Online-Journals.org (International Association of Online Engineering)
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Does the Capital Structure Affect the Digital Transformation of Enterprises? Mediating Role Based on Financing Costs
Get PDFWith the rapid advancement of the digital economy, enterprises are increasingly leveraging digital transformation as a key driver of high-quality development. Despite its strategic importance, systematic research on how capital structure influences digital transformation remains limited. Drawing on data from listed companies in A-share manufacturing industries from 2009 to 2021, this study employs empirical analysis to explore the impact of asset-liability ratios on digital transformation. Findings indicate that a higher asset-liability ratio significantly accelerates the digital transformation process in manufacturing enterprises. Under debt financing pressure, firms tend to enhance production efficiency and reduce operational costs through digital technologies, thereby strengthening competitiveness and solvency. Moreover, financing costs play a crucial mediating role in the relationship between asset-liability ratios and enterprise digitization. A higher debt burden compels businesses to seek digital solutions for improving efficiency and profitability, mitigating financial risks in the process. This study not only deepens the understanding of key factors influencing digital transformation but also provides empirical support for optimizing corporate capital structures and shaping digital development strategies
Carbon Equality Could Play a Positive Role in Mitigating the Climate Crisis
Get PDFHumans needs to solve the urgent problem of analyzing the severe climate crisis and studying its profound impacts on the Earth. This paper introduces the concept of “carbon equality.” By detailing the concept, manifestations, and hazards of the climate crisis, as well as explaining the connotation and practical advantages of carbon equality, and combining this with real-life cases, it demonstrates the crucial role that carbon equality could play as a core solution in responding to the climate crisis. Based on the research results, this paper puts forward practical solutions to provide new ideas for global sustainable development
Art Education in the Era of Artificial Intelligence: Advancing the Elimination of Technological Anxiety
Get PDFThis study focused on the phenomenon of technological anxiety in the contemporary art world within the context of artificial intelligence (AI) technology. By analyzing cases of anti-AI movements initiated by artists on platforms such as ArtStation and GitHub, this study identified the key issues that arise in the art world under the influence of technological anxiety. A dialectical analysis of two central issues—intellectual property and occupational substitution—was conducted from four perspectives: technology, legal principles, user perspectives, and historical context. Furthermore, the study discussed core artistic values and compliance anxiety, particularly as they relate to the concerns of art students. Qualitative research methods, including content analysis and case studies, were employed. The study uncovered the underlying reasons for technological anxiety in the art world, critiqued the irrational aspects of the anti-AI movement, and offered solutions to alleviate technological anxiety. Additionally, it provided recommendations for the career development of practitioners. The study also highlighted the importance of core artistic values, the elimination of compliance anxiety, and the improvement of teachers’ proficiency in AI as key areas for enhancing student education
Integrating EEG Analysis into Game-Based Learning: A Pilot Study on Memory Encoding and Learner Perceptions in Digital Educational Escape Games
Get PDFIn the game-based learning (GBL) literature, it is widely accepted that digital educational escape games (DEEG) contribute to increased academic performance, improved motivation, and increase in learner engagement. However, while these results are empirically well documented, there is a lack of insights into the cognitive and neural processes behind the reported results. This pilot study attempts to address this issue through an interdisciplinary research design. It includes both GBL and educational neuroscience (EN) to understand which mental processes are involved when interacting with a DEEG. The study engaged 23 adults, divided into three experimental groups. During their interactions in the different experimental conditions, changes in their brain waves were recorded via the use of an electroencephalogram (EEG). Specific attention was given to the neural markers of memory encoding/retrieval (hippocampal theta waves) as well as concentration (low beta waves) and the participants’ perceived usefulness of the activity (frontal alpha wave asymmetry). The study showed a significant increase in memory encoding/retrieval among the participants interacting with the DEEG. This increase was found to be linked to the participants’ perceived usefulness of the activity
The Cyber Kill Chain Methodology as a Business Defense Tool: A Systematic Review of Its Application and Efficacy
Get PDFThis study focuses on analyzing the detection and defense of cyber-attacks on companies, emphasizing the Cyber Kill Chain (CKC) model. Examining specialized articles reveals the widespread recognition and application of this structured methodology in cybersecurity. The model proves valuable for identifying and mitigating attack stages, facilitating early detection and a more effective response to security incidents. Results indicate its notable effectiveness in scrutinizing cyber attackers’ strategies throughout the attack process, with variations based on organizational size and industry. Adapting the model to specific contexts is crucial. Despite positive findings, limitations include restricted access to academic literature and potential biases in paper selection. The study recommends organizations integrate the CKC model into their cybersecurity strategies, advocating collaboration among experts, researchers, and professionals. This collaborative effort aims to address identified limitations, enhance understanding, and expand knowledge about the model’s effectiveness and adaptation to diverse environments. Overcoming these challenges will strengthen the application of the CKC model in combating cyber threats, ultimately providing enhanced protection for the information and systems of companies and entities in today’s digital landscape
Advanced Model for Predicting Weather Conditions for Smart Grape Cultivation: A Comparative Study between Kosovo and Iowa
Get PDFSmart agriculture, powered by data and advanced technologies, is transforming traditional farming practices. Given the sensitivity of grapevine cultivation to climate variability, accurate weather prediction is essential for optimizing yield and quality. This study introduces a predictive model designed to enhance smart grape cultivation through a comparative analysis between Kosovo and Iowa. The model forecasts weather conditions and determines optimal timing for grape spraying, using historical weather data and advanced forecasting techniques. Four algorithms—NeuralProphet, SARIMA (Seasonal AutoRegressive Integrated Moving Average), Random Forest Regression, and a Keras-based Artificial Neural Network (ANN)—are evaluated. The accuracy and performance of the model are evaluated using metrics like mean absolute error (MAE), root mean square error (RMSE), and mean squared error (MSE). By providing timely, data-driven insights for protective treatments, the study aims to improve cultivation efficiency, maximize yield quality, and minimize losses. The comparative approach also highlights regional climatic differences, offering tailored strategies for effective grape management
The Application of a Mobile Learning-Based Interactive Education Platform for the Creation of Animation in University Settings
Get PDFAnimation creation, as an interdisciplinary subject that blends art and technology, places high demands on students’ creativity, comprehensive skills, and practical capabilities. Traditional teaching models often fall short in meeting students’ needs for personalized learning and real-time interaction, highlighting the urgent need for innovation through mobile learning platforms. Although some existing studies have attempted to introduce personalized recommendation mechanisms into educational platforms, their application in animation education remains limited, characterized by simplistic models and insufficient exploration of interactive behaviors. In particular, leveraging learners’ implicit mobile interaction relationships for resource recommendation is still in its early stages. This study focuses on the design and implementation of a mobile learning-based interactive education platform tailored for university-level animation creation, aiming to enhance the precision of resource recommendations and the personalization of learning experiences. The research addresses two main aspects: first, it systematically explores the issue of personalized animation learning resource recommendation based on implicit interaction relationships, highlighting their potential value in recommendation mechanisms; second, it proposes a recommendation model integrating coupled graph modeling, attribute representation learning, interaction representation learning, and a prediction layer, offering a technical framework for intelligent recommendation in animation education. The findings are expected to promote deeper integration of mobile learning platforms in university animation education and enhance the effectiveness of personalized teaching
Enhancing Students’ Self-Regulation and Autonomous Learning in Higher Education through Interactive Mobile Technologies
Get PDFWith the rapid advancement of information technology, the application of interactive mobile technologies in higher education has garnered increasing attention, particularly for their potential in enhancing students’ self-regulation and autonomous learning capabilities. Traditional instructional models often rely on fixed classroom settings and predetermined teaching schedules, making it difficult to adapt to individual differences and diverse learning needs. In contrast, interactive mobile technologies offer personalized learning resources and real-time feedback, thereby improving the flexibility and efficiency of self-directed learning. As a result, exploring how to leverage these technologies to foster students’ self-regulation and autonomy has become a critical issue in the field of educational technology. Existing studies primarily focus on the cultivation of autonomous learning and self-regulation, as well as the design of personalized learning path recommendation systems. However, many of these systems are based on static data and fail to adapt in real time to the dynamic changes in students’ learning behaviors, limiting their practical effectiveness in educational settings. Therefore, a pressing challenge is to develop a system that can dynamically adjust learning paths in response to changes in student behavior and learning needs. This study proposes a dynamic personalized learning path recommendation model based on latent association information and dynamic graph neural networks. By conducting real-time analysis of student learning behaviors and continuously updating the model, the system aims to construct more intelligent and individualized learning paths. This, in turn, enhances students’ self-regulation and autonomous learning abilities. The findings provide new technological support for teaching practices in higher education and offer theoretical and methodological contributions to the advancement of personalized education
Digital Integration of Traditional Craft Motifs in Mobile AR/VR Interactive Art Creation
Get PDFWith the rapid advancement of digital technology and mobile augmented reality (AR) or virtual reality (VR), the digital integration of traditional craft motifs into contemporary art has emerged as a significant research focus. Traditional craft motifs embody profound cultural heritage and artistic value, and their distinctive visual characteristics offer substantial potential for digital artistic expression. The immersive and interactive affordances of mobile AR/VR technologies provide a novel paradigm for artistic creation. The effective integration of traditional craft motifs into mobile AR/VR interactive art is a critical pathway for both cultural heritage preservation and the advancement of contemporary artistic expression. However, existing style transfer algorithms and techniques remain constrained by limitations in content feature preservation, stylistic fidelity, and expressive capacity in interactive art contexts. To address these challenges, a novel diffusion model-based style transfer algorithm tailored for mobile AR/VR interactive art was proposed, enabling the effective extraction and transfer of visual features from traditional craft motifs. This approach emphasizes the preservation of cultural and artistic integrity throughout the style transfer process. Furthermore, an inversion-based feature condition acquisition method was introduced, alongside a two-stage inversion strategy designed to retain essential content features, thereby overcoming prevalent issues such as content loss and insufficient style transfer effect. These innovations not only significantly enhance both the visual quality and expressive power of traditional motifs within mobile AR/VR environments but also contribute to the convergence of digital art and cultural preservation, offering new pathways for inspiration and technique in contemporary interactive art creation
Gamified Mobile Learning Strategies in Corporate Training: A Review of Benefits and Risks
Get PDFThe increasing emphasis on employee engagement, productivity, and skill development by contemporary businesses makes gamification an innovative solution for training programs. This review adds to existing knowledge about using gamification and mobile learning and recommends effective strategies to help organizations improve their training approaches. The research design employs a qualitative study using thematic analysis and explores the growing use of gamification. Employing a comprehensive approach, the research adopts a critical lens and identifies potential risks that can lead to over-competition, stress, and employee misalignment. The analysis will identify key themes and patterns to draw a co-occurrence map and create a deep understanding of related keywords. When strategizing corporate training to suit current industry needs, findings are significant for employers, organizations, and researchers. Researchers will get a detailed direction that can help pursue further research into different dimensions of gamification and mobile learning. This review suggests further case-based studies to identify and implement appropriate action