This paper takes China’s AI computing infrastructure as the research object. Combined with the construction practice of the three major telecom operators, it systematically analyzes the layout characteristics, influencing factors and effectiveness evaluation dimensions of computing power. It focuses on the practical problems including unbalanced regional layout, incomplete evaluation system, low resource utilization rate and insufficient green empowerment. On this basis, it puts forward paths for layout optimization and effectiveness improvement from three aspects: regional coordination, standard system construction and efficiency promotion. The research findings provide theoretical reference and practical ideas for optimizing the layout of China’s computing infrastructure and strengthening its supporting effectiveness for strategic emerging industries.

This study proposes the construction of a three-dimensional dynamic evaluation model for academic journal impact, which establishes indicators across three dimensions—academic, dissemination, and knowledge services—and is empowered by artificial intelligence. It explores the direction of applying AIGC technology to facilitate the digital and intelligent transformation of academic journal evaluation in the context of media convergence, aiming to provide decision-making support for the paradigm shift toward a more comprehensive, intelligent, and dynamic approach to academic journal evaluation.  

Against the backdrop of the continuous deepening of population aging in China, constructing a “tiered and classified, universally accessible” elderly care service system has become a core issue in national strategic planning. However, traditional tiered and classified approaches struggle to accommodate the increasingly diverse and differentiated needs of the elderly population.This study finds that artificial intelligence, through multidimensional dynamic assessment, can enable a transformation of elderly care service provision—from an experience-driven, static response paradigm to a data-driven, dynamic governance paradigm—by centering on intelligent matching and proactive early warning mechanisms.Accordingly, this paper proposes a core implementation pathway built on three pillars: a dynamic intelligent assessment system, a data-driven dispatching model, and a proactive prevention and control network. These measures aim to promote the transformation of the elderly care service system from “scale expansion” to “quality and efficiency enhancement.”

Artificial intelligence serves as a pivotal engine driving the new round of technological revolution and industrial transformation, transforming people’s production and lifestyle at an unprecedented pace, including profound impacts on employment. The State Council issued the “Opinions on Deepening the Implementation of the ‘AI+’ Initiative” (State Council Document No. 11 [2025]), identifying “AI+” for improving people’s well-being as one of six key initiatives and proposing “creating more intelligent working methods.” The Fourth Plenary Session of the 20th CPC Central Committee emphasized the need to refine employment impact assessments and monitoring early warnings, comprehensively addressing the effects of external environmental changes and new technological developments on employment. Similar to past technological advancements, AI presents both opportunities and challenges for employment, with the key lying in actively understanding, adaptively responding, and scientifically mitigating its impacts to achieve high-quality, full employment amid the pursuit of high-quality economic and social development. Taking Guangdong Province as a case study, this paper analyzes AI’s significant influence on employment, explores practical models and innovative pathways for leveraging AI to empower high-quality, full employment based on Guangdong’s realities, providing theoretical support and practical guidance for addressing AI-related employment challenges and optimizing employment policies.

Manufacturing is the mainstay of the national economy, the foundation for establishing a nation, the instrument for its prosperity, and the basis for its strength. It is also a crucial support for China's modernization. Currently, the manufacturing industry is accelerating the integration and application of artificial intelligence technologies. As key technical supports, Digital and Intelligent Technologies are leading the manufacturing industry towards high end, intelligent, and green development in aspects including process innovation, data-driven approaches, model transformation, and green manufacturing. This includes optimizing production processes, enhancing decision-making efficiency, promoting flexible customization, and building a resource recycling system. To further improve the new quality productive forces level of the manufacturing industry, efforts should be made to support the transformation of small and medium-sized enterprises, improve data governance, cultivate professional talents, and overcome key core technology challenges, thereby providing long-term impetus for the high-quality development of the manufacturing industry.

With information technology as its core driver, the digital transformation of the manufacturing industry comprehensively promotes the upgrading and optimization of manufacturing production models, management methods, and ecological paradigms. It provides an effective means to advance new-type industrialization and build a dynamic and competitive modern industrial system. As benchmark representatives of global smart manufacturing and digital transformation in the manufacturing sector, lighthouse factories help observe innovative practices and cutting-edge directions in the transformation and development of the manufacturing industry. Taking annual lighthouse factories as samples, this paper finds, through diachronic data comparison, that China has achieved “quantitative”progress in terms of the number and growth of listed lighthouse factories, the coverage of involved industries, and the expansion of regional distribution. However, compared with developed countries such as the United States and Germany, there remains a certain “qualitative” gap in areas such as the conversion of old and new growth drivers, the overall digitalization process, and the international influence of technological output. By analyzing the current development achievements and existing gaps in the digital transformation of the manufacturing industry, this paper attempts to put forward referenceable path suggestions for further deepening and solidifying China’s manufacturing digital transformation.

In the context of the rapid development of the global gaming industry, games based on Chinese-style judicial cases are becoming a new window for Western players to understand Chinese culture. This paper systematically explores the characteristics and issues of such games in terms of development foundation, application scenarios, design mechanisms, talent support, and dissemination effects, based on a five-dimensional analytical framework of “feasibility, application, implementation, personnel, and outcomes.” The study finds that these games have advantages in narrative structure, cultural resources, and technical implementation, but still face challenges such as insufficient cultural translation, high barriers to international understanding, and weak localization capabilities. Accordingly, this paper proposes strategies from the perspectives of deepening cultural expression, optimizing product design, adapting international communication, and building an industrial ecosystem, providing a reference for the global development of Chinese ancient crime puzzle-solving games.

Based on the development needs of new productive forces, this study analyzes the current reality of insufficient integration between the “five educations” and the practical education system in universities. It explores the coupling mechanism between moral, intellectual, physical, aesthetic, and labor education and vocational ability development, which can effectively strengthen the alignment between the university education system and modern industrial demands, providing theoretical support for cultivating compound innovative talents.

During global industrial chain restructuring and the advancement of China’s 15th Five-Year Plan, building world class industrial clusters has become a core task for Shanghai to enhance its global industrial competitiveness and lead the development of new-quality productive forces. Starting from the basic theory of industrial clusters, this paper systematically sorts out the connotation and characteristics of world-class industrial clusters, analyzes Shanghai’s foundational conditions for building such clusters, and proposes implementable path plans from four dimensions: implementing gradient cultivation, deepening the integration of scientific and technological innovation with industrial innovation, fostering first class enterprises, and advancing regional collaboration. Furthermore, it suggests safeguarding Shanghai’s industrial clusters to leap from scale leadership to quality leadership by strengthening policy coordination, improving governance efficiency, and preventing risks, ultimately building world-class industrial clusters with global discourse power.

Rural economic development is an important step in improving the economic level of farmers, promoting the construction of new rural areas, and completing the construction of a comprehensive well-off society. In the process of rural economic development, rural culture plays an important role as an emerging industry. Nowadays, with the rapid development of the knowledge economy, attaching importance to rural culture in the process of rural economic construction is also an important step in promoting the harmonious development of rural economy. Therefore, research should be conducted on the rural cultural industry, and the role of developing the rural cultural industry in the rural economy should be proposed.

As a transnational mega-science project, the ITER faces notable management complexities due to its multi level governance structure. SWIP has thus built a full-life-cycle hierarchical management system classified by contract types, established three core principles, designed differentiated management models and control points for three contract categories, formed adapted international cooperation implementation paths, and accumulated applicable management paradigms and practical experience for international mega-science projects.

As an innovation-driven, high-tech and advanced form of productivity, new-quality productive forces feature high efficiency and high quality, serving as the primary driving force for the high-quality development of modern enterprises. Based on the theoretical connotation and core characteristics of new-quality productive forces, this paper analyzes the dilemmas and challenges confronted by traditional corporate strategies in the era of new quality productive forces. It constructs a path for enterprise strategic upgrading from five dimensions: scientific and technological innovation, factor allocation, industrial integration, organizational reform and value creation, and proposes guarantee mechanisms and implementation strategies for the implementation of such strategies. This research provides theoretical references and practical guidance for modern enterprises to adapt to the trend of productivity transformation and build sustainable competitive advantages.

GAI changed the production methods and dissemination models of knowledge, improved the efficiency of knowledge production and dissemination, and lowered the cost and threshold of knowledge production; however, it is accompanied by problems such as privacy risks, data security, intellectual property infringement, and lack of cultural tolerance. The above trends and contradictions guide the knowledge payment industry to explore new development models: 1.Clean up the information resource library and establish an information screening process with GAI as the production power. 2. Accelerate the coupling of traditional knowledge payment and GAI. 3. Carry out refined product production around emotional interaction.

With the successive issuance and implementation of a series of policy documents represented by Opinions of the State Council on Opening Up National Major Scientific Research Infrastructure and Large-Scale Scientific Research Instruments to the Society (Guo Fa [2014] No. 70), the state and some provinces and cities have attached great importance to the opening and sharing of scientific research facilities and instruments. We have steadily promoted the efficient utilization of scientific research facility and instrument resources, and continuously enhanced their efficiency in serving social development. Against the policy background of the “Two New Initiatives” (large-scale equipment renewal and consumer goods replacement with new ones), this paper conducts a special study on the sharing service of major scientific research infrastructure and large-scale scientific instruments in combination with the actual situation of Liaoning Province. It explores a sharing service path adapted to the policy orientation and in line with regional needs, so as to provide a reference for improving the utilization efficiency of scientific and technological resources in Liaoning Province and boosting scientific and technological innovation and industrial upgrading.

Promoting the deep integration of scientific and technological innovation and industrial innovation is a key task in cultivating new-quality productivity and enhancing regional competitiveness. The “unveiling the list and appointing the leader” mechanism, as a key innovation in the reform of the science and technology system, provides a new path for the transformation of scientific research results and the development of industrial technologies. Mianyang has innovatively implemented the “two-way unveiling and appointing the leader” mechanism, exploring a new model for the coordinated development of science and technology and industry through the two-way connection between corporate demand and scientific research supply. This article reviews the main practices and achievements of this mechanism, analyzes its problems in institutional design, organizational implementation, and resource allocation, and proposes optimization suggestions from the aspects of improving institutional design, strengthening factor guarantees, and improving incentive mechanisms, in order to provide reference for the reform of the science and technology system and regional integrated development.

This article takes Zhengzhou City as the research object, comprehensively sorts out the current situation of digital economy development in Zhengzhou, and accurately identifies the main challenges faced at present. Based on this, practical and feasible kinetic energy enhancement strategies have been systematically and deeply proposed around multiple dimensions such as digital infrastructure construction, digital industry development, digital transformation of traditional industries, data element market construction, and talent and innovation ecosystem creation, aiming to promote the stable, orderly, and efficient progress of Zhengzhou’s digital economy.

Marine ranching is an important carrier for the development of recreational fisheries and also a significant approach to promoting the development of marine tourism. In foreign countries, marine ranching generally attach great importance to the development of recreational fisheries and coastal tourism. Against the backdrop of vigorously promoting the construction of marine ranching and creating a “blue granary” in Guangdong Province, this paper reviews the development process of the integration of marine ranching and tourism, analyzes the current situation of the integrated development of marine ranching and marine tourism in Guangdong, summarizes the problems faced by the continuous growth of this new business model, and then proposes targeted measures to promote the integrated development of marine ranching and marine tourism.

With the profound evolution of economic globalization, opportunities and challenges are intertwined. Starting from the development of globalization, this paper summarizes the complex impacts of the traditional globalization model. Then, based on the current macro realities, it proposes to establish a new globalization model featuring equality, inclusiveness, openness and coordination. Finally, this paper reviews China’s achievements and contributions in integrating into globalization, calling on all countries to join hands with China to write a new chapter of globalization.

To address the challenges of insufficient integration between digital technology and tourism cultural industries, slow development of emerging business models, and delayed industrialization in Jiangxi Province, this study employs synergetic theory, establishes a coupling coordination evaluation model, and applies panel data analysis methods to investigate the coupling relationships, influencing factors, and operational mechanisms during the integration process. The research analyzes the coupling status, temporal and spatial distribution characteristics, and key constraints of these two subsystems in Jiangxi Province, while providing actionable recommendations for fostering new business models. These insights aim to accelerate the development of Jiangxi’s “Digital + Cultural Tourism” industry, promote innovative industrial forms, and enhance overall industrialization progress. 

Under the “dual carbon” goals, the synergy between urban green transformation and ecological and environmental governance is key to sustainable development. This paper focuses on the synergy between these two aspects, analyzing their value in terms of ecological security, high-quality economic development, and modernized governance. It identifies shortcomings in the policy framework, industrial and energy structures, governance mechanisms, and technological and financial support, and proposes implementation pathways across four dimensions: policy integration, industrial and energy synergy, full-chain governance, and technological and financial support. These approaches aim to resolve the disconnect between carbon reduction and pollution control, providing guidance for cities to achieve the “dual carbon” goals, enhance governance effectiveness, and advance green transformation.

R1: “Baijiu” must be translated as “Baijiu.” The study is based on the questionnaire and interview data of 15 enterprises in Guizhou Province, specializing in industries such as Baijiu, tea, chili peppers, and guitars, from the perspective of corporate human resources. It analyzes the competency requirements for core positions in platform operations, supply chain collaboration, cross-cultural communication, and data analytics. The findings reveal widespread shortages of versatile operational talent, loose collaboration between schools and enterprises in talent cultivation, and insufficient alignment between training content and job tasks. Accordingly, the study proposes pathways such as establishing an “industry embedded”talent training model, improving a“dual-scenario” practical training system, enhancing the international expression of local culture, and refining the collaborative support mechanism among governments, schools, and enterprises. These measures aim to improve the fit between cross-border e-commerce professionals and Guizhou's distinctive industries, facilitating their high-quality global expansion. The research provides practical insights for vocational institutions to optimize curriculum design, practical training, and evaluation mechanisms, offering significant practical value.

In the digital age, data, as an important strategic resource, holds significant value during its circulation process. During the deep integration of blockchain and data elements, blockchain provides a brand-new idea and path to solve the problems existing in the circulation and value release of data elements. This research designs a multi-scenario data trustworthy circulation mechanism and data traceability mechanism, and analyzes the effectiveness of these mechanisms in typical scenarios. The research results show that with the empowerment of blockchain technology, the credibility and efficiency of data source circulation have significantly improved. It has achieved traceability and auditability throughout the data life cycle, and under the premise of compliance and protection of privacy, it meets the data application requirements in multiple scenarios, effectively promoting the marketization development of data elements.

At present, Internet open-source data is characterized by massive ubiquity and heterogeneous structure, which has profoundly impacted the traditional intelligence collection model. Limited and targeted collection can hardly meet the needs of the new era, so it is urgent to analyze the changes in its operational logic from the perspective of paradigm transformation. This study aims to reveal the transformation path and provide support for the standardized and intelligent construction of intelligence work. Based on Kuhn’s paradigm theory, this study adopts normative analysis and logical deduction to sort out relevant characteristics and paradigms, analyze the impact of open-source data, identify dilemmas and propose transformation paths. Open-source data has promoted four major transformations in intelligence collection. Meanwhile, feasible solutions are proposed for the dilemmas, and systematic reforms are promoted from four dimensions, which is of great value for improving national intelligence collection capabilities.

The upgrading of intelligent technologies has reconstructed the development of the finance and accounting industry, setting new standards for its talent. From the perspectives of teaching objectives, pedagogy, teacher construction and the integration of production and education, this paper analyzes the disconnection between talents training and technology application, and proposes a reform path guided by scientific literacy, intelligent empowerment, double-qualified teachers and collaboration between schools and enterprises. So as to build a new training mode compatible with its requirements and provide high-quality talents.

Based on practical patent examination perspectives, this study systematically analyzes paradigm shifts in foreign-related intellectual property talent cultivation during the new era through three dimensions: “insight into timing and trends, coordinated innovation and restructuring, and balancing stability with progress.” The research proposes that talent development in foreign-related intellectual property must transition from traditional “rule enforcement” models to a “strategic shaping” paradigm. This involves reconstructing a “one-core four-wings” talent competency framework centered on strategic planning capabilities, supported by rule application proficiency, technology transfer capabilities, operational management skills, and integrated innovation capacities, while establishing a “four-wheel drive” talent cultivation pathway. 

This paper takes the “integration of four chains” (innovation chain, industrial chain, capital chain, and talent chain) as the theoretical framework, combines the policy coordination mechanism and the construction practice of concept verification centers, and explores the optimization of technology transfer paths in the new ecology of university-industry-research collaboration. Through the case analysis method, it reveals the policy barriers and institutional innovation space under the interaction of the four chains, and proposes a model of “policy coordination + concept verification + dynamic evaluation”, so as to provide solutions to the dilemma of low conversion rate of scientific and technological achievements in universities.

The transformation of scientific and technological achievements serves as an “incubator” linking technological innovation and industrial development, and a critical “gateway” for seamless integration of the innovation chain and industry chain. As a key force in technological innovation, higher education institutions play a significant role in the commercialization of research outcomes and supporting regional economic growth. The situation of technology transfer in private vocational colleges, as an important group of higher education institutions, is increasingly drawing attention. From the theoretical perspective of industry chain-innovation chain synergy, this study employs literature review and case analysis to examine the current status and main challenges of scientific and technological achievements transformation in private higher vocational colleges in Henan Province. Key issues identified include poor linkage between industry and innovation chains, low alignment of research outcomes with regional industrial needs, underdeveloped intermediary service systems, and insufficient depth of industry-academia collaboration. To address these challenges, the study proposes pathways such as establishing demand-driven research innovation mechanisms, building diversified collaborative transformation platforms, and improving incentive compatible policy environments. These measures aim to enhance the adaptability of scientific and technological achievements to regional industries, boost transformation efficiency, and drive regional industrial upgrading.

New quality productivity possesses unique attributes and is closely linked to common prosperity, especially in the digital era. In recent years, China has steadily advanced the process of common prosperity in the digital era based on new quality productivity, but still faces several challenges: overall effectiveness needs further enhancement; regional disparities are significant; the extent of benefits varies markedly among different groups; and the capacity to digitally empower rural common prosperity remains limited. These challenges primarily stem from: certain local governments’ lack of emphasis; weaker governance foundations in some areas; and certain factors hindering non internet users from becoming online. The prospects for advancing common prosperity in the digital era through new quality productivity are promising, with the main approaches being: strengthening the emphasis on advancing common prosperity in the digital era based on new quality productivity; solidifying the foundation for diverse entities to exert their effectiveness; and facilitating the transformation of non-internet users into online participants.

Based on panel data of 272 prefecture-level cities, this paper conducts an empirical analysis and finds that the digital economy significantly promotes the equalization of basic public services between urban and rural areas, and this conclusion is robust. Further mechanism tests show that the digital economy mainly functions by improving resource allocation efficiency and the accessibility of public services, but the digital divide has a restraining effect on it; at the same time, regional heterogeneity analysis reveals that this promoting effect is more significant in the western region.

As a key hub for China's westward opening, the Xinjiang FTZ requires a law-based business environment to achieve national strategic goals. SMEs, as drivers of innovation, are highly vulnerable to IP disputes in cross-border trade and emerging industries, necessitating an efficient and credible resolution mechanism. Current mechanisms face challenges including low regulatory practicality, uneven judicial resources, weak arbitration and mediation capabilities, and cross-border enforcement difficulties. This study proposes a diversified IP dispute resolution approach tailored to Xinjiang and SMEs, addressing five dimensions: legislative refinement, judicial specialization, arbitration and mediation cultivation, inter-ministerial coordination, and cross-border enforcement cooperation.

Against the backdrop of the Belt and Road Initiative’s high-quality development and intensifying international competition, intellectual property has become a core competitiveness and a high-risk area for Chinese enterprises going global. Based on their overseas operational reality, this paper analyzes the current status and prominent issues of their intellectual property protection, providing a reference for enhancing their overseas intellectual property governance capabilities.

The logic of generative AI disrupts tort law’s “human-act-consequence” chain, blurring liability among developers, providers, and users. This paper builds a multi-dimensional framework analyzing subjective intent, causation, and interest-risk balance to allocate direct/indirect, joint/several, and contributory liability, while considering exemptions and mitigating factors. The analysis supports judicial balancing of technological innovation and copyright protection.

With the rapid popularization of generative AI, copyright ownership of AI-generated content has become a key issue in intellectual property research. This paper analyzes practical difficulties in copyright ownership from legislative, judicial and academic perspectives, and puts forward rule-building strategies in these three dimensions, so as to improve the legal system and safeguard the sound development of the generative AI industry.