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Found 6407 publications

Hypergraph-based Modeling of Cognitive Dataflow Systems

Adam B. 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

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

Humane-oriented CSR on social media: The roles of other-praising emotions and social justice values

Laszlo Vasa Tamas Sneider Sarah Mohammad Suleiman Alsyoof

Publication Name: Journal of International Studies

Publication Date: 2025-01-01

Volume: 18

Issue: 3

Page Range: 46-67

Description:

Despite their potential to enhance CSR communication effectiveness, research on customer responses to humane-oriented CSR appeals on social media remains limited. In particular, little attention has been paid to the role of otherpraising emotions-gratitude, elevation, admiration, and awe-in shaping the impact of online humane CSR initiatives. Thus, this paper aims to investigate how humane orientation in CSR posts predicts other-praising emotions and how these emotions mediate the relationship between CSR and customer behavioral intentions, including purchasing and social media engagement. Moreover, the moderating roles of social justice values and self-construal are examined. Data were collected via survey from Jordanian Facebook users and analyzed using moderation and mediation techniques. Results revealed that humane orientation positively affected other-praising emotions, which mediated the relationship between humane CSR and consumer behavior. Social justice values moderated emotional responses to CSR, while self-construal had no significant moderation effect on the emotion–behavior links. Addressing gaps in CSR communication literature, these findings emphasize the importance of humane CSR and moral emotions in driving successful CSR discourse on social media. They also provide practical insights to help firms select and communicate CSR practices that effectively achieve their business goals.

Open Access: Yes

DOI: 10.14254/2071-8330.2025/18-3/3

Algebraic structure of fuzzy signatures

María Eugenia Cornejo Laszlo T. Koczy 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

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

(Imperial Legislation and Emperor’s Self-Defense - Codification Efforts and Tendences in European and Hungarian Criminal Law at the Turn of the 18th and 19th Centuries)

Attila Barna

Publication Name: Journal on European History of Law

Publication Date: 2025-01-01

Volume: 16

Issue: 2

Page Range: 50-58

Description:

The primary protection of the existence of the state, its fundamental institutions, and fundamental values from direct attacks has always been one of the most important tasks of the state. Since these protected institutions and values depend on the historical era and social system, it can be said that the definition of crimes against the state is always determined by the current, valid conception and structure of the state. The strict but often unregulated and outdated requirements for the crimes of treason and insult to the monarch, as well as the broad interpretation and application of procedural rules, which were often interpreted as royal prerogatives, ultimately led to an uncontrollable and arbitrary situation, with extraordinary jurisdictions and harsh punishments for extraordinary crimes. The legislature of the 18th and 19th centuries attempted to create modern rules that incorporated the doctrines of the Enlightenment and natural law, and were expected to precisely regulate political crimes.

Open Access: Yes

DOI: DOI not available

A BIM-Based Automated Framework for Waste Quantification and Management in the Deconstruction of Historical Buildings

Adam Bukovics Kitti Karolyfi Nóra Géczy

Publication Name: Sustainability Switzerland

Publication Date: 2025-12-01

Volume: 17

Issue: 24

Page Range: Unknown

Description:

The demolition of historic residential buildings generates substantial construction and demolition waste, the effective management of which is essential for advancing circular economy objectives. This study presents a BIM-based waste management framework developed for European residential buildings constructed around the turn of the 19th and 20th centuries, reflecting their characteristic construction methods and material use. The framework employs a predefined structural and material database to automatically quantify waste streams from BIM data at LOD 300. Demolition materials are classified into eight categories consistent with the waste hierarchy: reuse, recycling, energy recovery, and disposal. The model also accounts for the influence of demolition techniques, enabling comparative scenario analysis of recovery outcomes. A Budapest case study demonstrated that selective manual demolition increases the proportion of high-value reuse from 19.6% to 56.8% compared to mechanical demolition, while preserving 88% of salvaged bricks and 90% of architectural stone elements. Although the framework was tested on a building in Budapest, the results are extendable to the wider Central European (Austro-Hungarian) building stock due to typological similarities. The findings confirm the framework’s capacity to support sustainable, circular waste management strategies in historic building demolition.

Open Access: Yes

DOI: 10.3390/su172411214

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

Enhancement of Discrete Bacterial Memetic Evolutionary Algorithm for Solving the Travelling Repairman Problem

Boldizsár Tüu-Szabó Ali Jawad Ibada Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2026-01-01

Volume: 1222

Issue: Unknown

Page Range: 163-171

Description:

The Traveling Repairman Problem (TRP) is concerned with repairing a set of locations rather than visiting them. In this paper, we propose an enhanced version of the Discrete Bacterial Memetic Evolutionary Algorithm (DBMEA) to solve TRP. DBMEA is combining with a new method for generating the initial individual candidate solution which is called Circle Group Heuristic (CGH). CGH is constructed with the help of Genetic Algorithm (GA). The enhanced version of DBMEA with CGH has been tested for several benchmark reference data of TRP. The results show that the enhanced version has a faster and better solutions for most cases in comparison to state-of-the-art heuristics mentioned in the literature. Furthermore, for larger benchmark instances, it provided better solutions than the previously best-known results. These test results support the claim that the DBMEA with CGH is the most effective approach and recommend its use for the Traveling Repairman Problem, particularly for large instances.

Open Access: Yes

DOI: 10.1007/978-3-031-97879-1_18