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Publications - 6374

Algebraic structure of fuzzy signatures

María Eugenia Cornejo Ĺaszĺo T. Ḱoczy Jesús Medina-Moreno

Publication Name: Fuzzy Sets and Systems

Publication Date: 2021-08-15

Volume: 418

Issue: Unknown

Page Range: 25-50

Description:

Fuzzy signatures have been used for various applications, including medical diagnosis, communication of robots based on intention guessing, and residential building evaluation. However, there exist many questions about this research topic which have not been addressed in the literature. One of the most important aims is to formally define a family of fuzzy signatures from which an algebraic structure can be obtained allowing to make computations among fuzzy signatures. This paper studies this family and defines suitable meet and join operators satisfying the properties of a lattice as an algebraic structure. A partial ordering relation, the least and greatest elements are also defined on the family of fuzzy signatures. As a consequence, fuzzy signatures can be used as truth values of fuzzy sets, which provides a great level of representativity, completely different from the interval-valued and type-2 fuzzy sets, among others.

Open Access: Yes

DOI: 10.1016/j.fss.2020.12.020

Predominantly diastolic coronary narrowing caused by iatrogenic left main dissection: deferral of stenting by combined angiographic- and ultrasound-based functional assessment

Csaba András Dézsi András Ágoston Michael Kest Ádám Piricsi Zsuzsanna Tokár Zsolt Kőszegi

Publication Name: International Journal of Cardiovascular Imaging

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

No description provided

Open Access: Yes

DOI: 10.1007/s10554-026-03706-9

Hypergraph-based Modeling of Cognitive Dataflow Systems

Adam Csapo Csaba Hajdu

Publication Name: 2024 IEEE 15th International Conference on Cognitive Infocommunications Coginfocom 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 37-42

Description:

Cognitive systems have become widespread in various computer-based applications, from assistants to robotic systems. Although such systems are useful even in their current version, there is a growing need to incorporate semantic information. This paper introduces HyMeKo, a framework for modeling information using hypergraphs, which allows for the creation of multiple relationships between information entities through a LALR(1)-based language. The framework’s primary application contexts are in robotics, cyber-physical systems, and intelligent systems. A key innovation of this work is a transformation method between hypergraph semantic descriptions and e-adjacency tensors. An additional practical result from the implementation of the framework is a hypergraph-based dataflow system, enabling the simultaneous description and execution of dataflow processes. The paper includes a minimal example to compare the compactness of the introduced language with the widespread URDF, to describe a minimal, 2-link system, demonstrating its advantages in terms of conciseness and flexibility.

Open Access: Yes

DOI: 10.1109/CogInfoCom63007.2024.10894728

Effectiveness of different training models for running performance in female youth triathletes

Zsolt Szakály Zsofia Papai Zsuzsanna Liszkai Marta Wilhelm

Publication Name: Biomedical Human Kinetics

Publication Date: 2025-01-01

Volume: 17

Issue: 1

Page Range: 290-300

Description:

Study aim: The aim of this study was to analyze the effectiveness of polarized (Pol) and threshold (TR) training in youth triathletes (15–18 years). Material and methods: Female youth triathlete subjects taking part in systematic training (n = 42, n(Pol) = 21; n(TR) = 21; at the beginning age(Pol) = 14.63±1.25 years; age(TR) = 14.61 ± 0.89 years) were studied. In this 3-year-long research, anthropometric characteristics and performance were measured, using a spiroergometric, maximal exercise test. Run time spent on a treadmill and physiological data were analyzed. Results: There were no significant differences in anthropometric variables during the study period, but a difference was observed between the two groups in heart rate at the third year. Relative oxygen uptake (rVO2), ventilation (VE) and performance (Time) increased significantly (p < 0.05) in the Pol group, suggesting that this method can also be successful in youth training. Conclusions: Our study results support other research findings demonstrating the effectiveness of polarized training. Further expansion of our sample is necessary to provide guidance for youth triathlon training.

Open Access: Yes

DOI: 10.2478/bhk-2025-0028

Military Assistance to Ukraine and Its Significance in the Russo-Ukrainian War

Kolos Kusica Julia Szoke

Publication Name: Social Sciences

Publication Date: 2023-05-01

Volume: 12

Issue: 5

Page Range: Unknown

Description:

The interest of social sciences in the military dates back ages, and currently, special attention is being paid to Russia’s war in Ukraine. The present paper also follows this research trend, and it intends to analyze both the tactical and operational levels of war by investigating how the military assistance provided by Western states and international organizations to Ukraine is influencing the course of the Russo-Ukrainian war. Subsequently, the paper studies the military assistance in all three phases of the war, beginning from the invasion of Crimea, through the Donbas offensive, to the phase of Ukrainian counter-offensives. The research method used by this paper was to review and synthesize the existing but scarce and sometimes disinformative literature. The findings suggest that Western military aid began cautiously by providing only non-lethal, defensive weapons, but it was of crucial importance in the second phase of the war by guaranteeing heavy weaponry. The paper concludes that Western military assistance, especially from the United States, United Kingdom, Poland, and Germany, has had a significant role in the Russo-Ukrainian war, without which Ukrainian forces may not have persisted to now.

Open Access: Yes

DOI: 10.3390/socsci12050294

The Resilience of the Hungarian Court System Between 2012 and 2020

Mátyás Bencze

Publication Name: European Union and Its Neighbours in A Globalized World

Publication Date: 2025-01-01

Volume: 16

Issue: Unknown

Page Range: 161-176

Description:

In this chapter, I will first outline the political challenges the Hungarian court system has faced since 2010 and also present the characteristics of the organizational setting of the administration of justice, which has been a decisive factor in the response to those challenges. I will then turn to a discussion of how the relationship between the political system and the courts has changed since 2010. Using statistical methods and content analysis, I will prove the hypothesis that sporadic governmental expressions of opinion on certain judicial decisions before 2010 have been replaced by the systematic assertion of the interests of political power in public communication to the courts since the change of government in 2010. I will then describe the reactions of the domestic judicial leadership and use content analysis to identify the extent and nature of the reactions and how the strength of the resistance has changed over time. Finally, I draw conclusions about the factors that influence the preservation of the resilience of the judiciary.

Open Access: Yes

DOI: 10.1007/978-3-031-70451-2_10

Crisis Resilience of Startup Companies (The Case of Hungary among the Visegrad Countries with a Focus on the Pandemic)

Petra Kinga Kézai Attila Kurucz

Publication Name: Sustainability Switzerland

Publication Date: 2023-05-01

Volume: 15

Issue: 9

Page Range: Unknown

Description:

The study examines the crisis resilience of startup companies in Hungary among the Visegrad countries as a result of the pandemic situation. It aims to provide guidance on what support is needed for startups in the post-crisis period to re-launch the economy and to contribute to the region’s economy with positive results. The research was carried out in two stages: first, in 2021 through an online survey, and then, in 2022 in-depth interviews due to the economic crisis caused by COVID-19 and the Russian–Ukrainian war. A mixed research methodology was used, which comprised an online questionnaire administered in the Crunchbase database (n = 97) and in-depth interviews among startup founders and experts of the startup ecosystem (n = 22). The research summarizes the V4 countries’ measures to protect entrepreneurship with a particular focus on startups. The research found that a crisis such as a pandemic did not have a uniformly negative impact on startups. The winners of the economic crisis are startups in IT, healthcare (Medtech. health-tech), e-commerce and digital education, while those who fared worst are startups in tourism and hospitality. The positive impact of the crisis has been a cleansing of the startup ecosystem. Business support measures supported the viable startups and helped them survive.

Open Access: Yes

DOI: 10.3390/su15097108

Opportunities for analysing digitalisation in the context of banking services in the European Union, 2017–2018

Tamás Vinkóczi Kovács Gábor

Publication Name: Teruleti Statisztika

Publication Date: 2022-01-01

Volume: 62

Issue: 1

Page Range: 35-58

Description:

Nowadays, the development of the digital economy is gaining ground, changing consumer expectations through the opportunities offered by the internet and ICT, and requiring continuous improvements from financial service providers. The aim of this paper is to examine the regional dimension of banking services analyses by comparing the financial digital modernisation clusters and rankings of EU Member States with the traditionally accepted overall digital development analyses. After describing the impact of digitalisation on financial geography, the paper presents the European Union's (EU) digital transformation efforts and the financial relevance of digitalisation, as well as the major past changes and the current situation of the financial intermediation system. The findings of the empirical analysis show that the clustering of the EU28 Member States based on their overall digital development shows a partial correspondence with the results of studies focusing on digital banking services. The research confirms the advantages of the Northern European countries in digitalisation, but also reveals the divergent nature of the Western and Eastern Member States.

Open Access: Yes

DOI: 10.15196/TS620102

Automated Corrosion Feature Matching Based on In-Line Inspections Using Point Pattern Alignment and Proximity–Overlap Optimization

Peter Foldesi Mohamad Shatnawi

Publication Name: IEEE Access

Publication Date: 2025-01-01

Volume: 13

Issue: Unknown

Page Range: 197996-198015

Description:

Corrosion is a leading cause of pipeline failures, responsible for up to a third of reported incidents. Given the extensive length and limited accessibility of pipelines, operators rely on frequent in-line inspections (ILIs) to detect and quantify corrosion defects. Feature matching between successive ILIs is therefore utilized to align and compare this data, enabling the identification of corrosion evolution and behavior. However, measurement uncertainties, nonuniform corrosion growth, and spatial interactions between adjacent defects pose significant challenges in achieving accurate matching. This study proposes a two-phase feature matching model designed to address these limitations. The first phase performs Iterative Closest Point (ICP) alignment with a context-aware nearest neighbor selection strategy based on Directional Epsilon Neighborhood Clustering (DENC) to isolate stable feature pairs and minimize ambiguous associations in densely clustered defect regions. The second phase applies a novel proximity–overlap-informed correspondence optimization using linear programming to identify matches and outliers by jointly considering feature positioning and geometric attributes. The model’s effectiveness is evaluated on a 1116 m subsea pipeline segment involving two consecutive inspections reporting 1305 and 1491 features, respectively. Compared to three state-of-the-art models, the proposed approach achieves a recall, precision, and F1 score of 99.2%, demonstrating substantial improvements in accuracy, stability, and robustness to inspection and corrosion-related uncertainties. These results confirm the model’s ability to address critical limitations in existing approaches and underscore its potential to enhance pipeline integrity assessments.

Open Access: Yes

DOI: 10.1109/ACCESS.2025.3633778