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Publications - 6374

A virtual audio environment for testing dummy-head HRTFs modeling real life situations

Publication Name: Proceedings of Forum Acusticum

Publication Date: 2014-01-01

Volume: 2014-January

Issue: Unknown

Page Range: Unknown

Description:

Virtual audio simulators usually incorporate HRTF filtering and headphone playback. The most important parameters for simulation include accuracy and spatial resolution of the applied HRTFs, setting the individual parameters (customization) and further signals processing algorithms in order to equalize the headphone or tracking head movements. This paper presents a custom built MATLAB-based virtual audio environment for listening tests using various dummy-head HRTFs, ITD setting methods, headphone equalization etc. Furthermore, first results from a listening test for comparison of HRTFs recorded with a manikin wearing hair or glasses are also presented.

Open Access: Yes

DOI: DOI not available

Socio-Ecosystem Resilience (SER), Bioeconomic and Green Energy-Related Financial Literacy (GEFL) Sustainability in Rural, Semi-Rural, Semi-Urban, and Urban Areas

Publication Name: Addressing Sustainable Development Goals Through Competency Based Education

Publication Date: 2025-11-14

Volume: Unknown

Issue: Unknown

Page Range: 175-212

Description:

This study has the aim to develop a research proposal on socio-ecosystem resilience (SER), bioeconomic and green energy-related financial literacy (GEFL) sustainability in rural, semi-rural, semi-urban, and urban communities of Veracruz. It departs from the assumption that financial literacy is basic to the use of green energy leading to create and develop socio-ecosystems resilience supported by bio-economics. The methods applied are mixed-methods approaches of a combination of quantitative surveys and qualitative insights into environmentally conscious financial practices. The result is a proposal of research farmed by the conceptual, theoretical, empirical and methodological framework.

Open Access: Yes

DOI: 10.4018/979-8-3373-3720-3.ch007

Measurement and analysis of industrial forklifts vibration levels for unit load testing purposes

Publication Name: Applied Sciences Switzerland

Publication Date: 2021-04-01

Volume: 11

Issue: 7

Page Range: Unknown

Description:

Forklifts are one of the most common types of material handling equipment used in warehouses and distribution centers. Vibration generated by forklifts may have an effect on the performance of unit loads and product damage rates. Historical research projects have focused predominantly on the measurement of vibration for over-the-road transportation. Thus, there is still a lack of understanding of the level of vibration caused by forklifts. The goal of this study was to understand how the vibration that is experienced by unit loads while being transported by forklifts is affected by factors such as speed, road condition, unit load weight, type of forklift, and sensor location. For this study, power spectral density (PSD) measurements were collected using a Lansmont Saver 9X30 data logger. Vibration levels were measured for three different industrial forklifts on two different surface types. The forklifts were driven at two different speeds while carrying two different unit load weights. For all of these conditions, the vibration levels were measured at the forklift carriage, at the back of the fork tine heel, and at the fork tine tips. The results obtained show that the highest vibrational intensity occurred at 3–4 Hz, while the highest overall Grms value observed was 0.145 G2/Hz (between 1–200 Hz). An increase in the forklift speed caused an increase in vibration intensity. In contrast, an increase in the unit load weight carried by the forklift caused a decrease in vibration intensity. Among the three forklifts studied, the gas-powered forklift had the highest vibration intensity, and all forklifts, when driven on asphalt, experienced more vibration.

Open Access: Yes

DOI: 10.3390/app11072901

Reinventing government and the separation of powers

Publication Name: Hungarian Journal of Legal Studies

Publication Date: 2016-03-01

Volume: 57

Issue: 1

Page Range: 42-58

Description:

Challenges caused by the global economic crisis in connection with the structural, political changes transformed the construction, the nature, and the operation of the executive branch. During the last decades in the separation of powers' system the state had been rediscovered and governmental power had been appreciated. In a world covered with the internet, financial, economic and political crisis situations appeared; governments and governmental centres had to give sufficient answers to global challenges. The world under the pressure of the media changed the daily routine of the governmental work: beside the good decision-making, carrying the governments' point across parliaments and public opinion too became increasingly significant. Strengthening the symbiosis between the legislative and executive branch in parliamentary governmental systems can be observed. Members of the governing party attending the rigorous party discipline are decreasingly able to function as democratic control. These members rather become patronisers ('voting machines') of the governmental intention without critical voices. The personality of the politicians coming to the front and the marketability of the politics in the media also strengthened the process which resulted in the intensity of the Prime Minister's role within the executive branch. Increasing the role of the Prime Minister and governmental central bodies lead to the weakening of the government's corporative character, and the government's gaining ground opposed to the Parliament. According to international examples in significant western European parliamentary democracies (for example: United Kingdom: Margaret Thatcher and Tony Blair, Italy: Silvio Berlusconi, Sweden: Göran Persson) the role of the Prime Minister (as the head of the government) also appreciably strengthened. Beside this attitude, the outsourcing of each governmental function (good governance), the sufficiency of state's strengthening (good government), and making governmental public services available electronically (e-government) are also under hard discussion. The aim of this paper is to review - based on new constitutional and other changes of public law - the centralization of the head of the Hungarian government; the strengthening of the 'chancellor-principle' by the Hungarian Fundamental Law; and the process that lead to the Prime Minister's Office becoming 'top chancery'. The paper takes into consideration the transformation of the separation of powers' system and the strengthening of the Prime Minister's role within the executive branch and its affect on the Hungarian administrative system.

Open Access: Yes

DOI: 10.1556/2052.2016.57.1.4

Generative AI and knowledge management in higher education: the impact of human development on student perceptions

Publication Name: Journal of Knowledge Management

Publication Date: 2026-12-14

Volume: 30

Issue: 11

Page Range: 293-318

Description:

Purpose – This study aims to explore how the Human Development Index (HDI) is associated with students’ perceived academic, personal and skill-development outcomes related to the integration of generative artificial intelligence, particularly ChatGPT, into higher education. From a knowledge management perspective, the research examines adaptive use of AI tools, structuring of information and support of autonomous learning in countries with varying development. Design/methodology/approach – The study draws on 11, 910 valid responses from the 2024 Global ChatGPT student survey, covering 58 countries. Based on 33 Likert-scale items, three reflective constructs were identified. To explore the relationships between HDI, usage intensity and perceived impacts, the analysis combined descriptive statistics, K-means clustering and a partial least squares structural equation modeling (PLS-SEM) mediation model. Findings – The regression analysis showed a weak but statistically significant negative correlation between HDI and perceived impacts: students from lower-HDI countries tended to view ChatGPT’s impacts more positively. The PLS-SEM results indicated that higher national development is associated with lower perceived academic, developmental and skill-related benefits. This relationship appears both direct and indirect, as students in more developed countries report using ChatGPT less frequently and less creatively for academic purposes. Practical implications – The findings highlight the need for context-sensitive, pedagogically grounded artificial intelligence strategies, particularly in highly developed countries and in the support of students from disadvantaged backgrounds. Originality/value – This study is among the first to examine how national development levels shape perceived ChatGPT impacts in higher education. By combining HDI, cluster analysis and mediation modeling, it offers a novel perspective on digital inequality.

Open Access: Yes

DOI: 10.1108/JKM-07-2025-0995

A Comparative Analysis of the Debt Dynamics of Municipalities and their Municipally Owned Corporations in the EU Member States with a Special Focus on Hungary

Publication Name: Romanian Journal of European Affairs

Publication Date: 2021-06-01

Volume: 21

Issue: 1

Page Range: 134-153

Description:

The study examines the liabilities as a share of the GDP of the municipal subsystems of public finances and the organisations owned by them in EU Member States between 2013 and 2018. The main goal of the current study is to characterise the EU Member States regarding the examined two areas. Additionally, we analysed the connections between the entities’ liabilities, used statistical methods to compare the respective values and to examine the impacts of the local government system models and the geopolitical location on debt. There were three hypotheses formulated during the research, all of which were confirmed. A statistical connection can be perceived between the two areas of economic management of the local system, and it has also been established that the liabilities as a percentage of the GDP of local government owned corporations are significant, particularly in Scandinavian countries and Germany. At the same time, however, it has to be noted that the results of the theoretical division and the statistical analyses differ from each other. At the end of the study, we used a case study to examine how the two areas developed over time and how the regulatory environment affected debt value. In addition, we also considered the debt dynamics of municipalities and their business organisations, subject to a comprehensive fiscal reform after 2010, which represents another unique element of this study.

Open Access: Yes

DOI: DOI not available

Absence of an acid phosphatase isozyme locus as a marker candidate for true to typeness in woodland grape (Vitis vinifera L. Ssp. Sylvestris Gmelin)

Publication Name: Oeno One

Publication Date: 2017-01-01

Volume: 51

Issue: 3

Page Range: 215-220

Description:

The quest and conservation of existing populations of woodland grape (Vitis vinifera L. Ssp. Sylvestris Gmelin), the supposed progenitor of the European grapevine (Vitis vinifera L. Ssp. Sativa) and a significant actor in the evolution of grapevine, has great importance in preserving biodiversity. The proof of true-to-typeness is highly important in ex-situ conservation, because the contamination risk of the woodland grape populations is very high. Some characteristic "sylvestris" simple sequence repeats (SSR) alleles were identified, but they are only characteristic in a specific population. In our recent study, the SSR profiles of 32 woodland grapes were compared to those of 16 European grapevine varieties and 20 rootstocks. Morphology and SSR analyses suggested that the analysed Vitis vinifera ssp. Sylvestris Gmelin accessions were true-to-type. In this report, the results of the acid phosphatase isoenzyme analyses of the same woodland grape accessions are presented and a new marker for true-to-typeness is suggested.

Open Access: Yes

DOI: 10.20870/oeno-one.2017.51.1.1620

The Economic Structure and Performance of the Catchment Area of the Hungarian Regional Centers

Publication Name: Deturope

Publication Date: 2020-01-01

Volume: 12

Issue: 3

Page Range: 58-81

Description:

This study examines the economic structure and performance of urban catchment areas. The five largest Hungarian regional centers are a traditional part of the Hungarian city network, as they are the five most populous cities after Budapest. The approach of territorial research is increasingly focused on the fact that the city as a center should not be studied without its immediate surroundings (agglomeration, region, catchment area). This study also keeps this in mind. The data were processed for the period between 1992 and 2015, on the basis of which the change can also be examined. Development trajectories show very different tendencies; Győr operates the catchment area as a strong center, while the surroundings of Pécs became fragmented due to the weakness of the center. Miskolc is characterized by a stagnant area, where the operation of another sub-center is very intensive, thus improving economic performance. Szeged is a solid center, whose catchment area is stabilized by several substations. The area of Debrecen is divided, the center is not able to energize its area.

Open Access: Yes

DOI: 10.32725/det.2020.022

Customer sentiment analysis and prediction of halal restaurants using machine learning approaches

Publication Name: Journal of Islamic Marketing

Publication Date: 2023-06-07

Volume: 14

Issue: 7

Page Range: 1859-1889

Description:

Purpose: There is a strong prerequisite for organizations to analyze customer review behavior to evaluate the competitive business environment. The purpose of this study is to analyze and predict customer reviews of halal restaurants using machine learning (ML) approaches. Design/methodology/approach: The authors collected customer review data from the Yelp website. The authors filtered the reviews of only halal restaurants from the original data set. Following cleaning, the filtered review texts were classified as positive, neutral or negative sentiments, and those sentiments were scored using the AFINN and VADER sentiment algorithms. Also, the current study applies four machine learning methods to classify each review toward halal restaurants into its sentiment class. Findings: The experiment showed that most of the customer reviews toward halal restaurants were positive. The authors also discovered that all of the methods (decision tree, linear support vector machine, logistic regression and random forest classifier) can correctly classify the review text into sentiment class, but logistic regression outperforms the others in terms of accuracy. Practical implications: The results facilitate halal restaurateurs in identifying customer review behavior. Social implications: Sentiment and emotions, according to appraisal theory, form the basis for all interactions, facilitating cognitive functions and supporting prospective customers in making sense of experiences. Emotion theory also describes human affective states that determine motives and actions. The study looks at how potential customers might react to a halal restaurant’s consensus on social media based on reviewers’ opinions of halal restaurants because emotions can be conveyed through reviews. Originality/value: This study applies machine learning approaches to analyze and predict customer sentiment based on the review texts toward halal restaurants.

Open Access: Yes

DOI: 10.1108/JIMA-04-2021-0125