bluuebunny/crossref_metadata_2025 huggingface dataset:
Feminist expression in American country music a case study of Taylor Swift
Authors: Li Jingwei
Published: October 2024

This article employs a feminist theoretical perspective and utilizes textual analysis to examine the feminist expressions within the music of American female musician Taylor Swift. Through analyzing the lyrical content of several songs imbued with typical gender themes such as “Fearless,” “Speak Now,” “Miss Americana & The Heartbreak Prince,” “The Man,” and “All Too Well,” this study reveals that Taylor Swift’s music explores themes of female autonomy and advocates for increased awareness of gender inequality issues. In her feminist discourse, Taylor’s songs integrate emotional nuances from personal experiences alongside critiques of societal gender oppression.Through these analyses, this study aims to uncover the expression of gender consciousness in musical compositions and elucidate the interactive relationship between musical works and feminist discourse and construction. Additionally, this research provides insights into feminist expressions within American country music through Taylor Swift’s compositions, thereby contributing significantly to the exploration of music’s influence on gender identity and women’s rights.
Microorganisms in Fermented Foods and Their Effects on the Human Body
Authors: Liu Sijia
Published: October 2024

In recent years, microorganisms in fermented foods have shown an important role in regulating human health. Studies have shown that probiotics have significant health benefits in fermented foods, such as improving gut health, stimulating immune function, and promoting metabolism, and mental health. Specifically, lactic acid bacteria in yogurt can increase the number of beneficial bacteria in the intestines and reduce the growth of pathogenic bacteria, and yeasts such as Saccharomyces cerevae have multiple health effects on intestinal microbiota protection and anti-inflammation. In addition, various enzymes and metabolites produced by Aspergillus during fermentation process can improve the nutritional value of food. However, although lots of research has been done, the understanding of the microbial mechanism under different fermentation conditions is still insufficient. In this article, the types and influencing factors of microorganisms in yogurt, wine and seasoner were reviewed. The effects of temperature, pH value, fermentation time and other conditions on microbial activity and product quality were analyzed. The results showed that suitable fermentation conditions could significantly increase microbial activity, improve product flavor and health function, and provide a theoretical basis for optimizing the production process of fermented food. The article provides a theoretical basis for improving the fermented food production process, thus helping to improve product quality and market competitiveness. However, this article has some limitations like the lack of understanding of interactions between different microorganisms. Future research should focus on examining the collaborative relationship between these microbes to improve the health benefits and production efficiency of fermented foods.
Application of Machine Learning in Human-Computer Intelligent Confrontation
Authors: Xing Liwen
Published: October 2024

Human-computer intelligent confrontation is a widely used technique in a lot of game scenarios, and the artificial intelligence makes a lot of success in different fields. The level of artificial intelligence improves quickly with the development of machine learning. Machine learning refers to enhancing the capabilities of artificial intelligence through the interaction of machines and data. Among all kinds of machine learning, the most famous one is deep reinforced learning. This technology is currently widely used in human-computer confrontations. This article introduces the technical principles of machine learning and reviews the development history of machine learning theory. Besides, this article introduces the application of machine learning in the two important competitive fields of Go and Texas Hold’em, as well as its development and achievements in these two areas. This article can enable other scholars to have a more comprehensive and systematic understanding of machine learning and its applications in Go and Texas Hold’em.
The Influence of Online Information Dissemination on Tourism Intentions: A Study of China’s Internet celebrity Cities
Authors: Zhang Yuxuan
Published: October 2024

This study explores the pathways through which online information dissemination impacts tourism intentions in China’s internet celebrity cities. Through quantitative analysis, the study reveals how online information dissemination influences tourist attitudes and transforms them into tourism consumption intentions by enhancing city awareness, increasing information trustworthiness, and boosting online attention. The results indicate that city awareness, information trustworthiness, and online attention significantly and positively impact tourist attitudes, which in turn further strengthens consumption intentions. The study also finds that attitudes play a significant mediating role between these factors and consumption intentions. The research employs a questionnaire survey, along with reliability and validity analysis, regression analysis, and mediation effect analysis to ensure scientific and reliable results. The findings provide empirical evidence for city managers and tourism practitioners on how to enhance city tourism attractiveness through online dissemination, while also pointing out new directions for future research, with significant practical implications.
From Political History to Political Studies: A Brief Introduction to Political History and Political Science History
Authors: Gong Qinmengtai
Published: October 2024

In Metapolitics, Alain Badiouclaimsthat there is no philosophy of any kind, inclusive of philosophy of politics, existing prior to politics. This is the prime purpose of our brief introduction to political science history. We cannot ignore the historical text of political science when exploring the philosophy of politics. “Transcendence” and “immanence”, these two important approaches of philosophy, co-exist in the history of thoughts. By transcendence it refers to the exploration of the universal truth; by immanence it is the truth self-owned by general people. Philosophy gives attention for the first time to modern people in Kant’s What is Enlightenment. In this essay, what we see is not a definition of human in universal historical context, as is discussed in “Cogito Ergo Sum” (I think, therefore I am) paradigm of discourse by Descartes. It is an important events in academic exploration of human’s immanence, as the historical identity of human as the subject of knowledge is highlighted in academic history in a formal manner and then presented to later generations.
Impact of COVID-19 on the Effectiveness of Financial Management of Insurance Companies in Mainland China
Authors: Jin Tiffany , Chen Zihan
Published: October 2024

The COVID-19 pandemic starting in 2019 has brought significant disruption and turbulence to the global economy, specifically the financial sector. At the same time, the increased awareness of risk in businesses, governments, and individuals should alleviate this disruption to the insurance industry. However, the general trend of the Chinese insurance industry varies among companies, specifically into three types: companies with healthy financial conditions and positive subsidiary expansion, unhealthy financial conditions and negative subsidiary expansion, and unhealthy financial conditions and positive subsidiary expansion. By studying five listed prominent insurance companies in China using qualitative methods, researchers found a general relation between the financial metrics of an insurance company and the subsidiary expansion number, but this relationship isn’t inclusive. The cause of this variation is the difference in choosing a risky or prudent financial strategy and the adaptation to digital transformation.
Advanced Image Classification Using Convolutional Neural Networks
Authors: Cai Guangzhou
Published: October 2024

Deep learning is essential for computer vision and object detection. This project explores the use of Convolutional Neural Networks (CNNs) for image classification using the CIFAR-10 dataset, which is widely used and provides a robust benchmark for evaluating image classification models. The CNN model, comprising various convolutional, pooling, and fully connected layers, is trained on a portion of the dataset and tested on another portion to evaluate its performance. Techniques such as data augmentation, dropout, and specific activation functions are employed to enhance the model’s efficacy. The study details the CNN architecture and reports the results, including accuracy metrics, to demonstrate the model’s effectiveness.
Solving the Small Disturbance Equation and Numerical Method Optimization in Subsonic and Supersonic Flows
Authors: She Siyuan
Published: October 2024

This paper addresses the solution of the Small Disturbance Equation (SDE) under subsonic and supersonic flow conditions using Successive Over-Relaxation (SOR) techniques. The study implements and validates numerical methods tailored to the unique dynamics of these regimes by setting precise boundary conditions, adjusting computational stencils, and managing the Mach number ( M∞ ) across the solution domain. A detailed comparison of streamline patterns between the regimes illustrates the efficacy of the applied numerical strategies. In the subsonic domain, the flow demonstrates uniform and smooth characteristics, conducive to standard SOR techniques, as evidenced by the rapid decline in residual errors, confirming the method’s efficiency for accurate solutions. Conversely, the supersonic regime presents increased complexity where standard finite difference methods encounter notable challenges, necessitating more sophisticated approaches to capture the intricate flow behaviors effectively. Conversely, in the supersonic regime, where the flow behavior exhibits more complex characteristics, the standard finite difference method faces challenges.
Study of the Importance of Irrigation Projects to Agricultural Water Resources Using the Baiqi Canal as an Example
Authors: Liu Yiran
Published: October 2024

In the global economic system, the stable development of agriculture as a basic industry is inseparable from the rational utilization of water resources. Irrigation projects play a vital role in ensuring agricultural water use, increasing grain output and promoting agricultural sustainable development. This study aims to explore the scientific experience of Baiqi Canal, an excellent irrigation project in ancient China, and its profound value as a world irrigation project heritage, analyze the importance of irrigation projects to agricultural water resources, and promote the protection and sustainable utilization of irrigation project heritage. Firstly, the irrigation mode of Baiqi Canal and its important role in agricultural development were introduced, and then its influence on local agricultural water resources and ecological environment was analyzed. Finally, the positive influence of international irrigation projects on agricultural water resources was further discussed, and its key role in ensuring food security and promoting agricultural sustainable development was emphasized.
The Advantages of Health Recommending System with Wearable Devices
Authors: Sun Yihuan
Published: October 2024

The health recommendation system is one of the critical application scenarios of machine learning technology. With the advantages of wearable and mobile devices to collect rich user health monitoring data, machine learning algorithms can accurately advise users’ health status and corresponding living habits. However, some technical and regulatory challenges still need to be solved at this stage. Specifically, to ensure real-time recommendation results, the health recommendation system needs to adopt the method of training computational learning algorithms on wearable devices. However, due to wearable devices’ limited computing resources and storage space, it is often difficult to obtain satisfactory results by changing the strategy. In addition, the issue of data privacy deserves attention because wearable devices collect a lot of user privacy information, but the data manager is often not the user himself. Finally, Bluetooth protocol usually connects wearable devices, making them vulnerable to intentional attacks. This paper investigates the above problems and expounds on the solutions to related problems.
Trends and Influencing Factors in Film Box Office: A Study on Chinese Domestic and International Films
Authors: Tao Kaidi
Published: October 2024

At present, box office performance has become one of the critical indicators of a film's success. Both domestic and international film markets have shown steady growth; however, the box office performance of different films varies significantly. In light of this, this paper focuses on the box office development of domestic and foreign films, reviewing and analyzing the factors that influence the box office performance of many films. Additionally, a comparative analysis between domestic and foreign films is conducted. According to research findings, the primary factors affecting the box office performance of domestic films include the "mainstream" theme, storyline, realistic social topics, release timing, and multimedia promotion. In contrast, the factors influencing the box office performance of foreign films mainly involve the production company, country of origin, type of film, technological innovation, and online reputation. Based on these findings, this paper further analyzes the shortcomings that have led to the box office failures of both domestic and foreign films. Furthermore, recommendations for enhancing box office performance, applicable to all films, are proposed from four dimensions: film content, filming technology, market timing, and marketing strategies.
How Does Empathy Become Morally Energising for Agents? ——Michael Slote Emotionalist Ethics of Care Study
Authors: Ma Sujun
Published: October 2024

In the face of the moral decline exacerbating problems such as “indifference” and “ignorance” in present times, this article takes into account the background of the times, starts from the perspective of stimulating the moral action of the agents, and takes the empathy of the contemporary ethicist  Michael Slote’s affective caring ethics as the core of the study, and further clarifies and elaborates the operation mechanism and its superiority and limitations of the “empathy-caring” emphasised by Slote in the moral life from the individual to group, by comparing it with rationalism. Through a comparative study with rationalism, the paper further clarifies and elaborates the operation mechanism of “empathy-caring” emphasised by Slote in the moral life from individual to group, as well as its superiority and limitations, especially, the Stole’s ethics has absorbed and developed the concept of yin and yang in Chinese thought, and provides a new way of thinking for explaining moral behaviours, solving moral dilemmas, and improving moral literacy.
The Induction of Diabetes by High-Sugar and High-Fat Diets and Potential Applications of Healthy Eating
Authors: Zhang Yuexi
Published: October 2024

The rising prevalence of diabetes has intensified research in this field. Among the various causes of diabetes, insulin resistance plays a crucial role. High-sugar, high-fat diets are known to induce hyperglycemia and obesity, which significantly affect the progression of insulin resistance. It should be noted that obesity can significantly increase insulin resistance, thereby inducing prediabetes and aggravating diabetic symptoms. Additionally, such diets disturb the balance of intestinal flora. Controlling carbohydrate intake through low-carb or ketogenic diets can effectively improve glucose and lipid metabolism, improving insulin sensitivity, reducing insulin resistance, and lowering insulin levels. Adjustments to diet can also help shape a healthy gut flora composition. Furthermore, consuming natural products like flavonoids can also contribute to the improvement of diabetic symptoms. This article summarizes the impact of high-sugar, high-fat diets on the progression of diabetes, their effects on insulin resistance and intestinal flora, and the regulatory benefits of a healthy diet in managing diabetes.
A Study on the Influencing Factors of New Media Short Video Platforms on Adolescent Mental Health
Authors: Wang Yifan
Published: October 2024

With the rapid development of the Internet and mobile technology, new media short video platforms have rapidly become popular around the world and have become an important part of adolescents ‘s daily lives. Short video platforms are popular among adolescent for their rich content and strong interactivity. However, the popularity of short video platforms also brings potential impacts on the mental health of adolescents. This study aims to discuss the specific influencing factors of new media short video platforms on adolescents’ mental health. It uses a combination of questionnaire surveys and literature searches to study factors such as the frequency of adolescents’ short video use, content preferences, and interactive behaviors The results of this study show that new media short video platforms have a multi-faceted negative impact on the mental health of adolescents, mainly manifested in increased psychological stress, decreased sleep quality, and decreased academic performance. The research further concluded that when adolescents overuse short video platforms, their academic and social pressures increase significantly. In response to this type of problem, it is recommended that parents and educators provide more guidance, use short video platforms reasonably, and create a healthy online environment.
Accessible Infrastructure Development for the Visually Impaired
Authors: Shui Guoce
Published: October 2024

This paper focuses on daily struggles of visually impaired individuals with public infrastructure and services. Although it is now a cliche on making progress globally in disability rights, the reality on the ground is different. Infrastructure supporting independent mobility and social inclusion for the blind are often far from providing such aids and considerations, something that makes them navigate through a world whose design does not reflect the needs of the visually impaired people. The study brings out the critical issues of scarcity of tactile paving, inadequacy of braille signage, and complete absence of audible traffic signals, each of which is a grim reminder of how systematic these individuals are left out from being part of society. These are the physical barriers, but much more is beyond this. This research proposes practical solutions that can develop more inclusive standards, integrate innovative technologies, and overcome social and financial hurdles. By raising these issues, the paper seeks to contribute important ideas for policymakers, urban planners, and advocacy groups to truly motivate the collective action needed to make public spaces fully and widely accessible. The findings underscore the need for shared responsibility in infrastructure improvement, which will significantly enhance the quality of life for the blind and help reach society’s goals of being fairer and more inclusive.
Reasons for the Formation of Young People’s Fertility Intention under the Three-Child Policy and Measures to Cope with It--Taking Ordos City as an Example
Authors: Dan Yaxuan
Published: October 2024

In 2020, China’s total fertility rate fell below the international demographic threshold. In 2021, China’s average annual population growth rate fell to 0.53%. To cope with this situation, the three-child policy and its supporting policies were introduced in July 2021 in China. Taking Ordos City as an example, this paper utilizes semi-structured interviews to investigate the fertility intentions of Chinese youth and the reasons for their formation. The study finds that the overall low fertility intentions of young people are mainly influenced by their one-child families of origin, the rising costs of childcare due to elite education, the spread of feminist views on childbearing, and the suppression of childbearing by social media. In addition, most young people are unaware of the three-child policy and its supporting policies. In order to address this problem, this paper presents multiple policy recommendations, such as improving the financial guarantee mechanism for universal preschool education. While increasing the research on fertility intentions in western China, this study provides a reference for improving the three-child policy and its supporting policies aimed at unleashing China’s fertility potential and improve the low fertility level.
Environmental Stress Drives Transgenerational Epigenetic Inheritance through miR-212/132 Expression Alterations
Authors: Luo Yuancheng
Published: October 2024

Transgenerational Epigenetic Inheritance (TEI) is a phenomenon that is deeply affected by the presence of environmental stress and disease. This phenomenon has been proposed to accelerate the evolution of many animal species. However, most current studies commonly focus on the C. elegantly which is frequently presented as deviating a lot from humans and the studies on mice still fail to propose a plausible explanation for the detailed mechanism of TEI in mammals. In this study, we primarily focused on the effect of environmental stress on mice and the possible TEI characteristics it may perform. The miR212/132 was chosen as the main target for studying and the role it play in the TEI is verified. The hippocampus-sperm communication mechanism of miR212/132 will also be focused and verified which revealed why the differential expression happen in the germ-line cell.
How the government’s portrayal differed from Black activists’ portrayal of the African American soldiers in the second world war
Authors: Gao Shengyi
Published: October 2024

This article is about the difference between the portrayal from black activists and the government of the African American soldiers in the Second World War, focusing on the real situation of human right of the African Americans during the second world war, when the United States was still in the Jim Crow System. Through comparing the film made by the War Department, which represent the government and the pamphlet made by black activists which call for equal rights, we can have a comprehensive understanding of the Black’s human right.
The Impact of Social Media Marketing on the Energy Drink Industry: A Case Study of Red Bull
Authors: Song Yangyang
Published: October 2024

As Red Bull domains in the market share and is well-known for its special social media marketing strategy, this article intend to explore how Red Bull’s approach to marketing, particularly through social media, has been instrumental in building its brand identity and connecting with consumers. Through an in-depth analysis of Red Bull’s strategies on various social media platforms, this study examines the company’s distinctive approach, particularly its use of Search Engine Optimization (SEO). The analysis highlights the most prominent features and advantages of each platform, revealing how Red Bull has successfully built a strong brand image and expanded its brand influence by leveraging the power of social media. Undeniably, this success stems from Red Bull’s strategic approach of tailoring its brand message to suit each platform, thereby maximizing the utility and impact of its social media presence. The study aslo provides further actionable recommendations for Red Bull to enhance its social media strategy. Key suggestions include increasing the use of User-Generated Content (UGC) to reduce production costs and enhance authenticity, optimizing resource allocation through data-driven analysis to focus on high-impact marketing activities, and forming strategic partnerships to share costs and resources, thereby expanding reach and boosting brand presence. These strategies not only address current challenges but also offer a blueprint for other companies aiming to refine their social media marketing efforts.
A Formal Literature Review: The Roles of Cross-language Similarity and Context in Adults’ Idiom Learning of a Second Language
Authors: Jiang Yijun
Published: October 2024

This essay reviews some existing papers to understand how the similarities between a person’s native language and the new language they are learning, and the context affects adult learners’ ability to acquire idioms in a second language. Idioms are a common form of communication in any language. Therefore, it is essential for truly mastering a new language. However, due to their rich cultural connotations and the need for communicative contexts, learning these idiomatic expressions can be quite difficult. Previous studies have shown that in the process of learning a second language, idioms in the new language are easier to master when they are very similar in meaning or structure to those in the learner’s first language. In addition, the rich context can also help learners better understand and use them. Future studies should delve into the influential mechanisms and create more effective strategies to help adults become proficient in using idioms of a second language.
Progress in Investigating the Relationship between Omega-3 Polyunsaturated Fatty Acids and Coronary Heart Disease (CHD)
Authors: Wang Jing
Published: October 2024

Coronary heart disease (CHD) is a globally common cardiovascular disorder, characterized by atherosclerotic lesions in the coronary arteries, leading to narrowing or blockage of the vessels, which subsequently causes myocardial ischemia, hypoxia, and even necrosis. This condition significantly impacts the daily life of patients and represents a major contributor to both morbidity and mortality on a global scale. Omega-3 polyunsaturated fatty acids (ω-3 PUFA), Principally extracted from marine pisces and certain plants, have been increasingly shown in recent years to be closely associated with various pathophysiological mechanisms related to CHD, which holds significant value in the prevention and treatment of CHD. This review offers a comprehensive summary of the sources of ω-3 PUFA, explores the pathophysiological mechanisms of CHD, and offers an in-depth analysis of the multifaceted contribution of ω-3 PUFA in mitigating the susceptibility to CHD, particularly focusing on their effects on lipid metabolism, endothelial function, and inflammatory pathways, thereby contributing new research perspectives for the tactics for the risk mitigation and administration of CHD, including both preventive measures and therapeutic interventions.
Total Synthesis Analysis of Pseuboyenes D
Authors: Wang Hongtao
Published: October 2024

In this work, we propose a total synthesis route for the antifungal agent Pseuboyenes D, a compound derived from Pseudallescheria boydii CS-793. Pseuboyenes D exhibits antifungal activity comparable to Amphotericin B while offering the advantage of a simpler structure, making it a promising candidate for clinical applications. The system became the focus of this analysis due to its regioselectivity, and after exploration, a [2+2] photocycloaddition and ring expansion strategy was adopted to construct the key bridged ring system. The route employs readily available substrates and mild reaction conditions, making it scalable and suitable for large-scale production. Computational analysis of the regioselectivity of the photocycloaddition revealed that the bridged adduct was thermodynamically favored over the fused system. The synthetic route was further diversified by incorporating functional group modifications using TMS derivatives, enhancing the potential for pharmacological applications. Overall, this work establishes an efficient and scalable synthetic pathway for Pseuboyenes D, paving the way for future applications in antifungal drug development.
Strategic Digital Marketing Innovations: The Role of Community Engagement in Lululemon’s Market Leadership
Authors: Chen Xi
Published: October 2024

In the global sportswear market, Lululemon Athletica has emerged as an industry leader with its unique digital marketing strategy. This study explores how Lululemon has significantly increased brand awareness and customer engagement through an innovative digital strategy that combines search engine optimization (SEO) and search engine marketing (SEM) techniques. Lululemon actively utilizes social media platforms, such as Instagram, to create a strong brand community and enhance consumer loyalty and brand connection through marketing campaigns such as #TheSweatLife. This study analyzes how these strategies have helped Lululemon to gain a strong position in the market and effectively respond to challenges from competitors such as Nike and Adidas. The results show that digital marketing not only drives brand growth, but also creates sustainable customer relationships and improves competitiveness in the market. The findings of this paper provide important insights into the marketing strategies of other brands in the digital era, and despite the lack of comprehensive quantitative data support, Lululemon’s success provides lessons for exploring innovative market engagement models.
The Conceptualization of Performance Art: From Theater to the Metaverse
Authors: Tian Yuhan
Published: October 2024

This paper aims to explore how performing arts transition from traditional physical spaces to virtual ones, with a particular focus on the roles of conceptualization, popularization, and virtual identity in this process. Through analyzing these transformations, the paper seeks to uncover the new forms and development trends of performing arts in the era of the metaverse. The article proposes to begin by highlighting prior research in the semiotics of performing arts, briefly outlining the development of views on mimesis from Aristotle to semiotics and theories of identity performance. Subsequently, it discusses the journey of modern art through changes in its medium towards abstraction and conceptualization, tracing how shifts in media and technological innovations have propelled the development of performing arts from ancient theaters to the digital age. Examples of the abstraction and conceptualization of performing arts will be provided. Finally, the paper introduces the potential of the metaverse as a platform for conceptualized performing arts, discussing how metaverse technologies offer unprecedented immersive experiences and alter the ways in which audiences engage with performances.
The Promises and Challenges of AI-Facilitated Mental Health Care
Authors: Gao Jiayu
Published: October 2024

Mental health is an increasingly critical issue that demands attention. With the rapid advancement of Artificial Intelligence (AI) across various domains, AI-facilitated mental health care is particularly promising and warrants further exploration in healthcare settings. This review provides insights into the current state of AI-facilitated mental health care, identifying both its potential benefits and the challenges that need to be addressed. Particularly during the COVID-19 pandemic, when access to traditional mental health services was limited due to social distancing rules and other restrictions, the potential of AI to facilitate mental health care effectively showed. Despite the promise of AI in mental health care, several challenges remain. The lack of transparency in many algorithms, often referred to as the “black box” issue, poses significant concerns. Additionally, the rapid development and continuous iteration of numerous mental health applications have resulted in a scarcity of comprehensive data to evaluate their effectiveness. The findings from this review can inform future research and practice in the mental health field, guiding the development of more effective and transparent AI-driven solutions to support mental health conditions.
Analyzing the Phenomenon of Policy Support for the Education and Employment of Persons with Disabilities Based on the Groupthink Model--Take Hunan Province as an Example
Authors: Han Bingyu
Published: October 2024

In recent years, the Hunan Provincial government has adopted a series of support measures in the education and employment policies for the disabled. The study focused on the education and employment policy for the disabled in Hunan Province, and used the groupthink model. The study found that there are blind spots in the process of policy formulation and implementation, and the lack of attention to the overall needs of persons with disabilities, resulting in incomplete content and poor implementation. The internal differences and interaction of the disabled affect the support effect, the policy content is limited, the implementation of resistance, and the one-sided evaluation. Policy makers need to pay attention to diverse voices and practical needs, and avoid fixed thinking and prejudice. This study helps to reveal the negative impact of groupthinks on the formulation of education and employment policies for the disabled, provide warnings and reference for policy makers, promote policy innovation and improvement, and promote the inclusive and diverse development of social culture.
From Data to Diagnosis: Effective Machine Learning-based Heart Disease Prediction
Authors: Lu Tianyi
Published: October 2024

Heart disease is a leading cause of mortality worldwide, contributing to nearly 18 million deaths annually. Early detection is critical but remains a significant challenge due to the limitations of traditional diagnostic methods, which can be prone to human error. This study aims to enhance heart disease prediction using machine learning (ML) by comparing the performance of three ML models: Support Vector Machine (SVM), Random Forest (RF), and XGBoost. A dataset containing 12 features from 918 patients was used, with preprocessing steps such as one-hot encoding for categorical variables and MinMax scaling for numerical features. The models were trained and evaluated using 5-fold cross-validation to ensure robustness. Random Forest demonstrated the highest accuracy at 82.78%, followed closely by SVM (82.67%) and XGBoost (81.58%). The feature importance analysis identified ST_Slope as the most significant predictor of heart disease, providing important insights into which features are most influential in the diagnosis process. While the Random Forest model outperformed the others, this study also highlights the need for better interpretability in ML models, especially in medical applications where understanding the relationships between features is crucial. Future research should focus on improving model transparency to bridge the gap between accuracy and practical application in clinical settings.
Design and Implementation of Amplifier Circuit Based on EWB Environment
Authors: Pan Hengyue
Published: October 2024

This study details the creation and execution of a common-emitter amplifier circuit utilizing the 2N2222 NPN transistor. The study explores the fundamental principles of amplifier circuits and highlights key parameters such as voltage gain, current gain, and input/output impedance. Through simulations conducted on the EWB platform, the designed amplifier circuit demonstrated significant voltage gain and phase inversion, confirming the expected characteristics of the common-emitter configuration. The results indicate that the amplifier operates effectively within a wide frequency range, showing good bandwidth and stability. This design approach can serve as a foundation for further exploration and optimization in amplifier circuit design, particularly in modern electronic devices.
Research on the Problem Analysis and Localization Marketing Strategy of Nike in China
Authors: Liu Xucheng
Published: October 2024

This paper explores Nike’s evolving localization strategies in the Chinese market. It traces Nike’s journey from its initial entry into China to its significant growth, highlighting several key strategies. These include releasing limited edition products aligned with Chinese festivals, collaborating with influential local Chinese brands, securing endorsements from prominent Chinese sports celebrities, and sponsoring youth sports events such as the China National High School Basketball League. Additionally, Nike has actively engaged in community responsibilities and leveraged the Internet to expand its sales channels. Nike’s strategy of aligning limited edition releases with Chinese cultural events has resonated deeply with local consumers, creating a sense of exclusivity and cultural relevance. Collaborations with popular local brands have further enhanced its appeal and market penetration. Endorsements from Chinese sports celebrities have bolstered Nike’s image and credibility among local audiences. Sponsoring youth sports events has not only increased brand visibility but also fostered a connection with the younger generation. Furthermore, Nike’s commitment to community engagement and adept use of digital platforms have significantly expanded its reach and sales. These initiatives have collectively enabled Nike to continuously expand its presence and increase sales in the Chinese market, demonstrating a successful model for international brands seeking to localize effectively in diverse markets.
Advanced Numerical Techniques for Supersonic Flow Analysis: From Euler Equations to Practical Applications in Aerospace and Turbomachinery Engineering
Authors: Shan Yuhao
Published: October 2024

This paper explores advanced numerical techniques for analyzing supersonic flow, with a particular focus on the application of Euler equations in aerospace and turbomachinery engineering. Theoretical foundations such as boundary conditions, error evaluation, grid partitioning, and the Successive Over-Relaxation (SOR) method are thoroughly examined. Rigorous numerical simulations are conducted to investigate the final velocity field distribution and convergence characteristics under various conditions. The research underscores the precision and efficiency of these numerical methods, highlighting their practical applications in the aerodynamic design of aircraft and potential use in turbomachinery design. The findings contribute significantly to the advancement of computational fluid dynamics in supersonic flow regimes, providing valuable insights for engineers and researchers engaged in this specialized area. The study not only enhances understanding of complex flow dynamics but also supports the development of more effective engineering solutions in high-speed applications.
A Study on the Translation of Instructions for Heat-Clearing and Detoxifying Traditional Chinese Medicines under the Functional Equivalence Theory
Authors: He Wenyu
Published: October 2024

Heat-clearing and detoxifying traditional Chinese medicines are an important part and distinctive advantage of China’s medical and health undertakings. Traditional Chinese medicine is an outstanding traditional culture of the Chinese nation and a unique and significant health resource in our country. The rapidly growing international market has created excellent opportunities for the export of heat-clearing and detoxifying traditional Chinese medicines. Currently, the English translation of instructions for proprietary Chinese medicines lacks unified translation standards and the guidance of translation theories. The existing English translations of instructions for proprietary Chinese medicines in our country have problems such as confusion and non-standardization. Therefore, the research on the instructions of heat-clearing and detoxifying medicines under the functional equivalence theory is highly significant. This paper takes several common heat-clearing and detoxifying medicines available on the market as examples, analyzes the problems and their causes in the translation of the instructions from the perspective of the functional equivalence theory, and finds more reasonable and standardized translation methods. It helps foreign consumers understand the characteristics and functions of traditional Chinese medicine, thereby stimulating their consumption desires. This paper studies the translation process using the functional equivalence theory, investigates the structure and language features of the instructions for traditional Chinese medicine, and discusses the corresponding translation strategies for the instructions of heat-clearing and detoxifying traditional Chinese medicines at the lexical and syntactic levels respectively to achieve functional equivalence.
Research on Low-Power Digital Integrated Circuit Technology
Authors: Zhang Shimin
Published: October 2024

In today’s diverse and rapidly developing field of low-power technologies, various industries are actively applying these advanced technologies to practical production in order to reduce energy consumption and mitigate environmental pollution. Based on this core concept, this article delves into and compares the principles, advantages, and disadvantages of the low-power technology of passive tag chips with the representative low-power technologies of dual-power and crossed-zero clocking, as well as their respective application areas. Specifically, the article conducts a detailed comparative analysis of the low-power technology of passive tag chips versus dual-power and crossed-zero clocking technologies from three perspectives: power consumption, design approach, and practical application. Through in-depth research, it was found that the low-power technology of passive tag chips holds significant advantages in the logistics industry, making it particularly well-suited for this field; meanwhile, dual-power and crossed-zero clocking technologies perform better in high-performance computing, making them more appropriate for such an application environment.
Technologies in the History of the Movie Industry
Authors: Huang Zhouye
Published: October 2024

The paper titled “Technologies in the History of the Movie Industry” examines the evolution of film technologies and their profound impact on the industry. It explores key technological advancements, from early silent films to talkies, black-and-white to colored films, and the rise of CGI and 3D technology. Each advancement not only enhanced the visual and emotional experience for audiences but also helped filmmakers convey complex ideas and create immersive worlds. The success of iconic films like Avatar, Metropolis, and Jurassic Park demonstrates how innovations in special effects, sound, and imagery have shaped the industry’s growth. The paper emphasizes that these technologies not only improved film quality but also allowed for deeper connections between audiences and the stories being told, ultimately expanding the possibilities of cinematic expression. Through historical analysis, the paper reveals how each technological milestone contributed to the artistic, cultural, and economic success of the film industry.
Cauchy’s Residue Theorem and Its Application
Authors: Zheng Yitong
Published: October 2024

One of the key theorems in complex analysis, Cauchy’s Residue Theorem, which refers to the integral value of an analytic function along any simple closed contour surrounding an isolated singularity in a certain ring domain divided by 2πi, will greatly simplify the process of computing integrals on contour surrounding singularities. In the field of basic mathematics, the Cauchy’ Residue Theorem plays a key role in the integral calculation of analytic functions, nonuniform complex functions and the argument principle, which establishes a connection between a curve’s winding number and the quantity of zeros and poles inside the curve. Furthermore, Residue Theorem can combine with various subjects, including electromagnetism. This paper gives an overview of the Cauchy’s Residue Theorem and its application. Firstly, it talks about the definition and proof of the Cauchy’ Residue Theorem, along with the definition of residue. Then two examples of using Residue Theorem to integrate functions will be given. Finally, this paper involves application of Residue Theorem in trigonometric sum identities and a remark on the method.
A Study on ChatGPT Film and Television Subtitle Translation from the Perspective of Three-Dimensional Transformation---Take The Story of Minglan for example
Authors: Meng Jiayi
Published: October 2024

Based on the theory of Eco-translatology, this article conducts a study on the subtitle translation of the overseas version of the TV drama The Story of Minglan from the perspective of “three-dimensional transformation,” focusing on the translation generated by ChatGPT, and comparing them with Google Translation, Baidu Translation, and DeepL Translation, aiming to evaluate the effectiveness of ChatGPT in subtitle translation for films and television shows. Firstly, this research employs a quantitative analysis method by using two automatic assessment metrics, BLEU and TER, in order to quantify translation quality. Furthermore, case study and qualitative analysis methods are used to compare and analyze the differences in accuracy, linguistic fluency, and cultural adaptability between the YouTube subtitles of the overseas version of The Story of Minglan and the translation generated by ChatGPT from the perspectives of language, culture, and communication. The results indicate that while ChatGPT translations exhibit some readability, the model still shows limitations in handling ideological issues, cultural transmission, emotional capture, and translation accuracy.
Elucidation of the Pharmacological Development and Action Mechanism of Remdesivir and Paxlovid in Combatting COVID-19
Authors: Yang Zhuotao
Published: October 2024

COVID-19, the disease identified in 2019 as coronavirus disease, stems from an infection by severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, which possesses a single-stranded RNA genome. Since the onset of the pandemic attributed to COVID-19, a variety of vaccines and antiviral medications have received approval from international regulatory bodies. Two notable antiviral agents, remdesivir and paxlovid, serve as treatments for viral infections. Initially developed to combat Ebola, remdesivir has also demonstrated efficacy against a broad spectrum of coronaviruses (CoV). It is a nucleoside analogue and functions by being incorporated into the RNA chain of the virus and thus induce the early termination of RNA synthesis. Paxlovid comprises two pharmacological agents, nirmatrelvir and ritonavir. The mechanism of nirmatrelvir involves the specific targeting and inhibition of the viral protease’s active site, thereby impeding the viral replication process. By inhibiting the cytochrome CYP3A4 enzyme which metabolites nirmatrelvir, ritonavir acts as a pharmacokinetic enhancer in this combination. The initial section of this review provides a comprehensive analysis of SARS-CoV-2, detailing the mechanisms of its pathogenesis and the subsequent immune responses elicited by the body. Then this article generalizes the history of development, the structure, and the mode of action of remdesivir and paxlovid.
The TRIKAFTA to treat the Cystic fibrosis
Authors: Zhao Ziye
Published: October 2024

Cystic fibrosis currently has limited treatment options. This review focuses on the therapeutic potential of TRIKAFTA for treating this disease. We have compiled data from the National Institutes of Health (NIH) and analyzed the composition and mechanism of action of TRIKAFTA. Specifically, we examine how TRIKAFTA targets the F508del mutation, a common genetic variant in cystic fibrosis that results in the deletion of three nucleotides, leading to the loss of phenylalanine at position 508 of the CFTR protein. Our findings indicate that the components of TRIKAFTA effectively address this mutation. While this review provides a general research direction, further studies are necessary to fully understand and treat cystic fibrosis.