bluuebunny/crossref_metadata_2025 huggingface dataset:
Research Review on the Education Management of International Students in the Context of the New Era
Authors: Wang Zihan
Published: December 2024

As globalization deepens and the Belt and Road Initiative advances, the management of international student education has emerged as an essential element of China’s educational openness in the contemporary era. International students in China serve not only as bridges for spreading Chinese culture and enhancing global understanding and friendship, but also as vital human resources that promote China to win global recognition. This article seeks to thoroughly examine the existing body of research concerning the educational administration of international students within the framework of contemporary developments through a comprehensive literature review. The objective is to deliver scholarly support and actionable strategies for overseeing the education of international students.
Comprehensive Review of the Four Stimulation Modes in Spinal Cord Stimulation (SCS) Therapy
Authors: Liu Meixin
Published: December 2024

Chronic pain is a global health problem with a significant patient and socioeconomic burden. The technology of spinal cord stimulation (SCS), an efficient strategy for managing persistent pain, has undergone significant development in the previous couple of decades. The purpose of this paper is to review the development of SCS techniques, compare the efficacy of different SCS modalities, and explore future research directions. The article reviewed the development of SCS, including traditional tonic SCS, high-frequency SCS, burst SCS, and closed-loop SCS. Clinical trial and research data analysis were used to assess the safety and effectiveness of the different SCS modalities in the treatment of chronic pain. The study showed that high-frequency SCS and burst SCS were effective in relieving pain without producing paresthesia compared with conventional SCS. Closed-loop SCS provides a more personalized treatment plan by modulating stimulation through real-time feedback. However, the application of SCS still faces technical challenges, such as electrode displacement and equipment malfunction. SCS technology shows great potential in chronic pain management. With technological advances, SCS is expected to provide more effective and personalized treatment options for chronic pain patients. Subsequent investigations ought to concentrate on enhancing device stability, mitigating issues, and investigating astute and customized therapeutic alternatives.
The Sinicization of Buddhism and Water-Moon Guanyin
Authors: Yang Wenjing
Published: December 2024

Since its introduction to China in the first century A.D., Buddhism has gradually developed into an important part of Chinese culture and religion. In the process, Buddhism has continuously combined with local culture, detached itself from the original teachings, and localized to form new content. Among them, Guanyin worship has a critical status in China, not only as a part of Buddhist beliefs but also deeply integrated into Chinese culture and folklore. Guanyin, also known as Avalokitesvara, is worshiped and admired by the Chinese for salvation and compassion. Water-Moon Guanyin, a specific image of Guanyin, is usually depicted as sitting on a rock or lotus flower with water reflecting the moon beside her, reflecting the purity and transcendence of Guanyin’s image. This paper will explore the origin of the image of Water-Moon Guanyin through the primitive Buddhist scriptures and focuses on the mural paintings of Guanyin in the Yulin Caves and the sculptures of Guanyin in the Nelson-Atkins Museum in the U.S., providing multi-dimensional perspectives. It also makes connections between the Buddhist philosophical thinking behind Water-Moon Guanyin and local Chinese Daoist thinking. It is concluded that the Water-Moon Guanyin was enriched in China as a manifestation of the Sinicization of Buddhism.
Energy Optimization in the Smart Home
Authors: Liu Xingyu
Published: December 2024

With the continuous progress of science and technology, smart home has gradually become a new trend in contemporary families. Energy optimization is increasingly used in smart homes. As a cutting-edge field of scientific and technological development, smart home provides new ways and opportunities for energy optimization. Smart home systems monitor environmental data such as temperature and light in real time through sensors to achieve intelligent management of energy. The application of energy optimization in smart homes not only reduces home energy costs, but also helps to reduce carbon emissions, contributes to environmental protection, and achieves sustainable development. This paper discusses in depth the application of energy optimization in smart homes, analyzes the composition of smart home systems, energy consumption characteristics, and key technologies and strategies for energy saving, aiming to provide theoretical support and practical guidance for energy optimization in the field of smart homes. Practical examples highlight the main advantages of smart home energy optimization, including reduced energy expenditure, improved energy efficiency and reduced environmental impact. In addition, an outlook on the future sustainable development of smart home energy optimization is provided..
The Correlation between Returns and Volatility in China’s Low Altitude Economy Stock Market
Authors: Li Deer
Published: December 2024

Low altitude economy refers to a new economic form of integrated development of low altitude flight activities and their derivative industries. Currently, China’s general aviation industry is constantly developing, the drone industry remains globally leading, emerging concepts such as flying cars are frequently emerging, and downstream application scenarios are constantly increasing. Low altitude economy has become a fertile ground. This article uses the closing price data of China’s Low Altitude Economy Index, Tourism Travel Index, General Aviation Index, Drone Index, and New Energy Index from January 2015 to August 2024, and uses a multivariate dynamic conditional correlation-generalised autoregressive conditional heteroskedasticity(DCC-GARCH) model to explore the dynamic stock returns and volatility correlations between China’s low altitude economy companies and tourism travel companies, general aviation companies, drone companies, and new energy companies. By studying the correlation between the returns and volatility of the low altitude economy stock market, it can reflect the correlation between the development of the low altitude economy industry and other industries. Investors can identify risks based on this, make more informed investment allocations, and also predict the development trend of the industry. The government and regulatory agencies can also formulate and adjust relevant policies based on this to promote the healthy development of the low altitude economy industry.
Attitude Control and Trajectory Tracking of a Shipboard Quadrotor Unmanned Aerial Vehicle Based on Self-Improvement Algorithm
Authors: Lai Yukang
Published: December 2024

With the rapid development of Industry 4.0 and urbanisation around the world, computer control technology and electromechanical systems, the development of UAVs around the world has entered a period of rapid development. As UAVs enter the rapid development stage, higher requirements are placed on the precise control rate during UAV missions. Multi-rotor UAVs have been used on ships in large scale due to their easy-to-manoeuvre characteristics. However, shipboard UAVs are affected by many factors during flight, such as crosswinds, gusts and wave effects at sea. Therefore, it is necessary to optimise the robustness and safety of the control process of shipborne UAVs through self-immunity algorithms. In the research process of UAV, modern control theory has developed very rapidly, but it is difficult to be applied in practice, and there is a certain gap. The reason for this is that advanced control theory techniques require an accurate mathematical model of the controlled object.In this study, the position and attitude equations of motion of the quadrotor UAV are firstly obtained according to the rigid body mechanics, the UAV dynamics model is deduced, and for the UAV attitude control and trajectory tracking requirements, the inner loop adopts the self-immobilisation control and the outer loop adopts the PID control, and the relevant control structure is designed. Through relevant Simulink simulation and comparison with the effect of traditional PID control, the optimisation effect of the self-immunity algorithm on the control of shipborne quadrotor UAV is verified.
Analysis of Pinduoduo’s Successful Market Positioning and Marketing Strategy
Authors: Lu Yawen
Published: December 2024

The essay analyzes several strategies of Pinduoduo which is a popular shopping platform in China. Initially, the background information is illustrated with data, involving the changing of the market share, and the cost in advertisement, and its annual revenue in the past three years. Second, a STP analysis introduced the type of consumers and suppliers that Pinduoduo targets and focuses on. In the next part, three aspects of the market strategies are explained. As one of the main features of its strategy, Pinduoduo has a deep understanding of the psychology of consumers, leading to the high royalty from its buyers. Then, the result of huge spending in the advertisement significantly influenced the choices from consumers, leaving them with deep memories. Moreover, the price setting was also important in impressing the consumers, not only the low price, but also the way of Pinduoduo to present the prices. However, as the development of Pinduoduo, two problems for consumers were explored and two suggestions that related to the shortage of the product number and product reviews came up.
The Effect of Autism Degree on Children’s Verbal Communication Ability: The Mediating Role of Cognitive Function
Authors: Yuan Xueyi
Published: December 2024

The study examined how the severity of autism affects children’s verbal communication skills, especially focus on the mediating role of cognitive function. Autism spectrum disorder (ASD) is a common neurodevelopmental disorder. It often causes difficulties in not only communication but also social interactions. We invited 200 children aged 3 to 6 years from Beijing to participant in our test. And the aim is to see how the level of autism impacts children’s communication skills by influencing cognitive function. In our research, we used many standardized tools to evaluate the severity of autism, cognitive function, and verbal communication abilities. For example, we used the Childhood Autism Rating Scale (CARS), the Montreal Cognitive Assessment (MoCA), and the Language Impairment Assessment Scale for Preschool Children. There are many ways for us to collect data, such as natural observation and questionnaires. And we analyzed the data by using SPSS and Mplus 8.3 software. The results show that verbal communication skills are different in different groups, and cognitive function plays a key mediating role among them. In conclusion, cognitive function is very important in finding out the truth of how autism severity influences verbal communication. What’s more, this study aims to find out more targeted intervention strategies. In this way, educators can create more personalized teaching methods to help autistic children grow up much more healthily.
Exploring the Evolution in Gender Values in the Works of Modern Chinese Female Writers: A Comparative Study of Ling Shuhua’s “Embroidered Pillow” and Eileen Chang’s “Love in a Fallen City”
Authors: Song Sitong , Zhou Mengyan
Published: December 2024

Scholarly research on the novel collections “Embroidered Pillow” and “Love in a Fallen City” primarily focused on the portrayal of female characters and the reflection of marital perspectives, while lacking comparative studies on the changes in gender value orientations in the works of female writers from different periods. Through the comparative analysis of the two works, this study identified the evolution from the pursuit of women’s liberation under the constraints of traditional gender norms during the era of Ling Shuhua to the awakening and reshaping of gender roles in the period of Eileen Chang. It demonstrates the increasing attention paid by female writers to women’s self-space, continually moving towards a conscious gender awareness. This study explored the Evolution of gender value orientations in the works of modern Chinese female writers. This also contributes to a deeper understanding of the development trajectory of female literature and provides a literary perspective for the construction of contemporary gender equality concepts.
The Effects of Disclosing or Keeping Secretes on Close Relationships From the Perspective of Positive Psychology
Authors: Wang Yibei
Published: December 2024

The study collected data on self-representation, self-concealment, and intimacy satisfaction of 147 couples by questionnaire star and analysed it by spss software. The results showed that (1) Disclosing secrets can enhance intimacy satisfaction, and keeping secrets has no significant positive effect on enhancing intimacy satisfaction. (2) Partners are usually more willing to share personal attitudes and less willing to share privacy and interactions with the opposite sex. (3) High-satisfaction partners are more likely to share matters common to both partners in the relationship and topics related to intimacy. Low-satisfaction partners were less likely to share private topics. The study reveals the secret-sharing characteristics of high-satisfaction partners in intimate relationships.
Brand Marketing Strategy Analysis of NIO in the New Media Era
Authors: Jiang Xiran , Wang Yazhuo
Published: December 2024

In the past two decades, China’s new energy vehicle industry has developed rapidly, with production and sales trends continuously improving. This article will take the domestic new energy vehicle brand NIO as an example, focusing on how NIO optimizes and utilizes its unique brand advantages to improve marketing strategies, expand the NIO market, and break through the limitations of previous research. It analyzes how NIO uses new media operations and other innovative marketing strategies to expand its market and increase market share. This article analyzes NIO’s marketing strategy with the 4P theory and finds that NIO’s brand building is unique, making full use of new media channels for promotion, opening up the high-end market, attracting users precisely with leading battery swapping technology and vehicle manufacturing capabilities, and increasing user stickiness with humanized service experiences, meeting diverse user needs. As a result, NIO has successfully stood out in the fiercely competitive automotive market, established a unique brand image, and won widespread user recognition.
Implementation and effect evaluation of dynamic difficulty adjustment based on reinforcement learning in Multiplayer Online Battle Arena games
Authors: Zhang Jingtian
Published: December 2024

This paper explores the implementation and impact of Dynamic Difficulty Adjustment (DDA) in Multiplayer Online Battle Arena (MOBA) games using reinforcement learning algorithms. It evaluates the effectiveness of DDA in improving player experience by dynamically adjusting game difficulty based on real-time player performance data. The study conducts empirical research on League of Legends, involving players of varying skill levels and using algorithms such as DQN, PPO, A2C, SAC, and TD3. The results indicate significant improvements in player engagement, satisfaction, and retention with the application of DDA. The paper suggests further optimization strategies for DDA and discusses its long-term effects on player behavior, highlighting the potential of reinforcement learning in game design.
Limitations in Predicting Stock Prices Based on Markov Chains
Authors: Zhang Shichao
Published: December 2024

Markov chains have applications in several fields, including but not limited to physics, biology, engineering, economics, and computer science. In the field of computer science, particularly in the areas of algorithm design, it plays a role in complexity theory, network science, and artificial intelligence. In today’s chaotic and complex economic situation, this paper predicts the stock prices of real stocks based on the underlying model of Markov chains. This paper uses the basic Markov chain’s properties, and a new transfer probability vector is derived by multiplying a given initial transfer probability vector with a multi-step probability transfer matrix. The new probability transfer vector is tested to see if it is consistent with the real situation. Repeat the above steps to make multiple predictions. After the prediction results of two different stocks, the result is that the stock price prediction based on the Markov chain is difficult to have high accuracy and can have relatively good prediction results in the short term. However, as the period increases and the factors affecting the stock price increase, the prediction results show more deviations. The result can make more reference for improving the prediction of the stock price prediction model, according to the above problems to make targeted improvements or add more models, to improve the prediction accuracy.
Emotionally Driven Virtual Pet Games: User Needs and Future Trends
Authors: Wang Yaning , Zhang Yudi
Published: December 2024

With the rapid advancement of technologies such as virtual reality (VR), artificial intelligence (AI), and affective computing, coupled with evolving player demands, emotionally oriented virtual pet games have garnered significant attention in the gaming industry. Although virtual pet games have seen notable progress in realism and interactivity, there remains a research gap in how to effectively integrate technology, users, and the market. This paper primarily explores the future development of emotionally oriented virtual pet games from three perspectives: user psychology, user needs, and technological analysis. Through a literature review and case studies, the paper examines the emotional design orientation, the evolution of user needs, and the current state of technological implementation in virtual pet games. It concludes that emotionally oriented designs help establish emotional connections between users and virtual pets, meet user needs, enhance happiness, and alleviate stress. Looking ahead, technological innovations will bring new gameplay experiences, and emotional education and mental health may become focal points of research. Additionally, the perfection of legal frameworks and ethical systems is essential for safeguarding user rights. Finally, the paper summarizes and looks forward to the future prospects of the discussed topics.
Marketing Strategy Analysis of Starbucks in China’s Market
Authors: Li Haocheng
Published: December 2024

This study analyzes Starbucks in the Chinese market and provides insights into the company’s strategy based on a questionnaire survey of consumer cognition. Starbucks has successfully localized its products by launching products with Chinese characteristics, such as the “Fuman Chestnut Macchiato” launched during the Spring Festival, which resonates with local cultural sentiments. The company has also strategically expanded its presence in lower-tier cities where competition is less fierce, allowing it to capture new markets. This strategy, high brand awareness, extensive distribution network and recognized product quality have consolidated its position in China. Secondly, this study also analyzes Starbucks’ social responsibility. Starbucks launched the “GOOD GOOD” initiative to encourage environmental protection through plant-based products and sustainable materials. This is in line with its global Sustainable development Goals. The study also conducted a questionnaire survey, according to which Starbucks’ environment, variety of beverages and personalized service are its most popular features in China. The company has high brand recognition and an extensive store network, though future efforts should focus on lowering prices and offering more products suited to Chinese tastes to further improve its market position.
Different Solutions to The Driverless Car Tram Problem
Authors: Gao Ip
Published: December 2024

This review discusses the approaches taken by autonomous vehicles to resolve moral dilemmas, drawing upon a range of theories including zero-sum game theory, morality as cooperations (MAC), and deontological ethics. It also considers factors such as personality, cognitive styles, and risk sensitivity. The conclusion drawn is that each theoretical framework provides a distinct viewpoint on moral issues, underscoring the imperative for sophisticated algorithms within emergency systems to ensure ethical decision-making. This article introduces a comprehensive theoretical framework that aims to guide ethical decision-making processes and meticulously outlines a structured approach to ensure that the intricate algorithms and artificial intelligence systems governing these self-driving cars are not only technologically advanced but also deeply rooted in the moral and ethical principles that are valued by society at large. This includes proposing a set of guidelines and ethical principles that developers and policymakers should consider when designing, testing, and deploying autonomous vehicles on public roads. This paper emphasizes the importance of striking a balance between innovation and ethical responsibility, advocating for a collaborative approach that involves stakeholders from various sectors such as technology, ethics, law, and public policy.
The roles of cross-language similarity and context influencing adults’ idiom learning in their second language
Authors: Li Xuewen
Published: December 2024

This paper explores the role of cross-linguistic similarity and contextual cues in helping adults learning a second language (L2) to learn idioms. Idioms are expressions that often present challenges to L2 learners due to their non-literal and obvious meanings. This study examined how similarities between idioms in learners’ first language (L1) and L2, as well as the richness of contextual information, affect comprehension and memorization of idiomatic phrases. The results suggest that idioms with structural or semantic similarities to the learner’s L1 are easier to learn, and that contextual cues can significantly enhance comprehension, especially for unfamiliar or dissimilar idioms. These findings emphasize the importance of using cross-linguistic connections and meaningful contexts to improve idiomaticity in second language acquisition. This paper demonstrates the advantages that context and cross-linguistic similarity bring to learning, while also pointing out the limitations of the disadvantages that exist for learning idioms. The two are combined with each other to complement each other to achieve better learning outcomes. Implications for teaching practice and idiomatic pedagogy are discussed.
Research on the Development Characteristics and Current Situation of Chinese Piano Music Culture
Authors: Cui Ruohan
Published: December 2024

To explore what is characteristic of China’s development in piano music in the present era, This paper takes piano music in China as the object of study. It utilizes the literature research method to understand the history of the development of piano music in China, to grasp the current situation of piano music in China, and to think about what strategies will be used to innovate in the future. The research results show that since the piano was introduced to China, piano music has developed in China, and now it has become an important part of the world’s piano culture and art. However, peering at the problems behind its current situation, piano music still has great room for development in China. This paper hopes to provide a theoretical and practical reference for the development of Chinese music by revealing the unique artistic charm and cultural significance of Chinese piano music culture.
Interactive Design and Application Of Improving Player Immersion In VR Game
Authors: Li Yuehan
Published: December 2024

In the context of the continuous development of virtual reality technology, due to the unique immersive experience and strong interactivity of virtual reality technology, all walks of life have strengthened the research and development of innovative applications of virtual reality technology. The main purpose of this study is to explore the ideas for improvement and improvement in game interactivity design to integrate virtual reality technology. In this regard, this article briefly analyzes the practical application of virtual reality technology in the field of games and some problems existing in game design, and discusses the problems analyzed and the aspects that need to be improved. Finally, we discuss the specific ways in which games use virtual reality technology to enhance player immersion from four aspects: game character design, plot design, game task design, and scene environment design.By addressing these elements, the study aims to provide a comprehensive framework for developers seeking to create more engaging and immersive gaming experiences.
Exploring the Long-Term Impact of Coca-Cola’s Polar Bear Advertisements and the Evolution of Consumer Emotional Resonance
Authors: Xu Jiyun
Published: December 2024

Since its debut in 1993, Coca-Cola’s polar bear advertisement has become one of the brand’s most iconic symbols, widely recognized and beloved by audiences around the world. This advertisement, featuring adorable polar bears and heartwarming themes of togetherness, family, and joy, has consistently resonated with consumers on an emotional level. Over time, the polar bear advertisement has not only maintained its emotional appeal but also played a key role in strengthening brand loyalty and expanding Coca-Cola’s market share. Additionally, the advertisement has evolved to incorporate environmental messages and promote social responsibility, further enhancing its relevance in today’s socially conscious marketplace. By leveraging these themes, Coca-Cola has successfully reinforced its brand image and leadership in the market. This paper explores the long-term impact of the polar bear advertisement through surveys, interviews, literature review, and social media analysis, offering valuable insights into the power of emotional advertising in building lasting consumer relationships and driving brand success.
Bai Lusu’s Feminist in Eillen Zhang’s Love in a Fallen City
Authors: Yu Lin
Published: December 2024

Zhang Ailing is an excellent female literature writer in China. In the 1940s, she turned her attention to “women’s frustration”. She is also one of the important writers of “isolated island” literature after the fall of Shanghai. Her writing style is full of realism and unique. This paper mainly studies the new thinking female behavior of Bai Luisu in Love in a Fallen City, and reveals the initial ideological awakening of women in the old era. It found out that some women gradually become self-aware and start to think for themselves. The feminist thought embodied in Zhang Ailing’s works is the awakening of new women that she realized after seeing all kinds of women’s things in the old era, highlighting the helplessness of women in the old China. Zhang Ailing’s sympathy and enlightenment to old Chinese women and the gradual awakening of modern women are worth thinking about in the new era.
Analysis of the Path to Build a New Power System for the Guangzhou Power Grid
Authors: Qiao Yuheng
Published: December 2024

Since the beginning of the modern era, countries have begun to study how to develop without further damaging the environment. For the power industry, a new type of power system must be built to reach carbon peak and carbon neutral. The paper focuses on Guangzhou city as an example, and starts from the current situation of the power system in Guangzhou, analyses the various indicators of the power system such as the number and location of the converting stations in Guangzhou. Besides, the paper analyses the existing problems includes pressure on optimization and transformation of energy structure, low level of intelligence in smart grids and so on. The article also summarizes a variety of key technologies for building a new type of power system. In addition, the paper puts forward a brief method of building a new type of power system in Guangzhou, which provides a reference for the further development of Guangzhou City.
Analysis of the impact of visual impairment on mental disorder
Authors: Ma Yubo
Published: December 2024

Visual impairment affects a significant portion of the global population, influencing individuals’ daily activities, education, employment, and social interactions, and often contributing to psychological challenges. Mental health disorders represent a major public health concern, and individuals with visual impairments are at heightened risk of developing these conditions due to the unique difficulties they encounter. In response, governments, social organizations, and other stakeholders have recently initiated research and intervention programs aimed at elucidating the impact of visual impairment on mental health and improving psychological well-being in this population.Many studies focus on the relationship between visual impairment and mental health disorders, such as depression, post-traumatic stress disorder (PTSD), and autism spectrum disorder (ASD). The findings consistently show that individuals with visual impairments experience higher rates of mental health issues, particularly depression and PTSD. The link between visual impairment and mental health disorders is multifaceted, shaped by factors including neural processing patterns, stress responses, and social dynamics. This review underscores the need for a deeper understanding of these connections to inform the development of targeted interventions and enhance care practices, offering potential pathways to improve the mental health of individuals with visual impairments.
Exploring Homotopy and Fundamental Groups: Definitions, Examples, and Key Propositions
Authors: Chen Kerong
Published: December 2024

This article delves into key concepts in algebraic topology, specifically focusing on homotopy, contractible spaces, fundamental groups, and simply connected spaces. Definitions, examples, and key propositions of these concepts are explored, providing insights into their mathematical foundations and applications. Homotopy, describing the continuous deformation between two objects, plays a crucial role in defining homotopy groups, which serve as important invariants in algebraic topology. The fundamental group, as the first homotopy group, is instrumental in analyzing the basic shape of a topological space, capturing information about its structure, such as the presence of holes. The paper also examines contractible spaces, which can be continuously reduced to a single point, and simply connected spaces, characterized by their trivial fundamental groups. Additionally, the article addresses advanced topics in homotopy theory, including fibrations, exact sequences, and higher homotopy groups, highlighting their importance in linking topological spaces and revealing complex homotopy relationships. The study emphasizes the relevance of homotopy theory in both mathematics and broader fields, such as physics, where it aids in visualizing the universe’s structure through analogies with fiber bundles.
Why an Individual is Loyal to the Country
Authors: You Kanghyun
Published: December 2024

This paper delves into the intricate concept of national loyalty, exploring its origins, manifestations, and ethical dilemmas. It posits that national loyalty is not solely driven by emotional and patriotic impulses but is also deeply rooted in citizenship and social constructs. The study examines the psychological, cultural, and contextual factors that shape national loyalty, emphasizing the influence of patriotic feelings, national identity, and security concerns. It also addresses the ethical challenges that arise when individual rights and freedoms conflict with national interests, highlighting the tension between personal autonomy and collective responsibility. The paper underscores the importance of education in cultivating a balanced form of patriotism that respects diversity and encourages active citizenship. By analyzing these dimensions, the paper aims to provide a comprehensive understanding of national loyalty, offering insights into how it can be fostered in a way that promotes social cohesion and respects individual rights. Ultimately, the paper seeks to contribute to the broader discourse on national loyalty, providing a nuanced perspective that considers both its positive and negative implications for individuals and society.
The application and advantages of music therapy in the rehabilitation of the elderly
Authors: Liang Ruoting , Qian Lujia
Published: December 2024

Music therapy, as a multidisciplinary treatment approach emerging in recent years, addresses certain limitations of traditional drug or surgical interventions. These limitations often include overlooking mental health issues during rehabilitation or offering insufficiently personalized treatment plans. Music therapy has gained prominence in the medical rehabilitation field, particularly for its significant role in addressing both physical and psychological conditions in elderly populations. The goal of music therapy is to generate beneficial physiological and psychological effects through the unique vibrations of sound or by evoking special memories, thereby alleviating psychological disorders and enhancing overall physical and mental well-being.This review provides a comprehensive analysis of the recent research developments and theoretical advancements in music therapy. It systematically examines the impact of music therapy on elderly individuals, particularly those affected by conditions such as stroke, Parkinson’s disease, hypertension, or mental illness, and highlights its advantages over traditional rehabilitation methods. Additionally, it explores how music therapy can help address the economic pressures and societal challenges associated with population aging in the future.
Perception, Decision-making, and Technological Application Research in Blast Furnace Ironmaking Process
Authors: Wang Yuxuan
Published: December 2024

Blast furnace ironmaking a crucial segment within modern steel production, a paradigmatic “black box” model. The optimization of perception and decision-making throughout this process holds paramount significance in enhancing ironmaking efficiency. This research delves into issues such as the incapability of achieving the anticipated fuel ratio in blast furnace ironmaking, the dearth of timely feedback information during the process, and high pollution and energy consumption levels. The research findings imply that by implementing intelligent blast furnace ironmaking, preprocessing blast furnace data, optimizing sinter burden formulation, and leveraging machine learning techniques based on big data to handle the “black box” conundrum, the perception capabilities regarding the blast furnace operating status can be substantially enhanced. Consequently, this leads to optimizing the decision-making procedures, reducing energy consumption, and elevating molten iron quality. Moreover, the intelligent decision-making system grounded in artificial intelligence can effectively mitigate human intervention and augment the overall production stability under complex ironmaking operating conditions. This research proffers novel insights for the intelligent development of the blast furnace ironmaking process and is crucial for propelling the sustainable development of the steel industry.
Enhancing the Eating Experience of Anosmic Patients through AR Games
Authors: Li Jialu
Published: December 2024

Olfaction is one of the essential ways humans perceive the world, influencing not only our gustatory experiences but also playing a crucial role in emotional and memory formation. Anosmia, or the loss of the sense of smell, can lead to a diminished awareness of one’s surroundings, significantly increasing the risks in daily life. Unlike traditional olfactory training methods, this paper explores the use of Augmented Reality (AR) technology to provide a more immersive and personalized experience by visualizing odor molecules through a designed AR-based virtual game. The study aims to investigate effective approaches for enhancing the eating experience of patients with anosmia using AR technology. This multi-sensory approach intends to rebuild patients’ cognition of smells and rekindle their interest in food, thereby alleviating psychological stress. The experimental results are obtained using a quantitative method to test various metrics during the sensory compensation process through AR games, with data being recorded and analyzed.
Research on the Influencing Factors of Used Car Price in the Market
Authors: Ma Tianrun
Published: December 2024

As people are traveling longer and longer distance by now a transportation become a part of people’s life. The demand of car has been increased and many people do need cars to help them go to school, work, and purchase daily supplements. However, not everyone can afford a new car and a used car can be an option. Like people who just graduate from school or people need their own car but they cannot pay as much as the price of a new car. A used car can be cheaper and higher Cost-effectiveness to most of the customers. With many different used cars in the market, what is the best price for a used car and how can people predict the price of a used car can be a problem. This paper will mainly discus about the prediction on the used cars and the method that is used for predict used car price.
Exploring Fashion Brand Styles and Marketing Strategies
Authors: Liu Wanjie
Published: December 2024

The background of the study shows that in today’s booming fashion industry, brand style and marketing strategy have become key factors affecting the competitiveness of brands, and their importance is becoming more and more prominent. With the diversification of consumer demands and the intensification of market competition, how to build a unique brand style and formulating effective marketing strategies have become the keys to enhancing the competitiveness of fashion brands. The purpose of this paper is to explore the style construction and marketing strategy of fashion brands and to analyze the cultural, market, and consumer behavior factors behind them. It compiles relevant theories and research results for literature review; selects three famous overseas fashion brands as research objects and conducts a systematic case analysis. The success of a brand is shaped by the mutual promotion of a fashion brand’s unique style and flexible and skillful marketing strategy. At the same time, to stand out in the competitive market, fashion brands must constantly innovate their styles learn to be flexible and modify their use in marketing strategies. This not only helps to improve brand image and awareness but also enhances consumers’ brand loyalty and willingness to buy.
The Research on Discrimination Against LGBTQ Youth
Authors: Hua Wenyu
Published: December 2024

The discriminatory lifestyle of LGBTQ youth in specific situations, as well as the scenes in schools and families, deserve public attention. This article takes LGBTQ youth as the research object, uses literature research method to study the discriminatory life, school and family scenarios of LGBTQ youth in specific situations, and proposes solutions and support system construction. Through research findings, it has been found that providing professional psychological counseling and support groups, improving the educational environment, strengthening anti discrimination education, and creating a more inclusive campus culture can enable LGBTQ youth to be respected and accepted, and better integrated. Family education is also important because parents need to have a better understanding of LGBTQ youth, and families need intervention services to manage potential family conflicts and communicate effectively. At the same time, the author also hopes that society can provide more legal protection and policy support, and strengthen social propaganda and education.
Impact of Teachers’ Gender Equity Awareness on Middle School Students’ Academic Performance
Authors: Hao Yutian
Published: December 2024

The high school years are a critical period for students to build up their awareness of gender equity and refine their gender perspectives. During this period, teachers, as guides on the path of students’ development, often have an impact on their students in terms of their awareness of gender equity, which in turn affects their academic performance. Based on the analysis of questionnaires from 150 senior high school students from the first to the third year of high school in Nanjing, Jiangsu Province, the impact of teachers’ awareness of gender equity on senior high school student’s academic performance and the specific mechanisms are explored. The analysis of the data shows that in the process of the change of student’s academic performance, some teachers’ sense of gender fairness will express some gender stereotypes in the classroom and teaching through some verbal and behavioral cues, such as boys are smart but lack effort, and girls are self-disciplined but lack adaptability. In turn, these teacher realizations are reflected in student achievement through students’ perceptions of teacher support with their sense of self-efficacy.
Advanced Parity Calculation Techniques in EVENODD Coding: A Comparative Analysis of Fault Tolerance and Computational Efficiency
Authors: Wang Zijun
Published: December 2024

In today’s data-driven era, the reliability and security of data storage have attracted much attention. The rapid development of big data, cloud computing and Internet of Things technology has put forward higher requirements for the fault tolerance of data storage. Especially in critical areas such as finance and healthcare, where data integrity and recoverability are critical, data loss or corruption can have catastrophic consequences.Although traditional RAID technology improves data redundancy, its scalability, cost effectiveness and fault tolerance efficiency are limited in the face of big data challenges. Especially in large-scale data centers, RAID is difficult to balance high performance with high fault tolerance.EVENODD coding , as a new fault-tolerant technology, improves recovery efficiency through double parity check. However, the computational complexity of the second parity column (Parity2) is high, which affects the coding efficiency and resource utilization.This research focuses on optimizing the computational method of Parity2 in EVENODD encoding, aiming at improving fault tolerance and reducing complexity, providing technical support for building efficient and reliable data storage system, and ensuring data security and integrity.
Interdisciplinary Teaching Design for Music and Chinese in General High Schools: A Case Study of the People’s Music Edition of “Yangguan Sandie”
Authors: He Qijun , Wang Hanwen , Zhang Zilu
Published: December 2024

heqijun030314@ldy.edu.rsAbstract:In ancient China, the sonic harmony between poetry and music forged the unique essence of poetry. Today, the relationship between Chinese poetry and music has become a popular topic for interdisciplinary teaching. This paper, based on the concept of interdisciplinary education, explores the integration of ancient poetry into high school music classrooms. Using the example of “Yangguan Sandie”, from the ninth unit of “Music Appreciation” by the People’s Music Publishing House, this paper presents a teaching design for the music classroom. It offers new perspectives for contemporary interdisciplinary teaching, refines the existing theoretical framework, enhances the internal logic and coherence of the discipline, and provides fresh research ideas and directions for interdisciplinary education in music and language.
A Comparative Study on the Construction of China’s Image in Media Reports by China and the United States on the Beijing Winter Olympics— A Corpus-Basitical Discourse Analysis
Authors: Huang Xinrui
Published: December 2024

This study focuses on the construction of China’s image by Chinese and American media during the 2022 Beijing Winter Olympics. Utilizing a corpus-based critical discourse analysis method, this study analyses Chinese media reports and compares the differences in the construction of China’s image. The findings reveal that Chinese and American media present different images of China, with American media tending to construct a complex and negative image, while Chinese media prefer to showcase a more positive aspect of the country. This research aims to understand the national image construction in international communication, contribute to the promotion of cross-cultural exchange, and provide strategies for the effective shaping of China’s national image by Chinese media.
From Barbie: Analyzing the Interplay Between Film and Society in the Context of Feminist Thought Trend
Authors: Fan Leiming
Published: December 2024

In recent years, with the rise of feminist thought trend on the internet, audiences have been willing to buy tickets for movies with feminist themes, but it has also raised many problems. This paper will analyze the two-way interaction between film and society from the perspectives of film audience and film sociology, by comparing the audience behavior in different cultural backgrounds of China and the United States, to analyze the interaction between feminist themed movies and society.
Enhancing Object Detection in Autonomous Driving Under Extreme Conditions: A Comprehensive Study of Deep Learning Techniques
Authors: Zhao Zichen
Published: December 2024

This testimonial deals with the issue of efficiency destruction in deep learning-driven object detection models for autonomous driving systems under severe and intricate conditions. This problem is important for boosting the safety and security and dependability of autonomous driving, especially in unfavorable weather conditions and low-light conditions. The paper methodically examines numerous techniques to boost the effectiveness of object detection models in difficult atmospheres. Trick methods consist of making use of Generative Adversarial Networks (GANs) to produce artificial wet information, improving the training procedure by imitating varied wet circumstances that the model might come across in real-world conditions. By doing so, the model ends up being extra experienced at managing the aesthetic distortions triggered by hefty rainfall. Moreover, the blend of multisensor information, such as incorporating electronic camera photos with radar and LIDAR information, makes up for the restrictions of specific sensing units by supplying added spatial and range info, which is much less influenced by unfavorable climate. The introduction of spatial attention mechanisms in network styles likewise plays a substantial duty, enabling models to concentrate on one of the most pertinent locations of a picture, hence maximizing detection efficiency in complicated roadway situations. In addition, for nighttime driving, the paper discovers the application of sophisticated picture correction strategies. Using high-sensitivity cams and deep learning-based techniques for decreasing headlight glare even more adds to enhanced object detection under tough illumination conditions. The findings show that these approaches efficiently boost the toughness of object detection models in intricate settings.