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Publications - 6383

High prevalence of burnout among midwives in Hungary: High job demands and low resources as potential persistent stressors, a focus on prevention

Mihály Dió Ibolya Lipienné Krémer József Vitrai Szilvia Ádám Zsuzsanna Soósné Kiss

Publication Name: Heliyon

Publication Date: 2024-01-30

Volume: 10

Issue: 2

Page Range: Unknown

Description:

Background: Midwifery practice in Hungary is characterized by chronic stress, which may in turn lead to burnout and impaired perinatal care. However, little is known about the degree and potential stressors of burnout, which hinder the development of strategies to promote well-being among midwives in Hungary. Aim: To assess the prevalence of burnout and identify persistent individual and occupational stressors among midwives in Hungary over the past decade to inform prevention. Methods: We conducted two cross-sectional studies among midwives in 2014 and 2022. We used the Maslach Burnout Inventory to assess burnout (emotional exhaustion, depersonalization, and personal accomplishment) over time. We also collected data on individual and work characteristics. We performed a multivariate regression analysis to explore associations between burnout and respondents' characteristics. Findings: The degree and prevalence of emotional exhaustion among midwives increased significantly between 2014 (N = 224) and 2022 (N = 152). High workload, not feeling valued at work, poorly perceived health status and work dissatisfaction emerged as a significant positive correlate of emotional exhaustion or depersonalization in both studies. Living alone showed both a positive and inverse association with burnout in 2014 and 2022, respectively. Work satisfaction was a positive correlate of personal accomplishment in both studies. Conclusions: Our results add to and confirm the growing body of evidence about the high prevalence of burnout among midwives in Hungary. We identified potential risk factors and outcomes of burnout, which remained unchanged over time. To prevent or reduce burnout among midwives, future interventions should focus on addressing these potential persistent risk factors. However, the time-varying role of factors influencing burnout makes it advisable to review preventive interventions from time to time.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e24495

Mega-FTAs in the Asia-Pacific region: A Japanese perspective

Eszter Lukács Katalin Völgyi

Publication Name: European Journal of East Asian Studies

Publication Date: 2018-01-01

Volume: 17

Issue: 1

Page Range: 158-175

Description:

The emerging wave of mega-FTAs during the global economic crisis era has so far attracted considerable academic attention. This paper primarily investigates two of the mega-FTAs, namely TPP and RCEP, from the perspective of Japan. It focuses on Japan's role and interests in the launch of mega-FTAs and how Japan tries to keep them on track, with protectionism on the rise worldwide (particularly on the US side).

Open Access: Yes

DOI: 10.1163/15700615-01701008

Hybrid model of vehicle and traffic for combined dynamic analysis

I. Lakatos T. Péter

Publication Name: International Journal of Heavy Vehicle Systems

Publication Date: 2017-01-01

Volume: 24

Issue: 2

Page Range: 97-112

Description:

Analysis and research of vehicle dynamics processes is a complex task that should be carried out taking into account the real traffic and environment. To this end, the examined hybrid model is the union of the vehicle dynamics model and the traffic network process model. In their relationship, drivers or automatic pilots play a decisive role, who take into account both systems alike.

Open Access: Yes

DOI: 10.1504/IJHVS.2017.083095

Attitudes towards sustainable mobility technologies: Insights from electric vehicle adoption

Boglárka Eisingerné Balassa Réka Koteczki Boglárka Eisinger Balassa

Publication Name: Social Sciences and Humanities Open

Publication Date: 2026-06-01

Volume: 13

Issue: Unknown

Page Range: Unknown

Description:

The uptake of electric vehicles (EVs) plays a key role in the development of environmentally friendly transport solutions. This study explores factors influencing EV adoption in Hungary, with a particular focus on infrastructural and digital elements. Building on the theoretical foundations of technology acceptance models, the research shifts attention from individual psychological variables to objectively measurable external factors. The rationale for focusing on Hungary lies in its status as a post-communist, structurally constrained country with uneven access to digital services and public charging infrastructure. A nationally representative questionnaire survey of 2000 respondents was conducted to examine the intention to purchase EVs and its predictors. Regression results show that the availability of charging stations has a significant but weak effect on purchase intention (β = 0.145, p < 0.001, R2 = 2.1–2.5 %). Mobile internet coverage showed minimal impact (β = 0.087, p < 0.001, R2 = 0.8–1.4 %). Traffic congestion was positively associated with EV purchase intention (β = 0.168, p < 0.001, R2 = 2.9–3.3 %), indicating that residents of congested urban areas show greater interest in EVs. The findings suggest that while infrastructure matters, it alone is insufficient. An integrated strategy combining public incentives, infrastructure investment, and consumer education is needed to foster EV uptake. For policymakers and automotive stakeholders, the results highlight the importance of cost reduction, supportive regulation, and long-term sustainability benefits in promoting EV adoption in transition economies.

Open Access: Yes

DOI: 10.1016/j.ssaho.2025.102379

Potential benefit of microalgae and their interaction with bacteria to sustainable crop production

Zoltán Molnár Tibor Janda Lamnganbi Mutum Wogene Kabato

Publication Name: Plant Growth Regulation

Publication Date: 2023-09-01

Volume: 101

Issue: 1

Page Range: 53-65

Description:

Agriculture is undergoing a paradigm shift as it moves away from relying only on agrochemicals toward natural-based product to enhance plant growth and productivity while sustainably maintaining soil quality and productivity. In this sense, microalgae and bacteria offer a unique potential due to the growing use of novel and eco-friendly products such as biofertilizers, biostimulants, and biopesticides. Microalgae improve crop growth and health by fixing nitrogen, releasing soil trace elements, solubilizing potassium, and phosphorus, producing exopolysaccharides, and converting organic matter into utilizable nutrients. They also release bioactive substances including, carbohydrates, proteins, enzymes, vitamins, and hormones, to promote plant growth, control pests, and mitigate plant stress responses. Even though it has long been known that microalgae produce various bioactive and signaling molecules (like phytohormones, polysaccharides, lipids, carotenoids, phycobilins, and amino acids) which are effective in crop production, the targeted applications of these molecules in plant science are still in the very early stages of development. Microalgae are beneficial to bacteria because they produce oxygen and extracellular chemicals, and bacteria, in turn, provide microalgae with carbon dioxide, vitamins, and other nutrients in exchange. This review discusses the possible role of microalgae in increasing crop yield, protecting crops, and maintaining soil fertility and stability, and it points out that interactions of microalgae and bacteria may have a better enhancement of crop production in a sustainable way than using either of them alone.

Open Access: Yes

DOI: 10.1007/s10725-023-01019-8

A fuzzy information propagation algorithm for social network based recommender systems

Gergely Posfai Gabor Magyar László T. Kóczy

Publication Name: Advances in Intelligent Systems and Computing

Publication Date: 2017-01-01

Volume: 462

Issue: Unknown

Page Range: 35-49

Description:

Web-based services that have become prevalent in people’s everyday life generate huge amounts of data, which makes it hard for the users to search and discover interesting information. Therefore, tools for selecting and delivering personalized contents for users are crucial components of modern web applications. Social recommender systems suggest items to users assuming the knowledge of the users’ social network. This new approach can alleviate the common weaknesses of traditional recommender systems, which completely ignore the users’ personal relationships in the recommendation process. In this paper, a social network based fuzzy recommendation technique is presented, which propagates information through the users’ social network and predicts how users would probably like a certain product in the future. Experimental results on a public dataset show that the proposed method can significantly outperform popular and widely used recommendation system methods in terms of recommendation coverage while maintaining prediction accuracy and performs especially well for cold start users, that have only rated a few items or no item at all previously.

Open Access: Yes

DOI: 10.1007/978-3-319-44260-0_3

Parallel simulation methodological issues for creating 3D nanostructures

István László Dávid Fülep

Publication Name: International Journal of Mathematics and Computers in Simulation

Publication Date: 2015-01-01

Volume: 9

Issue: Unknown

Page Range: 222-227

Description:

We introduce our approach to the calculation of the growing 3D carbon nanostructures from graphene nanoribbons. Our computer simulations face performance and efficiency issues so we make efforts to make our simulation method faster. Density Functional based Tight-Binding (DFTB) Molecular Dynamics (MD) simulations were performed in hybrid multi CPU - multi GPU environment. Using these self-developed IT tools we get closer to understanding self-organized growing of nanotubes which can be the basic bricks of nano-sized electric circuits in the near future.

Open Access: Yes

DOI: DOI not available

A novel pose estimation algorithm for robotic navigation

Claudiu Radu Pozna Péter Földesi Radu Emil Precup

Publication Name: Robotics and Autonomous Systems

Publication Date: 2015-01-01

Volume: 63

Issue: P1

Page Range: 10-21

Description:

This paper proposes a new pose estimation algorithm in the framework of robotic navigation problems. The algorithm gives the mobile robot (MR) pose on the basis of the difference between the MR desired pose and the MR current pose. In this regard the MR sensor readings and the readings of a virtual sensor are employed. The algorithm is advantageous in comparison with other pose estimation algorithms including those based on classical filter approaches because of the small computation time. Simulation and real-world experimental results are included to illustrate the effectiveness of the pose estimation algorithm and its potential for integration in MR control structures and algorithms.

Open Access: Yes

DOI: 10.1016/j.robot.2014.09.034

Effect of topological defects on graphene geometry and stability

Ibolya Zsoldos

Publication Name: Nanotechnology Science and Applications

Publication Date: 2010-12-01

Volume: 3

Issue: 1

Page Range: 101-106

Description:

The effect of two basic topological defects, mitosis and the Stone-Wales defect, is studied in the graphene structure. The topological rules of the curvatures due to the occurrence of the defects in different arrangements are determined. Despite the fact that the causes and the probability of these topological defects are not known today, this theoretical work studies the distortions caused by the defects geometry and stability of the graphene structure. © 2010 Zsoldos, publisher and licensee Dove Medical Press Ltd.

Open Access: Yes

DOI: 10.2147/NSA.S13905