bluuebunny/crossref_metadata_2025 huggingface dataset:
The Interpretation of Postcolonialism: Gains and Losses in the Construction of Chinese Discourse in the “Third Space” of the English Translation of From the Soil—The Foundations of Chinese Society
Authors: Liu Yishan
Published: December 2024

The wave of postcolonialism has provided a unique perspective for the cultural turn in translation studies. In the postcolonial context, translation is no longer a mere activity of semantic conversion but a battleground for power relations. Against the backdrop of the current strategy to promote Chinese culture globally, it is imperative to implement effective strategies to ensure that Chinese discourse can be effectively constructed and strengthened in interactions with dominant cultures. The “third space” created through the interaction of different cultures serves as the best arena for translators to deconstruct cultural hegemony and construct cultural discourse. This paper focuses on the English translation of Fei Xiaotong’s classic work From the Soil—The Foundations of Chinese Society—The Foundations of Chinese Society, using postcolonial “third space” theory, explores the gains and losses in constructing Chinese discourse within the translation. The study points out that through methods such as multiple translations of a single term, transliteration with paraphrasing, the construction of China English, and annotation, the translator achieved certain successes in constructing Chinese discourse. However, problems also exist, including inappropriate omissions, factual errors, and incorrect emotional connotations of certain terms, which led to some deviations in the transmission of Chinese discourse in the target culture. This paper aims to provide a reference for constructing Chinese discourse in a postcolonial context and to enhance the influence of Chinese culture in the global stage.
A comprehensive analysis of Tesla’s development in China
Authors: Hu Yitian
Published: December 2024

In the past 10 years, Tesla, with its disruptive technology and excellent product power, has worked hand in hand with the upstream and downstream of China’s new energy industry, leading the fundamental change in the automotive industry. Since 2014, the number of Tesla car owners in China has grown from 15 to more than 1.7 million, and Tesla Shanghai Gigafactory continues to export “Chinese samples” of intelligent manufacturing to the world. At the same time, in the past decade, the number of new energy vehicles in China has jumped from 216,400 units to more than 20 million. According to the data of the Passenger Association, in the first two weeks of April 2024, the new energy retail penetration rate of China’s passenger car market has exceeded 50%. Tesla continues to reshape the field of transportation and travel with innovative technologies. From electric vehicles, to energy storage devices, to artificial intelligence and robots, Tesla’s business landscape has far exceeded the ordinary sense of electric car companies. Musk has announced that on August 8, Tesla will release its latest Robotaxi driverless taxi, which media say may usher in the next industrial revolution. These are the keypoints of this paper.
Machine Learning Models for Customer Churn Prediction: Current Progresses and Challenges in the Telecommunications and SaaS Industries
Authors: Zhu Ruiying
Published: December 2024

With the ongoing economic growth and the rise of new companies, customer churn has become a renewed focus for many businesses, particularly in the telecommunications and SaaS sectors. Accurately identifying lost customers using artificial intelligence technology is crucial for helping companies develop effective strategies to retain these valuable clients. This paper provides a comprehensive overview of recent research on the application of various machine learning models, including logistic regression, random forests, decision trees, XGBoost, and advanced deep learning models like Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), to different types of datasets in the telecommunications and SaaS sectors. The study examines the workflow of each model, offering an in-depth analysis of their effectiveness and performance in predicting customer churn. In addition to evaluating the strengths and weaknesses of these models, the paper also addresses key challenges in machine learning, such as interpretability, applicability, and privacy concerns. It highlights current solutions employed by researchers, including SHapley Additive exPlanations (SHAP) for model interpretability, transfer learning, domain adaptation, and federated learning, to overcome these challenges. Furthermore, this paper emphasizes the ongoing need for further research to enhance the robustness and practical deployment of churn prediction models in these industries. In conclusion, this paper offers a comprehensive overview of current research on customer churn prediction models, highlighting the application of various machine learning techniques and addressing key challenges and solutions within the telecommunications and SaaS sectors.
The Study of Machine Learning Inference Tasks Based on Serverless Computing Platforms
Authors: Liu Chang
Published: December 2024

This study proposes a distributed inference method based on the ResNet50 model, aiming to improve inference efficiency and resource utilization by dividing the model into multiple sub-models. Specifically, the model is divided into the initial convolutional layer, four stages of residual blocks, and the subsequent global average pooling and fully connected layers. Each sub-model independently handles specific tasks, allowing for parallel execution on different computing devices, thereby accelerating the overall inference process. This partitioning strategy effectively addresses high-concurrency requests, enhancing the system‘s response speed. Additionally, it enables dynamic scaling of resources based on workload demands, which is crucial for real-time applications. The implementation of distributed inference also makes the model more flexible, adapting to various computing resources and application scenarios. Experimental results indicate that this method significantly enhances inference efficiency while maintaining model performance, providing new ideas and solutions for the practical application of deep learning models. These findings underscore the potential of distributed architectures in advancing the deployment of complex neural networks across diverse environments.
Aging Populations and Healthcare Policy: Challenges and Successes: Challenges and Successes
Authors: Luan Shilin
Published: December 2024

The increasing proportion of aging populations creates major challenges to healthcare systems globally. This is especially relevant in countries like Japan and the United States, where longer life expectancy and declining birth rates place tremendous strain on resources. This research aims to investigate the effects of demographic shifts on healthcare systems by focusing on key issues such as heightened demand for medical services, escalating healthcare costs, and critical workforce shortages. The study examines policy responses in various countries, with a focus on Japan and Germany’s long-term care insurance systems and the integrated, preventive care models implemented in Scandinavian countries. Using a comparative analysis methodology, this research evaluates the effectiveness of these policies in addressing healthcare demands. The findings indicate that while these models offer valuable insights, significant gaps in healthcare access and equity persist for low-income, minority, and rural elderly populations. The study concludes that targeted reforms are key to offering equitable healthcare provision for all aging individuals.
Rethinking Multiculturalism in Animated Film: a case study of the Big Hero 6
Authors: ZHANG CARRIE YA TING
Published: December 2024

In the contemporary animated industry, multiculturalism has been embraced and practiced. Despite progress with the sensitivity of diversity, the North American animation industry still has the tendency to oversimplify racial struggles and veil identity politics present in current global society. This research explores multiculturalism in animated films, focusing on how it is represented and why it matters in shaping cultural perceptions. It becomes clear that this representation shapes cultural understanding, reinforces or challenges stereotypes, and even influences how individuals perceive themselves and others across different cultures. While contemporary animation projects embrace multiculturalism as a way to reach a global audience, racial struggles and identity politics are often oversimplified or obscured. Through a semiotic analysis, this essay will examine the film Big Hero 6, to decode cultural symbols, character portrayals, and visual elements. This study found that although Big Hero 6 integrates multiculturalism more successfully than other films by naturally blending cultural elements, the seamless cohesion of cultures actually results in a superficial representation of multiculturalism. However, as argued, this film still relies on stereotypes and cultural shorthand to appeal to a wider audience. This research underscores the importance of mindful representation and critiques how, despite growing efforts toward inclusiveness, animated films can still perpetuate simplistic cultural narratives.
Why did the Chinese government introduce the carbon emissions trading scheme, and to what extent has it been effective in controlling carbon emissions in China?
Authors: Su Yiyao
Published: December 2024

By constructing the panel data of 30 provinces in China, this research studies the reasons for the introduction of a carbon emission trading system in China and to what extent this system affects the reduction of carbon emissions. The government has taken measures to control carbon emissions in line with the global climate goals China joined the world in the Paris Agreement and the national goal of achieving carbon neutrality by 2026. However, the ineffectiveness of the carbon tax policy could not achieve the government’s goals, so the carbon emission trading system was established. This research uses the DID model to evaluate the effectiveness of the carbon emission trading system. Through the benchmark regression results, it can be concluded that the carbon emission trading policy can promote the reduction of carbon emissions in Chinese provinces. Through the heterogeneity test, it can also be concluded that this policy has a greater impact on the eastern provinces of China, while it has almost no impact on the central region. This research provides policy implications for China facing carbon emission reduction.
The Future Global Factory—An Exploration of the Advantages and Disadvantages of India’s Workforce
Authors: Sun Yiwei
Published: December 2024

This study explores India’s burgeoning potential as a global manufacturing powerhouse by examining the advantages and disadvantages of its workforce. With a vast, youthful demographic, abundant natural resources, and the government’s “Made in India” initiative alongside competitive labor costs, India is well- positioned to attract significant international investment. However, the nation faces serious challenges, including entrenched social inequality, widespread child labor, and excessive overtime work within its manufacturing sector. These issues hinder the improvements of the workforce’s overall quality and limit India’s competitiveness in high-end manufacturing. Through a literature review, comparative labor market analysis between India and China, and qualitative research, this study provides a comprehensive insight into how India can overcome these obstacles to realize its full potential in the global manufacturing arena.
The Remain Fear Forever: A Comparative Study between the Romantic Poems of William Blake and Li He
Authors: Wu Wenrui
Published: December 2024

William Blake, which is one of the most typical and iconic figure during the development of the Western Romantic poetry during the development of traditional literary culture, is usually regarded as the sally port of research by modern people towards their generations with the comparative formal perspective. Meanwhile, Li He is another great poet who is regarded as exemplary of his time and even beyond it. Although Li He’s mode of writing is very different from Blake’s, the particular genre of poetry represented by him coincides with many features of Western Romantic poetry. This study centers on a careful and precise comparison of the works of the two of them. Some of the classic works of these two poets are analyzed for three branch aspects: the choice of structure, the use of imagery, and the difference in the inner expression of meanings. As a result of both the valuable similarities and specific features that are influenced by different cultural background in their poetry works, this paper generalizes the much deeper and universal characteristics of romantic poetry across cultural backgrounds. Finally, conclusions are drawn through the comparative research that reveals the essential differences between the Western classic poetry in Romanticism and the Eastern classic poetry that is similar to the essential characteristics of Romanticism in three aspects - structure, images and thematic expressions.
The development competitiveness of aviation industry
Authors: Xiong Yichen
Published: December 2024

The aerospace industry is an important part of modern industry, which not only promotes the scientific and technological progress of mankind, but also facilitates the travel and communication of people with the development of the global economy. The aviation industry of cargo, passenger transport and other different ways to give aviation to develop. Through the development trend and the market share announced by the aviation industry in recent years, as well as the competition in the aviation industry, it shows that the aviation industry is a broad market, which involves many different fields. All airlines are constantly developing new technologies, so the plane is one of the safest means of travel, which also promotes the development of human beings. Despite the economic downturn facing the industry, there is still strong momentum and positive prospects for global aviation. The research results of this paper not only have theoretical research value, but also can provide experience reference for the future development of Airbus in reality.
The impact of extreme weather events in Guangdong on soil health and its mitigation strategies
Authors: Yang Liuqian
Published: December 2024

Guangdong Province, due to its own climatic conditions and geographic location, has resulted in a high incidence of extreme weather in the region.In recent years, with global climate change, the frequency and intensity of extreme weather events such as typhoons and heavy rains, droughts, heat waves and cold snaps have increased significantly and have had negative impacts on the natural environment and soil health in Guangdong Province, such as destruction of soil structure, soil salinization, soil erosion, loss of soil nutrients, and reduction of biodiversity.In this paper, we conducted a systematic study on the impacts of extreme weather on soil health in Guangdong, and proposed measures to strengthen agricultural management, soil improvement, soil and water conservation, and monitoring and early warning systems.The results of the study show that integrated and systematic management measures can effectively mitigate the damage to soil caused by extreme weather and can promote sustainable agricultural development in Guangdong Province.This study provides theoretical support and practical reference for soil conservation and adaptation to future climate change in Guangdong.
Development and Implementation of a Biometric Tracking System for Health and Fitness Monitoring
Authors: Zhu Yingqiang
Published: December 2024

With the development of cheap and powerful microcontrollers and sensors it has become possible to track human activity non-invasively and discreetly. This has led to a revolution in tracking activity for health monitoring, achieving exercise goals, or sports performance analysis. This has developed into to a multimillion-pound industry with many applications. So I want to make an exercise watch that can monitor the wearer’s physical signs to prevent people from going into a dangerous state because of exercise. This project successfully developed a prototype of a biometric tracking system for health and fitness monitoring. The system is capable of monitoring heart rate, exercise, and other biometric features in real time, and the Mbed prototype system integrates sensor data acquisition, processing algorithms, and a user-friendly interface to accurately capture and display data.
The Application Status of Artificial Intelligence Writing and the Feasibility of its Application in Network Literature
Authors: Wang Bihai
Published: December 2024

Artificial intelligence(AI) writing has been a rising star in science and literature in recent years. AI writing is successfully used in creating news, official documents, and poetry, while China’s network literature originated in the 1990s and has been developing for 30 years. This paper aims to analyze the feasibility of applying AI writing to the field of online literature. This paper mainly uses literature analysis and comparative research methods, combined with existing data, to compare the differences between AI writing and manual writing, as well as network literature and traditional literature. The analysis shows that although the current AI writing has the advantage of speed and quantity, it also has problems, such as lack of aesthetic value and inability to arouse emotional resonance. Network literature has shown many characters and complete classification characteristics, but label production literature does not have substantial defects. Given the many similarities between the two, it is feasible that online literature and art will become the following application fields of AI writing. This application can also help the continuous progress of AI technology.
Research progress of graphene in the positive and negative electrodes of lithium-ion batteries
Authors: Ma Hongbo
Published: December 2024

With the use of lithium-ion batteries in electric vehicles and portable electronic devices by the majority of users, how to improve their functional performance has become the focus of the research object of researchers. Graphene is widely considered valuable as an innovative carbon-based material because of its excellent conductivity, high surface area ratio and significant mechanical endurance, and it has been gradually selected as the preferred material for lithium-ion batteries in terms of positive and negative electrodes. This research paper summarizes the latest research trend of graphene in the positive and negative electrodes of lithium-ion batteries, and further deepens the exploration of its production method, optimization measures and its impact on battery performance. With the addition of graphene, lithium-ion batteries are significantly enhanced in their energy density, cycle stability, and the speed of charging and discharging. Although graphene’s basic materials are practical, we still have to face various practical challenges, such as reducing costs and performing mass production. This study estimates the huge potential of graphene in the lithium-ion battery industry and highlights its profound impact on improving battery performance.
Advances in Oral Squamous Cell Carcinoma: Pathogenesis, Risk Factors
Authors: Wang Yifan
Published: December 2024

mwymwAbstract:Among many types of Oral Cancer, Oral Squamous cell carcinoma(OSCC) is one of the most significant malignant tumors in the world. When more research is done into the molecular pathogenesis behind tumor initiation and progression, there is an opportunity to discover targeted therapies that are more effective for treatment. Moreover, in the study of tumor microenvironment,the interaction among cancer cells and surrounding stroma or immune cells, is also still not well understood. Understanding the interactions between molecules in the tumor microenvironment has important implications for the study of new therapeutic targets. The symptoms, pathogenesis and risk factor of OSCC as well as the existing therapeutic methods were studied in this paper. Because there are no obvious symptoms in the early stages of OSCC, it is important to know it for the treatment of OSCC. Risk factor also discussed the main causes of OSCC, which also can be contributed to the subsequent research. In this paper, common and popular therapies are listed. nanotechnology- based drug delivery is one of the most novel and effective therapies available today. This method offers the possibility of delivering chemotherapy or targeted drugs directly to OSCC. This reduces systemic side effects and provides precision. This technology has shown amazing effects in the clinical scope and is gradually being used in treatment.
The Impact of the Availability Heuristic on Decision-Making and Risk Perception
Authors: Xu Zhengyang
Published: December 2024

The present essay will consider the availability heuristic, a cognitive bias whereby individuals’ judgment regarding the likelihood of certain events is altered by the ease with which they are able to formulate examples. Historical developments from early psychological studies through its formalization by Kahneman and Tversky will underline its main features, underlie its operations, and discuss its influence on decision-making, risk perception, and errors in judgment. Case studies tend to reveal the heuristic’s insistent influence in everyday life, notably in crime perception, estimation of health risk, and investing in the financial markets.
Research on Multi-Channel Marketing and Profitability of Commercial Companies—Taking Pop Mart and Disney as Examples
Authors: Zhang Haixin
Published: December 2024

Disney and Pop Mart have successfully leveraged Diversified Integrated Marketing (DIM) strategies to broaden their sales channels and significantly boost their revenue. By integrating various marketing tools and platforms, they have managed to create a comprehensive approach that resonates with the youth demographic. Their products, which often feature unique designs and innovative concepts, have gained widespread popularity due to the strategic use of social media, online stores, and physical retail spaces. The process these companies employ involves a multifaceted approach. They start by identifying their target audience and understanding their preferences. Disney, with its rich history of storytelling and beloved characters, and Pop Mart, with its trendy collectibles, both create products that appeal to young consumers. They then use digital marketing to reach out to this audience, employing social media platforms to engage with them, showcase new products, and create a sense of community. The success of Disney and Pop Mart can be attributed to their ability to seamlessly integrate online and offline marketing efforts, creating a cohesive brand experience that keeps customers coming back for more. Their DIM strategies have not only increased their sales but also solidified their positions as market leaders in the entertainment and collectibles industries. By staying ahead of trends and continuously innovating, they have managed to captivate the hearts and wallets of young consumers worldwide.
Embracing the Future: A Reformative Framework for English Language Instruction
Authors: Shao Tianyue
Published: December 2024

This paper focuses on the defects and deficiencies in the high coverage of English teaching in the world due to the importance of English as the international language for communication in the context of globalization. It points out the existing problems in the present teaching scheme, including the rigidity of teaching mode, the difference of teachers’ quality, the lack of practical opportunities, the limitation of the evaluation and feedback system. On this basis, the paper puts forward some feasible improvement strategies, which emphasizes on the importance of stimulating students’ learning motivation, and advocates cultivating curiosity for knowledge by designing interesting learning tasks and adding gamification elements, so as to give students the initiative in learning and improve teaching quality. In addition, the article also discusses the application of science and technology innovation in education, and advocates the use of online platforms, social media, artificial intelligence and other technological means to promote the improvement of learning efficiency. Finally, it points out the importance of teacher’s role change in learning and proposes that teachers have become the designers of learning situations through the above methods to adapt to the needs of the new era in education and teaching.
Exploring HIV-1 Cure Strategies: Insights from CCR5Δ32/Δ32 Allogeneic Hematopoietic Stem Cell Transplantation
Authors: Li Leyan
Published: December 2024

Human Immunodeficiency Virus Type 1 (HIV-1) remains a major global health concern despite advances in antiretroviral therapy (ART). ART has transformed HIV-1 into a manageable chronic condition, yet it is not curative, as it does not eliminate viral reservoirs that persist and can reignite infection if treatment is discontinued. A functional cure for HIV-1—control of the virus without ongoing ART—has been a significant focus of research, particularly through approaches such as allogeneic hematopoietic stem cell transplantation (HSCT) with donors harboring the CCR5Δ32 mutation. The CCR5Δ32 mutation prevents HIV-1 from entering host cells by disrupting the CCR5 receptor, a key co-receptor for viral entry, which makes individuals resistant to CCR5-tropic strains of HIV-1. This review mainly focuses a case study of a 53-year-old male with HIV-1 and acute myeloid leukemia (AML), who received a CCR5Δ32/Δ32 HSCT in 2013. The patient exhibited long-term HIV-1 remission, with no viral rebound 48 months after stopping ART. Despite sporadic detection of HIV-1 DNA, no replication-competent virus was found through extensive virological and immunological assessments. The study suggests that the combination of CCR5Δ32/Δ32 transplantation, chemotherapy, and a graft-versus-HIV effect contributed to reducing the viral reservoir and maintaining viral suppression. In addition to other four cases with similar situation from the past, which are London case (2009), Berlin case (2013), Caucasian case (2022), and US case (2022), together supporting the potential of CCR5Δ32/Δ32 HSCT as a functional cure for HIV-1, while highlighting the need for further research to optimize this approach for broader application.
Shaping the perception of Sustainable Fashion: Power Intervention as Metaphor of Social Media Discourse (Power - government power)
Authors: Dong Caimeng
Published: December 2024

Social media and government regulations play critical roles in promoting sustainability, but both confront substantial hurdles. Platforms like Instagram and TikTok democratise sustainability talks, yet also face challenges such as greenwashing and consumerism. Governments can incentivise sustainable activities through legislation, but they frequently meet criticism from economic interests and challenges in international cooperation. This study looks at how social media and government interventions influence popular perceptions of sustainable fashion. The study investigates how government organisations disseminate sustainability themes using discourse analysis, interviews with designers, lawmakers, and influencers, as well as content analysis of government and fashion-related posts. The findings suggest that while government programs shape public discourse by portraying sustainable fashion as a societal responsibility, scepticism regarding the genuineness of these messages reveals a trust gap. Governments use social media to influence public opinion through eco-labeling, sustainability certifications, and collaborations with environmentally aware individuals, however greenwashing remains a challenge. Influencers use channels like Instagram and TikTok to fight scepticism by delivering honest, emotional stories that make sustainability more relevant. The study emphasises the importance of transparency in government messaging and proposes that visual content might help make sustainability more accessible to the general population. It provides vital insights on how the government and social media may work together to promote sustainable fashion, as well as recommendations for future eco-friendly garment sector promotion initiatives.
Impact of geopolitical conflicts on countries
Authors: Zeng Yijian
Published: December 2024

The repercussions of the Russo-Ukrainian War, which commenced in February 2022, have prompted a resurgence of academic interest in the formulation of national strategies in the context of a conflict that has global ramifications. This paper examines post-war recovery strategies by analyzing the Russian-Ukrainian conflict, the historical precedent of World War II, and select countries’ policy responses to these crises. The analysis considers both short-term measures and long-term policies, aiming to identify key factors that contribute to successful recovery and stability. Furthermore, it investigates potential strategies that governments can employ to mitigate the adverse effects of global economic downturns precipitated by volatile world situations, including disruptions in trade, energy supplies, and financial markets. This study also highlights the profound impact of interstate conflict on populations, emphasizing the need for leaders to develop comprehensive, proactive strategies that address both economic and social dimensions. By exploring these issues, the paper aims to provide actionable insights for policymakers and contribute to the broader discourse on conflict resolution and sustainable development.
A systematic review on high-frequency spinal cord stimulation therapy for neuropathic pain
Authors: Zhao Yuanbo
Published: December 2024

Neuropathic pain is a complex, chronic pain caused by damage to the nervous system, affecting 6.9% to 10% of the population globally. In contemporary society, the therapeutic efficacy of high-frequency spinal cord stimulation (HF10) at 10 kHz has been confirmed by multiple studies and clinical tests, especially in alleviating pain associated with complex regional pain syndrome (CRPS), diabetes-related neuropathy and Peripheral nerve damage. HF10 therapy not only significantly reduces pain, but also avoids the paresthesia caused by traditional SCS during the treatment process. According to a SENZA study, 88% of participants reported greater than 50% pain reduction after one year, and HF10 excelled at improving daily activities and quality of life. In addition, HF10 treatment has fewer side effects and good long-term effects and is free of paresthesia, making it significantly cost-effective. These findings highlight the potential of HF10 as an innovative treatment in the management of chronic neuropathic pain, providing new hope for patients.
Tencent’s Corporate Information and Investment Prospects
Authors: Su Han
Published: December 2024

Tencent is a world-leading Internet technology company headquartered in China and founded in 1998. The company has an in-depth presence and a significant presence in a number of areas, including social media, online gaming, financial technology, artificial intelligence, cloud computing and digital content. Tencent’s WeChat and QQ are globally recognized instant messaging tools that connect hundreds of millions of users and greatly facilitate interpersonal communication and information transfer. Tencent’s position in its field is crucial, not only providing users with quality products and services, but also promoting the progress and development of the entire industry.
Research on the Impact of Digital Currency on Anti-Money Laundering and Countermeasures
Authors: Liu Fangning , Wang Liru , Wen Zhaopeng
Published: December 2024

With the development of financial technology (Fintech), digital currency, as an emerging financial instrument, has become the focus of global attention. While transparency and traceability contribute to anti-money laundering (AML), decentralized trading platforms lack know-your-customer (KYC)and AML measures and can be used for money laundering. This thesis explores the potential applications of digital currencies in anti-money laundering, such as transaction tracking and decentralized identity authentication, starting from the regulatory measures of digital currencies in various countries around the world. At the same time, this thesis analyzes the challenges faced by digital currencies in anti-money laundering, such as anonymity, irrevocability and information asymmetry caused by transnational issues, and puts forward countermeasures and suggestions, including strengthening technology application and innovation, strengthening supervision and cross-border cooperation, and strengthening education and training.
Effect of Vitamin D on Depression
Authors: Zhang Runge
Published: December 2024

Depression is a serious mental disorder in the world, it is a mental disorder w ith high morbidity, high clinical cure rate but with low treatment acceptance rate and high recurrence rate. The main features are significant, persistent depressed mood, and some may be self-harming, suicidal behavior, and may even be accompanied by psychotic symptoms such as delusions and hallucinations. Its core symptoms are persistent low mood and decreased interest in things, and among many symptoms, suicide is the most severe. Depression can take a serious toll on the depressed person, their family, and even society. Clinically, depressive disorders can be divided into mild, moderate and severe according to the number, type, severity of symptoms, respectively for different groups such as the elderly, children, mothers, etc., called geriatric depression, childhood depression, postpartum depression, etc. Treatment of depression mainly includes medication, psychotherapy and physical therapy. Medication is the mainstay of treatment, but it is important to note that all medications should be taken strictly as directed by a doctor. In addition to medication, psychotherapy can also be effective in reducing the risk of relapse. Nowadays, with advances in medicine, research on the relationship between nutrition and depression has progressed, and this article will discuss the correlation between vitamin D and depression.
Analyzing A24’s Successful Promotion of Moonlight Based on Precision Marketing Strategies
Authors: Yang Yuheng
Published: December 2024

This research examines the strategies utilized by A24 to effectively merge conventional advertising with social media to promote the independent film Moonlight, attaining both economic and artistic success. In the modern digital media landscape, marked by swift changes, independent films often face challenges in achieving prominence in the mainstream market. This is mostly attributable to constrained resources and specific target demographics. This study conducts a comprehensive analysis of A24’s marketing strategy, emphasizing the company’s innovative integration of traditional media, such as cinema trailers and television advertisements, alongside social media platforms like Twitter and Instagram, aimed at expanding audience reach. This study, which combined current literature and a case study analysis, determined that A24 successfully combined the extensive influence of conventional media with the individualized, interactive characteristics of social media. This strategy markedly improved audience engagement, fostered cultural relevance, and optimized market visibility. The study indicates that the amalgamation of conventional and digital marketing tactics might effectively assist independent films in surmounting resource constraints, offering a significant framework for future independent film marketing strategies and industry practices.
The Impact of the ‘Internet Stepford Wife’ Phenomenon on the Construction of Women’s Gender Temperament
Authors: Zhang Yuqi
Published: December 2024

In modern society, with the rapid development of Internet technology and the rise of various new media platforms, a phenomenon known as ‘Internet Stepford Wives’ has gradually become a hot topic of discussion. This phenomenon usually refers to a group of women who attract a large number of fans and attention by displaying their beauty, family life, and traditional gender roles through the Internet platform. This paper aims to analyse the causes of the phenomenon of ‘Internet Stepford Wives’ and explore the sociological factors behind it. The paper analyses in detail the role of traditional gender roles and cultural norms in the phenomenon of ‘Internet Stepford Wives’, and reveals the influence of the media in spreading gender stereotypes and reinforcing traditional images of women. The paper argues that the phenomenon of ‘Internet Stepford Wives’ is not only a product of the fusion of traditional gender roles and modern media but also a result of the interaction between the Internet economy and cultural consumption. Through this study, a call is made to society to interpret the phenomenon of ‘Internet Stepford Wives’ more comprehensively and rationally and to promote gender equality and the realization of women’s self-worth. This study not only has theoretical significance but also provides a reference for gender equality issues in reality.
Review on Strategies for Pb and Hg Removal in Floodwaters: The Case of Guilin, Guangxi
Authors: Lin Yunxi , Gan Junting , Zhang Leqin , Liu Yangyue
Published: December 2024

Since 12th June 2024, severe precipitation has struck Guilin due to the long-term intersection of cold and warm air streams. Cutting clean water supplies and sanitation services is detrimental and may threaten citizens’ health. Additionally, mercury ions and lead ions are abundant while hard to remove. In this review, different methods of water treatment process in removing heavy metal ions were discussed including chemical precipitation, photocatalysis, and biosorption. Eventually, these methods should be further improved.
Research and Development Prospects of the PHM Technology
Authors: Yang Junxi
Published: December 2024

The good development of Prognostics and Health Management (PHM) technology can effectively realise the diagnosis of faults and improve the reliability and safety of product use. First of all, the importance of PHM and the relevant basic concepts and the gaps in the current development background, as well as the relevant sensor technology are introduced, and the use of multi-fusion sensor technology is mentioned; secondly, the feature extraction and related algorithms in PHM technology are introduced respectively, and the use of PHM technology in aviation technology is mentioned. Problems and solutions of innovation and inadequacy; finally, summarise and look forward to the research and development of PHM technology.
Strategy Analysis Based on Word-of-Mouth Marketing to Address Consumer Perception in the Rebranding of the Barbie Movie
Authors: Zhao Jingru
Published: December 2024

This study explores how the Barbie movie played a pivotal role in the brand’s rebranding strategy, utilizing film as an effective tool to address long-standing challenges. The research examines how the Barbie brand, through narrative and marketing strategies, tackled issues such as gender stereotypes, unrealistic body image standards, limited career perceptions for girls, and declining market competitiveness. By adopting the PESO model and STEPPS principles, the study delves into the deconstruction of gender roles, the reconstruction of Barbie’s brand image, and the enhancement of brand influence through word-of-mouth communication. The findings reveal that the movie successfully rebuilt the brand’s image and reinforced its social responsibility, thereby improving consumer perception. Additionally, the film medium proved highly effective in elevating Barbie’s competitiveness in the modern market by helping it break free from traditional image constraints. This analysis provides valuable insights for brands seeking to leverage film as a medium for rebranding and enhancing market presence.
The Impact of Social Media on the Attention Span of Chinese Highschool Students
Authors: Wang Qingyu
Published: December 2024

This essay discusses and examines the impact of social media on the attention span of Chinese high school students, which is a growing and unignorable concern in the digital age. As platforms like WeChat, Douyin (TikTok), and Weibo become increasingly used in Chinese high school students’ daily lives, they spend lots of their leisure time engaging with fast-paced and attention-grabbing content on social media. This essay explores how these contents are decreasing students’ ability to focus on work and tasks. However, according to the data collected, it also acknowledges the complexities of this issue, noting that not all students are equally affected by social media to the same extent. In this case, giving out advice and suggestions, such as decreasing time spent on social media, using attention training, and also developing better study and work habits. These solutions will help students manipulate and control the negative effects of social media on their attention span, and therefore increase their study and working efficiency.
The Integration of Social Marketing Principles in Brand Promotion
Authors: Feng Sihan
Published: December 2024

In today’s competitive market, the integration of social marketing principles into brand promotion has become a key strategy for fostering long-term customer relationships and enhancing brand reputation. This essay explores how aligning commercial objectives with social good can increase consumer trust and promote social change. Case studies, such as The Body Shop’s “Stop Sex Trafficking of Children & Young People” campaign, Nike’s “Move to Zero,” Dove’s “Real Beauty,” Green Mountain Coffee Roasters’ “Coffee Kids,” and Thinx’s advocacy for menstrual equity, shows various benefits of this approach. These actions not only improved brand reputation and customer engagement but also addressed societal issues. The paper also predicts future trends in social marketing, including the need for authenticity, personalized marketing, technology integration, environmental focus, collaborative campaigns, and purpose-driven branding, which will guide the development of social marketing and ensure businesses thrive in a market that is becoming more socially aware. This study aims to offer an in-depth look at these trends and how they affect companies trying to balance making money with doing good.
An Analysis of the Compositional Techniques of Guo Wenjing’s Ba
Authors: Xu Feile
Published: December 2024

Composed in the 1980s, Guo Wenjing’s chamber work Ba (for cello and piano) is a representative work that combines elements of Ba Shu folk music with contemporary cello playing techniques. By focusing on its pitch organization, compositional structure, and special cello playing techniques, this study reveals how Guo Wenjing achieved a clever fusion of traditional and modern musical language through polyphonic design timbre layout and other treatments. The central themes of the work, “Lao Liu Ban” and “Mountain Song”, demonstrate the interesting rhythms and folk melodies of traditional music, respectively, and this article further explores the role of Ba in expanding the conventional sounds of China on Western instruments. This study will further explore the personalized expression of “Ba” in increasing the expression of traditional Chinese sounds on Western instruments, explaining its inspiration and influence on contemporary Chinese chamber music composition, and providing a perspective and research path for understanding contemporary Chinese music creation.
Brain-Controlled Intelligent Navigation Robot Based on Motor Imagery Brain-Computer Interface
Authors: Wang Wenxiang
Published: December 2024

With the current continuous development of brain-computer interface technology, significant progress has been made in both signal processing and application areas. The ability to control external devices using EEG signals has opened up new possibilities in medical rehabilitation. Unlike traditional rehabilitation methods, which may be limited by physical constraints, BCI-based approaches offer a more intuitive and accessible means of interaction for patients with severe motor impairments, potentially accelerating recovery and improving overall outcomes. Motion imagery brain-computer interfaces can provide users with new ways of interacting, improving efficiency and experience. By analysing the technological developments in the existing literature and comparing different approaches. Summarise their current application examples and future directions. The review finds that the research currently leaves much room for improvement in terms of signal decoding accuracy, interference and noise handling, user adaptability, and system real-time the review summarises the main technological advances and current challenges faced in the research, providing valuable insights for future research. It is suggested that future research should focus on technology integration and data parsing capability enhancement to advance the field.
Enhancing Neural Vocoders with Fourier Transform: A Frequency-Domain Approach to Improved Speech Synthesis
Authors: An Boxun
Published: December 2024

This paper introduces a frequency-domain approach to enhance neural vocoders, addressing limitations in capturing high-frequency details essential for natural and clear speech synthesis. By integrating Short-Time Fourier Transform preprocessing, the method provides two key benefits. It offers a richer, frequency-detailed input, enabling the vocoder to capture finer spectral elements for improved synthesis quality. It also facilitates targeted noise reduction, refining output clarity. Additionally, frequency-domain enhancements during generation allow selective amplification of key frequencies (e.g., 3–6 kHz). The integration of these techniques not only significantly improves the clarity and naturalness of synthesized speech but also reduces artifacts that commonly affect high-frequency content. By leveraging both traditional signal processing methods and deep learning, this framework enhances the vocoder‘s ability to accurately reproduce challenging speech spectra, providing a balanced approach that can generalize across different acoustic environments. Combining Fourier-based processing with neural networks, this approach pushes the boundaries of vocoder quality, improving both naturalness and intelligibility. These advancements set a new standard in speech synthesis, offering broader applications in audio processing.
Study of Service Trade Based on Multiple Linear Regression
Authors: Fu Jingyu
Published: December 2024

Service trade is a key part of the economic system. This passage aims to use the multiple linear regression model and the least square method to figure out the factors, which would influence the development of the service trade. In addition to that the author lists the data during the recent years to make sure the correctness and rigor of the article. The article will use China as the experimental subject, in order to analyze the current situation of the service trade markets. The reason why the passage would like to study this question is attributed to that there are some faults in the service trade market. For example, the unreasonable planning, the misuse of the staff. The article found that there is the shortage of relevant talents, and the service trade has a negative correlation between itself and the other trades. As a result, the service trade markets will learn about the detailed issue, so that the people in the service trade industry will take the appropriate measures to promote the development of service trade industry. Since many of the service trade companies will face certain kinds of the problems, so the passage aims to provide some reliable method to help the companies avoiding the problems.