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Found 6383 publications

A Data-Driven MCDM Approach to Evaluating Sexual Harassment Factors in Educational Settings: Integrating OrdPA-F with Triangular Intuitionistic Fuzzy MARCOS Methods

A. Q. Baig Dragan Pamucar Muhammad Kamran Ixtiyarov Farxod Muhammad Imran Shahid

Publication Name: Boletim Da Sociedade Paranaense De Matematica

Publication Date: 2025-01-16

Volume: 43

Issue: Unknown

Page Range: Unknown

Description:

This study examines the impact of ordering elements on sexual harassment in educational environments and assesses legislative measures aimed at improving the safety of female students in schools and universities. The combination of the ordinal priority approach with fuzzy information and intuitionistic fuzzy MARCOS within a decision framework facilitates the identification of numerous critical components. Initially, we employ an ordinal priority method on fuzzy data to determine the weights of the attributes. Subsequently, we employ the intuitionistic fuzzy MARCOS methodology to assess the prioritised aspects. The formulation of triangular fuzzy numbers for analytical objectives enhances decision-making. This study employs Dombi aggregation operations to comprehensively assess the influence of these factors on school sexual harassment. This research presents a systematic, data-informed approach to assist legislators in developing successful strategies for mitigating sexual harassment and improving safety in educational settings.

Open Access: Yes

DOI: 10.5269/bspm.78139

A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering

Dragan Pamucar Tahir Mahmood Jabbar Ahmmad Hafiz Muhammad Waqas

Publication Name: Heliyon

Publication Date: 2025-01-15

Volume: 11

Issue: 1

Page Range: Unknown

Description:

Improving human health and comfort in buildings requires efficient temperature regulation. Temperature control system has a significant contribution in minimizing the impact of climate change. Temperature control system is used in industry to control temperature. The polar form of complex Pythagorean fuzzy set is a limited notion because when decision makers take the value for membership degree as 0.71+ι0.81 then we can observe that the basic condition for complex Pythagorean fuzzy set fails to hold that is r=0.712+0.812=1.3661∉[0,1]. Moreover, we can observe that the Cartesian form of a complex Pythagorean fuzzy set is also a limited notion because it can never discus advance data. Hence keeping in mind these limitations of the existing notions, in this article, we have explored the Cartesian form of a complex q-rung orthopair fuzzy set. Moreover, we have developed the Yager operational laws based on a Cartesian form of complex q-rung orthopair fuzzy set. We have introduced aggregation theory named complex q-rung orthopair fuzzy Yager weighted average and complex q-rung orthopair fuzzy Yager weighted geometric aggregation operators in Cartesian form. Based on these aggregation operators, we have initiated a multi-attribute group decision-making (MAGDM) approach to define the reliability and authenticity of the developed theory. Furthermore, we have utilized this device algorithm in the selection of a temperature control system. The comparative study of the delivered approach shows the advancement and superiority of the delivered approach.

Open Access: Yes

DOI: 10.1016/j.heliyon.2025.e41668

Tracing knowledge diffusion trajectories in the research field of cyberbullying

Edit Süle Imen Zrelli Abderahman Rejeb Karim Rejeb

Publication Name: Heliyon

Publication Date: 2025-01-15

Volume: 11

Issue: 1

Page Range: Unknown

Description:

In today's digital age, cyberbullying has emerged as a pervasive issue that affects individuals across various social media platforms and digital communication channels. This review explores the developmental trajectory of cyberbullying as an interdisciplinary academic field, employing a unique combination of co-word analysis and main path analysis (MPA) across a substantial body of 5183 documents. This integrated methodological approach allows for a nuanced examination of the evolution of themes and influential works within the realm of cyberbullying research. The findings highlight a complex landscape where initial focus areas, such as the behavioral and psychological triggers of cyberbullying, progressively expand towards exploring effective preventive measures and intervention strategies. Key themes identified include the impact of digital literacy, the dual role of social media as both a vector and a tool against cyberbullying, and the potential of technological advancements in detecting and mitigating cyberbullying. This comprehensive mapping and analysis deepens our understanding of cyberbullying and highlights the dynamic nature of this field, suggesting new directions for future research and practical applications to effectively address cyberbullying across various social and technological contexts. This study represents a pioneering effort in synthesizing a broad spectrum of research to offer detailed insights into the changing dynamics of cyberbullying, marking a significant contribution to both academic knowledge and practical approaches to handling cyberbullying.

Open Access: Yes

DOI: 10.1016/j.heliyon.2024.e41141

Dr. Steinberger Sarolta (1875–1966) és az ártatlanság vélelme

Bóka Dalma Göndör Éva Zsák Brúnó

Publication Name: Orvosi Hetilap

Publication Date: 2025-01-12

Volume: 166

Issue: 2

Page Range: 77-80

Description:

No description provided

Open Access: Yes

DOI: 10.1556/650.2025.HO2817

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

Food Industry 4.0: Principles, technologies, and the emergence of Seafood 4.0

Abdo Hassoun Abderahman Rejeb

Publication Name: Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 3-30

Description:

The global food sector is experiencing a significant transformation through the adoption of Industry 4.0 technologies, including artificial intelligence (AI), blockchain, Internet of Things (IoT), robotics, big data analytics, and smart sensors, among others. These advancements are reshaping food production, processing, and supply chains by enhancing efficiency, transparency, and sustainability. This chapter explores the enabling technologies of Industry 4.0 and introduces the concept of Seafood 4.0, demonstrating how these innovations address challenges in aquaculture, fisheries, and seafood processing by optimizing resource use, enhancing traceability, and ensuring product quality while fostering sustainable practices. Applications such as IoT and smart sensors for aquaculture monitoring, blockchain for fisheries traceability, and robotics for seafood processing automation are transforming the sector. However, adaptation of these applications faces significant challenges, including high costs, infrastructure gaps, and data privacy concerns. Overcoming these obstacles will require collaboration among stakeholders, supportive regulatory frameworks, and strategic investment in innovation. The adoption of these advanced technologies empowers diverse food-related sectors, including seafood, to enhance efficiency, transparency, and sustainability, ensuring food security and promoting environmental stewardship.

Open Access: Yes

DOI: 10.1016/B978-0-443-33750-5.00004-4

Notes on the chigger mites (Acari: Parasitengona: Trombiculidae) of Hungary with new records on the avian hosts of Blankaartia acuscutellaris (Walch, 1922)

Károly Erdélyi Jenő Kontschán Péter Molnár Péter Molnár Tibor Hadarics Péter Takács Enikő Horváth József Gyurácz Sándor Hornok

Publication Name: Ecologica Montenegrina

Publication Date: 2025-01-01

Volume: 84

Issue: Unknown

Page Range: 103-107

Description:

No description provided

Open Access: Yes

DOI: 10.37828/em.2025.84.9

New alternatives to private car transport for different powertrains in Hungary - Trends in the petrol, diesel and electric drive solutions

Eniko Nagy Karl Eva Mark Viktor Katai Gyorgy Molnar

Publication Name: Ines 2025 29th IEEE International Conference on Intelligent Engineering Systems 2025 Proceedings

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 285-289

Description:

As time passes and technology becomes more impressive, more ways exist to process, store and visualise data, contributing to data analytics' power. The most common process is to collect data from different sources and store it in some file format. Some process then passes the acquired information to a data warehouse where the data can be stored and queried. Once the right data and tables have been selected, they are imported and exported to a visualisation system, where reports can be generated from the available information. All that remains is to create a custom website where the reports can be displayed. In this paper, we work with data related to petrol, diesel, and electric vehicles. The dataset was synthetically generated using a simulation model developed by the author to reflect realistic automotive scenarios. An ETL process will import the data into the data warehouse, which will be stored for subsequent analysis. The information is then exported from the data warehouse to be processed by the visualisation program and used to make statements. This process aims to demonstrate how the values derived from the generated data transition from their raw form to a visualised state. Given the current global transformation of the automotive industry, this topic was selected due to its relevance and the widespread impact of these changes. The study aims to generate various analytical statements, such as the average engine power across different car brands or the average fuel consumption per 100 kilometres for specific vehicle types.

Open Access: Yes

DOI: 10.1109/INES67149.2025.11078211

Current Issues in Effective Learning: Methodological and Technological Challenges and Opportunities Based on Modern ICT and Artificial Intelligence

Eniko Nagy Gyorgy Molnar

Publication Name: Eai Springer Innovations in Communication and Computing

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: 1-11

Description:

Today, the discourse around the current issues of effective learning is increasingly centred on modern information and communication technologies (ICT) and artificial intelligence (AI)-based methodological and technological solutions. ICT tools, such as online learning platforms, virtual classrooms and digital textbooks, have significantly transformed the educational environment, providing opportunities for personalised learning and remote access. In addition, AI-based applications, such as student performance analysis and curriculum customisation, are opening up new horizons in education. AI can create adaptive learning systems that continuously adapt to the needs and progress of students, thus increasing the effectiveness of learning. But these new technologies and methods also bring with them a number of challenges. One major challenge is digital inequality, as not all students have access to ICT tools and the Internet. Furthermore, educators need to continuously develop their digital competences to keep up with technological developments and effectively integrate new methods into teaching. There are also ethical issues, in particular data protection and student privacy. New opportunities include the use of learning analytics to help educators better understand learning processes and identify areas where students need help. Interactive and gamified learning materials developed with the help of AI can make learning more motivating and enjoyable, thereby increasing student engagement. Overall, the integration of modern ICT and AI-based methods and technologies into education offers significant benefits, but their successful implementation requires adequate infrastructural support, continuous training for teachers and digital access for students. This article provides a brief summary of all these phenomena, trends, opportunities and good practices.

Open Access: Yes

DOI: 10.1007/978-3-031-81261-3_1