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In 2020, China's poverty alleviation has made decisive achievements, and the regional overall poverty problem and the absolute poverty problem of the rural population in China have been basically solved. But when the national poverty alleviation policy is optimized and adjusted, enhancing the endogenous sustainable development capacity of poverty-stricken areas and households has become the focus of consolidating the achievements of poverty alleviation and comprehensively promoting rural revitalization. Livelihood resilience, which focuses specifically on the ability of individuals to withstand external shocks and disturbances with their own capital, is a necessary attribute for achieving sustainable development. However, previous studies paid less attention to the disturbance of social factors and the driving effect of social environmental factors on the construction of livelihood resilience. Using 518 farmer survey data from Shaanxi Province, this paper explores the mechanism by which farmers individual capital affects their livelihood resilience through ICT adoption. Statistical analysis shows that social networks are the most important factor for farmers to resist risks and develop sustainably. The empirical study finds that farmers' individual capital and ICT adoption are important variables in the construction of farmers' livelihood resilience. Specifically, the more individual capital farmers possess, the more likely they are to have higher levels of livelihood resilience. The higher the level of ICT adoption by farmers. the more they tend to have higher levels of livelihood resilience. At the same time, the impact mechanism of farmers' individual capital and ICT adoption on livelihood resilience shows an intermediary effect: individual capital use of digital technology livelihood resilience. In this path. ICT adoption partially mediates the impact of individual capital on the level of livelihood resilience, and the indirect effect of ICT adoption on livelihood resilience is greater than the direct effect, and the results are robust. Further analysis shows that there is no significant gender difference in the impact of farmers' individual capital on livelihood resilience. Compared with previous literature this paper expands on the following aspects: first, the risk factors of most previous studies on livelihood resilience are natural and ecological. In this paper, the risk scenario of livelihood resilience was extended from relatively sudden natural ecology to changes in social factors, and the construction mechanism of livelihood resilience under changes in the social environment was constructed. Second, previous studies on livelihood resilience rarely included the effects of ICT adoption. In this paper, ICT adoption is included in the relationship between farmers' individual capital and livelihood resilience. Third, most previous literature finds that ICT adoption exacerbates the digital divide between urban residents and rural residents. However, this study finds that in the face of risks, digital technology, as an external social construction, also brings about social integration, and ICT adoption essentially plays a role in the redistribution of resources and factors between urban and rural areas and between regions. An important policy implication of this study is that in terms of effectively connecting the achievements of poverty alleviation and rural revitalization, the path of individual capital-digital technology-sustainable development should be generally followed, which would improve farmers' livelihood resilience and endogenous sustainable development ability in the face of external risks. [ABSTRACT FROM AUTHOR]

The market size of smart senior care industry continues to expand then generates a series of valuable data resource. However, the degree of smart senior care data resource sharing in the country is low and not systematic, showing the outstanding problem of non-integration non-unification and non-uniform, which makes it difficult to give full play to the value of data resource, hinders the cooperation and efficiency improvement of various service subjects, and affects the satisfaction of the elderly. Therefore, it is urgent to establish and improve the governance systems of the smart senior care data resource sort out and analyze various service subjects and data involved in smart senior care. design reasonable governance structure, establish effective cooperation modes and governance mechanisms. to help all smart senior care service subjects better share data and achieve more value creation through data integration and business collaboration. Scholars have studied the framework and mechanisms of data resource governance in some fields, but there is still a lack of research on the data resource governance system in the field of smart senior care. especially how various elements collaborate in the governance framework and how to carry out scenario-oriented governance activities. In this paper, the framework of smart senior care data resource governance system is proposed based on the activity theory. And the six elements of governance subject, object. community rules, tools and division of labor are analyzed in detail. In the process of analysis. it is proposed to sort out and analyze the data resource owned by virous smart senior care service subjects based on the scene, and to build a data resource classification system including three levels of "metadata-master data-reference data". It is also concluded that the governance modes of the community will go through the development stage from the distributed mode to the centralized. to the distributed-centralized. finally to the network mode, from no-center to single-center to polycenter. At different stages. governance mechanisms such as supervision mechanism registration mechanism consultation mechanism. rights and responsibility mechanism incentive mechanism and regulatory mechanism can be built. Finally, based on the rehabilitation scenario. an activity flow chart of data resource governance from pre-rehabilitation to rehabilitation and then to after rehabilitation is constructed to guide the actual governance activities. This paper contributes to the existing literature in two aspects: first the introduction of activity theory framework can help comprehensively understand the key issues in smart senior care data resource governance. That is why to govern, who participates in governance, what need to govern and how to govern. At the same time, it corresponds to the various elements included in the activity, and carries out the collaborative analysis among the various elements. Second, different from the existing conceptual framework which emphasizes the macro-control role, this paper focuses on practice of smart senior care data governance. Starting from the current situation, this paper summarizes the governance modes and mechanisms at different stages that can be promoted and developed. and combs data resource by scene dimension and defines the division of governance. Above two contributions can enrich the smart senior care data governance theory and then explore the application field of data governance theory. The research in this paper can reveal the internal logic of smart senior care data resource governance system, help promote data sharing activities in different cooperation situations, and establish effective governance modes and mechanisms, achieve more data resource value creation, promote high-quality development of senior care services. and ultimately improve the satisfaction and happiness of the seniors. [ABSTRACT FROM AUTHOR]

Artificial Intelligence-Generated Content (AIGC) marks a groundbreaking shift in information creation, driven by advances in Al technologies like Large Language Models (LLM) and Natural Language Processing (NLP). This evolution of AIGC, with its enhanced "human-like" capabilities and creativity, is reshaping the landscape of social information and communication ecosystems. However, from a constructivist perspective, varying social and cultural environments often lead to diverse technological cognitions, potentially deepening the "cognitive distance" between AIGC's technological functionalities and practical application. This gap poses two significant risks: firstly, during the stage of AIGC popularization, public perceptions of its utility remain fluid and prone to influence, potentially leading to misinterpretations of the technology and divergent impacts of technological trajectories and societal outcomes; secondly, current examinations of AIGC lack a cross-contextual cross-platform perspective. Solely interpreting the technology within a single societal context may result in a parochial understanding, shrouded by a "cultural container", which impedes an objective assessment and grasping of the technology's universal value for humanity. Hence, deciphering the cognitive differences in AIGC perceptions across various contexts and identifying the drivers behind these variations are vital for fully releasing the positive social value of this technology. This paper conducts an in-depth analysis of AIGC discussions on Weibo and Twitter across five dimensions: topical trends, thematic modeling, theme evolution, sentiment analysis, and identification of key communicators. By incorporating quantitative analysis tools such as Dynamic Topic Modeling (DTM) and Text Impact Assessment Models, this study not only reveals the dynamic trajectory of AIGC discussions but also identifies key communicators playing pivotal roles in these discussions, offering new insights for related research. Findings indicate that on Weibo, users focus more on the economic and business values of AIGC, emphasizing discussions on the relationship between new technology and economic development, with topic evolution heavily influenced by capital, investment, and market forces. On Twitter, discussions about AIGC are more closely related to technical logic, with many cultural and industrial commentators placing greater emphasis on the technology's impact on industry, ethics, and future imaginations. The research posits that in China. AIGC discussions driven by capital and investment factors represent a situation intertwined with risks and opportunities. The opportunity lies in capital acting as a powerful social force. further accelerating the application and development of AIGC technology in China; the risk involves technology being increasingly infused with capital logic. Finally, the paper suggests that while balancing the economic value and humanistic value of AIGC, caution is needed against the "excessive" intervention of capital and the market in technology cognition and development, to prevent the technology from straying from its original intent of promoting holistic societal development. Additionally, macro-contexts are not static; future research should continue to focus on the structural changes in technology cognition and how these changes might influence the development of new technologies. [ABSTRACT FROM AUTHOR]

The application of digital technology has profoundly changed human society and has had a significant impact on labor work. The application of digital technology has given rise to a number of new types of work related to digital technology, and has also made traditional types of occupations face the challenge of digital transformation. When academics discuss the impact of digital technology applications on occupational labor from the perspective of workers" skills, there are problems such as limiting the discussion to specific groups and measuring workers' digital skills too singularly. Therefore, this paper proposes the concept of "work inclusivenes". which attempts to identify the impact of the popularization of digital skills in the labor field from the perspective of workers access to work and inequality among groups of workers. In this paper, we use data from the China Family Panel Studies (CFPS) from 2014 to 2020. and adopt the entropy method to calculate the weights of the data related to the frequency and subjective importance of different types of digital activities performed by individuals. so as to generate a variable reflecting the overall level of digital skills of workers. It is used as a independent variable to analyze its impact on workers job acquisition and labor autonomy. and its deep realization mechanism is discussed from the perspective of specific types of digital skills. The study finds that the application of digital technology lowers the threshold of learning digital skills thus promoting the popularization of digital skills; the mastery of digital skills facilitates workers' access to jobs and improves their income and autonomy, and also helps traditionally disadvantaged groups of workers participate in the mainstream work system, i.e.. the popularization of digital skills gradually realizes work inclusivenes. This process also implies the activation of the role of digital skills in entertainment and shopping scenarios in today's occupational fields, and allows urban and rural workers to enjoy the work dividend of digital skills together at the same time. Compared to previous studies in the academia, this study contributes in the following aspects: first, it comprehensively argues the general positive impact of the popularization of digital skills on workers occupational fields through the discussion of work inclusivenes from the perspective of multiple types of workers' skills: second. it argues the epochal feature that skill capitals that were not valued in the industrial era are reactivated in the digital era, which in turn benefits workers occupational development. Lastly, the relationship between digital skills and workers is placed in the context of evolution over time to analyze the dynamics of the mechanism of the impact of different types of digital skills on work inclusivenes. To a certain extent, the research in this paper demonstrates the positive effects of digital skills popularization on workers' access to work, job rewards, and job autonomy, which helps academics and the society to understand the new characteristics of workers' occupational labor in the digital era. At the same time, the study also reveals that the impact of digital technology on workers is gradually shifting from "re-skilling" to "de-skilling", thus providing a more in-depth discussion of the work dividend brought by digital skills. [ABSTRACT FROM AUTHOR]

In recent years, the problem of global warming caused by the massive emission of carbon dioxide has attracted the attention of all countries in the world. As the world's largest carbon dioxide emitter. China is under great pressure to conserve energy and reduce emissions. How to effectively control carbon dioxide emissions has become one of the important issues that needs to be solved in China's economic and social development. The digital economy is characterized by technological innovation, environmental friendliness and green development providing new opportunities for carbon emission reduction. However, the existing literature has not reached a consensus on the study of the impact of China's digital economy development on carbon emissions, and the study of the internal mechanism of China's digital economy development on carbon emissions is not deep enough, and the study of the spatial spillover effect of China's digital economy development on carbon emissions is relatively few. Based on the extended Cobb-Douglas production function, this paper analyzes the impact of digital economy development on carbon emissions by using Chinese urban panel data. The results show that the development of the digital economy can significantly reduce the level of carbon emissions, and this result is still valid after a series of robustness tests. In terms of its mechanism, digital economy can reduce carbon emissions by strengthening environmental regulation, improving human capital level and promoting industrial agglomeration. After further considering the spatial correlation characteristics of the emission reduction effect of digital economy, it is found that the development of digital economy can not only promote carbon emission reduction in the region, but also help reduce carbon emissions in neighboring regions. Heterogeneity test shows that the development of digital economy significantly reduces carbon emissions in central cities and high-innovation cities, but the carbon emission reduction effect of digital economy in peripheral cities is not significant, and the development of digital economy in low- innovation cities significantly increases carbon emissions. The development of digital economy in eastern and central and western cities has significantly reduced carbon emissions, and the carbon emission reduction effect is decreasing from the central and western regions to the eastern regions. The possible marginal contributions of this paper are as follows: first, a theoretical model is built to analyze and empirically test the impact of digital economy on carbon emission by incorporating digital elements into Cobb-Douglas production function and introducing carbon emission equation, which deepens the understanding of the relationship between digital economy development and carbon emission. Second, three intermediary variables, i. e. industrial agglomeration, environmental regulation and human capital are included, which enriches the mechanism of the impact of digital economy development on carbon emissions from a new perspective based on multiple paths. A multidimensional index evaluation system is constructed to measure intermediary variables, which can reflect the characteristics of intermediary variables more completely and comprehensively than a single indicator measurement. Third, two spatial weight matrices of adjacency and inverse distance were constructed, and bidirectional fixed effect spatial Durbin model was adopted to test the spatial spillover effect of digital economy development on carbon emissions from a more subtle urban scale. Three intermediary variables of industrial agglomeration, environmental regulation and human capital were included in the model successively, and the spatial spillover effect of different intermediary variables on carbon emissions was investigated. It provides an empirical basis for the national planning of carbon emission reduction policies. The research in this paper deepens the understanding of the relationship between digital economy development and carbon emission to a certain extent, reveals the internal logic of China's digital economy development affecting carbon emission, clarifies the path and method of carbon emission reduction, and provides theoretical support for government departments to formulate more targeted policies on digital economy development and carbon emission reduction under the constraint of "dual carbon" goal. This will help promote the development of digital economy and carbon emission reduction, and better achieve China's carbon emission reduction targets. [ABSTRACT FROM AUTHOR]

In the context of carbon neutrality, there will be a demand for green investments of 487 trillion CNY across 211 sectors in China for the next 30 years. How to use green finance to provide significant financial support for carbon neutrality and how to prevent and mitigate major financial risks in the process of achieving carbon neutrality in order to ensure the timely and smooth realization of carbon neutrality goals is an urgent and important problem that needs to be addressed. Scholars have extensively explored this issue from both theoretical and practical perspectives. resulting in groundbreaking research outcomes. This paper systematically reviews the relevant literature and latest research progress on green finance and carbon neutrality both domestically and internationally. From the perspectives of fund allocation, price discovery, and risk management the necessity and key characteristics of promoting carbon neutrality through green finance in China are analyzed. "Promoting the realization of carbon neutrality through green finance" is interpreted as a systemic project that requires private sector funding, tailored implementation according to local conditions, and involvement of various stakeholders. And we propose two paths for it, "the policy design and the financial innovation" corresponding to "top- down" and "down-top". In terms of policy research, scholars have focused on the design of policies and their impact mechanisms on carbon emissions. This includes fiscal and taxation policies (such as carbon taxes), financial support policies (including differential loan interest rates and capital market access), financial infrastructure construction policies (such as the development of green finance standards systems), and international cooperation policies (such as the Belt and Road Initiative). They generally believe that these policies can effectively promote carbon neutrality through avenues such as mobilizing social capital and mitigating information asymmetry. However, existing research has paid little attention to policies that consider regional differences, synergies, and temporal dynamics in their design. Moreover, the scope of policy effectiveness evaluation also needs to be expanded. In the field of financial innovation scholars research focuses on three areas: pricing innovation financial instruments innovation and risk management innovation. In terms of pricing innovation carbon pricing has formed a relatively mature methodological system, but further exploration is required for accurate pricing of climate risks. In terms of financial instruments innovation, certain achievements have been made in the development of green credit and green bonds to support carbon neutrality goals, while there is insufficient attention given to the design of green insurance and financing for the transition of high-carbon enterprises. In terms of risk management innovation, the management methods for climate transition risk have not yet formed a systematic framework and there is a lack of research on systemic risks, risk measurement and early warning related to carbon finance trading markets. Finally this paper provides a prospect on the path of green finance promoting the achievement of carbon neutrality goals focusing on five aspects: further optimizing the policy system improving climate-related information disclosure standards and data sharing mechanisms. strengthening the application of financial technology, enhancing attention to climate transition risks, and promoting organizational modes and innovation of green financial products. [ABSTRACT FROM AUTHOR]

In the digital cra information technology has developed rapidly and has become an important carrier for the transformation and upgrading of various service formats. Relying on information technology to innovate the elderly care service model and promote the intelligent transformation of traditional elderly care services is an important strategic choice to actively respond to the aging of the population, and the key link to accelerate its realization is to clarify the main actor of intelligent transformation and identify multiple factors affecting the willingness to transform. However, the existing literature mostly discusses the driving factors of the intelligent transformation of elderly care services from a single element, without considering the joint role of multi-level factors or specifying the specific implementation subjects of transformation, paying more attention to the post-transformation service development stage, and lacking of attention to the antecedents and processes of transformation. Focusing on the main suppliers of the current elderly care service model, this paper selects the elderly care institutions as the research objects, which has an innate advantage in the process of service intelligent transformation, applies the TOE theoretical framework to clarify the multiple drivers of transformation from technical, organizational and environmental dimensions, uses the data of 68 elderly care institutions obtained from field research and adopts the fuzzy set qualitative comparative analysis method(fsQCA) to explore the differentiated performance and linkage matching effect of multiple driving factors for the intelligent transformation of the elderly care service by institutions. The results show that there are no necessary conditions to promote the generation of high transformation willingness of elderly care institutions, the seven antecedents of technology, organization and environment dimensions are coordinated by four configuration forms under two driving types, technology- organization-environment-driven and technology-organization-driven, to promote the generation of high transformation willingness, and the more complete the antecedent conditions, the more inclined to provide intelligent services for elderly care institutions. Perceived comparative advantage is the core driving factor for the intelligent transformation of the elderly care service by institutions. Compatibility and market pull can be "equivalent replacement" with specific antecedent conditions to promote the intelligent transformation of elderly care institutions' services. Compared with previous literature, this paper has made contributions in the following three aspects: first, the research traces the related research of the intelligent transformation of elderly care services from the analysis of the smart elderly care service model and status quo to the stage of transformation intention and clearly defines the transformation subject, which makes up for the shortcomings of the existing research and broadens the research scope of smart elderly care service; Second, it breaks through the previous research perspective of exploring the driving factors of intelligent transformation of elderly care services from a single dimension, the TOE analysis framework and fsQCA were used to explore the multiple influencing factors and dynamic matching effects for the intelligent transformation of the elderly care service by institutions, which provides new research perspectives and methods for related research. Third, it is found that the multiple concurrent causal relationships that drive the intelligent transformation of the elderly care service by institutions, and there are synergistic linkage and complementary substitution effects between different antecedent conditions, which provides a differentiated path for elderly care institutions with different development stages and resource endowments to adopt information technology to promote the intelligent transformation of services. This study clarifies the main actor of the intelligent transformation of elderly care services, explores the configuration effect of multiple inducing factors for the intelligent transformation of the elderly care service by institutions, reveals the deep-seated driving mechanism of multiple equivalent paths for the intelligent transformation of the elderly care service by institutions, and provides an important reference for stimulating the intelligent transformation of the elderly care service by institution, exploring suitable transformation paths, and accelerating the intelligent upgrading of elderly care service system. [ABSTRACT FROM AUTHOR]

The carbon peak and neutrality have became an important goal of our economic development and social transformation. Meanwhile it also puts forward new requirements of our national governance system and governance capacity. Chinese ecological civilization construction has entered a critical period from quantity to quality change. The legal system for collaborative governance of pollution reduction and carbon reduction is an important measure to achieve carbon peak and carbon neutrality in China and also it is the core of promoting the modernization of national system and governance capacity. Considering the reality of China's current ecological environment and economic development, the generation of greenhouse gases and environmental pollutants has a certain homology. It is reasonable and scientific that "we take the realization of pollution reduction and carbon reduction as the overall focus". From the perspective of structural functionalism the legal protection of coordinated governance of pollution reduction and carbon reduction involves four dimensions: value concept legislation law implementation and multiple participation. This article focuses on the "dual carbon goals and the realistic state of Chinese collaborative governance of pollution reduction and carbon reduction. Meanwhile, the applicability of structural functionalism analysis method is fully analyzed in this research. Starting from the normative logic of law, this paper takes the structural functionalism analysis method as the approach and emphasizes the systematic idea. With the help of AGIL schema analysis. we comprehensively examine the problems such as the lack of architecture discrete functions and insufficient power in the collaborative governance of pollution and carbon reduction from the perspectives of vertical differentiation and horizontal exchange. And then this paper tries to integrate the separated social entities in the collaborative governance of pollution reduction and carbon reduction. On the basis of clear principles, we should establish a legal and policy system for coordinated governance of pollution reduction and carbon reductions perfect the law enforcement mechanism of combing hardness with softness: promote the grid based multi governance pattern. These are expected to provide legal guarantee for the realization of the synergy between pollution reduction and carbon reduction. Compared with previous studies, this article expands on the following three aspects. Firstly, the research focuses on the legal guarantee of the collaborative governance of pollution reduction and carbon reduction under the background of "dual carbon" goals. Based on the synergistic mechanism of pollution reduction and carbon reduction. it also pays attention to the trend of our economic development and environmental rule of law. Then, the structural integration of pollution reduction and carbon reduction can be used to optimize the corresponding system functions. Secondly, the research perspective is innovative. In this paper, the structural functionalism analysis method is used as an approach. Through AGIL schema analysis, we try to explore the concrete path to promoting the legalization of the collaborative governance of pollution and carbon reduction. Thirdly, the systematic thinking is emphasized. This paper abandons decomposition rationality and bases on systematic thinking. It emphasizes the consideration of "position-role", and then the paper systematically analyzes the structure and function of each element in the legal guarantee system of the collaborative governance. To some extent, the study of this paper responds to the national "dual carbon" goals and meets the need of the times of Chinese-style modernization construction; it provides a new view to solve the practical problems of collaborative governance of pollution reduction and carbon reduction and builds a systematic program of collaborative governance of pollution reduction and carbon reduction under the rule of law. This research has an important practical significance for realizing the "dual carbon" goals, and it also provides theoretical guidance for national governance system and governance capacity building. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is reconstructing the educational space and activity process, profoundly transforming the learning, living and thinking modes of teachers and students in the field of higher education. Higher education bears the mission of cultivating high-end talents for the country and society, and the Al-driven transformation of higher education is a global trend. The role and impact of artificial intelligence on higher education have attracted much attention. However, higher education institutions are still in the early stages of applying Al in education at this stage. and existing literature lacks a comprehensive analysis of how Al empowers higher education and its application scenarios. This paper explores the sustainable development and promotion path of higher education in the intelligent era through a holistic and coherent analysis of Al empowering higher education. First of all, based on the empowerment theory, along the line of "goal-means-agent-scenario", it clarifies the logical path of Al empowering higher education, and discusses trustworthy Al as a key engine empowering higher education, interacting continuously with educational scenarios to support the construction of a powerful country in higher education. Secondly, from the perspective of "students-teachers-campuses", it analyzes the typical scenarios of Al empowering higher education. Empowering students is reflected in learning support, life support and career support. Empowering teachers focuses on academic research, instruction and professional development. Empowering campuses mainly focuses on discipline construction. education management and environment improvement. Finally, it explores the practical approaches of Al empowering higher education from the perspectives of value orientation, digital competence, scenario-driven, social experiments, etc., in order to promote the standardized and orderly integration of Al into higher education ecology. This paper expands on three aspects compared to previous literature. Firstly, it combs out the basic logic of Al empowering higher education based on the empowerment theory, and argues that the core essence of Al empowering higher education lies in the continuous interaction and evolution of technology and corresponding educational scenarios. clarifying the pre-requisite questions such as "why empower". "with what to empower", "for whom to empower", and "how to empower". Secondly, it combines rich practical cases to analyze typical scenarios where Al empowers students, teachers, and campuses. Lastly, in response to challenges encountered during the process of integrating Al into specific educational scenarios, it proposes practical directions such as clarifying value orientations. enhancing digital competence, strengthening scenario-driven approaches and conducting social experiments. This paper, to a certain extent reveals the internal logic and practical direction of how artificial intelligence empowers higher education. Based on the empowerment theory, it thoroughly explores the goals. means, agents. and scenarios of Al empowering higher education, and proposes corresponding practical strategies based on potential challenges. It can provide valuable guidance and reference for facilitating the standardized and orderly integration of Al into the higher education ecology. [ABSTRACT FROM AUTHOR]

Teaching students in accordance with their aptitude is a millennium dream of education and personalized cultivation of college students is an important content and foundation to achieve this goal. Data-driven personalized educational evaluation is an effective tool to measure the quality of talent training, and it is an inevitable requirement to adapt to the development of the artificial intelligence era. Traditional student evaluation mainly relies on the manpower of teachers and experts, which may cause problems like difficulties in data collection, too many links in the evaluation process, coarse-grained indicator data and low real-time current situation effect. And it is difficult to cope with the large number of students, process, all-round. and personalized development evaluation. Starting from the perspective of artificial intelligence empowering higher education and based on reviewing the current status of personalized educational evaluation for college students, this paper proposes a human-machine collaborative personalized educational evaluation method for college students. The core is to give full play to the advantages of the new generation of artificial intelligence technology. The interaction and collaboration between humans and artificial intelligence can not only effectively combine the advantages of human experts in high-order thinking such as abstraction and reasoning with the capabilities of machines in data computing, storage, processing and search but also enable comprehensive collection of multi-level. fine-grained and process-oriented data. Furthermore, it allows for the establishment of a human-guided. data-driven and human-machine collaborative evaluation method. achieving rapid. efficient comprehensive, and accurate personalized educational evaluation for large-scale student groups. Then it expounds the practical path of the human-machine collaborative personalized educational evaluation method for college students, which is specifically manifested in clarifying the evaluation standards through the human-machine co-construction of the educational evaluation index system and then using the human-machine collaboration model to implement the evaluation. Finally, from the perspectives of data collection. technology application index construction and human-machine collaboration four typical application cases in the context of personalized educational evaluation for college students were presented. These include personalized educational evaluation for college students online learning based on convolutional neural network technology. personalized knowledge evaluation for college students based on an ensemble knowledge tracking framework. personalized cognitive and emotional evaluation for college students based on multimodal perception technology, and personalized evaluation of college students' daily behavioral habits based on graph convolutional network technology.Compared with the existing researches, this paper expands in the following two aspects; first, it proposes a method and path for human-machine collaborative personalized educational evaluation, clarifies the relationship between humans and intelligent machines, the construction method of the evaluation index system, the modes of human- machine collaboration, and the development pathways, providing a reference for personalized educational evaluation of college students in the new era. Second, combined with the analysis of the four typical cases of personalized educational evaluation for college students in the higher education field, this paper validates the effectiveness of the human-machine collaborative personalized educational evaluation method by using convolutional neural networks. integrated knowledge tracking, multimodal emotion perception, and graph convolutional neural network technologies. The research in this paper, to some extent, points out the direction for the realization of data-driven personalized educational evaluation in the era of artificial intelligence. The educational evaluation index system co-constructed by humans and machines is the primary content of personalized educational evaluation, and the implementation evaluation of human-machine collaboration is a key part of personalized educational evaluation. The personalized educational evaluation of human-machine collaboration in education possesses data-driven, objectivity, and comprehensive standards, intelligent means all-weather, and extended service capabilities, which can significantly enhance the efficiency and quality of evaluation. It is a crucial means for the success of educational evaluation reform in the new era and an effective approach to realizing the modernization of educational evaluation. [ABSTRACT FROM AUTHOR]

Objective A bibliometric analysis of the literature related to stroke and the blood-brain barrier was conducted to obtain a research map, explore hotspots and trends, and provide references for clinical treatment and research. Methods The literature related to stroke and blood-brain barrier from 1 January 2001 to 28 February 2023 was explored in the Web of Science core database. Using bibliometrics, CiteSpace V6.1.R6 was used to analyze the distribution of years, countries/regions, research institutions/system, authors, publications, cited literature, keywords and research trends. Results A total of 5028 papers were included after screening, with an overall upward trend in the number of published papers. The United States had the most research on this topic, followed by China’s mainland and Germany. Most of the top 10 research institutions/system were from the United States, France and China, with strong collaboration between countries/regions and research institutions/system. Among the authors, Chopp Michael from the United States ranked first with 49 papers. Among the research trends, ischemic stroke, miR-126 in non-coding RNA, blood-brain barrier dysfunction and drug delivery were the hot spots in the last three years. Conclusions Blood-brain barrier and stroke are inextricably linked. The dysfunction and repair mechanism of blood-brain barrier during stroke, the circulation biomarkers released by blood brain barrier and the use of blood-brain barrier opening time to increase drug absorption are worthy of further study [ABSTRACT FROM AUTHOR]

A prediction model is a statistical model used to predict the probability of an individual with a target event or to predict the outcome value. Visualization of prediction model results is an essential part of the whole process of developing a prediction model. A good presentation of a prediction model can not only make the prediction results more readable and interpretable, but also determine its use and convenience to a large extent. This paper provided a detailed introduction to various forms of prediction model presentation and reported their advantages and disadvantages. Combining clinical prediction model research on cerebrovascular disease, this paper introduced the application of each presentation in cerebrovascular disease research through research examples. [ABSTRACT FROM AUTHOR]

Data classification and grading is the foundation for ensuring the safe circulation of data and promoting the release of data value. This paper focuses on the key task of government data classification and grading in digital reform. Using a theoretical case study method and based on publicly released plans by various provincial governments and ministries, the implementation of government data classification and grading in China is systematically sorted and quantitatively analyzed. This paper summarizes four key processes and five characteristics of the implementation of government data classification and classification in China. Based on the special complexity of the classification and grading of government data, this paper puts forward four problems corresponding solutions in the implementation of the classification and grading of government data in China, such as unclear overall target positioning, different classification and grading objects, separated classification and grading relations, and different security grading standards. Based on the practice of classification and grading government data of a national ministry, this paper verifies the scientificity and effectiveness of the solutions, and provides a reference for constructing a unified national government data classification and grading system. [ABSTRACT FROM AUTHOR]

Building a high-quality big data resource platform for the government is an important basic project to realize the integration of government information across departments, regions and levels, accelerate the construction of digital government and improve the digital intelligence level of public services and social governance. Firstly, this paper reviews the development of China's E-government and summarizes the three construction mode and main problems of traditional big data platforms, i.e., low data freshness, poor data consistency, difficult business collaborative management, weak basic support and high overall investment. Secondly, this paper conducts a case study on the credit information resource management platform in Jiangsu and explains the reasons for using Jiangsu case as an example. This paper proposes corresponding solutions and overall architecture design for the problems existing in traditional construction models as well as four reference value of Jiangsu case. Finally, based on summarizing the research and practical experience in Jiangsu, five suggestions are summarized to provide a reference for various provinces to study and formulate policy documents, such as provincial government big data platform construction guidelines. [ABSTRACT FROM AUTHOR]

News recommendation system plays an important role in news dissemination of new media. This paper proposed a recommendation system based on deep reinforcement learning, which aimed to combine the representation ability of neural network and the strategy selection ability of reinforcement learning to improve the effect of news recommendation. This paper used dynamic action masks to enhance the ability of judging the short-term interests of users, used the optimization cache mechanism to improve the efficiency of experience cache use, and accelerated model training through the reward design of regional masking nature to improve the performance of the recommendation system in the field of news recommendation. Experimental results show that the accuracy of the proposed model in news data sets is comparable to the current mainstream neural network recommendation methods, and its ranking performance is better than others. [ABSTRACT FROM AUTHOR]

Uric acid (UA), the final product of human purine metabolism, can cause hyperuricemia (HUA) when excessively accumulated. HUA is closely linked to chronic kidney diseases (CKD) and is considered an independent risk factor. Hyperuricemic nephropathy, a form of CKD induced by HUA, has seen significant advances in understanding through research into the pathogenic roles of uric acid and the development of HUA animal models. Although progress has been made in understanding the pathophysiological mechanisms by which UA induces CKD, much remains to be learned about its pathological molecular mechanisms. New approaches in animal modeling or the selection of model animals may potentially lead to significant breakthroughs in research on hyperuricemia as well as related CKD. This paper reviews the research progress on the molecular mechanisms of hyperuricemic nephropathy, focusing on oxidative stress, inflammation, autophagy, fibrosis, and gut microbiota. Oxidative stress is induced by uric acid intracellularly through xanthine oxidase, NADPH oxidases, and mitochondria, leading to cellular damage. In terms of inflammation, uric acid crystals can activate the NLRP3 inflammasome, triggering an inflammatory cascade. The role of free uric acid as a pro-inflammatory agent, however, remains controversial. Depending on the study conducted, autophagy has been found to either alleviate or exacerbate inflammation induced by uric acid. Fibrosis, particularly through epithelialmesenchymal transition (EMT), is a major mechanism by which uric acid causes glomerulosclerosis and tubulointerstitial fibrosis. Extensive research has explored various signaling pathways involved in uric acidinduced EMT. Beneficial gut microbiota protect the kidneys by synthesizing short-chain fatty acids, reducing urea’s enterohepatic circulation, and decreasing uric acid production. This paper aims to enhance understanding of the complex relationships between HUA and CKD, serving as a reference for further research and new drug development. [ABSTRACT FROM AUTHOR]

The 2023 China Health Report on Spine Degeneration noted a significant increase in lumbar surgery among patients under 35 years old in recent years, indicating a trend towards younger onset of cervical and lumbar diseases. Lumbar intervertebral disc herniation has become a major concern, making the study of disc degeneration pathogenesis and treatment methods clinically significant. At present, human intervertebral disc diseases are primarily diagnosed through imaging due to the challenges of obtaining tissue samples from the spine. Therefore, experimental animals have emerged as alternative research subjects because they are cost-effective, have short experimental cycles, and are easily accessible. Given the structural and physiological differences between human and other animal intervertebral discs, comparing their anatomy and histological characteristics forms the foundation of research into human disc degeneration. The purpose of this paper is to collect and review relevant studies on anatomical and histological structures of intervertebral discs in different animals and conduct a comparative analysis from four aspects, namely, intervertebral disc height, lumbar disc geometry, lumbar disc cartilaginous endplate characteristics, and extracellular matrix components. The results show that humans, kangaroos, sheep, pigs, and rats exhibit similar relative heights between the sixth and seventh cervical vertebrae. Mice possess lumbar disc geometries most akin to humans. Compared to other animals, humans have the thickest cartilaginous endplates and the lowest cell densities. The collagen within the fibrous annulus differs most notably in pigs compared to humans, while water content in the nucleus pulposus is consistent across pigs, sheep, rabbits, rats, and humans. Additionally, this paper describes the commonalities and discrepancies in disc degeneration manifestations between humans and animals, and summarizes modeling methods for disc degeneration in different experimental animals. Ultimately, the aims of this paper is to provide fundamental data for selecting suitable experimental animal models for the study of intervertebral disc degeneration. [ABSTRACT FROM AUTHOR]

[Objective]. The aims of this article are to intuitively grasp the progress and hotspots in the field of research of gully erosion in the northeast of China black soil region, advance the development of research in gully erosion in the black soil region of northeast China. [Methods] 245 papers in CNKI and Web of Science databases were used to create a knowledge map of gully erosion in the black soil region of northeast using the bibliometric method and CiteSpace software. [Results] (1) Research on gully erosion in black soil area started late, and the number of published papers has increased significantly in the past 10 years, but the results published in international journals are few, accounting for only 26%. (2) The research institutions in this field mainly distribute in northeastern China, of which several institutions include Songliao Basin Committee of Ministry of Water Resources, Beijing Normal University, Northeast Institute of Geography and Agroecology of Chinese Academy of Sciences, Northeast Agricultural University, and Shenyang Agricultural University have made the outstanding contributions and shown the great influence in the field; Prof. Zhang Shuwen is the scholar with the most publications in Chinese, and Prof. Liu Baoyuan and Wu Yongqiu are the scholars with the most publications in English in this field. (3) The co-occurrence of keywords between the published literatures indicates that the current focus of attention on gully erosion in the black soil area of northeast China is mainly on the development characteristics, influencing factors and prevention and control measures of gully erosion. [Conclusion] The comprehensive research framework and a full understanding on gully erosion in the black soil region of northeastern China have not yet been established. In future research, there is a need to further emphasize the study of the formation and development processes and mechanisms of gully erosion in the black soil region of Northeastern China, and to conduct in-depth analyses of the influences of geological, topographical, hydrological, and human activities, among other factors. [ABSTRACT FROM AUTHOR]

[Objective] This paper reveals the spatiotemporal changes of vegetation in different ecosystems in Shaanxi Province, clarifies the influence mechanisms of different climatic factors and their interactions on the changes of vegetation, and provides a theoretical basis for regional ecological environmental protection. [Methods] Based on MODIS NDVI and annual average high temperature, annual average low temperature, annual average temperature, and annual total precipitation data, this paper analyzed the spatiotemporal variation characteristics of vegetation NDVI in each landscape partition from 2000 to 2020 by Theil-Sen Median trend, partial correlation, and geodetector, and the internal correlations and response mechanisms of vegetation NDVI changes with precipitation and temperature were investigated by combining variable separation. [Results] Vegetation NDVI in Shaanxi fluctuated and increased from 2000 to 2020 at a rate of 5.9%/per decade, among which the rate of vegetation NDVI decreased in the different landscape in the order: Northern Shaanxi＞Guanzhong＞Southern Shaanxi.The multi-year vegetation NDVI value of the province was 0.71, with high level in the south and low level in the north. Vegetation NDVI in 67% of the regions showed a significantly improved trend during the study period, and the proportion in different landscape decreased in the order: Northern Shaanxi＞Southern Shaanxi＞Guanzhong. The climate factors fluctuated over time in Shaanxi from 2000 to 2020, the change rates in different landscape decreased in the order: Shaanxi South＞Guanzhong ＞Shaanbei. The spatial trends of temperature factors showed the decrease in annual average high temperature, the increase in annual average low temperature, and the decrease in annual average temperature, and the increase in precipitation. The overall vegetation NDVI of Shaanxi and each sub-district from 2000 to 2020 was negatively correlated with annual average high temperature and positively correlated with annual average low temperature, annual average temperature, and annual total precipitation. The contribution of annual total precipitation was greatest in the province and northern Shaanxi, and the contribution of annual average high temperature was greatest in Guanzhong and southern Shaanxi. The interaction of annual average high temperature and total annual precipitation had the strongest influence on vegetation NDVI in the province, northern Shaanxi and southern Shaanxi, and the interaction between annual mean temperature and total annual precipitation had the strongest effect on vegetation NDVI in Guanzhong. The interaction of of precipitation with maximum and annual average temperatures significantly influenced the vegetation NDVI changes. [Conclusion] The vegetation in Shaanxi and the sub-regions had became better overall during the study period. The vegetation in each sub-region responded differently to climate, and the contribution of each factor and its interactions also differed. [ABSTRACT FROM AUTHOR]

Macrophages have strong plasticity and heterogeneity, and can undergo functional transformation in response to different signal stimuli, such as classical activation of M1 type (M1 type polarization) and selective activation of M2 type (M2 type polarization). The pathways of macrophage M1/M2 polarization are quite extensive, involving nuclear factor-κB (NF-κB)/mitogenactivated protein kinase (MAPK) signaling pathway, interleukin-4 (IL-4)/signal transduction and activator of transcription 6 (STAT6) signaling pathway, Notch signaling pathway, Wnt/β-catenin signaling pathway, etc. At the same time, M1/M2 polarization of macrophages is also regulated by exosomes, metabolites, non-coding RNA, electrical stimulation, probiotics, etc., and its imbalance is closely related to the occurrence and development of different types of liver disease. In this paper, the mechanism of its polarization was reviewed, and it was found that M1 polarization of macrophages played a promoting role in the process of liver tissue injury, inflammation and fibrosis, while M2 polarization of macrophages played the opposite role. Among them, hepatocellular carcinoma, as the advanced stage of chronic liver disease, was characterized by increased M2 polarization and impaired M1 polarization of macrophages. Therefore, this paper pays attention to the role of M1/M2 polarization of macrophages in different types of liver diseases, in order to better establish the targeted therapy of macrophage subsets. [ABSTRACT FROM AUTHOR]

Local entrepreneurialism provides an important theoretical perspective for the study of economic growth-oriented local governance after the 1980s. This theory originated in the revival of economic liberalism following the Western economic crisis. Influenced by global urbanization and deregulation, cities have been redefined as important scales of spatial governance. Local governments have abandoned "managerialism," which emphasizes regional equilibrium, and turned to "entrepreneurilism", which emphasizes local wealth accumulation, weakening the welfare state system and emphasizing absolute gain. Since the economic reform was launched in 1978, China has experienced a transition from state socialism, conceptualized as a triple process of decentralization, marketization, and globalization. The logic of local government behavior underwent profound changes during the transition. Local governments are increasingly showing behavioral characteristics that originally belonged to enterprises. These local governmental acts create the economic miracle and unique spatial phenomenon of the "Chinese paradigm," widely called "local entrepreneurialism." With the critical period of urbanization, exploring effective ways to improve local governance capabilities has become an important topic of concern for all sectors of society. Sorting out the rise and development of the theory about local entrepreneurialism, this paper seeks to construct an analysis framework for local entrepreneurialism in China by integrating the notions of strategy, discourse, and fashion. Furthermore, this paper proposes the "Chinese characteristics" of local entrepreneurialism by reviewing specific strategies adopted by local governments with multiple identities or acting as different roles, namely the owner of public (land) resources, the user of administrative resources, the urban manager, and the allocator of development rights. Therefore, the following conclusion were drawn: (1) Compared with the extensive participation in the Western system, China's local entrepreneurialism involves more administrative intervention, and all localities play a leading role in local entrepreneurial practice by virtue of their monopoly rights. (2) Although decentralization reform endows local governments with certain powers and responsibilities, state intervention still exists. The goal of an entrepreneurial strategy is to safeguard state powers. (3) In the new stage, the connotation and external form of local entrepreneurialism are expanding. Economic growth is no longer the primary theme of local development. How to pay attention to efficiency and fairness has become an important topic at present, and we argue that the sustainability of local entrepreneurial strategies and their impact on rural governance might be key research directions for future studies. This study aimed to provide a reference for the transformation of governance in this new era. [ABSTRACT FROM AUTHOR]

In this paper, we study in Rhizocarpon Ramond ex DC. species by the method of combining phenotypic characteristics (morphology, anatomy and chemistry) with genotypic characteristics (ITS sequence). The aims of this present paper are to clarify the status of some species and explore the relationship between phenotype and genotype in Rhizocarpon. During the study on Rhizocarpon species from southwest China, R. sichuanense Y. M. Zhang, L. Hu & W. C. Wang sp. nov. is described as a new species in this genus. The new species is morphologically similar to R. cinereonigrum Vain and R. sinense Zahlbr., which also produces brown thallus, medulla I-, 8-spored ascus and brown ascospores with 1-septa. But it can be distinguished by the scattered, areolate to subsquamulose thallus, a distinct black prothallus, large ascospores are [(27-)32-42.5] μm × [12.5-17.5(-20)] μm and the presence of barbatic acid is in the thallus. In phylogenetic trees, it is also similar to R. badioatrum (Flörke ex Spreng. ) Th. Fr. which can be distinguished by the more continuous thallus with diffractaic acid or without secondary products, and the smaller spores [(23-36) μm ×(13-16) μm] than this new species. The phylogenic results are as follows: (1) The new species R. sichuanense belongs to badioatrum group which belongs to Rhizocarpon subg. Phaeothallus; (2) It is unsuitable to classify some groups only based on anatomical characteristics (spore size and separation type) in Rhizocarpon, the chemical characteristics should also be considered. In this paper, the achievement of ITS sequences provide the basic data for an establishment of a more reasonable and natural classification system. In addition, we provide high resolution pictures of morphological, anatomical and chemical characteristics as well as detailed descriptions of the new species. The key to the species of Rhizocarpon subg. Phaeothallus with 1-septa brown spore (Badioatrum group) in the world is also provided, which will provide basic data for the further studies in this group. [ABSTRACT FROM AUTHOR]

Realizing the common prosperity of farmers and rural areas is the most difficult and heavy task in China, which means that strengthening and innovating rural governance will undertake more goals and tasks to achieve common prosperity. Therefore, it is necessary to build a community of rural governance from the perspective of common prosperity to achieve a high degree of unity between common prosperity and effective governance in rural areas. However, the existing research has rarely taken common prosperity as the breakthrough point and carried out the research on rural governance community from this perspective, especially the research attention on how common prosperity guides and promotes the construction of rural governance community and how the construction of rural governance community can effectively promote common prosperity is not enough. Firstly, this paper analyzes the internal relationship between the realization of common prosperity and the construction of rural governance community, and finds that realizing common prosperity is the basic premise and value orientation in the construction of rural governance community, while the construction of rural governance community is the realization and essential requirement of common prosperity, which shows the internal coupling relationship between the two ways and purposes of mutual realization. Secondly, based on this internal relationship, we can find that the foundation of the internal unity of the Marx's community thought and urban-rural relationship theory is its theoretical origin, the realistic guidance of the internal unity of Xi Jinping's Thought on socialism with Chinese characteristics for a new era's common prosperity thought and rural governance thought is its theoretical innovation, and the contemporary sublimation of “Great Harmony” and rural governance thought in Chinese excellent culture is its theoretical foundation. Finally, on its implementation path, we need to strengthen Party building and strengthen the “connotation” and “extension” of coordinating the rural governance community, to develop rural collective economy to build the material foundation of rural governance community, and to improve the rural governance system of “Three Governance Integration” and the governance mechanism of rural governance community. Besides, we need to actively promote urban-rural integration and activate the endogenous motivation of rural governance community. Compared with the previous literature, this paper expands in the following two aspects:first, it combs the internal relationship between the realization of common prosperity and the construction of rural governance community, and clarifies the theoretical premise of in-depth discussion of rural governance community and its construction from a new perspective of common prosperity. Secondly, in the analysis of theoretical logic, it pays attention to the basic principles of Marxism and its combination with China's reality and Chinese excellent traditional culture. Instead of thinking about the governance community in the rural category, it innovatively discusses the rural governance community and its construction from the overall situation of urban-rural integration based on economic relations and the basic trend of rural governance modernization. The research in this paper may enrich and expand the theoretical horizon of the study of rural governance community to a certain extent, reveal the internal relationship between common prosperity and rural governance community, help relevant departments in China to provide ideas and references for policy making in rural governance practice at present, promote rural governance effectively and solidly promote farmers' common prosperity in rural areas. [ABSTRACT FROM AUTHOR]

In the digital age, Internet use has become important for relative poverty governance and common prosperity in China. “Internet + targeted poverty alleviation” is an essential boost to poverty alleviation that has experienced empirical tests. Academics have also paid attention to the poverty reduction effect of Internet use. On the one hand, existing studies mainly focus on its effect in rural areas, while relative poverty exists widely between urban and rural areas. Therefore, further comparison of the urban-rural differences in their poverty reduction effect is necessary. On the other hand, promoting capital accumulation is the fundamental mechanism of the poverty reduction effect of Internet use, which academics have poorly analyzed. Using the Chinese General Social Survey(CGSS)data in 2017, this paper uses the moderating effect, mediating effect, moderated mediating effect, and threshold effect models to examine the poverty reduction effect of Internet use and the urban-rural difference in its capital accumulation mechanism. The results find that Internet use can alleviate the relative poverty of individuals and has a more significant effect on rural residents than urban residents. Moreover, the results remain robust after overcoming the endogeneity problem using the instrumental variables model. Further mechanism analysis reveals that Internet use can transform online resources into offline human, social, and economic capital, thus alleviating relative poverty. Among them, the poverty reduction effect of human capital accumulated by Internet use is stronger for urban residents, and the poverty reduction effect of economic capital is more substantial for rural residents. Meanwhile, there are threshold conditions for human capital, economic capital, and social capital for the poverty reduction effect of Internet use. Furthermore, there are urban-rural differences in the threshold values. The contribution of this paper to the existing research lies in the following aspects: first, it places urban and rural residents in the same framework and uses different poverty measurement criteria to compare the differences in poverty reduction effects generated by Internet use. Second, to break the dichotomy method used in previous poverty studies, this paper pays more attention to the relative characteristics of relative poverty, takes the difference degree between individual living standard and average level as the index of relative poverty measurement, and generates the variable of relative poverty depth, which is an innovation of poverty measurement. Third, it reveals that the accumulation effect of capital(economic, social, and human capital)generated by Internet use is the fundamental poverty reduction mechanism and further analyzes its urban-rural heterogeneity and threshold conditions. The results suggest that, on the whole, Internet use has a more significant poverty reducing effect on rural residents than on urban residents. Thus vigorous development of Internet infrastructure in rural areas remains an important initiative for future relative poverty governance. The accumulation of human capital is the fundamental mechanism of Internet poverty reduction, warning us to pay attention to enhancing human capital. The top priorities for future poverty governance are relatively poor residents in urban areas and relatively poor “marginal” populations in rural areas. [ABSTRACT FROM AUTHOR]

To build a new development pattern with the domestic cycle as the main body and the international and domestic dual cycles reinforcing each other, it is necessary to take the expansion of domestic demand as a strategic basis, and the expansion of household consumption is an important part of it. By realizing people-centered urbanization, the new urbanization construction has promoted the release of residents' consumption potential from both supply and demand aspects, and provided a driving force for China's economy to effectively expand domestic demand. However, there is a lack of empirical analysis of the relationship between new urbanization and residents' consumption potential at the macro level. Based on the panel data of 280 cities in China from 2007 to 2019, this paper empirically studies the impact of new urbanization construction on the release of residents' consumption potential on the basis of measuring the level of new urbanization construction and residents' consumption potential, and analyzes its mechanism from the supply and demand sides of the consumer market. The study finds that the new urbanization construction can realize the expansion and upgrading of the consumer market on the supply side, promote the increase of residents' income and the improvement of consumption security on the demand side, and then fully release the consumption potential of residents. This result still holds after a series of robust tests and treatment of endogeneity problems. Further analysis shows that the new urbanization construction has a stronger effect on the release of residents' consumption potential in the eastern and northeast regions, and at the same time, the degree of industrial agglomeration and the level of digital economy development also have a positive moderating effect on the release of urban residents' consumption potential. The results of nonlinear analysis show that the release effect of new urbanization on the consumption potential of urban residents is gradually amplified, and with the improvement of the level of new urbanization, its release effect on the consumption potential of residents also gradually increases. Compared with previous studies, the marginal contribution of this paper is mainly reflected in the following three aspects: firstly, from the perspective of research, the logical framework of new urbanization construction to release residents' consumption potential is constructed from the supply and demand sides of the consumer market, and the urbanization construction is linked to consumption growth, and how to rely on urbanization to release the strategic potential of residents' huge consumption. Secondly, in terms of measurement methods, the index system of new urbanization construction level is constructed from five aspects: population urbanization, economic urbanization, social urbanization, resource spatial intensification, and urban-rural integration, besides, the level of new urbanization construction is measured, and the consumption potential index system of residents, consumption willingness and consumption environment is designed from the three dimensions of consumption capacity, then the consumption potential of residents is measured, This method is more direct and specific than that of DID, which uses a simple 0-1 variables. Thirdly, in terms of data use, a number of medium and micro databases such as the city panel database, the industrial enterprise database, and the macroeconomic and real estate database of the State Information Center are used, and the data is more abundant and reasonable. This paper reveals the key role of urban development and industrial support in unleashing the consumption potential of residents, and puts forward policy suggestions such as diversifying consumption scenarios, supporting micro, small and medium-sized enterprises, improving the social security system, and optimizing the industrial structure, which is conducive to the further improvement of the new urbanization strategy in the future and provides a policy starting point for giving release to the potential of the domestic market. [ABSTRACT FROM AUTHOR]

Urbanization construction has always been one of the key development directions in China, and the process of urbanization faces many risks and challenges. In the context of complex and diverse urban risks, major public health risks are one of the most significant ones in terms of impact and destructive power. The outbreak of the COVID-19 at the beginning of 2020 has evolved from a public health event to a global economic and social crisis, reflecting that China has room for further improvement in the prevention and control system of major public health risks, and the modernization of urban governance has a long way to go. It is urgent to explore the establishment of a comprehensive prevention and control system for major public health risks in cities that is in line with the process of urban development in China. The general theoretical research on risk governance in the academic community is relatively rich. The research on the public health risk prevention and control system was mainly concentrated before 2010. After the outbreak of COVID-19, China's research on major public health risk governance was once again valued by the academic community. However, the existing research is generally decentralized and fragmentation, without forming systematic theories and views. Compared to previous studies, this article focuses on the development and evolution of major public health risks, integrates the concept of “full cycle management” and dynamic prevention and control, and takes the formation of comprehensive and full cycle closed-loop management as a breakthrough and innovation. It sorts out the theoretical framework of urban major public health risk assessment and decision-making mechanisms, breaks through the limitations of existing risk governance, and achieves full cycle coordination and full process integration, To ensure the lives, health, and social stability of the people, and provide directional inspiration for further improving the governance level of major public health risks in China. Based on the background of “risk society” and the principle of risk early warning, this paper follows the process of risk occurrence and puts forward the connotation of major urban public health risks in this paper on the basis of defining relevant concepts. Guided by the concept of “full cycle management”, combined with the 4R crisis management theory, risk management theory, and holistic governance theory, the dynamic core awareness throughout the entire risk prevention and control process is integrated to construct a theoretical framework for the dynamic prevention and control of major public health risks throughout the entire process. Based on the actual situation of social gatherings, the structural and functional characteristics that should be possessed in the dynamic prevention and control of major public health event risks throughout the entire process are determined. From the perspectives of “ considering system as the core” and “risk as the main line”, this paper makes a unified top-level design plan, exploring the practical path of constructing a risk assessment system that includes risk identification, risk assessment, risk assessment, and decision support, as well as a risk control mechanism that includes emergency response and normalized control, and designs a major urban public health risk control mechanism, which transforms from traditional consequence emergency response to early risk regulation prevention and control capabilities, and thus forming a major public health risk prevention and control system of “comprehensive risk assessment, early warning, precise dynamic response control” throughout the entire process. In this paper, risk control is divided into two processes: emergency response and normalized control, that is, to design an emergency response mechanism of multi-department coordination and a normalized control mechanism of major urban public health risks, so as to solve the dilemma of emergency fragmentation and form a full-cycle closed-loop management. [ABSTRACT FROM AUTHOR]

Common prosperity is an important feature of Chinese path to modernization, and urbanization is a necessary path to achieving Chinese path to modernization. However, the current urbanization of counties is plagued by problems such as unbalanced regional development, widening gap between urban and rural areas, unsound infrastructure construction, and imperfect public service support, which constrains the realization of common prosperity. How to build a scientific and reasonable evaluation system to assess the development level of county urbanization and the degree of urban-rural integration is of great significance in promoting the healthy development of county urbanization and realizing common prosperity. This paper systematically reviews the historical origin and theoretical connotation of common prosperity, explores the internal mechanism of county urbanization for common prosperity, and then bases on Amartya Sen's proposition that social development should be a continuous expansion of the “feasible range of capabilities” of human beings in order to realize greater substantive freedom, arguing that realizing the “common prosperity” as well as the “realization of free and comprehensive development of human beings” implies a continuous expansion of the scope of the feasible range of people's capabilities, and that, from the concrete point of view, not only the incomes of the inhabitants should be made fair and reasonable, but also the range of commodities and services that can be consumed by the urban and rural inhabitants should be continuously expanded, and the gaps between the groups should be continuously narrowed. Therefore, based on the principles of systematicity, scientificity, objectivity and foresight, this study is based on the data from the Statistical Yearbook and the big data from the platform of “ Data Intelligence Portal for Social Science Studies”(DIPS)developed by the “Joint Laboratory of Data Intelligence and Urban Future of Zhejiang University-Zhejiang Mobile”. The evaluation system of county urbanization is constructed from the three evaluation dimensions of income fairness, consumption fairness and urban-rural integration(first-level indicators), which includes 9 second-level indicators including indicators like affluence level, development potential and urban-rural income disparity etc. and 26 third-level indicators. Compared with the previous literature, this paper expands in the following two aspects: firstly, this study establishes a theoretical connection between common prosperity and county urbanization, and tries to construct a county urbanization evaluation system from this new perspective. The three-dimensional division of income fairness, consumption fairness and urban-rural integration structurally realizes the organic convergence of the value goal of common prosperity and the policy goal of county urbanization, takes into account the specific requirements of common prosperity on the income side and the consumption side, and also highlights the precision policy of county urbanization on urban-rural integration, which meets the requirements of the top-level design of the evaluation system of high-quality county urbanization based on the goal of common prosperity. Secondly, unlike the existing evaluation system that relies on statistical yearbook data, this research adds big data indicators that are accessible, identifiable, analyzable and replicable to the selection of indicators, so that the indicators not covered by the traditional statistical yearbook data can be meticulously portrayed in real-time feedback, helping to accurately capture the dynamic characteristics of the current urban development, and ultimately combining the advantages of the two to make the evaluation system of county urbanization more scientific and innovative. This study reveals, to a certain extent, the theoretical connotation between the national strategic goal of common prosperity and high-quality urbanization in counties, and the constructed indicator evaluation system not only provides academic references for decision-making and practice of urbanization construction, but also guides local governments to achieve the optimal allocation of resource elements between urban and rural areas and the bidirectional and efficient flow of resources, so as to promote the coordinated advancement of the common prosperity and the integration of urban and rural areas with high-quality development. [ABSTRACT FROM AUTHOR]

In recent years, a large number of new digital information technologies have appeared in the world. The role of the digital economy as a “stabilizer” and “accelerator” for the development of the real economy has become increasingly prominent. Digital transformation has become a key force in reshaping the global resource structure and changing the world economic pattern. Especially in the current era, the international political, economic and scientific and technological landscape is constantly changing. How to grasp the new situation, strengthen technology leadership, improve digital governance and establish new development advantages have become a severe test for each economic entity. However, the relationship between business uncertainty and digitization is still inconclusive. The unpredictability of the environment has led enterprises to rely more on digitization. Enterprises are eager to carry out comprehensive digital construction at the fastest speed to improve their competitive position. Companies are trying to be a dark horse in the face of environmental shocks. However, in practice, it is found that the situation, ecological environment, capital, technology and other constraints lead to the inability of enterprises in the digital construction. Therefore, the study of how the uncertainty of the business environment affects the digital transformation of enterprises has become the focus of this paper. Specifically, through the analysis of resource-based theory, agency theory, real option theory, strategic alignment theory and existing research results, the main hypothesis and alternative hypothesis of the paper are proposed. The empirical part uses the data of China's A-share listed companies from 2004 to 2021 to test the impact of business environment uncertainty on enterprises' digital transformation. The results show that uncertainty in the business environment will inhibit enterprises' digital transformation. However, this inhibitory effect will weaken as the uncertainty of the business environment increases. The influence of business environment uncertainty on digital input and results conforms to the U-shaped relationship, but it only inhibits the efficiency of digital output. Uncertainty in the business environment inhibits digital transformation through financing constraints, technical talent drain, and management myopia. Accordingly, this inhibition can be alleviated by promoting market-oriented development, promoting the construction of digital organizations and increasing the proportion of management ownership. The inhibiting effect of business environment uncertainty on enterprises' digital transformation is more significant in enterprises with overseas management background, non-IT management background and higher average age of management. Moreover, this dampening effect ultimately leads to a decline in aggregate productivity and firm value. Compared with previous literatures, the conclusions enrich the research on the impact of business environment on enterprises' digital transformation. The internal logic and economic consequences of business environment uncertainty inhibiting enterprises' digital transformation are deeply discussed. The corresponding mitigation mechanism is studied according to different influence channels. The heterogeneity is analyzed based on the characteristics of management structure. The relationship between business environment uncertainty and enterprise digital transformation is analyzed comprehensively. At the same time, it provides new empirical evidence for the development of China's digital economy and the high-quality development of the market. [ABSTRACT FROM AUTHOR]

Social security and high-quality economic development are important ways to achieve common prosperity. At the present stage, Chinese economic development has shifted from high-speed development to high-quality development. However, social security sustainability has been challenged by demographic transformation, which has an impact on the sustainability of economic development. It is also bound to further affect the coordinated relationship between social security and high-quality economic development. This article constructs an analytical framework for social security and economic high-quality development based on system theory. On the basis of elaborating the theoretical relationship between social security and high-quality economic development, the quality of social security and the index of high-quality economic development are comprehensively measured based on Chinese provincial panel data. The dynamic relationship between social security and economic high-quality development is also analyzed by using the decoupling theory and the coupling coordination degree. It is found that: first, both the quality of social security and the index of high-quality economic development show an increasing trend year by year. The indexes of social security quality and economic high-quality development are higher in provinces with faster economic development. However, in terms of the index growth rate, the economic quality development index of most economically backward regions grows faster than that of the economically faster developing regions. In contrast, the growth rate of their social security quality is slower than that of regions with faster economic development. This finding reflects that the quality of social security and the quality of economic development are not synchronized within regions. Second, the relationship between social security and high-quality economic development as a whole is characterized by decoupling, negative decoupling and fluctuating linkages, with the dominant decoupling showing a “progressive deterioration”. The high-quality economic development of each province mainly shows the trend of inefficient expansion. Third, the degree of coupling and the degree of coupling coordination of the two systems have both been on the rise year by year. However, they are still in a low state of coordination. Fourth, in the heterogeneity analysis, the system coupling and coordination degree of social security and economic high-quality development shifted from barely coordinated to primary coordinated in the eastern region. The central region evolves from on the verge of dysfunction to barely coordinated. In the western region, the degree of coordination of the system coupling between social security and high-quality economic development has evolved from mild to imminent coordination. All in all, the government needs to reasonably grasp the “appropriateness” of social security. And on the basis of making a bigger cake, it should share the cake well, so as to ensure that social security and the economy can achieve high-quality development on the basis of coordination and sustainability. Compared with the previous literature, this paper expands in the following two aspects: first, in terms of the selection of indicators, it is different from the existing studies that measure the level of social security only from the level of expenditure. This paper measures the quality of social security from the expenditure, income, coverage to collection of social security items. Not only the “quantity” but also the “quality” of social security is taken into account. Secondly, the mechanism of coordinated development between social security and high-quality economic development is analyzed on the basis of Luhmann's social system theory. It expands the relevant literature from a new perspective, and further measures the degree of coordination between the two. Through the results of the measurement, it finds the problems existing in the relationship between social security and economic development at the present stage in China, which will help the relevant departments to put forward reform measures. [ABSTRACT FROM AUTHOR]

Expensive medical treatment(“Kan Bing Gui” in Chinese)refers to the high cost of converting medical and health resources into medical and health services, and the quantity and quality of medical and health service supply under limited resources are difficult to meet public health needs, thus directly affecting the construction of Healthy China Initiative. Moreover, the explosive growth in healthcare demand brought by the rapid aging of China's population will create additional pressure on the healthcare system and exacerbate the mismatch between supply and demand. Consequently, solving the “Kan Bing Gui” problem is a crucial task to ensure the achievement of the goals of the Healthy China Initiative. Many related studies simply attribute the “Kan Bing Gui” problem to insufficient fiscal expenditure on health, which is inconsistent with the fact and lacks in-depth analysis of the underlying institutional mechanisms behind the problem. Based on the perspective of structural imbalance in the allocation of medical and health resources, this paper studies the relationship between “Kan Bing Gui” problem and fiscal expenditure on health. Firstly, by summarizing the characteristic facts, we condense two main theoretical hypotheses:(1)The imbalanced allocation of medical and health resources is a major contributor to the “Kan Bing Gui” problem;(2)An increase in fiscal expenditure on health will aggravate the structural imbalance in the allocation of medical and health resources and hinder the alleviation of the “Kan Bing Gui” problem. Secondly, we empirically confirm the above two hypotheses with provincial panel data from 2009 to 2019, using Feasible Generalized Least Squares(FGLS)and mediation testing. Finally, we conclude that increasing fiscal expenditure on health will ultimately worsen the structural imbalance in the allocation of human resources, which is not conducive to solving the “Kan Bing Gui” problem. For the sake of truly alleviating the “Kan Bing Gui” problem from the whole society, increasing fiscal expenditure on health should be combined with in-depth reforms of the health care system to fundamentally optimize the allocation of medical and health resources, and then improve allocative efficiency. Compared to existing literature, this paper has three contributions. Firstly, we analyze the “Kan Bing Gui” problem at social level rather than just at an individual or family level. Although the long-term high total cost of social health is difficult to be perceived by the public and has strong concealment, it directly affects the implementation of the Healthy China Initiative. Secondly, this paper is based on the imbalanced allocation of medical and health resources, and mainly concentrates on the structural imbalance in the referral system. We explore the institutional factors of the “Kan Bing Gui” problem by analyzing the underlying causes of the imbalanced allocation of medical and health resources. This paper can provide a theoretical basis for fundamentally solving the “Kan Bing Gui” problem and correctly understanding the government expenditure responsibility. Thirdly, this paper delves deeper into the coordination mechanisms between efficient market and effective government to achieve a rational allocation of medical and health resources. This paper proposes a new idea to solve the “Kan Bing Gui” problem by fully coordinating the tripartite mechanism of the government, market and society, and combine the increasing of government health expenditure with the deepen reform of health care system. “Kan Bing Gui” has been a long-standing issue in China. In recent years, various kinds of studies have examined the causes of this problem, but this paper provides a unique perspective to explore the impact of structural imbalance in referral systems on this problem, as well as the systematic mechanisms behind the problem, and also puts forward useful ideas and references for the construction of the Healthy China Initiative. [ABSTRACT FROM AUTHOR]

Currently, the level of localization and autonomy in advanced manufacturing in China is relatively lagging behind developed countries, and there are still many areas where “we are inferior to others in technology” and “we are still dependent on others”. Modern service industry and advanced manufacturing industry represent the direction of “modernization” and “progressiveness” of China's industrial development. “Two industries” convergence is an important point for China to participate in great power competition and industrial competition, and an important way to achieve high-quality development of advanced manufacturing industry. Based on this background, this paper classifies and summarizes the modern service industry and advanced manufacturing industry by using statistical relevant data from the two major industries. Firstly, to measure the degree of integration between advanced manufacturing and modern service industries in different provinces and industries in China, this study builds an index system and a coupling coordination degree model, therefore, the measurement of coupling degree in different industries is more detailed and accurate. Secondly, using data from A-share listed companies in China from 2003 to 2021, this study empirically tests the impact of the integration of the two industries on the total factor productivity(TFP)of advanced manufacturing. This research has shown that the integration of the two industries has significantly improved the TFP of advanced manufacturing industry, and this result still holds true after a series of endogeneity treatments and robustness tests. Heterogeneity analysis shows that the integration of the two industries has more significant impact on the TFP of advanced manufacturing in state-owned enterprises and large enterprises. Besides, the integration of some specific industries like specialized equipment manufacturing, computer, communication, and other electronic equipment manufacturing with modern service industries can significantly improve industry TFP. The possible contributions of this article are as follows: firstly, this paper theoretically explains the logical relationship between the integration of “two industries” and TFP of advanced manufacturing industry and reveals the influence mechanism of “two industries” integration on TFP of advanced manufacturing industry mainly from three aspects: promoting technological innovation through technological integration, alleviating financing constraints through the integration of digital economy and real economy, and optimizing resource allocation through market integration. Secondly, this paper matches macro province-industry data with micro enterprise data, as the different dimensions of data measurement to some extent avoid endogeneity issues of reverse causality. This is because individual enterprise behavior usually cannot affect the degree of integration between provinces and industries. Thirdly,heterogeneity analysis was conducted on advanced manufacturing enterprises in different industries. Based on the above conclusions, this article finally proposes policy recommendations from the aspects of actively developing the digital economy and modern service industry, encouraging collaborative innovation among enterprises, and reducing barriers to factor mobility. [ABSTRACT FROM AUTHOR]

In recent years, China's utilization of FDI, despite the challenges it has faced, has managed to “buck the trend” of the global decline in outward FDI, the underlying logic of which is that the “dual circulation” can create a new advantage in attracting FDI. However, there are few direct analyses in the existing literature on the link between the new development pattern of the dual circulation and the “stable improvement” in the quality of FDI. Among the many factors affecting FDI, even the studies conducted from the perspective of the dual-circulation mainly focus on qualitative discussions or certain specific factors in the domestic and international macro-circulation, failing to focus on the possible impact of the dual-circulation itself on China's “steady improvement of the quality of utilization of FDI”. This paper, by adopting the Asian Development Bank(ADB), the University of International Business and Economics Global Value Chain Database(UIBE GVC), and the China Carbon Accounting Databases(CCADs), etc., based on Ni Hongfu et al.(2016)'s method of measuring the length of domestic and international production segmentation, quantitatively measures the “double cycle” and examines the effect of “ dual circulation ” on the “quality” and “quantity” of foreign investment utilization. The empirical study finds that the domestic and international dual circulation and their interaction play a significant role in promoting the “quality” and “quantity” of FDI utilization. Specifically: the improvement of industrial supporting capacity and demand expansion under the scale advantage of the local market, as well as the increase in the degree of openness, are the key mechanisms for the dual circulation to promote the utilization of FDI “steadily improving quality”; “The quality of the system plays a significant positive regulatory role in the promotion of “steady improvement in the quality” of foreign capital utilization, that is, the more perfect the quality of the system, the more conducive to the dual circulation promoting the utilization of foreign capital; the results of the heterogeneity test show that the dual circulation has a more significant effect on the promotion of the tertiary industry, and due to the existence of market segmentation between regions, the dual circulation has a more significant effect on the promotion of the tertiary industry than the central and western inland regions. At the same time, due to the existence of inter-regional market segmentation, the domestic and international dual circulation has a more significant effect on the “quality” and “quantity” of foreign capital utilization in the eastern coastal region than inland areas in the central and western regions. The possible marginal contributions of this paper include: in terms of research perspective, different from the factors influencing the utilization of FDI, including high-quality utilization of FDI, which has been the concern of the existing research literature, this paper focuses on expanding the analysis of the factors influencing the utilization of FDI to improve the quality in a stable manner from the perspective of the domestic and international dual circulation; In terms of research content, regarding the possible impact of the dual circulation on the utilization of foreign investment “steadily improving quality”, it not only analyses its possible real effects from the theoretical and empirical levels, but also tries to reveal the possible mechanism of the above impacts; in terms of measurement methods and data usage, on the one hand, based on the input-output table, this paper uses the consumption coefficient matrix, Leontief inverse matrix, value-added matrix, etc. to measure the length of the domestic and international production splits, which is an innovative way to quantitatively measure the dual-circulation; on the other hand, in contrast to the previous studies of the dual-circulation that stayed on the panel data at the national level, the object of this paper's research is further refined to the provincial and industry levels to carry out a more detailed study. The research in this paper not only helps to expand and deepen the understanding of the influencing factors of China's utilization of FDI, but also provides policy insights for government departments on how to continuously improve the supporting capacity of the industries that utilize FDI and cultivate new advantages in attracting and gathering FDI under the new situation from the specific perspective of the new development pattern of the dual circulation. [ABSTRACT FROM AUTHOR]

At present, the Ukraine crisis has triggered the accelerated evolution of the world geopolitical pattern. Trade frictions and the impact of the COVID-19 epidemic have increased the risk of rupture of the global industrial chain. In this context, countries have shifted from pursuing “efficiency” of the industrial chain to emphasizing both “efficiency and security”, and the issue of industrial chain resilience and security has been raised to unprecedented new heights. Improving the resilience of the industrial chain is a key component in promoting high-quality development and maintaining national security. Based on the multi-regional input-output table(ADB-MRIO)compiled by the Asian Development Bank, this paper calculates the resilience of the industry chain, then combines it with industrial robots data provided by the International Federation of Robotics(IFR)to deeply explore the impact and mechanism of artificial intelligence on the resilience of the industry chain. The study shows that:(1)overall, artificial intelligence can significantly improve the resilience of the industry chain. This result is still significantly valid under robustness tests such as dealing with endogenous problems, changing variables, changing sample range, and changing estimation methods.(2)The mechanism test results show that the effects of technological innovation and governance system optimization are the internal mechanisms for AI to enhance the resilience of the industrial chain.(3)The heterogeneity analysis shows that at the national level, artificial intelligence has a more significant impact on enhancing the resilience of industrial chain in developed countries and countries with higher levels of digital infrastructure penetration. At the industry level, compared to low tech manufacturing, artificial intelligence plays a more prominent role in enhancing the resilience of the industrial chain in mid to high tech manufacturing.(4)When considering the impact of the 2008 financial crisis, we also find that the financial crisis has weakened the positive effect of artificial intelligence on the resilience of the industrial chain. This paper contributes to the existing literature in three aspects. First, in terms of research issues, this paper provides a possible path to effectively improve the resilience of the industrial chain from the perspective of artificial intelligence, and further enriches the research on the determinants of industrial chain resilience. At the same time, we also put forward the internal mechanism of artificial intelligence to improve the resilience of the industrial chain, that is, artificial intelligence will affect the resilience of the industrial chain through two possible channels: technological innovation effect and governance system optimization effect. Second, in terms of index construction, based on the analysis of industrial chain resilience in the International Monetary Fund's World Economic Outlook Report, this paper uses the input-output method to construct the index of industrial chain resilience at the country-industry level from the perspective of intermediate input diversification, providing empirical evidence for accurately identifying the industrial chain resilience in various industries and countries. Third, in terms of research data, this paper manually links the multi-regional input-output table(ADB-MRIO)and the International Federation of Robotics(IFR)to form the dataset needed for this research. In addition, the sample interval of this study is from 2007 to 2019. Compared with previous studies using the WIOD input-output table up to 2014, it can better reflect the current new pattern of global economic and trade adjustment and has higher timeliness. The research in this paper helps to explore the possible path to ensure the resilience and safety of the industrial chain, and then provides beneficial theoretical support for achieving high-quality development under the new round of scientific and technological revolution. [ABSTRACT FROM AUTHOR]

Since the 18th National Congress of the CPC, president Xi Jinping has attached great importance to the work of propaganda, ideological and cultural work. He has profoundly summarized the achievements and experience of building a culturally strong nation in the new era, and has deeply contemplated the opportunities and challenges faced by cultural development in the new circumstances. He has put forward numerous new thoughts, new viewpoints, and new judgments in the construction of cultural development, which have formed Xi Jinping's Thought on Culture. Existing literature primarily focuses on exploring the historical process, main content, and original contributions of Xi Jinping's Thought on Culture. However, the research is still in its early stages, and there is room for improvement in terms of theoretical depth and breadth. This paper primarily adopts the methods of literature research and systematic analysis, aiming to comprehensively sort out and systematically analyze a series of important discourses by Xi Jinping on Cultural development. The goal is to conduct an in-depth and specific investigation into the logical generation, core essence, basic characteristics, and contemporary value of Xi Jinping's Thought on Culture. Through these efforts, the aim is to deepen the theoretical interpretation and holistic research of it. Compared to previous literature, this paper innovates in three aspects. Firstly, it analyzes the logical generation of Xi Jinping's Thought on Culture from four perspectives. It argues that these thoughts are based on the theoretical foundation of cultural development by Marxist classic writers, the historical experience of positive achievements in cultural development by the Communist Party of China over the past century, the practical experience of party leadership in cultural development in the new era, and the rich cultural heritage of the Chinese nation. These four aspects together establish a solid foundation for Xi Jinping's Thought on Culture. Secondly, it specifically examines the core essence of Xi Jinping's Thought on Culture. Xi Jinping's Thought on Culture is rich in content and profound in connotation, systematically elucidating a series of contents such as the strategic position of cultural construction in the new era, the new cultural mission, the work orientation and fundamental principles of propaganda, ideological and cultural construction, the road to cultural prosperity, and the important impetus for cultural development, formed a complete scientific system. Thirdly, it summarizes six distinct characteristics of Xi Jinping's cultural thoughts: the unity of party nature and people-oriented approach, the unity of adherence to principles and innovation, the unity of holistic thinking and practicality, the unity of historical confidence and cultural confidence, the unity of national character and global perspective, and the unity of systematic thinking and openness. It argues that the introduction of Xi Jinping's Thought on Culture greatly enriches and develops Marxist cultural theory, provides scientific guidance for the construction of a strong cultural country in the new era, and contributes Chinese wisdom to the development and progress of human civilization. The research conducted in this paper, to a certain extent, enriches the theoretical exploration of Xi Jinping's Thought on Culture. It is beneficial for further clarifying the scientific connotation, practical requirements, and significant implications of Xi Jinping's Thought on Culture. Moreover, it is advantageous for promoting the in-depth and solid implementation of learning and applying Xi Jinping's Thought on Culture throughout the entire Party and society. [ABSTRACT FROM AUTHOR]

Ultrasound has been gradually applied to the field of cerebral small vessel disease (CSVD) due to its unique advantages. This paper summarized the studies related to ultrasound in CSVD, and summarized the relationship between CSVD and various evaluation indicators of vascular ultrasound. What’s more, this paper described the role of ultrasound in the evaluation and diagnosis of multi-system diseases such as heart, brain, and kidney coexisting with CSVD, and provided a theoretical basis for comprehensive and effective evaluation of CSVD by ultrasound. [ABSTRACT FROM AUTHOR]

Cross-domain computing power networks wish to integrate computational and data resources from multiple computing centers, but existing methods do not pay enough attention to cross-domain file and data management. In this paper, a lightweight data access scheme for cross-domain computing power networks was proposed: (1) accessing parallel file system storage resources of remote computing centers through file system protocol conversion; (2) local caching as a supplement to cope with high IOPS applications; and (3) mounting remote or local storage to specified directories through container binding technology. The prototype system based on this scheme had been deployed on high-performance computing centers in multiple universities. The measured data and user experience showed that the scheme in this paper could meet the requirements of common high-performance computing applications. [ABSTRACT FROM AUTHOR]

Aiming at the target search task, considering the existing problems of unreasonable initial distribution of UAVs and poor consistency of start and end time of swarm tasks in the existing coverage path planning algorithms, this paper designs an equal-time tendency region segmentation algorithm based on the initial scenario of realistic UAV cluster centralized deployment. The optimization goal of the algorithm is to minimize the maximum waiting time of individuals in the UAV swarm, and the task time of the UAV is affected by changing the size of the UAV search area. The algorithm has a secondary structure. The first level is the initial coarse segmentation, which solves the problem of too many iterations of boundary points. In the second level, the task time deviation value is used as the adjustment value to ensure the unity of task time. The simulation results show that the algorithm designed in this paper is more suitable for the scene of concentrated UAV delivery. The algorithm successfully reduces the task waiting time between UAV individuals. It facilitates the secondary scheduling of resources and the synchronous execution of multi-order tasks. [ABSTRACT FROM AUTHOR]

This paper discusses the reliability deployment of Service Function Chain (SFC) on the hybrid satellite network based on SDN architecture. Firstly, this paper describes the reliability protection problem of SFC, establishes the underlying network and SFC request model, and then establishes the reliability requirement model of network service function and the reliability requirement model of LEO satellite link, and clarifies the optimization goals and constraints. Then, a reliability-based satellite service function chain protection method is proposed, including a reliability protection algorithm based on deep reinforcement learning and a reliability backup algorithm based on LEO satellite node and link. Experiments show that the proposed reliability-based satellite service function chain protection method can improve the SFC request acceptance rate, reduce the average delay, and maintain high request acceptance on hybrid satellite networks based on SDN architecture. [ABSTRACT FROM AUTHOR]

For the lack of command and control modeling principles and mechanisms in the current end-to-end campaign tactical level simulation for unmanned air combat, this paper systematically combs and studies the recent research in unmanned air campaign tactical simulation. Combined with the relevant research, this paper explored the principles and methods of different C2 modeling at different simulation levels and established a C2 simulation system suitable for the characteristics of CISE in unmanned air combat. Further, theoretical and practical guidance is provided for innovative demonstration and evaluation methods of CISE through the effectiveness evaluation support of unmanned air combat tasks. [ABSTRACT FROM AUTHOR]

In the ship information big data system, aiming at the problems such as long time consuming, distortion of thermal map effect and poor tracking or lag in the roaming of map software when the client requests a large amount of historical data from the server and draws heat map in real time, this paper proposes an improved real-time generation strategy of map map of ship history activity. Based on the thermal map generation method with the idea of pixel clustering, this strategy uses the image enhancement algorithm based on nonlinear transformation and pixel complement method to correct and optimize the display distortion problems existing in the head map. On this basis, the dynamic loading and drawing strategy and multi-thread real-time mapping strategy are proposed to generate the heat map of the ship’s historical activities. Experiments show that the strategy proposed in this paper has been improved in the efficiency of heat map drawing, mapping effect and interactive experience of map software. [ABSTRACT FROM AUTHOR]

The construction of specialty towns is positioned as an important breakthrough and down-to-theground path in the implementation of China's new-type urbanization strategy. It highlights the roles of placebased industrial specialization and agglomeration economics. In this process, the Chinese government plays a supportive and guiding role in enabling and aligning multiple actors to engage with to build new platforms for innovation and entrepreneurial activities that integrate the functions of production, living, and ecology. The specialty towns construction strategy is aimed at promoting people-based urbanization and the regional ability of endogenous development. Given the "top-down" and standardization-led nature of the specialty towns policy program, implementation and practices at the local level are both challenging and problematic. This paper adopts perspectives and concepts from evolutionary economic geography and agglomeration economics to explore the antecedents and mechanisms of urbanization. It emphasizes the geographical spatiality of the program in local implementation. Taking 134 provincial specialty towns of Zhejiang province as research cases, the paper refers to a mixed set of methodologies of on-site, interview-based fieldwork; an online survey; and a document analysis to identify the historical foundations, industry attributes, and development objectives of the specialty towns. It also generates a typology of the 134 specialty towns, as well as a typological guideline regarding policy intervention for the broader implementation of specialty towns in China. Three main types of specialty towns are identified in our study: The first type is built on the basis of state-led, sci-tech industrial parks/new towns, whose development aims are oriented toward the development of new industrial paths. The second type is based on firm-led specialized markets located in small administrative towns that support the upgrading and renewal of existing local traditional industries. The third type is featured by the local presence of place-specific natural or sociocultural resources, and it is based on scenic spots. It is oriented to the development of the tourism economy. In conclusion, this study promotes the incorporation of evolutionary economic geography perspectives into the policy implementation of specialty towns and calls for taking the concepts of history, space, and place into account for a better understanding of these towns. By so doing, future policy methods will not be standardized, quota-based, and top-down. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] Aiming at the semantic missing and incomplete problems in the process of image organization and retrieval, a framework for semantic description of images in social media is proposed to enrich the existing theoretical system of image description, improve the efficiency and utilization of image retrieval, and provide a reference for the realization of the automatic semantic annotation of images. [Method/Process] First, we conducted a survey and analysis of research progress related to image description both domestically and internationally, summarizing the existing theories of image description and annotation, metadata specifications, and related technical methods. Second, based on the image metadata standards and the theory of hierarchical and categorical description of image features, we constructed a semantic description framework for social media images, focusing on seven layers: external feature layer, content layer, object layer, relationship layer, scene layer, event layer, and emotional layer. We also elaborated in detail the various semantic layers and their interrelationships. Finally, we verified the feasibility of the image semantic description framework by describing the examples of character images and landscape images. [Results/Conclusions] The results of the descriptive examples of character images and landscape images indicate that the image semantic description framework can eliminate the "semantic gap" in image description through semantic associations between different layers, and achieve a multi-faceted, multi-dimensional, and multi-level structured and semantic description of the external and content features of images. It has strong portability and flexibility. However, there are also certain limitations and areas for improvement in this paper: 1) Based on the image semantic description framework proposed in this paper, a prototype system based on image annotation needs to be developed; 2) The images posted by users on social media are closely related to the situation, and they are more likely to express emotions. In the future, more research on the semantic layer of images can be conducted based on the text information posted by users; 3) Future research can further explore the application of deep learning in image and text fusion to achieve more accurate event and emotion recognition. By constructing a more complex neural network structure, the event and emotion information in the image can be deeply mined and fused; 4) When describing images, the study should pay attention not only to static visual features, but also to consider the dynamic course of events. Future frameworks could attempt to combine static and dynamic information to provide richer, more vivid descriptions of images. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] In order to better realize the goal of digital transformation of education and digital transformation of university libraries, university libraries should strengthen the team building of high-level and high-quality librarians, so as to improve librarians' digital literacy levels and serve the independent training mode of high-level talented professionals in universities. Most of the existing digital literacy research studies farmers, college students, and teachers, whereas few studies focus on the digital literacy of librarians in teaching assistant positions. With the gradual deepening of the digital transformation of libraries and the application of educational technology, the improvement of librarians' digital literacy is particularly important. Therefore, this study aims to establish the correlation between educational technology and librarians, and explore the ways to improve librarians' digital literacy from the perspective of educational technology application, in order to fill in the gaps of current research. [Method/Process] Based on the literature analysis and research background at home and abroad, this paper comprehensively explored the connotation of digital literacy, and the connotation and characteristics of educational technology; through the combination of "online + field", this paper reviewed the practical application of educational technology at home and abroad in university libraries from two aspects of similarity and difference, and discussed the necessity and correlation of librarians to improve their digital literacy. From the three aspects of media literacy, data literacy and ethical literacy, the pathway for librarians to improve their digital literacy was constructed. [Results/Conclusions] This paper extracts three important qualities needed in the application of educational technology, and constructs the way to improve the quality of librarians, so as to improve the effective utilization rate of educational technology and find out the position of educational technology in the library service. Due to the realistic factors such as time and research object, this study still remains in the theoretical aspect, and we need further verify our method's feasibility and practicality. In the future, we will further study the influencing factors of how to improve the digital literacy of librarians, and then improve our method of improving the digital literacy of librarians from the aspects of digital literacy education object, education content, education method, education mode and education evaluation, so as to realize the feasibility of our method. educational technology; university libraries; librarian; digital literacy [ABSTRACT FROM AUTHOR]

Lagerstroemia is a native plant in China, which has been cultivated for more than 1 500 years. It is an excellent summer flower woody plant, and is widely used in urban landscaping because of its beautiful color, long flowering period and the advantage of purifying air. The germplasm resources of Lagerstroemia indica are extremely rich. There are about 60 species of Lagerstroemia in the world, 40% of which are in China. The results of national and regional investigations have laid a good foundation for the study of L. indica. In recent years, the cultivation and application of new cultivars have been increased in various regions. The breeding method is mainly traditional breeding, and many new cultivars with good characters and high market value have been cultivated. With the rapid development of breeding technology and molecular biology, a breakthrough has been made in the researches on molecular assisted breeding of L. indica. In this paper, the classification research, germplasm resources, breeding research and introduction and application of L. indica were reviewed. We systematically sorted out the germplasm resources of L. indica in China, including 24 wild species and 350 cultivars, discussed the research process and development trend of breeding of L. indica at home and abroad, and summarized the current situation of introduction and application research. In regard to the current research status of L. indica, this paper offered reflections on future research directions to enhance investigations of L. indica, improve germplasm resource banks, and establish information sharing channels; efforts on breeding should be expanded beyond flower color, fragrance, plant type, resistance and extension of flowering period; and biological and intelligent technologies should be leveraged to strengthen breeding techniques and accelerate innovation in L. indica germplasms. Continuous application forms for L. indica resources should be developed according to local conditions to fully realize their value. [ABSTRACT FROM AUTHOR]

Functional experiment is an important part of training program of basic medical experiment technology in medical colleges, and a scientific laboratory management system is a prerequisite for ensuring the progress and training outcomes of the education. Based on the school-running concept of “small-scale elite education” in Peking Union Medical College, this paper expounds the progress of the construction of medical functional experiment teaching system in Peking Union Medical College from many aspects, such as the reform of medical functional experiment teaching, the construction of functional laboratory and so on, and puts forward some ideas for building of a qualified training laboratory, so as to provide reference for further deepening the reform of experimental teaching and supporting sustainable development of teaching laboratory of medical schools. [ABSTRACT FROM AUTHOR]

Due to the drawbacks of low specificity and high risk of side effects of traditional anti-tumor treatments in clinical practice, novel anti-tumor immunotherapy has received attention and has been gradually applied. Tumor immunotherapy is to enhance the anti-tumor immune response by regulating the body's immune system in order to achieve control and killing of tumors. Tumor immunotherapies include immune checkpoint blockade therapy, over-the-counter cellular immunotherapy and tumor vaccines. Among them, the tumor vaccine stimulates the immune system to produce specific immune cells or antibodies by delivering tumor cell-specific antigens thereby eliminating the tumor cells for the purpose of treating the tumor. In recent years, The field of mRNA vaccines is developing rapidly, and the required mRNA in the synthesis and preparation of the process has been developed and matured, laying a good foundation for the research of tumor mRNA vaccine. Because of the fact that mRNA is easily degraded and cannot enter the cell autonomously, this vaccine requires a suitable delivery vehicle to be successfully taken up by the cell to be effective. Therefore, the development of mRNA vaccine delivery systems has become critical for their better utilization, which is also an important part of whether mRNA vaccines can be developed and utilized for the clinical stage in the field of tumor therapy. This paper briefly introduced the immunotherapeutic methods for tumors, types of tumor vaccines and the mechanism of action and preparation methods of tumor mRNA vaccines, reviewed the research progress and related applications of mRNA vaccines and their common delivery systems in immunotherapy for tumor treatment, and summarized the tumor mRNA vaccines that entered into the phase of clinical trials with the aim of providing assistance for the research of mRNA vaccines for tumors in the future. [ABSTRACT FROM AUTHOR]

Anxiety disorders are characterized by persistent and excessive fear, anxiety and concern, accompanied by avoidance behaviors and physical symptoms such as increased heart rate, shortness of breath and muscle tension, which is one of the most prevalent psychiatric disorders. Research has shown that early life stress (ELS) can increase individual susceptibility to developing anxiety disorders during childhood and adulthood by modifying brain structure and functions. A large number of papers have reviewed the pathophysiological mechanisms of ELS-related anxiety disorders, while only a few have reviewed interventional techniques for ELS-related anxiety disorders. The phenomenon of tactile deprivation is prevalent in individuals experiencing ELS. Most current researches on affective touch and anxiety disorders suggest that affective touch is an intervention for ELS-related anxiety disorders. The review firstly introduces the phenomenon of touch deprivation in individuals experiencing ELS, discusses the effect of affective touch intervention on ELS-related anxiety disorders, and then summarizes the mechanism of affective touch in terms of neural circuits and neuroendocrinology, in order to provide reference for complementary intervention treatment of ELSrelated anxiety disorders. [ABSTRACT FROM AUTHOR]

In this paper, a new type of Al-Ga-In-Sn-Si alloy anode with high negative potential and high activation was successfully prepared by modifying low melting point alloy elements such as Ga, In and Sn. The corrosion behavior and electrochemical performance of Al-Ga-In-Sn-Si alloy were studied through material characterization and electrochemical tests. A seawater dissolved oxygen battery was constructed with carbon fiber brush-graphene-platinum (Pt-G@CFB) catalytic cathode. The long period discharge performance of the battery under different constant resistance in indoor static and real dynamic seawater environment was investigated. The electrochemical test results of aluminum anode show that the self-corrosion potential of Al-Ga-In-Sn-Si alloy is −1. 613 V(vs. Ag/AgCl), and the self-corrosion current density is 1. 431 mA/cm² . The battery discharge test results show that the battery voltage rises with the increase of load resistance. The average discharge voltages of the dissolved oxygen battery in seawater are the highest, which are 1. 73 and 1. 78 V respectively, under the load of 2000 Ω in indoor static and real dynamic seawater, and the average energy densities are the highest under the load of 1000 Ω. They are 549. 85 and 653. 44 Wh/kg, respectively. [ABSTRACT FROM AUTHOR]

In this paper, the complex Eu (HFA)4TPP (HFA=Hexafluoroacetylacetone, TPP= tetraphenylphosphonium) with high photoluminescence quantum yield and improved stability is prepared. The steric effect on luminescence performance is revealed by studying the crystal structures and luminescence properties of Eu(HFA)4Na and Eu(HFA)4TPP complexes. On this basis, the luminescent films are obtained by incorporating Eu(HFA)4TPP complex with high loading content into polymethyl methacrylate (PMMA) matrix, which shows a visible-light excitation window (240~450 nm) and high photoluminescence quantum yield of 60. 54%. In addition, the luminescent solar concentrators (LSC) in Eu(HFA)4TPP/PMMA film conformation is prepared. The optical conversion efficiency contribution of Eu(HFA)4TPP/PMMA film to the LSC is 0. 95% in the case of the G=1. 87, holding promise in photovoltaic fields. [ABSTRACT FROM AUTHOR]

The search for alternatives to fossil fuels has received a great deal of attention based on the urgency of reducing CO2 levels in the atmosphere and the demand for energy at this stage. Solar energy is the world's most abundant renewable energy source, and photocatalysis is a sunlight-driven chemical reaction process carried out on the surface of the photocatalyst. The realization of the carbon cycle is an urgent need for the development of human society. Photocatalysis has the advantages of low energy consumption and mild reaction conditions, and realizing the resource utilization of CO2 by simulating natural photosynthesis, which is one of the most promising means to solve this problem, and is of great significance for realizing carbon neutrality. The central issue in the case is the development of efficient, environmentally friendly and inexpensive catalysts. Titanium dioxide (TiO2 ) is favored in photocatalysis because of its high catalytic activity and excellent chemical stability. However, some bottlenecks still restrict the photocatalytic activity. Various methods have been tried to optimize the photocatalytic performance. This article summarizes the photocatalytic CO2 reduction based on TiO2 photocatalysts in recent years, which helps to comprehensively understand and grasp the research progress and trends in this field. This paper mainly discusses the mechanism of photocatalytic CO2 reduction, reaction system, and the research progress of TiO2-based catalysts in photocatalytic CO2 reduction. The active sites of TiO2-based photocatalysts are elaborated, focusing on the applications of titanium-oxo clusters, the construction of Lewis acid-base pairs, the establishment of heterojunctions, and the modulation of surface wettability. These strategies can not only increase the effective active sites on the catalyst surface, but also effectively enhance the separation efficiency of electron-hole pairs, so as to improve the photocatalytic CO2 reduction performance. Finally, the future opportunities and challenges in this field are prospected. [ABSTRACT FROM AUTHOR]