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Publications - 6374

Application of structural entropy and spatial filling factor in colonoscopy image classification

Brigita Sziova Zoltán Fazekas Szilvia Nagy

Publication Name: Entropy

Publication Date: 2021-08-01

Volume: 23

Issue: 8

Page Range: Unknown

Description:

For finding colorectal polyps the standard method relies on the techniques and devices of colonoscopy and the medical expertise of the gastroenterologist. In case of images acquired through colonoscopes the automatic segmentation of the polyps from their environment (i.e., from the bowel wall) is an essential task within computer aided diagnosis system development. As the number of the publicly available polyp images in various databases is still rather limited, it is important to develop metaheuristic methods, such as fuzzy inference methods, along with the deep learning algorithms to improve and validate detection and classification techniques. In the present manuscript firstly a fuzzy rule set is generated and validated. The former process is based on a statistical approach and makes use of histograms of the antecedents. Secondly, a method for selecting relevant antecedent variables is presented. The selection is based on the comparision of the histograms computed from the measured values for the training set. Then the inclusion of the Rényi-entropy-based structural entropy and the spatial filling factor into the set of input variables is proposed and assessed. The beneficial effect of including the mentioned structural entropy of the entropies from the hue and saturation (H and S) colour channels resulted in 65% true positive and 60% true negative rate of the classification for an advantageously selected set of antecedents when working with HSV images.

Open Access: Yes

DOI: 10.3390/e23080936

Bananas, coffee and palm oil: The trade of agricultural commodities in the framework of the EU-Colombia free trade agreement

Laszlo Vasa Béla Soltész Julieth P.T. Cubillos

Publication Name: Plos One

Publication Date: 2021-08-01

Volume: 16

Issue: 8 August

Page Range: Unknown

Description:

Generally, research and studies about commodities focus on price trends, analysis in terms of international competitiveness, market position structure, rate of net exports, market share, and concentration index. This paper has developed an analysis of the most influential agricultural commodities traded from Colombia to European Union, which are bananas, coffee, and palm oil. Analyzing the economic and commercial effects in two traditional agricultural commodities from Colombia (bananas and coffee) with the rise of palm oil as a commodity in the trade relation with its partner; the European Union. The structure draws from the overview of general aspects and the behavior of Colombian foreign trade, as diversification of export products and trade partners, to focus on the characteristics of the trade relationship between the European Union and Colombia. The aim is analyze the proportional relation between bananas, coffee, and palm oil exported to the EU, according to three indicators, the volume of production, exports share, and trade value, from 2008 until 2019, identifying the trends before and after the implementation of the free trade agreement. Finally, with the coefficient correlation, determine the agricultural commodity that has the strongest and positive relationship with the total agricultural exports value from Colombia to the European Union.

Open Access: Yes

DOI: 10.1371/journal.pone.0256242

Assessing Levee Stability Under Climate Change: A Case Study of Szigetköz, Ásványráró

Edina Koch Samuel Alexandro Silitonga Emmanuel Saah Tambah

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 127-132

Description:

Levees are critical flood protection structures, safeguarding communities and ecosystems from riverine flooding. However, climate change-induced alterations in precipitation patterns, flood magnitudes, and soil stability pose significant challenges to levee performance. This study evaluates the stability and resilience of the Ásványráró levee in the Szigetköz region, northwest Hungary, under projected climate change impacts. The research employs a combination of geotechnical field data and numerical modelling to assess levee behaviour under various stress conditions. Cone Penetration Testing (CPT) was conducted to determine the geotechnical properties of levee foundation soils, providing insights into stratigraphy, permeability, and shear strength. These data were incorporated into Plaxis 2D finite element modelling to simulate flood scenarios, seepage effects, and potential failure mechanisms under different climate projections. Overall, the results showed that climate change significantly increases levee vulnerability through enhanced seepage, deformation, and hydraulic loading. Results indicate that increased flood intensity and prolonged inundation exacerbate levee instability through overtopping, seepage-induced erosion, and slope failure. The findings highlight the necessity for proactive levee reinforcement strategies and adaptive management of levee systems. This study underscores the importance of integrating climate change projections into levee design and maintenance plans, providing a framework for policymakers and engineers to enhance flood resilience in vulnerable regions. By adopting advanced geotechnical assessments and numerical simulations, the research contributes to the development of more robust and climate-adaptive flood defence systems.

Open Access: Yes

DOI: 10.3303/CET25121022

INTUITIVE DECISION: WHEN TO BEGIN THE SUCCESSION PROCESS

Katalin Darabos

Publication Name: Corvinus Journal of Sociology and Social Policy

Publication Date: 2022-01-01

Volume: 13

Issue: 2

Page Range: 79-105

Description:

The aim of the paper is to increase understanding of the succession decision-making process in family businesses. In understanding this phenomenon on the personal level of reality and understanding the decision-making process involved in succession, the decision-maker’s thought process and aspirations have to be taken into consideration. Based on a survey, a knowledge-based expert system tool (Doctus) was used to order successors’ intuitive knowledge and aspirations in order to deepen our understanding of the succession decision-making phenomenon. The diversity of the identified rules suggests that first generational change does not happen according to a single model but rather a variety of pathways are followed, depending on the context.

Open Access: Yes

DOI: 10.14267/CJSSP.2022.2.4

Control, Responsibility, Censorship: The Institutional Structure of Hungarian Press Regulation During the First World War – Within the Framework of the 1912 Act on Exceptional Powers

Roland Kelemen

Publication Name: Journal on European History of Law

Publication Date: 2025-01-01

Volume: 16

Issue: 2

Page Range: 133-140

Description:

This study explores the institutional structure of press regulation in Hungary during the First World War, with particular emphasis on there construction of jurisdictional and supervisory relationships. Rather than following a unified, hierarchical model, the wartime system operated through a complex, multi-actor network involving ministries, the Board of Military Supervision (HFB), the Press Subcommittee, prosecutorial authorities, military commands, and the Prime Minister’s Press Office. Drawing on archival sources and official reports, the analysis outline show actual control over the press was divided, how political, military, and judicial authorities exercised oversight, and how mechanisms such as the “three-hour censorship,” confidential notices, and objective prohibitions functioned in practice. Particular attention is paid to the fragmented and contingent nature of provincial press oversight, shaped by structural inconsistencies, linguistic limitations, and proximity to the front. Rather than relying on abstract theoretical frameworks, the article reconstructs the internal dynamics of exceptional legal regulation through the lens of everyday practice and applied legal logic.

Open Access: Yes

DOI: DOI not available

Anti-Zionism of the Communist Party in Hungary During the Rákosi Era (1948-1953)

Róbert Győri Szabó

Publication Name: East European Jewish Affairs

Publication Date: 2026-01-01

Volume: 54

Issue: 1

Page Range: 114-133

Description:

During the years of Stalinism in Hungary, the communist regime had a complex and ambivalent attitude towards people of Jewish origin and Jewish identity. Whereas it had previously tolerated the increasingly popular Zionism during the post-war coalition years, after the regime change in the context of the establishment of the Jewish state and subsequent changes in Soviet policy, this tolerance almost immediately ended. It began to persecute Zionist organizations and Zionists alike, Zionist institutions were liquidated, and criminal proceedings were initiated against their leaders. To explore and present the subject, this study draws on archival sources of the period and the Hungarian secondary literature.

Open Access: Yes

DOI: 10.1080/13501674.2025.2596635

Replacing Traditional Transmission Models with Artificial Intelligence †

Cs Tóth-Nagy Tamás Koller

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

The development of vehicle simulation models is becoming increasingly important, especially for the virtual validation of new automotive features. New methods are emerging that need to be tested and validated to ensure their proper functioning. The use of artificial intelligence methods can accelerate product development processes, so it is essential for companies to examine the applicability of these solutions. This article compares the results of a traditional rule-based transmission model and an artificial intelligence-based transmission model against real vehicle measurements. Creating a transmission model using the new artificial intelligence-based method requires less time and effort than developing a rule-based model. However, experimental data is required to train the model. This paper addresses the challenges of artificial intelligence-based transmission modeling and highlights the new advantages of artificial intelligence-based solutions.

Open Access: Yes

DOI: 10.3390/engproc2025113061

FORTRESS, WITH OPEN POSSIBILITIES: ELEMENTARY SCHOOL, ÉRD, HUNGARY

Krisztina Somogyi

Publication Name: Metszet

Publication Date: 2025-01-01

Volume: 16

Issue: 4

Page Range: 36-43

Description:

In an uncertain physical and intellectual environment, a presentation that suggests safety and a well-structured order is likely the best architectural strategy when designing a school. The idea of Érd Fenyves Parkváros Public Education Center started in 2016 with poorly articulated intentions, thus without a significant professional program or partners. Observing the functioning of the school that was handed over a couple of years ago and has been inhabited for a year and a half, the building has many spatial qualities that are still untapped. Led by Tamás Karácsony, György Major, and Péter Klobusovszki, the 24-classroom primary school created in the 'Vertical Workshop' of the Department of Public Building Design at BME may seem like a traditional fortress, but it could also serve as a pedagogy center that opens up to communities and offers alternatives.

Open Access: Yes

DOI: 10.33268/Met.2025.4.6

Managerial Attitudes and the Integration of Artificial Intelligence: Impacts on Supply Chain Flexibility

Péter Németh Andrea Rankl

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 145-150

Description:

Artificial intelligence (AI) is rapidly becoming a strategic driver of competitiveness in supply chain management (SCM), enhancing flexibility, efficiency, and responsiveness. However, successful adoption depends not only on technology but also on managerial attitudes and organizational culture. Understanding this behavioral dimension is essential in explaining how leadership influences AI-driven adaptability and resilience. This study develops a conceptual, interdisciplinary framework linking management theory, organizational psychology, and SCM to examine how leadership styles—particularly servant, transactional, and transformational—shape AI integration and adaptability. The proposed triadic model identifies managerial attitudes, AI-supported decision-making, and information sharing as key behavioral and technological enablers of supply chain flexibility. Findings highlight that innovation-oriented leadership and strong information-sharing cultures accelerate AI adoption and strengthen adaptive capacity, while hierarchical, risk-averse attitudes constrain its impact. The study contributes to a behavioral perspective of SCM, showing that flexibility in AI-enabled supply chains results from the interaction between human and artificial intelligence.

Open Access: Yes

DOI: 10.3303/CET25121025