bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Analysis of Heart Disease based on Logistic Regression
Authors: Zhang Xidan , Zhu Junyi
Published: December 2024

Heart disease is a general term for heart diseases, including rheumatic heart disease, congenital heart disease, hypertensive heart disease, coronary heart disease, myocarditis and other heart diseases. As a major cause of death worldwide, it is important to further improve the prediction, monitoring, and effective prevention and treatment of heart disease based on the current level of science, technology, and medical care. This study is based on thirteen quantifiable factors influencing heart disease and conducts both overall logistic regression and paired logistic regression analyses. In the process of regression analysis, this paper highlights the statistical significance of each variable, and the results of the regression analysis are presented as a more accurate heart disease prediction model, which can be updated regularly to improve the timeliness of the heart disease prediction model, taking into account the influence of time factors. In addition to this, the paper also asserts the dilemmas and challenges faced by this research from other perspectives, such as genetics, lifestyle, etc., and realizes that in real life, researchers should consider the multidimensional influences of heart disease more comprehensively.
Comparing Organic and Conventional Foods: Nutritional Value, Farming Practices, and Health Impacts
Authors: Ning Yang
Published: December 2024

Recently, people’s choices have been influenced by growing concerns about health and the environment. Current research suggests that organic foods may have health benefits. The reason for this is that organic foods do not contain pesticides and have higher nutritional content and bioactive compounds. Furthermore, organic farming reduces greenhouse gas emissions and promotes biodiversity. Animal welfare is also taken into account in animal farming practices. However, research is still needed to understand the long-term health impacts of agriculture, as well as to address challenges related to productivity. This review aims to compare conventional and organic foods in terms of nutrition, farming practices, animal husbandry, and health impacts. While organic foods are often labeled as good for the environment, conventional methods are sometimes superior in terms of yield and nutrition. A mix of both methods is essential to creating sustainable systems. In the future, research should focus on the impacts of agriculture on human health and explore innovative methods for improving productivity in order to meet the needs of the global food supply.
The Modern Communication of Asian Culture in Social Media ——Take the Influence of Fan Culture Invading the Sports Field as an Example
Authors: Li Xiaran , Zhou Yidi
Published: December 2024

In today’s information age, the rapid development of social media has become a key platform for various cultural communication.As a unique existence in the multicultural system, subculture shows unprecedented breadth and speed of communication with the help of the powerful power of social media.This study focuses on exploring the influence of fan circle culture on the field of sports in subculture. With the topic of fan circle culture invading the field of sports, from subculture to the performance of fan circle culture today, it deeply explores the impact of fan circle culture on the field of sports in the social media environment. The communication performance, positive and negative effects of fan circle culture in the field of sports are analyzed with specific examples of athletes. User comments are widely collected to make relevant word cloud diagrams, emotional analysis diagrams, etc., and relevant analysis is made. What aspects of users’ negative emotions towards athletes are reflected, and how will these emotions affect athletes themselves and even in the field of sports. This article aims to study the modern communication of Chinese and Asian culture on social media, especially the impact of fan culture invading the field of sports, which is of great practical significance for a comprehensive understanding of the development trend of contemporary culture and the scientific guidance of the healthy development of sports.
A Study on the Image Change of Working Women in Chinese Realist Films after The Period of Reform and Opening-up
Authors: Liu Zheng
Published: December 2024

After the reform and opening up, China ushered in a vigorous period of the development of realistic films, and women began to gradually step out of the family. They gradually possessed an independent consciousness and began to pursue their own careers. This study observes the images of working women in Chinese realistic films after the reform and opening-up through observation methods, analyzes the relationship between the cinematic portrayal of working women and the historical background, and interprets the reasons behind the changes in the portrayal of women. Additionally, it puts forward expectations for the portrayal of working women in future Chinese realistic films. This study found that, driven by both social and individual factors, the image of working women has become more complex and diversified over the past 50 years. They have gradually voiced the concerns of contemporary women to society, and have contributed to the progress of social attitudes. After the reform and opening-up, the evolution of the image of working women in Chinese realistic films has gradually elevated female values and been endowed with richer cultural connotations in the new era.
Research for Global Carbon Emissions Influence Factor and Sustainable Reduction
Authors: Cheng Baoyu
Published: December 2024

Today, carbon emission pollution is particularly serious. Greenhouse gases are produced all the time in every part of people’s lives, which directly leads to catastrophic global warming. Controlling carbon emissions is related to the fate of the entire earth, and countries around the world need to study the most effective and lowest-cost emission reduction methods as soon as possible. In this regard, this article comprehensively reviews the factors affecting global carbon emissions and analyzes the rising trend of carbon emissions in recent years. The article focuses on the mechanisms of major sources of carbon emissions such as transportation, urbanization, and industrial production, and their impact on the environment. The study found that the combustion of fossil fuels produces a large amount of carbon dioxide emissions and forest reclamation is the main reason for the increase in greenhouse gas concentrations, which directly leads to climate change. In addition, the article also analyzes the potential impact of urbanization. This article emphasizes the importance of reducing carbon emissions through global cooperation, technological innovation, and policy intervention to promote sustainable development.
The Role of ZNF292 in Breast Cancer
Authors: Yang Xiyan
Published: December 2024

Breast cancer as one of the most malignant tumors in the world numbered sixth in all cancer-related deaths. In China, breast cancer has become one of the most seriously fatal malignant tumors. Etiologically, breast cancer can be classified as basal-like breast cancer (BLBC), of which about ninety percent of BLBC patients are Chinese. The absence of precise mechanisms underlying the pathogenesis and aggressive progression of BLBC has greatly hindered the search for effective targeted therapeutic agents. Therefore, the search for better intervention and therapeutic options in terms of molecular mechanisms is an excellent approach. There is growing evidence that ZNF292 has an inhibitory role in cancer, but its function and exact mechanism in breast cancer are unknown. This paper explores the impact of ZNF292 on breast cancer by combining important findings on the role of ZNF292 in cancer over the past year, and the results of taz-driven human breast cancer via inhibition of SKP2- P27 targeting.
Research on the Carbon Footprint Impact of Using Individual Plastic Bottles in Orienteering Events in China
Authors: Wang Yihan
Published: December 2024

Global warming is nowadays seriously affecting people’s production and life and causing great harm to the natural environment. The main cause of global warming is the greenhouse effect, which is due to the emission of greenhouse gases into the atmosphere. As a measure of an activity’s contribution to global warming, the calculation of carbon footprint is essential. In China orienteering events, single-use bottled water is widely used as post-race supplies, which generates a large amount of carbon emissions and carbon footprint. However, although bottled water is convenient, this consumption is still unnecessary, since there are other efficient alternatives. In this paper, the author discusses the possibility of changing the water supply strategy and method for orienteering events in China. Comparing the basic information and carbon footprint results produced by bottled water, barrel water and tap water, the author concludes that plastic materials required for barrel water are much less than bottled water since bottles own larger surface area than barrels when containing same amount of water. The author also summarizes that single-use bottled water system produces much more carbon footprints than municipal tap water system does due to the former one’s more complex and energy consuming process. In conclusion, the author considers that replacing single-use bottled water with barrel water and recycled cups or tap water is promising and has great benefits for the environment.
AI-Powered Coding Tools: A Study of Advancements, Challenges, and Future Directions
Authors: Zhang Dingyi
Published: December 2024

This review examines the effects of AI-assisted programming in contemporary software development, paying particular attention to tools driven by Large Language Models (LLMs), such as GPT-4o and GitHub Copilot. Starting with data processing and ending with model deployment, the review describes the standard workflow for training machine learning models and how programmers use these models to improve their coding processes. GitHub Copilot, an AI-powered code generator, and GPT-4o, a general-purpose LLM, are compared in terms of accuracy, usability, and efficiency when assisting with programming tasks. The results show that although both tools greatly facilitate coding, they each have particular advantages and disadvantages. GitHub Copilot is excellent at integrating with IDEs, providing contextual code recommendations and streamlining processes. In contrast, GPT-4o shows better accuracy when creating code from scratch, but it does not have Copilot’s seamless IDE integration. The review also identifies some of the current drawbacks of AI-powered coding tools, including the possibility of producing faulty or vulnerable code as a result of training on unreliable datasets and the inability to comprehend context, which can occasionally result in functionally correct but practically incorrect code. In order to filter and fix problematic code before training, the review recommends using advanced algorithms for data pre-processing. It also suggests improving the interpretability of code generated by AI to help developers better comprehend and trust the results.
The Taylor Series and Its Application
Authors: Yuan Zipai
Published: December 2024

Taylor series, a fundamental concept in mathematics, expresses a function as an infinite sum of terms which is calculated from the values of its derivatives at a single point. Its applications span various fields, notably physics and finance, where it simplifies complex functions for analysis and problem-solving. This study employs a qualitative approach, reviewing existing literature on Taylor series applications. It analyzes case studies in physics, such as approximating motion equations, and in finance, like option pricing models. The method includes mathematical derivations and simulations to demonstrate efficacy. Findings indicate that Taylor series significantly enhance computational efficiency and accuracy. In physics, it aids in predicting particle behavior under varying forces. In finance, it provides valuable insights into the pricing of derivatives and risk assessment. The Taylor series proves to be an indispensable tool in both physics and finance, facilitating complex calculations and improving analytical capabilities. Its versatility underscores the importance of mathematical foundations in real-world applications.
Analysis of New Media Communication Barriers to the Internationalization of Chinese Cultural Products: An Analysis of the Game Black Myth Goku
Authors: Qiu Yanjin , Wang Huayu
Published: December 2024

The international dissemination of Chinese cultural products, driven by the wave of globalisation, has become a key indicator of cultural soft power. Wukong, an exemplary figure within the Chinese gaming industry, has garnered considerable interest from international markets. However, the dissemination process has been beset with numerous challenges, including cultural differences, limitations in language translation, difficulties in adapting technical platforms, deficiencies in game graphics and gameplay, and higher prices. The objective of this paper is to examine the specific manifestations of these obstacles in depth and to propose corresponding solution strategies with a view to enhancing the game’s international appeal and market competitiveness. By enhancing cultural adaptability, upgrading translation quality, expanding technological coverage, improving gameplay experience, and formulating reasonable pricing strategies, we aim to provide valuable insights for the international dissemination of Chinese cultural products, thereby further promoting the exchange and prosperity of Chinese culture on a global scale.
Functional Analysis of the Promoter pBnMYB69-1 in Brassica Napus
Authors: Meng Yuntong
Published: December 2024

MYB transcription factors play a crucial role in regulating plant development and adaptation. Brassica napus, a major oil crop, often faces challenges such as lodging and diseases. In this study, using the genome of Brassica napus as a template, we cloned a 2000 bp promoter sequence upstream of the start codon of the pBnMYB69-1 gene. Prediction and analysis of cis-regulatory elements revealed that the promoter contains essential core regulatory elements of eukaryotic promoters, such as the TATA box and CAAT box. Additionally, it includes various functional elements, such as light-responsive elements (ATCT-motif, Box 4, TCT-motif), anaerobic induction elements (ARE), methyl jasmonate (MeJA)-responsive elements (CGTCA-motif, TGACG-motif), and gibberellin-responsive elements (P-box). These findings provide a solid foundation for the application of this promoter in transgenic improvement of crop quality and the artificial creation of germplasm resources in Brassica napus.
Heat Kernel estimations for the simple random walk
Authors: Wang Xiaoyuan
Published: December 2024

In this paper, we investigate the convergence rate of the heat kernel defined on locally finite graphs in the one-dimensional simple random walk case. The heat kernel represents the transition density and can be estimated by approximating the factorial. Through asymptotic expansions of certain functions and Taylor expansions of some terms, upper and lower bounds of the heat kernel can be derived.
The Rise of Blind Boxes: Cultural, Marketing, and Consumer Trends Behind Bubble Mart’s Global Success
Authors: Wu Siyao
Published: December 2024

As a consumer product full of unknowns and surprises, blind boxes have become popular worldwide in recent years, especially among young consumers in China. This study uses Bubble Mart as a case study to analyse the cultural background, marketing strategies and widespread influence of the blind box industry on consumers. Bubble Mart has successfully attracted a large number of users aged 15-40 who pursue individuality and emotional resonance by collaborating with well-known IPs to create trendy toys with cultural connotations. With the strengthening of the trend of consumption upgrading, blind boxes have not only become a collectible, but also gradually become a symbol for young people to show their individuality and social identity. This article also discusses the uncertain characteristics of the blind box business model and how this marketing model has achieved global expansion through diversified online and offline channels and self-media promotion. Despite its impressive performance in overseas markets, Bubble Mart still faces certain challenges in terms of marketing costs and after-sales service. Through an in-depth analysis of Pop Mart, this study demonstrates the potential and limitations of the blind box industry as an emerging consumer culture.
Linear Regression Analysis Between the Height of Parents and Children
Authors: Hao Yuetong
Published: December 2024

Height is a subject of interest in understanding familial relationships and growth patterns. A sample of 20 boys and 20 females, ages 15 to 19, together with their parents, were gathered for the study, which examines the link between parents’ height and that of their offspring. By treating the parents’ height as the independent variable (X) and the children’s height as the dependent variable (Y), regression models were developed to predict height differences across genders. The models were also cross-tested to compare their predictive power. The optimal regression equations yielded relatively low R² values: 0.096 for the height of father and son, 0.122 for mother and son, 0.078 for father and daughter, and 0.091 for mother and daughter. Despite the relatively low R² values, these findings underscore the complex nature of height inheritance, suggesting that multiple genetic and environmental factors contribute to height variations. To give a more thorough picture of the factors influencing height, subsequent research might examine these extra variables.
International Economic Cooperation Organization in Globalization and Anti-globalization: Roles and Challenges
Authors: Yu Yihang
Published: December 2024

In the wave of economic globalization, the economies of all countries are closely linked, forming a complex and diversified international economic system. However, the trend of anti-globalization has grown more and more prominent in recent years due to significant changes in the global economic landscape and the ongoing accumulation of internal contradictions. This phenomenon is now unavoidable in the process of global development. In light of this, it is especially important and urgent to consider how international economic cooperation organizations will develop as important pillars of the global economic governance system, what major obstacles they will face, and how they will grow going forward. These organizations need to flexibly adapt to the ever-changing international economic environment to strengthen global economic cooperation and governance and jointly address the challenges posed by anti-globalization. This paper focuses on three representative international economic cooperation organizations, namely the World Trade Organization, the International Monetary Fund, and the World Bank, and adopts the research method of literature review, aiming to systematically summarize the research results of previous researchers. Through in-depth analysis, this paper seeks to reveal how these organizations have evolved new roles and faced unprecedented challenges in the complex context of globalization and anti-globalization. Lastly, this paper will offer specific policy recommendations for these international economic cooperation organizations based on the research mentioned above in order to help them respond to the current circumstances more effectively and to support the robust growth of the world economy.
Current Technological Development Status of the Asteroid Resource Extraction Industry
Authors: Jiang Han , Zhang Bochao
Published: December 2024

Asteroid metal mining represents a cutting-edge frontier in space exploration, with Near-Earth asteroids rich in metallic minerals, including nickel, iron, cobalt, and platinum-group elements. Harnessing these extraterrestrial resources holds the potential to mitigate the depletion of Earth’s metal reserves. This review examines the latest advancements in asteroid mining technologies, including techniques such as controlled blasting, precision drilling, and laser-based extraction, alongside post-mining processing methods like conventional separation and refinement, as well as innovative approaches such as space-based bio-mining. Covering the entire spectrum from resource exploration and extraction to refining, these technologies remain at the developmental stage, facing substantial costs and technical hurdles. However, as the space economy continues to expand, asteroid metal mining is poised to emerge as a key sector, driving synergy between space exploration and terrestrial economic growth. This paper evaluates these approaches by analyzing their technical strengths, limitations, and evolving industry trends.
The Role of Negative Emotions and Emotion Regulation in Aggressive Behavior: Insights from Eye-tracking
Authors: Li Hanrui
Published: December 2024

Aggressive behavior and the rising number of violent incidents significantly impact social security. Such behavior is influenced by various factors, including emotions, social environment, and cultural background. Many studies explore aggressive behaviors from sociological and psychological aspects. However, some research on aggression and aggressive emotions has been lacking in empirical data. This study aimed to investigate the link between negative emotions, cognitive emotion regulation, and aggressive behavior. The Positive and Negative Affect Schedule (PANAS) and Cognitive Emotion Regulation Questionnaire (CERQ) are used to assess the participants’ levels of negative emotions and their cognitive emotion regulation strategies. Additionally, we indirectly measured their responses by tracking their eye movements as they observed aggressive behaviors with an eye-tracker. The data analysis revealed that individuals with higher levels of negative emotions had a significant attentional bias towards aggressive behavior, indicated by longer total fixation durations and higher fixation counts. Likewise, those with higher scores on the Negative Cognitive Emotion Regulation Questionnaire exhibited a greater aggressive attentional bias. The study’s findings highlight the importance of negative emotions and cognitive emotion regulation strategies in shaping attentional biases towards aggressive stimuli. The results show the importance of interventions that target cognitive emotion regulation to reduce aggressive responses and enhance emotional balance. These insights not only fill gaps in the existing social aggression theory but also could assist psychotherapists and behavior modifiers in applying this knowledge to treat aggressive behavior. Future research could consider more diverse samples and examine long-term effects to better understand these relationships and develop more effective strategies for reducing aggression through improved emotion regulation.
Tesla Stock Price Forecast Based on ARIMA Model and Machine Learning Techniques
Authors: Shi Haowen
Published: December 2024

One of the most significant aspects of the world economy is the stock market, and the forecasting of stock prices is gaining more and more significant attraction. Under the current international situation, Tesla’s stock price was selected as the research object, and Tesla stock’s open price from July 15, 2020, to July 15, 2024, was chosen as the data set. Auto-Regressive Integrated Moving Average (ARIMA) model and machine learning techniques were taken to forecast the stock price in this paper. Both methods give essentially correct predictions, but there are also some differences between those two methods. The ARIMA model provides statistical trends within a time range, while machine learning techniques provide a stock price prediction that is accurate to the day but has weaker interpretability. By combining the two methods people can get a more accurate forecast of the stock price and then make more informed decisions in the stock market.
Customer Online Purchase Behavior Prediction and Performance Analysis Using Decision Tree and Random Forest
Authors: Zheng Wenjie
Published: December 2024

In the era of online shopping, understanding customer behavior has become increasingly crucial. By analyzing the detailed factors that influence customer actions, businesses can gain deeper insights into their clientele and enhance their targeted marketing strategies. This study investigates the influence of various factors on online customer purchasing frequency using a comprehensive dataset. The research is divided into two phases. Initially, the decision tree and random forest algorithms were utilized to analyze all dataset features, establishing a baseline model and determining feature importance. Subsequently, the second phase delved into the impact of feature count on model efficacy by incrementally eliminating less significant features. The study revealed that a model incorporating half of the features—namely purchase amount, age, review rating, previous purchases, location, color, purchased item, and shipping type—achieved comparable performance to the full-feature model. This streamlined approach not only expedited computation time but also reduced memory usage during the training process, offering valuable insights for businesses to refine their marketing strategies and enhance customer engagement. The findings underscore the potential of data-driven methods to optimize marketing efforts in the e-commerce sector, making a fundament for the future analysis.
The Interaction Effect of Socioeconomic Status and Childhood Psychological Factors on Marital Attitudes
Authors: Wang Jinglei
Published: December 2024

This study investigates how psychological and social factors during childhood influence adult mating strategies and marital attitudes. The research indicates that the quality of parent-child relationships, stability of the family environment, and socioeconomic status (SES) during childhood significantly shape individual personality traits, which in turn affect their social skills, interpersonal relationships, and mate selection criteria in adulthood. Notably, individuals who have experienced psychological abuse may exhibit different mating tendencies and marital attitudes in adulthood 1. These findings underscore the importance of early life experiences on the quality of marital life and provide scientific evidence for individual development, marriage counseling, and policy formulation. However, current research still has limitations, and future studies need to delve deeper into longitudinal research in this field.
Comparison of Tuberculosis and COVID-19 Prevention and Control Policies: A Systematic Review
Authors: Sun Xiangbo
Published: December 2024

mwymwAbstract:Tuberculosis, is a contagious respiratory condition caused by infection with the bacterium Mycobacterium tuberculosis. With the rapid prevalence of COVID-19, the multifaceted public health interventions, including non-pharmaceutical measures have been conducted. Results showed that the public health policies implemented by China during the COVID-19 outbreak have had a positive impact on controlling the development of tuberculosis. This paper explores the interplay between tuberculosis (TB) control and the public health measures implemented during the COVID-19 pandemic in China. It highlights how non-pharmaceutical interventions (NPIs) such as travel restrictions, social distancing, mask-wearing, and early case detection, initially designed to contain COVID-19, also contributed to reducing TB transmission. Additionally, the rapid development of China’s public health infrastructure and the use of digital technologies during the pandemic enhanced TB surveillance, diagnosis, and treatment adherence. Key interventions included electronic patient service systems, digital adherence technologies (DATs), and integrated digital platforms that improved treatment outcomes. However, challenges such as reduced TB notifications during COVID-19 and financial constraints in TB management were identified. The paper emphasizes the importance of policy adaptations, technological innovations, and sustainable healthcare reforms to address TB in a post-pandemic world. China’s experience provides valuable insights for future infectious disease control, demonstrating how coordinated public health strategies can effectively manage multiple health challenges simultaneously.
Study on the Willingness to Consume and Marketing Strategies of Online Game Consumers
Authors: Lin Shize
Published: December 2024

This paper delves into the critical factors influencing players’ willingness to pay in online games, examining the impact of marketing strategies such as season passes, limited-time promotions, loot boxes, and brand collaborations. These strategies have proven effective in driving consumer behavior by fostering greater player engagement, instilling a sense of urgency, and tapping into psychological motivators like fear of missing out (FOMO). However, while such techniques often boost short-term revenue, they can also lead to unintended consequences. For instance, the frequent introduction of new season content, although exciting, may result in player fatigue, diminishing long-term engagement. Additionally, loot boxes have sparked ethical and legal debates due to their resemblance to gambling mechanics, which may negatively affect players’ willingness to pay. Brand collaborations, while lucrative, often lack the personalized touch that resonates deeply with players. To address these challenges, the paper proposes several optimization strategies. Extending season cycles could help mitigate burnout, while increasing transparency in loot box systems may restore player trust. Furthermore, enhancing creativity and personalization in brand collaborations and in-game activities can foster deeper emotional connections with players. By refining these marketing strategies within ethical and legal boundaries, game developers can not only increase revenue but also improve player satisfaction and retention. This study offers valuable insights into balancing profitability with player well-being.
Flexible Thermoelectric Devices from Organic Materials: Recent Advances and Prospects
Authors: Li Yang
Published: December 2024

Organic materials hold considerable promise for thermoelectric applications, particularly in flexible devices, due to their pliable and lightweight nature. Recent progress in this domain has been fueled by enhancements in organic thermoelectric materials and more efficient device designs. This review offers a comprehensive overview of these advancements. It begins by detailing the evolution and performance optimization of high-efficiency organic thermoelectric materials, emphasizing both chemical and physical modifications. The review also delves into innovative design strategies for flexible devices, covering new structural approaches, performance modeling, and thermal management techniques. Moreover, it examines advanced manufacturing processes like 3D printing and thin-film deposition. To highlight global trends and challenges, the review integrates findings from top research institutions. The review projects future breakthroughs in material development, characterization techniques, and device optimization, particularly focusing on advances in materials such as PEDOT:PSS and PANI. It underscores strategies to boost conductivity and the Seebeck coefficient. Remarkably, innovative device designs have substantially enhanced energy conversion efficiency, while numerical simulations have improved output voltage and power density. Furthermore, cutting-edge manufacturing technologies like 3D printing and solution processing have facilitated the scalable production of intricate structures. In summary, these collective advancements drive high-performance, cost-effective, and sustainable thermoelectric technologies for diverse applications, including wearable electronics, energy harvesting, and thermal management.
COVID-19 detection methods: from the clinic to the laboratory
Authors: Wei Kexin
Published: December 2024

Despite the post-epidemic period of COVID-19, systematic summary studies of SARS-CoV-2 are still important to cope with future outbreaks of new coronaviruses. In this paper, we reviewed many different methods for detecting SARS-CoV-2 virus, including nucleic acid, antibody, and antigen detection. The RT-PCR is one kind of the gold standard for SARS-CoV-2 diagnosis and has high specificity and sensitivity. The T-PCR technique also has some limitations due to its own basic principles, such as the possibility of false negatives or false positives. The article also discusses the importance of combining antigen and antibody detection with RT-PCR to complement RT-PCR in diagnosis. In addition, the article describes emerging detection technologies and the latest progress in SARS-CoV-2 detection. Overall, we provide a piece of comprehensive and valuable information for understanding SARS-CoV-2 detection methods, which is important for guiding public health practice and responding to possible new virus outbreaks.
Microplastic and Nanoplastic: Causation, Issues and Solutions
Authors: Liang Xinyu
Published: December 2024

Plastic has been a pressing subject for discussion ever since its invention. It is extremely convenient to use and produce. However, plastic poses increasingly problematic threats to both the health of the environment and the public. Especially for microplastic and nano plastic, which are the byproducts of the degradation of large pieces of plastic. These smaller pieces can infiltrate the bodies of animals and travel up the food chain, detrimentally affecting the ecosystem. Furthermore, when microplastic enters the bodies of humans through food consumption and respiration, it causes an array of health problems. The endocrine system can malfunction due to the harmful chemicals added into plastic present in microplastic. To solve this issue, more policies should be made regarding the treatment of plastic, the amount of plastic produced, and teaching the population about the issues regarding microplastic. This paper provides in depth research regarding the cause of the microplastic pandemic, issues that it can inflict, and potential solutions to combat these problems.
Image Segmentation with Different Scale Convolutional Neural Networks
Authors: Ran Yuming
Published: December 2024

Image segmentation is a crucial task in computer vision and image processing. It is widely used in many necessary fields, such as scene understanding, medical image analysis, robot perception, video surveillance, augmented reality, and image compression. Numerous algorithms for image segmentation have been proposed, demonstrating their unique advantages and limitations in their respective application scenarios. In image processing and pattern recognition, the importance and criticality of image segmentation are self-evident. Its core task is to divide the entire image into several regions with specific meaning and define a category label for each area. In recent years, convolutional neural networks (CNN) have performed well in image segmentation and have become one of the most popular and widely used models. This paper focuses on changing the model scale, which significantly impacts the segmentation results by changing the size of the data set used to train the model. This paper aims to explore the impact of data volume on model performance. For example, will the segmentation results become more accurate as the model scale increases? This paper first created and trained a CNN model using different scales. In each training, this paper trains the model for 50 epochs, which can significantly improve the reliability and accuracy of the experimental results. Next, this paper segments the test image, analyzes the segmentation effect, and further explores the relationship between parameters scale and model performance. This research will provide new ideas and references for optimizing image segmentation.
Exploring Digital Marketing Strategies--The Brand of ARCTERYX
Authors: Zhao Kai
Published: December 2024

With the booming of the digital economy, business marketing strategies are undergoing profound changes, especially in the outdoor sports brand space. This paper takes ARCTERYX as an example to discuss the implementation and effectiveness of its digital marketing strategy. The study begins by defining the concept of digital marketing, emphasizing its data-driven and multi-channel interactive features. Using big digital technology, the brand of ARCTERYX can accurately locate its target audience, analyze consumer behavior, develop individualized marketing strategies, and enhance brand influence. In addition, the ARCTERYX actively utilized social media to create viral marketing campaigns such as the “ARCTERYX Shower Challenge”, which attracted a large amount of attention and created extensive brand communication. Social media not only enhances consumers’ sense of participation but also stimulates a higher interaction rate through the “herd mentality” and promotes brand recognition. Social media not only enhances consumers’ sense of participation but also stimulates a higher interaction rate through the “herd mentality” and promotes brand identity. To sum up, the success of Beginner’s brand lies in the combination of data analysis and consumer psychology, and the brand’s image and sales growth through innovative digital strategy and precise market positioning. This case serves as an important benchmark for other brands to follow in digital marketing and indicates the future direction of marketing.
Application of Cross-cultural Communication in Brand Internationalization: Taking China Element in Italian Jewelry Brand ChuCui Palace as an Example
Authors: Huang Ziling
Published: December 2024

In the era of globalization, cross-cultural communication has become a crucial part of the process of brand internationalization. Among them, because of its long history of deep cultural heritage and unique art form, the Chinese elements have gradually become foreign brands are keen to cross-cultural application of the selection of important materials. By means of interview, this study explores how CHUCUI PALACE, an Italian jewelry brand, successfully integrates Chinese elements into the design of its products in the cross-cultural context, and makes great achievements in the international market, through the analysis of its unique brand concept and mysterious oriental charm, the research results show that the CHUCUI palace innovates the cross-cultural application of Chinese elements by skillfully using the creativity of “Hybridity”, thus endows the brand with deeper cultural connotation and emotional value. This phenomenon is the epitome of the exploration and integration of Oriental aesthetics in the process of brand building of many western jewelry brands. It also shows the foreseeable trend of international brand cultural exchange and artistic innovation in the future.
The Current Distribution of Chinese Athletes with High Commercial Value and the Reasons for Its Formation
Authors: Yu Xiaoxu
Published: December 2024

Although the Paris Olympics ended, the heat of the event has not subsided. The commercial value of athletes has been continuously explored, and the commercial value of athletes plays an important role in driving national economic growth. Using mathematical statistics, literature, and comparative analysis, this paper examines the distribution of the commercial value of Chinese athletes by focusing on three aspects: whether the athletes’ sports are traditional popular sports in the general sense, the degree of professionalization of the athletes’ sports, and the gender of the athletes. The study found that Chinese athletes with high commercial value are concentrated in niche, highly professional, and female sports. The main reason for this is that China’s strength in traditional popular sports is not outstanding, but niche and women’s sports are more reflective of today’s popular pursuit of individuality and national image. This study provides many meaningful benchmarks for future research in this direction, most importantly providing a theoretical basis for the trend that the commercial value of Chinese athletes has gradually shifted from niche events to traditional mass events.
Diffusive Behavior of Pollutants in Soil Environmental Water at the Microscopic Scale
Authors: He Xuxiang
Published: December 2024

With the popularization of organic food and the rise of organic agriculture, the attention to soil safety issues is increasing. This study aims to thoroughly investigate the diffusion behavior of waterborne pollutants and organic contaminants in the soil environment at a microscopic scale and their long-term effects on the soil ecosystem. By establishing multiple soil-water-pollutant variable models and employing molecular dynamics simulation methods, the interaction among soil, water, and organic pollutants was systematically studied. The research findings indicate that, under low concentration conditions, anthracene molecules exhibit a wider diffusion range and stronger diffusion capability compared to naphthalene molecules; whereas under high concentration conditions, the diffusion capability of naphthalene molecules becomes more pronounced. Furthermore, in mixed pollutant systems, a competitive adsorption phenomenon occurs between naphthalene and anthracene, leading to changes in the adsorption selectivity of pollutants on the soil surface, which significantly influences the pollution spreading pathways in soil. Through in-depth research at the microscale, we have not only provided a new perspective for understanding the mechanism of waterborne pollutant diffusion in the soil environment but also laid a scientific foundation for the formulation of future environmental management policies.
Research progress on the hazards and control of water pollution
Authors: Liang Peilin
Published: December 2024

With the development of society, water pollution has become a hot topic and attracted human attention. In this paper, the present situation of water resource pollution and its treatment methods are reviewed. At present, the main sources of water pollution are point sources and non-point sources. In addition, the current main governance methods are ozone treatment, sustainable agriculture and reducing plastic waste, denitrification, and adsorption. The increasing contamination of water sources is causing pure water to become increasingly scarce with each passing day. This passage focuses on the source and hazards of water pollution, the present solution, and the future prospect of water pollution. What’s more, this passage hopes that more people will know the dangers caused by water pollution. Also, let people learn some solutions to water pollution. This paper can effectively promote the development of water pollution control through the summary and discussion of the current research on water pollution control.
Causal Discovery in Diabetes and its Complications
Authors: Pan Xiaohan
Published: December 2024

Although previous studies have demonstrated that diabetes and its complications and other factors have high correlation, there is a lack of research using data-driven techniques to infer causality in this field. In this research, causal discovery is used to deal with a purified dataset containing 70,692 survey responses from the CDC’s BRFSS 2015, provided on Kaggle. The final causal graph result obtained through causal discovery strongly aligns with the theory of metabolic syndrome. The findings indicate that abdominal obesity is a leading factor in the development of diabetes and hypertension, and this causal relationship is strong. Hyperglycemia significantly leads to both hypertension and hyperlipidemia, while hypertension also markedly exacerbates dyslipidemia. There is a strong causal relationship between each pair of these conditions. hyperglycemia, hypertension, and hyperlipidemia contribute to the development of cardiovascular disease, with a moderate strength of causal relationship; hyperglycemia, hypertension, and hyperlipidemia all contribute to the development of stroke, with a weak strength of causal relationship. Cardiovascular disease leads to stroke with a weak strength of causal relationship. Aging is strongly causally linked to hyperlipidemia, while its causal relationship with cardiovascular disease is moderate. Using these understandings of the causal relationships between diabetes and its complications and other factors, the author can enhance the health status and quality of life of patients with diabetes on multiple levels by implementing precise prevention strategies, optimizing treatment options, reducing healthcare costs, and improving public health policies.
America Treasury Yields and Economic Indicators: A Multivariate Linear Regression Analysis
Authors: Zhao Yikai
Published: December 2024

This article provides a comprehensive analysis by employing multivariate linear regression to examine the intricate relationship between U.S. Treasury yields and several crucial economic indicators, with a particular focus on the year-over-year growth rate of the Consumer Price Index (CPI) and the size of the Federal Reserve’s balance sheet. The research spans a decade, analyzing data from 2014 to 2024, offering a robust time frame to evaluate long-term trends. The primary goal of the research is to identify how these economic factors influence Treasury yields, which are key indicators for understanding government borrowing costs and broader financial conditions. In particular, Treasury yields are crucial for determining the cost of financing public debt, while the CPI growth rate serves as a reliable measure of inflation, and the Federal Reserve’s balance sheet reflects its monetary policy stance. By investigating these relationships, the research aims to provide valuable insights for policymakers, investors, and financial analysts into how inflationary pressures and monetary policy actions interact to shape financial markets, potentially affecting investment strategies and economic decision-making. These findings offer actionable knowledge for managing economic risks and opportunities.
Predicting Stock Market Trends and Analyzing Daily Returns Using Statistical Modeling: A Case Study on Google Stock
Authors: Chang Leying
Published: December 2024

A key component of financial planning is stock market forecasting, which assists investors in choosing how to allocate their assets and manage their risk. In particular, Auto Regressive Integrated Moving Average (ARIMA) and linear regression are two statistical and mathematical models that are being evaluated for their predictive power in relation to daily returns and stock prices. Accurate forecasting is difficult due to the inherent volatility and unpredictability of financial markets, which highlights the necessity for reliable models. To ensure accurate predictions, the methodology consists of data preprocessing, model implementation, and diagnostic assessments. Results indicate that the ARIMA model effectively captures long-term trends in stock prices, making it suitable for general forecasting. However, the linear regression model exhibits inconsistent performance when predicting daily returns, especially during periods of high volatility, as evidenced by increased residual errors. This research highlights the importance of selecting appropriate predictive models and integrating advanced techniques to enhance accuracy. The findings provide valuable insights into improving financial forecasting practices, ultimately contributing to better decision-making in investment strategies.