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Authors - 9811
Wogene Kabato
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Valerijus Rašomavičius
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Mohamed Abdelwahed
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Publications - 6374
Social services in the social security system of family support
Publication Name: Orvosi Hetilap
Publication Date: 2019-02-01
Volume: 160
Issue: Unknown
Page Range: 43-48
Description:
Introduction and aim: In my study, analysing the data available from the change of the regime to the present day, from among the social services, I examine the changes of the financial support relating to children and its parts which are currently financed from the budget of the National Health Insurance Fund of Hungary, with special emphasis on the Child Care Benefit and the Child Care Allowance and their modifications. Data and methods: Within the framework of our research, we analyze – through data from the National Health Insurance Fund of Hungary, the Hungarian Central Statistical Office, the Organisation for Economic Co-operation and Development (OECD) and the Hungarian State Treasury as well as on the basis of literature review – the social financial support and its changes, within the family policy system. Results: Hungarian family policy is still driven by the attitude of staying at home for three years with the child. The long period spent at home with the children fundamentally affects the adjustment of mothers to the labour market which has a direct effect on the economic productivity. Even though according to the current regulations, mothers are allowed to work full-time besides receiving child care allowance after their child fills 6 months, part-time employment and telework is still in its infancy compared to the Western-European countries. Based on our research, high percentage of families go for the child care benefit directly after the birth of the child thus not participating in the labour market processes. Besides if they do participate, the percentage of employment on minimal wage is still very high which means that in 2016–2017 36% of families with two breadwinners and two children were forced to survive on subsistence income. Conclusion: In the examined period, we found that social and family policy changes unfortunately were not able to react sufficiently to the demographic challenges despite Hungary spending significantly more on family policy than other European and OECD countries.
Open Access: Yes
Shifting Employment: Labor Challenges in Czechia, Hungary and Slovakia Beyond the Pandemic
Publication Name: Administrative Sciences
Publication Date: 2026-05-01
Volume: 16
Issue: 5
Page Range: Unknown
Description:
The employment and labor market landscape has undergone significant transformations globally, including the three Central European countries examined in this study. Over the past decades, organizations in this region have transitioned from a state of full employment to labor shortages, raising the question: What factors have driven these changes? Our study aims to present a theoretical framework highlighting key macro-level factors, such as demographic trends, economic development, labor market dynamics, the impact of the COVID-19 pandemic, and the role of robotization and artificial intelligence. Based on two empirical studies conducted in 2019 and 2022 among Czech, Hungarian, and Slovak organizations, we analyzed the extent and causes of labor shortages, as well as the labor market effects of robotization. Using descriptive and non-parametric statistical methods, including frequency analysis and Mann–Whitney U tests, the study examined key trends and compared the two periods to identify significant shifts. The analytical approach of this study primarily aims to compare perceptions across occupational groups and between the two survey waves (2019 and 2022). Because most variables were measured on ordinal Likert-type scales and the datasets represent independent cross-sectional samples rather than a panel dataset, non-parametric methods were considered the most appropriate. More advanced causal modeling techniques, such as regression or factor analysis, were not applied because the objective of the research was exploratory and comparative rather than to establish causal relationships between variables. The findings reveal significant shifts in the perceived causes of labor shortages across occupational groups in the surveyed Central European organizations. In particular, increasing labor shortages were observed in specific job categories, alongside changes in the relative importance of the underlying drivers of labor shortages. While adopting robotization and artificial intelligence has been positively received, demographic decline and emigration remain critical challenges. The study provides practical insights for policymakers and corporate leaders regarding labor market challenges, workforce planning, and the potential role of robotization and artificial intelligence in addressing labor shortages. Although the research is based on a non-representative sample, it offers valuable insights into the Central European region’s employment and labor market trends. Future research could examine whether, in hard-to-fill positions, robotization and AI primarily provide indirect support by augmenting and reallocating human work, or whether they may serve as direct substitutes.
Open Access: Yes
Accurate multi-phase unsupervised and supervised approach to fault detection in power transmission networks
Publication Name: Neural Computing and Applications
Publication Date: 2025-08-01
Volume: 37
Issue: 24
Page Range: 19751-19772
Description:
Transmission line faults can cause both power loss and failure. To mitigate the effects of such faults, the energy supply must quickly identify and remove faults, as well as ensure grid restoration after a failure occurs. As a result, it is critical to design a system capable of quickly and reliably identifying and eliminating errors. The level of fault identification accuracy is an important indicator for ensuring the reliability of main equipment in power systems, such as generators and transformers. This paper proposes a two-phase approach for identifying faults in transmission systems. In the first phase, unsupervised learning techniques like K-Mean clustering are used to assign labels to datasets for transmission line fault classification. During the second phase, four machine learning techniques called logistic regression (LR), decision tree classifier (DTC), random forest classifier (RFC), and XGBoost Classifier (XGB) are employed to identify faults. Applications are validated on fault detection datasets. The tested approach provides an efficient model for fault detection and classification in transmission lines, as well as a productive framework for fault detection prediction based on machine learning and ensemble learning methods. The experimental simulation results from this study show an accuracy of 83.6% for LR, 99% for DTC, 99% for RFC, and 99.9% for XGB, LightGBM, and CatBoost at 0.99995%. The paper's findings demonstrate the effectiveness of machine learning and ensemble learning techniques in accurately identifying and classifying transmission line faults at competitive performance indices.
Open Access: Yes
Exploring factors of service adoption using SERVQUAL paradigm: Its impact on millennials’ adoption of services in the self-drive rental sector
Publication Name: Innovative Marketing
Publication Date: 2024-01-01
Volume: 20
Issue: 2
Page Range: 182-192
Description:
The self-drive rental sector has witnessed exponential growth in recent years due to rising demand for long and short-distance drives among millennials. This study aims to investigate the quality of services in the self-driving rental sector and its impact on customer adoption or rejection of service in India. The conceptual framework was developed using the SERVQUAL model and other important factors affecting consumers’ service adoption. A quantitative research method was deployed, and data were gathered through a survey method using a structured questionnaire (based on a 5-point Likert scale). The sample size comprised 385 respondents, 23-38 years old millennials (with 69% of males and 31% of females). The population sample was chosen from Delhi, Mumbai, and Bangalore, India. The data were collected in March 2023. The factor and regression analyses were applied along with chi-square and SEM analyses to test the research hypotheses. The results indicated that the absence of low prices (42%), customer assistance (28 %), and security issues is responsible for consumer rejection. The factors leading to dissatisfaction are the absence of consumer schemes and discounts, a lack of staff interaction and assistance, and poor service quality. The brands must focus on the negative impact arising from the absence of these factors and effectively address the areas of improvement to regain customer trust and garner customer loyalty.
Open Access: Yes
On classical and fuzzy Hough transform in colonoscopy image processing
Publication Name: IEEE AFRICON Conference
Publication Date: 2021-09-13
Volume: 2021-September
Issue: Unknown
Page Range: Unknown
Description:
Hough transform is used to find lines on edge-filtered images that are given in parametric form. As the fuzzy extension of the Hough transform has been proven to be more robust in environments where the lines to be found by them are not strictly following the formula given by the parametric equation of the Hough transform due to noise and weak and blurred contours, in the following considerations, we study the applicability of the circular fuzzy Hough transform for analyzing colonoscopy pictures and detecting colorectal polyps.
Open Access: Yes
Inhomogeneous Financial Markets in a Low Interest Rate Environment—A Cluster Analysis of Eurozone Economies
Publication Name: Risks
Publication Date: 2022-10-01
Volume: 10
Issue: 10
Page Range: Unknown
Description:
In the present paper, we investigate the financial homogeneity of the euro area economies by contrasting eurozone countries’ responses to monetary policy steps to the theoretical assumptions of the liquidity trap phenomenon. Our assumption is that the euro area economies are not completely homogeneous. Hence, in a zero-interest rate environment, the asset holding decisions of economic agents exhibit detectable differences across countries. We verify our assumptions using Eurostat data. We use the financial asset stocks of the euro area countries to cluster the countries concerned. Previous literature has not examined changes in the ratio of financial assets to GDP, nor differences in structural changes in the total stock of financial assets under the zero lower bound. The paper uses k-centers cluster analysis based on Euclidean distance for detecting changes in the portfolio holdings of eurozone economic actors owing to economic crises and monetary policy responses. The results confirm that euro area financial markets are fragmented. There are significant differences across asset markets of different Eurozone countries, both during and after the crisis. Despite some similarities in the portfolio rearrangement across countries, the ECB’s monetary policy does not have a uniform impact on euro area financial markets, and notable differences prevail in the financial asset structures of the economies concerned.
Open Access: Yes
Kulturális metaforák és sémák a magyar népdalok FOLYÓ-reprezentációiban
Publication Name: Magyar Nyelv
Publication Date: 2018-01-01
Volume: 114
Issue: 2
Page Range: 156-168
Description:
No description provided
Open Access: Yes
Nutritional prospects of some wild edible medicinal plants of District Harnai Balochistan, Pakistan
Publication Name: Food Science and Technology Brazil
Publication Date: 2023-01-01
Volume: 43
Issue: Unknown
Page Range: Unknown
Description:
The aim of this research work was to evaluate the nutritional worth of some wild edible medicinal plants of District Harnai, Balochistan. Five wild edible medicinal plants (WEMPs) viz., Ficus carica L., Morus alba L., M. nigra L., Olea ferruginea Royle and Pistacia khinjuk Stocks were collected from study area. Proximate and mineral composition of leaf and fruit samples were quantified. Proximate composition revealed that leaf samples contained significant amount of dry matter, ash and protein content in O. ferruginea and fat content and Crude fiber in F.carica, Total carbohydrates and Organic matter in P. khinjuk comparatively. Further data highlighted fruit samples as rich source of organic matter, fat content and total carbohydrate (F.carica), Dry matter (P. khinjuk), Ash and protein content (M. alba) and Crude fiber (M. nigra). Similarly, mineral composition revealed a wide variability of macro and micronutrients in leave and fruit samples of selected WEMPs. The overall results obtained in this study have showed that F. carica and M. alba. may serve as good source of many important macro-nutrients viz., N, Ca, K, Mg, S and P. Whereas, M. alba followed by M. nigra may be considered as an excellent source of essential micro nutrients including Al, B, Cr, Fe, Mn, Ni, Sr and Zn. Each selected wild plant manifested variable levels of mineral and proximate compositions representing that all the investigated WEMPs are rich source of nutrients that can fulfil the needs of nutrition while M. alba, M. nigra and F. carica are rich and easily available sources of essential nutrients for human diet.
Open Access: Yes
DOI: 10.1590/fst.115922
Health insurance pharmaceutical expenditures in Hungary
Publication Name: Orvosi Hetilap
Publication Date: 2019-02-01
Volume: 160
Issue: Unknown
Page Range: 49-54
Description:
Introduction: In Hungary, health expenditures –especially the question of health insurance subsidies for medicinal products –are becoming increasingly important. Aim: The aim of our analysis is to reveal the state's health insurance expenditure between 2010 and 2016 as well as the amount of health insurance subsidies for medicinal products. Data and methods: Data were derived from the database of the National Health Insurance Fund of Hungary and of the Hungarian Central Statistical Office. During the analysis we examined the period between 2010 and 2016. We analysed the health expenditures in proportion to the gross domestic product (GDP) as well as the changes of drug traffic based on gross consumer prices and those of health insurance subsidies, and also our regional inequalities. When writing the present study, we used descriptive statistical methods. Results: The expenditures of the National Health Insurance Fund of Hungary significantly increased as proportions of the GDP from 5.5% in 2010 to 6.1% in 2016. The health insurance subsidies for medicinal products increased since 2013. The highest health insurance subsidies per 10 000 inhabitants could be seen in Baranya (405 788 HUF/ inhabitant) and Csongrád (384 724 HUF/inhabitant) counties and in Budapest (377 316 HUF/inhabitant). The lowest health insurance subsidies were found in Nógrád (289 168 HUF/inhabitant) and Szabolcs-Szatmár-Bereg (271 104 HUF/inhabitant) counties. Conclusion: The trends of health and drug expenditure show a growing tendency. We can find significant regional inequalities in case of both the drug traffic based on gross consumer prices and the health insurance subsidies. It would be needed to strengthen the elements of prevention, and to popularize health-conscious lifestyle and doing sports.
Open Access: Yes
