bluuebunny/crossref_metadata_2025 huggingface dataset:
Marketing Strategies for Chinese Smartphone Brands to Compete with iPhone
Authors: Chen Yifei
Published: October 2024

Chinese cell phone brands face increasing competition at home and abroad, especially from the dominance of the foreign brand iPhone. The competitive pressure on these brands has intensified against the backdrop of U.S. sanctions on Chinese mobile chips. This study examines the marketing strategies of leading Chinese brands such as Huawei, Xiaomi, and OPPO to cope with this competitive landscape. The study examines how these brands have successfully entered and expanded into overseas markets through case studies and data analysis. The findings show that these brands have adopted strategies such as catering to specific consumer needs, utilizing low prices to attract consumers with limited budgets, increasing brand awareness, and exploring new international markets. Notably, Huawei’s patriotic marketing strategy brings both benefits and risks, while OPPO’s use of brand partnerships is also a noteworthy marketing approach. The study concludes that while the iPhone maintains a stable market share and loyal fan base in China, Chinese brands must adopt a differentiation strategy to avoid direct competition with Apple. This requires focusing on unique value propositions, such as superior affordability, innovative features, or tailored marketing approaches, to secure a more diverse and resilient market position.
Retrosynthetic Pathways of Decahydrofluorene-Alkaloid Microascones B
Authors: He Wentian , Cai Yinuo
Published: October 2024

Microascones B is a compound that can be a candidate for antibacterial material and is discovered and obtained from marine-derived fungus with complex 12- or 13- membered ring structures. Since no one has provided the forward synthesis and retrosynthesis pathway, we have introduced a possible retro-synthesis pathway in this work. The retrosynthesis of this complicated compound can be done in several steps into starting materials. Some of the core retrosynthesis strategies contain the analysis of di-oxygenation patterns to break bonds retro-synthetically by applying aldol reactions and Grignard as well as anion addition. Moreover, the Diels-Alder reaction is also one of the core reactions to break those multiple rings in this retrosynthesis pathway
Knowledge Distillation for Urban Tree Image Classification Based on the Diffusion Model
Authors: Shi Ruijing
Published: October 2024

As urban areas continue to emerge as significant contributors to global carbon emissions, the classification of urban street trees has gained increasing importance in carbon sequestration research. By precisely identifying and categorizing different tree species, the carbon absorption capabilities of urban vegetation can be evaluated more accurately. This understanding is essential for addressing the growing environmental challenges posed by carbon emissions, as urban trees play a crucial role in absorbing carbon dioxide and mitigating the effects of climate change. In this study, a Feature Distillation Based on Diffusion Model (FDBD) framework was proposed, utilizing state-of-the-art image classification technology to enhance the accuracy of urban tree species identification. The framework utilized knowledge distillation, a process where a smaller, more efficient “student” model is trained to mimic the performance of a larger, more complex “teacher” model, significantly reducing computational demands while maintaining high accuracy. The model’s effectiveness has been validated through combination experiments with a selected backbone model, achieving promising results. This approach not only enhances the understanding of urban trees’ carbon sequestration potential but also provides crucial insights for policymakers. By facilitating precise tree classification, it empowers urban planners to implement more informed and targeted strategies for carbon reduction, ultimately promoting more sustainable urban environments.
Comparative Study on the Aesthetic Characteristics of The Nightingale and the Rose and The Narrow Door from the Perspective of Aestheticism
Authors: Sun Shiya
Published: October 2024

Based on the aesthetic background of aestheticism, this paper studies the common and different aesthetic characteristics of the two works. By using the method of comparative research, this paper compares the characteristics of Wilde’s The Nightingale and the Rose and Gide’s The Narrow Door from the direction of tragedy, and analyzes the differences in story content, expression techniques, and emotional expression, to achieve a unique interpretation of beauty. Although the two have their emphasis on the expression technique and theme, they both embody strong aesthetic characteristics and a profound reflection on life, love, and faith. Through the comparative study of these two works, one can deeply explore their similarities and differences in tragedy, aesthetic view, and emotional expression, and reveal the unique interpretation and pursuit of beauty of the two writers under the background of aestheticism. Through the comparative study of this paper, can see that the two works have aesthetic characteristics, critical characteristics, death art characteristics, and faith complexes. Oscar Wilde’s The Nightingale and the Rose also has a scathing quality, while Andre’s “The Narrow Door” embodies a contradictory quality.
The Impact of Short Video Platform Marketing Strategies on Consumer Purchase Intentions: A Case Study of International Sportswear Brands
Authors: Ma Shuoyang
Published: October 2024

Social networking platforms have continued to evolve and expand their online shopping capabilities in recent years, and among these applications, short video platforms (e.g., TikTok, Instagram, etc.) have been one of the most influential and promising categories in the last five years. In order to study how the marketing methods of short video platforms work, this article explores and discusses the marketing methods of international sportswear brand Adidas on the Shakeology platform in a targeted way through a case study model, including short video posting, online shopping link homepage, and live streaming room. From the content of the case study, this paper concludes that the marketing channels of the short video platform can be categorized into three main ways: the release of short videos of the official public number, the advertisement videos of bloggers of the same category, and the promotion in the live broadcasting room. The degree of effectiveness of these channels is often closely related to consumers’ purchasing tendencies. Typically, advertising videos as well as live-streaming pitches will pinpoint potential consumer groups through big data, and consumers make subjective judgments of interest in the video content based on psychosocial effects. Throughout the process, recognizing consumer needs is an essential focus for marketing success.
Advantages of Big Data Analysis and AI Technology in Data Collecting And Processing of Preventive Maintenance
Authors: Liu Xinyuan
Published: October 2024

In recent years, the emergence of Cyber-Physical systems (CPS), big data, cloud computing, and industrial wireless networks have promoted the development of Industry 4.0. Intelligent manufacturing systems are the leaders of this change. In smart manufacturing, the emphasis will be placed on using technologies such as big data analytics, cloud computing, edge computing, and artificial intelligence (AI). The advantages of new technologies are significantly reflected in the comparison of preventive maintenance and traditional maintenance based on intelligent technology: preventive maintenance significantly reduces the cost of prevention and, at the same time, dramatically improves the accuracy and timeliness of maintenance, bringing inestimable value to intelligent manufacturing. This paper will analyze new technologies’ innovative advantages and technical prospects through big data analysis and specific application scenarios of AI technology in preventive maintenance. Firstly, in data acquisition, this paper examines the architecture of preventive maintenance systems based on big data. Then, it analyzes the composition of the data pipeline: in the realization of data collection and processing in the field of cloud computing and edge computing, and the aspect of data processing, it discusses the participation of AI technology in data understanding and processing and the unprecedented changes it brings.
Effect of Magnesium Intake on Hypertension in Chinese Elderly Population
Authors: Geng Xingyue
Published: October 2024

Existing studies have found that the prevalence of hypertension in people aged 70 and above is as high as 70%. At present, the prevalence of hypertension among the elderly in China is rising sharply, and these are closely related to magnesium deficiency. This is a review article to demonstrate the association between magnesium deficiency and hypertension by reviewing the literature in recent years. According to the Dietary Recommendations for the Elderly in China, the recommended daily consumption of magnesium for adults would be 330 milligrams (mg), while 74.8% of the population did not meet the recommended intake. Due to the traditional dietary patterns of older Chinese people, who do not have a high uptake of foods such as nuts and seeds, which increases the risk of magnesium deficiency. At the same time, incomplete absorption of magnesium can lead to magnesium deficiency as the absorption rate of gastrointestinal function decreases with age. Studies have found that changing dietary patterns and consuming magnesium supplements are effective in increasing magnesium intake and thus reducing the prevalence of hypertension.
The Role of Nutrition in Non-Communicable Diseases: Literature Review
Authors: Ge Jiaqi
Published: October 2024

Cardiovascular diseases, diabetes, obesity, and certain types of cancer, collectively referred to as NCDs, are a global concern and contribute to about 71% of the total global mortality. This paper focuses on examining nutrition in an attempt to understand how it influences these diseases since the consumption of certain foods is a modifiable risk factor. The results reveal that an increased concentration of fruits and vegetables, whole meal grains, and health-promoting fats can help reduce the vulnerability to NCDs, but a high diet of processed foods and sugar makes the problem worse. However, there is still a dearth of knowledge on the multifaceted processes regarding how particular diet patterns influence NCDs. This study synthesizes available literature on nutrition and NCDs concerning how dietary patterns and nutrient intakes influence the prevention and treatment of diseases. Conclusions are drawn from numerous investigations, stressing the positive effects of dietary modifications like Mediterranean and DASH diets on NCD risk and actual health status. This review contributes to the future development of nutrition and health as a quick reference for researchers about the specific effects of nutrition on health. However, some barriers have not yet been solved like the incidence of unhealthy dietary patterns. Subsequent research should closely examine factors that can be employed that would ensure the effective administration of both nutritional interventions as well as the formulation of improved public health policies that would ensure a change of habits and eating behaviors in a bid to reduce the effects of NCDs.
Research on Traffic Optimization and Growth Strategy under Precision Marketing -- A Case Study of Social Media Xiaohongshu
Authors: Long Xining
Published: October 2024

With the development and progress of social media, digital marketing has ushered in a new era. With over 200 million monthly active users, Xiaohongshu has shown brands the potential of precision marketing and traffic optimization on social media. Major brands have joined Xiaohongshu to improve their communication matrix. Therefore, this article adopts the literature analysis method to analyze the marketing status and reasons and problems for the existence of traffic on the Xiaohongshu platform, and explores strategies for optimizing traffic on the Xiaohongshu platform based on the 4C template. In the era of digital marketing, the Xiaohongshu brand needs to reposition itself accurately, promote personalized marketing, use technological methods to create creative content, attract user attention, and use diverse interactive methods to establish emotional resonance with users. In order to improve the drawbacks of Xiaohongshu’s traffic growth, enhance its traffic utilization rate, improve Xiaohongshu’s user reputation, and provide more accurate theoretical basis and development direction for social media precision marketing, ushering in long-term and healthy development.
The Role of Sentiment Analysis in Machine Translation- A Review on the Example of ChatGPT
Authors: Wang Jiayue
Published: October 2024

In today’s globalization, machine translation technology has become an indispensable bridge for cross-lingual communication. The integration of sentiment analysis makes machine translation not only able to convey information, but also able to accurately express and understand the emotional color of the original text, which is of great significance in the fields of cross-cultural communication, customer service, and social media interaction. This study overviews the development of machine translation technology, from early rule-based models to modern statistical models to Transformer-based neural network models, with a special focus on the integrated application of ChatGPT in sentiment analysis and machine translation. First, this study introduces the background and research significance of machine translation, and discusses the role of sentiment analysis in improving translation quality and user satisfaction. Subsequently, the historical development of machine translation technology is reviewed in detail, and the basic concepts and methodologies of sentiment analysis and its applications in different fields are elaborated. On this basis, this study analyzes in depth the technical architecture, language model and interaction capability of ChatGPT, as well as its specific application and performance in sentiment analysis. Further, this study explores the importance of sentiment analysis in machine translation, including sentiment recognition, translation strategies for sentiment expression, and the impact of sentiment analysis on improving translation quality and cultural adaptability. Meanwhile, the advantages and limitations of ChatGPT in sentiment analysis are assessed, and future research directions are proposed, including technology convergence, construction of datasets and evaluation criteria, and ethical and bias issues. Finally, this study summarizes the practical application value of sentiment analysis in machine translation and looks forward to the potential areas of future research, aiming to provide reference and inspiration for the further development of machine translation and sentiment analysis.
Adolescent Mental Health Crisis: Current Situation, Challenges and Solutions
Authors: Chen Keqing
Published: October 2024

This paper explores the mental health issues faced by 10-19-year-olds globally, which remain primarily under-recognized and under-treated. Although depression and anxiety in adolescents cannot be solved quickly, long-term improvements can be achieved. Long-term solutions to the adolescent mental health crisis need to include intergenerational shifts, social reform, medical advances, and public health engagement. The article analyzes the impact of family dynamics, social pressures, technological influences, and external crises on adolescent mental health. It makes policy recommendations, including raising awareness of depression and anxiety symptoms among guardians, establishing robust mental health services, training professional health care providers, and enforcing stricter regulation of cyberspace. And encourage young people to reduce stress through sports, hobbies and social activities. Overall, the paper argues for a policy framework that combines administrative and emotional care to protect young people’s mental health and enable them to reach their full potential.
Analysis of the Principle of Gravitational Wave Detection and State- of-art Results
Authors: Li1 Zijin
Published: October 2024

Over one hundred years after Einstein’s first theoretical prediction of gravitational waves, the recent observations of gravitational waves by interferometric detectors have risen excitement in the science community with the light from a new era of directly observing perturbations in spacetime itself. With the large quantity of new research in the gravitational wave detection area, this study provides a brief summary of the current achievements of the field. This paper first gives a short introduction of the field, then offers a summarize of the theories and principles of gravitational wave detection. Afterwards, it demonstrates modern detectors using the advanced LIGO detectors as an example, and presents its groundbreaking results, signal GW150914 and GW151226. Finally, the limitations and prospects of current observations are proposed. By summarizing fundamental concepts and major achievements in the field of gravitational wave detection, it is hoped to provide future students and researchers with a basic idea of the field and thus promote new ideas and advancements in the rising era of gravitational astronomy.
Emerging Technologies and Applications of AI Chips: Integrating Deep Learning Algorithms with Advanced Hardware Architectures
Authors: Zhang Yuting
Published: October 2024

Due to the ongoing promotion of the latest technological revolution and industrial upgrading, as well as the widespread use of artificial intelligence and deep learning, the intelligent Internet of Things terminal has reached a more advanced stage of development. The combination of training data, model algorithms, and processing power is the basis for advancing artificial intelligence. The semiconductor business plays a crucial role in shaping the future of AI algorithms and the computing power industry. This study explores the progression of artificial intelligence, and essential technologies, and examines the categorization and structure of AI chips. The process of deep learning was then analyzed, demonstrating the application of AI in real life. Next, this study showcases distinct AI chip-related models, specifically designed for the automated implementation of Convolutional Neural Networks (CNNs) on Field-Programmable Gate Arrays (FPGAs). The study then proceeds to examine the unique procedure and the significance of the resulting data. The future of AI was examined in the domains of space exploration, healthcare, and autonomous driving, along with future forecasts.
The Prosodic Role in English Production of Native Mandarin Children: A Systematic Review Proposal
Authors: Sun Chuanqi , Chen Sihan
Published: October 2024

English, as the most widely used language globally, is increasingly valued by parents and educators. In China, a growing number of children choose English as their second language for learning after being able to use Mandarin relatively proficiently. Mandarin speakers, learning English may face many challenges, one of which is that native Mandarin speakers find it difficult to speak English naturally like native English speakers. Some scholars believe that the disparity in prosodic features between Mandarin and English is one of the key factors causing this difficulty. Compared to adult learners, children have an unstable prosodic development system, resulting in significant differences in language acquisition. Therefore, understanding the relationship between the prosodic features of Mandarin-speaking children and their English production is crucial. From the perspective of structure and purpose, this paper Outlines a systematic literature review framework, hoping to summarize the previous articles on the role of prosody in the English production of Mandarin speaking children, and provide some useful results that can help people in this field to improve their work. From the perspective of content, in this systematic literature review, we are going to propose and solve two questions: (1) Does the prosody of Mandarin influence Mandarin-speaking children’s English production? (2) If the influences do exist, what are the specific influences? To solve these two questions, we first search some articles with the searching strategies that we design. Then we plan to screen the articles that we get from searching with the inclusion criteria and the exclusion criteria that we design. Finally, we plan to use quantitative analysis to analyze these samples and give the eventual result.
Research on the Impact of Social Media Platform Brand Promotion: Take TikTok Platform Online Selling as an Example
Authors: Gu Shuxin
Published: October 2024

Nowadays, it has been discovered that more and more online selling platforms are developing. More and more people tend to do shopping online, including Taobao, Tmall, and Pinduoduo. However, live-streaming e-commerce is also stepping forward at a rapid speed. More and more online shopping platforms are appearing. This article will mainly focus on the impact of the TikTok platform’s brand promotion. The research methods used in the research are the literature review method and the case analysis method. By digging deep into a specific example of a certain selling product on the Tiktok platform’s live streaming channel, the article jumps to the conclusion that the Tiktok platform utilizes consumers’ desire for convenience and inner mind to simplify the consumption process to attract the consumers and promote their brand quality. After completing the research, it has been discovered that most social media platforms utilize consumers’ inner activity to attract users to increase their brand influence.
Impact of Adult Hippocampal Neurogenesis on Neuronal Output Patterns from the Subiculum to the Lateral Hippocampus During Anxiety
Authors: Chen Zeyi
Published: October 2024

Adult hippocampal neurogenesis (AHN) has an effect on mood regulations. Promoting AHN could recover stressed-induced symptoms such as depression and anxiety. In this study, we used voluntary physical exercise, fosTRAP2, functional magnetic resonance imaging (FMRI) and positron emission tomography (PET) technology to evaluate the effect of AHN on mice during unpredictable chronic mild stress (UCMS). Additionally, we inject fluoxetine to increase AHN.
Development of a PD-L1 Overexpression System in HEK293T Cells: A Platform for Studying Immune Evasion Mechanisms
Authors: Jiang Yibo
Published: October 2024

Programmed death-ligand 1 (PD-L1) is a key immune checkpoint protein that facilitates tumor immune evasion by interacting with PD-1 receptors on T cells, making the PD-1/PD-L1 axis a critical target in cancer immunotherapy. However, resistance to these therapies remains a challenge, necessitating further exploration of PD-L1’s functions and regulatory mechanisms. In this study, we amplified the PD-L1 coding sequence (CDS) from human cDNA, cloned it into a pcDNA3.1 vector, and transfected it into HEK293T cells to establish a robust in vitro PD-L1 overexpression system. Quantitative RT-qPCR demonstrated a 300-400 fold increase in PD-L1 mRNA expression compared to controls. These results confirm the successful construction of the PD-L1 overexpression plasmid and validate its application as a tool for studying PD-L1’s role in immune modulation and its potential implications in overcoming resistance to immunotherapy. This system provides a valuable platform for future investigations into PD-L1-mediated mechanisms of immune evasion and cancer progression.
Study on the Impact of Green Credit on Carbon Emission Reduction in the Manufacturing Industry
Authors: Zheng Zuwen
Published: October 2024

This study aims to explore the impact of green credit on carbon emission reduction in the manufacturing industry. As China actively promotes its “dual carbon” goals, green credit has become increasingly prominent as an essential policy tool in the manufacturing industry. This article first conducts a literature review on green credit and carbon emission reduction in the manufacturing industry, sorting out existing research’s main findings and perspectives. Subsequently, the current challenges and potential development opportunities are revealed by analyzing the development status, problems and future trends of green credit and carbon emission reduction in the manufacturing industry. We further used the SWOT and PEST analyses to conduct an in-depth analysis of the impact of green credit on carbon emission reduction in the manufacturing industry and identified its internal and external factors. Finally, this article puts forward corresponding countermeasures and suggestions, aiming to promote further the application of green credit in the manufacturing industry and promote carbon emission reduction work to achieve more significant results. This study will deepen our understanding of the mechanism and effect of green credit in carbon emission reduction in the manufacturing industry and provide a valuable reference for formulating and implementing relevant policies in the future.
The Impact of Different Types of Short Video-Linked Advertisements on Consumer Avoidance Behavior: A Case Study of Douyin Advertisements
Authors: Han Jinxi , Hong Shouyan , Yang Yue , Zeng Xiaoqing
Published: October 2024

With the rapid growth of the Internet, short videos have become increasingly significant in the advertising industry. Advertising linked to short videos has progressively emerged as a primary marketing strategy. However, certain categories of customers cannot be accurately targeted with advertisements, leading to dissatisfaction among some viewers of short videos. Consequently, ads associated with videos often result in consumer avoidance behavior. This article investigates and analyzes the impact of different types of short video-linked advertisements on consumer avoidance behavior, drawing on a variety of previous studies. The findings highlight the demographic traits and behaviors of consumers who tend to avoid product-related marketing in short videos. In an effort to address this issue, the study also provides comprehensive solutions and strategies to mitigate consumer avoidance and improve the effectiveness of short video advertisements. Moreover, the growth of online shopping has influenced consumer behavior and preferences, further emphasizing the need for effective advertisement strategies. By understanding the factors that contribute to ad avoidance and tailoring advertisements to meet consumer needs better, advertisers can enhance viewer satisfaction and engagement. This research contributes to the broader understanding of advertising dynamics in the digital age and offers practical insights for marketers aiming to optimize their short video advertising campaigns.
Belongingness:The Keystone of Student Development in Evolving Educational Environments
Authors: You Angela
Published: October 2024

Based on the literature review and analysis of survey responses from Babson College students’ changing sense of belongingness before, after, and during the COVID-19 pandemic, this study investigates the influence of belongingness on students in educational environments. The findings reveal that, despite the barriers posed by remote learning, there are effective approaches to mitigate these impacts, such as shorter lectures, facilitated discussions, and maintaining a strong online presence. Moreover, the personal narratives from students during this unprecedented time offer perspectives on the varying degrees of belongingness experienced across different educational stages and modalities. This research underscores the nature of belongingness and its critical role in fostering an inclusive, supportive academic environment, highlighting the need for innovative teaching strategies to preserve student engagement and belonging. In the end, this paper calls for further research into pedagogical practices that can enhance a sense of belonging in both physical and virtual classrooms, which is always evolving.
Application and Impact of the “Third Place” Concept — Starbucks as an Example
Authors: Li Yixiao
Published: October 2024

This essay explores the concept of the “Third Place” as epitomized by Starbucks, analyzing its significance in fostering community and enhancing the customer experience. By positioning itself as a communal hub, Starbucks transcends traditional retail paradigms, offering a space where social interactions flourish. The study found that Starbucks, through its successful global localization strategy, has effectively created a “third space” in different cultural contexts, enhancing customers’ sense of belonging and loyalty. Despite the impact of cultural differences on the brand experience, Starbucks’ space design and branding have become an important medium for customers to demonstrate their identity and interact socially. As the coffee shop market becomes increasingly crowded, Starbucks will need to continue to innovate and differentiate itself to meet customers’ evolving needs. In the future, Starbucks will need to continue to adapt to cultural differences and innovate to meet the challenges of the marketplace to maintain its global competitiveness.
Increasing Adult Hippocampal Neurogenesis affects Neuronal Output Pattern from the Ventral Subiculum to the Hypothalamus
Authors: Guo Canran
Published: October 2024

Adult Hippocampal Neurogenesis, or AHN, has been discovered to alleviate anxiety and depressive behavior, thus leading to the presumption that the mechanisms underlying it might be somewhat linked to the regulatory circuitry of anxiety and depression. The subiculum is a region of the Hippocampus connecting the CA1 neurons and the Entorhinal cortex. It is the main output region of the Hippocampus. A great portion of the subiculum neurons form neuronal projections to the lateral hypothalamus, which is known to play a crucial role in the regulation of anxiety via hormone secretion in both rodents and humans. Thus, we hypothesize that Adult Hippocampal Neurogenesis regulates anxiety via altering the neural output from the subiculum to the lateral hypothalamus. In this research proposal we aim to prove that increasing AHN causes a direct impact on neuronal activity in the main output region of the Hippocampus--the subiculum region, under the effect of anxiety. This study uses the Fos-TRAP2 model to induce tdTomato expression in neurons with high recent activity while the mice was under the effect of corticosterone-induced anxiety. We compare the amount of TRAPed neurons in the subiculum region of the brain during anxiety, in mice with and without weeks of voluntary exercise (running), which leads to an increased neurogenesis. This provides insight into the effects of AHN on the subiculum-hypothalamus pathway, thus the mechanisms underlying its effect of anxiety alleviation.
Sports Merchandise Marketing Analysis of Sports Brand Marketing Strategies Taking Nike as an Example
Authors: Zheng Fangyuan
Published: October 2024

Since the 21st century, rising economic productivity has increased incomes, thereby shifting the focus of individuals and societies from basic needs to richer spiritual lives and healthier lifestyles. Global brands such as Nike, Adidas, and Under Armour have expanded their reach into the Chinese market, reflecting a broader societal acceptance of sports goods. The increasing prevalence of products such as Arc’teryx jackets and LULULEMON yoga wear reflects a shift in perspective on health and fitness. Consequently, the sports goods market has become highly competitive, with brands launching new products, expanding their offerings, and enhancing cost-effectiveness while maintaining quality.In order to succeed, sports brands must adopt superior quality, innovative thinking, and unique marketing strategies. This article employs SWOT and 4P analyses to examine Nike’s marketing strategy and ascertain its customer appeal and high turnover. Additionally, it identifies shortcomings in Nike’s approach and proposes solutions. Using Nike as a case study, the article investigates how sports brands can develop practical marketing strategies to secure a strong market position.
Environmental Stress Drives Transgenerational Epigenetic Inheritance Through miR-212/132 Expression Upregulation
Authors: Cai Shanning
Published: October 2024

This is a research proposal on environmental induced transgenerational epigenetic inheritance. This work focus on pressure on food supply lead to a modification in miR-212/132 expression that result in an increased feeding of mice, and is inherited by the transfer of the miRNAs from hippocampus to sperm. Experiments including behavior tests, miRNA differential expression, gene knock-out, and nucleotide modification are proposed to prove the hypothesis. Once carried out, the research is going to help expand the understanding of transgenerational epigenetic inheritance, explore the cause of inherited obesity susceptibility, and contribute to public health.
An Industrial Economics Perspective on the Economic Valuation of Cornus officinalis: A Case Study from Xixia County, Henan Province
Authors: Qiao Ziyang
Published: October 2024

The dual nature of Cornus officinalis as both a medicinal and edible resource endows it with expansive market potential. This research develops an analytical framework to evaluate the economic value of Cornus officinalis through the lens of industrial economics. Utilizing theoretical exploration and a case study centered on Xixia County, Henan Province, the study draws several key conclusions: First, within the primary industry, Cornus officinalis contributes to the enhancement of farmers’ incomes and fosters the growth of local agriculture-related sectors through the cultivation of traditional Chinese medicinal herbs. Second, from the perspective of the secondary industry, Cornus officinalis generates substantial economic worth via food processing and pharmaceutical commerce. Finally, in the realm of the tertiary industry, the economic value of Cornus officinalis is predominantly realized through leisure and wellness services, as well as the tourism sector.
Enhancing Heart Disease Prediction through Machine Learning: A Comparative Analysis of Algorithm Generalization across Datasets with Various Distributions
Authors: Lyu Siming
Published: October 2024

Heart disease, due to its high prevalence and mortality, remains a key area of global research. Although traditional diagnostic methods are effective, they are often invasive and time-consuming, highlighting the need for non-invasive, AI-based approaches. A significant challenge in real-world applications is ensuring model generalization across different datasets, particularly when the datasets are small. In this study, the performance of machine learning models, including Decision Tree, Random Forest, Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP), was evaluated on two distinct heart disease datasets with different distributions and relatively small sizes. Two datasets with varying distributions were used for training and testing, with the primary focus on assessing model generalization in crossdataset applications. It is shown in the results that, while the Decision Tree model performed best after hyperparameter tuning, the improvements in Random Forest and MLP were limited, and SVM exhibited a decline in performance after tuning in the cross-dataset task. It was found that grid search tuning has limitations in cross-dataset scenarios, especially with small datasets, where complex models are prone to overfitting. The study demonstrates that, with smaller datasets, simpler models like Decision Trees often adapt better to different datasets. Furthermore, transfer learning and domain adaptation techniques are suggested as crucial for improving model generalization. Future research should focus on employing these techniques to enhance the robustness and accuracy of heart disease prediction models across diverse datasets.
Research on the Constructive Narrative Mode of Film based on the Embodied Imagination Theory
Authors: Xu Qin
Published: October 2024

Psychoanalytic theory can be used to analyze the narrative mode of the film to explain psychological problems from the perspective of dreams. Based on the theory of embodied imagination, this study uses the text analysis method to analyze the film constructive narrative mode embodied in the film Deep Sea through the case study. The film constructs the sand play narrative space and uses nonlinear narrative techniques to reflect the three major characteristics of the film’s constructive narrative mode based on the theory of embodied imagination: the integration of authenticity and illusion in image construction, the penetration of emotional emergence and the process of image experience, and the realization of healing effects both on and off-screen. In the research process, the advantages and disadvantages of film works are analyzed. The advantages of free narrative logic and immersive movie-watching experience are accompanied by the disadvantages of increasing the threshold of movie-watching and large investment risks. This study provides a reference for the construction of the theoretical system of film constructive narrative mode.
The Power of Default Option: How Extensive Choices Impact Consumer Decisions
Authors: Xiao Yixuan , Xiong Bingyi , Zou Jingyun
Published: October 2024

This study explores choice overload and its impact on consumer decision-making, particularly regarding default options. While prior research indicates that gender may influence decision-making, our findings reveal no significant gender effect on the likelihood of selecting default options, satisfaction levels, or decision-making duration. This suggests that choice overload’s effects are applicable across diverse demographic groups. Our research provides important marketing insights, advocating for simplified choice environments to enhance customer satisfaction. Reducing the number of options can alleviate choice fatigue and improve the overall purchasing experience. Conversely, when promoting specific products, creating a choice overload scenario with a designated default option may increase its selection likelihood. The study does, however, recognize limitations, such as the lack of comparisons between scenarios with and without default options and potential participant confusion that may lead to invalid responses. Future research should investigate the role of default options on satisfaction and decision-making time within choice overload contexts and assess whether product categories influence adherence to default options.
Gender inequality in Chinese Civil Service System: Dilemma Faced by the Female in the VUCA world
Authors: Chai Yujing
Published: October 2024

The role and socio-economic status of women in the public/private sphere are deeply influenced by a country’s historical, political, economic, and social policy development. In today’s VUCA era, the pattern of gender inequality still highlights women’s disadvantages in education, employment, social security treatment, and political participation. In such a volatile, uncertain, complex, and ambiguous era, Asian women prefer the relative stability and security of the civil service in their employment choices. Still, they are often disadvantaged in the workplace due to gender discrimination. Despite the measures taken by the Chinese government, the important goal of achieving social equality between men and women has remained an unfinished political agenda due to the lack of a holistic redistributive mechanism that promotes gender equality. In the future, the awakening of women themselves and the development of gender mainstreaming strategies and social policies will have a profound impact on the realization of gender equality in China.
The Influence of Anime Culture on Consumers’ Consumption Habits
Authors: Shi Yichun
Published: October 2024

With the continuous development of anime culture, many anime enthusiasts have transferred their focus of consumption from video game recharge to animation goods consumption. At the same time, the number of merchants is also increasing day by day. In addition to selling through channels such as Taobao, XianYu, and WeChat stores, many merchants have also chosen to open offline goods stores. These animation goods have penetrated into various fields, not only badges and standing signages with high viewing value, but also many daily necessities such as umbrellas, bottles, and clothes. Therefore, the author tries to study the influence of anime goods culture on fans’ consumption habits and their psychology when consuming. Through questionnaire surveys and interviews, it was found that purchasing these goods not only satisfies consumers’ collection preferences, but also gives them a strong sense of identity. According to statistics, the majority of consumers are teenagers aged 15 to 18, who have a great passion for this culture in addition to their studies. In the future, anime goods industries have a very considerable development prospect.
Research on the Optimization of Film Marketing Strategy by New Media
Authors: Huang Xiaoran
Published: October 2024

Combining new media and film marketing means has become an indispensable part of today’s film industry. This study focuses on the influence of the popularity of new media on film marketing. With the popularity of the internet and the rise of new media, film marketing is facing unprecedented opportunities and challenges. New media platforms, such as social media and video-sharing websites, provide a wide range of communication channels for movies, making movie trailers, posters, and promotional activities spread to the audience quickly. Targeted advertising and precision marketing enable filmmakers to target audiences and improve marketing efficiency and return rate accurately. However, new media marketing is also information overload: fierce competition and user privacy. Combining the definition of new media and specific cases, this paper discusses the optimization function of new media on film marketing strategy. By exploring the relationship between new media and film marketing, this paper analyzes the characteristics of new media and its role in specific film marketing success cases and draws the reasons and strategies for using new media in film marketing to achieve good results at present.
Analysis of the causes of sustained economic growth in and after the late 18th century
Authors: Li Jinyuan
Published: October 2024

Before the late 18th century, sustained economic growth was largely absent, but after that, the situation changed. The rarity of sustained economic growth before the late 18th century can attributed to institutional constraints on technological development and economic trade and a low-productivity equilibrium characterized by limited technological innovation and demographic pressures. After the late 18th century, the Industrial Revolution, institutional changes such as capitalism and colonialism, and demographic transitions all emerged. How these factors enabled sustained economic growth is analyzed in the essay.
The Analysis of Strategic Development of Tesla in Chinese Electric Vehicles Market
Authors: Li Xintai , He Ziyi , Wang Yiming
Published: October 2024

Since 2012, Tesla has established many factories and research and innovation centers in China. This paper examines the strategic development of Tesla in the Chinese electric vehicles (EV) market and reveals several key findings. As one of the world’s leading EV manufacturers, Tesla’s expansion into China has been a significant milestone in its global growth strategy. The analysis focuses on Tesla’s market entry strategy, competitive positioning, localization efforts, and the impact of Chinese policies and market dynamics on its operations. By studying Tesla’s strategic decisions and outcomes in the Chinese EV market, this paper provides insights into the opportunities and challenges faced by multinational companies in the rapidly evolving Chinese EV industry.
CRISPR-Cas9 and its Application in the Fields of Medics
Authors: Pan Guanyu
Published: October 2024

Gene editing technology has become a prominent objective within the fields of medical research, the clustered regularly interspaced short palindromic repeats-associated protein 9 (CRISPR-Cas9) is one particular technology that has already been practiced in a set of clinical trials, which produced a satisfying result that have demonstrated its potential to be applied to a great range of treatments. CRISPR-Cas9 was derived from bacterial defense system, and has been applied in the field of medical research. For instance, the research practice of using CAR-T cells by CAR-T Therapy, and genetically modifying DNA strands to remove cancerous or mutated sequences. This research has great chance to promote treatments associated with genetic modification and provide new hope for patients in the future. Nevertheless, this technology is still immature, due to its potential drawbacks. Most researchers are still focusing on practices of CRISPR-Cas9 on animal models or isolated somatic cells. This article draws attention on different treatments of CRISPR-Cas9 and provides evaluation and suggestions as a reference for future practices of this technology. Overall, there are two discoveries of advancement to the CRISPR-Cas9 mechanism: modification to the guide RNA that improves the accuracy, and applying high-fidelity Cas9 protein variants to enhance its comprehensive accuracy.
An Integrated Review of Pluto-Charon Binary Syatem
Authors: Yang Xiaoxian
Published: October 2024

The Pluto-Charon binary system is a significant celestial configuration in the Kuiper belt, it is the first Kuiper-belt binary to be discovered. The study of the Pluto-Charon binary system is helpful for the understanding of planetary formation and evolution and Kuipe-belt objects. The surface feature of the binary and the evolution of the system related to the Sun or its satellites and rings have been hot in research on the Pluto-Charon system. For example, most study hold a view that the Pluto-Charon binary was formed by a giant impact. However, the internal structure and formation remain partly unexplored. This review paper compiles literature on the physical properties, formation, and basic dynamics of the Pluto-Charon system. Observational data from the New Horizons mission has advanced the understanding of the system, the review overviewed the characteristics of the Pluto-Charon binary system from the observation and analysis in the current research, such as the surface material of the two bodies. The paper also added a basic introduction to the binary system.
A Study on the Correlation between Danmaku Videos and Audiences’ Repetitive Viewing Behaviours - A Case Study of Bilibili Danmaku Video Network Videos
Authors: Liu Chenlezhi
Published: October 2024

With the rise of online video platforms, Danmaku videos have steadily gained popularity among young people. Danmaku’s instantaneous, synchronous, targeted, and cumulative features offer viewers a novel viewing experience, improve the social and interactive aspects of video views, and even impact the frequency with which users watch videos again. As a popular video website at present, Bilibili provides rich video content for audiences and supports the Danmaku function. This study targets Bilibili Danmaku videos and focuses on how Danmaku videos affect the audience’s viewing motivation and experience as the research theme. Descriptive statistics and result analysis were utilized in this study to investigate the reasons behind repeat viewing and the effect of the Danmaku on the viewing experience. Questionnaires were employed to gather viewing data from video audiences in the Bilibili life division. According to the findings of the study, Danmaku greatly improves the overall viewing experience for viewers as well as their enjoyment of the show and sense of community. The study concludes that Danmaku facilitates the audience’s behavioral decisions of repetitive viewing to a certain extent. This study provides an empirical analysis to explore the role of Danmaku in video viewing behavior and makes strategic recommendations for video platforms to improve user experience and foster community engagement.