International Journal of Global Perspectives in Academic Research
International Journal of Global Perspective in Academic Research (IJGPAR) is a renowned and respected academic publication, committed to rigorous scholarship and fair peer review. Our goal is to disseminate outstanding academic research and promote progress and discussion from a comprehensive international perspective. We sincerely encourage authors conducting high-level research to submit their findings to our journal. With the support of our editorial team, we are dedicated to a swift and efficient review process, ensuring the timely publication of your academic contributions.。
Chinese-Mongolian Cultural Values and Divergent Internal Control Practices
This study explores the interplay between Chinese and Mongolian cultural values and their divergent internal control practices, rooted in distinct historical and social contexts. Chinese cultural values, shaped by Confucianism, emphasize collectivism, hierarchy, and respect for authority, leading to centralized, compliance-driven internal control systems. In contrast, Mongolian values, derived from nomadic traditions, highlight community solidarity, adaptability, and communal decision-making, resulting in more flexible control mechanisms. The research examines historical influences (e.g., the Mongol Empire, Silk Road cultural exchange), core cultural dimensions (Confucianism in China, shamanism in Mongolia), and modern challenges (globalization, modernization) impacting both cultures’ control practices. It also identifies cross-cultural management implications and calls for culturally tailored strategies. Findings underscore that internal control effectiveness relies on aligning with local cultural norms, avoiding over-reliance on Western-centric frameworks.
Copyright (c) 2025 Han Li (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
A Weakly Supervised NLP Approach to Cross-Cultural Analysis of Generative AI Rumor Discourse in Chinese and Japanese Media
The rapid advancement of generative AI has sparked widespread discourse, often accompanied by rumors and misinformation, yet cross-cultural comparisons of such narratives remain underexplored. This study addresses this gap by analyzing generative AI rumor discourse in Chinese and Japanese media through a weakly supervised NLP framework. We collect and compare data from major outlets in both countries, including People’s Daily Online, Xinhua Net, NHK, and Asahi Shimbun, focusing on linguistic patterns and thematic framing. The proposed method integrates rumor clue detection, uncertainty expression analysis, frame proportion quantification, emotional tendency assessment, and time peak detection, thereby offering a comprehensive toolkit for cross-cultural media analysis. Unlike traditional supervised approaches, our weakly supervised strategy reduces reliance on labeled data while maintaining interpretability. The results reveal distinct differences in how Chinese and Japanese media frame AI-related rumors, particularly in risk perception, governance narratives, and emotional tonality. Moreover, the study identifies temporal patterns in rumor propagation, highlighting cultural variations in media responsiveness. The methodological innovation lies in the adaptive integration of information theory metrics to mitigate small-sample biases, ensuring robustness despite limited data. By bridging computational linguistics and cross-cultural communication, this work provides actionable insights for policymakers and media practitioners aiming to counteract AI-related misinformation. The findings underscore the importance of culturally tailored communication strategies in an era of rapidly evolving AI technologies.
Copyright (c) 2025 Jinghao Chang, ChunHao Zhai (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Info Bottleneck Quantized Multilingual Embeddings for Low-Code Cross-Cultural Opinion Analysis
We introduce InfoBottleneck Quantized Multilingual Embeddings, a novel framework for low-code cross-cultural opinion analysis that addresses the dual challenges of semantic alignment and quantization robustness in multilingual settings. The proposed method reformulates cross-language embeddings by decomposing them into language-invariant and language-specific features, trained jointly under an information bottleneck objective to minimize redundancy while preserving task-relevant information. A transformer-based encoder projects input tokens into a shared latent space, where masked attention suppresses language-specific biases and auxiliary adapters encode cultural nuances with per-language quantization groups. The framework integrates a dynamic gating mechanism to adapt embeddings to event-specific lexicons, enabling real-time cultural adaptation without retraining. Furthermore, quantization-aware training ensures resilience to precision loss, achieving a 4x reduction in memory footprint while maintaining over 90% accuracy on low-resource sentiment tasks. The disentangled design allows seamless integration with downstream modules, including few-shot sentiment classifiers and opinion shift detectors, which leverage the quantized embeddings for cross-lingual alignment and culture-dependent sentiment analysis. Experiments demonstrate significant improvements over conventional multilingual embeddings, particularly in scenarios involving low-bitwidth deployment and dynamic cultural contexts such as global events. The implementation, optimized with custom CUDA kernels, offers a practical solution for resource-constrained applications while advancing the state-of-the-art in multilingual opinion mining.
Exploration of Ideological and Political Teaching Practice in Microeconomics Courses
How to organically integrate professional courses with ideological and political education is a question that every professional course teacher needs to consider. Microeconomics is a fundamental course that students majoring in economics and management must master, and it plays an important role in the teaching plan. However, this course has a lot of content, abstract and complex theories, and students generally feel that the course is difficult to learn. The implementation of ideological and political education courses faces problems such as limited class hours and the emergence of various negative socio-economic phenomena. This article combines the spirit of the 20th National Congress of the Communist Party of China with the curriculum objectives, combines course difficulties with student interests, and combines moral education with problem-solving; Putting students at the center, organically integrating what they need to learn, what they want to learn, and what they find difficult to learn, in order to achieve the ideological and political goals of cultivating morality and talent in the curriculum unconsciously.
Copyright (c) 2025 Haibin Tang, Yao Jinxi (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Cloud-Based Big Data Platforms for Real-Time Accounting: A Case Study of E-Commerce Enterprises
This study examines the transformative impact of cloud-based big data platforms on real-time accounting in e-commerce enterprises. By leveraging scalable and flexible cloud solutions, businesses can enhance operational efficiency, improve decision-making, and boost customer satisfaction through instant financial insights. Key findings highlight the role of advanced analytics, seamless data integration, and automated reporting in optimizing accounting processes. However, challenges such as adoption barriers for SMEs, data security concerns, and the need for robust infrastructure remain critical considerations. Case studies demonstrate that successful implementation of these technologies leads to cost reductions, better resource allocation, and competitive agility. Recommendations include prioritizing data management systems, investing in employee training, and adopting predictive analytics to sustain growth in a dynamic digital marketplace. The study underscores the strategic importance of cloud-based big data solutions in modern e-commerce accounting practices.
Copyright (c) 2025 Qiang Li (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Emotional Stability and Academic Achievement among Primary and Secondary School Students: An Empirical Study
In recent years, the influence of non-cognitive factors such as personality traits on students’ academic achievement has received increasing attention in educational psychology. Among these traits, emotional stability—defined as the ability to remain calm and balanced, especially under stress—has been theorized to play a vital role in learning outcomes. However, empirical research specifically examining the effects of emotional stability on academic achievement among primary and secondary school students, particularly in non-Western contexts, is still limited. This study investigates the relationship between emotional stability and academic achievement in a large sample of primary and secondary school students in China, using the Five-Factor Model of personality and considering moderating variables such as gender, grade level, and urban-rural differences. A cross-sectional survey of 1,200 students from grades 4 to 9 across three provinces assessed emotional stability using the Big Five Inventory and measured academic achievement via standardized end-of-term test scores in core subjects. Data were analyzed using descriptive statistics, Pearson’s correlation, and multiple regression analysis. The results showed a significant positive correlation between emotional stability and academic achievement (r = 0.36, p < 0.01), with emotional stability remaining a significant predictor even after controlling for gender, socio-economic status, and parental education. The association was particularly strong among secondary school students and those in urban areas. These findings underscore the importance of emotional stability as a non-cognitive predictor of academic success in primary and secondary education, offering implications for educational practice and student support, and suggesting avenues for further research.
Copyright (c) 2025 Ting Liu (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Research on Coping Strategies for Patients' Emotional Fluctuations in Emergency Nursing
This study aims to deeply explore the coping strategies for patients' emotional fluctuations in emergency nursing, so as to improve the quality of emergency nursing and patients' medical experience. By comprehensively applying methods such as literature research, case analysis and summary of clinical practice experience, the causes of patients' emotional fluctuations were analyzed, the existing coping measures and their effects were discussed, and new coping strategies were actively explored. The study found that disease factors, cognitive factors and environmental factors are the main causes of patients' emotional fluctuations. The current measures such as psychological counseling, the use of communication skills and the creation of a comfortable environment are effective to a certain extent, but there are limitations. Based on this, new strategies such as combining cutting-edge theories of psychology and using new technological means are proposed, and the importance of building the coping capacity of nursing staff is emphasized. This study provides targeted theoretical support and practical guidance for emergency nursing practice, helps to optimize emergency nursing services and promote patients' physical and mental health.
Copyright (c) 2025 Min Wang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
The Shaping of Consumer Behavior by Social Media: An Interdisciplinary Study of Psychology and Management
With the rapid development of social media, consumer behavior is undergoing unprecedented transformation. This study, from an interdisciplinary perspective combining psychology and management, explores how social media influences consumers' cognition, attitudes, and decision-making processes through psychological mechanisms such as cognitive bias, social identity, and emotional contagion. Simultaneously, it analyzes how businesses leverage social platforms for brand building, opinion leader marketing, and precision advertising to achieve user conversion and loyalty enhancement. Through literature review and case analysis, this paper aims to construct an explanatory framework that integrates psychological theories with marketing management strategies, offering both theoretical support and practical guidance for developing more insightful social media marketing approaches.
Copyright (c) 2025 Xv Huang, Nasha Wei (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Sustainable Talent Development: Balancing Corporate Goals and Employee Growth in Dynamic Environments
In today's rapidly changing global economy, sustainable talent development has become the key for organizations to maintain competitiveness in a dynamic environment. This paper explores how organizations can strike a balance between short-term corporate goals and long-term employee growth to achieve sustainable talent development. The study found that although companies generally recognize the importance of sustainable talent development, they still face many challenges in balancing short-term profit pressure and long-term talent investment. Successful cases such as Google's "Career Guru" project and Amazon's "Career Choice" program show how enterprises can improve employee satisfaction and organizational commitment through strategic employee development plans. At the same time, the research emphasizes the strategic role of human resource management in integrating corporate goals and employee personal career development, as well as the application of technology in personalized talent development. This paper proposes policy recommendations to develop sustainable talent achievement measurement metrics and promote corporate leadership and human resource team cooperation to promote organizations to achieve long-term success in a changing market environment. The study also points out the importance of cross-cultural research and longitudinal analysis in future research to understand more comprehensively the long-term impact of sustainable talent development.
Copyright (c) 2025 Junhan Yu (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Strategy Research on Integrating Macau Regional Culture into Teaching Chinese as a Foreign Language
Abstract: With the continuous development of the world economy and the deepening cultural integration between China and other regions globally, the influence of Chinese culture is becoming increasingly widespread. Consequently, enhancing the effectiveness of Chinese cultural dissemination has become a shared objective within the field of Teaching Chinese as a Foreign Language (TCFL). As an important platform for promoting Chinese culture, TCFL classroom teaching bears significant responsibility. This paper, starting from the current strengths and challenges in TCFL, combines the author's practical experience and selects Macau regional culture as its research focus. It explores and summarizes a series of issues concerning cultural dissemination within TCFL. Simultaneously, it proposes corresponding solutions to address these specific problems. The aim is to provide new insights for cultural teaching in TCFL and contribute to the refinement of the TCFL teaching system.
Teaching Chinese as a Foreign Language; Macau regional culture; Cultural dissemination
Copyright (c) 2025 Beiye He (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Research On Challenges And Development Under The Construction Of Metaverse Ecology Of Vocational Educati
Abstract The technical concept of the Metaverse has attracted much attention since its birth. In recent years, with the development of science and technology and social changes, the concept of the Metaverse has gradually entered real life. This article first introduces the key role and influence of the vocational education metaverse in the digital ecological transformation, and elaborates on the concept and elements of the metaverse. Then, it conducts an in-depth analysis of the characteristic advantages of the vocational education ecology brought about by the metaverse. Finally, it comprehensively discussed the practical challenges faced by the vocational education metaverse ecology, and put forward a series of response strategies and suggestions, covering policy regulation, technical support, and risk prevention, aiming to promote the sustainable development of the vocational education metaverse ecology.
Copyright (c) 2025 Haitao Chen, Yintao Zhang, Huanhuan Liang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
The Connection Between Leadership Style and Thriving at Work: Exploring the Role of Stability as a Mediator and Bianzhi as a Moderator
This study explores the relationship between leadership styles and thriving at work, with a focus on the mediating role of job stability and the moderating effect of bianzhi, a unique job security system in China. Grounded in situational leadership theory, the research examines how delegating, coaching, supporting, and directing leadership styles influence employees' thriving, characterized by vitality and learning. Using a correlational design, data were collected from 323 Chinese employees, including those with and without bianzhi. Results indicate that all four leadership styles positively relate to thriving at work, with job stability partially mediating this relationship. However, bianzhi did not significantly correlate with job stability, possibly due to recent policy changes and shifting perceptions of its benefits. The study highlights the importance of adaptive leadership and contextual factors like bianzhi in fostering employee well-being and productivity. Limitations and future research directions are discussed, emphasizing the need for longitudinal and multi-source data to further validate these findings.
Copyright (c) 2025 Xinyi Zhang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Self-Efficacy and English Language Acquisition among Wenzhou University Students
This study investigates the relationship between self-efficacy and English language acquisition among university students in Wenzhou, China, addressing gaps in existing research on how self-beliefs influence academic performance in second language learning. Using a quantitative approach, 200 participants from seven local universities completed questionnaires assessing their self-efficacy, language ability (measured by CET-4/CET-6 scores), and sources of self-efficacy (e.g., mastery experiences, verbal persuasion). Results revealed significant gender differences in self-efficacy, with female students reporting higher confidence, though no gender disparity was found in actual language ability. Academic major (Humanities/Social Sciences vs. Natural Sciences) showed no significant impact on self-efficacy or language proficiency. A strong positive correlation (r = 0.706, p < 0.001) emerged between self-efficacy and language ability, highlighting the pivotal role of self-belief in academic success. Additionally, all hypothesized sources of self-efficacy (e.g., vicarious learning, emotional state) correlated positively with language outcomes. Limitations include sample representativeness and reliance on self-report measures. The findings suggest that fostering self-efficacy through targeted interventions—such as modeling success, constructive feedback, and supportive learning environments—could enhance English language acquisition. This study contributes to the discourse on motivational psychology in education, offering practical implications for curriculum design and student support strategies.
Big Data-Driven Behavioral Economics: Analysis of Decision Biases in Financial Markets
In financial markets, traditional economic theories typically assume that market participants are rational and possess complete information. However, behavioral economics research indicates that investors are often influenced by various psychological biases, leading to irrational decision-making. These biases are particularly evident in financial markets, affecting market efficiency and price discovery mechanisms. With the advancement of big data technologies, analyzing and predicting investor decision-making behavior has become more feasible. By examining large-scale financial data, social media sentiment, and market trading behaviors, common psychological biases in investor decision-making—such as overconfidence, loss aversion, anchoring effects, and herd behavior—can be identified. This study employs big data analytics to explore how these decision biases influence market volatility, asset pricing, and portfolio choices, and further investigates their role in financial markets and their implications for policymakers and investors. The research provides new perspectives for financial market risk management and forecasting, promoting the integration of behavioral finance and big data technologies to enhance market efficiency and stability.
Copyright (c) 2025 Xv Huang, Han Li, Nasha Wei (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
The Improvement and Development of Cross-media Literacy of Dance Education Management Teachers in the New Era
This study focuses on the promotion and development of cross-media literacy of dance education management teachers under the background of the new era. This paper deeply analyzes the important functions of cross-media literacy in dance education management, including the promotion of teaching resource integration, teaching model innovation, cultural inheritance and exchange. At the same time, based on the current status of cross-media literacy of dance education management teachers, specific development paths are proposed from the aspects of training system construction, self-improvement consciousness cultivation and practical application, aiming at providing theoretical support and practical guidance for improving the quality of dance education management.
Copyright (c) 2025 Shuwei Xie, Kui Zeng (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Research on the Effective Mode of Training the Educational Technology Ability of Dance Education Teachers
This paper focuses on the training of dance education teachers' educational technology ability. By analyzing the current demand for teachers' educational technology ability in the field of dance education, three effective training modes and their implementation points are discussed, aiming at providing useful reference and reference for improving the quality of dance education.
Copyright (c) 2025 Zi Wang, Shuwei Xie (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Investigating the Impact of Intrinsic Image Memorability on Recollection and Familiarity in Memory Processes
This study investigates the impact of intrinsic image memorability on recollection and familiarity in memory processes. Through a survey-based approach involving 157 valid participants, the research explores how factors such as gender and educational background influence intrinsic image memorability. Results indicate that gender significantly affects intrinsic image memorability, with females demonstrating higher scores on the Imagery and Cognition Questionnaire (ICQ) compared to males. Additionally, a weak positive correlation was found between educational background and ICQ scores. The study concludes that intrinsic image memorability is influenced by individual differences and contextual factors, highlighting the importance of considering these variables in cognitive research. Future research should address limitations such as the reliance on self-report measures and the need for more diverse samples to further elucidate the complex interplay between image memorability, recollection, and familiarity.
Copyright (c) 2025 Wenxuan Huang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Analysis of the Vocational Education Path and Effectiveness for Financial Professionals in the New Era
With the rapid development of the economy in the new era, financial and accounting professionals play an increasingly important role in the market economy, and their vocational education paths and effectiveness have become a focus of attention. The vocational education paths for financial and accounting professionals mainly include academic education, vocational continuing education, vocational qualification education, and the accumulation of practical experience. Academic education, as the foundation, provides financial and accounting personnel with systematic professional knowledge, while vocational continuing education and vocational qualification education are tailored to actual work needs to enhance specific skills. In terms of the effectiveness of vocational education, through systematic academic education, financial and accounting professionals can establish a solid theoretical foundation, and vocational continuing education and vocational qualification education lay a solid foundation for subsequent career development. Vocational continuing education and vocational qualification education effectively improve the practical operational capabilities of financial and accounting personnel, enabling them to better adapt to job requirements. The vocational education paths for financial and accounting professionals in the new era should develop in a diversified manner, focusing on the combination of theory and practice, continuously optimizing and improving educational effectiveness to meet the high standards that the market economy demands for financial and accounting talent.
Copyright (c) 2025 Junhan Zhao, Chen Chen, Yasun Li (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Research on the Application of Chinese Painting Art in the Context of Digital Media Art
In contemporary design, digital media art has emerged as a prominent subject, largely due to advancements in science and technology, as well as the changing times. This form of art has had a significant impact on modern design, and with China's strong cultural identity, there is a growing trend toward localized aesthetics, which has breathed new life into the evolution of modern design. Traditional Chinese art form, Chinese painting is the epitome of Chinese visual aesthetics, and it encapsulates profound national aesthetic concepts. This research study aims to investigate the intrinsic relationship between digital media art and Chinese painting art by exploring the fundamental concepts and evolution of Chinese painting art. Using narrative research methodology, the study delves into the practical application of Chinese painting art in digital media art, with the goal of preserving and promoting China's rich traditional culture.
Digital media art,Chinese painting,Contemporary design
Copyright (c) 2025 Jiacheng Li (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Unraveling the Motivational Tapestry of AI-Driven Gamification in Education
This study explores the integration of AI and gamification in education. AI in gamified learning enhances learner motivation, engagement, and performance. It taps into psychological drivers like intrinsic and extrinsic motivation, goal orientation, and self-efficacy, leading to better learning outcomes, increased participation, risk - taking, and social interaction. The mechanics involve gamification elements like points, badges, storytelling, and AI technologies such as machine learning, NLP, and computer vision. However, there are challenges. Technologically, glitches, compatibility issues, and data privacy concerns exist. Pedagogically, balancing entertainment and education and addressing individual differences are crucial. Socially and culturally, equity, accessibility, and cultural relevance need attention. Looking ahead, emerging trends like integrating with AR/VR and other learning modalities offer promise. Recommendations include following design principles, providing teacher training, and getting policy and institutional support to create more effective learning environments for 21st - century learners.
Copyright (c) 2024 Han Li, Ning Ke, Anshao Zhang, Xv Huang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Multidimensional Symbols and Metaphors of Tea Culture: Taking Lu Xun, Lao She and Zhou Zuoren's "Drinking Tea" as an Example
This paper focuses on the descriptions of "drinking tea" in the works of Lu Xun, Lao She and Zhou Zuoren, and probes into the multi-dimensional symbolism and metaphor of tea culture. Through the description of tea drinking experience, Lu Xun's Tea Drinking reveals the stratification, criticizes the privilege and detachment from reality of cultural elites, and emphasizes social responsibility. Influenced by the Japanese tea ceremony, Zhou Zuoren's Tea shows the idea of pursuing the art of life and spiritual cultivation, embodies the philosophy of "taking a break from the busy, enjoying the bitter", and reflects the change of mood; Lao She's Teahouse takes teahouse as a microcosm of society, reflecting class differences through different consumption of tea, revealing social decay, injustice and people's suffering. These works present the rich connotation of tea culture in literature from different angles, reflect the writers' outlook on life and social critical consciousness, and provide multiple perspectives for understanding the society and writers' thoughts at that time.
Copyright (c) 2024 Menghui Yin, Xinyue Zhang, Xiuhong Hu (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Water, Boat and Tower in Shen Congwen's Works: a Poetic Picture of western Hunan
Shen Congwen's literary works vividly depict the unique style of western Hunan with his delicate and subtle brushstrokes. In his creation, water, ship, tower and other images occupy a very important position, they contain rich and diverse connotations and unique charm. On the one hand, these images vividly present the natural landscape of Xiangxi, such as the vivid water flow, simple ships, solemn towers, etc., making people feel the unique charm of Xiangxi as if they were there; On the other hand, it profoundly reflects Shen Congwen's deep love for the land of western Hunan, as well as his profound thinking of human nature and profound perception of life. The flow of water seems to tell the ceaselessness and change of life, the drift of the ship symbolizes the impermanence and tenacity of life, and the standing of the tower represents the persistence and pursuit of a spirit. This paper aims to carry out a thorough and comprehensive analysis of the images of water, ship and tower in Shen Congwen's works, and probe deeply into their unique artistic characteristics and profound cultural values, in order to understand Shen Congwen's literary world and his profound thoughts more comprehensively.
Copyright (c) 2024 Wanglong Yu, Wei Kang, Shuai Liu (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
A case study of changes in the Chinese cultural identity of Japanese of Chinese descent from the perspective of life course theory
This study conducted in-depth interviews with Chinese-Japanese who had tortuous changes in their Chinese cultural identity, and utilized the life course theory to explore the process of social integration of Chinese-Japanese in Japanese society at the beginning of the 21st century and the factors influencing the changes in Chinese cultural identity. Previous studies on the cultural identity of Chinese-Japanese have been more macroscopic and lacked discussions on the factors influencing the changes in Chinese cultural identity. This paper focuses precisely on the individual Chinese and their interaction with the social environment, and finds that the Chinese, who were pressured by the society of their place of residence in the early period, had a rejection of Chinese culture, but they could exert their subjective initiative to actively maintain their identification with Chinese culture. Some major turning points in their lives can make them realize the value of Chinese language and culture, and influence their identification with Chinese culture and their entire life trajectory.
Copyright (c) 2024 Weiwei Dai (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Analysis of Cross border E-commerce Professional Training Course Teaching - Taking the Si Rui Zhi Xun Cross border E-commerce Simulation Training Platform as an Example
In the context of the information age, deeply embedding virtual simulation technology into the practical training system of vocational education is not only a key driving force for promoting vocational education to move towards an excellent development path, but also an indispensable part of vocational education strategic planning. Especially for the cutting-edge and practical professional field of cross-border e-commerce, its significance is more prominent. This article aims to explore in depth the urgent need and importance of virtual simulation technology in cross-border e-commerce professional training teaching. By analyzing the problems existing in the teaching of existing e-commerce training platforms in depth, the "Si Rui Zhi Xun" simulation cross-border e-commerce training platform is taken as an example for analysis and research.
Copyright (c) 2024 Haoran Li, Shuang feng Ke, Lin Sun, Wei Kang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Predicting Audience Awareness on Instagram by Using Linear Regression
As far as audiences are concerned, Instagram is quickly rising to the top of the social media ranks. The primary cause of these important elements is the brand's engagement rate, creativity, user-friendliness, interactiveness, and visualization. In order to predict an Instagram user's engagement percentage, a variety of user interaction-related data points must be analyzed. These include collecting information about interacting users, posting time, hashtags, and captions; computing the user's engagement rate; segmenting the data; descriptive statistics; predictive modeling; machine learning algorithms; feature selection; model validation; metrics; and continuous improvement. Depending on their objectives, Instagram users can profit from a range of tools that the platform offers. A metric called engagement rate is used to gauge how much audience involvement a piece of information gets, usually on social media sites. To compute the percentage, divide the total engagements (likes, comments, shares, etc.) by the total reach or impressions and multiply the result by 100. For example, if a post has 100 engagements and a reach of 1,000, the engagement rate would be (100/1000) * 100 = 10%. Brands and content producers can evaluate how well their audience is engaging with their material with the use of this statistic. Increased engagement rates typically signify that the audience finds the content to be compelling. The most effective method for predicting actual value on Instagram datasets is the linear regression model. Interpreting and understanding it is simple. It is simple to visualize the relationship between the variables because it is represented as a straight line. It is faster to train and forecast than more sophisticated models since it uses less processing power. Certain assumptions made by linear regression—such as linearity, independence, and error normality—can be verified and checked with ease.It offers a useful starting point for forecasting, particularly in cases where correlations are roughly linear. The relationship between changes in the predictor variables and the response variable is directly revealed by the coefficients. In order to simplify the model, feature selection might assist in determining which variables are significant predictors. When its assumptions are not fully met, linear regression can often perform remarkably well—as long as the breaches are not too serious.
Instagram, Linear Regression, Instagram Tools, Engagement Rate
Copyright (c) 2024 Sonam Jha, Vikas Chaurasia (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Research on the inheritance and development of folk performances of Jimo Tianheng Sea Festival from the perspective of intangible cultural heritage
As my country’s precious intangible cultural heritage, the Tianheng Sea Festival carries profound historical and cultural connotations. This festival is not only the most influential sea worship activity in the northern region, but also embodies thousands of years of fishermen culture and folk traditions, demonstrating its extraordinary cultural, research and practical value. In order to strengthen the protection of Qingdao's local intangible cultural heritage, this article conducts an in-depth discussion of the folk performances of the Jimo Tianheng Sea Festival from the perspective of intangible cultural heritage, aiming to promote its inheritance and innovation. This study first reviews the long historical background of Tianheng Sea Festival and explores its inheritance and development in modern society. At the same time, in view of the protection significance of folk performances, this article analyzes various innovative practices involved in the existing inheritance work, and puts forward a series of constructive suggestions on this basis. In the inheritance process of contemporary folk performances, incorporating new elements has become an indispensable part. This not only enriches the performance form, but also makes it more attractive, giving more people the opportunity to participate, experience and perceive the unique charm of intangible cultural heritage. Through this method, we can better protect and inherit our country's excellent traditional culture and ensure that it will radiate new vitality and vitality in the new era.
Copyright (c) 2024 Xiaomeng Xu, Xue Ren (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Innovative research of comprehensive practice classroom teaching of Chinese reading
The innovative research of comprehensive practical classroom teaching of Chinese reading shows that teachers should pay attention to cultivating students 'interest in reading in the teaching process, improve their information screening and integration ability, and introduce diversified teaching strategies to stimulate students' learning initiative and creative thinking. Through the continuous innovation of teaching methods, we can enrich the reading practice activities, and provide students with a broader space for exploration and thinking. Classroom teaching is an important link in the field of education, and it has a key influence on students' learning effect and development. With the rapid change of society and the reform of education system, the traditional classroom teaching model faces many challenges. Therefore, it is of great theoretical and practical significance to study the innovation of comprehensive practical classroom teaching of Chinese reading and improve the teaching effect. First of all, the innovation of the comprehensive practical classroom teaching can promote the improvement of the quality of Chinese education. Through the exploration and application of the comprehensive practice innovation strategy of different Chinese reading, it can better meet students' learning needs, stimulate their interest and initiative in learning Chinese, and improve the effect and quality of Chinese learning. Secondly, the innovation of comprehensive practical classroom teaching of Chinese reading can promote the professional development of Chinese teachers. Teachers are the main implementers and organizers of classroom teaching, and their teaching ability and level are directly related to the quality and effect of classroom teaching. Studying the practical innovation of classroom teaching can help teachers to continuously improve their teaching ideas, teaching methods and teaching skills, and improve their professional quality and teaching level. In addition, the innovation of studying the comprehensive practical classroom teaching of Chinese reading can also promote the in-depth progress of educational reform. Education reform needs to learn from and introduce new educational ideas, teaching methods and teaching means, and all of these need to be verified and implemented through practical innovation. By studying the innovation of comprehensive practical classroom teaching of Chinese reading, it can provide practical experience and theoretical support for the promotion of educational reform.
Copyright (c) 2024 Chen Chen, Xu Xin (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Fusion of Tradition and Modernity: Cultural Reconstruction of Aesthetic Image of Hosts
In the context of today's cultural pluralism, the construction of aesthetic image of the host and the innovation strategy has become an important topic of research. This thesis aims to explore how the fusion of traditional and modern elements affects the aesthetic presentation of the host in opera and cultural programs, to analyze the interaction between the aesthetic characteristics of traditional opera art and modern communication media, and to reveal the interaction between the two in form and content. Through an empirical study of the presenter's performance in the program, this paper explores the process of recreating traditional cultural symbols in modern media and analyzes their impact on the audience's aesthetic perception. The results of the study show that by integrating traditional aesthetics and modern presentation methods, the host can enhance the cultural depth of the program and improve the audience's sense of participation and identification, thus bridging the gap between cultural inheritance and innovation, and further promoting the modernization, transformation, and dissemination of opera culture. Therefore, this study provides new perspectives and ideas for the combination of traditional and modern aesthetics.
Copyright (c) 2024 Tianwen Jiang (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Dance Education in Promoting Children's Sociality and Study on the Role and Mechanism of Emotion Development
As a unique form of education, dance education has a significant impact on children's social and emotional development. Through dance activities, while enjoying the charm of art, children can learn social rules and emotional expression through body language and collective interaction, thus enhancing social communication ability and emotional regulation ability. Dance education not only improves children's physical coordination and creativity, but also promotes the cultivation of empathy and the development of self-cognition through non-verbal emotional communication. This study deeply discusses the mechanism of dance education in children's social and emotional development, and provides a valuable reference for preschool education practice.
Copyright (c) 2024 Mengni Liu (Author) https://creativecommons.org/licenses/by-nc-sa/4.0
Energy Efficient Secured PSO Optimized Clustering and Data Aggregation Routing Protocol for Wireless Sensor Networks
In Wireless Sensor Networks (WSNs), sensor nodes are placed to sense and collect data. Due to the energy constraint nature of WSN, optimising the energy during the data dissemination is a major concern. To solve this problem, data aggregation may be used to bring down the redundant transmission of packets in WSN. In most of the previously available techniques, security is also a major concern during data aggregation and routing process with optimized energy. Many data aggregation-based routing systems are subject to security attacks during the data transfer from sensors to source to Clustered Heads (CHs) and then to sink with data aggregation process. Moreover, the existing data aggregation-based routing protocols suffer from data redundancy with less accuracy in aggregated data. For handling such issues order to overcome these issues, an Energy Efficient Secured Clustered Particle Swarm Optimization (PSO) oriented Data Aggregation Routing Protocol (EESCPSO-DARP) that can provide efficient authentication during data aggregation-based routing is introduced in this paper. Moreover, the proposed protocol enhances the rate of the data transmission by efficient prevention of false data injection and other attacks through node authentication and data encryption. This proposed protocol minimizes the energy usage by minimizing the retransmissions by eliminating the possible redundant transmissions of data during data aggregation-based routing. Moreover, the introduced protocol minimizes both communication and computational overhead through optimal clustering and routing with PSO and provides and efficient routing system. This proposed EESCPSO-DARP protocol has been developed by using the NS3 simulator. The results of this protocol showed improved security, higher packet delivery ratio and enhanced network throughput with reduced energy and delay.
Data Aggregation, Security, Energy Efficiency, Routing, Attacks, False data injection.
Copyright (c) 2024 Yesodha K, Krishnamurthy M, Selvi M, Thangaramya K, Santhosh Kumar SVN, Kannan Arputharaj (Author) https://creativecommons.org/licenses/by-nc-sa/4.0