Scientific and Social Research

Creative Transformation of Local Industrial Heritage under the Background of Urban Renewal — A Case Study of “Baomian 1958”

Lu Bai — 2026-06-05

Against the dual background of the transformation of old industrial bases and urban renewal, the protection and utilization of industrial heritage have become an important task for preserving the cultural identity of cities and activating the value of existing stock space. As one of the second batch of national pilot cities for urban renewal, Baotou has revitalized the industrial remains of the former Baotou Cotton Textile Mill by developing the Baomian 1958 Themed Cultural Block, successfully turning the “industrial rust belt” into a “cultural show belt.” Taking this project as a research sample, this paper deconstructs its practical paths of creative transformation, analyzes its transformation effects and practical dilemmas, and puts forward feasible optimization strategies and extensible experience and enlightenment.

From Barrenness to Lushness: Vegetation Greening of the Loess Plateau as Seen from Satellite Images and Its Implications for Urban Ecological Resilience

Mingrun Wang — 2026-06-05

Understanding vegetation dynamics in ecologically fragile regions is crucial for assessing the impacts of climate change. This study employed the kernel Normalized Difference Vegetation Index (kNDVI) to characterize the vegetation changes on the Loess Plateau from 2001 to 2022, analyzing its spatiotemporal trends, stability, and persistence, and quantitatively evaluating the environmental driving factors using the Geodetector method. The results showed a significant increasing trend in kNDVI, reflecting an improvement in vegetation coverage. The coefficient of variation (0.03–4.41) revealed significant spatial heterogeneity and low vegetation stability, while the Hurst exponent (0.21–0.77, with an average of 0.67) indicated strong persistence in vegetation changes. Climatic factors, especially the mean annual precipitation (MAP) and the aridity index, were the dominant drivers of kNDVI changes. There were significant interactions between climatic factors and biophysical and anthropogenic factors, particularly the interaction between MAP and vegetation type, topography, and land use change, which explained over 60% of the variation. These findings deepen the understanding of nonlinear vegetation-environment interactions and provide key insights for optimizing ecological policies on the Loess Plateau.

A Study on the Social Media Communication of Fu Tea Culture from the Perspective of Integrating AI-Assisted Foreign Language Translation and Short Videos

Xiaodong Peng — 2026-06-05

In the era of digital media, the cross-cultural dissemination of intangible cultural heritage in China encounters two major problems due to language barriers and the difficulty of rewriting stories with traditional themes into new narrative forms. This paper takes Fuzhou tea culture, a national intangible cultural heritage project, as the research object to explore the effects of applying AI-aided translation of short videos and social network communication modes to this intangible cultural heritage project. The study finds that using artificial intelligence for multilingual translation can overcome language barriers to a certain extent, enabling people to understand relevant cultural content relatively easily, while short videos can enhance people’s sense of affinity for the culture through a combination of pictures and texts. The communication mode that combines the two can be regarded as an attempt at integrated media. Both can provide foreign audiences with a low-cost and highly efficient way to understand and spread Chinese Fu Tea culture. Based on the experience of making short videos and conducting Weibo promotions by myself and others in the past, this paper proposes a workflow of “AI Preliminary Translation + Human Polishing + Weibo Promotion”, and puts forward opinions on aspects such as content format, technical ethics, and communication effects.

The Application of Injunctions against Infringements of Personality Rights

Yunxi Hou — 2026-06-05

On the basis of sorting out the concept, attributes, and legislative development of the injunction regime against infringements of personality rights, this paper analyzes the practical difficulties in the operation of the regime in light of existing research results and the current state of judicial application. These are mainly manifested in the fact that the applicable conditions are not sufficiently clear, the standards of proof lack uniformity, the criteria for determining urgency are vague, the assessment of “irreparable harm” lacks specific guidance, and the rules on the duration and rescission of injunctions as legal effects remain inadequate. In the future, differentiated application rules should be established around the types of infringements of personality rights, the stages of infringement, and the degree of risk; the standards of proof, the determination of urgency, and the methods for assessing “irreparable harm” should be further refined. At the same time, the rules on the duration and rescission of injunctions should be improved, and the circumstances for rescission upon application and rescission by the court ex officio should be clarified, so as to enhance the operability and stability of the regime. Through the further improvement of the relevant rules, the injunction regime against infringements of personality rights will be better able to realize its function of preventive relief.

Research on the Integrated Governance Model and Collaborative Utilization Mechanism of Data Resources

Jinyang Yu — 2026-06-05

In the digital economy era, data acts as the core production factor driving social development. This paper explores the construction and implementation of data resources’ integrated governance model and collaborative utilization mechanism to resolve existing data management challenges. It first defines data integration and confirms its function in eliminating data silos, improving data availability, and elevating data value. Then it compares Chinese and foreign data integration governance models, underlining the importance of standardization and multi-stakeholder collaboration. It further illustrates the concept, implementation approaches, and key technologies of collaborative utilization, among which cloud computing, big data analytics, and artificial intelligence significantly improve utilization efficiency. The information circulation mechanism and data sharing platform form the core of the governance framework. Moreover, policy support and technological investment are indispensable for model implementation. Ultimately, a scientific governance model and mechanism can accelerate the value release of data elements, promote the modernization of government governance, and facilitate high-quality socio-economic development.

Exploration of the Model of Joint Graduate Training between Scientific Research Institutes and Skill-Oriented Vocational Undergraduate Colleges

Yuanfei Xue — 2026-06-05

The joint graduate training between scientific research institutes and skill-oriented vocational undergraduate colleges serves as a crucial channel to integrate scientific research resources with skill development, addressing the issue of disconnect between talent cultivation and practical needs while enhancing the quality and comprehensive capabilities of graduate students. Practically, it is essential to establish a robust collaborative linkage mechanism, create a stable and efficient cooperation model, optimize the structure of dual-instructor teams, enhance teaching and research guidance, develop a distinctive curriculum system, precisely align industry-education integration with research needs, build practical research platforms, provide graduate students with opportunities for hands-on training and innovative practice, improve the quality evaluation system, ensure the quality of joint training throughout the process, deepen industry-education integration, facilitate the transformation of research achievements, promote the effective implementation of joint training outcomes, and assist in cultivating compound talents with both research capabilities and practical skills.

Research on Improving Public Service Efficiency in the Context of Digital Transformation

Xiaorui Ding — 2026-06-05

In light of the continuous deepening of the Digital China strategy and its intertwining with the modernization of the national governance system, profound changes have been witnessed in the field of public services. Digital transformation, as a core driving force, provides critical impetus for enhancing public service efficiency and breaking through supply bottlenecks. The support of public services is essential for maintaining people’s well-being and social equity, with their operational efficiency significantly influencing citizens’ experiences and government management effectiveness. In China’s public services, the enabling mechanisms of digital transformation have been revealed through the technology-organization-environment framework and collaborative governance theory. Multiple practical cases demonstrate that such transformation can substantially improve service efficiency, yet current public service transformations face multiple obstacles, particularly issues like inefficient processes, isolated information, and technological disparities. Digital transformation opens new avenues for enhancing service efficiency, necessitating the construction of solutions that integrate technology-driven approaches, process reengineering, multi-party collaboration, and security assurances. Digital technologies are aiding government departments in innovating their service models.

The Challenges and Responses of Generative AI for Mental Health Teachers in Chinese Institution of Higher Education

Xinyi Li — 2026-06-05

The rapid development of generative artificial intelligence technology is profoundly reshaping mental health education in colleges and universities, which has systematically challenged the professional identity, professional practice, and emotional care of mental health teachers. Based on the practice of mental health education in colleges and universities, this paper systematically analyzes the specific application forms of generative AI in the work of mental health teachers in colleges and universities, and deeply discusses its core challenges to the professional development of mental health teachers, including: the professional pressure of teachers’ role transformation, the potential threat of students’ subjective development, the algorithm limitation and cultural deviation of emotional support, and the ethical dilemma of the boundary between data security and man-machine responsibility. Finally, the paper puts forward a coping path based on “AI-assisted and teacher-led”, and constructs a three-dimensional coping framework from the individual level, organizational level and technical level to help mental health teachers realize the role transformation from “passive pressure” to “active adaptation” in the wave of technology, and finally reduce the incidence of students’ psychological crisis and improve the quality of mental health education.

Scapegoat: Sacred Dissolution and Ethical Redemption in Never Let Me Go

Zongjun Tan — 2026-06-05

Kazuo Ishiguro’s Never Let Me Go focuses on the experiences of clones and stands as a literary example of the ethical dilemmas brought about by technological advancement. As “scapegoats”, the very origin of the clones’ identity contains a sense of sacredness. While explaining the cloning mechanism, Ishiguro deconstructs this sacredness through a procedural system that resembles the “rite of passage.” In contrast to this programmatic deconstruction, the novel opens up a new path for ethical redemption on the micro level. By presenting Kathy’s memories and the emotional bonds among the clones, the narrative suggests a form of self-redemption for the clones that does not rely on institutional absolution.

Job Crafting and Motivational Evolution in the AI Era: The Dual-Path Motivational Evolution Embedded in AI Work — Capability Paradox and Relational Restructuring

Mengyuan Zhao — 2026-06-05

Against the backdrop of artificial intelligence (AI) technology continuously integrating into organizational operations and job practices, traditional motivation theories, constrained by static research assumptions, struggle to reasonably explain the complex situation where employees experience both increased and decreased motivation. Rooted in motivational psychology and integrating Expectancy Theory with Self-Determination Theory, this paper constructs a dual-path motivation analysis framework. Focusing on two core characteristics—the capability paradox and relationship reconfiguration—the paper systematically explores the dynamic evolution patterns and intrinsic mechanisms of employee motivation in AI application scenarios. Empirical analysis based on multi-time-point tracking data reveals that AI integration into work settings primarily influences individual motivation systems through two paths: task reshaping and cognitive reshaping, resulting in differentiated impacts. High cognitive demand jobs commonly exhibit a capability paradox where “objective performance improves while subjective competence perception declines”, a contradiction significantly alleviated by employees’ AI literacy. Meanwhile, employees’ perceptions of work relationships are undergoing profound transformations, shifting from traditional interpersonal emotional support orientation to a rational orientation with clearly defined rights and responsibilities, with increased collaboration frequency failing to synchronously enhance relationship security. From a dynamic perspective, this study expands the applicability boundaries of classical motivation theories, providing robust theoretical support and practical references for organizations to optimize motivation management, refine incentive systems, and assist employees in better adapting to career transitions in AI-enabled environments.

Research on Fostering Virtue and Cultivating People in Applied Undergraduate Universities from the Perspective of Recognition Theory

Bing Liu — 2026-06-05

At present, applied undergraduate universities face practical challenges in fostering virtue and talent, including the lack of emotional recognition, misaligned legal recognition, and deviations in achievement recognition—essentially reflecting a deficiency or misplacement of recognition. Therefore, guided by recognition theory, universities should build an all-round and multi-level approach to fostering virtue and talent across three dimensions: creating an educational environment with humanistic care, improving the student-centered institutional system, and establishing an integrated evaluation system of morality and skills, so as to ultimately cultivate high-quality applied talents with moral character, professional skills and a strong sense of responsibility who adapt to regional economic and social development.

Research on the Role and Strategies of Artificial Intelligence in the Regional Economic Development of Yunnan and Its Function as a Radiation Center for South Asia and Southeast Asia

Zihan Yang — 2026-06-05

As the core technology in the era of digital economy, artificial intelligence (AI) is also a key engine driving high-quality regional economic development and enhancing the level of opening-up. As China’s radiation center for South Asia and Southeast Asia, Yunnan boasts border location advantages, a foundation of characteristic industries, and support from opening-up policies. The application of AI can not only activate the momentum of regional economic development within the province, but also strengthen Yunnan’s digital connectivity, industrial driving, and trade radiation capabilities to neighboring regions. Based on the current situation of Yunnan’s regional economic development and the requirements for building a radiation center, this paper analyzes the realistic foundation for AI to empower Yunnan’s economic development, expounds the core role of AI in the transformation and upgrading of Yunnan’s regional economy and the improvement of border opening-up, and finally puts forward targeted strategies from the aspects of overall planning, infrastructure consolidation and industrial integration. The research aims to provide useful references for Yunnan to take AI as the starting point to realize coordinated regional economic development and strengthen its radiation function for South Asia and Southeast Asia.

A Brief Analysis of the Protection and Inheritance Paths of Ethnic Minority Cultures in Yunnan’s Border Happy Villages Under the Background of Rural Revitalization Strategy

Xiaoqian Xu — 2026-06-05

As an important strategic area located on China’s southwest border, Yunnan Province has a 4,188-kilometer-long border line, with 16 indigenous ethnic minorities living across the border, boasting extremely rich ethnic cultural diversity. In response to the development needs of the new era, Yunnan Province has launched and implemented the modern border happy village construction project. In this construction process, traditional ethnic minority cultures are not only important cultural resources and spiritual wealth but also key components of rural revitalization. Focusing on the core theme of “the protection and inheritance paths of ethnic minority cultures in Yunnan’s border happy villages”, this paper explores the following key issues: First, what are the main achievements and challenges in the construction of Yunnan’s border happy villages? Second, what specific measures and mechanisms have been adopted for the protection and inheritance of traditional ethnic minority cultures? Third, how to promote the integrated development of culture, industry, and tourism, and what practical problems exist? Fourth, how to achieve the coordinated development of cultural protection and modernization? Through a systematic analysis of these issues, this paper strives to provide theoretical guidance and practical references for the deepening paths of border happy village construction and ethnic cultural protection.

Research on the Preparation and Property Control of Composite Materials Based on Single-Walled Carbon Nanotubes

Jingchun Zhang — 2026-06-05

Single-walled carbon nanotubes (SWCNTs) possess a unique electronic structure, high mechanical strength, and excellent thermal conductivity, making them a focus of research in the field of composite materials. Therefore, this paper first summarizes the preparation methods of SWCNT-based composite materials; then analyzes the property control strategies of SWCNT-based composite materials, and proposes methods to improve their mechanical, electrical, and thermal properties by controlling the defect degree and spatial arrangement, as well as conducting surface functional modification; finally, combined with the latest research results, focuses on the application breakthroughs of SWCNT-based composite materials in fields such as conductive agents for lithium-ion batteries, aerospace structures, and flexible electronic devices, so as to provide theoretical guidance for the industrial preparation of high-performance composite materials.

Research on the Coupling Mechanism of Variety IP Empowering County Economy

Aixi Du — 2026-06-05

The county economy is an important carrier of rural revitalization. As a traffic portal and cultural carrier, variety IP provides new momentum for the upgrading of county industries. Taking Believe in the Land 3 as an example, this study analyzes the coupling mechanism, influencing factors, promotion paths, and replicable models between variety IP and county economy, reveals the action path of “IP empowerment-industry collaboration-space reconstruction”, and explores a replicable integrated model of “variety + rural cultural tourism + e-commerce.”

Technological Empowerment or Power Restructuring: AIGC and the Transformation of Micro-Drama Production

Ziyun Tang — 2026-06-05

This research discusses the application of artificial intelligence-generated content (AIGC) in the micro-drama industry, focusing on whether technological empowerment has fundamentally changed the creative mechanism. With the help of theories such as human-computer collaborative creation, media empowerment, and creative labor, the article puts forward an analytical framework that covers the three levels of technology, production, and power. The research adopts the case analysis method to examine how AIGC changes the content production process, creative subjectivity, and industrial structure. As a result, it was found that AIGC not only improved production efficiency but also reallocated resource allocation and transferred creative power from institutions to individual creators. But at the same time, its generation mechanism exacerbates the homogenization of content and weakens the subjectivity of creation. The research further points out that the micro-dramas generated by artificial intelligence will develop along two trajectories: one is the enhancement of technical control, and the other is the revival of creative value. This contradiction shows that the sustainable development of the industry depends not only on algorithm optimization, but also on the institutional arrangement to protect the subjectivity of creation. Without conscious intervention, the improvement of efficiency may come at the expense of cultural homogenization and the weakening of the author’s voice.

Research on the Development Path of Ecological Animal Husbandry in Yushu Prefecture under the Constraints of Grass-Livestock Balance

Qingwei Hu — 2026-06-05

The grass-livestock balance system, as a core policy tool for grassland ecological protection, has increasingly evident contradictions with the development of animal husbandry in pastoral areas. Ecological animal husbandry plays a crucial role in addressing the conflicts between protection and development. Under the constraints of grass-livestock balance, the development of ecological animal husbandry in Yushu Prefecture faces numerous structural constraints, such as reduced ecological carrying capacity, constraints from traditional concepts, feed supply shortages, low added value in the industrial chain, and a lack of relevant supporting policies. The root cause lies in the failure of collaboration among the “nature-industry-system.” This study proposes a systematic and integrated development path from three dimensions: strengthening natural foundations, enhancing industrial drivers, and improving institutional guarantees. It also demonstrates the internal mechanisms of the coordinated development paths among these three aspects, providing theoretical references for ecological protection and industrial coordinated development in ecologically fragile regions of the Qinghai-Tibet Plateau.

Research Progress of Novel Characterization Techniques in Structural Analysis of Microbial Proteomics

Zekun Duan — 2026-06-05

Microbial proteomics is a key approach to understanding and analysing microbial physiology, metabolism, pathogenic mechanisms, and environmental adaptation. Due to limitations in sample purity, throughput, and cost, traditional structural analysis techniques struggle to fully detect the vast number of unknown proteins within the microbial proteome. In recent years, structural elucidation of the microbial proteome has been driven by innovations in cryo-electron microscopy, high-resolution mass spectrometry, AI-based structure prediction, and multi-model integration techniques. This field has evolved from single-protein studies to the entire proteome, from in vitro purification to in situ dynamics, and from static structures to functional networks. The following article provides a systematic review of the latest advances in cryo-EM visualisation of proteomics, in situ mass spectrometry, AI-based structure prediction, and multi-technique integration, offering a reference for the in-depth decoding of microbial protein functional networks.

During the Same Period, the Development of Female Artists in China was Compared with that of Female Artists in Europe

Yiqian Wang — 2026-06-05

This study focuses on female artists of the Tang Dynasty and female artists of the same period in Europe. It conducted research on the works of these female artists, made comparative analyses of representative female artists one by one, explored the value of their works during that period, analyzed the commonalities of female artists from different cultural backgrounds, and investigated the differences among them. Selecting representative female artists, the study compared their styles, achievements, and influences from multiple dimensions. The research found that social mobility, cultural inclusiveness, and the art evaluation system are important factors influencing the artistic development of female artists. This study can enrich the comparative research content on the history of female art from a cross-cultural perspective and provide references for the development of contemporary female art.

Research on Cargo Ship Trajectory Based on Time Window Smoothing Filter Algorithm and Transformer Model

Na Li — 2026-06-05

With the flourishing development of maritime transportation, the safety of cargo ship navigation cannot be overlooked. To ensure the safety of cargo ship navigation and improve the prediction accuracy of cargo ship trajectories, the Transformer model is utilized to predict cargo ship navigation trajectories, enabling the anticipation of spatial and temporal location information of cargo ships in the near future. This facilitates proactive operations and early warnings, thereby ensuring the safety of cargo ship navigation. Previously, predictions of cargo ship navigation trajectories were mostly based on statistical and traditional machine learning methods, which exhibited poor model adaptability and high constraints, making them unsuitable for the current complex and thriving maritime traffic patterns. In the modern era, the rapidly developing Automatic Identification System (AIS) enables researchers to obtain vast amounts of cargo ship trajectory data, providing favorable conditions for mining data characteristics of cargo ships. Therefore, this paper, based on AIS data, combines the time window smoothing filter algorithm and employs the Transformer model to predict, research, and analyze cargo ship navigation trajectories. Furthermore, an early warning mechanism for cargo ships is established to alert to deviations from the planned route, thereby ensuring the safety of cargo ship navigation.

Construction Project Price Priority Compensation Right: Application Dilemmas, Interest Conflicts and Improvement Paths

Xiao Teng — 2026-06-05

Article 807 of the Civil Code and related judicial interpretations grant the contractor the legal priority right, namely, the priority compensation right for project prices. This right is regarded as one of the legal guarantee mechanisms in civil and commercial law, and it is endowed with functions such as safeguarding the creditor’s rights of project prices, maintaining the order of the construction industry, and protecting the rights and interests of workers. However, in judicial practice, phenomena such as subcontracting, illegal subcontracting, subcontracting under false pretenses, and pre-sale housing financing keep emerging. The priority compensation right faces multiple dilemmas, including inconsistent determination of the subject scope, ambiguous requirements for the exercise procedure, and blurred positioning of the right nature. Based on this, this paper, based on existing representative research results, systematically examines the manifestations of these dilemmas and conflicts, analyzes the interest games among multiple subjects, and accordingly proposes an optimized institutional path that is in line with the actual situation of the construction market, with the aim of bridging the gap between norms and practice and promoting the standardized operation of the priority compensation right system.

Investigation on New Agricultural Business Models in China — Integrating Smallholders into Modern Agriculture

Yixuan Guo — 2026-06-05

China’s agricultural sector is undergoing a critical transition from fragmented smallholder farming to large-scale, modernized operations. Smallholders often face challenges in evolving into qualified operators of modern farms due to constraints in capital, technology, management capacity, and risk resilience. In response, various innovative agricultural business models have emerged. This paper systematically reviews and compares five mature models currently in practice, focusing on their operational mechanisms, benefit-sharing arrangements, risk allocation, and applicable contexts. The study finds that each model possesses distinct advantages and limitations, influenced by factors such as agricultural product types, regional resource endowments, and farmer capabilities. Among these, the “Enterprise + Farmer” sharecropping model facilitates risk-sharing and mutual benefit, serving as an effective pathway to integrate smallholders into modern agriculture and promote moderately scaled operations.

Children and War: Anti-Japanese War Propaganda in Southeast Children

Kai Qian — 2026-06-05

Founded in Jinhua in 1939, Southeast Children was a children’s periodical that carried out the core task of Anti-Japanese War propaganda. Its editorial philosophy held national salvation to be the guiding principle of its policy practice with emphasis on the adaptability of the forms of propaganda to children's cognition, psychological characteristics, and life experiences. Against this backdrop, various tactics of propaganda were implemented to ensure a child-appropriate expression of the Anti-Japanese War discourse. These included: using ceremonial occasions like the Double Fourth Children’s Day (4 April), publishing literary and artistic works accessible to children, presenting child role models, and introducing children’s games. Its Anti-Japanese War propaganda helped the magazine play a positive role in promoting national awareness, uniting children, and working with wartime education. Children’s periodicals such as Southeast Children offer an effective window to the intrinsic link between wartime society and its children.

Research on an Adaptive Intelligent Compensation System of Anchor Cable Based on AI and Multimodal Perception

Fuling Cheng — 2026-06-05

In order to ensure the anchoring effect of anchor cable in foundation pit and slope projects, and ensure the stability and safety of the project, this paper studies the design and implementation of an adaptive intelligent compensation system of anchor cable based on multimodal perception, relying on artificial intelligence (AI). This paper first discusses the design of multi-modal perception fusion monitoring, AI intelligent decision-making, loss prediction, IOT remote monitoring platform, adaptive closed-loop control, and so on. This paper analyzes the hardware system, AI model algorithm, IOT cloud platform, and app, system integration, and closed-loop control. The authors hope that this paper can provide a scientific reference for the subsequent application and optimization of the system.

College Students’ Reporting Willingness and Its Influencing Factors: The Mediating and Suppressing Roles of Tolerance of Integrity Violations

Xiaoxuan Guo — 2026-06-05

This study examines why university students are willing, or unwilling, to use formal reporting channels when encountering integrity-related misconduct. Drawing on new institutionalism, it links formal institutional evaluation, informal normative environment, boundary cognition, tolerance of integrity violations, and reporting willingness. Based on an anonymous survey of 331 students from four universities in Beijing and a structural equation model, the results show that satisfaction with integrity governance significantly increases reporting willingness. Perceived prevalence of integrity-risk practices also has a positive direct effect, suggesting that problem awareness may activate students’ sense of responsibility. Boundary cognition does not directly predict reporting willingness, but it reduces tolerance, which in turn increases reporting willingness. Tolerance therefore operates as a complete mediator in the cognition path and as a suppressing mechanism in the perceived-prevalence path. The findings indicate that university integrity education should focus on attitude formation, safe reporting procedures, and confidence in formal channels.

Analysis of Dynamic Changes of Endosperm Starch Content and Related Gene Expression at Different Stages of Rice Seed Germination

Zhongling Shi — 2026-06-05

When seeds reach full maturity, they store large amounts of nutrients such as starch, which serve as the energy base for the subsequent germination process. This study took rice seeds as the research object, focusing on analyzing the changes in endosperm starch content at different germination stages and the expression of key genes involved in starch hydrolysis. Multiple technical methods were adopted, such as iodine staining microscopy, total RNA extraction, and reverse transcription-quantitative PCR (RT-qPCR), to detect and analyze the shape, quantity, and staining intensity of endosperm starch granules, and the relative expression of the OsAmy1A gene in rice seeds germinated for 1, 3, and 5 days. The results showed that during rice seed germination, the seeds presented obvious temporal developmental characteristics: no obvious germination phenomenon at 1 day, radicle protrusion at 3 days, and seedling emergence at 5 days. The endosperm starch content showed a continuous downward trend, which was consistent with the energy demand of seed development. As a key gene for starch hydrolysis, the relative expression of OsAmy1A increased gradually, with a significant increase between 3 and 5 days of germination. These two dynamic changes were closely related, which proved that the OsAmy1A gene accelerates the hydrolysis and transformation of endosperm starch by regulating the synthesis of α-amylase, thus providing the necessary energy and materials for seed germination and early seedling growth. The results of this study provide an experimental basis for further exploring the regulatory mechanism of material metabolism during rice seed germination, and also provide practical reference for optimizing rice seed storage, improving processing technology, and enhancing rice quality.

A Review of Key Works and Translation in North American Oracle-Bone Studies

Fang Geng — 2026-06-05

This article reviews the key works of North American oracle-bone studies, focusing on its historical development, as well as its translation and reception within the Chinese academic context. The existing scholarship can be divided into three major phases: the early stage (1910s-1930s) , which focused on the collection and cataloguing of oracle-bone inscriptions; the stage of disciplinary formation (1950s-1990s), characterized by palaeographic and linguistic interpretation; and the stage of interdisciplinary expansion since the 21 century, marked by the increasing integration of linguistics, archaeology, anthropology, history, and comparative studies. The translation and reception of North American oracle-bone scholarship in China have taken various forms: the translations of influential monographs, historiographical introductions, and studies of translation practices. The review shows that while North American oracle-bone studies occupies a significant position in global oracle bone studies, it still lacks systematic bibliographic compilation, while its translation, dissemination, and reception in the Chinese academic context remain insufficiently studied.

Morphological Characteristics and Tool Assemblage of Rice-Cultivation Tillage Tools in the Hemudu Culture

Yajun Duan — 2026-06-05

A large number of bone spades, wooden spades, wooden shovels, and a small number of stone spades related to rice-cultivation tillage have been unearthed from sites of the Hemudu Culture. Existing studies have mainly focused on the forms, hafting methods, and functions of individual bone spades, while less attention has been paid to how different tools participated in continuous tillage processes and formed assemblage relationships. This paper examines Hemudu tillage tools under low-lying, waterside, and shallow muddy surface conditions, focusing on their material properties, working-end forms, hafting structures, and possible operational functions. The study argues that these tools were not scattered artifacts, but formed a basic tool assemblage through land opening, soil turning and lifting, and preliminary field-surface treatment. This assemblage was characterized by the dominance of bone spades, the supplementary role of wooden tools, and the transitional appearance of stone spades, showing preliminary division of labor and limited coordination. This perspective helps shift the study of Hemudu agricultural tools from artifact classification toward tool relationships within tillage processes.

Enrichment and Detection Technology of Wheat Stem Rust Spores Based on Microfluidic Chips

Wenbo Sun — 2026-06-05

To address the problems of low spore capture efficiency and insufficient automation in wheat stem rust monitoring, this study developed an integrated spore detection system featuring automatic capture, identification, and remote monitoring. A microfluidic chip with a four-stage micro-separation structure was designed and optimized via numerical simulation and fabricated using soft lithography with PDMS. An aerosol generator was used to simulate spore diffusion, a microscopic imaging system was applied to obtain spore morphological features, and an intelligent spore recognition model was established based on the YOLOv8 algorithm. Finally, a spore capture and analyzer integrated with environmental monitoring and remote communication functions was developed. The results showed that the simulated enrichment efficiencies of the microfluidic chip for spores of 100 μm, 50 μm, 25 μm, and 10 μm were 89.3%, 92.6%, 95.1%, and 90.8%, respectively, with an actual enrichment efficiency of 86.67%. The mAP@50 of the spore recognition model reached 96.7%, with precision and recall of 93.8% and 89.5%, respectively. The system established in this study enables high-efficiency capture, accurate identification, and full-process unattended operation of Puccinia graminis f. sp. tritici spores, providing technical support for the intelligent monitoring of airborne crop diseases.

Application and Prospects of Human Error Safety Analysis in Nuclear Power

Lihong Tang — 2026-06-05

Based on the analysis of the scientific concept of human error and the developmental stages of human reliability analysis methods, combined with the current research status of human reliability analysis and human error safety analysis methods in nuclear power, this paper analyzes methods for human error safety analysis in nuclear power from the perspectives of personnel, organization, system, and accident analysis. It summarizes the existing shortcomings of current human error safety analysis methods in nuclear power from the perspectives of data, model, system, and application, and proposes the future development direction of human error safety analysis technology in nuclear power from the perspectives of data, model, system, and application. It is proposed that Class B human errors during the digital transformation of nuclear power should not be overlooked, and human error safety analysis methods should be applied to jointly optimize the digital transformation path of nuclear power, improve the analytical capability for Class B human error events, and reduce the safety risks caused by potential human errors during the digital transformation process.

A Study on the Implementation Pathways of Venture Capital-Style Spin-off Entrepreneurship in Large Enterprises

Yijin Wang — 2026-06-05

Leveraging the supportive role of venture capital-style spin-off entrepreneurship in large enterprises to foster and expand emerging and future industries is a key requirement for building a modern industrial system. This paper constructs an evaluation index system for the implementation pathways of venture capital-style spin-off entrepreneurship in large enterprises and further explores the suitable scenarios for different implementation pathways. The study finds that the endowments of entrepreneurial teams, the strengths of large enterprises, and external environmental factors constitute the evaluation index system for the implementation pathways of venture capital-style spin-off entrepreneurship in large enterprises; the abrupt pathway is the optimal implementation pathway for achieving venture capital-style spin-off entrepreneurship in large enterprises. Further analysis reveals that the abrupt path demonstrates significant advantages in core indicators such as team goal alignment and internal corporate synergy, making it suitable for enterprises with abundant resources and high risk tolerance; the gradual path stands out for its robustness and, leveraging industrial ecosystem advantages, is suitable for resource-constrained and risk-averse enterprises; the iterative path is balanced across all dimensions and aligns with scenarios where both resources and risk levels are moderate; the hybrid path has low suitability due to insufficient team innovation and internal synergy. This paper not only reveals the implementation pathways and suitable scenarios for venture-capital-style spin-off entrepreneurship in large enterprises but also provides empirical evidence to support the nation’s efforts to refine its innovation-driven development strategy and build a modern industrial system through patient capital.

Research on the Influencing Mechanism of Tourists’ Revisit Intention to Mountain-based Health and Wellness Tourism Destinations: An Empirical Analysis Based on Multidimensional Perceived Value

Jingnan Zhu — 2026-06-05

Health and wellness tourism is a significant sector that meets people’s needs for a better life within the context of cultural and tourism integration in the new era. With the enhancement of national health awareness and the upgrading of leisure consumption, health and wellness tourism centered on forests, hot springs, and ecological culture has become a growth hotspot in the tourism market. As a world-class mountain-based tourism destination, Huangshan boasts unique natural ecological resources and profound Huizhou cultural heritage, making it an excellent carrier for developing health and wellness tourism. Tourists’ revisit intention serves as a core indicator for measuring the sustainable development of health and wellness tourism destinations, directly determining the destination’s market competitiveness and lifecycle. In the context of health and wellness tourism consumption, tourists’ revisit decisions are not solely driven by landscape resources but are deeply reliant on their comprehensive value perception during the tourism process. Therefore, it is necessary to systematically analyze the mechanism of value perception on revisit intention through a theoretical framework. This paper constructs an analytical framework based on perceived value theory, examining tourists visiting Huangshan for health and wellness tourism through questionnaire surveys from four dimensions: functional value, emotional value, social value, and cognitive value. It explores how perceived value in different dimensions drives tourists’ revisit intention, providing theoretical foundations and practical strategies for optimizing Huangshan’s health and wellness tourism products and enhancing destination operations.

Resources, Discourse, and Action: The Operational Logic of Collaborative Governance Among Urban Community Organizations in China

Pengfei Li — 2026-06-05

The governance system of Chinese urban communities has undergone continuous reconstruction in the rapid social transformation. The rise of diverse governance entities has led to an increasing complexity in the field of community governance. How to coordinate community organizations with different statuses, resources, and action logics to achieve effective governance has become a core issue that urgently needs to be addressed. Within conventional state-society dichotomies in existing literature, this article proposes an analytical framework of “resources- discourse-action”, which is integrated with Giddens’ structured theory to examine the interaction and collaboration mechanisms between grassroots community organizations in cities. Through long-term ethnographic research on multiple communities in Shanghai, this article found that although there is a significant asymmetry in resource endowment between primary-level Party organizations and neighborhood committees, homeowner committees, property management companies, and community self-organization, they ultimately achieve a “differential equilibrium” through a complex exchange mechanism embedded in formal institutions and informal practices. The findings of this study have deepened the understanding of the micro-mechanisms of collaborative governance in Chinese urban communities during the transition period, unveiled the underlying logic of multi-stakeholder governance, and offered fresh empirical and theoretical insights into the cooperation between the government and grassroots society.