bluuebunny/crossref_metadata_2025 huggingface dataset:
The Analysis of Factors Influencing New Energy Vehicle Stocks
Authors: Nie Shiyang , Shen Jiayi , Wang Jiaxin
Published: December 2024

With the global emphasis on environmental protection and the reduction of non-renewable energy sources, the new energy automobile industry is developing rapidly, and its stock performance has become the focus of investors’ attention. This paper mainly analyses the influencing factors of new energy automobile stocks. By combing the relevant literature and combining the international background of the new energy industry, this paper investigates that the influencing factors of new energy automobile stocks are multiple and compounded, including the macroeconomic environment, the industry development trend, the policy support as well as the enterprise’s factors. Investors should take these factors into account when investing and analyze them in conjunction with actual data to make informed decisions while paying close attention to market dynamics and adjusting their investment strategies on time. In addition, market competition, enterprise market share, and competitiveness will also affect the stock price, this paper takes the top three enterprises in China’s new energy vehicle market share in 2023 as an example, they all have strong competitiveness and profitability, and their stock prices are relatively high. This paper shows that the performance of new energy vehicle stocks is affected by a variety of factors, and these factors may change with the development of the industry.
Analysis of the Style and Philosophy of Robert Frost’s “The Road Not Taken”
Authors: Liu Jingyao
Published: December 2024

Robert Frost is one of the most prominent poets of twentieth-century American poetry, and his poetic concept, which begins in delight and ends in wisdom, is the essence of his work and a high summary of Frost’s poetic style. “The Road Not Taken”, one of Frost’s masterpieces, serves as a prime example of his poetic outlook. The creative style of this poem is primarily analyzed in this research from three perspectives: word choice, rhetorical devices, and rhyme patterns. The poem is crafted in a style that leans toward simplicity, rusticity, and sonic harmony. Concurrently, the poem encompasses a profound philosophy of life, achieving a paradoxical unity of simplicity and profundity, nature and society. By dissecting “The Road Not Taken”, one can gain insight into the background and characteristics of Frost’s poetry, as well as the poetic value of this poem. The most crucial aspect is to provoke the reader into contemplating life.
Review of power supply for wearable medical devices
Authors: Shi Leyi
Published: December 2024

Various medical equipment has been invented and used, and the power sources used to power them have improved and progressed from the traditional metal batteries to the current bio-batteries. More sophisticated equipment requires higher demands on battery structure and performance. New technologies have led to a broader range of energy sources for batteries. This paper will describe and analyze the structure of energy power sources and their characteristics from the perspective of power sources, divided into those that derive energy from external sources and those that derive energy from the body’s biochemical reactions and movements. As technology advances, the battery’s energy source will become more versatile. Initially, rigid metal batteries were unsuitable for flexible implantable devices, but research has improved the structure of metal batteries and better-sealed packaging to avoid harming the human body. It has also developed remote power supply and human chemical energy batteries. The characteristics of these batteries are designed to serve the patient better and alleviate subsequent pain, which is also the direction of development.
The Influence of Innovative Live Streaming Carrying Mode on Consumers Consumption Willingness-Taking The East Buy as an Example
Authors: Sang Qiuting
Published: December 2024

With the rapid development of the Internet and the popularization of social media, live streaming with goods has become a new type of business model, playing an increasingly important role. In the post-epidemic era, e-commerce live banding has become an important way for consumers to shop, and the number of people who watch the live broadcast is increasing, and the mode of live banding is constantly being innovated. The New Oriental Education and Technology Group through the opening of the East Buy of the successful transformation of the live room and bilingual live with goods a hit, with “knowledge and product” has become a strong force in the e-commerce session. However, East Buy has also exposed some problems behind its rapid development. Based on the above background, this study used questionnaires, interviews, and social media analysis to investigate the impact of the innovation of the live-streaming bandwagon model on consumers’ willingness to consume. The study found that knowledge-based anchors and a good cultural atmosphere in the live broadcast room have a positive image on consumers’ purchase intention. Products and their quality play a key role in the process of consumer consumption. In conclusion, the study presents recommendations and an outlook for the prospective evolution of East Buy.
Research on Practical Teaching Methods of Violin Theory and Music Therapy
Authors: Cai Zhenguo
Published: December 2024

Teaching the violin, practicing the violin effectively, and enabling people to relax/relieve stress through music are things every musician should do. To explore the role and usage of violin practice, stage style, symphony, and music therapy, this paper takes people of all ages as research objects. It uses a literature research method to analyze the content of violin teaching and music therapy. Through the findings, this article is divided into the following parts: first, violin practice, the relationship between teachers and students, individual playing styles, and a brief overview of band rehearsal/performance are found. Second, the efficacy of music therapy and how to get certified as a music therapist. Music is a kind of language, but it is higher than language, it is a kind of “feeling” like language. Music is an expression of one’s thoughts and a language used to influence the thoughts of others. Music is not so much a language as a sound that exists in everything in the world, and anyone can express their thoughts and emotions with one sound. Music is produced from the human heart and is closely related to human morality.
The Analysis of China and United States International Relations through Case Study
Authors: Lu Victor
Published: December 2024

China and United States relations have long been a focal point of global attention, with both nations—one the largest capitalist country and the other the largest socialist developing nation—exerting profound influence on world politics. This study explores the alternating patterns of cooperation and rivalry between the two countries, examining the deeper motivations behind their interactions and potential impacts on future international relations. Using case studies, it analyzes key historical events of collaboration and conflict to better understand the dynamic nature of their relationship. The research highlights the complex interplay of national interests, security concerns, and international cooperation, and concludes that the cyclical pattern of cooperation and competition may persist. To break this cycle, both nations must abandon Cold War thinking, draw lessons from history, and adopt flexible diplomacy. Both China and United States must assume greater responsibility in international affairs and support sustainable development for mutual benefit if they are to maintain a stable relationship that is essential to both nations as well as to world peace and prosperity.
Bayes Theory in Application to Medicine, Machine Learning, and Finance
Authors: Chen Shiwei
Published: December 2024

Bayes’ Theorem provides a powerful and flexible mathematical framework for updating probabilities in light of new data, making it invaluable in fields dealing with uncertainty and decision-making. The theorem enables continuous updating of beliefs based on empirical data, which has broad applicability in domains such as medicine, machine learning, and finance. This paper examines the core principles of Bayes’ Theorem and explores its real-world applications. In medical diagnostics, Bayes’ Theorem improves diagnostic accuracy by balancing test sensitivity with disease prevalence, an essential consideration in areas such as cancer screening. In machine learning, the theorem forms the foundation for the Naive Bayes classifier, widely used in spam detection and text classification tasks. Furthermore, in finance, Bayes’ Theorem facilitates dynamic risk assessment by refining market predictions in response to new data. The theorem’s recursive nature makes it indispensable for data-driven decision-making in contexts where uncertainty is prevalent, illustrating its versatility and applicability across multiple industries. Through case studies and theoretical applications, this paper highlights the critical role of Bayes’ Theorem in helping decision-makers draw more accurate conclusions based on evolving data.
Neuroinflammation Hypothesis and Alzheimer’s Disease
Authors: Wang Chuci
Published: December 2024

A serious, long-term degenerative neurological disease in humans is one definition of Alzheimer’s disease (AD). AD brain areas that are pathologically sensitive exhibit inflammation, and this inflammation carries with it all the complexity of peripheral local inflammatory responses. Degenerating tissue and the buildup of very insoluble aberrant materials are two traditional causes of peripheral inflammation. Nowadays, the inhibitors which were discovered before cannot have a good effect on the treatment to the growth of this disease. This article provides an overview of how microglia-mediated neuroinflammation affects AD, with particular attention to the pathogenic process of microglia, and the potential and recent developments in neuroinflammation as an AD diagnostic and treatment target. Therefore, even if clinical research and animal models are still in their infancy, they clearly imply that AD inflammation plays a major role in AD pathogenesis. Gaining more insight into the immunoregulatory and inflammatory mechanisms underlying AD should make it feasible to create anti-inflammatory treatments that, while probably not curative, will at least assist postpone the start or decrease the disease’s terrible course.
An investigation of the antioxidant, whitening and acne-removing effect of blueberry-rose compound ferment in cosmetic field
Authors: Wang Yihan
Published: December 2024

On account of the increasing emphasis given to appearance, the modern society is witnessing the booming market of cosmetics. Therefore, in order to cater to consumers’ demand, finding and researching for a suitable and effective cosmetic ingredient is essential. This project will evaluate the efficacy of an ingredient called ferment, which refers to the functional microbial fermentation products. Owning to its abundant nutrients, ferment is expected to have very comprehensive efficacy.In this study, different proportions of blueberries and roses were mixed as raw materials, Pediococcus acidilactici and Metschnikowia pulcherrima were added for fermentation. The five types of ferment solution to be tested include (1)100% blueberry (2)70% blueberry and 30% rose (3)50% blueberry and 50% rose (4)30% blueberry and 70% rose (5)100% rose.The first efficacy of ferment to be investigated is the antioxidant activity, DPPH free radical clearance rate test will be carried out. The result of this experiment shows that all five ferment has DPPH clearance rate higher than 90%, indicating remarkable antioxidant activity. The following experiment involves testing tyrosinase inhibition rate. The result shows that all five ferment has tyrosinase inhibition rate in the range from 20% to 40%, indicating certain whitening effect. Finally, by measuring the diameter of bacterial inhibition ring, the acne-removing effect of ferment will be evaluated. The experimental result reveals that the ferment has weak effect on inhibiting Staphylococcus aureus but certain effect on inhibiting Escherichia coli.All experiments have proved that ferment is more suitable for compound fermentation, as most compound ferment shows better antioxidant and antibacterial effects than single-material ferment. Among all five types of ferment, ferment 4 (70% rose and 30% blueberry) has the most comprehensive ability, since it ranks at the top twice and the second twice in four experiments.
The Impact of Exercises on Metabolic Diseases
Authors: Liu Tingyu
Published: December 2024

Exercise has many important positive effects on metabolic diseases. These effects include improving how the body uses insulin. Exercise also helps to regulate how fats are processed in the body. Another benefit of exercise is that it lowers levels of inflammation and reduces oxidative stress. Studies have shown that doing regular exercise can lower the risk of getting type 2 diabetes. It does this by enhancing how mitochondria work in skeletal muscles. It also helps muscles take in more glucose. In addition, exercise helps to lower the amount of fat in the liver. It can also improve the liver’s resistance to insulin. This is why exercise plays an important role in preventing and treating non-alcoholic fatty liver disease (NAFLD). Moreover, exercise reduces the risk of obesity and other diseases related to it. It does this by lowering visceral fat and promoting the burning of fatty acids in fat tissue. Exercise is also helpful for protecting how the pancreas works. It can delay the decline of beta cells’ function and improve how insulin is secreted. For all these reasons, exercise is a very effective way to prevent and treat metabolic diseases without the need for drugs.
Research Progress and Potential Applications of Bacteriocins in the Food Industry
Authors: Wang Zhenghao
Published: December 2024

Bacteriocins represent a class of secondary metabolites consisting of short peptides with potent bacteriostatic activity and are derived from both Gram-positive and Gram-negative bacterial species. Currently, they are under intense scrutiny in the scientific community. Historically, limited research on bacteriocins, coupled with insufficient understanding of their toxicity signatures and mode of action, has hampered the exploration of antimicrobial resistance. However, recent breakthrough discoveries and validations related to the taxonomic, biosynthetic, and mechanistic foundations of bacteriocins have significantly advanced the development of this field, laying a solid foundation for their development in food preservation, medical, and biological applications. In this comprehensive review, the aim is to present the current status of bacteriocin sources, their different classification schemes, and the complex mechanisms that underpin their biological activity. In addition, this review provides promising avenues for the future application of bacteriocins in the food industry, the medical sector, and the biological sciences, highlighting their potential to revolutionize these fields.
Systematic Analysis on Memory Technology of It Applications and Optimization
Authors: Chen Dylan Quanhan
Published: December 2024

In the era of rapidly advancing technology, the limitations of conventional memory architectures have become a significant bottleneck in meeting the growing demands for data storage and processing. Emerging non-volatile memory technologies are increasingly closing the performance gap between traditional memory and storage solutions, driving innovations in memory cell design. This review provides an overview of conventional memory types, such as static random-access memory (SRAM), dynamic random-access memory (DRAM), and Flash memory, alongside emerging prototype memories like resistive random-access memory (RRAM), magnetoresistive random-access memory (MRAM), and phase-change memory (PCM). Emerging technology nowadays have a wide range of applications. Resistive random-access memory and spin torque transfer random access memory are the most promising memory for in-memory computing which is advanced beyond conventional von Neumann system, neuromorphic computing mimic human’s brain structure. Internet of things devices and wireless sensor devices make use of the low power consumption memory, and the security is provided by the stochasticity nature of random-access memory which is not desired and is considered as a challenge for memory cell.
Digital solution of managing complete edentulous patient: fabrication of complete denture
Authors: Xue Kunyuan
Published: December 2024

Digital technologies use high-precision three-dimensional scanning, intelligence-aided design software, and multi-axis numerical control milling or 3D printing, which can produce restorations with reliable precision and suitable function. Digital impression and CAD/CAM technology have significantly transformed prosthetic dentistry by enhancing the precision, efficiency, and overall patient experience. This paper explores the integration of these technologies, examining their impact on the accuracy of complete denture, the workflow in dental practices, and patient satisfaction. Through a review of existing literature and analysis of clinical outcomes, this study highlights the advantages and challenges associated with these digital advancements. The findings suggest that digital impression and CAD/CAM systems offer substantial benefits like better flexural strength, higher yield strength, better toughness, better color stability and less chairside time, paving the way for a more streamlined and effective approach to fabricate a complete denture. These solutions will lead a bright and promising future of complete denture in prosthodontics.
The Impact of Environmental and Biological Factors on Orca Populations and Their Conservation
Authors: Song Zhiyao
Published: December 2024

As the top predator of the ocean, the orca’s role in protecting the environment should not be underestimated. Although the protection of killer whales is not mature at this stage, with the deepening of research on killer whales, the protection measures will become more and more perfect. This paper introduces the biological characteristics of orca populations, analyzes the effects of these four factors on orcas from dietary habits, reproductive habits, migration and the environment, as well as the relationship between human beings and orcas, and the results of the research are those orcas are most affected by the marine environment, reproductive habits are the second, and the dietary habits are mainly affected by the marine environment, so the best way to protect the orcas is to reduce the effects of marine pollution on their food sources, such as salmon’s heavy metal overload. This paper mainly give attention and protection to the neglected marine predator populations to monitor the development of the marine ecosystem better. There are still questions about the nutritional value of orca food and orca hunger tolerance that still need to be addressed, and future research could focus on the nutritional value that orcas receive and the direction of how to balance the relationship between humans and orcas.
EEG Feature Extraction and Classification of SSVEP
Authors: Wang Zihan , Zou Wenxuan , Zhang Yunxin
Published: December 2024

As an innovative communication method, brain-computer interface (BCI) can directly convert human brain activity into control signals, which is of great significance in improving the quality of life of people with disabilities. In this paper, the application of steady-state visual evoked potential (SSVEP) in BCI is discussed, and the feature extraction and classification methods of EEG signals are studied. Feature extraction of EEG signals was performed by preprocessing them using the EEGLAB toolbox and classification using support vector machine (SVM) to identify different patterns of EEG activity. The experimental results show that this feature extraction and classification method significantly improves the performance of BCI system. Future research can further optimize the feature extraction algorithm and improve the visual stimulation paradigm to improve the recognition accuracy and practicality of the system. Additionally, integrating advanced machine learning techniques such as deep learning and transfer learning could potentially enhance the system’s ability to adapt to individual users and generalize across different tasks, thereby increasing the robustness and versatility of the BCI system in real-world applications.
The Use of Singing Bowl Music Therapy in High School Psychoeducation
Authors: Zhao Shiwen
Published: December 2024

The mental health of students in senior secondary schools has received widespread attention. Under the influence of the college entrance examination system, students’ learning tasks are increasing, with more courses and a corresponding increase in learning pressure. However, the practice methods in high school psychological classrooms are still insufficient. This paper analyzes the practical application of chanting mantle music therapy in high school psychological education, applying the chanting mantle to the practice of music therapy, utilizing its dual role of audio vibration for both the body and the psyche, and exerting the function of music therapy to alleviate the psychological problems of high school students. This paper analyzes and concludes that the application of chanting bowl music therapy in high school mental health education courses is of great significance to the overall promotion of the development of student’s mental health, which can help students better understand themselves, enhance creativity and imagination, and promote harmonious interpersonal relationships.
Analyzing the Translation Differences Between Official and Unofficial Subtitles of “Lady Bird” from a Feminist Translation Perspective
Authors: Tao Danning
Published: December 2024

With the development of cross-cultural communication, film subtitle translation has emerged not only as a tool for linguistic conversion but also as an important medium for cultural dissemination. The application of feminist perspectives in subtitle translation has gradually gained attention. “Lady bird”, as a feminist film, tells the coming-of-age story of a young girl named Christine. This paper uses feminist translation theory as a framework to comparatively analyze the official and unofficial Chinese subtitles of the film, Examining the influence of gender views on subtitle translation. The research examines the three primary feminist translation tactics suggested by Flotow and explores the impact of the translator’s gender identification on translating choices. The results indicate that feminist translation strategies can reinforce feminist ideas in subtitles and promote gender equality in film translation practices. This research provides a new perspective for gender studies in film translation.
CPUs and GPUs in Smart Home Devices: Performance, Applications, and Future Directions
Authors: Zheng Ziqi
Published: December 2024

This paper explores the performance and applications of central processing units (CPUs) and graphics processing units (GPUs) in smart home devices. It delves into the background and trends of smart home evolution, highlighting the applied technologies and the roles of CPU and GPU. The literature review presents advancements in CPU and GPU technologies for smart home devices, including their developments in home data processing, image recognition, and device interconnection. The methodology section discusses the architecture design of CPU and GPU in smart home devices, emphasizing multi-core design, parallel processing, and cache optimization. The applications of CPUs and GPUs are examined in smart home appliances and home entertainment systems, including their roles in device control, energy efficiency management, intelligent operation interfaces, 4K video processing, game graphics rendering, and intelligent recommendation systems. The experiment evaluates the performance of CPUs and GPUs in smart home devices through a simulated home environment and specific performance indicators. Finally, the conclusion emphasizes the importance of high-performance computing chips in smart home devices. It suggests future research directions, including optimizing performance, integrating AI technology, and developing new computing chips.
Research on Problem Analysis and Optimization Strategy of Social Media Targeted Marketing in the Skin Care Industry
Authors: Teng Airui
Published: December 2024

The skincare industry continues to flourish as skincare has become an essential part of daily life for consumers. This trend is expected to persist, with consumption in the industry projected to grow steadily in the future. The rapid advancement of information technology has significantly influenced how the skincare industry operates, particularly in its use of social media to elevate brand and product visibility through various innovative marketing strategies. This paper explores the primary social media marketing methods employed in the skincare industry, delving into the strengths and weaknesses of each approach. It also offers recommendations for enhancing marketing efficiency and reducing publicity costs. The study emphasizes the importance of selecting marketing strategies that align with a company’s budget, target audience, and prevailing market conditions. Additionally, it advocates for the use of data analysis to refine and optimize advertising campaigns, ensuring they effectively bolster brand reputation and consumer engagement. By focusing on the quality and authenticity of advertising content, as well as fostering meaningful interactions with consumers, skincare brands can distinguish themselves in a highly competitive market. This approach not only helps brands achieve immediate marketing goals but also paves the way for sustained long-term success in the industry.
Advancements and Applications of Hardware Adders: Principles, Functions, and Future Challenges
Authors: Wu Ruoqi
Published: December 2024

This paper reviews the principles and applications of various types of adders, including Half Adder, Full Adder, Ripple-Carry Adder (RCA), Lookahead Carry Adder (LCA), Carry-Bypass Adder (CBA), and Carry Select Adder (CSA). The basic logic of each adder type is analyzed, emphasizing their performance characteristics, such as area, power consumption, and delay. Applications of adders in fields like image processing, portable electronics, and medical data encryption are discussed, highlighting how different types of adders are tailored to specific performance requirements. Approximate Full Adders (AFA) and low-power, high-speed adders are introduced as solutions for energy-efficient image processing and portable electronic applications, respectively. Challenges in reducing power consumption and improving approximate computing accuracy are addressed, with a focus on novel design approaches such as powerless AND gates, groundless OR gates, and error detection and correction methods. Future expectations for adder optimization are explored, including trends in power reduction, computing efficiency, and improved performance for various application scenarios.
Achieve a Rapid Breakthrough for Emerging Chinese Local Brands—Take Adopt a Cow for Example
Authors: Xiao Minjian
Published: December 2024

In the Chinese dairy industry market, emerging brands Adopt a cow and start to show their prominence, Successfully achieved a breakthrough in the Red Sea Market of dairy products. Its unique branding, marketing strategy, and digital transformation have given it a significant advantage in a highly competitive market. This article focuses on the marketing strategy behind the brand’s success and provides an in-depth analysis of its business model innovation. By differentiating itself, Adopt a Cow successfully attracts consumer attention and successfully markets its own product. In terms of marketing strategy, the brand skillfully uses storytelling and the concept of “adoption” as the starting point to arouse consumers’ consumption emotions and let the story gradually penetrate into the hearts of consumers. At the same time, combined with social media marketing, it can achieve in-depth interaction with consumers. In terms of digital transformation, Adopt a Cow uses Internet technology to create an online adoption platform, allowing consumers to participate in the entire process of dairy cow raising, care, and dairy production, enhancing consumer stickiness. It has also built a large-scale digital and intelligent chemical factory to strictly control product quality.
Analysis of SpaceX Starlink Non-Market Issues in Africa
Authors: Xu Chenxi
Published: December 2024

Satellites have supported us for half a century, and the rapid advancement of technology has led to a massive increase in the use of technological devices worldwide. The use of technology requires fast and high-quality networks to sustain the five trillion gigabytes of data transferred through the internet everyday. SpaceX Starlink started its launching of satellites in the hope of global expansion one day in the satellite telecommunication industry. Yet, Starlink is currently facing two major non-market issues in multiple regions of Africa, which sets a massive barrier between Starlink and its ultimate goal. This paper assembles and analyzes numerous scholarly articles from diverse perspectives to decipher a feasible solution to encourage and promote Starlink in complying with the two non-market issues in Africa. The two non-market issues are security concerns from the African government and the lack of engagement from underdeveloped countries. The solution found to best accommodate the first issue is to negotiate with African governments to find a middle ground, and the resolution for the second issue is to introduce opportunities for underdeveloped countries in Africa to access education, digital economics innovations, and advanced technologies.
How Virtual Life Affects Women’s Status: Taking Otome Games in China as the Entry Point
Authors: Wu Xinqi
Published: December 2024

The number of individuals who play otome games has increased dramatically in recent years. Therefore, the number of otome games is also large. Companies have been creating many interesting types of otome games for female or male gamers to choose from. Due to many people cannot feel of being needed or some more complicated reasons int the real world, they choose to play otome games instead of having real life social with real friends. This essay is going to explore why some people prefer to spend more time in playing otome games rather than having more time in real life is happening by using case analysis method from woman’s point of view, which leads to more complex social problems. This essay is going to be divided into three parts. After introduction part, the first part is going to talk about otome game history. The second part is going to talk about why otome games popular in China and how does it relate with government policies and inequality between male and female. After that, the last part is going to talk about how this situation will be reduced.
Evaluating Implementation of Functional Connectivity on Brain Computer Interface to Assist Depression Recovery
Authors: Liang Chenrui
Published: December 2024

Brain computer interface (BCI) has experienced exceptional development through past scientific studies. Yet it possesses few practical methods of assisting the treatment of major depressive disorder (MDD) patients or individuals suffering from depression. This paper evaluates the feasibility of BCI-related technology providing assistance for efficient countermeasures for MDD and general depression with the combination of the functional connectivity (FC) concept. Three correlated works are included for evaluation: A six-month BCI-guided training therapy of robotic hand program, an evaluation of BCI integrated systems implemented with noninvasive MDD recovery methods, and a deep learning model of detecting depression with electroencephalography (EEG) signals calculated from FC matrices. The robotic hand therapy indicates the contribution of EEG obtained by BCI for assessing the FC of subjects. The utilization of BCI systems has presented a success in completing the neuromodulation process, especially in repetitive transcranial magnetic stimulation (rTMS) and magnetic seizure therapy (MST) methods. Signal graphs used in FC matrices when detecting depression were established by the combination of different EEG signal bands, demonstrating a possibility of BCI coping with FC in disposing of depression treatment. This study suggests a potential approach for the practical application of BCI technology along with FC as an important assessment criterion when confronting MDD therapies and depression countermeasures. The evaluation results may contribute to further clinical practice and assistance in correlated studies on depression-related disorders.
Progress in photocatalytic reduction of CO2 to CO by MOF materials
Authors: Yu Zhengqi
Published: December 2024

By harnessing the power of photocatalysis, there is a promising pathway to develop sustainable carbon cycles, which can significantly reduce our reliance on fossil fuels and advance the goal of sustainable energy development. MOFs, with their ordered porous structures, have shown tremendous potential in photocatalytic CO2 reduction. These materials are characterized by their excellent structural tunability, large surface areas, and outstanding CO2 capture capabilities, making them ideal candidates for photocatalytic reactions. In the context of CO2 reduction, the photocatalytic performance of MOFs is critically influenced by their light absorption properties, material design, and CO2 capture efficiency. In recent years, researchers have made significant progress in exploring and developing MOF materials specifically for reducing CO2 to carbon monoxide (CO). This paper reviews some of the most representative MOF materials in this domain, discussing their performance, advantages, and the challenges they face in practical applications. By synthesizing these research outcomes, we can gain a deeper understanding of the operational mechanisms of MOFs, providing valuable insights and guidance for future research directions.
The Evolution of Influencer Marketing: The Role of Authenticity and Strategic Planning in Building Brand Relationships Online
Authors: Feng Yuxuan
Published: December 2024

Online influencer marketing (OIM) is a digital strategy where social media influencers promote products or brands to specific audiences. It has evolved from simple endorsements to sophisticated collaborations involving sponsored content, product placement, and influencer-generated material, facilitated by platforms like Instagram, YouTube, and TikTok. Brands utilize influencers to engage their target audiences, prioritizing authenticity and trust. Influencers range from celebrities to micro- and nano-influencers, offering diverse strategic options. This study examines the crucial role of authenticity in brand-consumer connections within OIM, exploring how content generation and transparency affect consumer perceptions and trust through electronic word-of-mouth (eWOM). A direct correlation exists between brand trust, marketing efficacy, and the disclosure of sponsored content and influencer authenticity. The article proposes a four-step methodology for effective OIM campaigns: planning, identifying, matching, and incentivizing, highlighting the need to prioritize conversion and brand loyalty over vanity metrics. Challenges like influencer fraud and shifting social platform algorithms can hinder OIM’s effectiveness, necessitating rigorous authenticity verification and adaptive strategies. Despite technological advancements, authenticity remains central to OIM. The study provides strategic insights for brands pursuing long-term influencer partnerships, emphasizing the importance of building lasting emotional connections with consumers through authenticity.
The Impact of Climate Risk Perception Bias on Corporate Investment Efficiency: Evidence from China
Authors: Chen Siyu
Published: December 2024

As a long-term systematic risk factor that affects corporate earnings, climate risk profoundly impacts corporate behavior and decision-making. By making reasonable judgments about climate risk and adopting corresponding countermeasures, companies can mitigate inefficient investments resulting from biased perceptions of climate risk. This study analyzes the impact of climate-related perception bias on inefficient investment decisions among A-share listed companies in China from 2011 to 2023. The results demonstrate that biased perceptions of climate risk significantly increase business investment inefficiency; specifically, a greater degree of climate risk perception bias in a company correlates with a higher level of inefficient investment. The research fills the gap between climate risk perception and investment efficiency, providing valuable insights for policymakers and senior company management.
Internationalization Trends, Investment Strategies, and Risk Management for Financial Products in the Financial Market
Authors: Bi Ziheng
Published: December 2024

Over the last few decades, the global financial market has seen substantial changes as a result of technical breakthroughs, regulatory reforms, geopolitical issues, and increased global economic interconnection. Internationalization, defined as the process of increasing firms’ participation in worldwide markets, has become an important component of today’s financial markets. Along with internationalization, the development of investment strategies and the integration of sophisticated risk management systems have all played important roles in changing the dynamics of the financial markets. This essay investigates internationalization tendencies, the evolution and diversification of investment strategies, and the critical function of risk management in the context of financial products in today’s globalized financial markets.
A Comparative Analysis of Bai Xianyong’s Garden Tour, Startling Dream, and Tang Xianzu’s The Peony Pavilion
Authors: He Feifei
Published: December 2024

Bai Xianyong confessed that the creation of Garden Tour, Startling Dream is inseparable from The Peony Pavilion. However, very few scholars have compared and contrasted the two. Therefore, this paper tries to compare and analyze the two from the perspectives of narrative and theme. The purpose is to explore the success of Garden Tour, Startling Dream in becoming a modern presentation of the play The Peony Pavilion. From the narrative level, Garden Tour, Startling Dream has similarities and differences with The Peony Pavilion. Moreover, Bai modernizes its creative techniques by incorporating stream-of-consciousness techniques. From the level of theme, Bai Xianyong explains the theme that life is like a dream in the modern context. Bai also pursues the loss and pursuit of the decline of Kunqu at a deeper level. This paper explores the creative mechanism of Garden Tour, Startling Dream, and the intrinsic connection between the two, to fill the gaps in the corresponding fields.
Exploring the Influence of the Implicit “Social Clock” in Daily Language on the Perspectives of Romantic Love and Marriage among Teenagers Aged 12-18 — Taking Zhejiang and Shanghai as a Regional Example
Authors: Li Yunheng
Published: December 2024

For adolescents facing a critical stage of major life choices and social identity change, everyday language that implies a social clock has a profound impact. Meanwhile, the researcher finds that teenagers around his life have all already heard about daily corpus like “leftover women and men”, though they are not leftover women or men. Hence, the researcher put forth effort on specific influence of the implicit social clock in the daily language of marriage and romantic love domain for 12-18 years old adolescents. This study used a questionnaire research method and interview research method. A total of 233 questionnaires and 29 in-depth interviews with adolescents aged 12-18 and their families in Zhejiang and Shanghai were analyzed. Based on previous research centered on the expectations of the social clock hidden in everyday language, the study concludes that the everyday language in marriage and romantic relationships has a profound psychological impact on adolescents, including limited self-consciousness limitation and intimacy stereotyping.
A Survey and Analysis of Youth Unemployment Rate in China
Authors: Qiu Yanxiang
Published: December 2024

With the continuous restructuring of China’s industrial structure since the reform and opening up, China’s youth unemployment rate has shown a rapid growth trend in recent years, and the Chinese government has ceased to officially publish this data as of June 2023. Through the analysis of the data, it is found that the continuous rapid growth of unemployment rate in China in recent years is caused by a number of factors such as China’s economic transformation, imbalance between supply and demand in the labor market, epidemics, and brain drain. Among these reasons, the difficulty of young people with low educational attainment in finding suitable jobs should be the direct cause of the increase in unemployment, while the imbalance between supply and demand in the labour market should be the root cause. Combined with the analysis of data and special cases, the author predicts that China’s youth unemployment rate will continue to rise in the next five years, and at the same time puts forward a number of feasible solutions to solve the problem from different perspectives.
Research of Memory Cells and Their Applications
Authors: Cheng Pok Chung Ryan
Published: December 2024

In our rapidly evolving world saturated with technology, the demand for superior and more efficient memory cells is increasingly crucial to fuel further technological advancements. As artificial intelligence and cutting-edge technologies become a reality, enhancing the quality of memory cells embedded in our machines and devices is paramount. This report will explore the future of memory cells and provide an overview of their current state. The primary focus of this paper will be on the present state of memory cells, including the various types that exist, explaining the fundamental principles behind them, and delving into the new technologies our society will possess and utilize in the future. During my research, this paper discovered several promising developments for the future of memory cells, such as NAND technology and Solid-State Drives (SSDs). The progression of storage technology is critical in supporting emerging technologies like big data, cloud computing, and the Internet of Things. As data volumes grow exponentially, this paper requires faster, more reliable, and energy-efficient storage solutions. Innovative concepts like quantum storage and DNA storage are also being researched, potentially revolutionizing how this paper store and access information. Moreover, advancements in storage technology will impact fields such as mobile devices, wearable technology, and autonomous vehicles. More efficient memory cells will enable these devices to handle more complex tasks and provide richer user experiences. Overall, the future of storage technology is promising and will continue to drive technological innovation and societal progress.
The Impact of the Issuance of CBDC on Monetary Policy——From the Perspective of Narrow Monetary Multiplier
Authors: Wu Fanzhou
Published: December 2024

With the fast development of global financial technology, the central bank digital currency (CBDC) has gradually become a new direction for countries to explore. As a digital shape of legal currency, CBDC not only helps to enhance payment system efficiency, but also brings new changes to engaging in the digital era. China shows the importance of CBDC in the monetary system by introducing digital RMB (e-CNY) and incorporating it into M0 statistics. However, the appearance of CBDC has generated many impacts to the traditional currency system, especially in terms of money supply mechanism, liquidity management of commercial banks and financial stability. Through theoretical analysis and empirical research, this paper discusses the influence of CBDC on narrow monetary multipliers. This paper found that the increase in the liquidity of CBDC has a certain inhibitory effect on the narrow monetary multiplier, and the market share of digital currency payment has significantly affected the change of the monetary multiplier. In addition, the short-term impact effect is relatively obvious, but it tends to decline in the long term. This paper provides a new perspective for understanding the possible effects of CBDC on monetary policy, and also points out the risks and challenges that need attention in future policy formulation.
User Experience Design of Mobile Medical Applications
Authors: Zhang Jiayi
Published: December 2024

With the advancement of technology and the widespread adoption of smartphones, mobile health applications have emerged as a significant tool for enhancing the quality and accessibility of healthcare services. These applications enable users to conveniently access health information, monitor their health status, and interact with healthcare professionals. However, alongside their rapid development, these applications face a series of challenges, including privacy protection, the rationality of user interface design, and integration with existing medical systems. This paper first outlines the fundamental principles of mobile health application design and discusses the current state of their development. It further explores the notable advantages in improving healthcare efficiency, convenience, and personalization, while also highlighting the inflexibilities and issues related to collaboration with hospitals. Ultimately, this study summarizes the comprehensive discussion, and aims to contribute to the advancement and development of mobile health technologies, thereby more effectively addressing public health needs.
Markov Chain Monte Carlo Method and its Application
Authors: Li Jiawen
Published: December 2024

Markov Chain Monte Carlo (MCMC) methods combine the probabilistic framework of Markov chains with Monte Carlo sampling to address complex, high-dimensional systems. Markov chains model systems with memoryless transitions, while Monte Carlo methods use random sampling to approximate intricate distributions. Together, these methods offer powerful tools for a range of applications. In particle technology, MCMC models separate processes like mixing, grinding, and classification, allowing engineers to optimize designs and predict system behaviors. MCMC also plays a critical role in Bayesian inference by facilitating sampling from complex posterior distributions. Algorithms such as Metropolis-Hastings and Gibbs sampling enable MCMC to approximate these distributions, making it indispensable for parameter estimation in statistical modeling. This paper explores MCMC’s foundations, its operational principles, and its applications in particle technology and Bayesian inference. MCMC’s adaptability and precision make it essential in both engineering and data science, where it continues to advance the study and management of complex probabilistic systems.