bluuebunny/crossref_metadata_2025 huggingface dataset:
Generation Z's Surprise Narrative and Value Monetization: The Operation Logic and Risk of Blind Box Marketing
Authors: Cao Haitong
Published: June 2024

As fashion consumer products, blind boxes have caused a sensation among the market and Generation Z youth. It brings surprises but also doubts, risks and challenges to the market and consumers. What influences the purchase decision of a blind box? This article discusses blind box purchases for Gen Z people. Gen Z people This article discusses the limited scope of the population. Taking the classical theory of perceived value as a clue, this article narrates the surprise narrative of the blind box by combing the experience of blind box purchase. In the process of research, the authors discovered the behavioral phenomenon of blind box purchase through the one-to-one correspondence between perceived value and blind box purchase experience. The author discusses the operating logic and risks of blind boxes and responds to this question. Compared with previous articles, this paper is innovative in tracking the blind box purchase experience process and quantifying perceived value and inconsistency.
Analysis of the Success of The Netflix Korean Drama the Glory from The Perspective of Cross-cultural Communication
Authors: Wei Yuxin
Published: June 2024

Korean TV dramas have been popular in Asia since the late 20th century and continue to be widely watched in countries like Japan and China. Initially focusing on romance and idol dramas, Korean dramas have expanded their themes to include innovations inspired by Western productions, covering genres such as zombies and politics, resulting in an increasingly diverse range of content. Moreover, in recent years, collaborations between Netflix and Korean TV dramas have further enhanced Korea's cultural exports. This article will analyze the success factors of Netflix's collaboration with Korean TV dramas, focusing on aspects such as scriptwriting, audiovisual language, and marketing strategies, using the TV drama "The Glory" as a case study.
Research on the Implementation Strategies of Employee Psychological Assistance Plans from the Perspective of Corporate Culture——Taking a Certain Art Training Institution as an Example
Authors: Liu Xinyang
Published: June 2024

Based on the reform of educational structure, the demand for art training institutions is also constantly increasing. The group of teachers in art training institutions is developing and growing, and their physical and mental health issues are also receiving increasing social attention. The Employee Assistant Program (EAP) is a systematic and long-term welfare support program set up by an organization for its employees. On the basis of investigating the current situation of physical and mental stress among teachers in art training institutions and the demand for EAP services, this study designed an EAP plan for the teacher group in art training institutions and put it into practice to examine the effectiveness of EAP services, providing a reference plan for enterprises to purchase EAP services.
Subclassification of Chemical Composition of Glass Based on Principal Component Analysis and K-Means Clustering
Authors: Xie Jiaxin
Published: June 2024

Accurately carrying out the subclassification of the chemical composition of glass products is of great significance for the compositional analysis and identification of archaeological artefact samples. Firstly, this study collected the relevant data of glass composition and divided it into two groups: high potassium glass and lead-barium glass. Combined with the controlled variable method, the analysis concluded that the weathering condition of the surface of high-potassium glass artifacts has a great correlation with the decoration, while the weathering condition of the lead-barium glass artifacts has no correlation with the decoration and colour. The artefacts were divided into four categories according to the glass type and weathering condition, resulting in a law indicating the effect of weathering on chemical composition. Thus, the weathering point is predicted inversely. Then, this paper carries out a significance analysis of the various components of the two types of glass, respectively, and obtains that the F-values of silica, potassium oxide, and barium oxide are 38.28, 30.31, and 26.99, respectively, which are the most significant. Secondly, using the comprehensive determination model, the principal component analysis method was firstly adopted to obtain the greatest influence of CaO on the overall variance. Then, K-means clustering method was used, and through many iterations, it was finally concluded that: for high potassium glass, according to whether the CaO content is greater than 4 as the subclass division method; for lead-barium glass, according to whether the CaO content is greater than 3 as the subclass division method, and listed all the samples of the subclass division method, and finally verified the reasonableness of the subclass division method and the results, and verify that the model has good sensitivity.
A Financial Analysis of Apple based on its External and Internal Environment
Authors: Liu Zilin
Published: June 2024

Since its inception, Apple Inc. has been in the first rank of market size competition for many years, and it has launched various businesses and services with a large customer base, and its financial health and unique competitive advantages have also made its competitors and market researchers interested in it. Therefore, Apple's market competitiveness and financial status were studied by collecting data from the company's public information and related literature, and analyzing the data with the Porter's Five Forces model and ratio analysis. The study found that Apple is financially healthier with some risk of overvaluation. Apple's competitiveness lies in its commitment to creating its own ecosystem, increasing the emotional value of its products, and increasing the position of services in its main business. Apple is subject to international influences and technological updates, and can improve its competitiveness in the future by continuing stock incentives, increasing the emotional value of its products, and improving the accuracy of its market forecasts.
Research on Processing Quality Control Model Based on Regression Analysis
Authors: Li Linji , Li Tan , Qiu Yifeng , Shao Junze
Published: June 2024

This article mainly studies the mathematical relationship between system temperature and the quality of finished ore processing products, while the variables of raw ore parameters, processing voltage, and processing water pressure remain unchanged. By establishing daily unified production batch processing data and visually analyzing data characteristics through charts, and visualizing the interaction between different temperature systems, a multiple interaction regression analysis model based on system temperature and processing quality indicators is selected. And through goodness of fit p-value testing, interval prediction with confidence, and sensitivity analysis, the model is sensitivity optimized. An interactive effect diagram and a visual and controllable product quality control program are created for the raw ore quality, system temperature, and quality index qualification rate. The theoretical value with the highest ore processing efficiency is deduced, which can effectively improve resource utilization and yield rate in the ore processing process.
The efficiency, safety, and clinical potential of semorinemab in the treatment of Alzheimer's disease
Authors: Su Chang
Published: June 2024

Alzheimer's disease (AD) has become a global high-impact disease. Research from the last century to the present day has not revealed the underlying pathological mechanisms of its development. The most authoritative hypotheses about the cause of AD have been proposed in relation to tau and Aβ proteins. Drugs used in clinical practice today for the treatment of AD provide only relative symptomatic relief. Using tau P301L mutant mice, it was demonstrated that in AD brain structures, tau proteins form tangles that produce toxins that affect normal neuronal function. These experiments confirm the link and interaction between Aβ and tau proteins, highlighting the importance and potential of interventions targeting the aggregation of both proteins in the development of new therapeutic strategies for AD. The aim of this paper is to study a human monoclonal antibody for semorinemab, using tau P301L-Tg mice and Crab monkeys as experimental models, and to investigate the therapeutic effect of semorinemab on AD in the early stages is more significant results, and has a high safety and stability. However, semorinemab did not show significant therapeutic results in mid-stage AD clinical trials. Phase II studies of semorinemab in AD are ongoing.
Use TPB To Explain the Influential Factors of Individual’s Intention of Providing Social Support to Depressed Adolescents by Social Media
Authors: Guo Honglu , Yu Xinke
Published: June 2024

There are more and more teenagers suffering from depression nowadays. Accordingly, the authors explore and explain the factors influencing individuals’ attention of providing social support to depressed adolescents by social media, including media attention, attractive attitude, perceived behavioral control, subjective norms, and cognitive attitude. The authors use the research method of questionnaire and divide it into each factor and send to interviewees by the internet, and use the analysis method of linear regression. Finally, the authors get the result that for attractive attitude, cognitive attitude and intention, the coefficient is greater than 0.9, showing for media attention and subjective norms, the coefficient is smaller than 0.9 but greater than 0.8, for media attention and subjective norms, the coefficient is smaller than 0.9 but greater than 0.8. These show the conclusion that the media attention, attractive attitude, cognitive attitude, behavioral control perception, and subjective norms are significantly influencing the behavioral intention, and there 5 items have positive correlation between them and behavioral intention.
The Effect of Gun Policy on Sexual Assault in U.S.
Authors: Jia Yining
Published: June 2024

Existing studies show there is a relationship between guns and sexual violence against women: the inherently coercive nature of guns facilitate sexual assault and it is the weapon most frequently used in rape victimizations. Firearms are also prevalent in abusive relationships, situations that are also rife with sexual assault. Because gun policy impacts the access and presence of guns, this paper investigates and analyzes the relationship between the strength of gun policy and the rate of rape. Using data from Giffords Law Center and states’ annual crime reports, a correlation and linear regression analysis was run on Microsoft Excel. The correlation shows a positive trend between a state’s rate of rape and gun law rankings and gun law grades. This means the weaker a state’s gun laws, the higher the rate of rape, and vice versa. The regression finds that a state’s grade in gun laws has a statistically significant effect on the rate of rape. Additionally, a poor gun law grade is associated with a rape rate significantly higher than the national average. Although underlying causes are unknown, the results indicate that women would be safer in states with strong gun laws due to decreased risk of sexual assault.
The Interaction of Media and Wagner's Ring in A Modern Perspective
Authors: Wang Ziying
Published: June 2024

The research comprehensively explores the profound impact of media advancements on opera, particularly focusing on Richard Wagner's Der Ring des Nibelungen. It reveals how recording technology has revolutionized opera's accessibility and experience. This transformation has democratized the art form, extending its reach beyond elite circles to a global audience. In terms of production and promotion, the study highlights how Wagner's operas have adeptly utilized evolving media forms, ranging from print to digital platforms. This approach has significantly expanded the operas' global presence, fostered wider appreciation and facilitating cross-cultural musical exchange. Wagner's proactive promotional strategies, coupled with extensive media coverage, have played a pivotal role in this expansion. Moreover, the research delves into the influence of Wagner's operas in the realm of cinema. It illustrates how Wagner's thematic compositions and leitmotif technique have not only inspired film scores but also influenced narrative structures, showcasing the operas' cross-medium impact on cinematic arts. However, this media evolution also presents challenges. Key among these is maintaining the artistic integrity of operatic works in a fast-paced media landscape and balancing the preferences of diverse audience demographics. Additionally, the shift towards digital formats, while beneficial for accessibility, poses the risk of diminishing the immersive sensory experience traditionally associated with live opera performances. In essence, the study underscores the significant role of media advancements in reshaping the opera world, highlighting both the opportunities and challenges these changes bring to the promotion and experience of operatic works.
Effects of non-Saccharomyces Cerevisiae Hanseniaspora Uvarum on Wine Fermentation
Authors: Tang Xiaojian , He Xi , Sun Yuxia
Published: June 2024

Single strain fermentation with simple active dry yeast is easy to cause wine homogenization. Saccharomyces cerevisiue and non-saccharomyces cerevisiue mixed fermentation have different effects on wine flavor. In this study, Hanseniaspora uvarum Hu2010 isolated from wild grape juice was taken as the object, and Saccharomyces cerevisiue D254 was used for single fermentation and mixed fermentation respectively. The influence of different yeast fermentation processes on wine aroma was studied by analyzing the physical and chemical indicators such as sugar and organic acid content in the fermentation process, volatile aroma components and sensory evaluation. The results showed that the alcohol content of the three groups was similar, but the total sugar, revertose and total acid content of the wine samples inoculated with Hanseniaspora uvarum Hu2010 were significantly higher than those of the other two groups. The results of the gas chromatography-mass spectrometry analysis showed that Hanseniaspora uvarum Hu2010 could increase the content of multiple esters in the wine sample compared with D254 fermentation alone. In addition, the total acceptability of Hu2010 was comparable to that of S. cerevisiae D254 regardless of fermentation alone or mixed fermentation, but the scores of floral and fruity flavors were higher. It indicates that Hu2010 plays a positive role in wine aroma.
Application of Enzyme-Linked Immunosorbent Assay in Early Diagnosis of Cancer
Authors: Wu Mingyue
Published: June 2024

As far as the current development of the medical community is concerned, early detection is the most effective way to deal with cancer, while enzyme-linked immunosorbent assay (ELISA) has been introduced in several diagnosis area of cancer for a long time. This research summarizes the usage of ELISA in various sections from the process of cancer’s early detection and highlights its function in the process of cancer’s early detection. There are several types of ELISA, this research focuses on indirect ELISA and sandwich ELISA, representing their special abilities that assist to complete the process of diagnosis of cancer. ELISA could be applied in both the detection of biomarkers and the antigen from the tumor cells, thereby helping to easier detect the existence of cancer. Moreover, ELISA is functional in data provision, which assists the construction of graphics as well as later treatments. Since ELISA could be applied in almost every section of the early detection of cancer, the development scope of its specific performance is extremely broad. Even though several problems constantly occur, the application scope of ELISA is still steadily expanding throughout the biomedical area.
Research Into New Media Marketing Strategy in Advertising
Authors: Tang Jiayi
Published: June 2024

Since the rise of new media, new media marketing has become a popular topic. Marketing strategies of new media marketing are relatively different compared to those of traditional media. This article will take advertisement as a representative of new media marketing actions, analyze several different categories of new media advertising actions and look into the business logic behind these actions. New media marketing is special in its graphic nature, real-time interaction with consumers, personalized recommendation system and the propagation of new media information. Then the article analyses five different types of new media marketing advertising strategies: story-telling advertising, hunger marketing advertising, trend-following advertising, non-verbal language advertising and outdoor advertising. Based on the five types of advertising, this article discusses the specialties and innovative theories behind marketing actions. These new media advertising actions meet challenges in the aspects of law, recognition and aesthetic fatigue. It is suggested that the marketing managers of new media be cautious about their marketing strategies and explore the boundaries and methodologies of new media marketing.
The use of artificial intelligence in games : based on the perspective of service players and ethical principles
Authors: Zhu Yifan
Published: June 2024

With the development of the application of artificial intelligence, the development of "human-computer interaction" game has become a representative of the digital revolution in the era of intelligence. Players have divided a virtual world on the basis of the real world, so that game players can break through the limitations of the material form world in the experience. This study is based on intelligent game service players and social moral perspective to face the development of intelligent game, using the combination of qualitative analysis and quantitative analysis, from the players to participate in the game ontology, epistemology, social moral value three perspectives to explore the present situation of artificial intelligence "man-machine relationship" in the game, in order to seek game players to promote "intelligent game" reality, the development path of harmonious coexistence. The world of intelligent games reflects the new content, new development and new changes of contemporary human digital activities. We must think and analyze the nature, laws and functions of intelligent gamification, and provide suggestions and countermeasures for exploring and solving the social problems of virtual world development in artificial intelligence games.
Towards novel financial risk prediction method with machine learning model
Authors: Xiong Kaiyu
Published: June 2024

Among the multiple risks faced by enterprises, financial risk is particularly prominent in the big data environment. Serious data imbalance has become a major challenge in the analysis of corporate financial risks. Aiming at the sample imbalance problem in enterprise competitive intelligence analysis, this paper proposes an enterprise risk identification method oriented to unbalanced samples, taking credit risk prediction of financial enterprises as a starting point. The method utilizes intelligent analysis means such as feature selection, unbalanced sample balance processing and integrated learning in the field of artificial intelligence, aiming to provide a solution to the problem of enterprise risk identification in enterprise competitive intelligence under the big data environment.
Analysing How to Portray the Independence of Characters in Literary Film Adaptations with The Example of Lust and Caution
Authors: Fan Shu
Published: June 2024

This study aims to distinguish the disparities and commonalities between textual and visual characters through an exploration of the relationship between film adaptation and textual creation. Employing an indirect research approach, scrutinise the evolution of characters from the original novel, often considered as their archetypal source, and their development within the film's central narrative and character portrayal. The investigation reveals a fundamental dichotomy: in the parent novel, character trajectories stem from the author's subjective choices, whereas in the film adaptation, characters and the central plot are depicted from an objective standpoint. This observation highlights the complementary nature of textual and film narratives. Initially, textual creation relies on the foundation laid by the cinematic adaptation. However, as the film narrative matures into an independent entity, an intertextual relationship emerges between the two mediums. This interplay between text and film opens up new avenues for textual creation, enriching the creative landscape. In summary, the analysis illuminates the intricate interplay between textual and visual character development, shedding light on how each medium influences and informs the other, ultimately contributing to the evolution of storytelling.
Research on Properties and Applications of New Lightweight Aluminum Alloy Materials
Authors: Yong Yucheng
Published: June 2024

The burgeoning demands of contemporary industry have necessitated a huge shift in the selection and utilization of materials, steering focus towards those that embody enhanced properties and environmental sustainability. Lightweight aluminum alloys have emerged as frontrunners in this transition owing to their low density, high strength, ease of processing, and environmental compatibility. These attributes have propelled aluminum alloys to a position of prominence, often superseding steel as the preferred choice in various industrial domains. In the transportation sector, the merits of these alloys are particularly conspicuous. They have become instrumental in automobile manufacturing, facilitating a reduction in vehicle weight, which in turn augments fuel efficiency and bolsters endurance. This trajectory is anticipated to persist, with high-strength aluminum alloys poised to become quintessential structural materials in future automotive manufacturing endeavors. These new materials, characterized by superior strength and enhanced corrosion resistance, are expected to be crafted utilizing emergent technologies such as 3D printing, heralding a transformative era in the automotive industry. This study delineates the escalating significance of lightweight aluminum alloys in modern industry, with a special emphasis on their transformative potential in revolutionizing automotive manufacturing through advancements in material science and technology. It underscores the pivotal role these alloys are set to play in shaping a sustainable and efficient future for the automotive industry.
The Relationship Between Imperial Power and Phantom Power in The Song Dynasty from A Psychological Point of View
Authors: Wang Li
Published: June 2024

From 221 B.C., when Emperor Qin Shi Huang claimed the title of Emperor, to 1911, when the Xinhai Revolution overthrew the Qing Dynasty, the period of feudal empire in China lasted more than two thousand years. To consolidate their rule, emperors of all dynasties continued to strengthen the centralization of power and put as much power as possible into their own hands. Therefore, during the two thousand years from the Qin to the Qing Dynasty, the centralization of China’s imperial autocracy was constantly strengthening. As an essential period in China’s history, the Song Dynasty profoundly impacted the later generations of society in all aspects of politics, economy, and culture. The relationship between imperial and relative power in the Song Dynasty has been a point of endless debate among scholars of later generations. In recent years, with the continuous development of psychohistory, more historians have begun to pay attention to more internal development. This paper combines historiography and psychology, exploring the inner of the emperor himself to conclude the relationship between imperial power and relative power in the Song Dynasty.
Evolution and Trends in New Energy Technology Development
Authors: Wang Xuan
Published: June 2024

Renewable energy is of great significance in mitigating the negative impacts of traditional energy sources on the environment and easing energy tension. The purpose of this paper is to explore the development prospects of new energy sources and their impact on the earth's ecology. This paper concludes that in the global energy consumption structure, fossil energy accounts for up to 80%, while new energy accounts for only 10%. This indicates that new energy still has much room for development. Secondly, the efficiency of new energy technologies is generally higher than that of traditional energy sources. New energy technologies can generate more energy in a shorter period, thus reducing dependence on the Earth's resources. In addition, new energy technologies help reduce greenhouse gas emissions and have a relatively small impact on the earth's ecology. Overall, the research, development, and application of new energy technologies are of great significance in addressing the global energy crisis, protecting the Earth's ecology, and promoting sustainable development.
The Motivation for Losing Weight in Adolescents—Extrinsic and Intrinsic Factors
Authors: Cao Muhong
Published: June 2024

Background: Health-related study about overweight and obesity in the world has been a rapidly growing research field in the past decades. Practically, there indeed exists an increasing number of adolescents who tend to lose weight currently. Nevertheless, little has been known about their specific motivation for weight loss. Method: Based on the four major motivations of teenagers’ weight loss concluded by David Franciole Oliveira Silva, Karine Cavalcanti Maurício Sena-Evangelista, et al. in 2018, the author conducted a related literature review intended to further identify their main causes and mechanisms. Results: According to the review, besides health motivation, others are triggered by different kinds of social pressure radically. In addition, the effects and maintenance of losing weight can be shown to be stronger in adolescents who hold the desire for health as their motivation. Conclusion: The findings of this study indicate a strong relationship between social pressure and the frequency of weight loss. Thus, further study can focus on the measures of the intervention in this kind of situation, including the fields of psychology, biology, sociology, and so forth so that teenagers’ health and growth both physically and mentally can be guaranteed.
Comparison of guiding sedation level by respiratory effort versus usual care in mechanically ventilated patients: A randomized controlled trial protocol
Authors: Soipetkasem Phruet , Junhasavasdikul Detajin , Sutherasan Yuda , Morakul Sunthiti , Tharanon Vichapat , Putthipokin Krongtong , Theerawit Pongdhep
Published: June 2024

Background: Critically ill patients relying on mechanical ventilation often require excessive sedation, aiming to address asynchrony and prevent ventilator-induced lung injury (VILI). Unintentionally, there may be more suppression of respiratory efforts. It is well-established that improper respiratory efforts during mechanical ventilation can cause unfavorable outcomes.

Methods: Researchers conducted a single-center randomized control trial, parallel 2 groups (1:1 ratio), with 164 participants. One intervention group employed the optimal respiratory effort (predicted ΔPL, P0.1), and the other control group, employed usual care to guide the adjustment of sedative levels.

Hypothesis: To compare 28-day ventilator-free day (VFD) and mortality between measuring respiratory effort as opposed to usual care and adjusting sedative level during mechanical ventilation.

Conclusions: This study will evaluate the disparity in 28-day VFD and mortality between sedative level guidance by respiratory effort and usual care.

Keywords: Respiratory effort; Acute respiratory distress syndrome; Dynamic transpulmonary driving pressure swing; Sedation protocol
Research on Brand Communication Strategies in the New Media Environment
Authors: Zhang Yongkang
Published: June 2024

With the rapid development of new media technologies, especially the rise of short video platforms, brand communication strategies have undergone significant transformations. This study focuses on how short videos and the influencer ecosystem redefine the interaction between brands and consumers in the new media environment, and fundamentally affect the methods of brand communication. Through an in-depth analysis of short video platforms and the influencer ecosystem, this paper proposes various innovative brand communication strategies adapted to the new media environment. It is found that utilizing the influencer ecosystem can not only enhance the brand's market sensitivity and consumer engagement but also greatly improve the efficiency and effectiveness of brand communication through data-driven content optimization. The results of this study provide theoretical and practical guidance for brands to formulate more effective market strategies in the age of new media.
Research on the Intervention of Social Organizations in the Governance of Service Poverty for Rural Empty-nest Elderly: A Case Study of County S in Jiangxi Province
Authors: Huang Xiaoyuan
Published: June 2024

There are multiple dimensions of deficiencies in elderly care services for rural empty-nest elderly in China, necessitating the intervention of social organizations. Social organizations possess various advantages in participating in rural elderly care services, reflecting their importance and necessity in the governance of service poverty from the perspectives of governance concepts, governance subjects, and governance mechanisms. Combining the theory of collaborative governance and based on service cases of a social work agency in County S, Jiangxi Province, this study explores the collaborative mechanisms and governance effectiveness of the government, social organizations, villages, and social forces in the governance of service poverty for empty-nest elderly. It summarizes shortcomings, proposes countermeasures, and improves the multi-subject collaborative governance model for rural empty-nest elderly care services, which consists of government leadership, social organizations as operating entities, villages, volunteers, and other forces, aiming to promote the experience of the case to other underdeveloped areas.
Practical Research on the Application of Problem-Based Learning (PBL) in the Teaching of Economic History
Authors: Chen Keyue
Published: June 2024

Economic history, as a core course for undergraduates in economics, contains rich educational content. Based on this, this paper proposes the use of a problem-based learning (PBL) approach in the teaching of economic history. The method involves teachers proposing topics and questions, with students completing the tasks, thereby deepening their understanding of economic history. The results of teaching practice have shown significant effectiveness and provide a reference path for the implementation of economic history teaching, broadening the approach to curriculum implementation.
China's Green Finance Development History and Trends
Authors: Fan Zhenbin
Published: June 2024

At present, the financial sector is observing the rise of green finance as a notable field of advancement. The rapid growth of the economy is accompanied with the adverse effects of environmental pollution and the concerning pace of species loss. The rise of China's green finance in recent years has been substantial, mostly propelled by the pursuit of the "double carbon" aim. At the same time, the Chinese government strongly supports banks in developing green credit and supporting enterprises that meet green development requirements. According to the latest research data, China ranks second in the world in terms of issuance scale of green bonds. Consequently, China has emerged as a prominent global participant in the domain of green finance. The main objective of this study is to examine the historical development and current state of green finance in China, while also aiming to suggest potential strategies for its future progress and explore possibilities for international collaboration. This report presents proposals aimed at facilitating the advancement of green finance within China, with the goal of accelerating its growth domestically.
Exploring the Digital Marketing Ecosystem: A Case Study of SHEIN's Innovative Strategies
Authors: Zhang Shuhan
Published: June 2024

In recent years, the landscape of retail has been redefined by the quick development of e-commerce, with digital marketing acting as the key of success. SHEIN, recognized for its rapid growth in the online fashion industry, stands as a model of innovative digital marketing strategies. In this paper, I explore SHEINs strategies by utilizing the 4P marketing framework Product, Price, Place, and Promotion. This study uses qualitative content analysis of SHEIN's digital marketing materials, such as social media advertisements, and influencer collaborations. Based on these information on various platforms, I examine how SHEIN strategically utilize these elements to engage its target market and attract more consumers. First, I examine four aspects through 4P model one by one and analyze how they affect consumer behavior and brand awareness. Furthermore, I compare each strategy with the features of Generation Z to identify how SHEIN attract new consumers. Finally, I found that SHEIN focuses more on promotion than other three aspects, which takes preferences and behaviors of Generation Z into consider. These strategies reinforce SHEINs position in the competitive e-commerce market.
Generative AI Impact on Marketing Agency
Authors: Hu Xinran
Published: June 2024

Background: By the end of 2022, a disruptive generative AI product, ChatGPT, was launched and impressed in both the B2C and B2B business field. Among the industries impacted, sales and marketing were identified as one of the most affected by McKinsey. This article focuses on marketing agencies and individual marketers, whose core business revolves around marketing campaigns. Problem Definition: In this paper, the fundamental capabilities of generative AI and its current applications in the marketing industry have been assessed. Furthermore, by considering both macro and micro-level factors and incorporating the influence of consumer perceptions on generative AI development, conclusions have been drawn regarding the impact of generative AI on marketing agencies. Methodology/results: First, this paper summarizes amount of literature and establishes that while the concept of AI has a long history, it is still in its early stages from a technical perspective. Its impact on the marketing industry is therefore worthy to take attention. This paper's analysis includes both qualitative and quantitative aspects. The macro-market analysis using the PEST framework indicates that the development environment is complex. Consumer-side surveys show that consumers' open attitudes are driving choices made by marketing agency clients. Ultimately, conclusions are drawn regarding the extent of the impact of generative AI products on marketers.
Analysis for Export Trade of Steel Market Environment
Authors: Chen Zhuoyan
Published: June 2024

Nowadays, companies in the Chinese steel market are in the face of difficulties because of certain policies and the special environment in this market. The policy that makes a huge difference in the market is the cancellation of export rebates. This essay will analyze the impact of this new policy and the environment of this market using the PEST model. The essay exemplifies a company called Jinan Haofeng Import & Export Co., Ltd. in the market to do such analysis. With the analysis of this company, the problem that led the company to such a difficult situation will be found out and solved. The last part of the essay will show the solution to this problem by using competitive strategies, including differentiation, overall cost leadership, and focus strategies. The analysis can help to exclude the differentiation and the overall cost leadership strategies because of the economic and political factors in the PEST model. The focus strategy can help solve the problem. The company needs to stay focused on advancing the technology for producing the steel coil. In this way, the company can stay at its break-even point instead of shutting down in the long run.
NIKE: Word of Mouth Marketing for Brands
Authors: Lin Zixin
Published: June 2024

The purpose of this article is to discover why businesses can be expand by word of mouth. We shall use Nike as an example to address that question since it is the most successful sportswear brand in the world. Any subsequent results are dependent on the study of its market. Following that, we must determine what distinguishes Nike from other companies and why Nike was chosen for the role. Comprehensive and detailed analyses are provided to show its situation and figure out some threats and opportunities that Nike may encounter. In additional, we will reveal the critical function of its logo, the 'swoosh,' and cumulative brand culture were in making the brand distinctive and recognizable throughout the process. By analysing all these, the conduit of being spread through word of mouth for businesses will be clearer and more understandable and we can know the key of word of mouth branding.
Unraveling the Trajectory of Data Science Salaries in the United States: A Comprehensive Analysis from 2020 to 2023 with Future Salary Projections
Authors: Chen Jiayong , Song Zhengbin , Lam Ching Hoi
Published: June 2024

The purpose of this study is to analyze the impact of different positions, levels of expertise and company size on salary levels in the field of data science and to make salary projections for data science professionals in 2024. This research project can help data science professionals to understand what are the important factors that affect salary levels and to understand the salary environment and trends in the data science field in 2024. With the explosive growth of big data, the oversupply of data science jobs and the precise hiring needs have led to significant changes in the salaries of data science related careers from year to year. Data is thoroughly cleaned and preprocess sed to maintain data quality and consistency, including handling missing values and removing outliers. Descriptive analysis techniques were then used to understand the current state of data science salaries, calculating data such as mean, median and standard deviation. Time series modeling was used to determine how key factors affect pay levels over time. To further investigate salary trends, ARIMA was applied to visualize the evolution of data science salaries from 2020 to 2023, and then to forecast average salary levels for different positions in the data science field in 2024. In summary, the important factors affecting data science salaries and the trend of salaries for different careers in data science in 2024 are analyzed, and a detailed analysis is provided with salary as a key factor to provide valuable recommendations for data science stakeholders.
Investigating the Impact of Socio-economic Factors on Mental Health: Income, Employment, and Social Support
Authors: Nie Sicheng
Published: June 2024

Mental health is a complex issue influenced by a variety of circumstances, including economic issues like income, work, and social support. The purpose of this article is to look into the impact of economic factors on mental health outcomes, namely income, employment, and social support. The paper begins with an introduction to the topic, followed by a review of the available literature on the association between economic circumstances and mental health outcomes. The section on research gaps emphasizes the need for additional study on the long-term consequences of economic recession on people with mental health problems, as well as the influence of changes in individual and household income on mental health and well-being outcomes. The approach used to study the impact of economic factors on mental health, including the use of multiple regression models, is then described in the paper. Finally, the report provides the study's findings and examines their implications for mental health policy and practice.
Climate Risk and Its Hedging-Literature Review
Authors: Wang Jing , Gao Xinyan , Guan Xingchen , Chen Ying
Published: June 2024

Entering the 21st century, climate risks such as typhoons, droughts, floods and global warming are becoming more and more significant. This passage will first discuss the types and impacts of climate risks. Since physical and transition part coexist, the second part of this passage will discuss some of the transition effects, from energy, stock markets, to municipal bonds, by analyzing data and examples from other literature. Compared with the same type of research, we find that investors often underestimate for enterprises to the potential impact of climate change, they pay more attention to enterprise's climate risk management practices and the ESG factors related proportion in the investment decision-making. At the same time, this article links green bonds to climate risk, pointing out that investors tend to invest in projects with strong resilience to climate change, which provides a new perspective on the green bond market. In addition, hedging climate uncertainty is receiving increasing attention, with an introduction to the basic concepts of the two risks, hedging strategies and the integration of the management of climate risk into corporate strategies under different mechanisms.
Financial Statement Fraud Detection - Applicable of Dechow F-score in China
Authors: Zeng Leyan , Zhang Qinzi , Zhou Miaohan
Published: June 2024

This study focuses on the effectiveness of the Dechow F-SCORE model in monitoring financial fraud in the Chinese financial market. At the same time, the research also aims to thoroughly evaluate the advantages and deficiencies of the F-SCORE model. To implement research, six pairs of listed companies have been selected from different industries, and each company includes a company that has been involved in financial fraud cases and a company that has not had financial fraud. The annual report data of these companies conducted a comprehensive analysis in the vertical and horizontal directions. However, the results of the study show that when the F-SCORE model is applied to compare the financial fraud of these companies, the results are not noticeable. The results of the data analysis show that the F-SCORE model does not seem to detect financial fraud in Chinese-listed companies effectively. The conclusion of this study pointed out that the application of the F-SCORE model in Chinese listed companies is limited, and it may require more improvement and customization to adapt to the exceptional circumstances of the Chinese financial market. This also emphasizes that financial fraud monitoring involves various methods and tools to meet the needs of different regions and markets.
On Supply Chain Risk in Retail IndustryTaking Costco as an Example
Authors: Liu Zihao
Published: June 2024

With the advancement of technology and the changes of markets, supply chain has always been the lifeblood of retail companies and it becomes more and more important for the most of managers. Because of the immediacy of goods transportation, retail enterprises have always been strongly dependent on the supply chain, especially in the face of increasing customers demand. However, since the global economic downturn caused by the COVID-19 pandemic, most companies have been affected. The importance of the supply chain is reflected in the stranded goods of suppliers and the shortage of goods in supermarkets. And this situation can easily put the company under great business threat, such as Costco and Walmart. These companies have encountered with a shortage of goods during the COVID-19 pandemic when supplies were low. This paper will start from the current situation of the retail supply chain by using ESG and SWOT analysis, trying to find out the potential risks of the supply chain, and trying to put forward some suggestions for improvement.
Excellent Operations and Future Challenges for League of Legends and Its Events
Authors: Cheng Jiale
Published: June 2024

League of Legends is one of the most successful games in the world, hosting the largest and most attended events in the world and the largest number of grassroots players. Based on this, we studied why League of Legends events are so much bigger than other games, such as Honor of Kings, Counter-Strike: Global Offensive, and why its game elements and culture are so widely spread. Through the study of nearly 6 years of game videos and the intuitive feeling of the league of Legends elements in the city. We found that League of Legends events can be better and better not only due to the strong support of sponsors, but also due to the diversity of events, and the existence of the game community has greatly promoted the spread of League of Legends, but also buried the hidden danger of the deterioration of the game environment for League of Legends.
The Application of Statistical Methods in Social Media Marketing Effectiveness Evaluation
Authors: Cao Jiayin
Published: June 2024

With the popularity of social media, social media marketing has become an integral part of corporate marketing strategies. However, due to the continuous changes in social media platforms and marketing strategies, effectively evaluating the effectiveness of social media marketing activities has become a focal point of concern for businesses. Therefore, researching statistical methods and applications for evaluating the effectiveness of social media marketing is of both theoretical and practical significance. This article adopts a literature review approach to analyze relevant studies on the evaluation of social media marketing effectiveness in recent years, summarizing the current research progress and existing problems. The main research content of this article includes an analysis of social media user behavior, an evaluation of social media advertising effectiveness, an assessment of social media communication effectiveness, surveys on social media user satisfaction, and long-term tracking and analysis of social media marketing effectiveness. These research contents contribute to a better understanding of the actual effects of social media marketing activities for businesses, thereby optimizing marketing strategies and increasing marketing efficiency and return on investment. This study concludes that statistical methods and applications for evaluating the effectiveness of social media marketing are significant both theoretically and practically. Through in-depth mining and analysis of social media data, researchers can reveal the patterns behind social media marketing activities, providing decision support for businesses.