bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of User-Generated Content on Information Dissemination Patterns in Social Media Platforms: A Case Study of TikTok
Authors: Yu Liyang
Published: December 2024

In the context of rapid advancements in digital information technology, user-generated content (UGC) on social media platforms has emerged as a crucial form of information dissemination. Although substantial research has been conducted on UGC, there remains a paucity of studies focusing on TikTok’s dissemination pathways and the influence of user interactions on the underlying mechanisms of information propagation. Analyzing these patterns holds significant theoretical and practical relevance. This paper employs qualitative analysis and case study methodologies to conduct an in-depth investigation of the characteristics of UGC on TikTok and its effects on information dissemination pathways and mechanisms. The findings reveal that TikTok’s decentralized dissemination model, driven by recommendation algorithms, facilitates the rapid diffusion of high-quality content, thereby increasing the diversity of information. However, this decentralized model also poses challenges, such as the proliferation of misinformation and inadequate regulatory oversight, leading to issues like information homogeneity and the “echo chamber” effect.
Spinal cord stimulator electrode materials and electrode displacement issues: current status, challenges and future developments
Authors: Xu Zexi
Published: December 2024

Spinal cord stimulation (SCS) is a key technology for the treatment of chronic pain and neurological dysfunction, and its effectiveness relies heavily on the selection and design of electrode materials. This paper reviews the electrochemical properties and biocompatibility of several commonly used electrode materials, including platinum-iridium alloys (PtIr), iridium oxides (IrOx), carbon nanotubes (CNTs), conductive polymers (PEDOT/PSS), and boron-doped diamonds (BDDs). The role of liquid crystal polymer (LCP) encapsulation technology in the long-term stability of electrodes is then discussed. Despite significant progress in the application of these materials in SCS devices, complications such as electrode migration and material degradation are still open issues. This paper analyzes the advantages and disadvantages of different electrode materials, discusses the possibility of improving electrode performance through emerging technologies such as nanotechnology and smart electrode systems, and proposes future research directions to reduce surgical complications and enhance treatment outcomes. With intelligent electrode systems and personalised treatment plans, electrical nerve stimulation technology provides greater precision, adaptability and long-term efficacy in the treatment of neurological disorders.
The Generalization of Cauchy Integral Formula
Authors: Hu Yue
Published: December 2024

The Cauchy Integral Formula is a fundamental result in complex analysis, providing a powerful method for evaluating analytic functions within a closed contour. This paper explores the Cauchy Integral Formula in its basic and higher-order forms. The basic Cauchy Integral Formula allows for the computation of a function’s value at a point inside a closed contour by an integral over the contour. The higher-order form extends this to compute the derivatives of analytic functions. The Cauchy-Goursat Theorem will be discussed, which generalizes the Cauchy Integral Formula by addressing functions with singularities inside the contour. Additionally, the paper covers the generalized Cauchy Integral Formula involving contours that enclose infinity, providing insights into its application for evaluating functions at such singularities. Practical examples illustrate the theoretical concepts, demonstrating the application of these formulas in various scenarios. This study underscores the significance of these integral formulas in complex analysis and their utility in solving complex function problems.
A comprehensive review of CO2 laser treatment for oral leukoplakia
Authors: Wu Kefan
Published: December 2024

Oral leukoplakia, also known as oral mucosal leukoplakia or oral leukoplakia, is a common oral disease characterized by patchy lesions of white or grayish white keratinization on the oral mucosa, it is recognized by the World Health Organization (WTO) as a precancerous oral mucosal disease, which has significant implications for its treatment. Carbon dioxide (CO2) laser refers to a laser that uses carbon dioxide gas as the working medium and has been widely used in oral mucosal diseases in recent decades, including oral leukoplakia. As an advanced medical technology, CO2 laser plays an important role in the field of medicine. This comprehensive review delves deeply into the intricate principles, multifaceted advantages and disadvantages, intricate operation methods, as well as the promising prospects of CO2 laser treatment for oral leukoplakia by meticulously examining and synthesizing relevant scientific literatures, to provide clinicians and researchers with a comprehensive and scientifically sound guideline for the treatment of oral leukoplakia.
Exploration of Xiaomi’s Automotive Marketing Strategy
Authors: Wang Yiya
Published: December 2024

In 2024, the competition in the Chinese automobile market is fierce, and new first tier cities, as important consumer markets, are attracting various brands to make efforts. Xiaomi has entered the automotive industry as a technology company and launched its first product, the Xiaomi SU7. The 21-45 age group is the main force of car consumption, and it is of great research significance for Xiaomi to shape and market its brand for this target customer group in new first tier cities. This study focuses on the brand building of Xiaomi cars and the marketing strategy of its first product, Xiaomi SU7. Through in-depth analysis of questionnaires, interviews, literature, and social media data collection, explore their impact on target customers aged 21-45 in China’s new first tier cities. Research has found that Xiaomi Automobile has successfully gained popularity through marketing, using price suspense and a close-to-public brand image to spark widespread discussion. And its targeted promotion to the target customer group has played a considerable role, in accurately reaching the target audience. The results indicate that Xiaomi Automobile’s brand building and marketing strategies have effectively attracted consumers in new first-tier cities who pursue intelligent technology, and focus on quality and cost-effectiveness. It provides effective references for the market expansion of similar car brands.
HHLA2 overexpression promoted colorectal cancer growth by enhancing glycosylation and weakening the binding of HHLA2 to KIR3DL3
Authors: Fan Yuxing
Published: December 2024

Colorectal cancer (CRC) ranks as the third most common cause of cancer-related fatalities globally, representing a significant public health challenge. The highest rates are reported in North America, Oceania, and Europe, particularly Eastern Europe, which may be related to “Westernized” lifestyles such as obesity and physical inactivity. In contrast, the incidence is relatively low in Asia, Africa, and South America. Colorectal cancer mortality is declining in many developed and emerging economies, linked to improved screening and treatment. However, in certain resource-limited countries like Mexico, Brazil, Romania, and Russia, mortality rates continue to rise. This suggests that despite advances in certain countries, colorectal cancer remains a serious global public health challenge and that a massive scale-up of targeted screening programs is needed to reduce its burden. HHLA2 is abundantly expressed in colorectal cancer tissues and inversely correlated with the presence of anti-tumor immune cells, indicating that it could have a dual function in both enhancing immune checkpoints and inhibiting immune responses. In addition, a change in the N-glycosylation pattern has been observed in colorectal cancer. It is closely related to the abnormal expression of glycosyltransferases. Further research on the mechanism of HHLA2 and N-glycosylation on the development and progression of colorectal cancer will help to better understand the role of these factors in colorectal cancer and provide new ideas for treatment.
Taylor Formula and Its Application Problem
Authors: Li Yiyuan
Published: December 2024

Taylor formula and Taylor series are particularly important in mathematical analysis teaching and are tools for numerical calculation. Their applications are very extensive, including calculating limits, indefinite integrals, definite integrals, high - order derivative values, determining the series are convergent or divergent, proving inequalities, approximate treatment, solving differential equations, and proving identities. This paper mainly introduces the definition of Taylor’s formula, the formula along with related proof, and the application of approximate calculation, indefinite integral, inequality proof. It was developed in the study of function expansions to provide a fine description of how a function behaves near a certain point. The significance of Taylor’s formula is that it provides a way to expand a function into an infinite series, so that the properties of a function near a certain point can be studied. It can increase the quality of teaching as well as broaden the scholastic problem - solving ideas and improving their ability to solve problems.
Simple Application of Bayes’ Formula in Military and Medical Diagnosis
Authors: Bian Yongjian
Published: December 2024

In statistics, the concept of probability is very important, and the knowledge of probability can significantly assist people in their daily lives, helping them make better decisions in uncertainty and risk assessment. In real life, because there are various prerequisites, people often use conditional probability more frequently. Bayes’ theorem is an important conclusion in conditional probability. This paper focuses on Bayes’ theorem to solve two simple problems respectively from the military and medical fields. The first problem is about radar false alarm rate. This paper simulated a radar system, which has a 95% accuracy rate and a 10% false alarm rate. Then this paper assumes the probability of enemy aircraft presence in a region is 5%. Under the above conditions, the author calculates the actual probability and research. The second problem is about medical diagnosis. The author assumes a medical test of a certain disease has 99% sensitivity and 95% specificity. The prevalence of this disease is 1%. Similarly, calculate and study these situations. This paper aims at illustrating the practical application of Bayes’ theorem through these two examples.
Research on Order Picking Path Optimization Based on Linear Programming
Authors: Ding Jiarun
Published: December 2024

Order picking plays a crucial role in logistics and supply chain management, directly affecting efficiency, cost, and customer satisfaction. With the continuous development of e-commerce and the increasing demand for fast order fulfillment, optimizing order-picking paths has become more important than ever before. This article reviews the latest research on picking path optimization, with a focus on the application of linear programming (LP) in this field. By analyzing a large number of studies and practical cases, the effectiveness of the LP model in improving order picking was evaluated. The research results indicate that LP significantly reduces picking time and travel distance, thereby improving efficiency. However, challenges still exist, especially when adapting to complex dynamic environments, where real-time response and computational efficiency are key issues. Future research directions include combining advanced algorithms and multi-objective optimization techniques. Overall, the study emphasizes the potential of LP in improving order picking while recognizing its current limitations.
Application and Prospects of Non-Invasive Brain-Computer Interface (BCI) Technologies
Authors: Xu Ruomu
Published: December 2024

The BCI technology has long been known as a technology that could transform our modern world entirely. Despite most of the BCI today being invasive, non-invasive BCI are also developing toward its real world implementation. Compared with the traditional ones, non-invasive BCI has provided us with different approaches, making BCI practical and accessible to a broader range of customers. It could empower the individual with disabilities like strokes or neurodegenerative diseases to interact with their environment without doing open-brain surgery. These BCIs could also be customized and provide a treatment that focuses the attention of the patient. Nevertheless, BCI is still faced with several challenges, such as improvement in its accuracy and efficiency. Yet the future is prosperous, Combined with higher levels of computing analysis via artificial intelligence, BCI can achieve furthermore or human could also integrate this technology within their daily life. However, preceding its application, The importance of its infinite potential regarding the danger that could undermine its benefit should be noticed. Despite its drawback concerning ethnic issues, BCI still holds unlimited potential and will continue to reshape the world today, and beyond.
Prospects of Fermented Soymilk as an Expected Plant-based Food
Authors: Wang Shu
Published: December 2024

Fermented soymilk is receiving more concern worldwide as consumers have pursued a healthy and low-carbon lifestyle in recent decades. Fermented soymilk has not only an inexpensive cost and plentiful nutrition including high content of proteins, low in cholesterol, and lactose-free but also can produce many bioactive substances after fermentation by various microorganisms. The bioavailability of nutrients such as the digestion of proteins and the reduction of antinutritional factors are improved because of the hydrolyzation of different enzymes generated from the growth of microorganisms in soymilk. Furthermore, the contents of bioactive compounds including the bioactive peptides and the free isoflavones are promoted significantly. These bioactive compounds are associated with some health benefits such as antihypertensive, antioxidant, antidiabetic, anticancer, and hypocholesterolemic effects. The sensory qualities are changed as well after fermentation. This shows that fermented soymilk can be expected as a novel nutritional and functional food in the food markets. This review covers the changes in main nutrients, bioactive compositions, and flavor compounds after the fermentation of soymilk to provide more information for the development of fermented soy milk as one of the burgeoning soy products.
Urban Planning and Construction of Beijing Area Based on Sponge City Theory
Authors: Wang Tianhao
Published: December 2024

This paper mainly discusses the theory of sponge city and its application in urban planning and construction in Beijing, so as to solve the problems of urban waterlogging and water shortage. By integrating green infrastructure, permeable pavements, and low impact development (LID) technologies, the sponge city approach enhances the resilience to extreme rainstorm events of cities. Taking Beijing Olympic Park as an example, the sponge city theory is realized through the construction of rain gardens and green roofs. The potential of urban water management and improving the quality of the ecological environment was demonstrated. In addition, this paper also gives a case simulation. The promotion of Beijing’s sponge city construction provides a model for the development of sponge cities in China. As the capital, Beijing’s experience in sponge city development can be shared with other arid regions in the north, boosting construction efforts nationwide. This initiative lays the foundation for the long-term sustainable development of the city.
Research Progress in the Field of MapReduce Framework Based on Serverless Computing
Authors: Xu Jialing
Published: December 2024

In recent years, big data technology has presented a rapid development trend with each passing day, and its application in all walks of life is becoming more and more extensive and in-depth. At the same time, traditional computing frameworks are gradually showing serious challenges in performance bottlenecks and scalability in the face of massive data processing requirements, making it difficult to meet the growing needs of data processing and highly concurrent access scenarios. Firstly, this paper introduces MapReduce framework and serverless platforms, and then introduces the MapReduce framework model based on serverless platforms from several parts of implementation, application scenarios and technical principles. This paper argues that the serverless-based MapReduce framework will provide a more efficient and flexible solution for big data processing and analyzing, which is of great significance in promoting the development of data-driven decision-making and intelligent applications. The main content of this paper will be introduced from the basic overview of MapReduce computing framework and serverless platform, the implementation of serverless-based MapReduce computing framework, technical principles and application scenarios.
Research on the Strategic Development of the Skullpanda IP Series under the POP MART Brand
Authors: Hu Xuzhu
Published: December 2024

The main research content of this paper is around the IP blind box toys of the POP MART brand and its core pop culture forms, and the main analysis object is the most popular and best-selling series of POP MART’s IP co-brands - Skullpanda trend toy IP series. And selected one of the hottest and most popular combinations of Skullpanda toys “Warmth” theme series toys. It mainly focuses on two research meanings and directions, the first is the insight into consumer behaviour and demand, and the second is the exploration of brand value and IP strategy. Text analysis and literature analysis are mainly used to explore the interactive relationship and performance between Skullpanda IP and consumers and explore the interaction and reaction among consumers by studying the comments on the posts of Little Red Book, the social media platform of Skullpanda Warmth series. It is found that the interactive relationship between POP MART Skullpanda warmth series IP and consumers has a highly sticky and positive state. In addition, the audience response from the warmth series text analysis also represents the value content and IP strategy of the POP MART brand, mainly including the strategic performance of “blind box +IP operation” which is characterized by satisfying the gambler’s psychology and curiosity mentality of the audience, as well as POP MART’s unique IP operation and brand emotion.
Olfaction and Emotion: A Neurobiological Perspective on Sensory-Emotional
Authors: Yang Liran
Published: December 2024

Olfaction is the oldest and most sensitive sensory system for most organisms to understand the environment, and it is closely related to emotions. This paper provides a comprehensive literature review of the field of mechanisms by which olfaction affects emotion, aiming to summarize and analyze the current state, trends and key issues of the mechanism of olfaction effects on emotion. Olfaction is the most likely sense to trigger emotional responses in the five senses. In-depth study of the relationship between smell and emotion can help us to better understand the mechanism of emotion regulation, and provide new intervention and treatment methods for the treatment of related diseases. This review includes several key aspects of olfactory senses and emotion, such as the physiological basis of smell, the neural mechanism of emotion and the interaction mechanism between smell and emotion, hoping to be of great help in studying the mechanism of olfactory influence on emotion and clinical intervention in the treatment of diseases.
Graphene Composite Based Flexible Sensors for Wearable Applications
Authors: Jiang Lecheng
Published: December 2024

mwymwAbstract:In recent years, flexible wearable sensors have received widespread attention for their potential application value in motion monitoring, healthcare and human-computer interaction. Graphene, as a two-dimensional zero-bandgap semi-metallic material, is an ideal material for the preparation of wearable flexible sensors due to its high carrier mobility, mechanical flexibility, and biocompatibility. Based on target species and performance requirements, researchers utilize graphene and its redox products to form carbon nanocomposites by combining them with polymers, metals and other substrates through specific preparation methods. This helps to increase the number of active sites and functional groups of modified graphene, achieving dispersion and functionalization of graphene. Such materials can effectively solve the current problems of low sensitivity and poor sustainability faced by pure graphene flexible sensors in the wearable field and promote the maturity of next-generation flexible electronic products in diversified directions. This review starts from the types and classic preparation methods of graphene composites. Then it elaborates the principles and applications of existing pressure/strain, biological, and humidity graphene composites based wearable flexible sensors. Finally, the paper comprehensively summaries the problems and challenges at the present stage and proposes the future development trends.
An Investigation of the Function of Self-Media in Facilitating the Empowerment of Rural Women
Authors: Zhao Jingjing
Published: December 2024

As technology advances, short videos have increasingly become a widely used form of media that has reached even the most remote and underdeveloped areas of China. This has given rural women’s groups a platform to communicate their opinions and perspectives. Due to social, economic, and technological circumstances, the issue of whether the growth of self-media has truly empowered rural women has become increasingly prominent. This phenomenon has not only garnered significant interest from scholars but has also exerted a wide-ranging influence on real-world implementations. To gain a deeper understanding of these challenges and effectively tackle them, this study examines the impact of self-media platforms on the empowerment of rural women. This will be done through the use of case studies and analysis of relevant literature. Through the examination and evaluation of the narratives provided by rural women on prominent self-media platforms like Kuaishou and TikTok, subsequent significant discoveries were obtained: Rural women have utilized self-media platforms to express themselves, sharing their daily experiences and emotions. However, their actions align with the societal expectations of gender roles, reinforcing traditional gender norms. Consequently, their expression remains passive and objective, highlighting the absence of alignment between the collective and individual empowerment of women. This further implies that the process of empowering rural women through online media is not fully achieved and may potentially have negative effects when viewed from a feminist standpoint.
Functions of hometown association and its role in addressing inequalities
Authors: Su Yuduo
Published: December 2024

Migrant workers, who live and work in other places than their hometown, are an important part of Chinese society, and their organization of hometown associations has also profoundly affected the situation at the grassroots level in China. This study takes the hometown association of migrant workers in Guangdong Province, whose hometown is Jingyang County, Shaanxi Province, to study the functions of hometown association and its role in addressing the inequality. The results of the study shows that for these migrant workers who work at other places than their hometown, the hometown associations have played an important role in helping them in familiarizing themselves with the local environment, finding jobs, and other basic things, for instance, handling the social insurance fee. At the same time, the role the hometown association plays in the new generation of the migrant workers, the role that the hometown association plays in safeguarding their rights are also discussed. In the process of safeguarding their rights, the inequality, including the inequality between workers and the inequality between employers and workers, are greatly alleviated. At the same time, however, the inequality is strengthened as well. Studying hometown associations will help deepen our understanding of migrant workers as a group and contribute to the current lack of research on this aspect in the academic community.
An Investigation into the Portrayal of Women on Camera and Gender Balance in Drama Series
Authors: He Jiayi
Published: December 2024

With the continuous development of film art, the image of female characters in film works has also undergone many stages of change. This study aims to explore in depth the issues surrounding the representation of women in front of the camera and the balance of gender representations in television drama. By analyzing a large number of film and television works, the study finds that the construction of female images in film has undergone a complex historical evolution. In early films, women were often portrayed as traditional and subservient to male-dominated society. Over time, however, they have gradually become more diverse, independent, and intelligent. However, gender inequality still exists in the film and television industry, and the objectification of women’s roles in films and the male gaze is still prominent. The image of women is also facing new challenges under the influence of commercialization, and the commercial representation of their consciousness has had a certain impact on the portrayal of women’s image.
Analysis of the Principle, Applications and Improvements of Foldable Structure for Deep-space Exploration
Authors: Zeng Muxi
Published: December 2024

As a matter of fact, deployable structures, a technology that has been widely used in deep-space exploration since the 1960s, are receiving more attention due to its applications in various conditions. With this in mind, this article aims to illustrate several space deployable structures available in recent years that have been adopted in the deep-space exploration. To be specific, the main content that have been applied in the deep-space exploration includes deployable antenna, deployable solar arrays and deployable surfaces. In this study, after introduction of the structures, some explanations about the operation of these unique equipment are made. According to the analysis, the current limitations for the state-of-art designs are also clarified. At the same time, the future prospects are demonstrated based on the evaluations. In conclusion, the article tries to give a brief review of the already existing technology and makes an effort to further explore the future potential of these structures.
Study of Lifestyle Habits Affecting Lung Cancer
Authors: Zeng Yingchi
Published: December 2024

Lung cancer is one of the most lethal forms of cancer and the primary cause of cancer-related mortality on a global scale. Given the rising incidence of lung cancer on an annual basis, it is of paramount importance to investigate further the potential risk factors associated with this disease in order to develop effective, personalized prevention strategies. In this study, a binary logistic regression model is used to predict the risk of lung cancer in patients by analyzing demographic and medical data. The dataset consisted of 300 study participants and 15 variables, such as smoking and gender. The dependent variable is whether the patient has lung cancer. In this study, smoking, peer pressure, chronic disease, fatigue, allergy, coughing, and swallowing difficulty have a significant positive effect on lung cancer. Furthermore, the overall predictive accuracy of the study model is 94.33%. Therefore, the predictive results of the logistic regression model are acceptable. In order to better predict lung cancer occurrence, more comprehensive clinical data and more advanced analysis techniques are needed, and more influencing factors need to be taken into account. The model lays the foundation for the prediction of lung cancer.
Predict True Distribution from a Part of Gaussian Distribution
Authors: Zhang Chengtao
Published: December 2024

This paper tackles the challenge of predicting dataset properties from a Gaussian-distributed subset, a key issue in statistical analysis and data science. The objective is to estimate the expected value and standard deviation of a comprehensive dataset with solely a subset. The methodology includes hypothesis testing, confidence interval estimation, regression analysis, Bayesian inference, and simulation methods. The study employs statistical models like linear and non-linear regression and Bayesian updating for prediction refinement. Resampling techniques such as bootstrapping and Monte Carlo simulations are used to ensure prediction reliability. By giving the smallest 50 GPA data in the 200 GPA data, the results show the methods’ effectiveness in predicting dataset parameters, with detailed calculations indicating the expected value likely falls between 4.073 and 4.173, and variance between 0.098 and 0.540. The precision and dependability of these predictions are emphasized in the study’s results, providing a strong basis for additional statistical investigation. Because it offers a thorough methodology for estimating population parameters from small samples, this research is significant for statistics and data analysis. Its findings are valuable in educational research, finance, and other fields dealing with incomplete or skewed data. The paper also highlights the importance of understanding statistical prediction limitations and uncertainties, offering a robust framework for future research and applications.
An exploration on the Nature of Gender Inequality: Are men and women fundamentally attributed by nature with equal ability and power?
Authors: Wang Yiwen
Published: December 2024

Gender inequality and the liberation of women had been a recognized social problem world-wide. The discussion lasted for ages, dating deep into history that it’s too far to know the exact happening and start of the stratification. As the society evolve, we do acknowledge the rise of the power in women’s hands-----women was given first time the right to vote in 1893, New Zealand (Soken-Huberty, 2024); The #MeToo starting in 2017 on twitter from a hashtag to a movement of women revealing the harms they experienced due to their sex, informing the world “the magnitude of the problem” (Jamillah Bowman Williams, Lisa Singh, Naomi Mezey, 2019). It is also clear, however, that such imbalance of power and treatment had yet not been solved with the dogged existence of workplace discrimination and conventions in need of questioning. Critics had informed readers with the origin and progression and changes of the disparity, advocated for the importance of addressing it. The issue is still there, so there’s more changes needed. Or, given its difficulty to be traced back and to be solved even after centuries of development and effort for liberation, is gender inequality ever an issue, or just a pattern of nature?
Integration of Radar Technology in Autonomous Driving: A Comprehensive Review of Applications, Methods, and Future Directions
Authors: Zhang Bairui
Published: December 2024

Autonomous driving refers to the capability of a vehicle to operate independently, without human intervention through the integration of both hardware and software systems. Radar technology is crucial in hardware detection. This essay seeks to thoroughly examine radar integration technology in self-driving cars and offers comprehensive reviews of technology and future directions. It will encompass an overview of radar components, various detection methodology, and their practical application in autonomous vehicles. Additionally, the type of radar and its approach of measurement are also mentioned briefly in the text. In the last section, two models are applied to test the performance of radar object detection. Based on the calculation of accuracy, precision and recall from the nuScenes dataset, The RCS-based model and machine learning based are designed for virtual testing. The results evaluate the performance of two radar models, indicating the great performance and accuracy of identification of the machine learning model yet over-optimization of RCS model.
The Content of Taoist Ritual in Chinese Opera Scripts: From Song-Yuan to Ming-Qing Dynasties
Authors: Jin Yingxi
Published: December 2024

Taoism, as an indigenous Chinese religious belief, has profoundly influenced the landscape of Chinese opera art, leaving an enduring imprint on its subject matter, content, performance aesthetics, etc. Since the Song and Yuan dynasties, Chinese opera has been imbued with the essence of folklore literature, and has drawn inspiration from Buddhism, Taoism, and folk religions. Ritual performances have been intricately interwoven within the opera arts, evolving to reflect the spiritual and cultural ethos of the era. The enduring influence of Taoism on the art form is demonstrated in the perpetuation of opera scripts through generations. The Taoist rituals began to be featured in Song-Yuan opera scripts, with a heightened prevalence in the scripts of the Ming and Qing dynasties. These rituals are typically categorized into two distinct forms: Taoist mystic-techniques rituals and retreat and offering rituals. Through the examination of the evolution of Taoist rituals in opera scripts spanning from the Song-Yuan to the Ming-Qing periods, this research illuminates the nuanced interplay between ritualistic practices and the development of Taoism during these historical epochs, and how sectarian divisions notably influenced the creation of folk art.
The challenge to fairness and justice of international anti-doping laws: Differential enforcement of international anti-doping laws
Authors: Wang Jinghan
Published: December 2024

This paper examines the challenge to fairness and justice in the enforcement of international anti-doping laws, focusing on differential enforcement by global regulatory bodies such as WADA and CAS. Through two case studies this paper illustrates that both the enforcement of relevant laws and the decision-making of judicial authorities have been interfered by external factors. Despite the presence of established frameworks like the World Anti-Doping Code, inconsistencies in enforcement undermine the integrity of anti-doping efforts, and raise questions about external factors that impair the fairness and consistency of international anti-doping laws.
A Study on the Enhancement of Product Value by Choosing the Right Characteristic Pop Culture -- Taking ‘Hello Kitty x Adidas’ Co-branded Chef Shoes as an Example
Authors: Wu Han
Published: December 2024

In recent years, the distinctive pop culture has been thriving among the younger generation. This has also led to collaborations across other fields with some of the items in the cultural explosion, thereby revitalising the traditional businesses linked to it. This study examines the explosion of Hello Kitty and Adidas Chef shoes by investigating and analysing the relevant consumer groups. The goal is to reveal the unique value of this type of creative design for product marketing in the eyes of consumers, explore the consumer motivation of the target consumer groups to purchase these co-branded products, evaluate the contribution of cross-discipline collaboration to the brands of both sides, and analyse how such co-branding partnerships enhance product value. Simultaneously, it examines the factors contributing to the long-lasting popular culture perception in relation to the promotion of the brand, the symbolic representation of Hello Kitty, and the underlying meaning of the image. Similar successful cultural and creative situations exhibit significant similarities in terms of the selection of co-branded products, alignment with users’ requirements, and processes of product creation and design. Thus, if the cultural and creative sector aims to increase the industry’s value and foster its long-term and robust growth, it should actively pursue the connection between international cooperative brands and products. It should focus on the unique psychological traits and consumption requirements of the target audience and implement innovative and daring development and design strategies.
Evaluation and Treatment of Major Depressive Disorder Based on EEG Technology
Authors: Xu Lei
Published: December 2024

Major depressive disorders (MDD) is a common mental disease that affects patients’ life quality and functioning and traditional diagnostic methods have errors so that new technological tools are urgently needed to improve the accuracy of diagnosis. The aim of the study is to investigate the application of electroencephalography (EEG) technology and to analyze the potential in the evaluation and treatment of patients with MDD. EEG technology can effectively identify specific frequency bands to patients, combining with the analysis of frontal alpha asymmetry (FAA), which could provide a new way in diagnosis of MDD. Meanwhile, deep brain electrical stimulation (DBS) technology offers new opportunities for targeted treatment. Studies have shown that EEG technology can improve the diagnostic accuracy of MDD. Additionally, the stimulation feedback mechanism of DBS technology in different brain regions provides new ideas for the treatment of Treatment-Resistant Depression (TRD).This study provides a scientific basis for the evaluation and treatment of MDD, and exhibits the future application of EEG and DBS technologies in the field of psychiatric disorders which may change the treatment paradigm for MDD patients.
Virtual reality technology’s positive influence on traditional sports
Authors: Yang Chengzhi
Published: December 2024

Because of the skyrocket in development, high technology can be seen everywhere in people’s daily lives. New energy cars, new payment methods, and society are developing rapidly. People are getting more and more familiar with the virtual reality technology. VR experience games in shopping malls, advertisements of VR equipment, and the concept of metaverse. All these things bring people a deeper understanding of VR and XR games. Virtual reality games were recognized as a super potential industry in the future. Traditional sport is an industry that influence society for a long period. People’s life was somewhat changed by the sport. Some crazy sports fans will put most of their money, effort, and time into sports and supporting their favorite team. Sports are posted everywhere, in films, documentaries, magazines, and on social media. Sports have already become a necessary part of people’s daily life. This paper will figure out how the combination of VR technology and traditional sport will bring benefits, and the VR benefits are basically around three directions. First is avoiding injury, and second is both physical and mental health care. The last is the propaganda and generalization of sport in general.
Beauty Brand’s Marketing Strategy Routine in the Competitive Environment of the Cosmetics Industry
Authors: Liu Yiyi
Published: December 2024

In the early days, people referred to cosmetics with adjectives that were derogatory because they were thought to contain excessive amounts of harmful chemicals. According to the development and improvement of science and technology, cosmetics are no longer the way they were introduced in the newspaper. The meaning of its existence is to make people more confident and beautiful after use. The topic of the study is how cosmetics improve people’s appearance and feelings. In this context, this study discusses the competitive trend and market impact of the cosmetics industry. Specific topics include the evolution of cosmetics brands’ competitive strategies, changing consumer preferences, and the enduring stability of the market. In order to achieve this goal, the current competitive environment of the cosmetics industry and the coping strategies of major brands are systematically analyzed. Finally, the conclusion is that cosmetics through the change of The Times, through the experiment found these harmful ingredients, the relevant departments are also strictly avoid for the public can be safe and secure use.
Exploring the Applications and Drawbacks of Artificial Intelligence in Gaming
Authors: Tao Ye
Published: December 2024

In the domain of gaming, Artificial Intelligence (AI) technology is emerging as a significant force driving game development, exerting profound influences on both players and developers. This paper delves into the applications of AI within the gaming industry and its transformative role in modern gaming experiences. Through a review of literature and information gathering, the paper provides a detailed analysis of AI’s applications in areas such as automated testing, text analysis, anti-cheating systems, non-player character (NPC) behaviors, and game graphics, exploring the operational mechanisms of these technologies. Additionally, the paper discusses several challenges posed by AI, including issues of privacy and security, the transparency of AI algorithms, and concerns of fairness. These issues necessitate resolution through ongoing technological advancements and stringent security protocols. Overall, the application of AI in the gaming industry holds broad prospects, with expectations that it will further propel innovations in game development and player experiences in the future.
Understanding Substance Abuse Across Generations: A Comparative Analysis of Adolescents and Older Adults in the U.S.
Authors: Wen Jiayin
Published: December 2024

Substance abuse remains a critical public health issue in the U.S., with rising overdose rates affecting both adolescents and older adults. Despite the growing impact on these age groups, there is a gap in research exploring the distinct factors that drive substance abuse across generations, particularly among older adults, who remain underrepresented in clinical studies. This essay aims to compare the current situation and psychological, social, and policy-related drivers of substance abuse between adolescents and older adults, while proposing age-specific interventions to address these issues. Using a literature review and data analysis from national health surveys and clinical research, key findings suggest that adolescents are increasingly vulnerable to synthetic opioids like fentanyl, while older adults face challenges related to polypharmacy, chronic pain, and inadequate healthcare access. Consequently, this essay emphasizes the need for distinct prevention and treatment methods, calling for more inclusive research on older adults though advancing public health policies, improved access to addiction treatment by expanding practitioner workforce, and the use of digital health tools to provide age-appropriate care in the future.
Improving the control system of smart home automation
Authors: Tang Zekai
Published: December 2024

Indoor temperature control systems are crucial for providing a comfortable indoor environment and achieving efficient energy utilization. With the continuous advancement of technology, various advanced technologies and methods have been applied to indoor temperature control systems to enhance their performance and efficiency. Base on the design of a simulated smart home system, the main thing is that, after the sensor data is collected (e.g. temperature), the power knob that controls the temperature is adjusted to get the desired temperature according to the user’s needs, or energy efficiency. So the new parameters of this system will be given anew and can be obtained by calculations based on the laws of the physical world such as thermodynamics, or by training the algorithm according to the user’s preferences. The core is the modelling of a discrete controller behind it, a second-order approximation of the control system. This article will discuss in detail the improvement methods of indoor temperature control systems.
Improved Electrochemical Properties and Applications of Graphene Composites
Authors: Wei Wenkai
Published: December 2024

Graphene composites have significant advantages in improving electrochemical properties and applications. Graphene is an ideal material for improving electrochemical performance due to its two-dimensional structure, high electrical conductivity and large specific surface area. However, pure graphene still has some defects in electrochemical performance, such as agglomeration problems, interfacial problems, stability problems, and high production cost, etc. Therefore, the composite of graphene with organic, metallic and non-metallic materials can significantly improve the electrochemical performance and the thermal management of composites. The high strength properties of graphene also enhance the mechanical properties of composites and improve the tensile and compressive strength of materials. Compared with traditional materials, the low density of graphene can help reduce the overall weight of the composite material and improve its corrosion resistance. This paper compares these three composites in terms of improved electrochemical properties and explores the improvement of electrical properties to some extent by compositing graphene with these three materials. Finally, some applications of such composites such as batteries, flexible electronics and capacitors are also analyzed.
Comparison Between Different Field-Effect Transistors
Authors: Ma Liyuan
Published: December 2024

Semiconductor devices are ubiquitous in modern life, essential to almost all electronic equipment. These devices, particularly diodes and transistors, are crucial for amplifying and controlling current and voltage in various components. Field-Effect Transistors (FETs), a type of transistor, control output current through input voltage and are categorized into Junction Field-Effect Transistors (JFETs) and Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs). JFETs operate under reverse bias and function only with negative gate-source voltage, while MOSFETs are further classified into enhancement and depletion types, distinguished by positive and negative threshold voltages, respectively. Both JFET and MOSFET exhibit similar behavior as drain-source voltage increases, transitioning through ohmic and saturation regions, with current initially rising and then stabilizing. JFETs offer advantages in easy and low-cost processing, whereas MOSFETs provide superior stability and higher breakdown temperatures due to increased resistance between gate and source. This enhanced performance makes MOSFETs preferable in many applications, especially where high reliability and performance are required. The versatility and efficiency of these semiconductor devices continue to drive advancements in electronics, enabling the development of increasingly sophisticated and compact electronic systems that power this paper daily lives.