Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6525

Fuzzy signature structure-based finite-state machines in a residential building renovation procedure

Gergely Molnarka Laszlo T. Koczy

Publication Name: Civil Comp Proceedings

Publication Date: 2014-01-01

Volume: 105

Issue: Unknown

Page Range: Unknown

Description:

Twenty years after the transition to the market-based housing sector the overall physical condition of pre-war urban-type residential houses remained below standard in Hungary. Among other factors, the fragmented ownership structure (at present, the capital-scarce former tenants constitute the stakeholders' community), and the given physical condition of the residential houses has resulted in difficulties in maintenance and repair. The options in the renovation process are limited by financial capabilities, however, the essential problem with maintenance originates from the unprofessional approach in decision-making. Although several decision-support tools exist that may help the stakeholders' communities, some properties of these tools make them unsuitable, or, as in the case of the facility management systems, their application may result in oversized expenses with needless functions. As a combination of the fuzzy signature structure and the principles of finite-state machines a new formal method is proposed for generate a tool for the supporting stakeholders' decisions in the building rehabilitation process, concerning necessity, cost efficiency and quality. With the support of information obtained from building diagnostic surveys, technical guides and contractors' billing databases an optimized renovation protocol is proposed.

Open Access: Yes

DOI: DOI not available

New Angulobaloghia species and records (Acari: Mesostigmata: Rotundabaloghiidae) from the Oriental region

Sergey G. Ermilov Jenő Kontschán

Publication Name: Acarologia

Publication Date: 2023-01-01

Volume: 63

Issue: 1

Page Range: 253-261

Description:

Two new Angulobaloghia species are described from Southeast Asia: A. nabau sp. nov. from Malaysia and A. badangi sp. nov. from Singapore. Angulobaloghia nabau sp. nov. has a three-peaked female genital shield, which is unique within the genus Angulobaloghia. Angulobaloghia badangi sp. nov. is distinctive by having the female genital shield between the central area of coxae II, its rectangular apical margin, and the sternal shield with oval pits. New localities for two known Angulobaloghia species, A. scrobia Kontschán and Stary, 2011 and A. vietnamensis (Kontschán, 2008), are presented from Vietnam.

Open Access: Yes

DOI: 10.24349/nwhs-7n23

Shattered Foundations: How the War on Gaza Has Undermined Industry, Innovation, and Infrastructure

Najla Trabelsi Zuhaib Bhat Abdo Hassoun Samer Abuzerr Abderahman Rejeb Toufik Ouatmani Mohammed Nijim

Publication Name: Sustainable Development Goals Series

Publication Date: 2025-01-01

Volume: Part F472

Issue: Unknown

Page Range: 231-246

Description:

This chapter explores the devastating impact of repeated Israeli hostilities on Gaza, especially the recent war; October 2023–January 2025, on industry, innovation, and infrastructure in this region, focusing on the significant setbacks to achieving Sustainable Development Goal 9 (SDG 9). This brutal war has led to widespread destruction of critical infrastructure, including power plants, health facilities, and communication networks, crippling industrial activities and halting technological advancements. The destruction of manufacturing facilities and the scarcity of essential resources have severely limited production capabilities, leading to massive job losses and economic decline. Furthermore, the war has severely hindered the development of new technologies and innovations by destroying educational institutions and research centers, while restrictions on the import of technological equipment and resources have further exacerbated these challenges, limiting access to tools necessary for advancement and growth. Through detailed analysis of reports and scientific publications, this chapter highlights the urgent need for international intervention and support to rebuild industry and infrastructure in Gaza. This comprehensive examination of the impact of the war on Gaza industry, innovation, and critical infrastructure offers valuable insights into the broader challenges of achieving SDG 9 in conflict-affected regions.

Open Access: Yes

DOI: 10.1007/978-3-031-88500-6_15

Do We Like Majority Decisions? Aspects of the Majority Principle in Voting on the Different Levels of Political Systems

Péter Smuk

Publication Name: Hungarian Yearbook of International Law and European Law

Publication Date: 2022-01-01

Volume: 10

Issue: 1

Page Range: 409-423

Description:

This article aims to review the constitutional justifications for majority requirements arising from the democratic principle, and to analyze some current controversial cases. Although the qualified majority requirement is not a new institution in either the national constitutional systems or the functioning of the EU institutions, the democratic legitimacy of majority voting faces several challenges. In order to present aspects that should be re-evaluated in the light of certain new political strategies, this paper analyses the majoritarian requirements in the Treaties, in the rules of procedures of the European Parliament and also case studies pertaining to the constitution-making majority in Hungary and the controversial case of voting on the Sargentini-report. On the basis of this assessment, we may confirm but also reconsider the majority principle.

Open Access: Yes

DOI: 10.5553/HYIEL/266627012022010001023

The impact of financial development and economic complexity on energy and carbon intensity: evidence of the top 10 complex countries

Irum Shahzadi Herick Fernando Moralles Diogo Ferraz Buhari Doğan Irum Shahzadi

Publication Name: Energy Sources Part B Economics Planning and Policy

Publication Date: 2025-01-01

Volume: 20

Issue: 1

Page Range: Unknown

Description:

This paper explores the impact of economic complexity and financial development on energy efficiency through two indicators: energy intensity and carbon intensity, within the top 10 complex economies. Other control variables, such as economic growth, urbanization, and human capital, are also included in the models. Random and fixed-effects estimators with heteroskedasticity-consistent standard errors were used. Clustered random and fixed-effects estimators were considered to handle within-group (cluster) dependence. The study utilized the Driscoll-Kraay (DK) method to address non-spherical disturbances and ensure consistent standard errors and robustness against dependence. Feasible Generalized Least Squares (FGLS) considered entity-specific autocorrelation, and System Generalized Method of Moments (Sys-GMM) accommodated unobserved panel-level effects, were also employed. Our findings reveal that economic complexity is crucial in reducing carbon and energy intensity, highlighting the significance of fostering technological sectors to diversify and sophisticate the productive structure. However, the influence of financial development on these intensity measures remains ambiguous and necessitates further exploration. We propose policy implications aimed at boosting technological sectors, facilitating a green transition in the economy, and advancing the adoption of renewable energy technologies.

Open Access: Yes

DOI: 10.1080/15567249.2025.2516447

Virtual localization by blind persons

György Wersényi

Publication Name: AES Journal of the Audio Engineering Society

Publication Date: 2012-07-01

Volume: 60

Issue: 7-8

Page Range: 568-579

Description:

Localization performance and spatial hearing abilities of blind persons are complex issues. In everyday life we rely on the "fact" that blind people can hear better, without thinking of what "better" means. Localization performance depends on many parameters such as properties of the excitation signal, environmental conditions, individual aspects, and visual influence. Our goal was to create a virtual environment aimed at helping the blind community use personal computers. In developing this environment we were concerned to cover technical and hearing related questions, as well as human factors. At first, this project included sighted subjects and basic properties of the virtual audio system and the applied HRTFs were tested. Subsequently, blind persons have been involved and comparative measurements performed using the same equipment and selected localization tasks. Twenty-eight blind person's localization performances were tested and compared with the results of 40 sighted subjects in a virtual audio environment. Blind subjects tended to be better in detecting movements in the horizontal plane around the head, localizing static frontal audio sources, and orientation in a 2-D virtual audio display. On the other hand, sighted subjects performed better identifying ascending sound sources in the vertical plane and detecting static sources in the back. In-the-head localization error rates and MAA results appeared to be about the same for both groups. The evaluation was also supported by some informal questions.

Open Access: Yes

DOI: DOI not available

Physics-informed neural network analysis of kerosene-based penta-hybrid nanofluid flow and heat transfer

Hina Zahir Syed M. Hussain Wasim Jamshed Hijaz Ahmad Sawera Batool Kamel Guedri Basim M. Makhdoum Nek Muhammad Katbar Mustafa Bayram

Publication Name: Discover Nano

Publication Date: 2026-12-01

Volume: 21

Issue: 1

Page Range: Unknown

Description:

Kerosene oil-based penta-hybrid nanofluids have attracted significant attention because of their improved thermal conductivity, mechanical stability, and potential use in advanced heat transfer systems. In this study, a Physics-Informed Neural Network (PINN) Analysis of Kerosene-Based Penta-Hybrid Nanofluid Flow and Heat Transfer, is performed to understand the flow pattern and heat transfer characteristics of a nanostructured fluid loaded with several types of nanoparticles. This new approach integrates the physical soundness of governing transport equations with the deep learning’s ability to predict, for modeling nanofluid flow and heat transfer phenomena. The initial partial differential equations governing momentum and energy transfers are converted via appropriate similarity transformations into dimensionless ordinary differential equations. These are then used as the key ingredients (embedded alongside boundary conditions) of the loss function of Physics-Informed Neural Network to make the model’s output comply with physical laws. Variations in parameters leading to changes in velocity and temperature distributions are explored, and to check the correctness and trustworthiness results are compared with classical numerical solutions and previously published data. The findings indicate that the PINN approach accurately characterizes the complex flow and heat transfer features of kerosene-based penta-hybrid nanofluids. By incorporating physics-based modeling with deep learning, reliance on extensive numerical data is diminished while excellent predictive capability is preserved. This research draws attention to PINN-based methods as promising and powerful instruments for the study of high-tech nanofluid products and direct engineering of superior heat exchangers, refrigeration systems, and thermal management devices.

Open Access: Yes

DOI: 10.1186/s11671-026-04765-6

How Consumers Accept Unmanned Smart Stores? – Introducing a Proposed Technology Acceptance Model

Márta Konczos Szombathelyi Szabolcs Ramhap Eszter Szabó-Szentgróti Petra Kinga Kézai

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 373-378

Description:

Digitalization and technological innovation have revolutionized the retail sector. In recent years, a new trend has emerged in the form of unmanned stores, pioneered by Amazon Go. Unmanned solutions using artificial intelligence are beginning to enter the public consciousness and represent a new sustainability perspective (such as lowering paper waste, packaging or using sustainable construction materials) in trade. Although it is not yet widespread and is still a new solution for consumers, the global market dynamics suggest that it will expand in the future. Unmanned shops pose some challenges, but these can be effectively addressed by the appropriate introduction of new technology. To identify or filter out potential shortcomings of this technology on the consumer side, it is also necessary to examine the acceptance of this technology by customers. In this paper, the internationally accepted Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model was modified and used to examine how consumers accept this technology. For data analysis, Partial Least Squares-Structural Equation Modelling method was applied. In the proposed model six constructs were examined on how they influence the intention to use. In the performed query, Hungarian university students’ behavioural intention is influenced by performance expectancy, effort expectancy, and hedonic motivation. However social influence, atmosphere, and price sensitivity have no significant influence on use intention.

Open Access: Yes

DOI: 10.3303/CET23107063

Combined asymmetric influences of renewable energy consumption and categorical economic policy uncertainty on economic growth in Japan: New insights from QQR and KRLS approaches

Gagan Deep Sharma Magdalena Radulescu D. Balsalobre-Lorente Sanjeet Singh M. Usman

Publication Name: Environment Development and Sustainability

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This study focuses on the asymmetric relationship between categorical economic policy uncertainty indices and Japanese economic growth and renewable energy consumption from January 1987 to December 2021. Economic policy uncertainty has multidimensional effects on the global economy. To address non-linearity, Kernel-Based Regularized Least Squares (KRLS) and quantile-on-quantile regression (QQR) are applied to examine the impact of fiscal policy uncertainty, monetary policy uncertainty, trade policy uncertainty, and exchange rate uncertainty on economic growth and renewable energy consumption. The average KRLS results indicate that fiscal and exchange rate policy uncertainty negatively influence economic growth, while uncertainty in monetary and trade policy has a favorable impact in the long-term. A significant decrease in renewable energy consumption is attributed to increasing fiscal and trade policy uncertainty indices, whereas monetary and exchange rate policy uncertainty contributes to the enhancement of renewable energy consumption. The QQR results align with the KRLS findings, with a slight variation for monetary policy uncertainty, which was found to be negligible for economic growth across all quartiles according to QQR approach. Given the recent increase in economic policy uncertainty due to the COVID-19 pandemic and the Ukrainian conflict, our findings support several crucial policy recommendations for promoting economic development and renewable energy consumption in Japan.

Open Access: Yes

DOI: 10.1007/s10668-025-06156-w