bluuebunny/crossref_metadata_2025 huggingface dataset:
The Regulatory Role of Nutrients in Muscle Protein Synthesis (MPS) and Muscle Protein Breakdown (MPB) with Resistance Exercise
Authors: Han Jinchen
Published: October 2024

With the improvement of living standards nowadays, the body’s health and physique have become a popular topic; the growth, maintenance, and health of muscles are achieved through the key process of muscle protein synthesis (MPS) and muscle protein breakdown (MPB). This paper discusses the important regulatory roles of macronutrients, amino acids, hormones, micronutrients, and vitamins in MPS and MPB, especially in the context of resistance exercise. Through a large review of the existing literature on the relationships between various nutrients and resistance exercise and muscle, this paper summarizes the complex interactions between all these nutrients and resistance exercise. This paper aims to provide comprehensive insights into the optimization of muscle hypertrophy and reduction of muscle atrophy, including an in-depth discussion of the importance of macronutrient intake during resistance exercise, the important role of amino acids, especially leucine, the associated effects of hormones such as insulin and testosterone, and the best timing and methods for the intake of these nutrients. This review demonstrates the indispensability and complementarity of each nutrient for muscle growth and building, provides practical advice for athletes such as powerlifters and bodybuilders, the declining elderly, and individuals seeking to enhance muscle health, fills existing research gaps, and provides valuable insights into the nutritional regulation of muscle protein metabolism.
Douyin—— the leading application in short video in the next decade
Authors: Huang Yuantianxin
Published: October 2024

In recent years, along with the comprehensive innovation of communication technology, new media has also achieved rapid development and gradually penetrated into various fields. According to the 48th Statistical Report on the Development of the Internet in China released by the China Internet Network Information Center, as of June 2021, the number of Internet users in China has reached 1.011 billion, of which 888 million are short video users, accounting for 87.8% of the total Internet users. According to the survey results of the products most commonly used by short video users from 2020 to 2021, Douyin ranked first with 45.2%. As one of the emerging social media, Douyin short video APP is different from the previous simple graphic social, but the combination of music, special effects and video, so as to closely connect users of different ages, industries and identities. Based on this, this paper will discuss the possibility of Douyin platform to achieve fine operation and further expand market share by optimizing user generated content (UGC) model and analyzing the personality and commonality of audience psychology.
The Investigation of Hyperparameters Influence on Fruit and Vegetable Image Recognition Performance Using SVM
Authors: Chen Liang
Published: October 2024

This study aims to improve the efficiency of automatic classification and quality control of fruits and vegetables through image recognition technology, to achieve efficient and accurate intelligent sorting in agricultural production, reduce labor costs and improve market competitiveness. A high-quality image dataset of 36 fruit and vegetable categories from Kaggle is used in this study. The images in the dataset have been preprocessed to ensure that the data is suitable for the classification task and sets the stage for efficient training and evaluation of the model. Logistic regression was first used as the baseline model in order to compare the performance with the Support Vector Machine (SVM) model. Subsequently, hyperparameter tuning is performed to optimize the model to achieve the best cross-validation accuracy. Next, the SVM model is trained with the selected hyperparameters, and the training time is recorded. The performance of the model was evaluated in detail by confusion matrix and classification reports, and the test set was used for final validation to ensure that the model would also perform well on unseen data. The SVM model achieves an accuracy of 96% on both validation and test sets, which is a very good performance. The hyperparameters optimized by GridSearchCV (C = 10, gamma = 0.1, kernel = rbf) effectively improve the performance of the model, verifying that reasonable hyperparameter selection is crucial to the SVM model. These results show that the model has good generalization ability and potential to be applied to real-time classification tasks.
The Creative Concept and Practical Expression of “Mythorealism”——Taking Yan Lianke’s Series of Novels “PaLou” as an Example
Authors: Zhu Yiyao
Published: October 2024

Yan Lianke is one of the most influential writers in contemporary Chinese literature. In recent years, Yan Lianke’s creative concept of “Mythorealism” has attracted the attention of many scholars. The creative concept of “Mythorealism” advocates abandoning rigid logic and pursuing “non-existent truth, invisible truth, and truth concealed by truth” in order to achieve true social reality. Its “Palou series” novels, rooted in the PaLou Mountains of Henan, particularly demonstrate Yan Lianke’s exploration of his “Mythorealism” creative philosophy, and are also a powerful practical expression of Yan Lianke’s “Mythorealism” literary view. This article attempts to analyze the literary content and creative techniques of Yan Lianke’s “Palou” series of novels from the perspective of “Mythorealism”, and explore the value and limitations of novel creation under the guidance of the “Mythorealism” creative concept. This content has accumulated useful experience for Chinese realism creation and has positive significance for re-examining Yan Lianke and contemporary Chinese realism creation.
H2A algorithm and moving obstacle avoidance based on A* Algorithm
Authors: Ma Fulin , Yan Binyu , Li Hanyan
Published: October 2024

The A* algorithm is widely used in the field of path planning for autonomous mobile robots. However, A* is a simple algorithm that cannot avoid moving obstacles. One of our research directions is to realize dynamic obstacle avoidance, which is based on A* algorithm. At the same time, we found that the A* algorithm is computationally inefficient. In contrast, the emerging nature-inspired algorithm outperforms the classical algorithm because of the reduced computational overhead. The nature-inspired algorithm is one of the most common heuristic algorithms. We reproduce a near-optimal algorithm that considers a single UGV approximate optimal path planning algorithm for obstacle avoidance in static environments. The algorithm uses two heuristic values, hence the name H2A (double heuristic algorithm). Our goal is to try to be able to avoid two moving obstacles at a time, the performance of the proposed algorithm is compared with the performance of the A* algorithm.
The Allocation of Educational Resources in the Face of Socioeconomic Factors in China
Authors: Wang Shuoxin
Published: October 2024

China’s rapid economic development has led to significant improvements in its education system, contributing to a reduction in educational inequalities. However, this progress has been unevenly distributed, with a disproportionate focus on urban metropolitan areas, leaving rural regions underfunded and underserved. Despite efforts to universalize nine-year compulsory education, those disadvantaged students coming from rural areas or remote regions of China continue to face substantial challenges in comparison to their urban counterparts. Through time series analysis with Theil index model, it can be used to analyze and study the change of urban and rural income and its potential impact on education distribution. This paper highlights that the problems in allocation of educational resources between urban-rural area still exist. To address these disparities, several strategies could be implemented, including financial investment, developing aid-programs, and expanding educational facilities in rural areas. This research contributes to the broader literature on educational inequality in China, offering guidance for future investment strategies to address these persistent disparities.
Protection of Women’s Rights in Workplace Sexual Harassment
Authors: Gui Mengyang
Published: October 2024

In contemporary society, the impact of workplace sexual harassment on women is increasingly drawing attention. This paper, focusing on the study of workplace sexual harassment issues in China, aims to explore the current state of legal protections for women and the corresponding measures. The study utilizes regulative analysis and case study methods to examine the drawbacks and limitations of the legal framework in practical application, revealing deficiencies in safeguarding women’s rights. The research finds that despite some legislation in China specifying the legal consequences of sexual harassment, the legislation lacks specificity and sufficient protection for women in its implementation. Therefore, this paper aims to provide theoretical support and policy recommendations to enhance the legal framework for preventing and addressing workplace sexual harassment, thereby promoting gender equality and a healthier workplace environment.
Graphitic Carbon Nitride Based Semiconductors and Their Applications in the Field of Photocatalysis
Authors: Li Yitong
Published: October 2024

An increasing number of advanced semiconductor materials have been reported with the progress of theoretical and practical researches. The graphitic carbon nitride (g-C3N4) stands out as a highly promising semiconductor photocatalyst. It is known for its visible-light reaction and good chemical stability, indicating its potential for extensive use in photocatalysis. Recently, rapid progress has been made in researching g-C3N4-based semiconductor substances in photocatalysis. Till now, a large amount of work has focused on the applications of g-C3N4 in photocatalysis. This work focuses on those researches concerning with g-C3N4-based photocatalytic substances. Their structural characteristics, synthesis techniques, and efficiency enhancement are discussed in detail. Besides, their applications in different photocatalytic reactions are also highlighted. These reactions include hydrogen production by water decomposition, degradation of organic matter, carbon dioxide reduction, and photocatalytic bactericide. This article also points out the problems and challenges in the photocatalytic performance. Meanwhile, the stability of g-C3N4 is also highlighted. It also puts forward the promising research directions of g-C3N4 in the field of photocatalysis.
Research on Chip Manufacturing and Fault Detection Technology
Authors: Chen Changyu
Published: October 2024

In the wave of the digital era, the chip plays a key role in promoting the whole information technology revolution with its core position in the development of world science and technology. As the cornerstone of computing and data processing, the development of chips has promoted the progress of the entire technology field. The chip’s manufacturing is the key to determining the performance and computing power of the whole chip, and fault detection technology in the production process is an important part of determining the product’s quality and cost. Therefore, under the background of Moore’s law approaching the physical limit, how to ensure the yield of chip production while continuing to improve chip performance has become a major challenge for the chip manufacturing industry. Based on this, this paper summarizes the key manufacturing steps of the chip. The chip manufacturing technology is comprehensively sorted from design to silicon wafer manufacturing, photolithography, etching, ion implantation, and other processes. At the same time, the research direction of monocrystalline silicon manufacturing technology and the existing lithography technology are introduced, including optical lithography, extreme ultraviolet lithography, electron beam lithography, and so on. Fault detection technology in chip production has also been introduced. In addition, the chip manufacturing and fault detection technology introduced in this paper is summarized and its future development is prospected, which provides reference and inspiration for promoting the continuous progress of chip technology.
Market Volatility from a linear Perspective: Trend Forecasting for Business and stock movements Author’s Information
Authors: Liu Haibin
Published: October 2024

lives. From the simplest transactions such as buying groceries to the complex mechanisms of global markets, finance touches almost every aspect of our economic interactions. The term “finance” emerged at the end of the nineteenth century and became increasingly important as economies developed and expanded. A key element of finance is the technical analysis of stocks, an indispensable practice for financial experts and investors. The method uses historical data and statistical techniques to forecast market trends. By scrutinizing past price movements and trading volumes, technical analysts can uncover patterns and signals that guide strategic decisions, risk management, and portfolio optimization. This analytical approach helps not only in identifying market trends, but also in identifying key support and resistance levels, which are essential for effective trading timing. Therefore, technical analysis is a powerful tool that enables investors to deal with the complexity of financial markets with greater confidence and accuracy.
The Two-Way Impact of Generation and Digital Platforms --An Example of Generation X/Y/Z
Authors: Chen Zhiyi , Wang Weizi , Liu Mingyang , Li Zimu
Published: October 2024

This paper explores the intricate interplay between digital platforms and generational preferences, focusing on how social media platforms shape the preferences and behaviors of users across Generation X, Y, and Z in both China and the United States, respectively. By conducting a SWOT analysis and comparing the usage patterns and characteristics of these generations, the study aims to unravel the factors that contribute to the dominance of specific social media platforms within each generation. The analysis draws on empirical data from multiple sources, including statistical reports from the China Internet Network Information Center (CNNIC), and industry websites such as Statista and HubSpot. By quantifying user behaviors and analyzing the evolution of digital platforms, the paper reveals that each generation’s dominant platform reflects its unique characteristics, shaped by their social, historical, and technological contexts. Furthermore, the study highlights the bidirectional influence between generations and digital platforms, with platforms adapting their mechanisms and content to cater to users’ proclivities, while users, in turn, are molded by the information they consume. Overall, this paper contributes to the understanding of how generational differences intersect with digital marketing strategies, offering insights into the competitive advantages that propel certain platforms to become the favorites of their respective generations.
The Influence of Curatorial Art on Visual Art
Authors: Shu Yi
Published: October 2024

As time progressed and societal structures underwent transformation, there was a notable increase in interest in the memories encapsulated by objects. This resulted in a significant increase in the development and popularity of museums and art exhibitions, which in turn gave rise to a multitude of innovative spatial art forms, and the term “curation” was born. This research program examines the impact of the curatorial space on the visual presentation of artworks and its role in the visual arts as a whole. This is achieved using an analysis of several specific cases. Moreover, it demonstrates the evolution and advancement of the utilisation of curatorial space for the presentation of artworks. The concept of curatorial space is both flexible and complex, with implications for both the visual arts and their presentation. The utilisation of new media and technology in curatorial environments has been demonstrated to offer several advantages over physical curation. These include enhanced accessibility, flexibility, and the capacity to reach a broader audience. Consequently, curators and artists are presented with the chance to interact with audiences and cultivate innovative artistic practices and prospects in the domain of digital media and technology.
Policy Information Communication in Shanghai’s 15-Minute Community Living Circle--Taking Jing’an District as an Example
Authors: Zhang Yingyao
Published: October 2024

This paper examines the communication strategies of the “15-minute community life circles” policy in Shanghai Jing’an District. The study highlights the critical role of effective information dissemination in fostering public understanding and engagement with the policy. Analyzing current communication channels, including online platforms such as WeChat and Weibo, the paper identifies key challenges such as inadequate coverage, low public awareness, and insufficient interaction between policy content and residents’ daily lives. The paper also critiques the reliance on traditional media, which may not effectively reach younger demographics. Recommendations are provided to enhance the policy’s communication, including diversifying media channels, tailoring content to specific audience segments, and integrating more interactive and relatable narratives. By improving these aspects, the policy can better achieve its goal of creating sustainable, well-connected communities that meet the needs of all residents. This study underscores the importance of adaptive and responsive communication strategies in the successful implementation of public policies.
The influence of plant genomics on plant evolution
Authors: Liu Fengsong
Published: October 2024

With the increasing demand for high-quality tea, the genetic basis of ideal traits of tea plants has been widely concerned. The research on tea tree genomics, specifically focusing on “Longjing 43”, provides significant insights into plant evolution and breeding. “Longjing 43” was chosen due to its complex genome and economic importance. The study successfully assembled its genome to the chromosome level, revealing a large and heterogeneous genome with numerous repetitive sequences. Comparative genomics showed that hybridization has been a key driver of genetic diversity and adaptability in tea plants. These findings are crucial for developing marker-assisted selection (MAS) techniques, improving traits such as disease resistance, flavor, and stress response. Moreover, the research underscores the role of tea tree genomics in preserving cultural heritage and promoting economic benefits through enhanced tea quality. This study contributes to the broader understanding of plant genomics by illustrating the evolutionary processes and potential applications in agriculture, conservation, and industry, thus offering a comprehensive tool for future plant breeding and genetic improvement strategies.
Romance and Worries: AI Partners and Young Adults’ Emotional Relationships
Authors: Niu Zixuan
Published: October 2024

With the rapid development of science and technology, AI artificial intelligence has been comprehensively developed and penetrated into every corner of life. With the emergence of updated human-computer interaction products, AI partners gradually enter people’s daily lives and becoming more and more popular among the younger demographics. Aiming to clarify the emotional relationship between young adults and their AI partners, this study takes adolescents as research subjects and uses online observation and literature research methods. Research has found that young adults’ emotional interactions with AI partners can have a dual impact. Using an AI partner wisely, they can gain positive psychological comfort, get rid of emotional loneliness, and improve social skills. Yet, over-indulgence in the world of AI partners can also negatively affect young adults’ growth, leading to disappointment in the real world and disclosure of their personal privacy. In order to maximize the positive effects of AI and prevent over dependence, this study suggests promoting the technological upgrading of the AI industry, emphasizing the guidance of family education, and strengthening legal regulation, so as to promote the scientific use of AI partners and social harmonious development together. Moreover, this research can make people further understand the field of AI emotional communication, let people have more tolerance for users, and make this way of communication further into people’s lives.
Status, Challenges and Prospects of Policies Related to the Green Economy
Authors: Jiang Linfeng
Published: October 2024

Amidst the backdrop of globalization, the international community has increasingly focused on green economy policies, recognizing them as crucial instruments for advancing sustainable development. With the green and low-carbon transformation of the global industrial chain supply chain, the green economy and trade have become an important symbol for measuring the trade competitiveness of a country or region. Green economy policies are not only related to the process of global environmental governance but also have a direct impact on the green transformation of countries’ economic landscapes and the reshaping of international competitiveness. Amid escalating environmental challenges, the concern over leveraging green economic policies to foster harmonious economic and environmental development has emerged as a significant matter for governmental and international entities. This paper will focus on analyzing the relevant theories of the green economy, the status of its development, and the challenges it is currently facing. By analyzing the different cases of developed and developing countries in promoting the development of a green economy, we will take an in-depth look at the bottlenecks in the development of a green economy and the prospects for its future development, and reveal the specific challenges faced by different countries, as well as the innovative strategies they have adopted in promoting environmental sustainability and economic growth.
Adolescent Autonomy and Family Authority: A Bedtime Negotiation Based Perspective
Authors: Sun Xiangyuan
Published: October 2024

For adolescents, consultation with their parents about bedtime is an awareness of personal autonomy and an understanding of legal norms and the relationship between authority and the governed. The article analyzes the difference between the ideal bedtime and real-life flexibility, emphasizing parents’ adaptability in rule-setting and respect for children’s autonomy. At the same time, the protection of children’s rights under international law and the different definitions of children in various cultural and legal contexts were emphasized. The article’s conclusion shows that, given the specific circumstances of each adolescent and the uniqueness of the family environment, it is impossible to prescribe a fixed bedtime suitable for all adolescents simply. This conclusion underscores the need to consider individual differences and practical life needs when setting family rules, as well as the importance of maintaining family order while respecting children’s autonomy.
Tesla’s Strategic Growth and Challenges in the Chinese Electric Vehicle Market
Authors: Cao Jing
Published: October 2024

In recent years, the global focus on environmental protection and sustainable development has led to the rapid growth of the electric vehicle (EV) industry, with Tesla emerging as a global leader. Particularly in China, the world’s largest automotive market, Tesla’s performance has been remarkable. This study focuses on Tesla’s development in the Chinese market, exploring its strategic decisions, challenges, and competitive environment. Through a combination of policy analysis, market research, and competitive benchmarking, this study examines Tesla’s market entry strategies, the impact of government support for new energy vehicles (NEVs), and the challenges posed by local competitors and regulatory constraints. The study concludes that Tesla’s success in China is largely attributed to its brand strength, technological innovation, and localized production through the Shanghai Gigafactory. However, it faces significant challenges, including competition from domestic NEV manufacturers, regulatory complexities, and geopolitical tensions. To maintain its competitive advantage, Tesla must continue to innovate, localize its products, and adapt to an evolving political and market environment.
Integrating Fintech-Driven Technical Analysis into Value Investing: A Study of Moving Averages in Cryptocurrency Market Dynamics
Authors: Dai Chunyu(Charles)
Published: October 2024

This research explores the application of fintech-driven technical analysis, specifically focusing on moving averages within value investing. Using Coinbase as a case study, the study examines the effectiveness of moving averages in volatile market conditions where traditional metrics are less applicable. Historical stock data was exported from Yahoo Finance and analyzed using Excel, emphasizing the 30 vs. 10 moving average combination. This combination was chosen to balance short-term and long-term market perspectives. The analysis revealed that while moving averages effectively highlight trends and momentum shifts, they are lagging indicators and require supplementary analysis to account for external factors such as news and regulatory changes. Despite not being a precise predictive tool, moving averages provided valuable insights into market behavior, supporting the argument that fintech tools can complement traditional value investing strategies by offering real-time analysis and dynamic approaches to market assessment.
The Impact of Posting and Viewing Selfies on Social Media on Self-Identity: A Case Study of xiaohongshu
Authors: Jiao Xizhi
Published: October 2024

The emergence of new social media platforms has significantly influenced adolescent mental health through their engagement in selfie-related behaviours. This paper uses xiaohongshu as a research platform to explore the impact of users’ selfie-related behaviour on their body satisfaction and self-identity on social media. This study employed a questionnaire-based survey to examine 60 xiaohongshu users, aged 19-59, utilizing the selfie-posting frequency scale, self-viewing scale, verbal commentary on physical appearance Scale, body Image states scale, and body surveillance subscale. The results show that selfie editing and posting, selfie viewing, and positive appearance-related commentary positively affect body satisfaction, while negative appearance-related commentary negatively affect body satisfaction. There is no statistically significant association identified between body satisfaction and self-objectification. Adolescents’ psychological issues are influenced, in part, by their selfie-related activities within social networking environments. However, a mindful and rational engagement with these platforms can foster self-identity and contribute to the positive development of youth mental health.
Factors Contributing to the Success of iPhone in the Chinese Market and Competitive Strategies
Authors: Ran Weizhe
Published: October 2024

As one of the largest smartphone markets in the world, China’s huge market demand makes it an important player. Since entering the Chinese market, the iPhone has won a wide user base with its high-end brand image and innovative technology. The study focuses on analyzing the factors that have contributed to Apple’s success in the Chinese market, including brand building, product innovation, marketing strategies, and user experience. It also explores how Apple’s competitive strategies have helped it stand out in a fiercely competitive market environment. The study employs a combination of quantitative and qualitative research methods. By analyzing market data, conducting consumer surveys, and conducting market research, the study evaluates Apple’s performance and consumer preferences in the Chinese market, and explores Apple’s competitive strategies and market positioning. We found that Apple’s success in the Chinese market is mainly due to its strong brand effect, continuous technological innovation, precise market positioning, and effective marketing strategies. Apple has won the recognition of Chinese consumers with its high-quality products and excellent user experience. At the same time, it has successfully addressed competition pressure through differentiated competition strategies and the establishment of a unique ecosystem.
The Impact of E-commerce Live Streaming on Consumer Decision-Making: A Case Study of Taobao
Authors: Yan Xiaohong
Published: October 2024

This study examines the impact of e-commerce live streaming on consumer decision-making, focusing on the role of head anchors, represented by Taobao anchor Li Jiaqi. Driven by external factors such as technological innovation, market competition, and epidemics, live e-commerce broadcasting has rapidly risen and changed traditional shopping. This study first describes the technological basis of e-commerce live streaming, including the support of real-time interaction and personalized recommendation by 5G network and artificial intelligence. Subsequently, it analyzes how consumer engagement, interactivity, and anchor influence in e-commerce live streaming affect consumer behavior in the stages of awareness, consideration, purchase decision, and experience. Taking Li Jiaqi as an example, the role of anchors in enhancing users’ trust, accelerating purchase decisions, and fostering consumer loyalty is investigated. This study summarizes the future trends of e-commerce live streaming, including the impact of multi-platform layout and improved content quality on the industry ecology.
Business analysis and investment recommendation of Nike Corp
Authors: Sun Xiaorui
Published: October 2024

With the development of the economy, people’s demand for their health and leisure activities is constantly increasing, which provides many opportunities for Nike’s international development. However, the fierce competition of competitors and the turbulence of the financial market have caused a certain negative impact on it. The study aims to focus on the brand’s competitiveness in the market, business model and development strategy to evaluate whether it has the potential for sustainable development in today’s market. The method mainly comes from some Nike stocks and analyses the revenue data. The data sources are mainly financial data, market data and consumer data. After this preliminary analysis and data collection, this research will write out the performance of the company, which will be reflected by brand influence, brand management and product innovation. Finally, some relevant investment suggestions will be given in the later paragraph of the article, which are generally divided into long-term, short-term and diversified investments.
Transgenerational Epigenetic Inheritance Through miR-212/132 Expression Alterations Induced by Environmental Stress
Authors: Wang Hanlin
Published: October 2024

Transgenerational epigenetic inheritance studies suggest that environmental stress can have lasting effects across generations. It proposes the hypothesis that the expression changes of miRNA-212/132 induced by environmental stress will lead to transgenerational epigenetic inheritance. The validity of this hypothesis is demonstrated through experimental behavior changes, RNA expression differences, nucleotide change experiments, and qRT-PCR analysis, and the influence of environmental stress between generations is confirmed again. This will facilitate the application of relevant practical aspects in the future.
Deductions, Applications and Expansion of the Cauchy’s Residue Theorem
Authors: Li Hongyi
Published: October 2024

Cauchy’s integral formula is one of the most important discovery in the development history of the complex variable integration. This article focuses on the methods of the integration in mathematics. The author aims to write about how to deduce the residue theorem from Cauchy’s integral formula and how to use the Cauchy’s integral theorem and residue theorem in the integral questions. The following parts of the article include using method of limits and Euler’s formula to deduce roughly the Cauchy’s Integral formula. In addition, the author also uses the differentiation to transfer the integral function. In part three, the author calculates three different types of examples and considers that residue theorem and Cauchy’s integral formula are very useful in the contour integral with singularities. The article is in order to show that the practicability of these theorem and formula. These formulas and theorems are used in a wide range of the subjects and areas.
Epigenetic Inheritance and Environmental Stress: The Role of miR-212/132 in Transgenerational Behavioral
Authors: Gu Jingzhi
Published: October 2024

This study examines the impact of parental stress on offspring behavior, focusing on the miR212/132 gene in mice. Behavioral tests and genetic experiments, including RNA analysis and CRISPR-Cas9 editing, reveal significant behavioral changes in offspring from stressed parents. The miR212/132 gene plays a key role in these changes, offering insights into how stress affects future generations.
Investigating the Impact of Film and TV Scenes on Adolescents’ Attitudes towards Love: A Case Study of Character Image Construction
Authors: Liu Yanxin
Published: October 2024

With the widespread influence of movies, many young individuals have sought inspiration for romantic love from television and film. A healthy perspective on love is essential for the development of adolescents. This research employs semiotic analysis of the TV series Empresses in the Palace to investigate the views on love held by the female protagonist Zhen Huan and male protagonist Guo Jun Wang, as well as their potential impact on young viewers. The findings indicate that Zhen Huan and Guo Jun Wang’s romantic relationship aligns with numerous criteria advocated by contemporary psychology for nurturing intimate relationships. Notably, Guo Jun Wang’s character stands out for providing Zhen Huan with nurturing and healing rather than a transformative, dominant assistance that could completely alter her life. In contrast to traditional portrayals in most TV shows and films where women play supporting roles in romantic relationships, Empresses in the Palace presents audiences with a distinctly male character, challenging gender stereotypes and demonstrating that women can also exhibit clarity, independence, rationality, and control within romantic partnerships. This study encourages future television and film productions to diversify character representations and introduce fresh perspectives to audiences.
Research on the Progress of Modulation Technology and Data Transmission Technology in Underwater Wireless Optical Communication
Authors: Guo Yilei
Published: October 2024

Recently, as an efficient data transmission method, underwater wireless optical communication has become one of the key research topics in the fields of military communication and underwater surveillance. Modulation technology and technology in the transmission process play a key role in the UWOC system, which directly affects the performance, accuracy and safety of the system. The advanced modulation techniques from Intensity Modulation (IM), Pulse Modulation, Quadrature Amplitude Modulation (QAM), and Quadrature Phase Shift Keying (QPSK) to the combination of multiple modulation techniques, as well as the development process of modulation technology in optical encryption, are summarized in this paper. In terms of data transmission technology, the technological progress process from simplex to full-duplex communication is summarized. Finally, a reference solution is proposed to solve the challenges in realizing the underwater communication goals of long-distance, high-speed, low-bit error rate, and large-capacity underwater communication at the same time, and future development is prospected.
The Exploration of Protein Therapies for the Alzheimers Disease
Authors: Zhou Yuxin
Published: October 2024

Alzheimer’s disease (AD) is a global puzzle that first appeared in 1901, the number of patients with AD is soaring all over the world these years. While various mechanisms were proposed, such as Aβ cascade hypothesis, the results were still dissatisfactory, and they all seem to be implicated in each other. Until now, only two kinds of medicines are allowed to treat AD by the FDA, but they are not capable of achieving therapeutic effects. New attention is paid to the treatment options for lipids. This paper analyzes references about cholesterol homeostasis and transport in the brain, finding that an excellent curative effect can emerge by intraperitoneal injection of CS-6253 to raise the level of lipidation of APOE 4, which can provide the references on protein therapies and lipids mechanism for AD, promoting the proceeding of AD study. Nevertheless, the topic that make CS-6253 cross the BBB and perform effectively in the human body have not been tackled, further studies can be biased toward this aspect.
Fruit and Vegetable Image Recognition Based on Multiple Tree Models: Applications of Random Forest, XGBoost and Decision Tree
Authors: Wang Zihao
Published: October 2024

The primary objective of this study is to evaluate and compare the performance of three machine learning models— Random Forest, XGBoost, and Decision Tree—in the context of fruit and vegetable image classification. This research aims to identify which model best handles the challenges associated with imbalanced datasets and complex data structures. The ultimate goal is to contribute to the development of more efficient and accurate automated systems for agricultural applications, thereby improving productivity and reducing operational costs in the industry. This study utilized a dataset of 3,825 images covering 36 fruit and vegetable classes. Images were resized, normalized, and augmented to enhance diversity. Three models—Random Forest, XGBoost, and Decision Tree—were trained on this dataset. Performance was evaluated using accuracy, precision, recall, and F1-score to assess classification effectiveness and handling of class imbalances. The evaluation revealed that XGBoost outperformed Random Forest and Decision Tree in fruit and vegetable image classification, achieving the highest accuracy of 96.66%. XGBoost demonstrated superior handling of class imbalances and complex data structures, reflected in its precision and recall scores across various classes. Random Forest also performed well, closely following XGBoost, while Decision Tree exhibited more variability in results, indicating potential overfitting in certain classes. In conclusion, this study highlights the effectiveness of ensemble methods, particularly XGBoost, in agricultural image classification tasks. These findings suggest that XGBoost is a robust model for similar applications, offering improved accuracy and reliability
Research on the Operation Status and Development Strategy of Wechat Public Account
Authors: Qin Ziyu
Published: October 2024

With the continuous development and progress of global science and technology, the demand of users is increasing, and Wechat, as an important information exchange platform, plays an indispensable role in daily communication and communication. The Wechat public account, one of its main functions, plays a major advantage in disseminating information and providing facilitation services. However, how to create a fair public account environment so that each content production subject achieves satisfactory communication effects needs to be further studied. This paper studies the operation status and development strategy of Wechat public accounts. By searching and reading relevant materials and literature, it comprehensively analyzes the content production characteristics of different types of Wechat public accounts and finds that the development of science and technology and the needs of users are the main factors that promote the rapid development of Wechat public accounts. It is characterized by diversity of content and subject, fragmentation of content production, low publicity cost and high communication efficiency, accurate positioning of users, and secondary transmission. However, there are still many problems in the operation of Wechat public accounts, such as insufficient attention from content producers, homogeneity and vulgar content, irregular time of content release, fan conversion rate, and insufficient user loyalty. Content producers can win better communication effects by releasing high-quality content, enhancing user loyalty, expanding the dissemination scope by secondary communication, and using Wechat public accounts for product marketing in multiple ways.
Research on the reasons and ways that successful entrepreneurs benefit society
Authors: Wang Ziqian
Published: October 2024

Successful entrepreneurs such as Warren Buffett and Jack Ma have built thriving businesses and donated a portion of their earnings to charitable organizations that promote education, health care, and the environment. This paper first theoretically explores how successful business people benefit society by making and spending money. Then, this paper takes Chinese listed companies that have generated positive accounting profits in the past three years as samples to explore the relationship between environmental investment and intangible assets of listed companies and empirically verifies whether CEOs increase CSR investment out of strategic motives. Regression results show that when environmental investment increases by 1%, intangible assets of listed companies increase by 0.053%, indicating that CEOs may benefit others strategically to maximize the wealth of stakeholders and increase profits. Therefore, this paper finally draws the conclusion that successful business people not only make a positive contribution to society but also benefit the whole society. They fulfill their social responsibility by supporting global health, development, and sustainability programs, and the modern economy is critical to incentivizing this philanthropy.
Causes and Effects of Waithood and Youth Mobility: Comparing the Youth in South Korea and the Middle East
Authors: Deng Tingfu
Published: October 2024

Waithood, as a social phenomenon, has emerged in this complex, contentious, and uneven global political-economic environment. This paper discusses the phenomenon of waithood faced by youth in Egypt and South Korea. Waithood describes the inability of young people to achieve true economic or social independence at the expected age, resulting in restricted social mobility. This period is often viewed as “waiting for adulthood.” Through a comparative study, this research systematically elucidates the specific manifestations of waithood among Egyptian and Korean youth. Economically, they struggle to find suitable formal employment and are heavily involved in informal activities. Politically, they express their political demands and participate in political activities in various ways within their respective countries. Additionally, this study examines and compares the causes of waithood in both nations, identifying commonalities. Based on these findings, the paper proposes relatively feasible policy recommendations to mitigate the waithood phenomenon, offering insights for future research.
Life and Death in Yu Hua’s Novels——Taking To Live and The Seventh Day as Examples
Authors: He Ruihan
Published: October 2024

Yu Hua’s works have consistently excelled in exploring the fundamental meaning of life within tales of hardship and tragedy. Through a series of books such as To Live and The Seventh Day, Yu Hua has crafted multiple tragic stories featuring characters from different historical periods and with diverse personalities, thereby expressing his unique perspectives on life and death. The existing studies mostly analyze the life and death plot in isolation and lack an analysis of the influence of traditional culture on the formation of their concepts. This paper will take the original texts of the novels To Live and The Seventh Day as the basis, and use the method of textual analysis to analyze the views of life and death in the novels. Through the study, it is found that Yu Hua’s works present a unique new style of death aesthetics and life philosophy concepts. Through the research, it is discovered that Yu Hua’s works exhibit a unique new aesthetic of death and philosophy of existence. Yu Hua, a trailblazer in avant-garde literature, integrates traditional views on life and death with contemporary societal concerns. Through an exploration of the fragility of human physiology and the resilience of the human spirit, Yu Hua’s works offer a fresh perspective on life and death for individuals grappling with existential uncertainties. This aids in guiding individuals to seek the significance of their own lives and adopt an objective stance towards mortality.
Exploring the Mechanisms and Functions of the Impact of Ketamine on Spatial Orientation Decision Making
Authors: Liu Yiming
Published: October 2024

The aim of the study is to explore the impact of ketamine on sound perception and spatial orientation decision making, and the mechanism of how ketamine impacts perception and decision abilities. The methods used include behavioral and histology approaches. From the results, it can be concluded one of the brain regions affected by ketamine is TeA(temporal association area), which plays a vital role in sound perception and spatial orientation. An unexpected finding is that ketamine impacts left turning and right turning decisions at different degree, which requires further research on ketamine’s different impact on two cerebral hemispheres. In all, the study’s findings help people further understand how ketamine impacts spatial and sound perception.
STRATEGIES FOR TEACHING IMAGERY IN UPPER ELEMENTARY CLASSICAL POETRY
Authors: Hong Tianci
Published: October 2024

Exploring the teaching strategies of classical poetry imagery in the upper primary language section is an important way to implement the requirements of the language curriculum standards, improve students’ aesthetics, and the need to inherit the excellent traditional culture. the language curriculum standards, improve students’ aesthetics, and the need to inherit the excellent traditional culture. The imagery of ancient poems in the upper primary language is broadly divided into natural imagery, mythological imagery and life imagery. The imagery of ancient poems in the upper primary language is broadly divided into natural imagery, mythological imagery and life imagery, which is characterised by vivid imagery, subjective emotion, connotation and emotion. The imagery of ancient poems in the upper primary language is broadly divided into natural imagery, mythological imagery and life imagery, which is characterised by vivid imagery, subjective emotion, connotative polysemy and successive inheritance. Through the questionnaire survey on the teachers and students of the Through the questionnaire survey on the teachers and students of the teachers and students of the upper primary school teachers and students of ancient poetry imagery teaching actual situation to carry out investigations and analysis, the upper Through the questionnaire survey on the teachers and students of the upper primary school teachers and students of ancient poetry imagery teaching actual situation to carry out investigations and analysis, the upper school imagery teaching in the teaching of perception bias, the preparation of the content of the shallow superficial, a single teaching method, the students learning motivation is insufficient the students learning motivation is insufficient, targeting these problems, the need to change the concept of ancient poetry imagery teaching, optimise the preparation of ancient poetry imagery teaching, and optimise the preparation of ancient poetry imagery teaching. optimise the preparation of ancient poetry imagery teaching, innovative ancient poetry imagery teaching methods.