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Publications - 6374

Numerical study to investigate the effect of sample size sensitivity on porous materials with respect to different geometrical parameters

H. Szűcs

Publication Name: Results in Materials

Publication Date: 2024-06-01

Volume: 22

Issue: Unknown

Page Range: Unknown

Description:

Porous materials play a crucial role in various industrial applications, where precise determination of geometric parameters like dynamic tortuosity, as well as viscous and thermal characteristic lengths, is essential for optimizing acoustical performance. Up to this point, there has been no published size sensitivity test that recommends the ideal sample size for analyzing these parameters in an industrial environment. The present article analyzes different reconstructed porous material samples using conventional CFD and coupled FEA-CFD simulations and suggests optimal sample size and specific simulation setup optimized for industrial purposes, which grant high accuracy and reasonable computational cost. The present paper analyzed several samples, which were reconstructed by micro-CT and analyzed in Star-CCM+ simulation environment. It was found that the optimal sample size (1.5×1.5×1.5 mm or 2.5×2.5×2.5 mm) is different for specific average pore sizes. It was proven through various numerical simulations based on reconstructed porous material samples that running only one coupled CFD-FEM simulation is satisfactory to directly determine all investigated parameters. It was demonstrated that the computationally demanding numerical model could be simplified in specific cases using a rigid body and highlight the limitations.

Open Access: Yes

DOI: 10.1016/j.rinma.2024.100554

The psychology of online shopping success: Insights on social media analytics and customer feedback

Khalid Mehmood Qasim Ali Nisar Shivani Agarwal Norah Albishri Vinkóczi Tamás

Publication Name: Acta Psychologica

Publication Date: 2026-04-01

Volume: 264

Issue: Unknown

Page Range: Unknown

Description:

Social media analytics (SMA) practices are playing a vital role in improving online store performance by creating insights about customer preferences, trends, and behaviors. Social media analytics (SMA) practices are a critical contributor to boost online store performance by creating insights on customer preferences, trends and behaviors. The effective utilization of such analytics helps online retailers to adjust their marketing strategies, increase customer engagement, and ultimately boost their sales. This study examines the dynamic link between SMA and customer engagement in online retail firms with special focus on the moderating role of customer voice (promotive and prohibitive) in determining the performance outcomes. Specifically, it examines the impact of consumers' promotive and prohibitive voices on the relationship between customer engagement and online store performance. Using a time-lagged study and data obtained from 407 online stores across three survey waves, the findings show there is a strong positive relationship between SMA and customer engagement. In addition, both promotive and prohibitive customer voice are found to positively moderate the engagement-performance relationship, increasing the effect of engagement on operational outcomes. The study concludes with implications and future research directions.

Open Access: Yes

DOI: 10.1016/j.actpsy.2026.106329

The Impact of Changes in Financial Supervision on the Profitability of the Hungarian Banking Sector

József Varga Tibor Bareith Tatay Tibor

Publication Name: Economies

Publication Date: 2022-07-01

Volume: 10

Issue: 7

Page Range: Unknown

Description:

Since 2013, the central bank has been responsible for supervision in Hungary. In addition to the regulatory change, a law was published in the same year that started the process of abolishing the savings co-operative system. This paper investigates the impact of these two significant changes on the profitability of the Hungarian banking sector between 2003 and 2019 using dynamic panel model estimates. The supervisory change has reduced the profitability of credit institutions and tighter supervision has been implemented. The transformation of the savings co-operative system was in fact an integration that led to the disappearance of savings co-operatives by 2019. Competition in the market has been weakened, which has increased the profitability of the remaining financial institutions. The results were robust in terms of the multiple specifications and profitability ratio.

Open Access: Yes

DOI: 10.3390/economies10070176

Energy in the backseat? Investigating decarbonization dialogue in supply chain tweets during and after COVID-19

Gagan Deep Sharma Tuhin Sengupta Umer Shahzad Amar Rao

Publication Name: Annals of Operations Research

Publication Date: 2026-04-01

Volume: 359

Issue: 1

Page Range: 581-613

Description:

While we move into the seventh year of the signing of Paris agreement, research scholars and supply chain firms have paid a lot of emphasis on environmental sustainability with the aim of achieving net zero targets by 2050. However, the global pandemic has somewhat disturbed the focus from environment to resilience due to severe economic implications of COVID-19. In this paper, we contribute to the very scant discussion on Twitter Analytics by analysing supply chain tweets with COVID-19 at the backdrop. Our approach involves analysing how decarbonization related discussions have evolved by capturing the tweets across three timelines: pre pandemic, pandemic and post pandemic. By integrating descriptive analytics, content analytics and machine learning algorithm in topic modelling, we extract textual intelligence related to emissions and pollution from leading firms involving supply chain management. We find that although decarbonization related discussions are at bare minimum in terms of the proportion of discussions within the supply chain context, the overall emotion of tweets indicate fear across all three timelines. Moreover, it was surprising to note that although pollution levels came down due to low economic activity during pandemic, we found more discussions during COVID in comparison to pre-COVID times. Pollution and waste caused by plastics, fuel consumption, reduction in greenhouse gas emission are some of the key topics that emerged during pandemic times. Our paper makes a modest contribution on the role of social media analytics within supply chain context around COVID-19.

Open Access: Yes

DOI: 10.1007/s10479-023-05806-4

Crop Yield Prediction in Precision Agriculture

A. Nyéki M. Neményi

Publication Name: Agronomy

Publication Date: 2022-10-01

Volume: 12

Issue: 10

Page Range: Unknown

Description:

Predicting crop yields is one of the most challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. Soil, meteorological, environmental, and crop parameters are used to predict crop yield. A wide variety of decision support models are used to extract significant crop features for prediction. In precision agriculture, monitoring (sensing technologies), management information systems, variable rate technologies, and responses to inter- and intravariability in cropping systems are all important. The benefits of precision agriculture involve increasing crop yield and crop quality, while reducing the environmental impact. Simulations of crop yield help to understand the cumulative effects of water and nutrient deficiencies, pests, diseases, and other field conditions during the growing season. Farm and in situ observations (Internet of Things databases from sensors) together with existing databases provide the opportunity to both predict yields using “simpler” statistical methods or decision support systems that are already used as an extension, and also enable the potential use of artificial intelligence. In contrast, big data databases created using precision management tools and data collection capabilities are able to handle many parameters indefinitely in time and space, i.e., they can be used for the analysis of meteorology, technology, and soils, including characterizing different plant species.

Open Access: Yes

DOI: 10.3390/agronomy12102460

Uncovering the Spatial Logic of Tourism Attractions: A Geospatial Analysis of Distribution Patterns and Driving Forces in Luxor, Egypt

Lóránt Dávid Moaaz Kabil Heba Mostafa Hassan Mona Abdel Fattah Abdel Moneim

Publication Name: Forum Geografi

Publication Date: 2026-04-01

Volume: 40

Issue: 1

Page Range: 91-107

Description:

The spatial distribution of tourism attractions plays an important role in shaping visitor travel behaviour, accessibility to tourism locations, and tourist destination management and planning. This study examines the spatial patterns of tourism attractions in Luxor Governorate, Egypt, and the factors influencing these spatial relationships using a variety of geospatial analysis techniques. These techniques include Nearest Neighbour Index (NNI), Standard Deviational Ellipse (SDE), Kernel Density Estimation (KDE), and Local Moran’s I. In addition, a combination of the Analytic Hierarchy Process (AHP) and Geodetector were applied to determine which of sixteen identified factors influenced the distribution of tourist attractions in Luxor. Finally, the spatial relationships between the identified factors and the distribution of tourist attractions were analysed through the use of Multiscale Geographically Weighted Regression (MGWR). The results show that there is a strong clustering of tourism attractions in Luxor within three main hubs: Luxor City (East Bank), Qurna (West Bank), and Esna. The results further indicate that the most influential factors influencing the distribution of tourist attractions in Luxor include regional services centrality, GDP index, proximity to urban centres, tourism workforce localisation, urbanisation level, and environmental quality, respectfully. The implications of this research provide practical applications for developing more sustainable and balanced tourism development strategies in heritage-rich regions such as Luxor.

Open Access: Yes

DOI: 10.23917/forgeo.13279

Necessary and sufficient conditions for the equality of interactive and non-interactive extensions of continuous functions

Lucian Coroianu Robert Fuller

Publication Name: Fuzzy Sets and Systems

Publication Date: 2018-01-15

Volume: 331

Issue: Unknown

Page Range: 116-130

Description:

In this contribution we find the class of n-dimensional joint possibility distributions with the property that the interactive extension principle coincides with the non-interactive extension principle as long as the interactive operations are determined by continuous functions strictly increasing in each argument. This result completes recent studies by the authors, where the particular case of interactive additions and multiplications versus non-interactive additions and multiplications were investigated. In addition, this time we propose results that also cover the cases when we know the fuzzy numbers only from their membership functions. It means that we eliminated the limitations that appear when we cannot pass from membership function representation to parametric representation of fuzzy numbers. As important new applications, we mention the study on the completely correlated fuzzy numbers. Also of note is that we propose two simple methods to extend bidimensional joint possibility distributions to n-dimensional joint possibility distributions. One method is based on an inductive construction while the other one is based on a pairwise construction.

Open Access: Yes

DOI: 10.1016/j.fss.2017.07.023

5G Opportunities in the South Pacific: Leveraging Low-Band Spectrum for Socio-Economic Development

Laszlo Vasa Satyanand Singh Joanna Rosak-Szyrocka Pragya Singh

Publication Name: Hightech and Innovation Journal

Publication Date: 2024-06-01

Volume: 5

Issue: 2

Page Range: 508-533

Description:

This paper explores the potential for deployment of 5G communication in the South Pacific, with a particular focus on leveraging the low-band spectrum for socio-economic development. The purpose of this study is to assess the feasibility of deploying 5G infrastructure in the South Pacific region, analyze the socio-economic benefits it may bring, and propose strategies to maximize these benefits. The research methodology includes a comprehensive review of existing literature on 5G deployment strategies, the socio-economic impacts of telecommunications infrastructure, and case studies of similar initiatives in other regions. The findings show that the deployment of 5G technology using low-band spectrum has the potential to significantly improve connectivity, healthcare, education, and economic opportunities in the South Pacific. Additionally, the paper proposes innovative approaches to address challenges such as infrastructure development in remote areas and affordability for marginalized communities. This study contributes to existing literature by providing tailored recommendations for leveraging 5G technology to address socio-economic inequalities in the South Pacific, thereby contributing to the development of telecommunications infrastructure in the region. Provides a new perspective on the possibilities of structure.

Open Access: Yes

DOI: 10.28991/HIJ-2024-05-02-020

Codes in the codons: Construction of a codon/amino acid periodic table and a study of the nature of specific nucleic acid - Protein interactions

Balázs Benyó J. C. Biro Z. Benyó

Publication Name: Annual International Conference of the IEEE Engineering in Medicine and Biology Proceedings

Publication Date: 2004-12-01

Volume: 26 IV

Issue: Unknown

Page Range: 2860-2863

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.

Open Access: Yes

DOI: DOI not available