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Authors - 9811
Publications - 6374
Detraining Slows and Maintenance Training Over 6 Years Halts Parkinsonian Symptoms-Progression
Publication Name: Frontiers in Neurology
Publication Date: 2021-11-19
Volume: 12
Issue: Unknown
Page Range: Unknown
Description:
Introduction: There are scant data to demonstrate that the long-term non-pharmaceutical interventions can slow the progression of motor and non-motor symptoms and lower drug dose in Parkinson's disease (PD). Methods: After randomization, the Exercise-only (E, n = 19) group completed an initial 3-week-long, 15-session supervised, high-intensity sensorimotor agility exercise program designed to improve the postural stability. The Exercise + Maintenance (E + M, n = 22) group completed the 3-week program and continued the same program three times per week for 6 years. The no exercise and no maintenance control (C, n = 26) group continued habitual living. In each patient, 11 outcomes were measured before and after the 3-week initial exercise program and then, at 3, 6, 12, 18, 24, 36, 48, 60, and 72 months. Results: The longitudinal linear mixed effects modeling of each variable was fitted with maximum likelihood estimation and adjusted for baseline and covariates. The exercise program strongly improved the primary outcome, Motor Experiences of Daily Living, by ~7 points and all secondary outcomes [body mass index (BMI), disease and no disease-specific quality of life, depression, mobility, and standing balance]. In E group, the detraining effects lasted up to 12 months. E+M group further improved the initial exercise-induced gains up to 3 months and the gains were sustained until year 6. In C group, the symptoms worsened steadily. By year 6, levodopa (L-dopa) equivalents increased in all the groups but least in E + M group. Conclusion: A short-term, high-intensity sensorimotor agility exercise program improved the PD symptoms up to a year during detraining but the subsequent 6-year maintenance program was needed to further increase or sustain the initial improvements in the symptoms, quality of life, and drug dose.
Open Access: Yes
Modelling optimal investment planning for household photovoltaic and battery systems under dynamic electricity market conditions
Publication Name: Discover Sustainability
Publication Date: 2026-12-01
Volume: 7
Issue: 1
Page Range: Unknown
Description:
Capacity sizing and calculating cost savings for residential households in a rapidly evolving energy market, influenced by fluctuating electricity prices and changing government incentives, is a highly complex problem. The key challenges stem from multiple interacting factors, including retail electricity prices, the desired payback period, household size, applicable electricity schemes, and the capacity factor of the photovoltaic (PV) system. The nominal power output of the solar energy system is constrained by both the specifications and the number of installed inverters and PV panels. As solar generation is intermittent and non-dispatchable, it is inherently weather-dependent and often unable to align with the dynamic fluctuations in household electricity consumption. From a financial modelling perspective, the length of the accounting period directly determines the time resolution of the model, influencing both the accuracy of cash flow estimation and investment decision-making. The proposed two-level investment planning model is based on the process network synthesis approach. At the upper level of the process model, solar generation technologies, including inverters and solar panels, are technically and economically assessed. At the lower level, which represents the load consumption side, the periodical energy balances for production, storage, demand, and purchase are considered. In order to accurately evaluate the solar energy system, the model is developed with both a monthly framework and a detailed hourly framework. The time resolution allows the model to account for grid intake, electricity sold, and storage inventory conditions over the defined periods, ultimately providing the optimal sizing for a solar system equipped with battery storage. Case studies are conducted to investigate the effects of household size, extended payback periods, varying retail electricity prices, and grid reliability. These scenarios demonstrate the key parameters that significantly influence the economic feasibility and optimal sizing of the solar energy system, which are discussed in detail in this paper.
Open Access: Yes
Trends and insights from bibliometric analysis for mapping artificial intelligence and machine learning in sustainable development
Publication Name: Discover Sustainability
Publication Date: 2026-12-01
Volume: 7
Issue: 1
Page Range: Unknown
Description:
Rapid population growth, environmental degradation and persistent urgency of climate change have intensified the global search for sustainable development solutions. Governments, researchers and institutions alike face the challenge of balancing economic progress with social equity and environmental protection. In response, recent scholarships have increasingly turned to digital technologies as potential enablers of sustainable transformation. This study addresses the need to understand how artificial intelligence (AI) and machine learning (ML) are being incorporated into sustainable development strategies, with a particular focus on mapping knowledge trends and research patterns. Using bibliometric analysis of SCOPUS data spanning 2015 to 2024, the study uncovers the evolution of research topics, highlights influential authors and institutions, and traces the diffusion of ideas across disciplines. The findings reveal that AI and ML are emerging as key drivers of sustainability, with strong applications in energy and emission management, environmental monitoring, climate change mitigation, precision agriculture and water resource management. Research in this area has grown rapidly over the past decade, shifting from theory to real applications. It also highlights that China's and the United States dual dominance in both publication volume and citation impact, while also recognizing the contributions of other countries like India, the United Kingdom and Australia in shaping global research landscapes. Three main implications arise from these results. For policymakers, the evidence underscores the urgency of designing inclusive policies, investing in digital infrastructure, and fostering global cooperation to ensure the equitable distribution of technological benefits. For the research community, the study points to opportunities for cross-disciplinary collaborations that link technological innovation with real-world sustainability challenges. From a broader societal perspective, the findings emphasize the importance of knowledge sharing and technology transfer, enabling both developed and developing countries to advance collectively toward achieving the Sustainable Development Goals.
Open Access: Yes
Optimizing complex building renovation process with fuzzy signature state machines
Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
Publication Date: 2014-01-01
Volume: 8835
Issue: Unknown
Page Range: 573-580
Description:
In contrary to recently built office and commercial buildings, the service life of the traditional European residential houses was not calculated. Some estimations exist about the life span of different types of building constructions, however, these estimations may not reassure the owners of urban-type residential houses that were built before the second world war. A thorough and professional renovation may extend the service life of buildings by decades, the question is how to prepare the most effective renovation procedure.As a combination of the fuzzy signature structure and the principles of finite-state machine a new formal method is proposed for generating a tool for supporting the renovation planning, concerning the costs and importance of repair. With the support of information obtained from a given pre-war urban-type residential house, the available technical guides and the contractors’ billing database an optimized renovation process of the roof structure is presented as a case study.
Open Access: Yes
Past-present-future in hungarian soil analyses
Publication Name: Agrokemia Es Talajtan
Publication Date: 2020-12-01
Volume: 69
Issue: 1
Page Range: 127-151
Description:
The purpose of the present paper isAuthors aim was to deliver a compilation of to summarize the Hungarian soil analysies methods and theas well as to present the advisory system for nutrient management advisory system. Both of them are based on several decades of work. We need to should learn from these past experiences of reasonable and good agricultural practices. We can only apply the present and future results of soil science and find out what direction should we develop, if we were aware of the results of the past and we calculate with their governing effects. The majority of our recent methods are based on historical researches and the present current statesituation of our field of scientific fieldce can only be judged and developed further if we knew the former history of the methodological findings. The recent Hungarian soil analysis system provides useful results that can be used very well today, however, the adaptation of the new international methods, learned from the follow-up of the international trends can might provide open new perspectives in for the Hungarian laboratory analyses methodology. TThe subject is extremely timely because there are hea never- met demand for cost and time effective, environmentally friendly soil analysis methods underpin how actual and hot the topic is. nowadays.
Open Access: Yes
OLD AND NEW CHALLENGES IN REGIONAL DEVELOPMENT – COMPARATIVE ANALYSIS OF EUROPEAN REGIONAL DEVELOPMENT POLICY APPROACHES TO IDENTIFYING BENEFICIARY REGIONS
Publication Name: Deturope
Publication Date: 2025-01-01
Volume: 17
Issue: 3
Page Range: 50-74
Description:
Most European countries apply development policy solutions to help disadvantaged regions catch up and seek effective solutions for territorial cohesion. This endeavour has been strongly supported by the European Commission in both the 2013-2020 and 2021-27 programming periods and is likely to remain so in the period after 2028. This is an understandable and logical endeavour, as being 'left behind' in economic, social or geographical terms not only reinforces internal migration flows within the European Community and its Member States but also increases political discontent. A number of approaches have emerged in European countries to identify disadvantaged regions and address their problems. The differences stem partly from the different intervention intentions of individual countries and partly from their different spatial, state and public administration structures. Various development policy solutions have been devised to help disadvantaged regions catch up, taking these factors into account. In Hungary, development policy has placed greater emphasis on the catching up of regions and settlements lagging behind in terms of socio-economic development since the 1980s, but the importance of delimitation in development policy practice has increased since the country's accession to the EU, with the establishment of differentiated support resource allocation mechanisms and targeted support programmes. The methodology currently in use for designating beneficiary regions has been in place since 2014. The socioeconomic changes that have taken place since then have shifted the focus of both scientific and policy interest in recent years towards more location-specific regulatory mechanisms that measure development differences at a lower level and are more sensitive to functional links between settlements. To support efforts in the renewal of the Hungarian regional development toolkit, our study seeks to outline alternative options by analysing Italian and British development policy practices, in addition to presenting Hungarian beneficiary regions. The international examples examined, despite their limitations as presented in the study, provide examples of multi-level governance, development policies based on functional units, and methodologies for measuring development below the settlement level. Current legislation in Hungary allows for changes in this direction, but their incorporation into domestic practice is only possible after careful preparation.
Open Access: Yes
DOI: DOI not available
Domain decomposition method with an interface preconditioner for frictionless contact problem
Publication Name: Aip Conference Proceedings
Publication Date: 2008-10-22
Volume: 1048
Issue: Unknown
Page Range: 359-363
Description:
The present paper is concerned with the frictionless bilateral or unilateral contact problem between two elastic bodies. An algorithm is introduced to solve the resulting finite element system by a non-overlapping domain decomposition method. This technique enable us to transform the solution of the global problem to the solutions of the elasticity equations for each body separately and the solution of the Schur complement problem on the contact surface. The main goal of this work is the construction of the interface preconditioner for the Schur complement problem. The solution is obtained by using a successive approximation method. Finally, some numerical results of the proposed method are given. © 2008 American Institute of Physics.
Open Access: Yes
DOI: 10.1063/1.2990933
The Role and Impact of Digital Transformation in the Development of Professional Teachers' Methodological Culture
Publication Name: Cando EPE 2024 Proceedings IEEE 7th International Conference and Workshop Obuda on Electrical and Power Engineering
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: 171-178
Description:
Today's professional teacher training system includes both professional and pedagogical preparation, the main aim of this training being to further develop the methodological part of the teacher training. In the last three decades, the institutional system and the content of Hungarian VET have been characterised by constant change, significantly influenced by the series of decisions and recommendations on VET in the EU. While continuous structural and content change has updated the VET infrastructure, and modern curricula have been developed, this modernisation has been accompanied by only modest digital and methodological changes. While all the development programmes implemented have made efforts to improve the methodological knowledge of vocational teachers, the results have been less visible in practice. Research on teaching methods and the methodological culture of professional teachers in vocational subjects has been scarcely reported in the professional press. At the same time, the learning environment has changed dramatically over the last decade, and the need for digital education has significantly altered the expectations of teachers in terms of teaching methods. The digital transformation of education is not a digitally-enhanced version of traditional teaching methods, but a new learning environment in terms of approach, requirements, methodology and assessment systems. In our study we want to present an empirical research and its results, as well as new directions for development, which aimed at partially overcoming this methodological gap at the University of Dunaújváros, In this context, we describe in detail the study that was carried out by means of a questionnaire survey and focus group interviews among engineering and vocational students of the institution in 2014 and 2024.
Open Access: Yes
On the development of signatures for Artificial Intelligence applications
Publication Name: IEEE International Conference on Fuzzy Systems
Publication Date: 2014-09-04
Volume: Unknown
Issue: Unknown
Page Range: 1304-1310
Description:
This paper illustrates developments of signatures for Artificial Intelligence (AI) applications. Since the signatures are data structures with efficient results in modeling of fuzzy inference systems and of uncertain expert systems, the paper starts with the analysis of the data structures used in AI applications from the knowledge representation and manipulation point of view. An overview on the signatures, on the operators on signatures and on classes of signatures is next given. Using the proto fuzzy inference system, these operators are applied in a new application of fuzzy inference system modeled by means of signatures and of classes of signatures.
Open Access: Yes
