This paper examines the dynamics of human-nature symbiosis in Sherpa cultures in the Himalaya using a holistic approach to faith practice. It stresses the role of Sherpa ecological knowledge and spiritual practices in enabling sustainable high-altitude living, and delves into how climate change, tourism, modernization, and decentralization have challenged this historical symbiosis. Drawing on a literature review, the authors conclude that Sherpa cultures have historically integrated sacred places, rituals and adaptive livelihoods, such as rotational cultivation and vertical migration, into a social ecosystem. But rapid glacier melt, farming instability, and increasing tourism-market values undermine ecological knowledge and cultural inheritance. Meanwhile, the disconnect between conservation policies and indigenous practices further deepens the disconnect between spiritual values and ecological practices. To overcome these challenges, the research suggests holistic approaches such as community-based co-management, local capacity building for ecological roles, sustainable tourism transformation and ecological compensation. It suggests that, in order to be sustainable, it is not enough to maintain cultural beliefs, but to rebuild the dynamic connections between beliefs and ecological practices. By focusing on the dynamic "belief-practice nexus", the study offers a comprehensive approach to determining and enhancing human-environment relations in vulnerable mountain environments, and provides both theoretical implications for indigenous ecology and practical implications for sustainable community development.

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As artificial intelligence technology spreads in children's studies and daily life, all sorts of changes have occurred in their early cognitive abilities, language, and social skills, etc. In light of the above, artificial intelligence, developmental psychology, and early childhood education have been integrated to conduct this research. A literature review method will be used to gather the 14 relevant studies published at home and abroad. This paper will try to answer three problems: What is the basic nature of artificial intelligence in children's growth? In what ways does it have the potential to promote the development of early childhood education? At what stages will it be at risk of development? It has been determined in this study that artificial intelligence can be regarded as a "tool" to extend children's cognition and as "other feedback" in the process of building knowledge. It has shown good results in early-stage assessment accuracy, language study, creativity development, and related areas. However, it is also problematic because it entails uniformity of thought, the absence of subjectivity, and other obstacles to social development. Therefore, this paper argues that the main direction for future development should be to place children at the forefront of artificial intelligence technology and to build a cognitive development ecosystem that prioritizes both dynamic artificial monitoring and humanistic care. The above measures will help children grow normally and personally in all aspects during the age of intelligence and information.

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This article provides a case study scope into the industrial development of artificial intelligence healthcare product. By sorting and showcasing the traditional critics on next generation techno-innovation, this study examines possible challenges of healthcare application and industry, with each challenges illustrated by industrial cases. Healthcare products are different from retail or simple product-ending franchise. The goal of customer could be shifting from enjoyment to soothing or relief, sometimes even to dignity of the final hour of mortality. To set this goal correctly in the process of industry development, building trust and understanding user trust is a core task. This task is both the side of products and the communication of industry-costumer groups. Ant Afu application is chosen for a case study point of view to further discuss in this study. It is argued that for next generation of AI healthcare products, the user trust building could be one of greatest challenges.

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With the development of generative artificial intelligence, cloud computing and the platform economy, the scale of cross-border flow of financial data is continuously expanding. In AI financial applications, the processing of personal information is characterized by automation, continuity and concealment, which may render traditional personal information protection methods ineffective. The dominant position of platforms in data collection, algorithm training and cross-border transmission has gradually transformed them from traditional technical intermediaries into important subjects of risk control and rule-making. China has now formed a data governance model centered on thePersonal Information Protection Law, theData Security Lawand theCybersecurity Law, but there is still a lack of effective institutional responses to the issue of platform liability in the cross-border flow of AI financial data. From the perspective of platform liability, this paper analyzes the types of personal information infringement, the logic of platform liability, the current regulatory dilemmas and the paths for institutional improvement in the cross-border flow of AI financial data, and proposes a platform governance model with Chinese characteristics on the basis of drawing on foreign institutional experience.

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