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Found 6374 publications
Sustainable finance in action: A comprehensive framework for policy and practice integration
Publication Name: International Review of Economics and Finance
Publication Date: 2025-10-01
Volume: 103
Issue: Unknown
Page Range: Unknown
Description:
This study examines the current state of sustainable finance and proposes a strategic roadmap for its advancement in policy and practice, emphasizing the integration of sustainability principles into financial systems to address global environmental and social challenges. Using an integrative literature review of 684 scholarly articles—combining bibliometric analysis with manual review—the research identifies six critical themes and highlights major barriers such as regulatory ambiguity, lack of standardized metrics, and limited data availability. It offers targeted recommendations for policymakers, financial institutions, and stakeholders to overcome these challenges. The study provides a novel methodological contribution by merging bibliometric and qualitative insights, and outlines practical strategies to enhance regulatory frameworks, encourage innovation in sustainable finance, and promote emerging technologies like blockchain and artificial intelligence. Ultimately, it supports the integration of environmental, social, and governance (ESG) considerations into financial practices, fostering a more responsible and inclusive financial ecosystem.
Open Access: Yes
Control Deficits and Compensatory Mechanisms in Individuals with Chronic Ankle Instability During Dual-Task Stair-to-Ground Transition
Publication Name: Bioengineering
Publication Date: 2025-10-01
Volume: 12
Issue: 10
Page Range: Unknown
Description:
(1) Background: Chronic ankle instability (CAI), a common outcome of ankle sprains, involves recurrent sprains, balance deficits, and gait impairments linked to both peripheral and central neuromuscular dysfunction. Dual-task (DT) demands further aggravate postural control, especially during stair descent, a major source of fall-related injuries. Yet the biomechanical mechanisms of stair-to-ground transition in CAI under dual-task conditions remain poorly understood. (2) Methods: Sixty individuals with CAI and age- and sex-matched controls performed stair-to-ground transitions under single- and dual-task conditions. Spatiotemporal gait parameters, center of pressure (COP) metrics, ankle inversion angle, and relative joint work contributions (Ankle%, Knee%, Hip%) were obtained using 3D motion capture, a force plate, and musculoskeletal modeling. Correlation and regression analyses assessed the relationships between ankle contributions, postural stability, and proximal joint compensations. (3) Results: Compared with the controls, the CAI group demonstrated marked control deficits during the single task (ST), characterized by reduced gait speed, increased step width, elevated mediolateral COP root mean square (COP-ml RMS), and abnormal ankle inversion and joint kinematics; these impairments were exacerbated under DT conditions. Individuals with CAI exhibited a significantly reduced ankle plantarflexion moment and energy contribution (Ankle%), accompanied by compensatory increases in knee and hip contributions. Regression analyses indicated that Ankle% significantly predicted COP-ml RMS and gait speed (GS), highlighting the pivotal role of ankle function in maintaining dynamic stability. Furthermore, CAI participants adopted a “posture-first” strategy under DT, with concurrent deterioration in gait and cognitive performance, reflecting strong reliance on attentional resources. (4) Conclusions: CAI involves global control deficits, including distal insufficiency, proximal compensation, and an inefficient energy distribution, which intensify under dual-task conditions. As the ankle is central to lower-limb kinetics, its dysfunction induces widespread instability. Rehabilitation should therefore target coordinated lower-limb training and progressive dual-task integration to improve motor control and dynamic stability.
Open Access: Yes
Hijacked medical journals rank first via search engine optimization and threaten academic integrity
Publication Name: European Journal of Internal Medicine
Publication Date: 2025-10-01
Volume: 140
Issue: Unknown
Page Range: Unknown
Description:
The rise of questionable journals poses a significant threat to academic integrity, resulting in substantial waste of institutional and university resources. This commentary analysis focuses on six hijacked medical journals, a specific type of questionable publication. We utilized Semrush, an online Search Engine Optimization auditing platform, to analyse our data, which revealed that hijacked journals disseminate their content through search engines. Specifically, searches for certain medical keywords return hijacked medical journals’ content among the top 20 results. Evidence from both previous research and the current study suggests that hijacked journals leverage various channels for content dissemination, including artificial intelligence chatbots, citation databases, spam emails, and search engines. Raising awareness about this issue is crucial to mitigating the immediate harm caused by these journals. Furthermore, long-term solutions will necessitate advancements in technological development to combat this evolving problem effectively.
Open Access: Yes
Hierarchical Construction of Fuzzy Signature Models for Non-Destructive Assessment of Masonry Strength
Publication Name: Symmetry
Publication Date: 2025-10-01
Volume: 17
Issue: 10
Page Range: Unknown
Description:
Non-destructive testing methods are essential in civil engineering applications, such as evaluating the compressive strength of masonry. This paper presents a fuzzy signature model based on non-destructive in situ measurements and visual inspection, applying weighted geometric mean aggregation in the signature vertices determined by experts. The weights of the aggregation terms were optimized using the Monte Carlo method, genetic algorithm and particle swarm algorithm to ensure that the evaluation by the signature aligned with the results of destructive tests performed on existing masonry. The results of the methods were compared for single and multiple assembled masonry structures using the same objective function. All three methods provided relatively high confidence in finding the extreme values of the objective function on a generated dataset, which accounted for the correlations observed in actual measurements. Accordingly, validation based on real data yielded the expected results, thus demonstrating the model’s suitability for practical application. This study assessed the inherent, analyzing whether symmetric or asymmetric weight distributions affected evaluation consistency. While symmetric weighting simplified aggregation, asymmetry allowed local structural irregularities to be highlighted. In addition, the cost analysis of the optimization methods revealed a disparity in computational cost increments between the two approaches. The presented work outlines the advantages of the different methods and their applicability to structural assessment.
Open Access: Yes
DOI: 10.3390/sym17101764
Unveiling the Future of FinTech: Exploring the Behavioral Intentions Behind FinTech Adoption
Publication Name: Journal of Risk and Financial Management
Publication Date: 2025-10-01
Volume: 18
Issue: 10
Page Range: Unknown
Description:
In addition to the technological aspects of FinTech solutions, it is important to consider user willingness, particularly among the digitally savvy Generation Z. We conducted a survey in Hungary and Poland to gather information on young people’s use of FinTech applications and their attitudes towards FinTech services. In our research, we built on the already known technology adoption model (UTAUT) and combined it with an attitudinal study. To determine the factors that influence the propensity to use these services, we developed a hypothetical model and tested it with the results of the first round of the survey (n = 117). CB-SEM was used to investigate the relationship between attitudes, social influence, and intention to use behavior. The paper presents the significant relationship characteristics, model structure, and potential business applications of the results.
Open Access: Yes
DOI: 10.3390/jrfm18100546
Numerical algorithm of fourth-grade nanofluid flow with heat transfer consists of aluminum alloys over a riga plate
Publication Name: Journal of Thermal Analysis and Calorimetry
Publication Date: 2025-10-01
Volume: 150
Issue: 19
Page Range: 15723-15736
Description:
The MHD (magnetohydrodynamic) fourth-grade nanofluid flow consisting of aluminum alloys (Ti6 Al4 V) nanoparticles over a Riga plate is studied. The study of fourth-grade fluids (FGFs) improves the capacity to design systems and procedures for a variety of industries, ultimately promoting performance and the durability of the product. Ti6 Al4 V nanoparticles (NPs) are dissolved in water to prepare the nanofluid. The FGF flow has been analyzed under the impacts of Arrhenius activation energy, heat source/sink, and chemical reaction. The modeled equations (momentum, energy, and fluid concentration equations) are reformed into dimension-free form through similarity conversion. The transform set of ordinary differential equations (ODEs) is numerically solved by using the parametric continuation method (PCM). For accuracy of the results, the outcomes are compared to the published work. The error between the present results and the published study is -0.00028% at M = 5.0 (magnetic parameter), which ensures that the proposed methodology and model are accurate and reliable. From the graphic results, it has been noticed that the velocity field improves with the influence of fourth-grade fluid parameter, cross-viscous coefficient, and third-grade fluid parameter. The thermal profile of NF boosts with the variation in heat source parameters and the rising number of Ti6 Al4 V-NPs.
Open Access: Yes
Uncovering key factors in differentiating fermented milk by feeding type and probiotic potential with E-nose and NIRS techniques
Publication Name: Food Control
Publication Date: 2025-10-01
Volume: 176
Issue: Unknown
Page Range: Unknown
Description:
1: This study evaluates the capabilities of near-infrared spectroscopy (NIRS) and electronic nose (E-nose) in characterizing fermented milk, focusing on the impact of feeding type and probiotic potential. Three separate trials were conducted to compare the effects of Total Mixed Ration (TMR) cow feeds enriched with polyunsaturated fatty acids against control feeds. Milk samples, collected from the feeding trials, were fermented with three Lactobacillus strains categorized based on their probiotic potential: moderate (M), non-probiotic (N), and probiotic (P). The probiotic (P) strain exhibited distinct biochemical changes that were easily identifiable by both technologies. The NIRS and E-nose datasets were analysed separately to highlight the individual strengths and unique contributions of each technique in discriminating sample attributes. Specific NIRS wavelengths (1600–1800 nm), associated with unsaturated fatty acids like oleic and linoleic acids, acted as reliable markers for distinguishing milk samples based on the feeding type, while the 1300–1600 nm range helped differentiate strains. E-nose analysis identified volatile compounds such as hexanal and 1-hexen-3-one, formed from the oxidative degradation of unsaturated fatty acids, highlighting the impact of bacterial strains and milk composition on aroma and flavor. The fatty acid profile, particularly the unsaturated fatty acids and their derivatives, played a crucial role in strain and diet selection, offering valuable insights into the development of fermented milk products with specific probiotic characteristics.
Open Access: Yes
A bibliometric investigation of chatbot applications in business and management
Publication Name: Discover Applied Sciences
Publication Date: 2025-10-01
Volume: 7
Issue: 10
Page Range: Unknown
Description:
Chatbots have become a pivotal technology in business and management. Despite their growing adoption, existing research on chatbots is diverse and fragmented, lacking a cohesive overview of the field’s development and emerging trends. This study aims to answer the core research question: “What are the major research patterns, influential contributors, and emerging themes in chatbot-related literature within business and management between 2018 and 2024?” To address this, a structured four-step bibliometric methodology was applied to systematically collect, screen, and analyze relevant literature. A total of 331 peer-reviewed journal articles published between 2018 and 2024 were retrieved from the Web of Science database. Bibliometric and metadata analyses were conducted using CiteSpace software, including keyword co-occurrence, co-citation, and collaboration network visualizations. The findings show a steady rise in chatbot publications, with the highest output in 2023 (88 articles) and 2024 (85 articles). Prolific authors include Mou Jian, Lova Rajaobelina, and Xueming Luo, while top institutions are the University System of Ohio and the Indian Institute of Management. Core themes include AI, customer service, trust, and consumer experience, with emerging topics such as large language models and service quality. Influential cited works focus on anthropomorphism, technology acceptance, and generative AI. This study provides quantitative insights into the evolution of chatbot research, highlights key contributors and trends, and offers practical implications for improving chatbot design and adoption in business contexts.
Open Access: Yes
Extension of the Energetic Modeling of a Single-Stage Gear Unit to a Multi-Stage Constant Ratio Gear Unit †
Publication Name: Engineering Proceedings
Publication Date: 2025-10-01
Volume: 113
Issue: 1
Page Range: Unknown
Description:
The difficulty in designing gears to be installed in electric vehicles is caused by the fact that the efficiency of gears is generally treated as a constant value in the entire operating range, while these show significant differences in different operating ranges; therefore, it is necessary to examine the energy and efficiency of the gear, and to create a mathematical model, which can be optimally fitted into the vehicle’s drivetrain in terms of energy. I have performed this modeling in previous years for a single-stage gear unit. However, this model encounters physical limitations, since a larger gear ratio modification cannot be performed in one stage; the number of stages must be increased as the gear ratio increases. As the number of stages increases, the structure of the mathematical model changes, as changes to the gear unit must be incorporated into the model. In this article, an extension of the mathematical model of the gear unit is presented.
Open Access: Yes
