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Publications - 6374

Evaluation of the Effectiveness of the Dual Career Support System for Athletes: Evidence from Hungary

Publication Name: TEM Journal

Publication Date: 2025-01-01

Volume: 14

Issue: 4

Page Range: 3843-3850

Description:

Athletes do not receive adequate and equal support in building their careers. This study aims to examine the unequal and inconsistent support systems available for the simultaneous development of sporting and educational careers. A purposive sampling method was applied, and data were collected through a self-designed questionnaire survey distributed via Google Forms. The data collected were analysed using IBM SPSS Statistics for Windows. The findings indicate that in Hungary, support systems are primarily material in nature, and mainly benefit a narrow segment of elite athletes enrolled in higher education. These systems have little or no significant impact on students of secondary school age. Most respondents reported support primarily from their families and their personal coaches. The vast majority of participants had not participated in professional programmes designed to facilitate dual career development. The results provide guidance for the development of competence-based training programmes that promote effective learning and life management skills. Such training should be incorporated into secondary school curricula as a matter of priority.

Open Access: Yes

DOI: 10.18421/TEM144-87

Comparison of Optical Flow-Based Linear Angular Rate Estimation Methods Considering Real Flight Data

Publication Name: IEEE International Conference on Control and Automation Icca

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 829-834

Description:

The angular velocities of an observer moving through an arbitrary scene can be obtained solely from mono camera image sequences, utilizing the optical flow. A major obstacle in this approach is that, the optical flow is non linearly related to the 3-D motion parameters. In this work three possible linear methods are presented to solve this nonlinear equation and then these methods are evaluated and compared using real mono camera images and real sensor measurements collected during two test flights.

Open Access: Yes

DOI: 10.1109/ICCA65672.2025.11129718

Characterization of the temporal pattern of cerebral blood flow oscillations

Publication Name: IEEE International Conference on Neural Networks Conference Proceedings

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 2467-2470

Description:

Oscillation of the cerebral blood flow (CBF) is a common feature in several physiological or pathophysiological states of the brain. It is a promising opportunity to identify the state of the brain based on the classification of CBF signals. In order to carry out classification of the time signals, a feature vector has been extracted to characterize the signals. Unsupervised classification showed that the extracted feature vector is an acceptable representation of the time signals. It also turned out that the difference between normal signal and a signal indicating drug injection effect is significant, and much more dominant than the difference between signals of the right and left brain sides. For the signal classification an Artificial Neural Network (ANN) model based on supervised backpropagation network has been developed and successfully applied.

Open Access: Yes

DOI: 10.1109/IJCNN.2004.1381016

Relationship between Some Myostatin Variants and Meat Production Related Calving, Weaning and Muscularity Traits in Charolais Cattle

Publication Name: Animals

Publication Date: 2023-06-01

Volume: 13

Issue: 12

Page Range: Unknown

Description:

The slaughter value of live cattle can be assessed during visual conformation scoring, as well as by examining different molecular genetic information, e.g., the myostatin gene, which can be responsible for muscle development. In this study, the F94L, Q204X, nt267, nt324 and nt414 alleles of the myostatin gene (MSTN) were examined in relation to birth weight (BIW), calving ease (CAE), 205-day weaning weight (CWW), muscle score of shoulder (MSS), muscle score of back (MSB), muscle score of thigh (MST), roundness score of thigh (RST), loin thickness score (LTS), and overall muscle development percentage (OMP) of Charolais weaned calves in Hungary. Multi-trait analysis of variance (GLM) and weighted linear regression analysis were used to process the data. Calves carrying the Q204X allele in the heterozygous form achieved approximately 0.14 points higher MSB, MST and LTS, and 1.2% higher OMP, and gained 8.56 kg more CWW than their counterparts not carrying the allele (p < 0.05). As for the F94L allele, there was a difference of 4.08 kg in CWW of the heterozygous animals, but this difference could not be proved statistically. The other alleles had no significant effect on the evaluated traits.

Open Access: Yes

DOI: 10.3390/ani13121895

A Multidimensional Analysis of Energy Poverty in the EU: Exploring Complex Drivers and Cross-Dimensional Impacts

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 1-6

Description:

Energy poverty remains one of the key obstacles to sustainable development, directly affecting households and increasingly influencing business operations as well. The research investigates the relationship between energy poverty and greenhouse gas (GHG) emissions in the EU, addressing the often-overlooked connection between social vulnerability, environmental impact, and local climate policy. The study utilizes EU-level indicators to assess energy poverty across member states and develops the Energy Poverty Integral Index (EPII) to quantify it through multidimensional socioeconomic indicators. Building on this, the authors introduce the Energy Poverty and Emissions Index (EPEI), a novel, three-dimensional composite index that integrates (1) energy poverty (via the EPII), (2) residential GHG emissions, and (3) participation in the Covenant of Mayors (CoM), a proxy for local climate policy engagement. By bringing these components together, the EPEI offers a new perspective for examining the intersection of energy deprivation, carbon intensity, and policy responsiveness across the EU. This makes it possible to identify country profiles and policy gaps where high energy poverty coincides with either high emissions or weak climate action. The findings reveal significant correlations between energy poverty and emissions in several EU-27 countries, with strong positive relationships in the Netherlands, Lithuania, and Romania. In contrast, some member states exhibit inverse patterns. Cyprus, Italy, and Germany stand out with the highest energy poverty rates. The study contributes by proposing a standardized framework that links energy poverty to environmental and governance dimensions, supporting more targeted and just climate-energy policy responses in the EU.

Open Access: Yes

DOI: 10.3303/CET25121001

Explaining the variation in sustainable development through the lens of key macroeconomic and environmental factors

Publication Name: Discover Sustainability

Publication Date: 2026-12-01

Volume: 7

Issue: 1

Page Range: Unknown

Description:

This paper investigates the role ofenvironmental and macroeconomic stabilityin achieving sustainable developmentin Pakistan from 1990 to 2022.The objective of this study is to investigate the contagion effects of both ecological and macroeconomic variables on Pakistan's sustainable development, employing the structural VAR methodology. The research addresses an important gap in the literature to jointly analyze macroeconomic stability and environmental sustainability within a unified framework for a developing economy like Pakistan. The need for this study arises from Pakistan’s dual challenges of persistent macroeconomic instability and rising environmental stress, which together threaten progress toward the Sustainable Development Goals (SDGs). Positive energy shocks are strongerth annegative shocks arising from CO2, external debt, and inflationin explicating variation inPakistan’s sustainable development. The study finds that renewable energy consumption has the most significant long-term impact on sustainable development, accounting for 33.83% of the forecast error variance. Overall, 55.50% of sustainable development is predicted by environmental factors,14.66% by macroeconomic variables, and 29.84% by its shock. Such results lead to accepting the hypothesis that ecological and macroeconomic stability significantly affect the sustainable development of Pakistan. In the long run, renewable energy consumption has a positive impact on sustainable development, promoting energy security, supporting economic growth, and maintaining environmental stability. The results of diagnostic tests suggest that the structural VAR approach is specified correctly. This study recommends that all economic policies be designed to highlight the need for comprehensive reforms that align economic stability with environmental resilience to achieve sustainable development. In the context of Pakistan, positive shocks arising from renewable energy consumption demonstrate a stronger influence on variations in sustainable development compared to negative shocks arising from CO₂ emissions, external debt, and inflation. This highlights the central role of energy transitions in achieving sustainability.

Open Access: Yes

DOI: 10.1007/s43621-025-02226-1

THE MEDIATING ROLE OF UNIVERSITY STUDENTS’ PSYCHOLOGICAL WELL-BEING IN THE RELATIONSHIP OF POVERTY PERCEPTION AND SOCIAL EXCLUSION

Publication Name: Economics and Sociology

Publication Date: 2024-01-01

Volume: 17

Issue: 2

Page Range: 194-208

Description:

A strong perception of poverty reduces the motivation to participate in social activities. Therefore, it can be argued that the perception of poverty positively affects social exclusion but that psychological well-being perceptions reflecting people's life satisfaction mediate this effect. This study investigates the mediator function of psychological well-being in the impact of poverty perception on social exclusion. This quantitative study employs the relational survey model, one of the general survey models. The data were collected from 714 university students using simple random sampling. The poverty perception scale, social exclusion scale, and psychological well-being scale were used to collect data in the research. The findings show that psychological well-being is a lever in the relationship between perceptions of poverty and social exclusion: while stronger perception of poverty parallels a more robust perception of social exclusion, a positive variable, such as psychological well-being, has an explanatory function in this relationship.

Open Access: Yes

DOI: 10.14254/2071-789X.2024/17-2/9

The effects of autonomous buses to vehicle scheduling system

Publication Name: Procedia Computer Science

Publication Date: 2020-01-01

Volume: 170

Issue: Unknown

Page Range: 235-240

Description:

We are more and more closer to time when mass value of autonomous vehicles is appearing in road traffic. The number of unanswered questions does not diminish but growing. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about self-driving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in a case of a Hungarian city, Eger. We show how much savings can be achieved by running autonomous buses in a European city with a population of 50,000 inhabitants. Our suppositions are only unsure statements what try to help in the preparing of the future.

Open Access: Yes

DOI: 10.1016/j.procs.2020.03.035

Numerical study on the micro-mechanical behaviour of artificial granular materials

Publication Name: Fib Symposium

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 86-93

Description:

Numerical models for the simulation of the micro-mechanical behaviour of granular assemblies have a wide range of applications, for instance in material science, process engineering, environmental engineering, railway engineering and geotechnical engineering (in this study we examined one macro-grain but what important is behaviour of granular assemblies). In this examination, experimental tests and numerical computations using the discrete element method (DEM) are carried out to evaluate the micro-mechanical behviour of the granular materials. For this purpose, artificial materials are taken into consideration for experimental Brazilian laboratory tests, and then according to the experimental results the DEM model is calibrated. Artificial crushable materials are produced by mixing cement and silt according to their mass ratio, in which cement can provide bonding and silt is the main filling material. In the DEM model, a 3D crushable granular material ‘macro-grain’ is built up from a large number of micro-grains which are associated according to crushable parallel bond properties. The behaviour of the single crushable grains and the fragmentation patterns under different contact configuration and load position are studied. The DEM simulation results show that the contact configuration type and load position affect the fragmentation patterns and loading capacity.

Open Access: Yes

DOI: DOI not available