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Found 6374 publications
A hybrid five-way decision architecture integrating q-ROFS with outranking relations and Bayesian risk optimization
Publication Name: Results in Engineering
Publication Date: 2025-12-01
Volume: 28
Issue: Unknown
Page Range: Unknown
Description:
To address the complex challenges of green sustainable agriculture arising from regional economic growth, this study proposes a novel five-way decision (F-WD) architecture. The framework is evaluated using a Bayesian risk mechanism to minimize expected losses, leveraging the flexibility of q-rung orthopair fuzzy logic ( q ¨ ≥ 1 ) combined with outranking relations and decision-theoretic rough sets (DTRS). This approach defines alternatives across five semantically interpretable regions, extending the conventional three-way decision (T-WD) framework to provide a more granular and versatile classification system. Outranking relations enable partial preference modeling among alternatives by incorporating dominance and incomparability, offering nuanced judgments when criteria conflict or are incommensurable unlike traditional ranking methods. The study begins by formulating F-WD specific relative gain and loss functions, laying the groundwork for the five zone decision-making process. It further validates the reliability of threshold values, their properties, and their role in defining decision boundaries. Compared to conventional methods like TOPSIS, Fuzzy AHP, T-WD-DTRS, IVIFS-ELECTRE, and the proposed technique demonstrates superior decision granularity, interpretability, and classification accuracy. These results underscore the method's credibility, soundness, and practical effectiveness in handling uncertainty, hesitation, and compromise in risk-sensitive environments. The q-ROFS-based F-WD model not only outperforms existing approaches but also serves as a powerful, adaptive tool for sustainable development, strategic planning, and policymaking in complex scenarios.
Open Access: Yes
Pro-environmental behavior as a driver of organizational sustainability: insights from a bibliometric analysis
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
This study aims to explore the current research progress and developmental trends in the domain of pro-environmental behavior (PEB) and its role in driving organizational sustainability. It further investigates how organizational, socio-cultural, and behavioral factors influence sustainability across various contexts and proposes directions for future research. The study employs a bibliometric review approach, which was conducted using R and VOSviewer software to identify key publication patterns, influential contributors, and thematic evolution. The analysis reveals a significant increase in research interest in PEB and organizational sustainability, particularly following the introduction of the UN’s Sustainable Development Goals (SDGs). The most developed themes in recent years involve employee attitudes, education, corporate social responsibility (CSR), green human resource management (GHRM), environmental commitment, and organizational citizenship behavior (OCB). This study offers a comprehensive and up-to-date synthesis of how PEB-related research supports organizational sustainability. It uniquely maps the intellectual structure and thematic evolution of the field over time. Furthermore, it provides theoretical contributions and practical implications by outlining future research directions, particularly in understanding the contextual influence of socio-cultural and behavioral drivers on organizational practices.
Open Access: Yes
Initial Validation of the Hungarian Version of Abridged Nutrition for Sport Knowledge Questionnaire (ANSKQ-HU)
Publication Name: Sports
Publication Date: 2025-12-01
Volume: 13
Issue: 12
Page Range: Unknown
Description:
Nutrition knowledge is essential for optimizing performance, recovery, and overall health in athletes. This study aimed to (1) adapt and validate the Hungarian version of the ANSKQ (Trakman et al., 2017) (ANSKQ-HU) and (2) assess the nutrition knowledge of Hungarian elite and recreational athletes. Following standard translation procedures and expert review, face validity was established. Data were collected from 1.335 athletes, and item difficulty, exploratory factor analysis (EFA), and reliability analyses were performed. A three-factor structure emerged: (1) Fundamentals of nutrition, energy needs, and prohibited substances; (2) Micronutrients and performance-enhancing sports nutrition; and (3) Utilization of macronutrients. While Cronbach’s alpha values were low (α = 0.41–0.62), this seemed acceptable given the dichotomous nature of the questionnaire. Most participants scored poorly (63.3%), with the lowest results in the micronutrients and performance-enhancing nutrition factor. Only 6.9% had formal nutrition education and most frequently respondents received help from coaches, family members, and friends. These findings highlight a significant gap in sports nutrition knowledge among Hungarian athletes and support the need for educative activities organized by sport nutrition professionals. The ANSKQ-HU is a reliable and valid tool for assessing nutrition knowledge in Hungarian athletes and can be a useful questionnaire for their support team (nutritionists, physicians).
Open Access: Yes
Effect of filament humidity on the properties of material extrusion 3D-printed acrylonitrile butadiene styrene/hexagonal boron nitride composites
Publication Name: Emergent Materials
Publication Date: 2025-12-01
Volume: 8
Issue: 8
Page Range: 6791-6806
Description:
This study investigates the effect of filament moisture content on material extrusion (MEX) 3D-printed composites using acrylonitrile butadiene styrene (ABS) as the polymer matrix and 0–10 vol% hexagonal boron nitride (BN) as reinforcement. ABS/BN composites were prepared through batchwise compounding and extruded into MEX-suitable filaments. The filaments were conditioned at 30 °C and 10% or 90% relative humidity (RH) before/during direct feeding into the 3D printer. Specimens were fabricated with raster angles parallel (0°) and perpendicular (90°) to their length. Micro- and macrostructural analyses using scanning electron microscopy and computed tomography revealed intensive void formation, especially in BN-filled composites 3D-printed from humid filaments. This was attributed to BN acting as a physical barrier, hindering the outgassing of evaporated water during 3D printing. Mechanical properties were evaluated using tensile and Charpy impact tests. Based on the tensile test results, neat ABS was the least sensitive to filament moisture, with tensile strength at 0° raster angle dropping from 40.5 MPa to 36.7 MPa as storage RH was increased from 10 to 90%. For composites with 10 vol% BN loading, tensile strength dropped from 34.1 MPa to 22.3 MPa. Charpy impact strength exhibited similar reductions, ascribed to the porous structure of the BN-filled composites caused by the evaporated moisture. Thermal conductivity was also examined, showing slightly superior performance for samples 3D-printed from filaments stored in less humid conditions. For unfilled ABS, the conductivity slightly decreased from 0.188 to 0.185 W/mK, while for 10 vol% BN-filled composite, it dropped from 0.778 to 0.617 W/mK.
Open Access: Yes
The impact of machine learning applications in agricultural supply chain: a topic modeling-based review
Publication Name: Discover Food
Publication Date: 2025-12-01
Volume: 5
Issue: 1
Page Range: Unknown
Description:
Machine learning (ML) has become a pivotal element in agriculture, providing groundbreaking solutions to tackle intricate issues related to productivity, sustainability, and resource management. A comprehensive examination of the current literature is crucial as the discipline evolves, allowing for the identification of significant themes, trends, and focal discussions. The current study employs latent Dirichlet allocation (LDA)-based topic modeling to examine 1114 publications regarding ML applications in agriculture, sourced from the Scopus database. The analysis indicates notable expansion in ML studies, featuring leading publications across various interdisciplinary fields. Six primary areas have been identified: precision agriculture and remote monitoring, molecular and food composition analysis, food systems and agricultural applications, quality assurance and adulteration detection, advanced financial and technological applications in ML, and predictive modeling for agricultural success and efficiency. Every topic is examined to highlight its contributions and possible avenues for further investigation. The analysis offers theoretical perspectives on the interdisciplinary aspects of ML in agriculture, along with practical applications for farmers, agribusiness experts, policymakers, and technologists. This study represents the first thorough review of ML applications in agriculture utilizing the LDA approach. It provides a current and comprehensive understanding of the field, while also uncovering emerging areas and opportunities for future exploration.
Open Access: Yes
Sustainability of water security in Burkina Faso—a review
Publication Name: Clean Technologies and Environmental Policy
Publication Date: 2025-12-01
Volume: 27
Issue: 13
Page Range: 8967-8979
Description:
Access to safe and clean water (Sustainable Development Goal 6 of the United Nations) is a fundamental human right and the most basic human need. However, 2.2 billion people still lacked safely managed drinking water, including 703 million without a basic water service in 2022, according to the United Nations. The current research examined the current state of water security of Burkina Faso which is one of the most vulnerable in the field of water security. The current study identifies a significant research gap in the field of sustainable water security by adopting a security-focused perspective, complementing the existing emphasis on water-related development. The present study shows that despite the numbers of water-related development projects—financed by the African Development Bank—Burkina Faso is the only country in West Africa where the proportion of the population with access to basic drinking water services has decreased (by 8%) between 2000 and 2022. Moreover, 40% of the country’s regions had fewer people with access to basic drinking water services. The research also found that Burkina Faso is the most affected by water-related conflicts in West and Central Africa where the regions of the country with the highest number of water-related conflicts are precisely those with the least access to drinking water and the least number of implemented water security projects. Thus, water security strategies must prioritize physical security, since armed conflict can easily reverse years of progress and investment.
Open Access: Yes
Sustainability reporting practices of Hungarian food subsectors from EU taxonomy perspectives
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
The importance and relevance of sustainability reporting by food companies is growing in the wake of green compliance, especially in EU Member States, where–in line with the EU Taxonomy–stricter legislation requires more accurate and transparent sustainability reporting. From 2014, the NFRD (Non-Financial Reporting Directive) legislation made non-financial reporting mandatory only for companies with at least 500 employees and of public interest, while the CSRD (Corporative Sustainability Reporting Directive) legislation, which came into force in 2023, made it mandatory for all companies. The aim of this paper is to examine how companies are prepared to comply with the new legislation. The sustainability reporting of food companies by subsector was analysed to identify differences and compare the quality of reporting with financial performance data. The study used a content analysis with a scoring method to assess the quality of sustainability reports from the point of view of EU Taxonomy produced by companies in 2020 and 2021. The proportions of critical financial performance data within subsectors were also examined. In 2020 and 2021, the companies analysed accounted for over 50% of the sector’s total net revenue, net profit, and foreign registered capital, highlighting significant financial concentration. The results show that the content and quality of sustainability reporting by food companies varies considerably between subsectors. The subsectors, dairy products manufacturing, processing, and preserving of fruit and vegetables scored the highest on sustainability objectives, particularly excelling in climate change mitigation and adaptation. The significance of the study lies in the fact that the methodology provides an opportunity to track and re-examine the future reporting practices of companies following the legislative changes.
Open Access: Yes
Health and well-being surveys in higher education: a scoping review
Publication Name: International Journal of Educational Research Open
Publication Date: 2025-12-01
Volume: 9
Issue: Unknown
Page Range: Unknown
Description:
Objective: Higher education institutions increasingly recognize student and staff well-being as critical to institutional success. This scoping review examines existing university health and well-being surveys to support the development of a standardized assessment framework for informed decision-making. Methods: The review follows PRISMA-ScR guidelines. The protocol was registered in the Open Science Framework. A total of 237 full-text articles were systematically reviewed and analyzed using a predefined structured framework. Results: The review identified and detailed the key features of existing surveys, including the topics covered, the measurement instruments employed, and other methodological characteristics. A classification system was developed to categorize questionnaires, and a hierarchical model was established to link relevant surveys to corresponding themes. Conclusions: To the best of our knowledge, this is the first scoping review of health and well-being surveys conducted among university members. The findings provide valuable insights for improving future survey designs and advancing comprehensive well-being assessments in higher education.
Open Access: Yes
Quantitative analysis of green investments in European automotive companies: a digital reporting analysis
Publication Name: Clean Technologies and Environmental Policy
Publication Date: 2025-12-01
Volume: 27
Issue: 12
Page Range: 8749-8761
Description:
Automotive companies are a major driver of the economy due to their high production volumes and extensive supply networks. However, the shift towards focusing on Environmental, Social, and Governance (ESG) aspects to comply with regulatory constraints and meet shareholder expectations presents significant challenges. This study addresses the need for transparency in green investments and their impact on CO2 emissions within the automotive sector. To achieve this, a sample of 22 listed European automotive companies were selected based on their digital financial reports (XBRL), as well as their annual sustainability reports. Key variables, including Scope 1, Scope 2, and Scope 3 emissions, were evaluated alongside three categories of corporate investments: tangible, intangible, and other long-term assets. A robust Analysis of Covariance (ANCOVA) model was employed to quantify the relationship between these investment activities and emissions. The results indicate a significant interaction effect on Scope 1 emissions, while the effects on Scope 2 emissions were not significant and Scope 3 emissions showed marginal results. These findings suggest that companies disclose green investments to mitigate reputational risks, offering insights into the relationship between financial and sustainability metrics in ESG reporting, while highlighting the importance of transparent reporting for achieving sustainability goals and enhancing comparability among companies.
Open Access: Yes
