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Research Article
Exploration on the Optimisation the Spatial Pattern of Islands in Fujian Province, China
Issue:
Volume 14, Issue 4, August 2026
Pages:
109-114
Received:
10 June 2026
Accepted:
14 July 2026
Published:
13 August 2026
DOI:
10.11648/j.si.20261404.11
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Abstract: Islands are crucial for the ecological security, coastal economy, and safeguarding national maritime rights and interests, with their high-quality growth being a key regional transformation issue. Fujian is characterized by a spatial agglomeration of numerous islands and diverse developmental endowments. However, the island development in Fujian is confronted with structural challenges, mainly manifested in: over-reliance on tourism in central islands, leading to severe industrial homogenization; insufficient connectivity with remote islands; and poor alignment between the management of uninhabited islands and development demands, all of which constrain the high-quality development of the marine economy. This study, employing a comparative analysis of island economic development levels, underscores the urgent need to construct a scientific, competitive, and new pattern for island development. Based on the spatial planning pattern of “One Belt, Two Cores, Six Bays, and Multiple Islands” in Fujian Province, this study draws on typical cases of international island development from South Korea, Japan and Ecuador, and proposes a differentiated spatial pattern construction path characterized by “classified policy implementation and functional complementarity”. By comprehensively evaluating islands' scale, location, resource endowments, and ecological carrying capacity, this study innovatively proposes the establishment of an island development and utilization pattern characterized by classified strategies and complementary functions. Specifically, for county-level islands, we suggest promoting diversified comprehensive development, moderately introducing high-tech industries and emerging marine industries that have minimal environmental impact, thereby avoiding the dominance of tourism to the neglect of other industries' coordinated development. For offshore islands with excellent tourism resources, the focus should be on improving infrastructure, enhancing service quality, and creating livable and travel-friendly boutique tourist destinations. As for remote islands, active exploration of the "zero-carbon island" development model is recommended, using clean energy to improve residents' lives under strict ecological protection. This research provides robust theoretical and practical guidance for Fujian's islands to transition from extensive to high-quality development, offering valuable insights for sustainable growth in similar coastal regions. The research aims to break the bottleneck of island development homogenization, provide scientific decision-making support for the practical application of the land-sea coordination theory, and holds both theoretical and practical significance for promoting the green and low-carbon transformation of Fujian’s marine economy and constructing resilient island spaces.
Abstract: Islands are crucial for the ecological security, coastal economy, and safeguarding national maritime rights and interests, with their high-quality growth being a key regional transformation issue. Fujian is characterized by a spatial agglomeration of numerous islands and diverse developmental endowments. However, the island development in Fujian is...
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Research Article
Research on the Impact of Integrated Innovation of
Multi-stakeholder Joint Innovation Teams on Collaborative Innovation Performance
Du Jingchen
,
Ge Yuhui*
Issue:
Volume 14, Issue 4, August 2026
Pages:
115-121
Received:
10 June 2026
Accepted:
14 July 2026
Published:
13 August 2026
DOI:
10.11648/j.si.20261404.12
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Abstract: Against the backdrop of China’s full implementation of the innovation-driven development strategy and accelerated construction of a modern industrial system, breaking down innovation barriers among industry, universities, research institutes and end users to realize the sharing of innovation resources serves as a core measure to overcome key core technologies and advance the industrialization of scientific and technological achievements. Under such circumstances, integrative innovation within multi-actor collaborative innovation teams has become an important approach to promoting the deep integration of technological and industrial innovation. This study develops a theoretical model linking integrative innovation, knowledge co-creation, team adaptability, and collaborative innovation performance. Based on 148 valid questionnaires, multiple regression analysis and the Bootstrap method were employed for empirical testing. The results indicate that resource integration, cognitive integration, and governance integration all have significant positive effects on collaborative innovation performance, with governance integration exerting the strongest influence. Knowledge co-creation partially mediates the relationship between integrative innovation and collaborative innovation performance. However, the moderating effect of team adaptability on the relationship between integrative innovation and knowledge co-creation is not significant. The findings enrich the literature on integrative innovation and collaborative innovation performance.
Abstract: Against the backdrop of China’s full implementation of the innovation-driven development strategy and accelerated construction of a modern industrial system, breaking down innovation barriers among industry, universities, research institutes and end users to realize the sharing of innovation resources serves as a core measure to overcome key core t...
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Research Article
Music Healing Empowering College Students' Mental Health: An Empirical Study
Xinghui Zhang*
Issue:
Volume 14, Issue 4, August 2026
Pages:
122-131
Received:
8 June 2026
Accepted:
14 July 2026
Published:
13 August 2026
DOI:
10.11648/j.si.20261404.13
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Abstract: Against the backdrop of surging mild emotional distress among contemporary college students and prominent structural dilemmas in traditional university mental health services including severe counselor-staff shortages, help-seeking stigma and poor intervention sustainability, this study takes music healing as a low-threshold preventive psychological empowerment approach and constructs a multi-level “physiological-psychological-social” regulatory mechanism grounded in neurologic music therapy, interoception theory and interpersonal synchrony theory. An explanatory sequential mixed-methods design was adopted, combining an 8-week randomized controlled group intervention and post-intervention semi-structured interviews. A total of 89 valid undergraduates and postgraduates with mild to moderate depressive tendencies were divided into an intervention group and a waitlist control group, with multiple psychological scales, partial physiological indicators and self-developed behavioral transfer questionnaires deployed to collect data at pre-intervention, post-intervention and four-week follow-up stages. Quantitative statistical results revealed that the structured four-stage music healing program significantly reduced participants’ depression, anxiety and stress levels, improved cognitive reappraisal ability, mindfulness awareness and social connectedness, and generated stable cross-scenario adaptive behavioral transfer effects that remained partially sustained one month after intervention. Qualitative thematic analysis further supplemented embodied, interpersonal and daily practical experience evidence to interpret the internal action paths of the theoretical model. This research innovatively shifts the research focus of music intervention from mere symptom relief to long-term psychological empowerment, systematically verifies the three parallel interactive regulatory pathways of music healing, and provides a complete operable group intervention protocol suitable for campus scenarios. The study also identifies limitations including single-school sample representativeness and insufficient synchronized physiological evidence, and proposes targeted directions for future neural mechanism exploration, culturally localized intervention development and university implementation science research. The findings offer solid theoretical support and practical guidelines for embedding standardized music healing modules into college mental health education and service systems.
Abstract: Against the backdrop of surging mild emotional distress among contemporary college students and prominent structural dilemmas in traditional university mental health services including severe counselor-staff shortages, help-seeking stigma and poor intervention sustainability, this study takes music healing as a low-threshold preventive psychologica...
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Research Article
AI-Assisted Educational Innovation Model for Teaching Lexical Argumentation in Russian Literary Texts
Gong Ping*
Issue:
Volume 14, Issue 4, August 2026
Pages:
132-137
Received:
9 June 2026
Accepted:
14 July 2026
Published:
13 August 2026
DOI:
10.11648/j.si.20261404.14
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Abstract: This article proposes an educational innovation model for artificial intelligence-assisted analysis of lexical argumentation in Russian literary texts for Chinese learners. The study begins with a practical problem in Russian-literature classes: intermediate learners can often translate individual words, but they do not always see how lexical choices create implicit persuasion, authorial evaluation and cultural meaning. The literary material is Evgeny Vodolazkin’s novel Lavr (known in English as Laurus), especially a fragment organized around the opposition between word and silence. Generative AI is treated not as a source of ready-made commentary, but as a supervised tool for discovery, checking and reformulation. The model includes five steps: AI-based preliminary annotation, textual verification, functional classification, intercultural reflection and teacher-guided reformulation. A classroom case compares the outputs of ChatGPT, Yandex Alice AI and DeepSeek. The classroom case suggests that these tools may help learners notice lexical clusters related to speech, silence, spiritual authority and implicit persuasion, while also pointing to risks of overbroad context, paraphrase-based interpretation and cultural flattening. Rather than presenting a large-scale experiment, the article offers a qualitative classroom design that can be adapted to humanities courses where text evidence, tool choice and teacher judgment need to be coordinated. The value of AI lies in organizing a verified human-AI dialogue that helps students move from translation and retelling to evidence-based analytical writing.
Abstract: This article proposes an educational innovation model for artificial intelligence-assisted analysis of lexical argumentation in Russian literary texts for Chinese learners. The study begins with a practical problem in Russian-literature classes: intermediate learners can often translate individual words, but they do not always see how lexical choic...
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