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Found 6342 publications
A review of hydrogen energy in renewable energy supply chain finance
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
Energy supply chain participants recognise the benefits of hydrogen energy in accelerating the energy transition and meeting the global energy demand. However, concerns remain regarding the financial viability of hydrogen energy supply chain operations. The construct of supply chain finance (SCF) in renewable energy networks has received significant attention as stakeholders perceive its benefits in improving liquidity, financial performance, and competitiveness. Despite the increasing volume of SCF-related studies on renewable energy networks, there is a dearth of articles that extensively review extant literature to identify SCF capabilities suitable for hydrogen energy networks, propose a comprehensive framework of hydrogen energy-SCF, and provide actionable insights into future research directions. This study addresses this limitation by conducting a state-of-the-art systematic literature review (SLR) of 75 candidate articles, which were analysed using template analysis to uncover the existing research trends and distil key hydrogen energy-SCF themes. The study uniquely develops a holistic framework of hydrogen energy-SCF, addressing key drivers including environmental sustainability, financial considerations, policies, technologies, and SCF initiatives. Moreover, this study offers fresh perspectives on SCF initiatives specific to hydrogen energy networks, emphasizing their importance for energy security and sustainability. Importantly, gaps in the literature are identified, upon which future research opportunities are proposed. The findings position hydrogen energy-SCF not only as a game-changer for the transition of global energy systems but also provide both practical and theoretical insights for academics and industry stakeholders.
Open Access: Yes
Relationship Between Age at First Calving and 305-Day Milk Yield in Hungarian Holstein-Friesian Cows: Trends and Genetic Parameters
Publication Name: Animals
Publication Date: 2025-12-01
Volume: 15
Issue: 24
Page Range: Unknown
Description:
Age at first calving (AFC) and 305-day milk yield in the first lactation (MY) data of 18,545 Holstein-Friesian cows born between 2008 and 2018 in six herds were evaluated. The effects of some genetic and environmental factors, population genetic parameters, breeding value (BV), and phenotypic and genetic trends of AFC and MY traits were estimated. The GLM method (ANOVA Type III) and BLUP animal model were used for the estimations. One-way linear regression analysis was used for trend calculations. The adjusted overall mean value (±SE) of the AFC and MY traits was 25.19 ± 0.02 months and 10,287.14 ± 24.79 kg, respectively. The percentage proportion contribution of the different factors in the phenotype in the case of AFC was as follows: herd 94.41%, birth year of cow 3.26%, birth season of cow 1.39%, and sire 0.71%. For MY, the contribution was as follows: herd 89.17%, birth season of cow 5.38%, birth year of cow 4.09%, and sire 1.05%. The heritability of AFC and MY traits by two different models proved to be moderate (0.26 ± 0.02, 0.19 ± 0.01 and 0.30 ± 0.02, 0.34 ± 0.01, respectively). There were relatively small differences between the sires in the estimated BV for the traits AFC and MY. The phenotypic and genetic correlations between AFC and MY traits were weak (between −0.05 and −0.16). Based on the phenotypic trend calculation, AFC showed a decreasing direction (−0.12 months per year) and MY an increasing direction (+42.30 kg per year). However, the genetic trend was very slightly decreasing for AFC (−0.00 and −0.05 months per year) and slightly increasing for MY (+5.52 and +16.49 kg per year) over the period studied.
Open Access: Yes
DOI: 10.3390/ani15243648
Innovative configurations for organizational resilience: Bridging the proactive and reactive capability in volatile environments
Publication Name: Sustainable Futures
Publication Date: 2025-12-01
Volume: 10
Issue: Unknown
Page Range: Unknown
Description:
A growing concern among academics and professionals has placed organizational resilience (OR) at the leading edge of their studies' catalysts because of its peripheral vulnerability to turbulent environments in organizational settings. This research demonstrates the value of competitive advantage and the practices of resilient firms, thereby strengthening organizational resilience in a disruptive environment. Organizational resilience has been established as a process for gaining a competitive edge and enhancing firms' performance in a volatile environment where disruptions, such as epidemics, political turmoil, and economic instability, threaten the sustainability of their operations. Adopting the Dynamic Capability View (DCV), this study investigates proactive (PRO) and reactive (REA) capability configurations in relation to organizational resilience through partial least squares structural equation modeling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). The study develops the measurement items for organizational resilience to test the proposed hypotheses using PLS-SEM and fsQCA. PLS-SEM finds that flexibility, collaboration, response, and recovery are positive drivers for organizational resilience, whereas fsQCA reveals that flexibility, response, and recovery are sufficient for the same outcome. The combined results indicate that flexibility, responsiveness, and recovery are key conditions for predicting high organizational resilience in a disruptive environment. The combined findings confirm that the measurement items of proactive and reactive performance significantly better align with organizational resilience and meet the "capability" and "resources" suitable criteria of DCV. The combined findings of this research make both theoretical and practical contributions to the foundation of pre-disruptive and post-disruptive resilience.
Open Access: Yes
An Analytically Derived Gauss–Legendre Quadrature for Axis-Aligned Ellipse–Ellipse Intersection
Publication Name: Mathematics
Publication Date: 2025-12-01
Volume: 13
Issue: 23
Page Range: Unknown
Description:
Accurate and efficient evaluation of the intersection area between two axis-aligned ellipses is essential in applications where the coordinate system or underlying geometry naturally imposes alignment. However, most existing numerical integration techniques are designed for arbitrarily oriented ellipses, and their generality typically requires adaptive refinement or solving higher-degree algebraic intersection formulations, leading to greater computational cost than necessary in the axis-aligned case. This study introduces two analytically derived, fixed-cost Gauss–Legendre quadrature formulations for computing the intersection area in the axis-aligned configuration. The first is a sine-mapped Gauss–Legendre quadrature, which applies a trigonometric transformation to improve conditioning near endpoint singularities while retaining constant-time evaluation. The second is an enhanced two-panel affine-normalized formulation, which splits the intersection domain into two sub-intervals to increase local accuracy while maintaining a fixed computational cost. Both methods are benchmarked against adaptive Simpson integration, polygonal discretization, and Monte Carlo sampling over 10,000 randomly generated ellipse pairs. The two-panel formulation achieves a mean relative error of 0.003% with runtimes more than twenty times faster than the adaptive reference and remains consistently more efficient than the polygonal and Monte Carlo approaches while exhibiting comparable or superior numerical behavior across all tested regimes.
Open Access: Yes
DOI: 10.3390/math13233814
Multi-Attribute Decision-Making Technique using Bipolar Linear Diophantine Fuzzy Hypersoft Set
Publication Name: Journal of Fuzzy Extension and Applications
Publication Date: 2025-12-01
Volume: 6
Issue: 4
Page Range: 727-748
Description:
The state of bipolarity plays a major role in any circumstance due to the involvement of fors and againsts for each condition. This research enhances some rudimentary operations, propositions, and valuable theorems based on the recently developed aspect called the bipolar linear diophantine fuzzy hypersoft set. The choice of the individual without restriction enhances the technique. In addition, all its crumbles are curtailed with more flexibility. Railways are easily accessible for all classes of people and require a guarded journey. Currently, rail accidents are a major controversy all over the world as they kill many and injure riskily. For this reason, an algorithm is expanded to elect an effective crash-evasive rail carriage equipped with ultrasonic sensors to detect the range of the hindrance and brake controls. The study aims to gain additional insight and solve the critical issue of railway safety, particularly regarding recent incidents that have placed passengers at risk worldwide. The initiative aims to develop a highly effective crash-evasive rail carriage system by extending the capabilities of existing algorithms. This technology aims to minimize the incidence of rail accidents by selecting an ideal system based on the sensing range of sensor and brake control mechanisms. The study further distinguishes its innovations to set theoretic operations within the framework plays a vital role in strengthening procedures for making choices and guaranteeing the accuracy of the proposed solution. The recommended strategy not only confronts current safety concerns but also sets the foundation for future technological evolution in the railway sector.
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
Cultural Differences and the Application of Diplomatic Protocol in the Central and Eastern European Region
Publication Name: European Journal of Interdisciplinary Studies
Publication Date: 2025-12-01
Volume: 17
Issue: 2
Page Range: 145-160
Description:
The success of diplomatic relations is closely linked to the understanding of cultural differences and the proper application of diplomatic protocol. In the countries of the Central and Eastern European region, the diverse historical experiences, collective memories, and socio-cultural characteristics significantly shape both formal and informal diplomatic behavior. This paper examines how cultural differences influence the application of diplomatic protocols in the region, with a particular focus on the role of cultural sensitivity in diplomatic interactions. Adopting a qualitative, multiple case study approach, the research analyzes contemporary diplomatic incidents in which culturally embedded symbols, gestures, dress codes, and gift-giving practices led to protocol unconventionalities or failures. The findings demonstrate that a lack of cultural sensitivity may result in misunderstandings, public embarrassment or diplomatic tension, while culturally informed protocol practices can contribute to strengthening bilateral and multilateral relations. By integrating cultural sensitivity theory with the analysis of diplomatic protocol and providing empirical evidence from Central and Eastern Europe, the paper contributes to the literature by offering a region-specific and practice-oriented perspective on diplomacy. The paper highlights how seemingly minor protocol deviations can carry significant symbolic and political meanings in culturally sensitive contexts, thereby influencing the elusiveness of international relations.
Open Access: Yes
Dictionary-based assessment of European Sustainability Reporting Standard (ESRS) disclosure topics
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
As the imperative for sustainable business practices and corporate responsibility has grown, the analysis and integration of Environmental, Social, and Governance (ESG) issues into corporate strategies has become a crucial aspect of business strategy. The paper assesses the ESG reporting preparedness of companies in the Central and Eastern European (CEE) region by analyzing their compliance with the European Sustainability Reporting Standards (ESRS). The study assesses the variability in disclosures across ESG pillars and examines their relationship with financial metrics using a test of independence and bootstrapped multiple regression. By employing an automated text analysis methodology on sustainability reports from top-performing companies, including Hungary, the Czech Republic, Poland, Austria, Slovenia, and Romania, the research identifies significant differences in reporting scores across various ESG disclosure topics. The results indicate that Climate Change (E1) scores are higher than those of other topics, suggesting an uneven emphasis on different aspects of sustainability. Furthermore, the analysis reveals that larger companies tend to achieve higher ESG scores, reflecting their greater resources for comprehensive and transparent reporting practices. The research contributes to the understanding of ESG reporting practices in the CEE region and highlights the importance of improvement in sustainability reporting to foster greater transparency and comparability. The findings suggest policy initiatives to encourage balanced reporting across all ESG topics and that companies, particularly smaller ones, could benefit from capacity-building efforts to enhance their reporting capabilities.
Open Access: Yes
The potential of the P-graph for optimizing public service processes
Publication Name: Clean Technologies and Environmental Policy
Publication Date: 2025-12-01
Volume: 27
Issue: 12
Page Range: 8461-8473
Description:
The European Union set out several directives and standards for governments and local authorities on environmental policy issues in the planning and management of public services. Public service provisioning is subject to both traditional expectations (such as customer-friendliness and efficiency) and new environmental stewardship and sustainability expectations. This paper analyzes public service processes, particularly the university enrolment process. Our analysis used public service models (Service Blueprinting, Business Process Modeling, Process Chain Network) and a mathematical model (P-graph). Our research aims to analyze the university enrolment process and its efficiency, considering sustainability aspects and expectations and identifying the points that can be modified and improved to make it more efficient, sustainable, qualitatively positive, and economical. According to our research, school administrators are overburdened during the enrolment process, often resulting in overtime work and a high turnover ratio. Our results clearly show the high inefficiency of this administrative process, as administrators can only partially meet their expected labor targets during their regular working hours. We found that the university enrolment process can be improved and made more efficient and sustainable. Using the P-graph, we have found the process’s optimal path and resource requirements in a way that was not feasible with previous models. Heartened by these results, we propose introducing and applying the P-graph as a new model to study other public service processes.
Open Access: Yes
