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Found 6383 publications
Relationship between the developed interfacial area ratio and the adhesion of the bonded joint
Publication Name: Journal of Advanced Joining Processes
Publication Date: 2025-06-01
Volume: 11
Issue: Unknown
Page Range: Unknown
Description:
Bonding technologies have evolved significantly over the past decades, playing a crucial role in the field of joining technologies. To date, however, there is no consensus among research groups as to whether surface texture or surface wettability, or both, affect the strength of bonded joints. Bonded joints, as a bonding technique, are highly dependent on the chemical composition of the adhesive or binder. It is also important to note that the strength and the quality of a bonded joint is greatly influenced by surface adhesion and its related phenomena. From a materials science perspective, surface adhesion is characterised by the level of surface wetting and the total surface energy. In addition, microtopographies and other geometrical features play a key role in bond formation. In this research, the goal is to create controlled microtopographies on DP600 steel surfaces, mainly using femtosecond pulsed laser surface treatment techniques. The ability of adhesives to fill microtopographies specifically, the extent and manner in which micro-scale geometries and structures are filled is also investigated. This allows for the establishment of correlations between the strength of adhesive bonds and the shape characteristics of the microtopography, both in the surface-activated and non-surface-activated states.
Open Access: Yes
The nexus of IoT and aquaculture: A bibliometric analysis
Publication Name: Applied Food Research
Publication Date: 2025-06-01
Volume: 5
Issue: 1
Page Range: Unknown
Description:
The Internet of Things (IoT) in aquaculture presents significant opportunities for improving the sector's productivity, sustainability, and resilience. This study aims to achieve two primary goals: to deliver an extensive overview of IoT applications in aquaculture and to pinpoint emerging trends and research gaps, thereby directing future academic endeavors in the aquaculture field. Through bibliometric analysis, which involved keyword co-occurrence and article co-citation network analyses, we investigated 428 publications from 2012 to 2024 retrieved from Scopus. The review indicates a significant rise in investigative efforts, especially in recent years, highlighting the sector's increasing focus on the role of IoT in tackling the distinct challenges aquaculture faces, including water quality monitoring, disease prevention, and resource efficiency. Prominent themes recognized encompass advanced aquaculture systems, water quality and health monitoring, and sophisticated forecasting tools. This investigation enhances the existing knowledge base by emphasizing key themes, significant studies, and essential technological advancements in IoT-enabled aquaculture, providing one of the initial bibliometric assessments in this swiftly developing field. Future research should focus on enhancing interoperability among IoT devices, improving data security and privacy, integrating artificial intelligence for predictive analytics, and expanding IoT applications to support small-scale and resource-constrained aquaculture operations.
Open Access: Yes
Performance comparison of polymer and fiber modified asphalt mixtures
Publication Name: Discover Applied Sciences
Publication Date: 2025-06-01
Volume: 7
Issue: 6
Page Range: Unknown
Description:
The performance of SBS-modified asphalt mixtures can be enhanced by incorporating various types of fibers offering a cost-effective alternative to increasing the SBS content. In this study, three different fibers, Basalt, Polyester, and Lignin fibers were added to a 3% SBS-modified bitumen binder, and their performance was compared to a 7% SBS mixture without fibers. Laboratory tests, including indirect tensile strength and dynamic shear rheometer tests, were used to evaluate the mixtures. The indirect tensile strength of all samples was assessed at loading rates ranging from 10 to 70 MPa/s, while stiffness moduli were tested at frequencies of 5 Hz, 3.5 Hz, 1.9 Hz, and 1.2 Hz. Finite element simulations using the Burger’s Logit model have been performed and microstrain analysis has been carried out to assess rutting and fatigue damage, complementing the experimental results. The findings demonstrated that fiber-modified mixtures exhibited superior performance, with increased tensile strength and complex shear modulus. Among the fiber types, Basalt fiber showed the best results, outperforming the others, while Polyester and Lignin fibers displayed nearly identical performance. The Basalt fiber mixture outperformed the SBS-7% mixture by 25% in rutting resistance and 28% in fatigue damage.
Open Access: Yes
Exploring entrepreneurial phases with machine learning models: Evidence from Hungary
Publication Name: Entrepreneurial Business and Economics Review
Publication Date: 2025-06-01
Volume: 13
Issue: 2
Page Range: 101-122
Description:
Objective: The article aims to explore the potential differences between the two phases of entrepreneurship, i.e., total early-stage entrepreneurial activity and established business, as defined by the Global Entrepreneurship Monitor (GEM). The study aimed to classify entrepreneurs using various machine learning models and to evaluate their classification performance comparatively. Research Design & Methods: Using the Hungarian GEM datasets from 2021 to 2023, we analysed a subsample of 964 entrepreneurs. Due to inconsistent results from traditional analyses (e.g., correlations, regressions, principal component analyses), we employed machine learning approaches (supervised learning classification methods) to uncover latent relationships between variables. Findings: The study utilized seven machine learning classification methods to examine the feasibility of grouping companies within the sample using Hungarian GEM data. Findings indicate that machine learning techniques are particularly effective for classifying businesses, although the performance of each method varies significantly. Implications & Recommendations: These results provide valuable insights for researchers in selecting methodologies to identify various business phases. Moreover, they offer practical benefits for market research professionals, suggesting that machine learning techniques can enhance the classification and understanding of entrepreneurial phases. Contribution & Value Added: The study adds to the existing body of knowledge by demonstrating the effectiveness of machine learning methods in classifying business phases. It highlights the variability in performance across different machine learning techniques, thereby guiding future research and practical applications in market research and entrepreneurship studies.
Open Access: Yes
Unveiling latent topics in the interplay of Circular Economy and Energy Transition: A Topic Modelling approach
Publication Name: Resources Conservation and Recycling
Publication Date: 2025-06-01
Volume: 219
Issue: Unknown
Page Range: Unknown
Description:
The Circular Economy (CE) and Energy Transition (ET) are crucial solutions for addressing global environmental challenges caused by linear economic models and fossil-based energy systems. Both approaches focus on enhancing energy and resource efficiency while minimizing environmental impacts. This Topic Modelling-based review identifies latent topics within the CE and ET academic literature, tackling the challenge of subjectivity found in traditional reviews. Using Latent Dirichlet Allocation (LDA), six topics are identified. Each topic sheds light on how crucial elements – such as economic and social sustainability, technological innovation, material management and electrification, waste management, local development, and regulatory policies – are interconnected with CE and ET. Together, these elements contribute to a more cohesive and effective transition. The study emphasizes the need for coordinated strategies and targeted policies to ensure that CE and ET not only coexist but also complement and strengthen each other. This holistic approach is vital for fostering a sustainable future that balances economic growth with environmental conservation.
Open Access: Yes
Microalgae–bacteria interaction: a catalyst to improve maize (Zea mays L.) growth and soil fertility
Publication Name: Cereal Research Communications
Publication Date: 2025-06-01
Volume: 53
Issue: 2
Page Range: 1037-1049
Description:
Biofertilisers harbouring living organisms hold allure due to their prospective favourable influence on plant growth, coupled with a diminished environmental footprint and cost-effectiveness in contrast to conventional mineral fertilisers. The purpose of the present study was to evaluate the capacity of a specific microalga (MACC-612, Nostoc linckia) biomass and plant growth-promoting bacteria (PGPB) separately and together to improve crop growth and promote soil health. The research used a factorial design within a completely randomised block framework, featuring four replications for three consecutive years across different fields. The experiment utilised three levels of microalga (control, 0.3 g/L of N. linckia, MACC-612, and 1 g/L of N. linckia, MACC-612) and three levels of bacterial strains (control, Azospirillum lipoferum and Pseudomonas fluorescens). The result demonstrated that the use of N. linckia and PGPB separately or jointly as soil treatment resulted in a substantial improvement in chlorophyll, plant biomass, soil humus, and nitrogen, depending on the environmental conditions of the years. The combined use of N. linckia and PGPB results in an improvement in dry leaf weight by 35.6–107.3% at 50 days after sowing (DAS) and 29.6–49.8% at 65 DAS, compared to the control group. Furthermore, the studies show that the synergistic application of N. linckia at 0.3 g/L, in conjunction with A. lipoferum, significantly improved total nitrogen and (NO3 − + NO2 −)-nitrogen, registering increases of 20.7–40% and 27.1–59.2%, respectively, during the study period. The most effective synergistic combination was identified through the application of 0.3 g/L of N. linckia along with A. lipoferum. Hence, application of biofertilisers through synergistic combinations of two or more microorganisms, such as microalgae and bacteria, holds promise in improving crop chlorophyll, growth, and soil nitrogen.
Open Access: Yes
Driving Social Entrepreneurship Among Students: Investigating Through PLS-SEM and fsQCA Approaches in Emerging Economies
Publication Name: Emerging Science Journal
Publication Date: 2025-06-01
Volume: 9
Issue: 3
Page Range: 1591-1609
Description:
This study aims to identify the relationship between social self-efficacy, social innovation, resilience, and proactive personality concerning university students’ behavioral intention to engage in social entrepreneurship, particularly in emerging economies, like Bangladesh. A structured questionnaire was utilized to collect quantitative data from 540 students in various disciplines of study as part of the study's quantitative research methodology using partial least squares-Structural Equation Modelling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The analysis reveals that proactive personality traits are associated with the social entrepreneurship intention (SEI) and that leadership orientation is also significant to SEI. The study also demonstrates that social entrepreneurial activities tend toward higher social self-efficacy and resilience, making it crucial to focus on such characteristics while facing social risk and bearing innovations. This study's novelty lies in its focus on the unique combination of psychological traits—social self-efficacy, social innovation, resilience, and proactive personality—and their impact on university students' intention to engage in social entrepreneurship in emerging economies. Additionally, the research emphasizes the importance of integrating leadership skills and social innovation into academic curricula and policy development to foster social entrepreneurship. Practical implications indicate that leadership skills and social innovation should be included in the curricula of educational institutions, and supportive policies should be developed to create available resources for prospective social entrepreneurs.
Open Access: Yes
A structured framework for HBIM standardization: Integrating scan-to-BIM methodologies and heritage conservation standards
Publication Name: Digital Applications in Archaeology and Cultural Heritage
Publication Date: 2025-06-01
Volume: 37
Issue: Unknown
Page Range: Unknown
Description:
Heritage conservation demands innovative approaches that integrate advanced technologies with traditional principles to protect monuments and historic buildings. This research investigates the potential of Building Information Modeling (BIM) in heritage conservation, with a focus on developing and adapting workflows tailored to Heritage Building Information Modeling (HBIM). Through a systematic analysis of literature, the research highlights the adaptation of scan-to-BIM methodologies for HBIM creation and their significant role in enhancing preservation efforts. Key technologies, including laser scanning, photogrammetry, and machine learning, are discussed for their contributions to generate accurate and information-rich digital models of heritage structures. Furthermore, this work discovers critical specifications and proposes a structured framework for balancing these specifications within HBIM workflows. This framework addresses challenges such as standardization, scalability, and adaptability, which are essential for accurately capturing the complexity of heritage buildings. By examining these issues, the study identifies opportunities to improve HBIM's capability to monitor, document, and manage culturally significant assets. The findings provide a comprehensive understanding of HBIM processes and their potential to support the effective conservation of heritage.
Open Access: Yes
A novel method for structural strength modeling of lamination stacks of electric motors using contact in FEA
Publication Name: Results in Engineering
Publication Date: 2025-06-01
Volume: 26
Issue: Unknown
Page Range: Unknown
Description:
The automotive industry is transforming from traditional internal combustion drive systems to alternative ones, mostly based on electric motors. Fueled by strict requirements and high competition on the market, simulation has become an essential part of the development process. The precise structural strength simulation of rotors is extremely difficult, as a consequence of the nonlinear mechanical behavior of the lamination stack. Due to computational limits, this part has traditionally been simulated as a solid structure with orthotropic linear material models. These models were not capable of accurately simulating the axial nonlinear stiffness, the separation / slip of individual sheets or their plastic deformations. The method presented in this article does not have these limitations. By using a stacked shell approach, simulating all of the sheets separately using a contact model developed especially for this purpose, the method can be used to model real rotors using a fair amount of computational resources. The new method contributes significantly to the precision of virtual tests of rotors used in electric drives.
Open Access: Yes
