Search in Publications

Found 6374 publications

In trust we thrive: What drives the sharing economy?

Gauri Shankar Gupta Kinga Szabó

Publication Name: Corvinus Journal of Sociology and Social Policy

Publication Date: 2020-01-01

Volume: 11

Issue: 2

Page Range: 49-68

Description:

The rapid growth of the sharing economy in the last two decades may signal a paradigm shift in global capitalism and societal values. Digital platforms have brought together strangers with under-utilized capacities and assets with those who need them but who are not looking for ownership. The radius of trust, which was initially confined to family, friends and local communities, now encompasses strangers who speak no common language and who may live oceans apart. Trust, driven by Digital Identity (DI) and Trust and Reputation Information (TRI), has enabled what was considered improbable or even impossible some years ago. The further expansion and deepening of trust, based on new technologies combined with the international legal framework, has the potential to rewrite the apparatus of modern capitalism and societal values. Civil society and governments need to engage on this issue to guide them in a direction that is most beneficial to society. However, the current extraordinary situation due to the Coronavirus pandemic, coupled with the foreseeable tendency to complete digital control, is likely to have far-reaching impact on the future development of the sharing economy.

Open Access: Yes

DOI: 10.14267/CJSSP.2020.2.3

SZTAKI @ ImageCLEFmed 2020 Tuberculosis Task

No authors available

Publication Name: CEUR Workshop Proceedings

Publication Date: 2020-01-01

Volume: 2696

Issue:

Page Range: Unknown

Description:

In this paper we describe our submission to the ImageCLEFmed 2020 Tuberculosis task and discuss additional results on the training set with various neural networks. After some centralization and normalization we independently categorized the 2D slices with convolutional neural networks (traditional and residual feed-forward networks) and we aggregated the individual predictions based on the positions of the lung and the slices. Our additional experiments with various aggregation methods indicate that individual slices do not necessary contain enough information about such complex structures.

Open Access: No

DOI: DOI not available

Factors influencing the leasing fees of hunting grounds in Hungary

Szabolcs Troján Éva Vadváriné Gál Norbert Abauji Miklós Marosán

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

The history of hunting customs and traditions, as well as game management, in Hungary is long and rich, forming an essential part of Hungarian culture. By the end of the 20th century, changes had been introduced to the political and social structures, as had been the case in the field of hunting. In Hungary, the right to hunt is an integral part of land ownership. Those who own land that is classified as hunting land are entitled to exercise this right. Furthermore, landowners may lease this right within the boundaries of the hunting area established by the relevant hunting authority. The lease shall be concluded by a lease contract between the parties, namely the landowner and the hunters' association. The Hungarian Parliament enacted Act LV of 1996, which modernised the decree on game protection, game management, and hunting. Furthermore, the act delineates the fundamental elements of a hunting lease contract, yet it lacks sufficient detail regarding the leasing fee. Since 1996, a method for determining the leasing fee for hunting has been lacking. This is despite the fact that there has been a need for such a method for more than 25 years. The current situation is such that the contracting parties and the public authorities are unable to determine the leasing fee for hunting in a realistic manner. This lack of clarity has resulted in disagreements between the contracting parties. Furthermore, the current situation is such that there is no accurate and useable method for determining the leasing fee for hunting. A nationwide data collection has commenced among Hungarian hunting associations, based on a literature review and the methodology. The objective is to determine which factors influence the leasing fees and to what extent. The hedonic price method, which has already proven its worth in previous similar research, has been employed to draw up a multivariate regression equation of national validity. This permits the examination of the situation in all counties, and thus the establishment of whether the leasing fee used in the leasing contract of a particular hunting ground matches its characteristics. The objective of this research is to develop a comprehensive and transparent model for the determination of leasing fees for hunting, based on a synthesis of national and international literature.

Open Access: Yes

DOI: 10.1051/bioconf/202412501013

Rediscovery of Livilla radiata (Foerster, 1848) after 130 years in Hungary, with notes to the Fabaceae-associated jumping plant lice in Hungary (Insecta: Psylloidea)

Jenő Kontschán Takács Attila Klaudia Kőszegi

Publication Name: Ecologica Montenegrina

Publication Date: 2024-01-01

Volume: 71

Issue: Unknown

Page Range: 139-143

Description:

No description provided

Open Access: Yes

DOI: 10.37828/em.2024.71.13

Does industrial digital-real integration enhance both environmental pollution and carbon emission?

Xin Zhao Shanshan Li Mengqi Wang Jiaqi Hao Yize Zhang Keji Lu Huanglong Ma

Publication Name: Gondwana Research

Publication Date: 2026-08-01

Volume: 156

Issue: Unknown

Page Range: 264-279

Description:

Clarifying how industrial digital-real integration (IDRI) drives the synergistic control of environmental pollution and carbon emissions (SCPC) is critical for advancing digital ecological civilization and implementing China's “Dual Carbon” goals. Using panel data for 285 Chinese prefecture-level cities from 2014 to 2022, this study employs panel regression models to estimate the impact of IDRI on SCPC. The results show that SCPC improved steadily across the sample period, while IDRI exhibited an “N”-shaped evolution, with substantial regional heterogeneity in both variables. IDRI is found to significantly enhance SCPC, and this effect remains robust after addressing endogeneity and conducting a battery of robustness tests. Mechanism analysis indicates that IDRI promotes SCPC through green technological innovation (GTI) and improved ecological governance capacity (EGC). Further, the vitality of environmental governance (VEG) positively moderates the IDRI–SCPC relationship. This study offers important policy implications for developing countries aiming to build a green and intelligent digital ecological civilization.

Open Access: Yes

DOI: 10.1016/j.gr.2026.03.007

Numerical plastic analysis of non-prismatic reinforced concrete beams strengthened by carbon fiber reinforced polymers

Majid Movahedi Rad Sarah Khaleel Ibrahim

Publication Name: Proceedings of the 2020 Session of the 13th Fib International Phd Symposium in Civil Engineering

Publication Date: 2020-01-01

Volume: Unknown

Issue: Unknown

Page Range: 208-215

Description:

The non-prismatic reinforced concrete (RC) beam considered a unique case in structural engineering as it has variable depth all over beam section and it doesn't have sufficient information in structural codes, this can put structural engineers in a challenge to predict how this beam will react under specific types of loads or with different geometrical variables and strengthening existence. In this research, concrete plastic damage constitutive model developed and used to explore the shear strength of non-prismatic RC beam structure. Furthermore, in order to improve the shear strength of existent RC beams, Carbon Fiber Reinforced Polymers (CFRP) strips are attached to the surface of the critical sections. For this aim, initially numerical model was calibrated according to the data obtained from laboratory tests then a series of numerical simulations with different variables are carried out to investigate the shear behavior and these variables were: haunch angle a value and CFRP strips existence (composite status). The numerical results show that changing beams geometry (haunch angle a value) can have an influence over shear strength, in addition, using CFRP strips has an obvious effect on the failure behavior of the non-prismatic RC beam structure. Finite element simulations are executed by using ABAQUS.

Open Access: Yes

DOI: DOI not available

Quantifying the relationship between physical performance and mental wellbeing in older adults: a field study

Ferenc Ihász Róbert Járai Robert Podstawski Eliza Toth Celal Bulgay Angéla Somogyi Erzsébet Stephens-Sarlós Anna Horváth-Pápai Ádám Balog Róbert Járai Zoltán Alföldi Attila Szabo

Publication Name: Frontiers in Aging

Publication Date: 2025-01-01

Volume: 6

Issue: Unknown

Page Range: Unknown

Description:

Introduction: Although the relationship between functionality, as reflected in physical performance (PHP), and mental health in older adults has been researched, its strength remains unclear. Methods: This field study aimed to determine the strength of this relationship in adults aged 60 and above using seven PHP indices and six psychological measures. We individually tested 114 older adults. Objective measures included six PHP indices consisting of the Senior Test and handgrip strength. Subjective measures included resilience, wellbeing, happiness, perceived stress, hopelessness, and life satisfaction. Results: Structural equation modeling (SEM) revealed two latent constructs: PHP and mental wellbeing (MWB): robust fit (MLR): X2 (75) = 136.28, p < 0.001; CFI = 0.967; TLI = 0.960; RMSEA = 0.066 (90% CI [0.000, 0.128]); SRMR = 0.088. The latent partial correlation between PHP and MWB (adjusted for Age) was φ = 0.46, indicating ∼21% shared variance. The correlation between the two latent factors was moderate (r = 0.46), suggesting that other unassessed factors might account for the relationship. Discussion: Based on objective PHP and subjective MWB measures, these results suggest a modest connection, with the two latent constructs sharing ∼1/5 of their variances. Consequently, further research is needed to identify other factors affecting the studied relationship in older adults. These cross-sectional findings, suggesting a moderate association, should be interpreted with caution. Still, they support recommending physical activity as one component of broader, multi-domain strategies to support the wellbeing of older adults.

Open Access: Yes

DOI: 10.3389/fragi.2025.1630343

Strategic assessment of groundwater potential zones: a hybrid geospatial approach

Hamid Nazaripour Majid Movahedi Rad Vahid Shafaie Mahdi Sedaghat

Publication Name: Applied Water Science

Publication Date: 2024-08-01

Volume: 14

Issue: 8

Page Range: Unknown

Description:

Groundwater aquifers constitute the primary water supply for populations in arid regions, exemplified by the Goharkooh Plain in Iran's driest drainage basin, where conditions of high evapotranspiration and low precipitation prevail. With the escalating demand for water resources, driven mainly by agricultural expansion, the strategic management of groundwater assets has become increasingly critical. This study focuses on delineating groundwater potential zones (GWPZs) through an integrated approach combining multi-criteria decision analysis and geospatial tools. Based on an extensive literature review, nine thematic layers were selected and developed: lithology, geology, drainage density, slope gradient, elevation, vegetation cover, lineament density, land use, and precipitation. These criteria were initially weighted using the analytical hierarchical process (AHP) and subsequently integrated via weighted overlay analysis. In this research, the strategic selection of thematic layers for assessing groundwater potential in arid regions has been identified as an innovative approach that could significantly advance studies in similar settings. The analysis revealed that approximately 60% of the study area, primarily in the southwestern parts, exhibited moderate to very high groundwater potential. This potential is primarily attributed to the presence of alluvial deposits, low drainage density, and favorable slope and elevation conditions. Applying the receiver operating characteristic (ROC) curve yields an area under the curve (AUC) of 81.5%, indicating a relatively high level of predictive accuracy. These findings demonstrate the efficacy of this integrated approach, suggesting its broader applicability in regions with analogous groundwater challenges and management needs.

Open Access: Yes

DOI: 10.1007/s13201-024-02243-x

Mathematics self-efficacy, learning approaches, academic performance in the light of the number of failed attempts

No authors available

Publication Name: SEFI 48th Annual Conference Engaging Engineering Education, Proceedings

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 286-296

Description:

Mathematics is a language for expressing physical, chemical and engineering laws nevertheless engineering students often perform poorly in mathematics. Studying can be influenced by several different social, cognitive and non-cognitive factors which all can have an impact on students' academic performance. Many researches revealed positive effects of mathematics self-efficacy on mathematics achievement. Similar results can be found among learning approaches, students using deep-approach achieve better results. It is legitimate to question whether there is a relationship between self-efficacy and learning approaches. My research focused on the interrelationship between two aspects of mathematics self-efficacy (mastery experience, physiological state), learning approaches (deep strategy, deep motive, surface strategy, surface motive) and achievement. This research also examined the variance of self-efficacy, learning approaches and achievement in relation to the number of failed attempts. 306 undergraduate engineering students at a Hungarian university took part in the study. To examine the above mentioned question the study employed quantitative approach and data were collected using two questionnaires during the semester. The self-efficacy scale was adapted from a variety of sources and was modified to local conditions. To measure learning approaches the Revised Two Factor Study Process Questionnaire was rephrased to the domain of mathematics and to the local conditons. The data were analysed quantitatively using descriptive statistics, bivariate correlation, partial correlation, and regression analysis. The results show that self-efficacy, learning approaches and academic achievement were strongly correlated with each other. Students who have higher level self-efficacy use deep strategy in learning and have deep motives, while students classified as low in self-efficacy adopted surface learning approaches. A new variable was introduced which has not been investigated yet in other researches: the number of failed attempts. A significant correlation between the mentioned variables and the number of attempts was identified. My results demonstrate the importance of such kind of learning environment which fosters self-efficacy and deep learning approach.

Open Access: No

DOI: DOI not available