New quality productive forces are emerging as the strategic engine driving China's regional development. Empowering the comprehensive revitalization of Northeast China through new quality productive forces is a fundamental aspect of Chinese-style modernization. It is grounded in profound theoretical foundations and enriched by extensive practical significance. The strategic priorities for empowering the revitalization of Northeast China through new quality productive forces have been clearly defined， positioning high-quality development as the primary task， national security as the core mission， and the people’s better life as the fundamental objective. Therefore， key pathes proposed involve constructing an economic policy system that adapts to the development of new quality productive forces through new institutional arrangements， establishing and improving a modern industrial system through new production relations， building a talent echelon suitable for the development of new quality productive forces through a new mechanism， creating a safe and efficient innovation ecosystem with a new positioning， and enhancing the core competitiveness of new quality productive forces through new technologies， thereby providing solid support for Chinese-style modernization.

The widespread application of artificial intelligence （AI） has engendered ambivalent trust attitudes among users. On the one hand， the optimistic expectations of technological progress and the anthropomorphic characteristics of artificial intelligence predispose users to trust AI systems； on the other hand， uncertainties arising from inadequate temporal verification and latent risks simultaneously cultivate user skepticism toward AI technologies. However， existing research has predominantly focused on assessing whether artificial intelligence possesses trustworthiness qualifications and evaluating its credibility， while paying comparatively less attention to trustors’ （users’） intrinsic trust attitudes and their practical ramifications. In this regard， introducing “discretionary power” as a key analytical lens for examining the structure of trust relationships facilitates shifting research focus toward users’ entrustment behaviors， thereby offering a more effective response to the dual predicament of trust. Accordingly， it is proposed that AI system design incorporate trust-level-based access control strategies to continuously assess users’ trust levels and provide personalized services that respect and respond to users' varying degrees of trust in artificial intelligence.

Consumption constitutes a crucial means of shaping and manifesting people’s identity. In the digital era， technological advancements have driven the transformation of consumption into digital consumption， leading to corresponding changes in people’s identity. Digital consumption has led to the alienation of people’s identity， which is prominently manifested in three forms of alienation： the symbolization of digital consumption has masked people’s authentic identity needs， resulting in the disguised alienation of identity； the surveillance of digital consumption has eroded people’ identity autonomy， resulting in osmotic alienation of identity； and the entertainment-oriented nature of digital consumption has diminished identity sensibility， resulting in addictive patterns of alienation. In this regard， it is imperative to cultivate independent consciousness to satisfy people’s authentic identity needs， establish regulated consumption norms to safeguard people’s identity autonomy， and foster rational value systems to enhance people’s identity sensibility， thereby achieving the transcendence of alienation and ethical construction of identity in the field of digital consumption.

Deepening capital market opening-up is a vital initiative for economic development， with technological innovation serving as the fundamental driver of high-quality economic growth. In this context， examining whether QFII shareholding can stimulate corporate innovation investment has emerged as a pivotal research focus. Based on the data of China’s A-share listed companies from 2010 to 2022， this study empirically examined the impact of QFII shareholding on corporate innovation investment and its underlying mechanisms. The results show that QFII shareholding contributes to enhancing corporate innovation investment， with this effect exhibiting heterogeneous characteristics depending on the ownership nature and growth stage of the enterprises. The mechanism analysis reveals that QFII shareholding enhances corporate innovation investment by alleviating financing constraints and reducing agency costs. Moreover， due to the information effect， increased analyst coverage and a higher volume of positive media coverage can amplify the positive impact of QFII shareholding on corporate innovation investment. Further research finds that QFII shareholding can enhance corporate innovation investment efficiency and promote enterprise innovation development.

Enhancing agricultural economic resilience is an essential pathway to advancing agricultural modernization and building a strong agricultural nation， while the digital economy can provide new momentum for improving agricultural economic resilience. Based on the panel data from 31 Chinese provinces spanning from 2011 to 2022， this study empirically examined the empowering effect of the digital economy on agricultural economic resilience and its underlying mechanisms， following the measurement of digital economy development levels and agricultural economic resilience. The findings indicate that the digital economy significantly enhances agricultural economic resilience， with this effect demonstrating regional heterogeneity. This conclusion remains valid after undergoing a series of robustness tests. Mechanism analysis reveals that green technology innovation and comprehensive industrial structure upgrading serve as crucial channels through which the digital economy strengthens agricultural economic resilience. Further research identifies that economic policy uncertainty exerts an inhibitory moderating effect on the empowering role of the digital economy. Building on these findings， optimization pathways are proposed to strengthen agricultural economic resilience through digital economy， including enhancing digital infrastructure construction， intensifying agricultural green technology innovation efforts， and creating a stable economic policy environment.

Based on the dynamic resource-based theory， this study ​systematically examined how digital platform capabilities influence firm innovation performance， ​with specific focus on the mediating mechanism of strategic flexibility and the moderating role of ambidextrous innovation orientation. An empirical analysis was conducted on the results of 322 questionairs through multiple linear regression and fuzzy set qualitative comparative analysis （fsQCA）. The findings reveal that both digital platform integration capability and digital platform reconfiguration capability demonstrate positive effects on firm innovation performance. Strategic flexibility partially mediates the relationships between digital platform integration capability and innovation performance， as well as between digital platform reconfiguration capability and innovation performance. While exploitative innovation orientation and exploratory innovation orientation each positively moderate the relationship between strategic flexibility and innovation performance， ambidextrous balance orientation exhibits an inverted U-shaped moderating effect on this relationship. Furthermore， the fuzzy-set qualitative comparative analysis （fsQCA） identifies two distinct configurations of antecedent conditions that lead to enhanced firm innovation performance.

The existing modes of “spontaneous exploration”， “top-down experimentation”， and “approval-based authorization” are proving increasingly inadequate in their capacity to fully capture and theoretically account for contemporary local government innovation patterns. In exploring approaches to promote local government innovation， the State Council’s major inspection program has institutionalized and normalized inspection practices， thereby catalyzing the emergence of a novel “inspection-based commendation” model for local governance innovation. Employing the biterm topic model （BTM） specifically optimized for short texts， this study performed a thematic analysis on exemplary local cases officially commended in the State Council’s major inspection program during the 2015-2022 period. The study reveals that the inspection-commendation mechanism serves as a pivotal model for local government innovation， effectively stimulating proactive innovations in economic growth， industrial transformation， risk prevention， and administrative deregulation. Furthermore， the innovation themes exhibit significant heterogeneity across temporal， regional， and hierarchical dimensions. This model not only expands existing theoretical frameworks by systematically characterizing the thematic distribution and evolutionary patterns of local government innovation in the new era， but also provides empirical evidence and theoretical guidance for advancing the modernization of government governance systems and capabilities.

The pursuit of well-being is a core value orientation for individuals. Non-agricultural work experience can reshape the cognitive perceptions of migrant farmers and significantly influence their subjective well-being. Based on data from the CGSS 2017， this study empirically analyzed the impact of non-agricultural employment experience on subjective well-being and the mediating role of cognitive imprints. The results indicate that non-agricultural employment experience among farmers positively affect their subjective well-being. Subjective class identity and perceived social fairness， as cognitive imprints， play mediating roles in this relationship. Further research reveals heterogeneity in the effects of different age groups and non-agricultural employment experience on farmers’ subjective well-being. Therefore， relevant government departments should continue to improve non-agricultural employment policies， optimize support systems for returning farmers to start businesses， and vigorously promote county-level economic development， thereby enhancing the overall national well-being by improving migrant farmers’ subjective well-being.

Based on political systems theory， an analytical framework comprising six elements such as focusing capacity， public demand， public support， gatekeepers， general environment， and agenda trigger was constructed. Using qualitative comparative analysis （QCA）， the study examined the trigger mechanisms of policy agenda setting based on focal events from six conditional dimensions： public opinion intensity， cumulative effects， issue claims， issue support， information gatekeeping， and contextual framing. The findings reveal that no single political system element constitutes a sufficient condition for policy agenda setting. The trigger of policy agenda setting depends on the interaction of multiple factors， thereby shaping three distinct trigger mechanisms： “public-driven”，“comprehensive-interaction” and “environment-influenced”. Issue support plays a pivotal role in all three triggering mechanisms and is identified as a key driving element for the successful initiation of policy agenda setting.

The shareholder proposal right， as a mechanism for democratic participation in corporate decision-making， aims to achieve internal power balance and promote the flow of organizational information. There exist two normative models in comparative law： the governance-oriented approach and the regulation-oriented approach， which reflect the conceptual divergence between corporate autonomy and state intervention. The current amendment to the Company Law overly emphasizes the supremacy of shareholder interests in its institutional design of the interim proposal right， neglecting the value of balancing diverse corporate interests. It needs to be revised in terms of explanatory theory. In terms of nature， Article 115 （2） of the Company Law should be regarded as a semi-mandatory norm， allowing for differentiated design of subject qualifications， exercise procedures， and other matters in the company’s articles of association， so as to prevent elevating special protection for small and medium-sized shareholders from evolving into generalized regulatory constraints on corporate governance structures. At the same time， the proposal review power of the board of directors should be carried out in accordance with the two standards of formality and relevance， seeking a balance between the exercise of shareholder rights and the order of corporate decision-making. In addition， it is necessary to differentiate among the three distinct phases： ex ante （pre-proposal）， interim （in-process）， and ex post （post-decision） stages， and comprehensively construct a protection system for shareholder proposal rights through methods such as stock exercise by the investor protection institution， administrative review by the China Securities Regulatory Commission， and litigation for resolution defects.

Artificial intelligence crime prediction embeds itself into crime governance through a technical mechanism encompassing data input， algorithmic analysis， result output， and control measure implementation. Based on cognitive discipline， systemic architecture， and information asymmetry， crime prediction has evolved from an auxiliary tool into a form technological power， manifesting itself in the dominant power of predictive algorithms over the initiation of recourse， the transmissive power of prediction results in judicial proceedings， and the emergent technical autonomy generated by predictive systems. This engenders the risk of power expansion that erodes the principle of prosecutorial restraint， the exclusionary effect that weakens the participatory capacity of the accused， and the obfuscation of accountability chains that facilitates sanction evasion. A reasonable distinction should be made between prediction results and criminal prosecution. Differential evidentiary thresholds and presumption-of-harmlessness principles should be established. Tiered disclosure protocols and algorithmic interpretability standards should be implemented to ensure meaningful participation. Dual-review mechanisms with accountability frameworks should be instituted to strengthen substantive human intervention.

In view of the malpractice of the integral protection of folklore， the differential protection can be the basic method to construct the legal protection system. The protection of folklore embodies dual value orientation in policy， different protection intention in subject and diversity in object， so it is reasonable and necessary to differential protection. The criteria for differential protection should reflect the legitimacy of protection， the diversity of interests and the controllability of objects， and based on the field and function， extent and range of circulation， form and form of object， folklore can be divided into folklore in the field of spiritual worship， folklore works and other folk literature and art. The folklore works should be protected mainly by the special law of copyright， and other folklore should be protected by Intangible Cultural Heritage Law.

Artificial intelligence systematically shapes new quality productive forces across four dimensions： element， structure， function and environment. Promoting the intelligent advancement of laborers， means of labor， and objects of labor is the fundamental prerequisite for artificial intelligence in shaping new quality productive forces； driving the intelligent transformation and upgrading of traditional industries， facilitating the development of strategic emerging and future industries， and advancing the coordinated development of high-quality industries are the core components of artificial intelligence in shaping new quality productive forces； comprehensively stimulating economic growth， invigorating regional development vitality， and promoting the intelligent transformation of the national governance system are the target pursuits of artificial intelligence in shaping new quality productive forces； promoting improvements in institutional， policy， and international environments is the external condition for artificial intelligence in shaping new quality productive forces. To accelerate the advancement of artificial intelligence in shaping new quality productive forces， it is imperative to make breakthroughs in core and key technologies of artificial intelligence， promote deep integration between the digital and real economies， optimize the market competition environment for artificial intelligence， and cultivate compound innovatives talents.

The “Two Integrations” deeply fortify the root and soul of the path of socialism with Chinese characteristics. Against the intertwined backdrop of the theoretical and practical logics of the great rejuvenation of the Chinese nation， the “new cultural lifeform” upholds a grand historical perspective， grasping historical inevitability within the framework of the “Two Integrations，” highlighting the development themes amid the “Two Overall Situations”， and addressing contemporary challenges in the contest between “the past and the present，” and “the old and the new.” This cultural form embodies three core attributes： the structural integrity forged through the tension between continuity and innovation， the heterogeneity in national development reflected through a multi-dimensional and integrated pattern， and the people-centric axiology reinforced through conscious inheritance and self-directed revolution. Its significance in world history manifests in three dimensions： advancing the diverse development of world civilizations， building an open platform for mutual learning among civilizations， and initiating a new form of human civilization. Through the lens of a grand historical view， it becomes evident that the “new cultural lifeform” not only positions Chinese civilization within a framework of cultural subjectivity but also contributes a Chinese solution to the process of human modernization through the innovation of civilizational forms.

​​In the development of ecocriticism， pollution studies have manifested three distinct dimensions： the malady of civilization， the focus of political struggles and the coexistence of human beings and non-human beings， reflecting shifts in research priorities and theoretical approaches. In its incipient phase， pollution is understood as the result of human oppression and exploitation of nature， and a product of modern civilization under the guidance of anthropocentric ideology. Pollution governance is manifested as a reflection on modernity and human civilization. In the second stage， pollution is closely linked to the movement of the colonized， including vulnerable groups in underdeveloped countries and regions， in their struggle for political rights， with a focus on the division of responsibilities in the transfer of pollution. Both research approaches view pollution as an intra-human issue， differentiated primarily by their respective degrees of complexity. The third phase conceptualizes pollutants as agentic actors， requiring pollution mitigation strategies to address both their agential properties and potential ecological consequences for non-human life， thereby advancing an eco-political and environmental ethical framework grounded in care for non-human others.​