thyroid hormone responsive Spot14α, prolactin (PRL), IGF-binding protein 2 (IGFBP2), and somatostatin (SST) genes in order to determine potential utilisation type-associated allele frequencies. Significant (P < 0.05) differences were detected between Hungarian Yellow and broiler populations for Spot14α, PRL, and IGFBP2 allele frequencies, whereas the same SST allele (A) was fixed in both groups. In this study, the most significant associations (P < 0.05) were found between the IGFBP2 genotypes and the measured traits (body weight, carcass weight, breast muscle weight with or without skin, breast muscle weight as a percentage of carcass weight) in the broiler population. The results can be applied for the evaluation of polymorphism effects in the analysed populations; however, contradictory allele effects in different breeds and hybrids indicate the need for cautious marker utilisation in selection programmes.
Open Access: Yes
DOI: 10.1556/004.2019.001
Doing more with less: the role of institutional quality in enhancing energy efficiency in Italy’s “hard-to-abate” sectors
Publication Name: Journal of Industrial and Business Economics
Publication Date: 2026-06-01
Volume: 53
Issue: 2
Page Range: 825-867
Description:
This paper investigates the role of institutional quality in enhancing energy efficiency within Italy’s “hard-to-abate” industrial sectors, which include cement and lime, glass and ceramics, metal, pulp and paper, and refineries. These sectors account for a significant share of global energy consumption and CO2 emissions and face unique challenges in decarbonization. Using a novel dataset from the EU Emissions Trading System (EU ETS), covering 329 Italian plants from 2013 to 2019, the study applies the Directional Distance Function (DDF) to measure energy efficiency and explores the impact of institutional quality on energy performance through Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression. The analysis highlights greater energy efficiency among multi-plant firms, firms in the pulp and paper sector, and firms located in Central Italy. Regression results further show that institutional quality has a significant positive effect on energy efficiency, especially in competitive markets, among multi-plant and non-innovative firms, in Northern regions, and in the glass and ceramics and metal sectors. This paper contributes to the literature by underscoring the importance of institutional quality in driving energy efficiency in energy-intensive sectors and offers policy implications for promoting industrial decarbonization.
Open Access: Yes
Nascent entrepreneurship at Hungarian universities: Experiences of the Hungarian Startup University Program
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
Comparative analysis of labour markets in Ukraine, Armenia, Moldova, and Estonia: Institutional approach, 1995–2020
Publication Name: Regional Statistics
Publication Date: 2023-01-01
Volume: 13
Issue: 1
Page Range: 149-166
Description:
The study investigates the labour market and economic transformation in Armenia, Estonia, Moldova, and Ukraine. After the 30th anniversary since gaining independence. all 15 former Soviet states demonstrated different speeds and results of economic transition. While Estonia is known as the most successful post-Soviet state, Ukraine and Moldova are still transforming their economies towards joining the EU, and Armenia is part of the pro-Russian economic bloc. This study aims to compare labour markets through the prism of institutional transformations. The econometric modelling revealed the relationship between institutional aspects of the labour market and further economic development. The labour market of the post-Soviet countries in general, and those of Ukraine, Armenia, Moldova, and Estonia in particular, do not constitute a significant part of the global labour market. However, their important regional features allow us to assess the level of institutional transformations of the economies of these countries. The tools and methodological approaches used in this study can be used for further research in the field of labour and institutional economics to understand the transformational processes of different speeds that are taking place in the post-Soviet space. The choice of countries for research is due to their inclusion in the economic complex of the former USSR, being in Europe, the polarity of the integration course, similar demographic trends, and since the authors of this study had the opportunity to visit these countries in 2020–2021. The random-effect regression model results indicated that the life expectancy at birth has a statistically significant impact on GDP, unlike traditional labour market indicators such as years of schooling, unemployment, and female participation in labour force
Open Access: Yes
DOI: 10.15196/RS130107
