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Found 6515 publications
FROM AI VIBRANCY TO LABOUR MARKET OUTCOMES: TESTING DISPLACEMENT ACROSS EDUCATION GROUPS
Publication Name: Economics and Sociology
Publication Date: 2025-01-01
Volume: 18
Issue: 4
Page Range: 131-159
Description:
Artificial intelligence is expanding rapidly, intensifying policy concerns that more vibrant AI ecosystems may displace workers and increase unemployment. This study aims to test whether national AI vibrancy is associated with higher unemployment across education groups (advanced, intermediate and basic). Using an unbalanced panel of 34–35 countries from 2017 to 2023, the analysis combines Stanford’s AI Vibrancy Score with World Bank indicators and estimates two-way fixed-and random-effects models, employing Box–Cox/log transformations and dependence-robust inference (including country/time clustering and Driscoll–Kraay standard errors). The results provide little support for the displacement hypothesis. For advanced-education unemployment, AI vibrancy is statistically insignificant in the two-way FE model. It remains insignificant under all robust corrections (ln(AI vibrancy): β=−0.099, country-clustered p=0.494, time-clustered p=0.544, Driscoll–Kraay p=0.468). For basic-education unemployment, AI vibrancy is likewise insignificant in the two-way FE model (p=0.782). It remains insignificant under country clustering (p=0.830), time clustering (p=0.813) and Driscoll–Kraay inference (p=0.819). For intermediate-education unemployment, the AI coefficient remains insignificant under country clustering (p=0.273), time clustering (p=0.310), and Driscoll–Kraay corrections (p=0.226), indicating no robust unemployment-increasing effect across education groups during the observed period.
Open Access: Yes
Literature review of impacts of mega-sport global events on destination sustainability and sustainability marketing—Reflection on Qatar 2022 FIFA World Cup
Publication Name: Journal of Infrastructure Policy and Development
Publication Date: 2024-01-01
Volume: 8
Issue: 12
Page Range: Unknown
Description:
Qatar FIFA 2022 was the first FIFA Football World Cup to be hosted by an Arab state and was predicted by some to fail. However, it did not only succeed but also showed a new display of destination sustainability upon hosting mega-sport events and linked tourism. Yet, some impacts tend to be long-term and need further analysis. The study aims to understand both positive and negative impacts on destination sustainability resulting from hosting mega-sport events, using bibliometric analysis of published literature during the last forty-seven years, and reflecting on the recent World Cup 2022 tournament in Qatar. A total of 2519 sources containing 665 open-access articles with 10,523 citations were found using the keywords “sport tourism” and “mega-sport”. The study found various literature researching the economic impacts in-depth, less on environmental impacts, and much less on social and cultural impacts on host communities. Debates exist in the literature concerning presumed economic benefits and motivations for hosting, and less on actual results achieved. Although World Cup 2022 is considered the most expensive among previous versions, destination sustainability seems to have benefited from the event’s hosting. Socio-cultural impacts of hosting mega-sport events seem to be addressed to an extent in the Qatar version of the World Cup, as well as environmental impacts while creating a unique image for FIFA 2022 and the destination itself. FIFA showcased this as using carbon-neutral technologies to create the micro-climate including perforated walls in the eight state-of-the-art stadiums, with the incorporation of a circular modular design for energy and water efficiency and zero-waste deconstruction post-event. The global event also drew attention and respect to the local community and underprivileged groups such as people with disabilities. Further research is needed to understand the demand-side perspective including the local community of Qatar and the event’s participants, and to analyze the long-term impacts and lessons learned from the Qatari experience.
Open Access: Yes
In search of the nature of specific nucleic acid-protein interactions
Publication Name: Acta Physiologica Hungarica
Publication Date: 2005-06-23
Volume: 92
Issue: 1
Page Range: 1-10
Description:
The theory of "codon-amino acid coevolution" was first proposed by Woese in 1967. It suggests that there is a stereochemical matching - that is, affinity - between amino acids and certain of the base triplet sequences that code for those amino acids. We have constructed a Common Periodic Table of Codons and Amino Acids, where the Nucleic Acid Table showed perfect axial symmetry for codons and the corresponding Amino Acid Table also displayed periodicity regarding the biochemical properties (charge and hydrophobicity) of the 20 amino acids and the position of the stop signals. The Table indicates that the middle (2nd) amino acid in the codon has a prominent role in determining some of the structural features of the amino acids. The possibility that physical contact between codons and amino acids might exist was tested on restriction enzymes. Many recognition site-like sequences were found in the coding sequences of these enzymes and as many as 73 examples of codon-amino acid co-location were observed in the 7 known 3D structures (December 2003) of endonuclease-nucleic acid complexes. These results indicate that the smallest possible units of specific nucleic acid-protein interaction are indeed the stereochemically compatible codons and amino acids. © 2005 Akadémiai Kiadó.
Open Access: Yes
DNA extraction and STR profiling from histological slides
Publication Name: Forensic Science International Genetics Supplement Series
Publication Date: 2022-12-01
Volume: 8
Issue: Unknown
Page Range: 176-177
Description:
Formalin-fixed paraffin-embedded (FFPE) tissue blocks are commonly used in the field of pathology and forensic pathology as a source of histological slides. For postmortem kinship analysis or identification, DNA can be extracted from blocks with specialized kits. However, when an STR profile should be generated from single microscope slides, the removal of the coverslip and the limited sample size poses unique challenges. We aimed to test the effectivity of agitated xylene incubation to dissolve the mounting material to facilitate the coverslip removal. DNA extraction tests were performed on 5- to 7-year-old histological slides. Xylol was used to dissolve the mounting medium to facilitate cover slide removal, one set of samples was shaken during incubation, and the other set was left still. It was found that shaking the sample while bathed in xylol decreased the incubation time from three days to two days. Agitation not just reduced the processing time but increased the quality of acquired STR profiles: on average 30% more alleles were detected from the shaken samples compared to the still bathed ones.
Open Access: Yes
The assessment of financial risks of municipally owned public utility companies in hungary between 2009 and 2018
Publication Name: Montenegrin Journal of Economics
Publication Date: 2020-01-01
Volume: 16
Issue: 4
Page Range: 29-41
Description:
The aim of this study is to assess the financial risks, as interpreted by us, of Hungarian corporations fully owned by municipalities across a national dimension after the global economic crisis broken out in 2008. In this study, financial risk was measured by profitability, liquidity and the equity ratio. We were seeking an answer to the question as to how more stringent state controls had influenced the companies’ ability to provide public services and their financial situation behind in a more robust public financial regulatory and control environment created in Hungary after 2010, that is, how the going concern principle of accounting had been implemented. Indirectly, we were also seeking an answer to the question as to how operational risks had been affected by the “breaking” effect on net income exerted by the administrative price regulation (reduction of utility costs on the consumers’ side) imposed on the services of public utility companies in 2013 (as part of the public finance re-form introduced in 2010), that is, whether a more robust regulatory environment of public finances compelled the promotion of corporate efficiency. With the complex (and inter-related) methodology of the assessments carried out, we could establish that financial risks improved, but we propose even stricter controls due the economic shock caused by the COVID-19 pandemic. Our research results present a comprehensive situational picture of municipally owned companies providing public services in an emerging market economy, which can be compared with the data of other countries as well.
Open Access: Yes
Explainable Machine Learning Using Sensor-Derived Biomechanical Features to Classify Elevated VALR-Related Loading Across Midsole Hardness Conditions in School-Aged Boys
Publication Name: Sensors
Publication Date: 2026-06-01
Volume: 26
Issue: 12
Page Range: Unknown
Description:
(1) Background: Changes in midsole hardness may affect lower-limb impact loading during forefoot strike (FFS) running in children, yet the biomechanical basis for discriminating elevated VALR-related loading remains unclear. (2) Methods: Fourteen school-aged boys performed FFS running tests in experimental shoes with four midsole hardness levels (37, 42, 47, and 52 Shore C). Lower-limb kinematics and surface electromyography (sEMG) data were collected during the dominant leg stance phase. After preprocessing, VALR was calculated from 336 valid trials, and 28 stance-phase biomechanical features were extracted, yielding a final machine-learning dataset of 324 trials after excluding incomplete feature data. VALR was used to compare loading changes and define trial-level elevated-loading labels based on the median VALR value. Classification models were evaluated under participant-level GroupKFold validation, and XGBoost was retained for exploratory SHAP analysis. (3) Results: VALR showed an upward trend with increasing hardness, but no statistically supported change point was identified. XGBoost achieved an accuracy of 75.93%, precision of 74.14%, recall of 79.63%, F1-value of 0.768, and pooled out-of-fold AUC of 0.738. SHAP analysis indicated that distal and non-sagittal kinematic features contributed most to model classification. (4) Conclusions: Elevated VALR-related loading during children’s FFS running may be characterized by a multi-feature model-based pattern rather than a fixed midsole hardness threshold.
Open Access: Yes
DOI: 10.3390/s26123942
Number archetypes, symbolic coding letters and "background communication theory" in Saint Stephen's royal mirror
Publication Name: Iccc 2009 IEEE 7th International Conference on Computational Cybernetics
Publication Date: 2009-12-01
Volume: Unknown
Issue: Unknown
Page Range: 201-211
Description:
Following Pauli's approach to the analysis of the Kepler's works, the paper attempts to identify patterns in the creative background cognitive processes related to a "background system and communication theory" in the thousand-year-old great Latin opus of St Stephen's Royal Mirror. Our paper is dedicated to the blessed memory of Prof. S. Csibi, the great scholar of communication theory, who creatively participated in this endeavour. ©2009IEEE.
Open Access: Yes
Casson hybrid nanofluid flow between two rotating disks under magnetic field and convective boundary conditions
Publication Name: Results in Engineering
Publication Date: 2026-06-01
Volume: 30
Issue: Unknown
Page Range: Unknown
Description:
Nanotechnology plays a vital role in heat transport due to its wide range of applications, significantly contributing to fields such as bioengineering, space exploration, biosensor research, semiconductor technology, and advanced electronics. The primary objective of this analysis is to examine the Casson fluid model for heat and mass transport between stretchy rotating disks, incorporating copper and titanium oxide nanoparticles into a sodium alginate base fluid. This analysis encompasses the effects of mixed convection, chemical reactions, convective conditions, activation energy, and thermal radiation. The bvp4c method is utilized to solve the resultant equations. Tables and Figures offer a clear depiction of the results. Understanding the thermal characteristics of hybrid fluids is crucial to energy systems, biological fluid dynamics, and engineering applications, where fluid flow and heat transfer are critical to system performance. At lower disk, the skin friction improved by 10.24% and 12.36% relative to the higher values of the magnetic and Cason parameters. The Schmidt number reduces mass-transfer gradients by 18.1%, whereas the activation energy decreases by 13.7%. The volume fractions of the selected nanoparticles vary from 0.02 to 0.04, and the heat transfer rates for the hybrid nanofluid increases 12% for the hybrid nanofluid as compared to the nanofluid. The hybrid nanofluid significantly affects flow distributions.
Open Access: Yes
On the other Side of Technology: Examining of Different Behavior Patterns with Artificial Intelligence
Publication Name: Acta Polytechnica Hungarica
Publication Date: 2022-01-01
Volume: 19
Issue: 9
Page Range: 67-83
Description:
In this study, the initial problem is the capacity of the human mind to set up a conceptual model. The novelty of this article is that we show that defined concepts created by the human mind can be passed on to an artificial intelligence-based expert system. The expert system helps the human mind to settle the logical connections between the defined terms and the conceptual model thus the created model will be better than what man could have set up without an expert system. The appearance and role of employee turnover has become a more and more important factor in the daily business of corporate life. Scientific journals have examined the positive and negative effects of it, which has also provided useful knowledge for practitioners. These articles have examined the impact of employee turnover in countless aspects, but one aspect was the same in all literature: the impact of turnover on a company is not negligible and cannot be ignored in terms of neither material nor moral aspects. As a starting point for our research, we systematically reviewed the literature on employee turnover and selected six concepts that are bilaterally related to our phenomenon. Based on the terms and the correlation of it, we created a conceptual model that was examined with the help of an artificial intelligence-based system. To select a system, we reviewed the classifications of the artificial intelligence-based systems which can model human decision making and can help our research. Relying on the processing of the literature review articles, we selected and briefly characterized a rule-based reasoning system, and investigated the rule constellations of it, which can model the turnover cases as the topic of our study. Based on our experience in observing, consulting, and working with decision-makers, we examined the aspects of employee turnover phenomenon in the analysis and we constructed a three-level model that found logical relationships between each subcategory and was able to realistically reflect certain behavioral patterns of the physical workforce of a manufacturing company. The analysis was performed using a rule-based system, which used logical rules and found classical “if-then” connections in the employee behavior cases. According to our examination, our outcomes can provide credible results for further research activities as well as for practitioners.
Open Access: Yes
