bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Digital Marketing Management Issues and Optimization Strategies Based on European Enterprises
Authors: Zhang Zhehan
Published: December 2024

The rising challenges of digital marketing within the framework of strategic management in European enterprises have significantly impacted the achievement of organizational goals and marketing initiatives. While much research has focused on digital marketing tools and consumer behavior, the unique cultural variances across Europe have often been overlooked. This study seeks to address this gap by exploring the specific issues that European enterprises face in digital marketing management and examining the cultural factors that contribute to these challenges. The research integrates the analyses of Varmavuo, Thomas, and Johnson, alongside other pertinent studies, to create a comprehensive understanding of the problem landscape. The findings reveal that European enterprises are grappling with a highly diverse market characterized by cultural complexity, technical barriers, and a shortage of skilled digital marketing professionals. These issues are exacerbated by the need to tailor marketing strategies to local economic circumstances and cultural nuances, which can vary significantly across the continent. To navigate these challenges, the study suggests that European companies should place greater emphasis on understanding and integrating cultural diversity into their digital marketing strategies. By adopting a more localized approach and leveraging critical insights into digital marketing management, organizations can enhance their workforce, drive innovation, and ultimately achieve better market performance. This cultural sensitivity and adaptability are key to thriving in Europe’s complex digital marketing landscape.
The Interplay Between Intuition and Rigor in Mathematical Problem Solving
Authors: Wang Zixi Cynthia
Published: December 2024

Intuition and rigor are two inevitable components in mathematical problem-solving. Traditionally, features of education in mathematics show that those two themes are seen to be mutually exclusive rather than complementary. The famous foundational debate between L.E.J Brouwer and David Hilbert shows that intuition and rigor are often seen as being at odds. The two characteristics of mathematics play a pivotal and dynamic role in education, reasoning problem-solving, and different applications of maths. This essay delves into the intricate relationship between these seemingly contrasting approaches, underscoring their significance in the evolution of mathematical development. The research employs a blend of historical analysis and philosophical inquiry to explore the roles of intuition and rigor and how they interact. The essay argues that while intuition often sparks the initial insights in mathematical discovery, it is the rigor that ensures the robustness and validity of these insights, leading to their acceptance within the mathematical community. Through case studies of renowned mathematicians and well-known problems, this research uncovers the symbiotic nature of intuition and rigor and is demonstrating how they collectively contribute to the richness of mathematical problem-solving. Those findings suggest that a balanced integration of both features is crucial for the integrity including consistency and completeness of mathematical knowledge.
The Impact of Orff Music Teaching Method on the Attention of Students with Autism in Inclusive Education Settings
Authors: Yan Jiantao
Published: December 2024

This study aims to investigate the changes in attention of children with autism who are integrated into regular classes under the “inclusion” system, specifically examining the influence of the Orff music teaching method to better assist music teachers in their frontline teaching. This research employs a case study approach, focusing on a student enrolled in an “inclusive class”. By observing the student’s behavior in classes without the application of the Orff method and comparing it with their behavior in classes where the Orff method is applied, the study investigates the impact of the Orff teaching method on the attention of students with autism in “inclusive classes”.
Research on Music Therapy and Middle School Students’ Mental Health Strategies
Authors: Tang Songer
Published: December 2024

With the gradual development of music therapy in China, more Chinese scholars began to study its principle and development space, which is conducive to music therapy in various fields in China to play its unique functions and advantages, and better combine with other specialties.This paper expounds the important application value of music therapy in middle school mental health education, through the existing theoretical basis in the academic circle and the successful cases of the combination of music therapy and other disciplines, explores how to realize the cooperation between music education and mental health education in middle school, and play the greatest role in curriculum practice, and discusses the difficulties encountered in the realization process and solutions.The realization of this goal not only has a certain theoretical value and practical significance for promoting the combination of middle school students’ mental health education and music education, but also can help students have more ways to prevent and solve psychological problems.
Unveiling Different Probability Distribution Functions and Their Applications
Authors: Li Chengman
Published: December 2024

Nowadays, data is everywhere from social economic activities to the observation of natural phenomena, the complexity and scale of data requires researchers to master more advanced data analysis tools. As a bridge between random events and mathematical models, probability distribution function not only provides a theoretical basis for describing data characteristics, but also provides an important means for quantitative analysis of data and modeling prediction. This paper focuses on several typical probability distributions which have wide application background and deep theoretical foundation in their respective fields. This paper mainly focuses on two core issues. The first is the introduction of various probability distribution functions and their applications, while the second is how to use these distribution functions for effective data analysis and prediction. Through a series of empirical studies, this paper verifies the applicability and validity of different probability distribution functions in different fields. The results show that the correct selection and application of probability distribution function can significantly promote the accuracy and efficiency of data analysis, and provide strong support for decision making. Finally, the research in this paper not only makes the theoretical system of probability distribution function more abundant, but also offers some valuable references to practical applications. By revealing the key role of different distribution functions in data analysis and prediction, this paper provides new ideas and new methods for interdisciplinary research.
Explore Abilities of Chinese film international transportation Format Through the Wandering Earth Global market Analysis
Authors: Wong Nai Man
Published: December 2024

In the wake of international market recognition brought about by the growing maturity of Chinese commercial film production, it’s in good time exploring a patterned and replicable scheme for the future of Chinese film international development. The article analyzes global market feedback of The Wandering Earth by using business analysis model, SWOT, to compare with similar types of films that produced by Hollywood producers. After the comparation, there are three factors which be able to gain global film market and even widely culture expansion. First of all, film content with globally angle of view is the core of effectively interculture communication. Secondly, closing to foreign culture can prepare well for win international box office. The third element is widely known creation team will bring more public attention. Based on the three elements, an effectively feasible pattern for Chinese film interculture communication has been explored.
Analysis of Application of Markov Chain in Consumer Behavior Prediction
Authors: Liang Jiaqi
Published: December 2024

The present paper focuses on the application of Markov Chain, a memoryless stochastic model, in predicting consumer behavior and thus optimizing marketing strategies for firms. The ability to model transitions between states based on conditional probabilities makes the Markov Chain a useful tool in foresight concerning the actions of consumers regarding purchasing, loyalty, and brand switching. The paper starts with the introduction of Markov Chains as an important means of predicting future states given the present state and presents a simplified consumer behavior model having states for browsing, purchasing, and leaving. The paper analyzes how businesses can use Markov Chains to realize consumer behavior in trends and preferences in the context of market analysis, consumer loyalty, and determination of the best marketing strategies. The paper, within the section on consumer loyalty, explains how Markov Chains can be applied in modeling brand loyalty and predicting the probabilities of switching over to other brands, having been using a case study on sports shoe brands to show the long-term trend in brand loyalty. Then, it goes on with the application of the Markov Decision Process in determining optimal strategies for Customer Lifetime Value maximization, including rewards and a discount factor that will determine the value of some approach. The paper ends by comparing the Markov Chain with other predictive models, such as the Neural Networks, outlining the fact that Markov Chains are simpler and suitable for situations with scarce data availability.
Using Physical Models to Understand Water Vapor Feedback and Its Impacts
Authors: Kang Yi
Published: December 2024

The Earth’s climate system is facing significant challenges due to both natural and human-caused climate change. Comprehending the complex feedback mechanisms in this system is essential for forecasting future climate conditions and formulating efficacious mitigation tactics. Among these, water vapor feedback is one that sticks out as being especially significant, since it can intensify the greenhouse effect and make a major contribution to global warming. This study examines the relationship between surface air temperature and water vapor concentration using a combination of thermodynamic concepts and physical models. It demonstrates how rising temperatures cause an increase in the atmospheric concentration of water vapor, creating a positive feedback loop that amplifies the greenhouse effect. The research also examines the influence of water vapor on the sensitivity of temperatures to CO2, demonstrating that the existence of water vapor can significantly increase the responsiveness of temperatures to changes in CO2 levels. These findings emphasize the large effect of water vapor in climate change and provide valuable insights for improving climate models and guiding policy decisions aimed at reducing the impacts of global warming. Beyond just theoretical comprehension, the consequences of this research offer useful applications in environmental policy and climate science.
Artificial Intelligence and Poetry Writing: A Comprehensive Analysis of AI-generated Poetry and Poetry Publization
Authors: Cao Yuzhe
Published: December 2024

With the development of AI technology, human societies have stepped into a new era, and the question of addressing the relationship between AI and humans becomes crucial. Since AI has already engaged in many aspects of human life, people have to distinguish where AI’s capabilities can be applied and where they cannot, in order to make a line as clear as possible of AI mechanisms and human nature. Therefore, it is essential that while people revalue AI’s abilities and impacts on human civilization, we have to revalue our own abilities and the particularity of human nature as well. This paper focuses on AI disability in poetry writing, by revealing the fundamental differences between AI’s poetry and human’s poetry, which indicates the inevitable failure of AI in its aim to become “human”. This paper also attempts to address the gap between privacy and publization in poetry writing by demonstrating the mechanism of “public poetry”, in order to make a blueprint of how to summarize and comprehend common themes and dilemmas of human societies in the much more diverse era.
Investigation of Effective Investment Strategies in the Film and Television Industry: Comparative Analysis of Investment Strategies in the European and American Film Market and the Chinese Film Market
Authors: Xi Qili
Published: December 2024

Amidst the substantial growth of the worldwide film and television sector, investment in the film and television market has emerged as a crucial factor that contributes to this progress. The initial investment of funds is the fundamental element required to initiate a movie and television production, and the magnitude of this investment frequently dictates the caliber of the final outcome. Hence, it is notably crucial to analyze the investment approach of the film and television sector. The investment approach in the European and American markets differs significantly from that in the domestic market. Therefore, in the thesis, the author uses example European and American movies as well as domestic movies to compare the market impact and box office sales of the various investment strategies. The author conducts a comprehensive comparison of the two films in various markets and under different investment strategies, focusing on a micro perspective. Additionally, the author examines the market impact resulting from these investment strategies from a macro perspective, aiming to provide readers with insights into cinematography, economics, and sociology.
A Study on the Writing of Women’s Suffering in Qiu Yuan
Authors: Gui Chenyu , Liu Jie
Published: December 2024

The research on the writing of women’s suffering in Qiu Yuan mainly explores the suffering faced by women in traditional feudal society and turbulent historical periods, and how they cope with these challenges through flexible survival strategies. This paper studies the writing of women’s suffering in Qiu Yuan. First of all, the article analyzes the historical background of Qiu Yuan and the tragic fate of women under feudal customs, especially the physical and mental devastation of women by bad habits such as foot binding. Then, this article conducts an in-depth analysis of the individual fates of characters such as Qiu Yuan, Mrs. Liang, Xiaoquan, Sister Chen, and Zhi Hua in the book The protagonist Qiu Yuan lost her father in her early years, her husband in her middle age, and her son in her old age, but she still did not bow to fate. Mrs. Liang shouldered the burden of the family after losing her husband, Koizumi worked hard for his children all his life, Sister Chen helped Qiu Yuan in times of difficulty, and Zhi Hua fought against educational injustice. It shows their tenacity and struggle in turbulent times. Finally, the article explores the philosophy of life in suffering. This study provides a new perspective for understanding the role of women in social history, explains the plight and struggles of women in history, women’s survival wisdom in suffering and mutual aid and support between women.
A Study on the Path of art Education Practices in Rural Primary and Secondary Schools from the Perspective of Educational Equity
Authors: Zhang Yishu
Published: December 2024

In recent years, art education in rural primary and secondary schools has received widespread attention, but there is still a large gap with urban art education. This research analyzes the differences in urban and rural art education practices from the perspective of educational equity, and the improvement path of rural art education practices. The study found that rural art education practices face deficiencies in resources, cognition, and quality. To address these questions, there is an urgent need to develop local natural and cultural resources to enrich the content of art education and develop art education activities with local characteristics. Based on this, the study puts forward the following suggestions. Rural schools should pay attention to local art education in combination with regional characteristics, emphasize natural experience, and embrace cultural integration. In the process of education practices, teachers should pay attention to improving students’ art judgment ability and encourage self-expression to foster a strong sense of cultural identity. These paths are essential to promote equitable development of art education practices between urban and rural areas.
Application of Pramlintide in Combination with Insulin in Type 1 Diabetes Mellitus
Authors: Chen Feier
Published: December 2024

Diabetes is a common disease in current society, it can be easily found in middle-aged who have an unhealthy diet. However, only a small portion of them have the condition of T1DM, which is sometimes congenital, and related to genetic factors. One of the common symptoms of T1DM is weight loss. Pramlintide is an analog of the pancreatic β-cell hormone, Amylin. Current studies on Pramlintide focus on exploring Pramlintide’s role in improving glycemic control in T1DM. This article is limited to short-term studies on Pramlintide. This article reviews the mechanisms of T1DM, Amylin and Pramlinte and analyzes two risk factors of T1DM. Additionally, this article analyzes the current study on the role of Pramlintide in the reduction of postprandial glucose, an expected reduction of total daily Insulin dose, and expected weight loss. This paper provides longer study period and multifactorial for Pramlintide studies as a reference for future research. There are side effects problems, such as nausea, that haven’t be solved, so future research can focus on finding adjuvant drug for Pramlintide and Insulin.
Optimized Convolutional Neural Networks for Enhanced Detection of Acute Lymphoblastic Leukemia from Grayscale Cell Images
Authors: Zhang Yuan
Published: December 2024

Acute Lymphoblastic Leukemia (ALL) is a highly aggressive blood cancer that predominantly affects young children and the elderly, with significantly varied cure rates. Traditional diagnostic methods, such as the Complete Blood Count (CBC) and peripheral blood smear, while effective, are increasingly complemented by advanced machine learning techniques for enhanced accuracy in diagnosis. This study explores the application of Convolutional Neural Networks (CNNs) to improve the prediction accuracy of ALL diagnoses by systematically tuning various parameters of the CNN model. Using a dataset from Kaggle, which includes grayscale images of cancer cells, this employed a data preparation pipeline that involved image resizing, normalization, and feature extraction through Histogram of Oriented Gradients (HOG), followed by dimensionality reduction with Principal Component Analysis (PCA). The CNN model was trained using TensorFlow and Keras, focusing on optimizing key hyperparameters such as the number of epochs, batch size, and loss functions. The findings demonstrate that a configuration using 15 epochs, a batch size of 64, and the definite cross-entropy loss function achieves the highest accuracy and efficiency in classifying leukemia images. This research not only contributes to the enhancement of leukemia detection technology but also provides valuable insights into optimizing deep learning models for broader medical applications.
The Impact of Remote Work on Communication Efficiency and Productivity in Multinational Corporations
Authors: Fan Qinshan , Li Yuewei , Xu Zhenxiang , Wang Yushuhan
Published: December 2024

This research investigates the impact of remote work on communication efficiency and productivity in multinational corporations (MNCs). With the rise of remote work, especially during the COVID-19 pandemic, MNCs have embraced this model to flexibly manage global talent. While remote work offers flexibility and cost advantages, it also poses challenges such as time management, cross-cultural communication, and information security. The study addresses four key research questions, focusing on the effects of remote work on internal communication, productivity, and the associated challenges. Through a mixed-method approach combining quantitative data analysis and qualitative case studies, the research seeks to explore best practices and propose management strategies to optimize the remote work model. The findings aim to benefit both academic theory and practical management in MNCs, providing insights into enhancing communication efficiency and productivity in a remote work environment.
Comparison and Prospect Analysis of 3D Modelling Software based on Interactive Experience
Authors: Bao Shouhe
Published: December 2024

With the continuous advancement of 3D design technology, 3D modelling software plays an increasingly important role in several industries. The aim of this paper is to explore the strengths and limitations of five representative 3D modelling software Character Creator series, Gravity Sketch, ZBrush, Style3D Atelier and Maya by comparing and analysing their strengths and limitations in terms of interactive experience. Each of these software has its own strengths in the areas of character design, concept design, highly detailed sculpting, costume design and polygon modelling. This paper first introduces the basic functions and core technologies of each software, and then classifies and analyses them in comparison according to their user experience, technical requirements, application scenarios and detailed performance. Through this analysis, this paper aims to provide beginners with a clear guide to software selection, as well as providing software developers with a reference for future development directions. Finally, the article summarises the characteristics of various types of software and looks forward to the future development trend of 3D modelling software.
Marching Band Education Model In Secondary School Level
Authors: Guo Jian
Published: December 2024

In recent years, China’s marching band art has developed rapidly, and the formation and teaching of marching bands have gradually been introduced into the scope of Chinese compulsory education. This paper focuses on marching bands in secondary schools, exploring scientific training models and management mechanisms in marching band education. The author analyzes the current state of marching bands both domestically and internationally by reviewing existing literature and drawing on personal educational experience. Additionally, the paper proposes strategies to address the challenges facing marching band education in China. The aim is to help integrate marching bands as a popular form of music education in Chinese secondary schools.
Atmospheric Circulation on Earth and Mars: A Comparative Study
Authors: Ni Yanqi
Published: December 2024

There are similarities between Mars and Earth in terms of seasonal changes, but there are significant differences in atmospheric circulation and habitability. An in-depth study of the atmospheric circulation patterns of these two planets has important guiding significance for understanding the dynamics of their respective climate systems and future Mars exploration. This study conducted an in-depth comparative analysis of the atmospheric circulation patterns of Earth and Mars, aiming to reveal the differences and commonalities in the atmospheric dynamics of the two. Earth’s atmosphere, rich in life-sustaining gases and powered primarily by solar energy, supports complex weather systems that have profound effects on ocean currents and precipitation, thereby influencing global climate. In contrast, Mars has a thin atmosphere, consisting mostly of carbon dioxide with very little oxygen and water vapor. However, the atmospheric motion of Mars is affected by solar heating, axial tilt and complex terrain, showing significant dynamic characteristics. The results of this study not only have important academic value, but also provide important guidance for future Mars exploration and potential colonization, highlighting the challenges and opportunities brought by different atmospheric patterns.
Application of Markov Chain in Information Retrieval
Authors: Zhu Kecan
Published: December 2024

This paper introduces the fundamental role of Markov chain algorithm in recommendation system, especially its “memory-free” property, that is the future state only depends on the current state and has nothing to do with historical data. This feature is useful for simulating user behavior on the platform. The researchers defined the concept of “status” and selected key metrics based on how users interact with search results (like likes, favorites, time spent watching videos, etc.). These indicators are crucial for building predictive models. The paper also discusses the application of Markov chains in recommendation systems, including how transfer probabilities are used to guide information retrieval behavior and population retrieval history is used to weigh these probabilities. In addition, the potential of combining Markov chains with other algorithms and models is also explored. Finally, the abstract emphasizes the importance of considering user data and privacy ethics when developing software and concludes that Markov chain algorithms are an important foundation of recommendation systems, capable of predicting user preferences and enhancing user experience. The paper will show how to use Markov chains to make more accurate predictions.
Social Media Attention and Corporate Earnings Management: Perspective from Baidu Post Bar
Authors: Bian Churan , Lu Siwen
Published: December 2024

Corporate earnings management encompasses the strategies employed by corporate leaders to manipulate or adjust a company’s financial performance, with the ultimate goal of enhancing its market valuation, which may cause the distortion of accounting information. As investors give increasing emphasis to earnings management practices in modern capital market, social media attention has also become a possible factor affecting earnings management. This paper uses the theoretical framework of linear regression analysis, combines Python and other software to conduct an in-depth examination of the relationship between social media attention and the practices of corporate earnings management. and analyzes relevant cases by taking Baidu Tieba data as an example. The outcome reveals that: (1) The investor sentiment consistency has a positive correlation with corporate earnings management; (2) There exists a positive link between social media attention and the management of corporate earnings. The findings of this research offer a fresh perspective on mitigating corporate earnings manipulation, and serve as a valuable reference for investors in sifting through information to a certain degree.
The Impact of China’s Double Reduction Policy
Authors: Xu Jianing
Published: December 2024

This paper addresses China’s education policy, focusing on the effects of China’s double reduction policy, particularly on Chinese schoolchildren. The background of the study is set in China, with the object of studying being Chinese schoolchildren. The research methodology involves analyzing the influence of the double reduction policy by collecting data from secondary sources. The aim of the essay is to investigate the impact of China’s double reduction policy. This article will first provide an summary of China’s education policy, including China’s nine year compulsory policy, the reopening of Gaokao in the year 1977, and the double reduction policy. Secondly, the influence of the double reduction policy will be the primary emphasis of the article. Meanwhile, the paper will mention the influence of the rural-urban education gap. Thirdly, the paper will mention the assessment of China’s double reduction policy’s efficacy. Lastly, this article will discuss the further direction for Chinese double reduction policy. In conclusion, the amount of homework and tutoring courses has successfully decreased due to the double reduction policy, eased their anxiety and stress, and introduced innovative approaches-smart homework. Moreover, it creates a more diverse education environment for Chinese students.
Racial Disparities in Primary Liver Cancer Death
Authors: Jiao Dongyi
Published: December 2024

Primary liver cancer is one of the four leading causes of cancer death in humans, and the ethnic diversity and wide distribution of the affected population are very serious, so it is important to control the mortality rate of primary liver cancer patients worldwide. In order to control the global proportion of patients with liver cancer and reduce the mortality rate of primary liver cancer, it is necessary to identify the differences between ethnic groups and explore the impact of these differences on the prevalence of primary liver cancer. Diet and genes make Spain and blacks in Europe and the United States more susceptible to liver cancer, while the culture and lifestyle of Asia make people in Central Asia and Southeast Asia more susceptible to hepatitis virus infection and non-alcoholic hepatitis (NAFLD). The specific activation temperature of Aspergillus flavus causes it to secrete aflatoxins in tropical and subtropical regions, and its exposure to the toxin can carry HBV infection and increase liver cancer’s prevalence in local residents. Gender is also a main factor of liver cancer’s mortality differences, which is mostly due to the fact that men have a higher proportion of smoking, alcohol abuse and overweight. This means that in countries with a high proportion of men, such as the U.A.E., Qatar, the Philippines and other Southeast Asian regions, the prevalence and mortality of liver cancer will be higher.
Unraveling the Mechanisms and Future Directions in Alzheimer‘s Disease Treatment
Authors: Yun Kaize
Published: December 2024

Alzheimer’s disease (AD), a relentless scourge of the aging population, continues to perplex researchers and clinicians alike. This paper endeavors to unravel the intricate mechanisms underlying this neurodegenerative disease, tracing the path from amyloid plaques and tau tangles to the cascading neuroinflammation that heralds cognitive decline. This paper delves into the genetic underpinnings, spotlighting mutations in APP, PSEN1, and PSEN2, and the enigmatic role of the APOE4 allele in tipping the scales towards disease onset. Current therapeutic strategies, ranging from acetylcholinesterase inhibitors to NMDA receptor antagonists, are meticulously reviewed, underscoring their limitations and potential. Beyond the conventional, This paper explores emerging frontiers in immunotherapy and gene therapy, each promising a new dawn in Alzheimer’s treatment. As standing on the precipice of these breakthroughs, the urgency to bridge the gap between mechanistic understanding and clinical application becomes palpable. This paper not only synthesizes current knowledge but also ignites a fervent hope for the future, where personalized, stage-specific interventions might finally tame this formidable foe.
The Hardware Implementation of a Register-configurable SPI Interface
Authors: Liu Zefeng
Published: December 2024

The Serial Peripheral Interface (SPI) is a synchronous serial communication protocol commonly used in embedded systems, facilitating the connection between microcontrollers and peripheral devices such as sensors, displays, and memory. Traditional SPI hardware implementations often lack flexibility in clock frequency, clock polarity (CPOL), and clock phase (CPHA), limiting their adaptability in various applications and increasing development time and cost. To address these issues, this study designs and implements a configurable SPI module that can dynamically adjust parameters such as clock frequency, data bit width, CPOL, and CPHA through register control. The core of this design adopts a modular architecture that allows flexible configuration via register control, ensuring compatibility with different SPI modes and peripheral devices. Simulation tests have verified that the SPI module achieves the expected dynamic flexibility across multiple operation modes while ensuring communication accuracy and system stability.The configurable SPI module enhances the adaptability of embedded system communication protocols, reducing the need for hardware redesigns for specific applications. This register-based dynamic SPI design holds significant practical value in engineering applications and helps improve hardware development efficiency.
Analysis of Influencing Factors of Online Game Consumption Behavior
Authors: Zhang Antong
Published: December 2024

This paper delves into the conceptual definition of online game consumption behaviour and its influencing factors. This paper first defines online game consumption behaviour through a literature review. It emphasizes its complexity as a particular consumption behaviour based on virtual goods and services with psychological and behavioural interaction. Subsequently, this paper analyzes in detail the multiple factors influencing online game consumption behaviour from four dimensions: player factors, game design factors, technology and platform factors, and external environment factors. To further validate the effectiveness of the theoretical framework, this paper takes “Honor of Kings” as a case study. Specifically, it analyzes how each factor interacts with each other in the actual operation and jointly shapes the player’s consumption behaviour. Through the case study, this paper demonstrates how Honor of Kings accurately grasps players’ psychological needs, uses game design strategies to induce Consumption, and promotes the continuous growth of consumption behaviour through technical and platform support and regulation of external environmental factors. Finally, the paper summarizes the main conclusions, emphasizing the complexity of the multidimensional and multifactorial intertwining of online game consumption behaviour and the interactions of each factor in actual operation.
Analysis of the Facilities and State-of-Art Proposals for Deep-Space Exploration
Authors: Cao Wenbo
Published: December 2024

Deep-space exploration has made significant progress in recent years, with several missions pushing the limits of the knowledge of the solar system. The aims of this study are to analyze recent advances in deep-space exploration, emphasizing significant missions and the cutting-edge instruments they use. The study analyzes the scientific contributions made by the technological facilities and cutting-edge spacecraft used in the major space programs. By examining these programs and instruments, their feasibility in studying planetary surfaces, atmospheres and the wider space environment is discussed. The findings emphasize the critical role of future AI autonomous systems, advancing technological innovations and international cooperation in driving deep-space exploration forward. The significance of this study is that it summarizes the current state of deep-space exploration today and anticipates further advances, and that continued advances in the field of advanced technology will provide a powerful aid to human exploration of outer space and gradually deepen the understanding of the solar system.
Cost-Benefit Analysis of Childhood Obesity Prevention and Control in China from the Perspective of Public Health Economy
Authors: Tang Lipei , Sun Xinyu , Chen Xuhan , HUANG GLORIA , Han Jiayi
Published: December 2024

Childhood obesity poses a huge economic burden and health problem in China. However, the lack of visualized data in the past literature to verify the effectiveness of measures to prevent and control childhood obesity has led to a lack of reliability of these strategies. In this paper, we collect the cost and benefit data of the strategies through the database and existing literature, and systematically analyze them using the cost-benefit model to verify the effectiveness and benefit of these strategies. We find that implementing interventions does reduce the economic burden of childhood obesity. We also find that some measures may initially increase health care costs, but ultimately indirectly reduce total health care costs. And socioeconomic status affects the effectiveness of different policies. We have discussed the theoretical and practical implications.
Education Investment and Rural Income Disparity: A Perspective of Rural Revitalization Strategy
Authors: Wang Tianyu
Published: December 2024

This study focuses on the impact of education investment on rural income disparity in the context of the rural revitalization strategy. In recent years, with the country’s emphasis on issues relating to agriculture, rural areas, and farmers, the rural revitalization strategy has emerged as a crucial measure to promote rural development. However, rural income disparity continues to be one of the key factors constraining rural revitalization. Education, serving as a vital pathway for enhancing human capital and fostering social equity, plays a significant role in narrowing rural income disparity. Through literature review, comparative studies, descriptive research, and other methodologies, this study conducts a thorough analysis of the specific impact mechanism of education investment on rural income disparity and proposes policy recommendations aimed at strengthening rural education investment and promoting rural revitalization. The research findings will offer practical guidance regarding the roles and responsibilities of governments, societies, and markets in rural education investment, thereby facilitating the effective implementation of the rural revitalization strategy.
A Comparative Visualization Analysis of Neural Network Models Using Grad-CAM
Authors: Shen Yuhao , Huang Xiyan
Published: December 2024

As the area of deep learning is advancing at the speed of light, the issue of model interpretability is now a priority for a better understanding and enhancement of the decision-making processes implemented by sophisticated neural networks. So, as deeper learning models create, it becomes vital to guarantee greater transparency and interpretability, in particular, in applications as medical image analytics, Auto-Driving, and Security Systems. The process of visualization of these decisions is assisted by Grad-CAM which is a powerful visualization tool. The rationale behind this work stems from the growing concern on the interpretability of deep learning models with the hope of systematically evaluating how different models attend to certain regions of images during classification. In this study, the three deep neural network models were Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and Swin Transformer, which were used to classify the images with the help of Grad-CAM in visualizing the heatmaps of the important regions of the input images important for the models’ decision-making. The conclusively featured experimental outcomes prove that Grad-CAM can help to improve the interpretability of these deep networks irrespective of the used architecture or type. This work also extends Grad-CAM, demonstrating its capability to offer insights of model processes toward achieving better and more interpretable AI models.
Effects of Long-term Regular Exercise Intervention on NAFLD-related Parameters: A Meta-analysis
Authors: Chen Shiyao
Published: December 2024

Nonalcoholic fatty liver disease (NAFLD) is one of the most prevalent forms of chronic liver disease across the globe, affecting a significant portion of the population. Long-term regular exercise therapy can improve the relevant clinical indicators of NAFLD patients, and is one of the effective means to treat the disease. This study conducted a meta-analysis of relevant literature published in PubMed up to September 2024 to assess the effects of exercise on various clinical markers in NAFLD patients. A total of nine articles were included, involving 254 patients, with intervention duration ranging from 8 to 26 weeks. Analysis results showed that long-term adherence to exercise significantly reduced ALT(MD=-5.98 , 95% CI [-7.99,-3.97]),AST(MD=-2.92, 95% CI [-5.30,-0.53]),LDL-C(MD=-5.38 , 95% CI [-7.70,-3.06]) levels and increased HDL-C(MD=3.78 , 95% CI [0.4,7.15]) levels in NAFLD patients. However, there was little effect on HbA1c(MD=-0.13 , 95% CI [-0.28,0.02]) levels in NAFLD patients. To sum up, consistent physical activity is a potent means of enhancing the well-being of individuals suffering from NAFLD.
How do institutional biases in lending practices restrict financial opportunities for underprivileged groups, and how do they perpetuate economic inequalities?
Authors: Zhong Evan
Published: December 2024

This paper explores how systemic barriers, specifically institutional biases, disproportionally restrict business opportunities for underprivileged groups through data analysis and literature review. This paper also highlights how biases in loan approval criteria and interest rates create systemic barriers. Minority-owned businesses and low-income entrepreneurs face significant challenges in securing necessary business loans and venture capital. This paper examines these biases and proposes possible strategies to reduce them and promote financial inclusion.
Progress in pathogenesis of pectus excavatum
Authors: Lou Yanqing
Published: December 2024

Congenital pectus excavatum is a common skeletal deformity of the chest wall in children. The progressive aggravation of pectus excavatum can oppress the heart and lungs, even affect growth and development, and affect the physical and mental health of patients. Therefore, it is of great significance to choose the appropriate surgical evaluation index for the formulation of a surgical plan. This article reviews the diagnostic indicators and surgical procedures of pectus excavatum from the perspective of chest wall surgery. The correction effects and postoperative complications of various modified and new surgical procedures for pectus excavatum need to be further observed and evaluated. Postoperative complications should be considered in the design of surgical procedures for pectus excavatum combined with other diseases and the choice of surgical timing. To discuss and review the controversial points in the surgical treatment of pectus excavatum, and to provide a theoretical basis for the improvement of the surgical plan.
The Marketing Strategy of “Live Streaming with Goods” on TikTok Platform and Its Influence
Authors: Mu Gangling
Published: December 2024

In the era of the gradual development of Internet construction, online shopping with its convenient and affordable advantages, so that many consumers rarely go to physical stores for shopping; Therefore, in today’s increasingly popular online shopping, more and more merchants choose to publicize their products in the form of live streaming on social media platforms. How the effect of different marketing strategies on different products’ delivery will affect consumers’ purchase decisions is a question worth studying. Based on the phenomenon of “livestreaming goods” on the short video platform of Tik Tok, this study conducted a detailed analysis of the status quo, marketing strategy, advantages and disadvantages of TikTok platform through actual case analysis, so as to analyze the reasons and results of the popularity of livestreaming goods on social media platforms, as well as the impact on consumers’ psychology and consumption decisions. Through research and analysis, it is shown that the live streaming of goods on the TikTok platform has made use of a variety of unique marketing strategies to build a new network consumption model. However, it is still necessary to conduct stricter control and optimization of live broadcasting personnel, platform control, after-sales service. In order to more perfectly maximize the benefits of this model for merchants and consumers.
Automated Household Food Management and Recipe Recommendation System Based on Visual Recognition and LLM Knowledge Base
Authors: Zhang Jingwei
Published: December 2024

With continuous economic development and intensifying competition, individuals increasingly face the conflict between the pursuit of a better life and the demand for efficiency. This conflict is particularly pronounced in the realm of dietary habits. A healthy and well-balanced diet often requires significant time investment in planning and decision-making, yet people frequently lack sufficient time for such considerations. As a result, the need for an efficient system to assist with meal planning and food management has become more apparent. To address this challenge and help individuals achieve a balance between healthy eating and lifestyle efficiency, we have developed an easy-to-use, natural language-based automated household food management system leveraging visual recognition technology, large language models (LLM), and knowledge base technologies. The system automates household food management tasks, including inventory input, stock display, expiration monitoring, and food output. Additionally, it customizes personalized recipes based on factors such as the current time, number of family members, taste preferences, special dietary needs, and available ingredients. According to user surveys, over 70% of respondents recognized the necessity of the system, and its recipe design received an average rating of 3.75 out of 5, indicating that the majority of users found the system’s recipe recommendations acceptable.
Study on the Relationship Between International Trade and Economic Growth
Authors: Chen Haomin , Liu Jiayi
Published: December 2024

This article provides a comprehensive overview of the complex relationship between international trade and economic growth. The research background and importance include the following two aspects. Global economic integration: Accelerating development, international trade has become a key force. Economic connectivity: International trade promotes the integration of global resources, technology, and markets. The theoretical foundation review includes the following two aspects. Traditional international trade theory: absolute advantage, comparative advantage, factor endowment, etc. Modern International Trade Theory: Further Enriching and Improving the Theoretical Framework. In multidimensional empirical analysis, the following aspects are included. Macro level: The impact mechanism of international trade on the overall economy. Optimize resource allocation: improve production efficiency and promote economic growth. Promote technological progress: Introduce advanced technology to enhance industrial competitiveness. Micro level: International trade effects at the enterprise level. Industrial upgrading: International trade promotes the optimization and upgrading of industrial structure. Regional level: Differences in international trade and economic growth among different regions. The research conclusions and policy recommendations include the following aspects. Positive correlation: International trade and economic growth correlate positively and significantly. Policy reference: Provide valuable reference basis for policy makers. Sustainable Development: Helping countries achieve sustained and healthy economic development in the process of globalization.