Exploring Science Academic Conference Series
The Conference Proceedings Series publishes peer-reviewed papers presented at the Exploring Science conferences. These proceedings are a valuable resource for the scientific community, providing access to the latest research findings, innovative methodologies, and interdisciplinary studies.
Vol. 25 (2026): Proceedings of the 2026 International Conference on Computer, Communications and Electronic Technology (IC-CCTE 2026)
ICCTE 2026 brings together leading researchers, engineers, and scientists from around the world to share their latest research results, explore new areas of research and development, and discuss challenges and practical solutions. Through collaborative discussion and knowledge sharing, the conference aims to advance the frontier of computer science, communications engineering, and electronic technology.
Copyright (c) 2026 IC-CCTE Conference Organizing Committee (Author) https://creativecommons.org/licenses/by/4.0
Audit of the New Economic Model: A Study on Revenue Recognition, Value Measurement and Audit Challenges in the Platform Economy
As the core form of the new economic model, the platform economy encompasses diverse business types including the sharing economy and the gig economy. Its traits of virtualized transactions, diversified participants and intricate revenue models have exerted a profound impact on the traditional accounting systems for revenue recognition and value measurement, as well as on practical auditing work. This paper starts with the business characteristics of the platform economy to analyze the core difficulties in judging the timing and amount of revenue recognition, as well as in measuring virtual assets and platform value. Combined with current accounting and auditing standards, it explores the unique challenges faced by audit procedures, risk identification and evidence acquisition under the new economic model. Finally, it puts forward optimized ideas for revenue recognition and value measurement that adapt to the characteristics of the platform economy, along with practical paths for innovating audit methods and preventing and controlling audit risks. The research is intended to provide theoretical reference and practical guidance for standardizing the accounting treatment of the platform economy and improving the quality and efficiency of auditing.
platform economy, revenue recognition, value measurement, audit challenges, new economic model
Copyright (c) 2026 Ziyun Shen (Author) https://creativecommons.org/licenses/by/4.0
ESG Factors and Asset Pricing Efficiency from the Perspective of Information Asymmetry:A Narrative Review
This narrative review systematically investigates the connection between the aspects of ESG and asset pricing efficiency with regard to the view of information asymmetry. As the analysis reveals, ESG has two impacts on prices: a signaling channel, whereby credible disclosures such as ratings and certifications address the information asymmetry in the stock market, and a trust channel, whereby the investors, because of their value congruence, reduce the risks associated with transactions. A central contribution is the development of a contingency framework demonstrating that the relative efficacy of these pathways depends on the information environment—signaling dominates in high-asymmetry contexts, while trust gains prominence as information becomes more abundant. The analysis further reveals that the moderating role of information asymmetry is shaped by heterogeneous conditions at the firm, market, and institutional levels. For instance, ESG signals exert stronger pricing effects in opaque environments, while trust mechanisms dominate in contexts with abundant information. The review constructs a contingency, which incorporates signaling and trust pathways. It concludes conflicting results in the literature and provides viable information to investors and regulators in improving the efficiency of the markets through prescribing a combination of measures that can be adopted in both opaque and transparent markets.
ESG disclosure, ESG rating adjustment, asset pricing, CAPM model, information asymmetry
Copyright (c) 2026 Yuxin Yi (Author) https://creativecommons.org/licenses/by/4.0
International Marketing Strategy Adaptation: A Driver of Global Value Chain Embedding: A Review of Chinese Firms
This study examines how international marketing strategy adaptation supports progressive embedding and upgrading of Chinese firms within global value chains (GVCs). A stage-based conceptual framework was developed by integrating network embeddedness theory and resource orchestration theory. A qualitative review approach was adopted, and comparative case analysis was conducted on Huawei and Lenovo to illustrate how firms navigate distinct challenges, opportunities and upgrading paths at different stages of GVC embedding. The findings reveal that marketing strategies play various roles across stages: facilitating market legitimacy at early stages, enabling relational integration at intermediate stages, and supporting strategic governance at advanced stages. Such marketing adaptation contributes to GVC upgrading primarily by mediating firms’ network embeddedness. This study contributes to international business and GVC literature by clarifying the contingent effect of marketing capabilities in value chain upgrading. It also offers managerial and policy implications by highlighting how downstream capabilities and relational strategies can support sustainable internationalization.
internationalization, marketing strategies, global value chain embedding, network embeddedness, resource orchestration
Copyright (c) 2026 Yaqing Wang (Author) https://creativecommons.org/licenses/by/4.0
The Economic Impacts of Automation in the Port Industry
The rapid digitalization of global maritime logistics has positioned port automation as a transformative force, but the theoretical understanding of its systemic economic implications is still insufficient. This study investigates the welfare consequences of automation-induced market restructuring across multiple economic agents within oligopolistic port governance frameworks. Through comparative case analysis of Shanghai's Yangshan Deep-Water Port, Qingdao Automated Terminal, and the Port of Rotterdam, the research synthesizes operational data, labor statistics, and cybersecurity incident reports to evaluate distributional effects. The findings reveal three interrelated pathologies: natural monopoly consolidation wherein the top decile of automated ports commands 40% of global container throughput; labor market polarization reducing traditional dockworker complements by approximately 70% while generating substantial skill premiums; and negative externalities manifesting as systemic cyber-vulnerability, with documented disruptions demonstrating cascadic supply chain contagion and unpriced social costs. These findings challenge efficiency-centric narratives by demonstrating that automation amplifies market concentration, exacerbates income stratification, and externalizes digital risk. The study contributes to transportation economics literature by formalizing the efficiency-resilience-equity trilemma inherent in port digitalization and provides an evidence base for regulatory interventions including cybersecurity subsidies and just-transition labor frameworks.
port automation, intelligent economy, cybersecurity vulnerability, supply chain resilience
Copyright (c) 2026 Minyou Chen (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Digital Transformation on Supply Chain Efficiency: A Case Study of JD Logistics
This paper investigates the mechanisms of digital transformation in enhancing supply chain efficiency, focusing on JD Logistics. The study reveals that the integration of the “Hyper-Brain 2.0” decision system and “Wolfpack” robotic execution has established a synergistic hardware-software architecture. Empirical data indicate that digital intelligence improved frontline operational efficiency by 20.24%, achieved a sorting accuracy of 99.98%, and shortened site selection cycles by 80%. Furthermore, the application of digital twin technology effectively mitigates the “bullwhip effect” by facilitating the logical convergence of order variance toward actual demand variance. Additionally, the externalization of digital capabilities contributed to a 14.1% counter-cyclical revenue growth. This research validates the transition of digital transformation from micro-operational efficiency to macro-value empowerment, providing a strategic paradigm for the industry.
digital transformation, supply chain efficiency, JD logistics, digital twin, variance convergence
Copyright (c) 2026 Shuo Wang (Author) https://creativecommons.org/licenses/by/4.0
A Literature Review of Audit Issues and Improvement Paths in the Context of ESG Information Disclosure
In the context of the global push for sustainable development, Environmental, Social, and Governance information disclosure has emerged as a crucial link between enterprises and the capital market, witnessing rapid growth worldwide. The implementation of the EU's Corporate Sustainability Reporting Directive (CSRD) and the enhanced disclosure requirements under China's dual - carbon goal are clear indicators of this trend. ESG information differs significantly from traditional financial information. It is non-financial, multi-dimensional, and highly subjective. These characteristics pose new challenges to the traditional audit model centered around financial data, especially in terms of the scope of verification, evidence collection, and professional judgment. Although the importance of ESG audit and assurance is increasingly recognized, existing research on ESG assurance is fragmented. There are inconsistencies in research conclusions regarding standardization, professional practices, and economic consequences. A systematic review and integration of these studies is urgently needed to meet the practical demands of the growing ESG disclosure landscape. This review consolidates fragmented ESG audit research and proposes actionable improvement paths to advance ESG assurance practice.
ESG information disclosure, ESG auditing, non-financial information assurance
Copyright (c) 2026 Huixin Feng (Author) https://creativecommons.org/licenses/by/4.0
AI-Driven Consumer Behavior Prediction and Brand Relationship Marketing: Technological Applications and Theoretical Mechanisms
Artificial intelligence (AI) has increasingly been applied in marketing to predict consumer behavior and enhance personalized interactions. While existing research emphasizes technological efficiency and predictive accuracy, limited studies systematically examine how AI-driven consumer behavior prediction influences long-term brand relationship marketing. This study provides a narrative literature review to analyze the theoretical mechanisms connecting AI capability, customer engagement, and brand relationship outcomes. Drawing upon customer journey theory, customer engagement theory, and customer equity theory, this paper proposes that engagement serves as a mediating mechanism between AI-driven personalization and brand performance. Furthermore, trust and data privacy concerns are identified as moderating factors shaping the effectiveness of AI-enabled marketing strategies. By integrating technological and relational perspectives, this study clarifies the theoretical foundation of AI in relationship marketing and identifies future research directions for empirical validation.
artificial intelligence, consumer behavior prediction, customer engagement, brand relationship marketing, trust
Copyright (c) 2026 Dan Li (Author) https://creativecommons.org/licenses/by/4.0
Research on Using Innovation to Address Poverty and Educational Inequality from a Socio-Economic Perspective
Poverty and educational inequality persist as two of the most formidable barriers to global sustainable development, forming a self-perpetuating cycle that undermines both social equity and economic prosperity. Grounded in the theoretical framework of socio-economics, which interrogates the intricate interplay between economic actions and social structures, this paper provides a comprehensive and systematic analysis of the mechanisms through which technological, institutional, and social innovations can effectively disrupt this cycle. The research argues that innovation serves not merely as a tool for incremental improvement but as a transformative force capable of reconfiguring resource allocation, dramatically lowering educational costs, and enhancing long-term social mobility. Through a mixed-methods approach that incorporates theoretical exposition, detailed global case studies, and critical policy evaluation, this study elucidates the pathways of impact and identifies key success factors. The findings robustly demonstrate that multi-stakeholder, integrated innovation strategies yield the most sustainable outcomes. Consequently, the paper proposes a multi-tiered set of actionable solutions and implementation pathways, offering an evidence-based reference for policymakers, private sector actors, and civil society organizations committed to forging inclusive, knowledge-based societies in line with the United Nations Sustainable Development Goals (SDGs).
socio-economics, poverty alleviation, educational equity, innovation mechanisms, sustainable development
Copyright (c) 2026 Shufan He (Author) https://creativecommons.org/licenses/by/4.0
Explaining Heterogeneous Effects of KOL–KOC Combinations: A Persuasion-Knowledge Framework for Multi-Source Influencer Marketing
Both key opinion leaders (KOLs) and key opinion consumers (KOCs) are frequently deployed by brands in short-video social commerce, In the existing studies on the effects of such multi-influencer combinations, there are various results ranging from synergy to no significant effect, and even negative consequences. This review synthesizes research on influencer marketing, multi-source information integration, and the Persuasion Knowledge Model (PKM) and develops a framework centered on consumers’ interpretation processes to explain this heterogeneity We hold the opinion that the combination of KOL and KOC is not inherently complementary. Its effectiveness depends on how consumers perceive the relationship between them. When the level of persuasion knowledge or skepticism is low, consumers are more likely to interpret multiple cues as independent confirmations, thereby enhancing the diagnosticity of perceived information and promoting purchase. When the level of persuasion knowledge is high, the same configuration is more likely to be interpreted as a coordinated persuasive behavior, thereby stimulating consumers' inference of the manipulative intention and psychological resistance, weakening or even reversing the persuasive effect. Integrating prior empirical and review evidence, we propose a dual-pathway, multi-source persuasion framework that explains when KOL–KOC combinations function as complements versus substitutes. By unifying diagnosticity-based information processing with reactance-based resistance mechanisms, this review clarifies the theoretical origins of heterogeneous influencer-mix effects and provides guidance for future research design and influencer portfolio strategies in short-video commerce.
key opinion leaders (KOLs), key opinion consumers (KOCs), persuasion knowledge(PK), perceived diagnosticity, psychological reactance
Copyright (c) 2026 Qingyu Liu (Author) https://creativecommons.org/licenses/by/4.0
Translanguaging and Flexible Bilingual Practices in Preschool Education: Strategies and Social Dynamics
Compared with bilingual education for adolescents, preschool bilingual education has historically received less research attention. This study focuses on constructing a structured translanguaging space for preschool children and has flexible bilingual practices to support children’s adaptation to a new language learning environment. A translanguaging space is defined as an environment that integrates diverse linguistic systems, cultural norms, customs and belief systems. Within this space, children utilize language as a resource, their mother tongue is valuable to learn new content and a second language. Flexible bilingual practices refer to pedagogical approaches that enable bilingual teachers to design and implement developmentally appropriate activities that bridge the mother tongue and second language. Through such approaches, children’s second language learning progress is accelerated, and they become more willing to express their own minds. Providing strategies to facilitate children’s second language learning for teachers and scientific guidance for children to learn a second language. Moreover, this study contributes to bridging the gap between theoretical perspectives on translanguaging and their practical application in early childhood education. It also highlights the importance of creating inclusive and low-anxiety learning environments to support young learners’ linguistic and socio-emotional development.
translanguaging, preschool bilingual education, flexible bilingual practices, second language acquisition, classroom interaction
Copyright (c) 2026 Xuqi Liu (Author) https://creativecommons.org/licenses/by/4.0
Differences in Communication between Trendy Doll Clothing and Chuxiong Yi Ethnic Costumes and Pathways for Their Inheritance
In the context of digital globalization and the upgrading of cultural consumption, the inheritance of intangible cultural heritage (ICH) and the dissemination of trendy culture exhibit markedly different development trajectories. Taking traditional Yi ethnic costumes from Chuxiong, Yunnan, and trendy doll clothing as research objects, this study systematically compares their communication differences across five dimensions—communicator, content, channel, audience, and effect—based on consumer society theory and algorithmic affordance theory. It explores the core reasons for the declining inheritance of Chuxiong Yi ethnic costumes. The findings reveal that significant differences in the composition of communication subjects, symbolic expression logic, channel operation and feedback mechanisms, audience demand matching, and transformation of communication effects are the key factors hindering the dissemination of Yi ethnic costumes. Based on these findings, this paper proposes practical suggestions including optimizing communication subjects and content, broadening and coordinating communication channels, and integrating platform economy to promote co-creation of ICH. The aim is to provide practical guidance for balancing cultural authenticity and market adaptability in the living inheritance of ethnic ICH costumes such as Chuxiong Yi ethnic costumes, while enriching the theoretical system of ICH communication within the context of consumer society.
Chuxiong Yi ethnic costumes, trendy doll clothing, living inheritance of intangible cultural heritage, symbolic consumption
Copyright (c) 2026 Hanlu Zhou (Author) https://creativecommons.org/licenses/by/4.0
Determinants of Stock Prices: A Quantitative Literature Review
Stock price behavior remains a central focus in financial economics, spanning macroeconomics, corporate finance, and behavioral finance. Traditional theory posits that stock prices reflect discounted future cash flows; however, empirical evidence shows that prices are also shaped by macroeconomic conditions, firm-level fundamentals, and investor sentiment. This paper provides a quantitative literature review of the determinants of stock prices, categorizing them into macroeconomic, microeconomic, and behavioral factors. Macroeconomic variables-such as interest rates, inflation, GDP growth, and policy interventions-affect market-wide valuations and volatility. Firm-specific fundamentals, including earnings, cash flow, leverage, and corporate governance, explain cross-sectional differences in returns, as captured by models like the Fama-French factor frameworks. Behavioral factors, such as overconfidence, herding, and loss aversion, account for deviations from fundamental values and market anomalies. Evidence suggests that no single factor alone fully explains stock price dynamics; instead, their interaction produces complex market behavior. The study highlights the need for integrated quantitative models that combine econometric, machine learning, and behavioral approaches to improve the understanding and modeling of stock price dynamics. Additionally, it identifies research gaps, including high-frequency data integration, cross-market spillovers, and the influence of algorithmic trading, pointing to future directions for more holistic frameworks in financial analysis.
stock prices, macroeconomic indicators, firm fundamentals, investor sentiment, behavioral finance
Copyright (c) 2026 Zhengyan Qu (Author) https://creativecommons.org/licenses/by/4.0
Vol. 23 (2026): Proceedings of 2026 International Symposium on Engineering Technology Innovation and Engineering Management (ISETIM 2026)
Our mission is to bridge disciplinary divides, amplify diverse viewpoints across engineering and management fields, and nurture lasting connections among professionals from around the world. The carefully curated program features keynote addresses by leading scholars in engineering and technology management, paper presentations spanning a broad range of thematic areas, and interactive sessions designed to inspire collaboration — all set against the backdrop of California's vibrant engineering ecosystem.
Copyright (c) 2026 ISETIM Conference Organizing Committee (Author) https://creativecommons.org/licenses/by/4.0
From Bench to Bedside: Multidimensional Clinical Applications and Challenges of CRISPR Genome Editing
CRISPR-Cas9 gene editing has shifted from the laboratory to clinical application in specific diseases, where, in β-hemoglobinopathies, disrupting the BCL11A erythroid enhancer can reactivate fetal hemoglobin, functionally curing transfusion-dependent β-thalassemia and sickle cell disease, ultimately giving birth to Casgevy™, the first approved CRISPR therapy. In oncology field, CRISPR-engineered T cells precisely insert CARs into TRAC locus or knock out immune checkpoints such as PD-1, thereby showing enhanced persistence, reduced exhaustion and high response rates in hematologic malignancies such as multiple myeloma, while in solid tumors, α-thalassemia due to large fragment deletions of HBA1/HBA2, hemophilia A limited by F8 cDNA size exceeding viral packaging capacity and acute respiratory viral infections such as SARS-CoV-2 and influenza, significant obstacles still exist. These challenges include inefficient delivery, lack of physiological bypass mechanisms, rapid viral mutation, and a narrow therapeutic window; furthermore, Casgevy™’s cost of up to 2.2 million dollars highlights a critical accessibility gap, with use limited to affluent healthcare systems. Emerging solutions include double-strand break-free base editors and prime editors, in vivo delivery via lipid nanoparticles, and multimodal therapeutic regimens; however, without synchronous progress in equitable pricing and global accessibility, CRISPR’s curative potential will remain unrealized for the majority of patients worldwide.
CRISPR-CAS9, T-cell, gene therapy, hematological genetic diseases, antiviral immunity
Copyright (c) 2026 Aolin Zhao (Author) https://creativecommons.org/licenses/by/4.0
Research Progress on Continuity of Care for Disabled Elderly Individuals from the Perspective of Integrated Medical and Elder Care: A Review
This study systematically reviews research concerning continuity of care for disabled elderly individuals within the framework of integrated medical and elder care. The objective is to clarify conceptual connotations, practice models, influencing factors, and outcome evaluations, thereby providing a reference for service optimization. A comprehensive literature search was conducted in databases such as CNKI and Web of Science, with 25 core publications selected for integrated analysis. Current research defines the core connotations of continuity of care through multiple dimensions, resulting in various practical models including institution-to-institution transitions, institution-community-family linkages, and integrated care. The implementation of continuity of care is influenced by multi-level factors such as policy frameworks, organizational management, service providers, and patient families. Evidence suggests that these models yield positive effects in improving clinical outcomes and enhancing the quality of care. However, existing studies exhibit limitations in intervention design, standardized evaluation criteria, and focus on rural areas. Future research should prioritize the construction of localized theoretical frameworks, high-quality intervention studies, and the empowerment of information technology to facilitate the perfection of continuity of care systems for the disabled elderly.
integrated medical and elder care, disabled elderly, continuity of care, care models, research progress
Copyright (c) 2026 Yuhe Liu (Author) https://creativecommons.org/licenses/by/4.0
Mechanism Study on Enhancing ADCC Effect of Antibody Drugs via Fc Fragment Defucosylation Modification
Antibody drugs specifically recognize tumor antigens through their Fab fragments and bind to Fcγ receptors on the surface of immune effector cells via their Fc fragments, which promotes antibody-dependent cell-mediated cytotoxicity (ADCC) and thus eliminates target cells. Core fucose residues on the N-glycans of the Fc fragment hinder the high-affinity binding between antibodies and FcγRIIIa through a steric hindrance effect. The affinity between antibodies and FcγRIIIa can be increased by 10 to 50 times after fucose removal, and the ADCC effect is significantly enhanced. This paper systematically elaborates on the molecular mechanism by which defucosylation modification enhances ADCC, introduces its technical implementation paths and development history in detail, and verifies the clinical value of this strategy with Obinutuzumab as an example. On this basis, the paper further discusses the clinical benefits and potential risks of defucosylated antibodies, analyzes the impact of FcγR gene polymorphism on therapeutic efficacy, introduces the latest progress of Obinutuzumab in the treatment of lupus nephritis, and looks forward to the application prospects of this technology in the research and development of the next-generation antibody drugs.
Fc fragment modification, defucosylation, ADCC, FcγRIIIa, obinutuzumab, glycosylation engineering
Copyright (c) 2026 Ziqing Weng (Author) https://creativecommons.org/licenses/by/4.0
Molecular Mechanism of LSD1 Inhibition-mediated Selective Chromatin Opening: Specific Regulation of Tumor Differentiation-related Loci and Clinical Implications
Acute Myeloid Leukemia (AML) is characterized by a differentiation block of hematopoietic cells, with Lysine-Specific Demethylase 1 (LSD1) emerging as a key epigenetic regulator that silences myeloid differentiation genes to maintain leukemic stem cell stemness. This review elucidates the molecular mechanisms of LSD1 inhibition-mediated selective chromatin opening in AML therapy, including LSD1’s structural basis and its assembly in CoREST and NuRD repressive complexes. LSD1 inhibitors act by disrupting the LSD1-GFI1 interaction via steric hindrance, triggering NuRD-to-SWI/SNF chromatin remodeling switch, and reactivating PU.1/C/EBPα-dependent myeloid enhancers. Beyond histone demethylation, LSD1 modulates non-histone substrates (p53, DNMT1, E2F1, STAT3) to regulate cell apoptosis, DNA methylation, and the cell cycle. We further discuss translational advances, such as PROTAC degraders and combination regimens, as well as clinical challenges, including hematologic toxicities and drug resistance. This review highlights LSD1 as a promising epigenetic target and mechanistically informed combination therapies as the future direction for unlocking the AML differentiation block and improving clinical outcomes.
LSD1, acute myeloid leukemia (AML), chromatin remodeling, differentiation therapy, epigenetic regulation
Copyright (c) 2026 Zhihan Yang (Author) https://creativecommons.org/licenses/by/4.0
Vol. 22 (2026): Proceedings of 2026 5th International Academic Conference on Innovation in Culture and Arts (IACICA 2026)
2026 5th International Academic Conference on Innovation in Culture and Arts (IACICA 2026) will be held in Tokyo, Japan during November 6-9, 2026. It is jointly organized by the Editorial Department of the Journal of Language, Culture and Education (JLCE) and the Editorial Department of Art Sciences. It aims to provide a forum for researchers, scholars, educators, and professionals from academia, cultural institutions, and creative industries to discourse on research findings, pedagogical practices, and innovative applications in language, culture, and arts. The conference serves to foster communication among researchers and practitioners working in a wide variety of disciplines with a common interest in advancing cross-cultural understanding and artistic expression. It also brings authors and readers together to communicate face to face and discuss opportunities for possible collaboration and emerging trends in the field of culture and arts innovation.
Copyright (c) 2026 IACICA Conference Organizing Committee (Author) https://creativecommons.org/licenses/by/4.0
The Impact of Economic Openness on Capital Stock: An Empirical Analysis Based on Technological Innovation and Industrial Structure Optimization
Against the backdrop of the restructuring of economic globalization and the continuous advancement of high-level opening-up strategies, economic openness, as a key factor influencing regional capital accumulation, holds significant practical importance for promoting high-quality economic development. Based on provincial panel data from China for the period 1998–2019, this paper employs fixed effects models and panel instrumental variable methods to investigate the effect of economic openness on capital stock, its underlying mechanisms, and regional heterogeneity. The results show that economic openness significantly promotes the increase of capital stock. The mediation effect analysis indicates that economic openness promotes capital accumulation through two pathways: enhancing technological innovation capability and optimizing industrial structure. Heterogeneity analysis reveals that the promotional effect of economic openness on capital stock is more pronounced in the eastern and western regions. Based on these findings, the paper proposes policy recommendations including continuously advancing institutional opening-up, strengthening the mediating role of economic growth capacity between economic openness and capital stock, and implementing differentiated regional opening strategies.
economic openness, capital stock, technological innovation, industrial structure optimization
Copyright (c) 2026 Yifei Zhang (Author) https://creativecommons.org/licenses/by/4.0
The Principle of Non-Extradition of Political Offenders: Contemporary Dilemmas and Institutional Improvement
This paper takes the contemporary application dilemmas of the principle of non-extradition of political offenders as its research object, aiming to deconstruct the underlying logic of its institutional failure, remedy the shortcomings of existing research—characterized by fragmentation and insufficient systematic analysis—and provide theoretical support for its normative application and institutional improvement. Employing normative analysis, comparative analysis, and case analysis, this paper reviews relevant international rules and national legislations and dissects the application dilemmas through classic judicial precedents. The study finds that the principle confronts four systemic dilemmas: the inherent shackles of the absence of a definition of political crime, the failure of the binary classification system, and the fragmentation of recognition standards; the practical adaptation crisis triggered by the rise of transnational terrorism; the institutional instrumentalization and alienation caused by political interest interference and the expansion of administrative discretion; and the failure of human rights protection resulting from the disconnection between extradition and asylum procedures and the absence of cross-procedural res judicata. On this basis, this paper proposes institutional improvement pathways across four dimensions, asserting that the humanitarian core of the principle retains irreplaceable value and can offer practical references for the international extradition regime to balance sovereignty maintenance, transnational crime governance, and human rights protection.
principle of non-extradition of political offenders, political crime, extradition system, human rights protection, international criminal justice cooperation, political asylum
Copyright (c) 2026 Siyi Li (Author) https://creativecommons.org/licenses/by/4.0
Narrative Strategies and Cultural Expression in Chinese and Global Micro-Dramas: A Comparative Textual Analysis
This study examines six representative micro-dramas from major Chinese and international platforms between 2025 and 2026, conducting a comparative textual analysis across three dimensions: narrative temporal structure, character relationship construction, and narrative driving mechanisms. Drawing on transcultural communication theory and Genette’s narrative discourse theory, the study analyzes how narrative strategies are shaped within different cultural contexts. The findings suggest that Chinese micro-dramas tend to incorporate social relations and ethical concerns into high-density narrative structures, characterized by temporal extension and emotional accumulation. In contrast, international micro-dramas rely on highly compressed plot progression and typified character relations, emphasizing immediate emotional stimulation and linear task-driven narratives. These differences reflect distinct trade-offs between emotional articulation and communicative efficiency across cultural contexts. The study offers a structured analytical framework for examining micro-dramas in cross-cultural contexts, contributing to ongoing discussions on short-form media and global content circulation.
micro-dramas, text analysis, cross-cultural communication, narratology, case study
Copyright (c) 2026 Shiyu Huang (Author) https://creativecommons.org/licenses/by/4.0
Legal Risk Determination of “AI Face Swapping”
With the rapid development of artificial intelligence technology, AI face-swapping technology has been widely applied in fields such as film, television, and advertising. However, it has also triggered numerous legal risks. Therefore, by analyzing relevant legal provisions and typical cases, clarifying the criteria for determining copyright and portrait right infringements in AI face-swapping activities, as well as the principles for allocating liability among multiple subjects, effective legal guidance can be provided for the compliant application of AI face-swapping technology and for rights holders to protect their rights. At the copyright level, the determination of the “access” element should adopt a relaxed standard, and AI face swapping should be assessed for substantial similarity through a combination of the “overall impression method” and the “abstraction-filtration-comparison method.” At the portrait right level, as long as the public can associate the synthetic content with a specific natural person, it constitutes “identifiability” and is suspected of infringing personal information, regardless of whether there is profit motive. In practice, the infringer must simultaneously bear joint liability for both copyright and portrait right infringements; if a platform fails to promptly fulfill its “reasonable care” obligation by taking necessary measures such as deletion or blocking, it shall bear joint and several liability; and if the provider of AI face-swapping technology fails to establish necessary mechanisms to fulfill its reasonable control obligations, it shall bear presumed fault liability.
AI face swapping, copyright, portrait right, fair use, liability allocation
Copyright (c) 2026 Jinghao Wang (Author) https://creativecommons.org/licenses/by/4.0
Parent-Child Conflict Resolution Strategies and Approaches Regarding Adolescents’ Electronic Device Use
Excessive use of electronic devices among adolescents has become a major source of conflict in contemporary families. Based on an analysis of the specific manifestations and underlying causes of parent-child conflict, this paper proposes a multi-dimensional solution that focuses on family communication, the formulation of usage rules, psychological intervention, and social support. The study shows that establishing clear time boundaries for device use, conducting non-judgmental dialogues, implementing positive reinforcement strategies, and seeking professional psychological counseling support can significantly improve the quality of family relationships and reduce the frequency of conflicts. This paper emphasizes the importance of parents improving their own digital literacy and serving as role models, as well as the supportive role of schools and communities in resolving such conflicts.
electronic device use, parent-child conflict, family communication, behavioral intervention
Copyright (c) 2026 Zihan Zhao (Author) https://creativecommons.org/licenses/by/4.0
Exploring Teaching Pathways for Han Chinese Folk Songs in Primary Schools under the Guidance of Large Unit Instruction
Han Chinese folk songs are not only an important component of traditional Chinese musical culture but also one of the main channels for music education in primary schools. Currently, the teaching of folk songs in primary schools suffers from issues such as fragmented and superficial content, cultural disconnection, and a lack of continuity across grade levels, resulting in the educational value not being fully realized. The concept of large unit teaching is guided by the design principles of cultural relevance, aesthetic focus, structural coherence, and grade-level appropriateness. It integrates unit content through two main threads—regional culture and genre function—and proposes differentiated implementation strategies according to different school stages. This approach aims to shift students from “learning a single song” to “understanding a type of culture,” providing a concrete practical framework for the implementation of core competencies.
large unit teaching, primary school music education, Han Chinese folk songs, cultural inheritance, teaching strategies
Copyright (c) 2026 Xiaohang Ma (Author) https://creativecommons.org/licenses/by/4.0
Informal Economy Serves as Feedback to Urban Space
In the process of China’s rapid urbanization, the informal economy has long played the role of an “invisible engine,” supporting employment absorption, consumption supplementation, and urban space utilization. However, existing studies have predominantly focused on the governance of the informal economy, with relatively little attention paid to how it conversely nourishes urban space. Sanxia Square, as a traditional core commercial district in Chongqing, provides a typical sample for observing informal urbanization through its distinctive street-vendor ecosystem. This study aims to reveal the spatial mechanisms, economic resilience, and development pathways of street-vendor economies within modern commercial systems by integrating macro-level theory, statistical modeling, and micro-level fieldwork. Employing informal employment estimation formulas, panel data regression models, and coupling coordination degree models, combined with long-term observations of Sanxia Square and census data, the analysis is conducted across micro-, meso-, and macro-levels. The findings indicate that the street-vendor economy is not a “low-end remnant” of modern cities, but rather a functional and structural force of informal urbanization within the urbanization process, constituting an important component of sustainable urban spatial growth.
street-vendor economy, informal economy, spatial sociology, urban governance
Copyright (c) 2026 Yimin Chen (Author) https://creativecommons.org/licenses/by/4.0
A Review of Knowledge Graph-Based Research on Tourism Destination Risk Management from 2006 to 2025
Risk management of tourist destinations is an important research field in the discipline of tourism. With the development of tourism, more scholars are engaged in this field of research, and it is very important to make a comprehensive assessment of its current situation. This article takes the core collection of Web of Science as the data source, selects 323 literatures published between 2006 and 2025 as research samples, and systematically analyzes the publication trends in this field and other fields, aiming to reveal the evolutionary vein, knowledge structure and cutting-edge dynamics of tourist destination risk management research. The research of existing scholars in this field has extended from single risk management to multi-risk control, including natural risks, economic risks and other dimensions. The research covers the three major knowledge sections of micropsychology, risk response and governance value. In general, tourist destination risk management research is undergoing a profound transformation from “emergency response” to “advance prevention” and from “micropsychology” to “macro governance”. This study systematically outlines the knowledge atlas in the field of tourist destination risk management, clarifies the classic literature genealogy and frontier dynamics for the follow-up research in this field, and provides clear guidelines for researchers to grasp the academic context and find innovative entry points.
tourist destination, risk management, knowledge graph, bibliometrics
Copyright (c) 2026 Yuhan Liu (Author) https://creativecommons.org/licenses/by/4.0
Consumer Behavior Research under the Sharing Economy Model
With the rapid development of Internet technology, platform economy has emerged and flourished. The sharing economy, as a typical representative of platform economy, has rapidly risen globally. The sharing economy takes the sharing of idle resources as the core, and connects the supply and demand sides through the Internet platform, realizing the optimal allocation and efficient use of resources. This article aims to explore the changes in consumer behavior and their influencing factors under the sharing economy model. Through literature review and empirical research, this article analyzes the characteristics of consumer motivation transformation, personalized consumption patterns, and enhanced social attributes in the sharing economy model. Meanwhile, this article also explores the impact of economic, socio-cultural, and technological factors on consumer behavior. However, the research results indicate that there are also some problems with the sharing economy model, and this article will propose relevant suggestions based on these issues. The research in this article is of great significance for understanding the operational mechanism of the sharing economy model, optimizing consumer experience, and promoting the sustainable development of the sharing economy model in the era of platform economy.
platform, sharing economy, consumer behavior, business model
Copyright (c) 2026 Kexin Zheng (Author) https://creativecommons.org/licenses/by/4.0
The Policy of Separate R&D Expense Allocation and Capital Market Stability: Empirical Evidence Based on Stock Liquidity
Taking the 2018 revision by the Ministry of Finance regarding the “separate listing of R&D expenses” as the research context, this study employs a difference-in-differences (DID) model to examine the impact of separate R&D expense listing on stock liquidity fluctuations in the capital market. The results indicate that the separate R&D expense listing policy significantly improves corporate stock liquidity, and this conclusion remains valid after robustness tests. Mediating mechanism tests show that the policy enhances stock liquidity through two pathways: improving the comparability of accounting information and alleviating corporate financing constraints. Heterogeneity analysis reveals that the policy effect is more pronounced in small and medium-sized enterprises (SMEs) and enterprises with lower levels of external media supervision. This study provides empirical evidence for understanding the impact of accounting information disclosure policies on capital market stability, and offers references for policy optimization and corporate decision-making.
separate listing of R&D expenses, stock liquidity, difference-in-differences model, accounting information, financing constraints
Copyright (c) 2026 Sihan Fan (Author) https://creativecommons.org/licenses/by/4.0
LTβR Agonist and IFN-I Cooperatively Induce Antitumor Tertiary Lymphoid Structure Formation: Mechanisms and Therapeutic Prospects
This review systematically explores the antitumor strategy of combining lymphoxin beta receptor agonists with type I interferons to induce tertiary lymphoid structure formation, thereby transforming “cold” tumors into “hot” tumors. The article pointed out that this combination therapy can synergistically overcome the microenvironmental barriers of “cold” tumors: LTβR agonists provide structural scaffolds for the formation of tertiary lymphoid structures by activating tumor stromal cells, especially inducing high endothelial vein generation to promote lymphocyte homing; Type I interferon, on the other hand, provides powerful immune activation signals through its downstream signaling pathway, including promoting the recruitment and activation of B cells and T cells, enhancing the function of antigen-presenting cells, and driving B cells to differentiate into follicular-like B cells. Preclinical studies have confirmed that this strategy can effectively enhance the efficacy of existing therapies such as immune checkpoint inhibitors and chimeric antigen receptor T cells, and induce durable anti-tumor immune memory in neoadjuvant therapy, showing broad clinical translation prospects.
tertiary lymphoid structures, LTβR agonist, type I interferon, tumor immunotherapy
Copyright (c) 2026 Xiaoyin Wang (Author) https://creativecommons.org/licenses/by/4.0