Global Academic Frontiers publishes forward-looking articles from different fields. The goal is to showcase the latest research, insights, and perspectives on global academic topics. Each issue contains thought-provoking articles published by scholars from different fields, covering the latest research achievements in science, technology, culture, society, and other fields. Publishing Schedule: Issues published in March, June, September, December.
Editorial Office of Global Academic Frontiers
Reputation Systems, Algorithmic Management, and Gendered De-Flexibilization in Platform Work: A Conceptual Analysis
Reputation systems have become a central mechanism of platform labor governance. Although digital labor platforms frequently define flexibility as workers' ability to choose when and where to work, this formal discretion is increasingly conditioned by algorithmic rating, ranking, and order-allocation systems. This paper develops a conceptual framework to explain how reputation systems may transform platform flexibility into gendered de-flexibilization. Drawing on labor process theory, algorithmic management research, feminist work-family scholarship, and studies of platform governance, the paper argues that reputation systems do not merely evaluate service quality. Rather, they convert customer feedback into algorithmic signals that influence future access to work, income stability, and workers' practical control over time. The proposed framework identifies a score-order-income-time compensation chain: customer ratings affect reputation scores; reputation scores influence order allocation and platform visibility; reduced orders or penalties affect income; and workers respond by extending working time or increasing availability to restore earnings and reputation. This chain is especially consequential for women platform workers whose time is already constrained by unpaid care responsibilities and household labor. The paper contributes to platform labor studies by conceptualizing flexibility as a conditional and reversible resource, contributes to gender and work-family research by linking algorithmic control to unequal time autonomy, and provides policy implications for transparent scoring, review and appeal mechanisms, anti-discrimination safeguards, and gender-sensitive platform governance.
Copyright (c) 2026 Yuan Gao, Jiayi Luo, Zhenghang Xu (Author) https://creativecommons.org/licenses/by/4.0
Blockchain Electronic Bills of Lading in Cross-Border Trade: Development, Challenges, and Governance Responses
With the sustained advancement of digital trade and the digital transformation of international shipping, blockchain electronic bills of lading, characterized by decentralization, immutability, traceability, and efficient circulation, have gradually become an important direction for the digital replacement of traditional paper bills of lading. However, the promotion of blockchain electronic bills of lading in cross-border trade still faces multiple practical obstacles. On the one hand, existing legal norms lack clear provisions on their legal nature, function as documents of title, and negotiability, resulting in insufficient institutional support. On the other hand, the transparency and multi-party data-sharing mechanism of blockchain have also brought risks such as the leakage of trade secrets, inadequate privacy protection, and difficulties in cross-border data governance. Meanwhile, the coexistence of real-time cross-border capital flows and reliance on intermediary platforms has posed challenges to traditional financial regulation, including delayed regulatory responses, insufficient rule coordination, and weak collaborative supervision. In light of this, coordinated efforts should be made in improving legal rules, strengthening data security governance, and enhancing cross-border financial regulatory cooperation, so as to promote the standardized application and sound development of blockchain electronic bills of lading in cross-border trade.
Copyright (c) 2026 Jiayi Luo, Kaili Sun, Yuan Gao (Author) https://creativecommons.org/licenses/by/4.0
Research on the Corrosion Modification Mechanism and Application of Polypropylene Fibers Based on a Combined System of Plasma Pretreatment and Chemical Etching
Polypropylene (PP) fibers, despite their advantageous properties, are limited by surface inertness and low chemical activity. This study develops a controllable modification technology using a combined plasma pretreatment and chemical etching system. The proposed "plasma activation-chemical etching synergy" mechanism first activates the fiber surface via plasma treatment, creating active sites. Subsequent chemical etching then constructs micro-nano rough structures and exposes more active groups. An experimental plan is designed to optimize this process and characterize the results using SEM, XPS, contact angle measurement, and tensile testing. Theoretically, this approach is expected to significantly enhance surface reactivity and wettability while maintaining mechanical properties, providing an efficient pathway to expand PP fiber applications in functional materials.
Copyright (c) 2026 Yue Zhu, Jiawei Jiang, Guoxi Lv, Hongbin Xiong (Author) https://creativecommons.org/licenses/by/4.0
Impact of Control Parameter Deviations on PMSM Operating Efficiency and Adaptive Regulation Strategy
Permanent magnet synchronous motors (PMSMs) are widely used in industrial automation, transportation, and intelligent equipment due to their high efficiency, high power density, and good dynamic performance. However, parameter deviations caused by temperature variation, load fluctuation, model uncertainty, and aging may reduce control accuracy and operating efficiency. This paper analyzes the influence of control parameter deviations on PMSM drive efficiency using a MATLAB/Simulink-based vector control simulation platform. Speed-loop proportional gain, integral gain, stator resistance, and rotor flux-linkage estimation error are introduced as deviation variables. Their effects on efficiency, overshoot, settling time, power factor, stator current, and copper loss are quantitatively evaluated. Based on the results, an adaptive regulation strategy combining online parameter identification and operating-condition recognition is proposed. Simulation results show that rotor flux-linkage estimation error has the strongest impact on efficiency, followed by speed-loop proportional gain deviation. The proposed strategy reduces efficiency loss by more than 60% and decreases transient extra energy consumption by approximately 58%, providing a practical reference for improving PMSM drive efficiency.
Copyright (c) 2026 Zhuopeng Gao (Author) https://creativecommons.org/licenses/by/4.0
The Intrinsic Logic and Implementation Paths of Computing Infrastructure Driving the Integration of Digital and Real Economies
As a new type of infrastructure, computing infrastructure—comprising data centers, intelligent computing centers, and supercomputing centers—plays a pivotal role in driving the deep integration of the digital and real economies. This paper systematically investigates the intrinsic logic and mechanisms through which computing infrastructure promotes digital-real economy integration. It constructs a three-dimensional analytical framework encompassing technological empowerment, organizational response, and ecological synergy. The findings indicate that: (1) The technological empowerment mechanism lowers the threshold for real economy enterprises to adopt digital technologies and unlocks the value of data elements, enabling inclusive and intelligent access to computing power. (2) The organizational response mechanism optimizes resource allocation and improves corporate governance by easing financing constraints, curbing the tendency of enterprises to shift from real to virtual activities, and enhancing information transparency. (3) The ecological synergy mechanism, built upon an open-source innovation commons, facilitates cross-regional and cross-industry knowledge spillovers and expands innovation networks. Based on these theoretical insights, the paper proposes a collaborative governance framework of “government guidance, market drive, and social participation,” which includes optimizing the spatial layout of computing infrastructure, strengthening institutional linkages between universal computing access and open-source sharing, and implementing differentiated industrial and regional policies. This study provides theoretical support and policy references for advancing digital-real economy integration and cultivating new quality productive forces.
Copyright (c) 2026 Qianlin Zhang, Ling Zhou (Author) https://creativecommons.org/licenses/by/4.0
From Form to Meaning: Contemporary Expression and Aesthetic Implication of Traditional Dance Elements
"From form to meaning" is both the spiritual pulse of Chinese art and the aesthetic path for traditional dance elements toward contemporary expression. This paper takes "form" and "meaning" in traditional dance as core categories to explore their way of regeneration in contemporary dance creation. The "form" of traditional dance contains stylized bodily logic and the rhythmic beauty of national culture; meanwhile, "meaning" is the spiritual imagery and emotional charm revealed through bodily perception. With the introduction of modern dance trends, "form" in dance is no longer a static symbol but becomes a medium for the generation of "meaning". This paper analyzes the contemporary expression strategies of traditional dance elements from three levels: the abstraction of movement structure, the symbolization of imagery expression, and the aesthetic reconstruction of bodily perception. It points out the dynamic relationship of being mutual surfaces and interiors, symbiosis, and resonance formed by "form" and "meaning" in contemporary creation. The study believes that the modern transformation of traditional dance elements should not stop at formal renewal, but should achieve the reappearance of cultural spirit and the contemporary rebirth of imagery through bodily perception and aesthetic generation.
Copyright (c) 2026 Zhou Tiantian (Author) https://creativecommons.org/licenses/by/4.0
A Study on Foreign Trade Transformation under Dual-Dimensional Drivers: Empowering Industry with Yue Opera Culture—A Case of Shengzhou's
Driven by the dual wheels of globalization and the national strategy for cultural advancement, the living inheritance of intangible cultural heritage (ICH) and the upgrading of local foreign trade industries have become core issues for achieving high-quality regional economic development. As a major ICH province in Zhejiang, the Shengzhou scarf and necktie industry serves as a core pillar of the local export economy. Yet, it faces development dilemmas such as intensifying international competition and severe product homogenization, with small and medium-sized enterprises (SMEs) particularly encountering a crisis of order loss. The deepening implementation of Zhejiang’s ICH support policies and the transformation of the international textile market constitute a dual-dimensional driving force, propelling industrial transformation. Through methods such as literature research and case analysis, this paper explores the pathways for cultural empowerment under this dual-dimensional drive, identifies fusion points between Yue Opera culture and this industry, and ultimately constructs a practical pathway system for Yue Opera culture to empower industrial transformation. This provides a replicable model for the high-quality development of traditional foreign trade industries.
Copyright (c) 2026 Jiaying Zhang, Qiwei Pang (Author) https://creativecommons.org/licenses/by/4.0
Research and Analysis on Polypropylene Fiber Orientation Crystallization Technology and Its Impact on Material Strength Properties
Polypropylene (PP) fiber is widely used in textiles, medical applications, geotechnical construction, and composite materials due to its excellent characteristics such as light weight, low cost, and chemical resistance. The final performance of the fiber, especially mechanical properties like strength and modulus, largely depends on its internal microstructure, including crystallinity, crystal morphology, and the degree of molecular chain orientation. Orientation crystallization technology is a key means to regulate the microstructure of polypropylene fibers, thereby significantly enhancing their mechanical properties. This paper systematically reviews the technical principles and development of inducing orientation crystallization in polypropylene fibers through processes such as high-speed spinning and electrospinning. First, the paper elaborates on the crystallographic fundamentals of polypropylene, including crystal forms, crystallization kinetics, and their relationship with molecular chain structure. Secondly, it focuses on analyzing the induction mechanisms of flow fields and stretch fields during spinning on polypropylene molecular chain orientation, nucleation, and crystal growth, discussing the influence of molecular weight and its distribution, and spinning process parameters (such as spinning speed, cooling conditions) on orientation crystallization behavior. Subsequently, the paper summarizes various methods used to characterize the crystalline structure and mechanical properties of polypropylene fibers, such as density gradient column, inverse gas chromatography, X-ray diffraction, and mechanical testing. Based on existing literature research, this paper deeply discusses the formation conditions of the highly oriented shish-kebab structure and its decisive contribution to fiber strength. The results indicate that by optimizing the orientation crystallization process, the crystallinity and crystal orientation of polypropylene fibers can be effectively improved, leading to an order of magnitude increase in tensile strength and elastic modulus. Finally, this paper prospects future research directions for polypropylene fiber orientation crystallization technology, such as multi-component system induced crystallization and green processing technologies.
Copyright (c) 2026 Guoxi Lv, Jiawei Jiang, Yue Zhu, Hongbin Xiong (Author) https://creativecommons.org/licenses/by/4.0
Quantitative Forecasting and Development Pathways of the Linkages between the Shellfish Industry and Fishermen's Income in Liaoning Province: An Empirical Analysis Based on the GM(1,1) Model
This study takes Liaoning Province, a core fishery region in Northeast China, as a case study to quantify the contribution and long-term impact mechanisms of the shellfish aquaculture industry on regional fishermen's household business income. Addressing the typical characteristics of limited data samples and incomplete system information, the research employs the GM(1,1) prediction model from grey system theory to independently model and forecast shellfish production and fishermen's household business income for the period 2010-2033. The empirical results indicate: using the original, non-translated data, the Liaoning shellfish production prediction model passed the ratio test, with a development coefficient (a) of -0.01885, forecasting a sustained and steady expansion of the industry scale, with production projected to reach approximately 3.19 million tons by 2033. The fishermen's household business income series, due to initial high volatility, required the application of a translation constant C=265,410 to establish a viable GM(1,1) model, which yielded a development coefficient (a) of -0.02986, also predicting a long-term growth trend for income. Model accuracy evaluation showed that the shellfish production forecast had a mean relative error of 4.839%, a posterior variance ratio C of 0.502, and a small error probability P of 0.786, achieving an accuracy grade between "qualified" and "good". Although the income prediction model had a higher mean relative error (20.125%), its posterior variance ratio C was 0.272, and the small error probability P was 1, indicating a robust trend in the forecasted sequence. Integrating a literature review on Liaoning's fishery industrial structure—where the primary sector dominates but the secondary and tertiary sectors' shares are gradually increasing—and fishermen's income composition—where household business income is the core pillar—this study further elucidates the transmission mechanisms through which the shellfish industry influences fishermen's income via multiple pathways, including direct sales, value-added processing, and linkages with recreational fisheries. Finally, based on the forecast results and the current industrial landscape, the study proposes countermeasures and suggestions, such as promoting intensive and ecological shellfish aquaculture, deepening aquatic product processing, fostering industrial integration, and strengthening scientific, technological, and policy support. These recommendations aim to provide a theoretical basis and decision-making reference for the sustainable and inclusive development of the marine fishery economy in Liaoning Province and similar regions in China.
Copyright (c) 2026 Zhu shenghu, Chen tian, Liu jiawen, Gong mali, Zhang kaixing (Author) https://creativecommons.org/licenses/by/4.0
A Study on the Acceptance Willingness and Driving Factors of Agricultural Drones Among Smallholder Farmers in Liaoning Province
This study investigates the acceptance willingness and driving factors of agricultural drones among 229 smallholder farmers in Liaoning Province. Based on the UTAUT model and incorporating policy support variables, the research explores their attitudes toward adopting agricultural drones.A stratified random sampling method was employed to select smallholder farmers from six regions within the province for in-person interviews and online questionnaires. SPSS 27.0 was used for reliability and validity testing, correlation analysis, and multiple regression analysis.Results indicate that the questionnaire demonstrated good reliability and validity. Performance perception, perceived ease of use, social environment, and policy support all exerted significant positive effects on smallholder farmers' acceptance intention, with performance perception having the strongest influence and perceived ease of use the weakest. Based on empirical findings, the study proposes countermeasures including strengthening benefit guidance, establishing a socialized promotion network, optimizing the policy support system, and improving drone service models. These measures aim to enhance smallholder farmers' acceptance of agricultural drones and promote the intelligent transformation of agriculture.
Copyright (c) 2026 Liu Jiawen, Zhu Shenghu, Ju Youxiu, Li Mianxue (Author) https://creativecommons.org/licenses/by/4.0
Research on Cultural Communication Strategies and Cross-Border Development Paths for New Chinese-Style Children’s Wear
As a representative carrier that integrates traditional Chinese culture with contemporary design, new Chinese-style children’s wear has become an important medium for disseminating Chinese culture internationally, supported by the rise of the “Guochao” (China Chic) trend and the rapid development of cross-border e-commerce. Drawing upon cultural communication theory, brand internationalization theory, and digital trade theory, this study systematically analyzes the cultural communication mechanisms and market expansion paths of new Chinese-style children’s wear in the process of going global. From four dimensions—cultural symbol innovation, cross-border channel adaptation, digital communication, and technological empowerment—the research investigates how this category leverages cultural value and cross-border innovation to realize the transformation from product export to cultural identity transmission. By examining the overseas practices of leading brands such as Balabala, Youlan, and Li Ning Kids, this study summarizes successful experiences and challenges, and proposes differentiated strategies informed by cultural confidence, offering theoretical and practical insights for the internationalization of children’s wear brands. The findings suggest that the global expansion of new Chinese-style children’s wear is not merely a commercial activity but a process of transmitting cultural soft power. Going forward, efforts should focus on constructing a children’s wear cultural database, enhancing the digital cross-border ecosystem, and strengthening international educational cooperation to transition from “products going global” to “values going global.”
Copyright (c) 2026 Jiayi Ruan, Chengen Li (Author); Sixian Lu (Translator) https://creativecommons.org/licenses/by/4.0
Current Status, Challenges, and Recommendations for the Shellfish Industry in Qingdao
The shellfish industry constitutes a vital component of Qingdao's marine economy, renowned for its long history and diverse species including clams, oysters, and scallops. This study systematically analyzes the current development status and prominent challenges facing Qingdao's shellfish industry based on data from the city's aquaculture germplasm resource census, regional aquaculture statistics, and representative case studies. It proposes targeted development strategies. Findings indicate that Qingdao's shellfish industry has achieved steady growth in total output, establishing an industrial structure dominated by clams, oysters, and scallops. This sector has also produced a number of superior varieties and renowned brands, including “Haida 1-4” and “Hongdao Clam.” However, the industry's sustainable development faces severe challenges, including intensified ecological pressures in aquaculture zones (such as overcapacity farming and starfish blooms), frequent marine disasters, an incomplete industrial chain, and low product value-added. Therefore, this paper proposes that aquaculture activities should be scientifically assessed and planned around the core principle of “determining scale by capacity”; strengthening seed industry system construction and protecting local germplasm resources; promoting the industry's transition towards green, efficient, and facility-based operations; and enhancing market competitiveness through deepening processing and brand building. This study aims to provide theoretical foundations and practical references for the high-quality development of the shellfish industry in Qingdao and similar coastal regions across China.
Copyright (c) 2026 Shenghu Zhu, Tian Chen, Jiawen Liu, Mali Gong (Author) https://creativecommons.org/licenses/by/4.0
Optimizing Employee Motivation Mechanisms in Modern Enterprises: A Theoretical and Practical Analysis
Employee motivation mechanisms have become increasingly crucial for maintaining competitiveness in modern enterprises. Drawing on classical motivation theories and organizational behavior research, this study analyzes the conceptual foundations, key influencing factors, and common problems in current motivation practices. The findings reveal that many enterprises still face issues such as insufficient fairness and transparency, overreliance on homogeneous incentives, weak implementation, and a lack of alignment with employees’ dynamic and diverse needs. In response, this study proposes a set of targeted optimization strategies, including establishing transparent performance evaluation systems, adopting diversified and personalized incentive tools, strengthening execution and supervision, and building adaptive motivation frameworks. These recommendations aim to improve employee engagement, enhance organizational effectiveness, and provide practical guidance for enterprises seeking to refine their motivation practices in rapidly changing environments.
Copyright (c) 2025 Li Jiali (Author) https://creativecommons.org/licenses/by/4.0
Research on the Hydrophilic Modification Mechanism and Application of Polypropylene Fibers Based on Silane Coupling Agents and Acrylic Resin Composite Systems
Polypropylene (PP) fiber plays a significant role in civil engineering, textile engineering, and filtration/separation due to its excellent mechanical properties, chemical resistance, and low cost. However, its molecular chain, composed entirely of carbon and hydrogen, lacks polar functional groups, resulting in very low surface energy and poor hydrophilicity. This inherent defect severely limits its application effectiveness in scenarios requiring good interfacial adhesion or hydrophilic/moisture-absorbing properties. For instance, in concrete, the weak interfacial bond between the fiber and the cement matrix leads to low stress transfer efficiency; in textiles, its poor moisture-wicking property significantly affects wearing comfort. This study aims to develop and systematically investigate a composite crosslinking agent, with silane coupling agent and waterborne acrylic resin as core components, for efficient and durable hydrophilic surface modification of PP fibers. The paper begins with an in-depth literature review, analyzing the surface characteristics and modification needs of PP fibers, and systematically summarizing the principles and limitations of existing hydrophilic modification techniques. Based on this, an innovative synergistic modification mechanism of "Silane Coupling Agent Bridging - Acrylic Resin Film Formation" is proposed: The hydrolyzed silanol groups of the silane coupling agent (e.g., KH-550) anchor onto the PP fiber surface, while the organic functional group (e.g., amino group) at the other end reacts chemically with the carboxyl groups on the molecular chains of the waterborne acrylic resin. Subsequently, through the resin's own crosslinking and curing, a robust, continuous, and hydrophilic group-rich three-dimensional network coating is constructed on the fiber surface. Based on this mechanism, this paper designs a complete and feasible experimental research plan. The scheme details the entire process from the preparation of the composite crosslinking agent, the pre-treatment of PP fibers and the dip-dry modification process, to systematic characterization and performance evaluation. Characterization methods include Fourier Transform Infrared Spectroscopy (FTIR) for analyzing changes in surface chemical structure, Scanning Electron Microscopy (SEM) for observing surface morphology evolution, contact angle measurement and water absorption tests for quantifying the improvement in hydrophilic performance, and cement mortar flexural strength tests to verify the practical enhancement effect of the modified fibers in composite materials. Through in-depth discussion and analysis of the anticipated results, this study theoretically demonstrates the feasibility and effectiveness of this composite crosslinking agent system. The expected results indicate that polar functional groups will be successfully introduced, and a dense coating will be formed on the surface of the modified PP fibers. The water contact angle can be significantly reduced to the hydrophilic range, and the water absorption rate will be greatly improved. Furthermore, the interfacial bonding with the cement matrix will be fundamentally improved, thereby significantly enhancing the flexural strength of cement mortar. This research not only provides a novel, environmentally friendly, and highly promising technical pathway for the hydrophilic modification of PP fibers but also offers theoretical reference for deeply understanding the construction mechanism of organic-inorganic hybrid coatings on fiber surfaces, holding significant theoretical and practical importance for promoting the development and application of high-performance PP fiber composites.
Copyright (c) 2025 Jiawei Jiang, Guoxi Lv, Yue Zhu, Hongbin Xiong (Author) https://creativecommons.org/licenses/by/4.0
Challenges and Coping Strategies for Foreign Trade Enterprises in Yinzhou District in the Trump 2.0 Era
The “Trump 2.0” policy, involving tariff adjustments, reforms to trade preference systems, and measures to enhance supply chain security, introduces changes in the global trade environment. As a leading region in Ningbo’s foreign trade, Yinzhou District faces a new external environment and structural adjustments under these evolving trade policies. Factors such as tariff modifications, updated compliance requirements, and shifting market structures influence the operations of the district’s foreign trade enterprises, particularly in areas of cost management, risk control, and market deployment. Based on the development of Yinzhou’s foreign trade, this paper examines the key components of the policy, identifies the challenges faced by enterprises, and provides strategic recommendations for addressing them.
Copyright (c) 2025 Jiayi Luo, Kaili Sun, Yuan Gao (Author) https://creativecommons.org/licenses/by/4.0
Strategic Planning Research on the Development of Local Characteristic Agricultural Product Industrial Clusters——A Case Study of Longyou Bamboo Industry Based on Neo-endogenous Development Theory
As the rural revitalization strategy advances further and the process of agricultural modernization accelerates, developing industrial clusters for local characteristic agricultural products has become a key avenue to boost high-quality regional economic development and increase farmers’ incomes. Known as the "Hometown of Bamboo in China," Longyou County has a bamboo forest area of around 410,000 mu (approximately 27,333 hectares), a standing bamboo stock of more than 70 million culms, and an annual output value of its bamboo industry exceeding 4 billion yuan (RMB)—making it one of the most distinctive industries for improving local people’s livelihoods in the county. However, the industry faces challenges such as extensive resource use, inadequate industrial chain extension, insignificant brand value, and weak interest links with communities, rendering the traditional exogenous-driven model no longer viable. Following the principles of the Neo-endogenous Development Theory and from its perspective, we conducted a thorough review of the strengths and challenges faced by the Longyou Bamboo Industry Cluster (a cluster of bamboo-related businesses in Longyou). Based on this review, we put forward directions for better development, such as: supporting the growth of local stakeholders, promoting the integration of the primary, secondary, and tertiary industries, establishing a network for innovation and exchange, implementing a dual strategy of brand building and green development, and improving ways of internal collaboration and external cooperation. This study aims to provide both theoretical guidance and practical support for the Longyou Bamboo Industry, as well as similar characteristic industries in other regions.
Local Characteristic Agricultural Products
Copyright (c) 2025 Qi Fu, Ruiqianyu Hu, Hongbin Xiong (Author) https://creativecommons.org/licenses/by/4.0
A Comparative Study of the English Translations of Idioms in the Novel Guisheng from the Perspective of Translator Behavior Criticism
Shen Congwen’s literary works are renowned for their distinctive Xiangxi (West Hunan) setting, with idioms serving as a defining characteristic of his novels. The novel Guisheng stands as a quintessential example of his style, rich in local expressions that pose significant challenges for translators. This study conducts a comparative analysis of the English translations by Gladys Yang and Jeffrey C. Kinkley, examining their approaches from both intra-translational and extra-translational dimensions, with a specific focus on the rendition of two-part allegorical sayings, common sayings, and nicknames. The findings indicate that, from an intra-translational perspective, Gladys Yang consistently adopts a reader-oriented approach. She effectively conveys the original meaning while ensuring the fluency and accessibility of the target text, often simplifying complex cultural references to enhance readability. This approach achieves a notable balance between “truth-seeking” (adherence to the source text) and “utility-attaining” (serviceability for the target reader). In contrast, Jeffrey C. Kinkley prioritizes maximum fidelity to the source text, leaning decisively toward the “truth-seeking” end of the spectrum by meticulously preserving the original structure, linguistic features, and cultural imagery, even at the expense of immediate reader comprehension. From an extra-translational perspective, the study explores the translators’ professional roles, translation philosophies, and the substantial influence of patronage systems. It demonstrates that translator behaviors and translation strategies were shaped and constrained by a complex interplay of subjective and objective factors. Yang’s position with China’s Foreign Languages Press and Kinkley’s academic background emerge as crucial determinants in their respective approaches, highlighting how institutional contexts and personal scholarly commitments fundamentally guided their translation decisions and ultimately shaped the reception of Shen Congwen’s work in the English-speaking world.
Copyright (c) 2026 Zhu Keyan (Author) https://creativecommons.org/licenses/by/4.0
Study on Measuring the Level of High-Quality Development of China's Marine Economy
At present, China's economy has shifted from a stage of rapid growth to a stage of high-quality development.The ocean is a strategic place for high-quality development, and the promotion of high-quality development of the marine economy is a fundamental requirement for determining the thinking on the development of the marine economy, formulating routes and implementing macro-control policies in the current and future periods.Based on the five new development concepts, it has constructed an evaluation index system for the high-quality development of the marine economy that includes the five dimensions of "innovation, coordination, greenness, development and sharing".For the panel data of marine economy of 11 coastal provinces from 2017 to 2021, the entropy weight TOPSIS model is applied to construct the evaluation index of high-quality development of marine economy,and conduct quantitative research and assessment analysis.The results show:(1)In 2017-2021, the level of high-quality development of China's regional marine economy as a whole fluctuated upward, and inter-regional differences in the first narrowing and then expanding trend.(2)There were significant differences in the level of high-quality development of the marine economy in the three major ocean economic zones during the study period.
Copyright (c) 2026 Zhu Shenghu, Chen Tian, Liu jiawen, Wei Xinyu (Author) https://creativecommons.org/licenses/by/4.0
Research on the Impact of Smart City Construction on New Quality Productivity - A Quasi-Natural Experiment Based on the "Smart City" Strategic Pilot
Based on the panel data of 287 prefecture-level cities from 2011 to 2022, this article takes "smart city construction" as a quasi-natural experiment and uses the difference-in-differences model to analyze the impact of smart city construction on new quality productivity. Benchmark analysis indicates that the construction of smart cities has a significant positive impact on new quality productivity. Mechanism analysis indicates that both the level of human capital and the level of science and technology play a mediating role in the impact of smart city construction on new quality productivity. In the heterogeneity test, in terms of urban location heterogeneity, the construction of smart cities in the eastern and western regions has a significant promoting effect on new quality productivity. The significance in the western region is greater than that in the eastern region, while it is not significant in the central region. In the heterogeneity of urban scale, the influence coefficient of large cities is negative and not significant. In medium and small-sized cities, the construction of smart cities has a promoting effect on new quality productivity. The threshold effect indicates that there is a threshold effect in the upgrading of industrial structure. The stronger the level of industrial structure upgrading, the stronger the promoting effect of smart city construction on new quality productive forces. Therefore, it is proposed to promote the construction of new infrastructure related to smart cities, take human capital and scientific and technological levels as important means to enhance the quality of productivity, promote the regional coordinated construction of smart cities, and provide differentiated policy support to regions and industries at different stages of industrial structure upgrading.
Human capital level Upgrading of industrial structure
Copyright (c) 2025 Zhu Shenghu, Chen Tian (Author) https://creativecommons.org/licenses/by/4.0
Applying American Thanksgiving Culture in Senior Secondary English Reading-into-Writing Instruction
Anchored in the core competency orientation of the General Senior High School English Curriculum Standards (2017, revised 2020), this paper argues that cultural integration is central to effective reading-into-writing instruction at the senior secondary level. It first diagnoses persistent classroom challenges—disjunction between reading and writing, weak learner foundations coupled with single-track pedagogy, and insufficient cultural infusion—before proposing American Thanksgiving culture as a productive context because of its salient values of gratitude, reunion and service. Building on this premise, the study delineates a practical pathway comprising four mutually reinforcing components: embedding cultural background to create authentic reading contexts; mining the gratitude theme to guide continuation planning; enriching language input to ensure culturally appropriate and idiomatic expression; and emphasising process guidance with diversified assessment aligned to thematic conception, plot coherence, cultural integration, language control and stylistic effect. The approach aims to synchronise language ability and cultural awareness, enhance learners’ engagement, and support coherent, audience-aware narrative continuations. A concise research agenda is outlined to strengthen causal inference, refine assessment instruments, test cultural scope and sequencing, and ensure equitable, scalable implementation. The paper contributes a culturally grounded instructional framework and concrete classroom procedures that can inform English writing pedagogy in senior secondary schools, while signposting future empirical work on durability, transfer and differential impact across learner groups.
senior secondary English writing instruction
Copyright (c) 2025 Zhifou Yan, Min Liu (Author) https://creativecommons.org/licenses/by/4.0
Artificial Intelligence-Driven Smart Homecare: A Review of Applications, Challenges, and Prospects
With the accelerating global trend of population aging, traditional elderly care models are increasingly strained by limited service resources and growing quality demands. As a sustainable and cost-effective alternative, home-based elderly care has garnered widespread attention. However, older adults living at home often face critical challenges, including discontinuous health monitoring and insufficient emotional support. The rapid advancement of Artificial Intelligence (AI) technologies offers new pathways for developing intelligent elderly care solutions. This review systematically examines the major applications of AI in home-based care, focusing on two key domains: intelligent health monitoring and management and smart home environment systems. By analyzing representative research findings and practical implementations both domestically and internationally, this paper identifies core challenges across technical, user-centric, systemic, and ethical dimensions. Furthermore, it outlines future research directions, including personalized modeling, edge intelligence, empathetic human-AI interaction, multimodal data integration, and privacy-preserving strategies. This review aims to provide a theoretical foundation and a comprehensive framework to guide future research and practical advancements in AI-powered smart elderly care.
Copyright (c) 2025 Yifan Gao, Xinyue Huang, Haoze Ni, Yixuan Dong, Chengwei Feng (Author) https://creativecommons.org/licenses/by/4.0
Mediation Strategies in L2 Learning from Sociocultural Perspective: A Comparative Analysis of Empirical Studies
This paper evaluates the role of mediation strategies in second language learning (L2 learning), through analyzing two empirical studies about L2 learning. Both studies align with Sociocultural Theory’s core tenet that L2 development originates from socially mediated interactions. The comparative analysis reveals three key commonalities in mediation strategies: mediation serves as a critical bridge transforming external social interactions; effective mediation adheres to the “Zone of Proximal Development (ZPD)-aligned” principle, with strategies tailored to learners’ current L2 proficiency; mediation is a multi-agent system involving teachers, peers, tools, and learners themselves, rather than a teacher-centric process. Nonetheless, the two studies diverge in core goals, mediator roles, strategy implementation, adaptation to learners,and learner’s responses to linguistic contexts due to distinct sociolinguistic contexts and learner characteristics. According to the comparative analysis, three highly feasible mediation strategies for L2 learners are distilled: engaging in multi-agent interactive mediation, adopting ZPD-aligned context mediation, and practicing self-mediation for regulation. This study not only deepens the understanding of the mediating mechanism in L2 learning from the SCT perspective but also provides empirical references for designing adaptive mediation strategies in L2 teaching, improving teaching efficiency, as well as enhancing learner’s language proficiency.
Copyright (c) 2025 Siyu Deng (Author) https://creativecommons.org/licenses/by/4.0
A Cultural Cognitive Linguistic Study of Male Garment Description in The Scholars (Chapter1-30)
Since the mentioning of cultural cognitive linguistics, there is a shift of cognitive linguistics. However, previous studies have primarily focused on simple feature analysis of the Scholars, failing to either uncover the internal dynamic mechanism of how Wu trying to unveil satire topic through males’ garment. To address this gap, this study adopts Wen Xu’s partial concepts about cultural cognitive linguistics by establishing effective framework to find how Wu construct social identity, shape character’s fate, and reflect the rigid Confucian social hierarchy of mid-18th century China. The study intends to address the following three questions: (1) What cultural metaphors, metonymies, framings are embedded in the male garment descriptions in the first thirty chapters of The Scholars, and how do they project the hidden social hierarchies and ideologies of the Ming and Qing dynasties? (2) How does the framework collectively and dynamically contribute to our understanding of the interplay between language, culture, and cognition? (3) What is the cognitive function of male garment descriptions in the first thirty chapters of The Scholars in terms of activating cultural frames and reflecting the socio-cultural context of Wu’s time? Using AntConc for content collection and extraction, the study analyzes the first 30 chapters of this classic book. The findings reveal that cultural metaphorization, cultural metononymization, and cultural framing are effective in analyzing Chinese tradition classics. Interestingly, this paper also finds the internal operation logic among them. Cultural framing, no matter matched or mismatched one, can trigger or map the happenings of cultural metaphorization or cultural metononymization, or both, which is dependent on the specific context and garment descriptions. It also provides practical insights for future classic study.
Copyright (c) 2025 Zhiting He (Author) https://creativecommons.org/licenses/by/4.0
Research on the application of data enhancement and image restoration based on Generative Adversarial Network (GAN)
Generative adversarial network GAN can generate high-quality synthetic data through the adversarial training of generator and discriminator, so as to provide diversified training samples in data enhancement and image restoration, and improve the generalization ability of the model, which makes it have excellent performance in dealing with various tasks and can output high-quality data and pictures. Starting from the basic principles and main variants of GAN, this paper analyzes in detail the application cases, effect evaluation and challenges of GAN in data enhancement and image restoration, and looks forward to the future development direction of GAN.
Copyright (c) 2025 Wen Xin (Author) https://creativecommons.org/licenses/by/4.0
The Application of Laser Forming Technology in Additive Manufacturing and Its Quality Monitoring
This paper conducts an in-depth investigation into the field of Selective Laser Melting (SLM) within additive manufacturing (AM) technology, providing a detailed analysis of its market background, current status, and development prospects. As a revolutionary pioneer in future manufacturing, AM technology has rapidly emerged in recent years and found widespread application in high-end manufacturing sectors such as scientific research, healthcare, military industry, aerospace, and aviation. SLM technology, as a critical branch of AM, has become a focal point in numerous fields due to its advantages of high precision, high efficiency, and material diversity. This paper first outlines the industry background of AM technology, including its development history, primary methods, and technical characteristics. Subsequently, by comparatively analyzing the key technical parameters of major domestic and international SLM printing equipment brands, the current market status of SLM technology is revealed. In the competitor analysis, the paper focuses on the latest advancements in melt pool temperature monitoring technology and powder spreading detection technology. It points out the limitations of traditional temperature measurement techniques in aspects such as single-point measurement, accuracy, and response speed. The innovative approaches adopted in this project—namely, photoelectric sensor-fused thermal imaging processing technology and artificial intelligence (AI)-based machine vision inspection methods—are introduced. Furthermore, the paper explores future development trends for SLM technology, including product line expansion, service upgrades, and the positive impact of policy support and industry development. Through the research conducted in this project, we deeply appreciate the critical importance of technological innovation for enhancing the forming success rate of SLM technology and reducing material and energy costs.
Copyright (c) 2025 Yuhang Yao, Yicheng Shi (Author) https://creativecommons.org/licenses/by/4.0
From Competency Assessment to Curriculum Reform: How Does Artificial Intelligence Empower Higher Vocational Education?
This study explores the impact of Artificial Intelligence (AI) on vocational education, focusing on its role in competency assessment and curriculum reform. With the rapid evolution of technology, AI is poised to revolutionize how vocational training is delivered and assessed. By utilizing a quantitative research approach, a survey was conducted with 100 vocational students currently engaged in AI-integrated training. The findings reveal that while AI-based training provides personalized learning experiences, its direct impact on competency assessment was less significant than expected. In contrast, student engagement emerged as a critical factor influencing the effectiveness of AI in enhancing learning outcomes.
Copyright (c) 2025 Haoheng Tian, Xin Zeng, Lijia Huang, Linjia Song (Author) https://creativecommons.org/licenses/by/4.0
Discussion on problems caused by uneven deployment of 5G network edge computing nodes
This study focuses on the issue of uneven deployment of edge computing nodes in 5G networks. A multi-regional simulation model was constructed, and four key performance indicators were evaluated: average end-to-end latency, node load balance, request success rate, and resource utilization. Various optimization techniques, including automated scheduling and network slicing, were employed to control the simulation. The simulation results show that the average latency decreased from 54.8ms to 35.9ms, the load balance increased to 0.72, the request success rate rose to 91.7%, and the resource utilization improved to 74.6%. The study demonstrates that deploying optimized control strategies can significantly alleviate the performance bottleneck caused by uneven node distribution, thereby enhancing the overall service capability and resource utilization of the edge computing system.
Copyright (c) 2025 Jinghua Cui, Jiulong Zhang, Linluo Yao (Author) https://creativecommons.org/licenses/by/4.0
A Study of the Impact of ESG on Corporate Carbon Performance -- Based on the mediating effect of New quality productivity
To investigate whether corporate ESG can improve corporate carbon performance and facilitate the achievement of China's "dual-carbon" objective, we utilize panel data from China's A-share-listed companies spanning 2015 to 2022. We develop new quality productivity indicators through principal component analysis and empirically assess the impact and mechanisms of ESG on corporate carbon performance using bidirectional fixed-effects, mediated-effects, and moderated-effects models. The influence and mechanism of ESG on corporate carbon performance are experimentally analyzed utilizing a two-way fixed effects model, a mediation effects model, and a moderating effects model. Research indicates that (i) strong ESG performance can markedly enhance corporate carbon performance; this conclusion remains valid following various robustness and endogeneity assessments, including substituting core explanatory variables, lagging explanatory variables by one period, and augmenting the standard error of clustering at the city level. (ii) Mechanism analysis indicates that ESG performance enhances the carbon performance of firms both directly and indirectly by fostering advancements in new quality productivity. (iii) The examination of moderating effects indicates that company financialization enhances the favorable influence of ESG on corporate carbon performance. Heterogeneity study indicates that ESG exerts a more pronounced influence in the eastern area, among non-state-owned firms, and within non-heavily polluting enterprises. Consequently, to advance the low-carbon transformation of the economy, it is essential to stratify the policy design. Incentives for ESG can be enhanced for non-state-owned enterprises, manufacturing sectors, and the eastern region, while technology subsidies or differentiated assessment criteria are required for state-owned enterprises, heavily polluting industries, and the central and western regions to address the structural disparities in ESG practices and to encourage non-manufacturing industries to pursue synergistic avenues of digital transformation and ESG integration.
Copyright (c) 2025 Ying Wu, Yu Liao, Dai-Yun Li (Author) https://creativecommons.org/licenses/by/4.0
E-commerce Empowering the Digital Transformation of Small and Medium-sized Enterprises Driven by New Quality Productivity
This article explores the impact of e-commerce on the digital transformation of small and medium-sized enterprises driven by new quality productivity. It is analyzed that the digital transformation of small and medium-sized enterprises is confronted with predicaments such as technological application gaps, inefficient allocation of production factors, and weak industrial collaboration. Elaborate on the paths by which e-commerce helps small and medium-sized enterprises break through the predicament of transformation through mechanisms such as technological innovation, factor reorganization and industrial upgrading. Through case analysis, the practical promoting effects of e-commerce on enhancing the technological application capabilities of small and medium-sized enterprises, optimizing the allocation of production factors, and strengthening the level of industrial collaboration are demonstrated. Put forward policy suggestions such as strengthening technological infrastructure, promoting the marketization of factors, and building industrial communities to remove obstacles for the digital transformation of small and medium-sized enterprises and facilitate their high-quality development.
Copyright (c) 2025 Shiying Du, Linrong Wu, Yiming Pan, Huifang Hu (Author) https://creativecommons.org/licenses/by/4.0
Can the financial background of executives affect the digital transformation of enterprises?
The financial background of executives can provide financial consulting for enterprises and enhance effective interaction between enterprises and the financial industry, but the academic community has not yet clarified the impact of executive financial background on the digital transformation of enterprises. This article combines the macro pursuit of high-quality national development and examines the relationship between executive financial background and digital transformation of Chinese A-share listed companies from 2012 to 2022. Research has found that: The financial background of executives has a significant positive correlation with the digital transformation of enterprises. After key variable replacement, the above research results remain robust. This article reveals the impact and pathways of executive finance background on green investors under the background of high-quality economic development, enriches the research on executive characteristics and corporate financing constraints, and provides theoretical support and practical inspiration for executive recruitment decisions and structural design in enterprises.
Copyright (c) 2025 Chenghui Li (Author) https://creativecommons.org/licenses/by/4.0