As an innovation engine for economic and social development, artificial intelligence (AI) is reshaping the industrial landscape and social progress path. Globally, there has been a consensus on active layout in the AI field, aiming to lead future development trends and consolidate international competitive advantages. Taking Changzhou as an example, this paper systematically analyzes the existing foundation and potential for later development of the local AI industry. It proposes an innovative development strategic goal centered on “AI+”, aiming to promote the AIempowered upgrading of local characteristic industries through pathways such as enhancing industrial infrastructure, driving application scenarios, fostering a conducive development environment, and international cooperation. This will inject new impetus into high-quality economic development.

Guizhou Province, as a western region with diverse ethnic populations, demonstrates significant advantages in the integrated development of culture and tourism. In the first three quarters of 2024, total tourist arrivals increased by 11.0% and total tourism revenue grew by 14.8%, showing remarkable results. However, issues such as insufficient integration depth still exist. In the future, high-quality development transformation of culture-tourism integration should be promoted through measures such as strengthening industrial chain integration, innovating development models, and improving brand building.

In recent years, China has issued a series of policy documents related to the digital transformation of education. Based on the policy tool theory, this study constructs a two-dimensional analysis model of “tool type-synergy dimension”, and conducts coding and statistics on policy texts through content analysis. The figure reveals the characteristic features and structural contradictions of the content design related to school-enterprise collaboration in the process of formulating policies for the digital transformation of education by the policy subjects. At the same time, it puts forward future policymaking suggestions such as building a new model of collaborative governance for digital transformation, forging a power engine for school-enterprise collaboration, removing the bottlenecks in the practice of industry-education integration, and establishing an agile governance monitoring mechanism, to assist in the development of the school-enterprise collaborative ecosystem under the background of educational digital transformation.

Intelligent manufacturing has become the core direction of the transformation in the manufacturing industry. The in-depth integration of artificial intelligence(AI)technology and mechanical and electronic engineering has driven a fundamental transformation in traditional manufacturing models. Focusing on the practical application of AI in the mechanical and electronic industry, this paper systematically analyzes the application paths of AI technology in the perception, control,optimization and other links of mechanical and electronic equipment, and deeply explores the breakthroughs and industrial value of AI-driven electromechanical systems in precision improvement, energy consumption reduction, fault early warning and other aspects. Research shows that with the empowerment of AI technologies such as machine learning and computer vision, mechanical and electronic equipment can achieve autonomous decision-making and adaptive adjustment, which significantly improves production efficiency and product quality, providing practical references and data support for the intelligent upgrading of the manufacturing industry. 

In the process of digital transformation of the logistics industry, data governance has become a core driving factor. Through reviewing the transformation practices of logistics enterprises, it is found that issues such as lagging standardization of data asset management and insufficient organizational structure and technical platform support are constraining the transformation process. Addressing these identified issues, governance strategies such as building a standardized data asset management system, strengthening data quality and security compliance, and improving organizational structure and technical platforms are proposed.

This manuscript investigates the global biopharmaceutical industrial landscape and development patterns, combining analytical insights into the characteristics of world-class life and health innovation hubs. The study aims to accelerate breakthroughs in critical life sciences technologies, establish an industry-collaborative innovation system, and deepen the convergence of innovation, industrial, financial, and talent chains. Ultimately, it seeks to expedite the creation of top-tier innovation hubs that leverage high-level scientific advancements to spearhead quality development and forge future-oriented competitive advantages. This approach charts a distinctive pathway for life sciences innovation that aligns with international standards, embodies Chinese characteristics, and addresses public health needs through science-driven solutions. 

With the advancement of low-altitude airspace management reform and the rapid development of the low-altitude economy industry, the construction of a standard system plays a vital role in promoting the industry’s standardization, systematization, and high-quality development. Based on data from the National Public Service Platform for Standards Information, this paper systematically reviews and analyzes national and industry standards related to the low-altitude economy across China in three main areas: low-altitude manufacturing, flight support, and operational services. The study classifies and counts the number of standards in each subfield, identifies key drafting organizations, and highlights critical technical directions covered by the standards as well as existing gaps. The results of this study provide decision-making references and guidance paths for government departments in policy formulation, for enterprises in technological research and development planning, and for the industry in improving its standard system.

With the rapid advancement of urban renewal, the focus of China's modernization has gradually shifted to cultivating new quality productive forces, committed to promoting the transformation and upgrading of smart construction industrial parks toward “digitalization, efficiency, low-carbonization, and sharing.” The emergence of this new concept of new quality productive forces has injected fresh characteristics into shaping urban spatial quality. By employing a difference-in-differences model to conduct comparative analysis of relevant data between 25 smart construction pilot cities and 25 non-pilot cities in China from 2019 to 2024, the study found that the total factor productivity of the construction industry played a significant positive role in the application of smart construction. It further explored the profound impact of new quality productive forces on urban renewal under the context of smart construction, effectively fostering the vigorous development and comprehensive enhancement of new quality productive forces in the construction industry.

Based on the complex architecture, heterogeneous data, poor safety and stability, and insufficient talent support encountered in the integrated development of electrical systems in the petrochemical industry, this study focuses on the construction of system standards, intelligent platforms, strengthened security mechanisms, and talent systems. It explains the key role of a unified standard system in achieving interconnected transactions and mentions the relevant paths for intelligent control platforms to enhance collaborative operation capabilities. Systematic integration can effectively improve the intelligence and operational resilience of petrochemical electrical systems.

Based on patent data related to the aviation equipment industry in the Chengdu-Chongqing region from 2015 to 2024, this study adopts a patent bibliometric approach to construct a collaborative innovation network model grounded in patent co-application relationships. From the perspectives of patent cooperation networks, technological domain coupling, and actor interaction structures, the paper investigates the structural characteristics and evolutionary patterns of collaborative innovation in the Chengdu-Chongqing aviation equipment sector.

Against the backdrop of digital transformation and industry-education integration, higher vocational colleges are confronted with new development opportunities and challenges. This article analyzes the impact of digital transformation and industry-education integration on the talent cultivation model of higher vocational colleges, and explores the innovative paths of the talent cultivation model of higher vocational colleges to adapt to the development needs of the new era. The results of this discussion provide reference and inspiration for higher vocational colleges to build an industry-education integration teaching system that meets the needs of vocational education.

This paper focuses on the application potential and challenges of AI technology in ice-snow tourism and cultural communication in Jilin Province. It analyzes the current situation and characteristics of local ice snow tourism and culture, explores the application advantages and cases of AI, examines the challenges and puts forward strategies, aiming to promote high-quality development of the province’s ice-snow tourism and extensive dissemination of ice-snow culture through AI empowerment.

The scientific and systematic nature of local government carbon emission policy systems plays a crucial role in achieving the carbon peak and carbon neutrality goals. This study constructs a policy evaluation system based on the PMC index model to quantitatively assess carbon emission policies in Hunan Province before and after the introduction of the “dual carbon” goals. The findings indicate that the average PMC index for Hunan Province’s carbon emission policies is 6.81, reflecting an overall good level. After the introduction of the “dual carbon” goals, policy quality improved significantly, with the average PMC index rising from 6.12 to 7.50. The policies perform well in terms of timeliness, functionality, and transparency, but there is room for improvement in incentive mechanisms, implementation levels, and public participation.

E-commerce platforms face challenges like fragmented user behavior and inefficient marketing resource allocation in new media. A multi-source data fusion architecture covering transactions, social platforms, and ads was built. Data from 237,000 users over 180 days was analyzed, identifying 5 user groups via K-Means and predicting conversion with 83.7% accuracy using XGBoost. Precision targeting boosted conversion by 37.3%, user lifetime value by 28.3%, ad ROI from 1:2.8 to 1:4.5, and reduced customer acquisition costs by 32.5%.

The research systematically expounds the application mechanism of full life cycle data perception and fusion technology, as well as artificial intelligence-based power generation efficiency prediction and optimization models in the field of new energy power generation. It reveals the functional mechanism of digital intelligence technology in enhancing the accuracy of renewable energy resource assessment, achieving predictive maintenance of equipment, promoting the coordinated optimization of source-grid-load-storage, effectively mitigating the volatility of power generation, and improving the level of power consumption.

In his report to the 20th National Congress of the Communist Party of China, General Secretary Xi Jinping highlighted the significance of coordinated efforts in carbon reduction, pollution control, green space expansion, and growth promotion, advocating for a strategy that emphasizes ecological conservation, resource preservation, and green, low-carbon development.This study uses bibliometric analysis and topic modeling to quantitatively examine 456 academic papers on carbon offsetting from 1995 to 2023. It employs statistical methods and programming software to visually and statistically analyze the temporal distribution of literature, funding subject areas, and the scholars and institutions involved. Utilizing the Latent Dirichlet Allocation model, the study analyzes the titles and keywords of selected documents to identify current challenges in carbon offsetting research. It also explores theories, methods, and strategies for future land use carbon offsetting, aiming to support the scientific and efficient development of increasing carbon sinks and reducing emissions.

Against the backdrop of the overlap between the dual circulation pattern and the Belt and Road Initiative, the Xinjiang Pilot Free Trade Zone, as a hub for opening up to the west, needs to achieve a technological breakthrough to connect emerging industries with markets along the routes. This paper points out three major issues: insufficient R&D investment, lack of core technological reserves among R&D entities, and unsmooth channels for scientific and technological achievement transformation, which hinder the development of emerging industries such as new energy equipment. It further proposes three practical paths: constructing a diversified funding system, strengthening technological reserves of R&D entities, and building a full-chain achievement transformation platform. This provides a reference for the Xinjiang Pilot Free Trade Zone to realize internal and external linkage development through technological empowerment, helping it serve the national dual circulation strategy and the Belt and Road Initiative.

Using the CNKI database as the source of literature statistics,CiteSpace visualization analysis software was used to conduct a graph analysis of 628 literature on cultural tourism research in Fujian Province from 1999 to 2024. The research status and development trends in the field of cultural tourism in Fujian Province were analyzed. The results indicate that the number of publications from 1999 to 2024 showed a fluctuating and increasing trend; most of the institutions conducting relevant research are universities in the eastern and southern regions of Fujian; the number of publications by each institution is generally small; and academic communities need to be formed among institutions. Tourism culture, tourism development, cultural tourism, and cultural tourism integration are the main research hotspots , among which cultural tourism integration is the main line and key direction of future research.

Guided by the “dual carbon” goals, this paper conducts research on the green transformation paths of railway diesel locomotives. By comprehensively applying literature research, case analysis, and cost-benefit analysis methods, it systematically reviews the current transformation status, deeply analyzes the core challenges in the technical, economic, and policy dimensions, and proposes three transformation paths: technological innovation, power transformation, and industrial collaboration. Through quantitative analysis, the transformation costs and benefits are clarified. The feasibility is verified by the power transformation project of the Dongfeng 4D diesel locomotive in Tangshan Locomotive Depot of Beijing Bureau Group. Finally, suggestions are provided from the policy, technology, and infrastructure levels, offering theoretical and practical references for the low-carbon transformation of the depot and the railway industry. 

Against the backdrop of global climate change and increasingly stringent resource and environmental constraints, the realization of ecological product value and the transition to a green economy are pivotal for achieving high-quality regional development. Taking Guizhou as the research object, this study employs models such as the coupling coordination degree model for “ecological product supply-green economy” and integrates the entropy weighted TOPSIS method. Based on data from six prefecture-level cities in Guizhou from 2011 to 2022, it analyzes the temporal evolution and obstacle factors of their coupling coordination. The results indicate that while the coupling coordination level between ecological product supply and green economy has continuously improved across cities in Guizhou, disparities persist. Ecological regulation service factors emerge as the primary obstacle. Based on these findings, policy recommendations are proposed to provide a “Guizhou Approach” for green transformation in ecologically fragile regions of western China.

To address new energy vehicles (NEVs) promotion bottlenecks in Chongqing’ s hilly regions and support “dual carbon” goals and rural revitalization, research shows Chongqing had 706,500 NEVs by the end of 2024 with leading charging infrastructure. Challenges: uneven charging station distribution, inefficient maintenance, insufficient government-enterprise collaboration. Countermeasures: govt-enterprise-community mechanism, optimized “30-minute charging circle”, digital maintenance & value-added services.Expected effects: fill rural charging gaps, improve user satisfaction, and provide references for similar areas.

As global climate change intensifies and China advances its “dual carbon” strategy, the synergy between building “zero-carbon islands” and low-carbon logistics transformation has emerged as a key driver for regional ecological and economic progress. Ningde City, home to 643 islands, issued a special declaration in 2023-2024 setting a 2027 target to establish a “zero-carbon island” demonstration project. This study examines the logistics sector in Ningde, analyzing current challenges including high-carbon energy structures and inadequate infrastructure. The paper proposes a low-carbon transition framework encompassing energy substitution, facility upgrades, technological innovation, and policy support. Key initiatives include promoting multi-energy complementary systems and developing smart logistics dispatch platforms. These efforts aim to provide the “Ningde Model” for green logistics in coastal island cities, offering both theoretical and practical references for implementing China’s “dual carbon” goals in island regions.

In recent years, driven by relevant national and local policies, the industrialization of traditional ethnic culture has become an important measure for economic development and ethnic unity in ethnic areas. However, in practice, it faces challenges such as low level of technological applications, poorly connected industrial chain, shortage of talents, and inadequate policy support. This study constructs a development path for the high-tech-enabled industrialization of traditional ethnic culture from the aspects of digital protection and inheritance, innovation in forms of cultural expression, expansion of market channels, industrial upgrading and integration, and talent cultivation and technical support. 

Based on the concept of green competitiveness, this paper elaborates on the significance of enhancing Guizhou's industrial parks’ green competitiveness and analyzes current challenges in energy consumption statistics and clean energy utilization. Considering the development status of Guizhou’s industrial parks and aligning with the policy orientation of “quota-based applications and provincial-level selection,” the study proposes strategic recommendations including optimizing green industrial layouts (such as the “park-in-park” model) and strengthening green technology applications (like carbon capture and resource recycling) to promote the coordinated integration of economic development and low-carbon goals in Guizhou’s industrial parks.

The industrialization of wind turbine cluster optimization technology is constrained by structural factors including the absence of trust mechanisms, immature business models, data barriers, and talent discontinuities. Based on industrialization logic and typical case analysis, this paper reveals that multi-level verification systems, ecological collaborative networks, performance-oriented mechanisms, and standardization construction constitute the core pathways for industrial implementation. Through institutionalized trust reconstruction and value distribution innovation, the technology transforms from localized verification to large-scale application, providing systematic solutions for high quality development of the wind power industry and achievement of carbon neutrality strategic objectives.

As a key field of carbon emissions, the building industry plays a crucial role in achieving the “dual carbon”goals through emission reduction. Taking Shanxi Province as the research object, characteristics of carbon emissions, and explores emission reduction paths were analyzed. The results showed that: indirect carbon emissions account for more than 95%, with the industrial sector contributing 80%; although the carbon emission intensity has decreased by more than 78%, it is still higher than the national average. Based on these findings, paths such as full life-cycle low-carbon design, low-carbon transformation of building materials production, and “electrification + green energy” in the construction phase are proposed. This study provides a basis for formulating building emission reduction policies in Shanxi Province and a reference for related research in central and western regions.

This paper delves into the pivotal role of new-quality productivity in driving the high-quality development of Heze’s county-level economy. By analyzing the theoretical connotations, characteristics, and applications of new-quality productivity in county-level economies, it systematically evaluates the current economic landscape of Heze, identifies core challenges such as technological lag, talent shortages, and structural imbalances, and proposes comprehensive strategies encompassing technological innovation, industrial upgrading, talent cultivation, and policy optimization. Combining big data analysis, case studies, and a scientific evaluation framework, the research offers actionable recommendations to enhance Heze’s economic resilience and competitiveness. It provides replicable development models for Heze and other county-level economies, assist in the comprehensive realization of the national innovation driven development strateg.

Against the backdrop of “Four-Chain” integration, regions are exploring integration pathways and methods primarily from a macro perspective. However, few studies adopt a regional micro-level viewpoint to identify breakthroughs and key points for advancing industrial development through “Four-Chain” integration, specifically in conjunction with scientific and technological functions. Starting from an analysis of the conceptual characteristics and inherent mechanisms of “Four-Chain” integration, this research combines the realities of regional economic development. It analyzes current practices and existing problems in “Four-Chain” integration, focusing on exploring the necessity and identifying specific measures and pathways for “Four-Chain” integration to drive industrial development.

The deep integration of the digital economy with the real economy has become a key driver for high quality economic and social development. While Guizhou emphasizes the growth of its digital economy, it is actively exploring agricultural digital transformation paths, particularly in smart agriculture. This article analyzes innovative models in Guizhou's agricultural digital transformation through the lens of smart agriculture. It also summarizes various challenges currently faced and proposes corresponding strategies, aiming to provide theoretical references and practical insights for agricultural digital transformation in Guizhou and similar regions.

The modernization of meteorological social services represents a concrete application of Chinese modernization in the field of meteorology, adhering to its distinctive Chinese characteristics, essential requirements, and fundamental principles. As such, Chinese modernization guides the foundational direction of meteorological social service modernization, unlocking vast prospects for its development. At the same time, the supportive and safeguarding role of meteorological social service modernization in advancing Chinese modernization has become increasingly prominent as Chinese modernization progresses.

Comprehensively implementing the new development philosophy, advancing high-quality development, and proactively building a new development paradigm are crucial to China’s current and future socioeconomic progress.Many resource-based county economies have become major drivers of economic transformation under this new framework. This study, through a SWOT analysis of Datian County in Fujian Province, proposes strategies for transforming its resource-based economy, offering insights for similar regions.

This study evaluates the implementation outcomes of industrialized renewable energy storage systems. Through integrated multi-technology solutions and standardized design, the project achieved a 60% reduction in power conversion losses, with wind and solar power integration rates exceeding 90% and response times shortened to under 3 minutes. The total lifecycle costs decreased by 20%, while the payback periods for grid-side and user-side investments were reduced to 8 years and 5-6 years respectively. A scenario-specific operational model significantly enhanced user profitability, driving energy storage systems from “technically viable” to “commercially sustainable”solutions. These advancements provide practical evidence for industrial-scale deployment and market adoption.

This article analyzes the current situation of the development of the robotics industry in Xinjiang, the practice of building an integrated industry education community, and the main problems that exist. It points out that there are still shortcomings in terms of enterprise participation motivation, vocational college initiative, government support mechanism, and multiple subject rights and responsibilities. Suggestions have been put forward to optimize top-level design, strengthen government policy support, deepen the mechanism of school enterprise collaboration in education, and establish a mechanism for sharing responsibilities and benefits, providing theoretical support and practical reference for promoting the integration of “robot+” industry and education in Xinjiang and even the western region.

“Robust Industrial Development and Urban Revitalization” represents a strategic imperative of our era. From the perspective of industry-city integration, this study establishes an evaluation index system encompassing the three core dimensions of industry, city, and people. Utilizing Principal Component Analysis and a Coupling Coordination Degree Model, it assesses the coordination level between industry and city in Shishi City from 2012 to 2021. Based on the findings, targeted recommendations are proposed to strengthen industry and revitalize the city across these three dimensions.

In the information age, the production and manufacturing of chips not only represent the country’s high tech level, but also the symbol of a country’s “soft power.” After breaking through the blockade and barriers, it is a great feat for China’s scientific research team to realize the localization of chip manufacturing. In order to effectively protect this scientific research achievement, the security protection team proposed a “chip architecturemanufacturing process-application ecology” trinity intellectual property security assessment and protection system.

The sports, culture, and tourism industry, as an integrated sector that combines sports competition, cultural inheritance, and tourism experiences, serves as a crucial vehicle for meeting people’s aspirations for a better life and facilitating regional economic transformation and upgrading. Grounded in the effects of technology empowerment, this study first outlines the developmental advantages it brings to the sports, culture, and tourism industry. Then, it delves into the core challenges currently faced by the industry and proposes targeted sustainable development paths, such as constructing a collaborative and shared digital foundation and innovating mechanisms for industry-education integration to cultivate talent. 

With the in-depth development of the digital economy, higher education institutions in Guizhou Province have been actively promoting digital transformation to enhance education quality and foster balanced regional educational development. Currently,significant progress has been made in areas such as digital infrastructure construction, innovative smart teaching,and industry-academia integration. However,challenges remain, including information silos, insufficient depth of application, and imperfect sustainable development mechanisms. Through a systematic analysis of the current situation and existing problems,this study proposes countermeasures such as strengthening top-level design, improving incentive mechanisms, increasing resource investment, and promoting the application of technology and industry academia integration to facilitate the sustainable development of digital transformation.

Against the backdrop where new-quality productive forces have become a key driver of development, Heze's rich intangible cultural heritage (ICH) faces challenges such as an aging inheritance population, limited communication channels, and insufficient industrial development. Policy support, improved digital infrastructure, and growing cultural demands of consumers have laid the foundation for new-quality productive forces to empower Heze’s ICH. To address issues including inadequate digital transformation, homogeneous products, and insufficient policy and talent guarantees, this paper proposes optimization strategies from the perspectives of technology, industry, talent, and policy, aiming to promote the innovative transformation and high-quality development of Heze’s ICH.

The study of the network structure of self-service tourism flow is an important aspect of tourism research. Based on the tourism UGC data of Xuzhou City, a tourism node tourism flow network is constructed, and social network analysis is used to explore the structural characteristics of Xuzhou City’s self-service tourism flow network from the aspects of descriptive features, centrality, structural holes. The main conclusions are as follows: (1) Xuzhou City has a rich variety of node types, with tourism routes mainly taking 1-3 days for short distance travel, with an average node number of 4.21; (2) Xuzhou Museum, Baolian Temple, Yunlong Lake, Guishan Han Tomb, Yunlong Mountain Portal Destination Node; (3) The overall network density is low, and different nodes have different positions in the tourism network of Xuzhou City. Yunlong Lake, Huilongwo, Hubu Mountain, Baolian Temple, Xuzhou Museum, and Yunlong Mountain have obvious advantages in structural caves.