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Found 6412 publications
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
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
Nermeen Abu-Elala
Prof Bhoomadevi A
Benjamin A. Stark
Nicole K. DeCleene
Prerna Agarwal
Emily C. Desai
Johnathan M. Hsu
Catherine O. Johnson
Laura Lara-Castor
Suneth Buddhika Agampodi
Sepehr Aghajanian
Prof Ahmed Abdelalim
Salahdein Aburuz
Omar M. Abdelfattah
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
Rahim Abo Kasem
Shady Abohashem
Nagah M. Abourashed
Dmitry Abramov
Anirudh Balakrishna Acharya
Ousman Adal
Meshack Achore
Habeeb Abiodun Afolabi
Hasan Aalruz
Arman Abdous
Auwal Abdullahi
Isaac Yeboah Addo
David Adedia
Richard Gyan Aboagye
Hassan Abolhassani
Ulric Sena Abonie
Abdullahi Tunde Aborode
Parsa Abdi
Wakgari Mosisa Abdisa
Victor Adekanmbi
Daba Abdissa
Prince Owusu Adoma
Oladimeji Muritala Adebayo
Kate E. LeGrand
Mohammad Abavisani
Mohammadreza Abbasian
Oyelola A. Adegboye
Kishor Adhikari
Leticia Akua Adzigbli
Arya Afrooghe
Dhiraj Motilal Agarwal
Temesgen Anjulo Ageru
David Adzrago
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
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
Effect of omega-3 polyunsaturated fatty acid supplementation on oxidative stress parameters and sex hormone levels of modern genotype sows
Publication Name: Veterinary Medicine and Science
Publication Date: 2023-01-01
Volume: 9
Issue: 1
Page Range: 191-202
Description:
Background: Sows are exposed to severe stress and hormonal challenges during their whole productive life. As polyunsaturated fatty acids play an important role in immune and reproductive functions, with a better understanding of their role in breeding sows’ nutrition, improved performance and more sustainable pig production can be achieved. Objectives: In this study, we investigated the effects of omega-6 and omega-3 fatty acid supplementation on the antioxidant status and hormone levels of sows. Methods: A total of 48 Danish Large white × Danish Landrace sows were supplemented either with sunflower oil (SO) as a control group or with fish oil (FO) as experimental group at the same dose of 10 g/kg feed. Blood samples were collected on day 14 of lactation, 5 days after weaning (insemination), and 30 days after insemination. To estimate antioxidant and reproductive effects, the amounts of reduced glutathione (GSH), thiobarbituric acid reactive substance, the activity of glutathione peroxidase (GPx), serum 17β oestradiol (E2), progesterone (P4), and 6-keto prostaglandin F1α (6-keto PGF1α) levels were investigated. Results: FO-based supplementation increased GPx activity on day 14 of lactation. Five days after weaning, the concentration of GSH in FO-fed sows was significantly higher than that in SO-fed sows. The E2 content of blood was significantly lower in the experimental group than in the control group for two of the three examined periods (day 14 of lactation and 30 days after insemination), whereas P4 levels were significantly higher in the experimental group 5 days after weaning. We found that 6-keto PGF1α levels were systematically lower in the experimental group throughout the trial. Conclusions: This study provides evidence of the major impact of omega-6 and -3 fatty acids on the tested hormone levels, which serve as precursors for the production of E2 and P4 but have an opposite effect on PGF2α production.
Open Access: Yes
DOI: 10.1002/vms3.1026
The role of demographic and socio-economic characteristics in affecting subjective well-being. The case of Hungary
Publication Name: Studies of Transition States and Societies
Publication Date: 2019-01-01
Volume: 11
Issue: 2
Page Range: 3-22
Description:
This paper investigates the influence of various demographic and social factors on the perception of well-being in Hungary. For the purpose of the analysis, various measures of subjective well-being have been developed as dependent variables using both narrower and broader sets of items, and a principal factor analysis was applied to construct normalised indices. Demographic predictors include gender, age, family composition, residence; sociological predictors contain education, labour market position, income and wealth as well as questions on health and religiosity. Hungary is an interesting case to study, given its well-known strong deficit in subjective wellbeing. The phenomenon is particularly motivating in light of the official propaganda from the governing political authorities on the country's economic and social progress. A low level of subjective well-being is confirmed again, partly in international comparisons, partly from the perspective of temporal change. Furthermore, a detailed analysis of the data reveals that Hungarians seem to be markedly divided into higher and lower assessments of well-being on the basis of age, residence and social status. Regression models prove that material conditions have the strongest impact on subjective well-being, even if controlled for education and labour market position. The results concerning subjective-wellbeing raise questions for public policy in Hungary.
Open Access: Yes
DOI: DOI not available
Crude oil Price forecasting: Leveraging machine learning for global economic stability
Publication Name: Technological Forecasting and Social Change
Publication Date: 2025-07-01
Volume: 216
Issue: Unknown
Page Range: Unknown
Description:
The volatility of the energy market, particularly crude oil, significantly impacts macroeconomic indices, such as inflation, economic growth, currency exchange rates, and trade balances. Accurate crude oil price forecasting is crucial to risk management and global economic stability. This study examines various models, including GARCH (1,1), Vanilla LSTM, GARCH (1,1) LSTM, and GARCH (1,1) GRU, to predict Brent crude oil prices using different time frequencies and sample periods. The LSTM and GARCH (1,1)-GRU hybrid models showed superior performance, with LSTM slightly better in predictive accuracy and GARCH (1,1)-GRU in minimizing squared errors. These findings emphasize the importance of precise crude oil price forecasting for the global energy market and manufacturing sectors that rely on crude oil prices. Accurate forecasting helps ensure economic sustainability and stability and prevents disruptions to production and distribution chains in both developed and emerging economies. Policymakers may choose to implement energy security measures in response to the significant impact of crude oil price volatility on the macroeconomic indicators. These measures could include maintaining strategic reserves, diversifying energy sources, and decreasing the dependence on volatile oil markets. By doing so, a country's ability to handle oil price fluctuations and ensure a stable energy supply can be enhanced.
Open Access: Yes
The University as a Hub of Attraction: Examining the Influence of Localization and Family on University Choice Decisions in Hungary
Publication Name: Education Sciences
Publication Date: 2026-04-01
Volume: 16
Issue: 4
Page Range: Unknown
Description:
This study seeks to examine the attractiveness of higher education institutions as community spaces for students and the significance of the services they provide. It aims to explore students’ perspectives on planning their long-term futures, particularly in assessing whether the university environment serves as a stronger influence than their place of origin or family background. The role of the university is particularly significant if it is located outside the student’s town of origin, so the student’s decision to attend a particular institution is not necessarily based on the specific undergraduate program or the prestige of the university. The study combines a review of the national and international literature with an empirical investigation, utilizing a questionnaire survey to analyze students’ decision-making processes. Many students perceived the university as a transitional “island”, offering a temporary space to inhabit before embarking on their future careers. The degree obtained serves as a “passport” to professional opportunities, while the university experience provides a unique community environment and represents a significant step toward independence and separation from familial influence. These findings hold particular relevance for universities, which are continually redefining their roles in response to changing student expectations. Many students view the university not merely as a site of learning but as a precursor to adulthood and a foundational space for personal growth. This study addresses a gap in the existing literature by focusing on the appeal of universities as local hubs and comparing their influence to the retaining power of family ties, offering insights for student development.
Open Access: Yes
ROS 2-Based Framework for Semi-Automatic Vector Map Creation in Autonomous Driving Systems †
Publication Name: Engineering Proceedings
Publication Date: 2025-01-01
Volume: 113
Issue: 1
Page Range: Unknown
Description:
High-definition vector maps, such as Lanelet2, are critical for autonomous driving systems, enabling precise localization, path planning, and regulatory compliance. However, creating and maintaining these maps traditionally demands labor-intensive manual annotation or resource-heavy automated pipelines. This paper presents an ROS 2-based framework for semi-automatic vector map generation, leveraging Lanelet2 primitives to streamline map creation while balancing automation with human oversight. The framework integrates multi-sensor inputs (LIDAR, GPS/IMU) within ROS 2 to extract and fuse road features such as lanes, traffic signs, and curbs. The pipeline employs modular ROS 2 nodes for tasks including NDT and SLAM-based pose estimation and the semantic segmentation of drivable areas which serve as a basis for Lanelet2 primitives. To promote adoption, the implementation is released as an open source. This work bridges the gap between automated map generation and human expertise, advancing the practical deployment of dynamic vector maps in autonomous systems.
Open Access: Yes
The density and biomass of Dreissena polymorpha living on submerged macrophytes in Lake Balaton (Hungary)
Publication Name: Archiv Fur Hydrobiologie
Publication Date: 2005-04-05
Volume: 162
Issue: 2
Page Range: 229-251
Description:
Dreissena polymorpha appeared and spread throughout Lake Balaton in the 1930s. We studied the density, the body length-body mass relationships and the biomass of D. polymorpha living on the submerged macrophytes in the littoral zone at four sites of different trophic status from May to October 2000. The dominant submerged macrophyte was Potamogeton perfoliatus in May/June and July and Myriophyllum spicatum in October, the fresh biomass of submerged macrophytes ranged between 450.64 and 3,171.51 g/m2, dry biomass ranged between 61.54 and 381.31 g/m2. D. polymorpha represented 2.48-84.85 % of all animals on submerged macrophytes. The density of zebra mussels ranged between 421 and 749,032 ind./m2, between 1 and 282 ind./g macrophyte fresh mass, and between 9 and 2,032 ind./g macrophyte dry mass. The body length-body mass relationships could be described by simple power function equations for fresh body mass with and without shell and dry body mass with and without shell. Zebra mussel biomass in Lake Balaton varied widely between 0.35 and 1,106.55 g fresh mass with shell/m2, between 0.01 and 50.96 g dry mass with shell/ m2, between 0.09 and 260.39 g fresh mass without shell/m 2 and between 0.002 and 6.49 g dry mass without shell/m2. The estimated respiratory organic carbon loss of total D. polymorpha population in the zone of submerged macrophytes ranged between 0.15 and 338.27 mg C/m 2 day, which is 0.04-154 % of planktonic primary production in different parts of the lake, illustrating the important role of this Ponto-Caspian invasive mussel in the matter-energy flux in Lake Balaton. The density of the zebra mussel (ind./m2) significantly depends on the type of submerged macrophytes and on the water depth. The type of submerged macrophytes and water depth have significant additive and interactive effects on the length of animals. Only the water depth determined significantly the biomass of zebra mussel. © 2005 E. Schweizerbart'sche Verlagsbuchhandlung.
Open Access: Yes
