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Real-Time Collaborative Control of 6G-Enabled Edge Computing in the Intelligent Manufacturing of New Energy Vehicles
Get PDFWith the rapid development of the new energy vehicle industry, intelligent manufacturing has become the key to improving the competitiveness of the industry. 6G technology, with its excellent performance, such as ultra-high speed, ultra-low latency and ultra-large number of connections, has brought new opportunities for the application of edge computing in the intelligent manufacturing of new energy vehicles. This paper deeply studies the real-time collaborative control of edge computing enabled by 6G in the intelligent manufacturing of new energy vehicles, expounds the relevant technical background and advantages, analyzes the real-time collaborative control architecture and key technologies, and discusses the application effect in combination with actual cases, and looks forward to future development trends. The study shows that the integration of 6G and edge computing can significantly improve the real-time, collaborative and intelligent level of intelligent manufacturing of new energy vehicles, providing strong support for industrial development
Study on the Influence Mechanism of Digital Intellectualization on Accrual Surplus Management in Enterprises with Different Ownership Properties
Get PDFFor a long time, information asymmetry has become a deep-rooted problem in modern enterprise management. It not only distorts market behavior, but also harms the value of the enterprise itself. With the rapid development of digital technology, enterprises have unprecedented opportunities to change financial information processing and disclosure, and digital technology such as big data and artificial intelligence is expected to alleviate the information asymmetry problem. In this study, we focus on the impact of digital intelligence on accruals management in firms with different ownership properties, and conduct an empirical analysis using panel data of Chinese A-share listed firms from 2012 to 2022. It is found that, firstly, Numerical Intelligence significantly inhibits firms' surplus management; secondly, with the addition of the moderating variable of property rights nature, Numerical Intelligence has a more significant inhibitory effect on firms' incentives to manage surplus; thirdly, heterogeneity analyses conclude that Numerical Intelligence's inhibitory effect on firms' surplus management is more pronounced in non-state-owned firms. Based on this, this study suggests that in order to further alleviate the problem of corporate information asymmetry, it is necessary to further deepen the level of enterprise's own Numerical Intelligence, improve the supervision of Numerical Intelligence, construct differentiated regulatory policies, and safeguard the rights and interests of the relevant stakeholders of the enterprise, so as to further optimize the synergistic development of corporate governance
Research on Corporate Financial Strategy Transformation and Risk Management under the Reconstruction of Global Value Chain
Get PDFIn the context of the accelerated restructuring of the global value chain (GVC), enterprises are facing the triple impact of geographical reallocation, technology chain disconnection, and carbon tariff. Based on the panel data of 52 enterprises from 2013 to 2022, this paper constructs a theoretical model of "Value Chain Potential-Financial Strategy-Risk Immunity" (GVC-FSM), and uses the simultaneous equation model (3SLS) and machine learning causal forest method to conduct an empirical test. The results show that every 0.1 unit increase in the upstream degree of value chain upgrading can reduce the financing cost by 1.8%;The probability of cash flow disruption in digital financial transformation enterprises decreased by 34% during the epidemic; ESG risk premiums in carbon-intensive industries amounted to a 12.7% difference in the cost of capital. Accordingly, a three-dimensional financial strategic framework of "strategic resilience-digital twin-ecological governance" is proposed to provide a systematic solution for enterprises to reconstruct their financial competitiveness in a multipolar world
How do We Conduct Teaching at Universities in the Future? A Study Illustrating How, Where, and Why Teachers and Students Disagree About Hybrid Teaching Formats
Get PDFThis empirical study investigates students’ and teachers’ preferences and experiences with hybrid teaching formats at the university level. In the presented teaching format, students and teachers attend sessions either on campus or online. Some students always participated from campus, others changed between campus and being online. The research shows surprising insights: students and teachers clearly disagreed about the experienced usefulness of the hybrid teaching formats, and whether to use hybrid teaching formats in the future. Out of 849 respondents, app. 80% of teachers prefer to teach at campus, app. 80% of students want the hybrid solution, despite the technical and pedagogical issues encountered. Findings show a need for the development of hybrid pedagogies and didactics preparing teachers for teaching in hybrid teaching formats and point to the need for a more general discussion about how universities and society at large want to conduct teaching in higher education in the future
Research on the Construction of Project-Based Curriculum System for Applied Undergraduate Education under the Background of Industry-Education Integration
Get PDFWith the transformation and upgrading of China's economic structure, the demand for high-quality applied talents in society is becoming increasingly urgent. However, the traditional undergraduate education model is difficult to meet the needs of the industry, and the reform of education and teaching is urgent. Taking Guangdong University of Technology as an example, this paper focuses on the construction of project-based curriculum system for applied undergraduate education under the background of industry-education integration, systematically analyzes the existing problems of the current curriculum system, and proposes a curriculum reform plan oriented by market demand, based on work process logic and students' cognitive laws. The research aims to improve students' practical and innovative abilities and promote the transformation of education and teaching models through theoretical construction, school-enterprise cooperation, resource matching and evaluation system optimization. The results show that the construction of project-based curriculum system can effectively promote the organic connection of education chain, talent chain and industry chain, and provide reference for the reform of applied undergraduate colleges
Evolution and Future Trend of Film Adaptation Art Under the Background of Digital Media
Get PDFThe study of film adaptation has become an important branch of film theory, but as an independent discipline, it lacks a complete historical review. This paper attempts to explore the development context and transformation reasons of film adaptation theory, and explore the future trend under the background of digital media. The study of literary film adaptation can be divided into six periods and three stages. The first stage is the embryonic stage. Influenced by the independent appeal of film art, theorists reveal the uniqueness of film media by comparing it with other arts, laying the foundation for adaptation research. The second stage is the mature stage, when theorists recognize the limitations of the film medium and the study of literary adaptations enters the "literature-centered" doctrine. The third stage is the transition period, in which the introduction of modern and postmodern theories questioned and deconstructed the "literary centralism", and the study of adaptation faded away in the trend of multiple theories and deconstruction. With the change of understanding of literature and film media, the study of adaptation presents a law of oscillating development between the two kinds of arts. Under the current digital media, film shows strong discreteness, constructiveness and interactivity, which echoes the trend of deconstructing "literature-centric" doctrine. At the same time, it also reminds adaptation studies to be alert to the trap of formalism and pay attention to the positive significance of literature to the development of film art
A Comparative Study on the Semantic Similarities and Differences Between Chinese Modal Verbs and Korean Modal Constructions in Daily Communication
Get PDFThis study employs a mixed-method contrastive analysis to investigate the semantic similarities and differences between Chinese modal verbs and Korean modal constructions in everyday communication. Modal structures in both languages are categorized by their function (ability, obligation, desire) and systematically compared using corpus data, contextual examples, and learner feedback. Key findings highlight that while Chinese and Korean share these basic modal categories, they differ in structural expression (Chinese uses invariant modal verbs whereas Korean uses inflected modal constructions) and in pragmatic usage (Korean encodes politeness levels overtly, whereas Chinese relies more on context). These differences often pose challenges for learners, as evidenced by a survey and interviews, underscoring the need for explicit contrastive teaching. The study proposes pedagogical strategies for bilingual education to address these issues and improve learners’ accuracy and intercultural communicative competence
Generative AI (GAI) Use for Cybersecurity Resilience: A Scoping Literature Review
Get PDFWith cyberattacks increasing in volume and number, organizations are increasingly at risk of adverse financial and reputational impacts. Cyber attackers are quick to implement technologies like Generative Artificial Intelligence (GAI) to enhance attacks, while organizations have yet to fully benefit from GAI to improve cybersecurity defenses. This scoping literature review analyzes current research and identifies gaps in the literature about how Generative Artificial Intelligence (GAI) can be used to enhance cybersecurity resilience. The analysis includes an overview of GAI, ethical considerations and challenges, future directions and research opportunities, and a discussion of how this GAI research can be applied
Theoretical Foundations and Research Context of Civil Engineering Talent Readiness in Overseas Workplaces
Get PDFThe Belt and Road Initiative has catalyzed the globalization of Chinese infrastructure enterprises, creating an urgent demand for civil engineering professionals equipped with both technical expertise and cross-cultural adaptability. Higher vocational colleges in China have adopted the Industry Education Integrated Model to bridge the gapbetween academic training and industry needs. However, persistent discrepancies between graduate preparednessand overseas workplace requirements underscore systemic challenges in curriculum design, stakeholder collaboration, and competency assessment. This article expands upon existing research by introducing the School-Enterprise-Employee model, a tripartite framework that evaluates competency alignment across stakeholders. Through a case study of BRI projects in Malaysia, the study highlights the critical role of transnational competency development in vocational education. Empirical data from pilot programs reveal a 15% increase in graduate retention and a 22% reduction in compliance violations, validating the SEE model’s efficacy. The article concludes with actionable policy recommendations to enhance the global readiness of civil engineering graduates
An Enhanced Framework for Urban Water Consumption Analysis: Feature Clustering with Ensemble Methods
Get PDFUrban water consumption analysis presents significant challenges due to the complex interplay of socioeconomic, demographic, and built environment factors. This paper introduces a novel Feature Clustering Framework of TopK and Threshold with Ensemble Method (FCTTE) specifically designed to address high-dimensional urban datasets. We evaluate this framework using a comprehensive dataset of 1,120 features across eight domains related to New York City's urban environment. Our experiments demonstrate that FCTTE significantly outperforms conventional feature selection methods, improving LightGBM classification accuracy by 4.6% compared to baseline, while traditional methods achieved only 1% improvement. The framework identified median family income, energy usage intensity, adult male population, greenhouse gas emissions, and commercial building characteristics as the most influential factors affecting water consumption. By effectively managing feature redundancy through hierarchical clustering and strategic selection, FCTTE provides urban planners with interpretable insights for water resource management while maintaining superior predictive performance. This integrated approach bridges the gap between fragmented analyses of individual urban factors and the need for holistic understanding of water consumption patterns in complex urban environments