This study, grounded in a Marxist “technology–institution–value” three-dimensional analytical framework, examines the internal mechanisms and collaborative pathways through which artificial intelligence (AI) can empower the construction of a China–Cambodia community of shared future. The research finds that, although preliminary coordination exists between China and Cambodia in technological complementarity, institutional frameworks, and value alignment, several challenges persist. These include technological bottlenecks such as weak infrastructure, limited data resources, and a lack of innovation ecosystems; institutional barriers including misaligned laws and regulations, fragmented supervision, and difficulties in standard harmonization; as well as value-related gaps such as differences in cultural perceptions, fragile foundations of mutual trust, and insufficient social participation. To address these challenges, three strategic pathways—technological coordination, institutional alignment, and value consensus—are proposed to build a systematic solution structured around “foundational support–institutional guarantees–social integration.” This framework provides theoretical guidance for China–Cambodia AI cooperation and offers insights for innovating digital collaboration models within the Belt and Road Initiative.

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The differentiation and antagonism between humanity and nature produced by capitalist civilization constitute the core of Marx’s thought on the relationship between humanity and nature. Through his critique of alienated labor, Marx identified private ownership as the social root of this division and opposition, and clarified that the realization of the “two reconciliations” must be grounded in the sublation of alienated labor. Marx further dissected the internal operating mechanisms of capitalist society and, taking wage labor as his point of entry, elucidated the general laws governing the material metabolism between humanity and nature. In doing so, he identified both the preconditions for the emergence of metabolic rifts between humanity and nature and the conditions under which such rifts may be repaired. Marx demonstrated the rationality of constructing an ideal vision of harmonious human–nature development on the basis of free labor. By following the laws of beauty, free labor enables an initial reconciliation between humanity and nature, transcends alienated and wage labor through the association of free individuals, and thereby propels human society from the realm of necessity toward the realm of freedom. Upholding Marx’s thought on the relationship between humanity and nature in the new era is conducive to advancing a new chapter in which labor creates harmonious coexistence between humanity and nature.

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Based on an interdisciplinary integration of Wu Kun’s theory of social information and narratological theory, this paper constructs the emerging cross-disciplinary field of social information narratology. By revealing the ontological isomorphism between the three states of information (information-in-itself, information-for-itself, and regenerated information) and the three levels of narrative (story, discourse, and narration), the study demonstrates the deep-seated unity of the two theoretical systems at the levels of ontology, epistemology, and praxis. The findings indicate that the “unity of three qualities” of social information provides an ontological foundation for narrative practice, while the paradigmatic transformation of narratology directly responds to the historical demands of the philosophical revolution in information. Practical forms such as news narratology, Marxist philosophical narratology, and television media narratology substantiate the historical inevitability of this unity. Social information narratology not only reconstructs the theoretical framework of information communication but also reveals the essential laws governing the generative mechanism of “information–symbol–meaning,” thereby offering a new theoretical horizon for cultural production and social cognition in the digital age.

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Digital health technologies exhibit substantial potential in the management of chronic conditions, yet their uptake among middle-aged and elderly patients continues to be notably sluggish, resulting in a prominent "acceptance gap." To unravel the psychological underpinnings of this phenomenon, this study integrates the Health Belief Model (HBM) and the Technology Acceptance Model (TAM) to construct a comprehensive analytical framework. A cross-sectional survey was conducted among 409 chronic disease patients aged 45 and above in an eastern Chinese city, and the proposed integrated model was validated using structural equation modeling. The results demonstrated a good model fit (χ²/df = 2.78, CFI = 0.93, RMSEA = 0.06). Specifically, perceived usefulness/benefits, perceived severity of disease, and self-efficacy emerged as significant positive predictors of behavioral intention, while perceived barriers exerted a marked negative influence. Social influence and perceived ease of use played crucial indirect roles by enhancing perceived usefulness/benefits and self-efficacy. Notably, the direct effect of perceived susceptibility on behavioral intention was not statistically significant. This study confirms the effectiveness of the integrated model in explaining usage intentions. To bridge the acceptance gap, multi-dimensional strategies are required: optimizing design to improve ease of use and enhance user self-efficacy, clearly conveying the core health values of digital tools in promotional efforts, and actively leveraging recommendations from healthcare professionals to drive adoption.

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