bluuebunny/crossref_metadata_2025 huggingface dataset:
An exploration on the Cultural Loss in the Translation of Camel Xiangzi from the Post-colonial Perspective
Authors: Wang Leqi , Zhu Shulin
Published: October 2024

Chinese literature Camel Xiangzi, written by Lao She, has exerted a vast influence among overseas readers. Through the study, we found that despite Evan Kin’s excessive domestication and rewriting in his translation, his version still achieved great success in the United States at that time, which violated the literary and cultural value of the original work and constituted cultural hegemony to some extent. It is a pity that a classic work has become a tool for pleasing natives and that the cultural elements in it have been lost to varying degrees, partly to the point of exhaustion. Based on cultural dimensions such as language, religion, and society, as well as the characterization of the protagonist Xiangzi, this paper explores the phenomenon of cultural loss in Kin’s translation in terms of post-colonial theory. Moreover, we also recommend that translators attach great importance to having a responsible translation ethic, protecting cultural diversity, and advocating to restore the regional, linguistic, and cultural traits of the source language as originally as possible.
Graphene-Based Materials in Energy Storage and Conversion Devices
Authors: Zhang Haozhong
Published: October 2024

Global energy demand and environmental concerns have grown increasingly over the years. To solve these problems, advanced energy storage and conversion technologies are essential. This work explores the applications of graphene-based materials to enhance the performance of lithium-ion batteries, supercapacitors, and solar cells. In lithium-ion batteries, graphene significantly improves electrical conductivity, mechanical stability, and energy capacity, thereby improving battery performance. Likewise, in supercapacitors, graphene-based electrodes exhibit excellent specific capacitance and energy density, which are crucial for high-power applications. In solar cells, graphene improves photoelectric conversion efficiency and stability, especially in perovskite and ZnO/Si heterojunction solar cells. However, the high cost and complexity of producing graphene limit its widespread use. Future research should focus on developing cost-effective production methods, optimizing graphene properties through doping, exploring composite materials, and expanding graphene applications in sustainable energy and environmental fields. This work provides an overview of current progress and suggests directions for future research in this area.
The Digital Divide: Immobility and Vulnerability of Marginalized Groups in Urban Areas in China
Authors: Cheng Bixuan
Published: October 2024

The research report delves into the formation and impact paradigm of the digital divide in urban marginalized areas, with a particular attention of how digital divides affect the daily lives of urban marginalized groups. While existing analysis of digital divide in China have predominantly focus on differences between urban and rural areas or eastern and western area, this study centres its attention on the community of Junyuan, Qiaokou District, Wuhan, Hubei Province. Herein lies an research of how the digital divide generated and its ramifications for urban life within a community primarily inhabited by low-income residents, elderly individuals, and migrant workers. Survey results are compared with international research findings related to the digital divide. This comparison leads to a proposed influence paradigm tailored for urban fringe communities based on age and education level. Furthermore, a governance approach is recommended that places emphasis on cultivating user willingness and fostering trust in ICT technology as part of efforts to alleviate the adverse effects of the DD experienced by marginalized groups within cities.
Ending the obesity epidemic: multidimensional challenges and effectiveness analysis of increasing taxes on fast food
Authors: Jiang Mengchen
Published: October 2024

With the continuous development of society, fast food has become a daily choice in modern society due to its high convenience. However, its high-calorie, high-sugar, high-fat, and low-nutrient characteristics significantly increase the risk of obesity. According to statistics, over 2.5 billion adults worldwide are overweight, and fast food consumption is recognized as an important factor driving the rise in obesity rates. This article delves into the multidimensional impact of fast food consumption on the global obesity rate and the effectiveness and challenges of controlling obesity through increasing fast food taxes. These policies face many difficulties in implementation, such as economic penalties that make it challenging to change consumption habits completely and may exacerbate the burden on low-income groups. In addition, Denmark’s saturated fat tax practice has shown that although tax policies can bring specific results, they have also caused problems such as increased unemployment and cross-border shopping. The article points out that relying solely on raising taxes is challenging to solve the problem of obesity, and multiple factors need to be considered comprehensively. The convenience, addiction, and extensive advertising coverage of fast food make it difficult for consumers, predominantly low-income and adolescent groups, to resist its temptation. Therefore, the government, businesses, and consumers need to work together to address the challenge of obesity through comprehensive measures such as strengthening health education, promoting healthy eating habits, and improving food production and processing technologies. This article also emphasizes that although tax increase measures can, to some extent, guide consumers to reduce their fast food intake, their effectiveness is limited and may lead to social and economic inequality issues. In the future, more innovative and comprehensive strategies should be explored to address the global obesity epidemic effectively.
Methods to address the problem of algal bloom in Lake Taihu
Authors: Chen Ruohan , Huang Liuyi , Huang Yongming , Mao Yunhao , Na Sitai
Published: October 2024

Algal blooms in eutrophication are a severe problem all over the world and would lead to plenty of negative impacts, such as affecting the quality of water badly. In China, many water bodies, including Lake Taihu, are severely affected by this problem. Therefore, this article will focus on Lake Taihu, and aim to analyze different methods to address the algal bloom. The purpose of the article is to find out the most effective and suitable way to solve the problem of algal bloom in Lake Taihu.
Research and Analysis of Deep Learning in Environmental Perception for Autonomous Driving
Authors: Zhao Xuetong
Published: October 2024

Autonomous driving technology, as a revolutionary development in the transportation field, relies on efficient and reliable environmental perception systems. Deep learning plays a key role in the environmental perception of autonomous driving, with its capabilities widely applied in areas such as signal and sign recognition, semantic segmentation, instance segmentation, and SLAM (Simultaneous Localization and Mapping). This study conducts research and analysis on the aforementioned key technologies. It concludes that while deep learning technology has shown excellent performance in the perceptual systems of autonomous driving, it still faces challenges that require further research and resolution, such as generalization performance, eal-time requirements, and safety issues.
Modification of New Semiconductor Materials by Doping
Authors: Huang Yixiang
Published: October 2024

In the era of information, people’s lives are inseparable from electronic equipments. Semiconductors are key materials for manufacturing electronic equipment, which can be applied in multiple fields such as integrated circuits, solar cells, and so on. However, pure semiconductors have a single property, which are difficult to meet the design and usage requirements of different electronic devices. To solve the problem, introducing heteroatoms for modification to make them have more suitable performance will be a good way. Good semiconductor performance generally relies on precise control of the doping process. Different types of semiconductor materials typically require specific doping techniques to improve its performance. Adding small amounts of heteroatoms to pure semiconductors can significantly improve their conductivity by forming p/n junctions or achieving specific functions. Doping technology has been widely used in the semiconductor manufacturing industry. It is of great significance for the manufacturing of chips, photovoltaics and other devices. At present, there are still many shortcomings in doping technology. It may come across the semiconductor structure failure caused by doping, or difficulty in meeting performance requirements for use. Thereofore, continuous research and improvement are still needed. This paper reviewed the applications and the doping techniques of various semiconductor materials including two-dimensional semiconductors and organic semiconductors. In addition, it also provides prospects for their related applications and development.
The Request of Xiangling: A Controversial Case on Silencing
Authors: Shi Yuhang
Published: October 2024

Dream of the Red Chamber has been one of the well-known novels in China, which has contributed to an area named “redology.” In the realm of redology, there are a lot of controversies about the silencing of Xiangling’s request for Baochai (one main character of the Red Chamber) to teach her poetry. However, few researchers have tried to analyze this conversation through a linguistic angle. This paper will introduce the Austinian approach to silencing to this controversial case in Dream of the Red Chamber, which could make essential distinctions between important concepts, and provide a coherent explanation for the reason why Xiangling insisted on her specific request to learn poetry and why Baochai had such systematic recognition failures. Through the case study, this paper proves that Xiangling suffers illocutionary silencing in her conversation with Baochai by refuting possible counterarguments. It is significant not only to the explanation of this novel, but also to expansion of application of Austin’s speech act theory.
A Study on ChatGPT-4o’s Capacity in English-Spanish Translation
Authors: Han Zhien , Zhou Leyan
Published: October 2024

This study assessed the ability of ChatGPT-4o to translate Gabriel Garcia Marquez’s novel “Love in the Time of Cholera” from Spanish into English. Twenty participants, all of whom were either native Spanish speakers or had majored in Spanish and studied the language for at least three years, evaluated the translation of twenty excerpts. The results indicated that participants were generally satisfied with the accuracy and fluency of the translations, feeling that the translated text conveyed the meaning of the original effectively. However, there was a consensus that there was room for improvement, particularly in handling complex expressions and cultural contexts. The study concluded that while ChatGPT-4o performed well in terms of accuracy and fluency, further improvements are necessary in cultural adaptation to ensure that cultural nuances and contextual information are accurately conveyed. This highlights the ongoing need for enhancement in machine translation to fully capture the subtleties of cultural references and intricate language use.
Green Film Forming Technology Based on Polydopamine Galvanized
Authors: Pan Yue
Published: October 2024

At present, the mainstream passivation agent is chromate passivation agent, but it has the disadvantages of high toxicity and high price, so this project seeks to find a safer, cheap and green chromium-free passivation agent. Because dopamine and chitosan derivatives have certain corrosion inhibition properties on metals in acidic media, these polymer corrosion inhibitors can achieve high corrosion inhibition rates at high concentrations. Therefore, in this experiment, dopamine was added on the basis of sodium silicate, and the sample was passivated to explore the potential enhancement effect of dopamine on the passivated film performance. After the sample was treated, the impedance value could be fitted by electrochemical impedance spectroscopy and Zsimpwin software, and then the Tafel polarization curve was drawn. It was found that the addition of dopamine significantly improved the corrosion resistance of the passivated film. By promoting the positive shift of self-corrosion potential and greatly reducing the self-corrosion current density, the protective barrier effect of passivation film on metal matrix is effectively enhanced. Finally, the experiment successfully proved that the corrosion resistance of the passivation film after adding dopamine was better
Europeanization, Mordenization: How the Syntax of Chinese New poetry Changed Influenced by the Translated Western Poems
Authors: Zhang Wenjie
Published: October 2024

The New Culture Movement of the early twentieth century promoted vernacular literature to construct a literature close to the people. However, the vernacular language was not used as an official language for a long time, resulting in its lack of complex structure and ability to express itself in refined ways. With the translation of modern Western poetry, their preserved modern Western syntax gradually influenced the creation of new poems, and the language of new poems was gradually Europeanized, with the emergence of many Europeanized syntactic features. Although this also resulted in the disadvantages of a strange and lengthy language and lower acceptance by the public, it provided a rich syntactic framework for the creation of new literature and adapted to the needs of modernization.
Chinese Art’s Influence on Roger Fry’s Aesthetics Formalism
Authors: Rao Xinyi
Published: October 2024

Roger Fry was one of the greatest art critics of the 20th century, who promoted the rise and development of the Western modern art movement and constructed a set of modern aesthetics formalism and art criticism theories, exerting a huge influence on modern art. Despite the formation of Fry’s aesthetics formalism cannot be separated from the background of the transformation of Western cultural traditions, the influx of Chinese art into the West at that time also had an impact on Fry’s aesthetics formalism. Fry extracted and reinterpreted from Chinese art, forming a distinctive formalist aesthetic theory. In Fry’s various works, the influence of Chinese classical aesthetics can be seen, such as blank space, rhythm, and emotional expression. The research will explore the correlation between Roger Fry’s aesthetic formalism theory and Chinese art. The study will analyze how Chinese art was introduced into the West and how Roger Fry was influenced by Chinese art. It will focus some particular elements like rhythm and blank space, explore how Fry reinterpreted them and applied to modern art criticism theory, using his work “Cézanne: A Study of His Development” as an example.
The Language Art and Tragic Beauty of Shen Congwen’s Border Town
Authors: Liu Yang
Published: October 2024

As Shen Congwen’s representative work, Border Town was published in the 1930s. This work has a beautiful writing style, showcases unique local customs and ideal human beauty, and occupies a unique position in the history of Chinese literature. After nearly a century, it still receives high attention from the academic community and support from readers. Its literary value can withstand the test of time. The work Border Town has rich exploratory value. This article mainly analyzes the literary value of Border Town from two aspects. On the one hand, the language art of Border Town, which is the concentrated embodiment of the author Shen Congwen’s talent and the key to touching people’s hearts in this work. This article will deeply analyze how the work constructs poetic words that touch people’s hearts from the shaping of the environment and the psychological details of the characters. On the other hand, the tragic beauty of Border Town is reflected in the tragic love story between Cuicui and Nuosong, the tragic life story of her grandfather, and the tragedy of the author’s creation not being accepted by the times. This article will explore how the work creates a lingering and tragic atmosphere from these perspectives. The research ultimately proves that Border Town is a work that transcends the times and has research and aesthetic value, worthy of repeated reading and exploration.
JellyCat: Marketing Strategies Based on Customer Emotions and Sentiment
Authors: Zhou Ruoyu
Published: October 2024

The exploration of consumer psychology within marketing has long been recognized as a fundamental aspect, with a particular emphasis on consumer emotions and sentiment. This study delves into the case of JellyCat to thoroughly investigate its marketing strategies, which are intricately intertwined with consumer emotions and sentiments. It offers practical insights and recommendations to address current deficiencies. Drawing from the 7P model, this paper integrates theories such as the Emotional Contagion Theory and the Expectancy-Disconfirmation Model to critically analyze JellyCat’s utilization of sentiment-based marketing across various dimensions: product, price, place, promotion, people, physical evidence, and process. Through a comprehensive examination of JellyCat’s approach, this study aims to provide valuable insights and guidance for similar companies, presenting actionable methods and recommendations to rectify any shortcomings in organizational operations. Furthermore, it seeks to identify key successes and valuable lessons learned, aiming to inform and inspire other companies seeking to enhance their marketing strategies in alignment with consumer emotions and sentiments. By leveraging these findings, companies can effectively cultivate stronger connections with their target audience and bolster their marketing efforts in a manner that resonates deeply with consumer emotions and sentiments.
Dirichlet Integral and Its Generalization by Different Methods
Authors: Zhang Zhen
Published: October 2024

Dirichlet integral, as the integration of sine function over x from positive infinity to 0, or negative infinity, is known as one of the most important concepts in mathematical analysis. In probability and statistics, Dirichlet integral is used in calculating expectation and variance. In physics, Dirichlet integral is used in describing the movement of a charged particle in specific electromagnetic fields, and the wave function of particles in quantum physics. In computer science, Dirichlet integral is used in the optimization of neural network. In economics and management, Dirichlet integral is used in the optimization of production and distribution, the estimation of the risk and return in investment. In this paper, Dirichlet Integral and its generalization are studied. This paper provides several methods including residue theorem and Feynman’s trick to determine the value of Dirichlet integral. Meanwhile, this paper extends Dirichlet integral to the case of n -th power and deduces a general solution by gamma function for the integral.
Application of Artificial Intelligence Technology in New Energy Vehicles
Authors: He Zerui
Published: October 2024

Due to environmental pollution caused by excessive exploitation of world resources, countries are now advocating for green travel, which has led to the rapid development of the new energy vehicle industry. Compared to traditional cars, the safety, maneuverability, and convenience of new energy vehicles have made the application of artificial intelligence technology increasingly widespread in this field. Therefore, this article provides a systematic review and analysis of the application of artificial intelligence technology in new energy vehicles. Firstly, the article outlined the main application scenarios of artificial intelligence in the field of new energy vehicles, including autonomous driving, energy management optimization, vehicle intelligent interconnection, and predictive maintenance. On this basis, this paper analyzed the role of artificial intelligence technology in improving the performance, safety, and reliability of new energy vehicles, as well as the technological challenges and development trends it faces. For example, issues such as data privacy protection and real-time performance need to be further addressed. In the future, artificial intelligence and new energy vehicles will further integrate, making important contributions to achieving intelligent, green, and safe future travel.
Exploring Speech Acts in Suicide Notes from the Forensic Linguistics Approach: A Comparative Study of Chinese and American Cases
Authors: Liu Shuying
Published: October 2024

Suicide notes are the information left by people who commit suicide. In these notes, people employ various speech strategies to express their emotion and will. The strategies and content in suicide note vary with culture. Using the Linguistic Inquiry and Word Count (LIWC) and Chinese LIWC (CLIWC) programs, this study looks at the speech actions in suicide notes as well as the linguistic and affective traits of suicide notes from Chinese and American individuals. The results show that while expressive acts and social words are more prevalent in American notes, suggesting stronger social connectivity, forceful acts predominate in all countries. Chinese suicide notes, on the other hand, show more directed actions and a greater frequency of both good and negative feelings in these actions. Despite the study’s limitations due to the small sample size, it provides valuable insights into the cultural differences in the language of suicide and suggests directions for future research, including larger-scale analyses and the development of AI-driven tools for suicide prevention.
A Comparative Study on ERNIE Bot 4.0 Turbo and ChatGPT 4o’s Performance in Evaluating First-Year Undergraduate Persuasive Essays
Authors: Yue Xinran
Published: October 2024

This study compares the performance of two prominent AI language models, ERNIE Bot 4.0 Turbo and ChatGPT 4o, in evaluating first-year undergraduate persuasive essays within the social sciences domain. Drawing from the Louvain Corpus of Native English Essays, a comprehensive collection of academic writings by British and American university students, this study aims to examine the models’ capabilities in assessing the grammatical correctness, vocabulary usage, coherence, content depth, and writing style of the essays. This study adopts a structured evaluation framework based on IELTS writing criteria to assess the models’ performance. A 40 persuasive essays from the Louvain Corpus were evaluated by both AI models and compared with human raters’ evaluations to ensure validity. The findings reveal distinct differences in the assessment styles of the two models. ChatGPT 4o exhibits a more critical approach, pinpointing areas for improvement, such as lack of argument development, coherence issues, and grammatical errors. Conversely, ERNIE Bot 4.0 Turbo offers a more balanced assessment, acknowledging essays’ strengths and suggesting improvement areas. Notably, ERNIE Bot’s evaluation highlights potential biases in AI-based assessment systems, particularly in its unequal emphasis on viewpoints. This comparative examination offers valuable perspectives on the advantages and constraints of AI models in assessing scholarly compositions, underscoring the significance of amalgamating varied AI functionalities to establish more all-inclusive and efficient feedback systems for learners. By understanding these differences, researchers and educators can better utilize AI-assisted essay evaluation systems to enhance student learning experiences.
A Comparative Analysis of Dance Movement Therapy Education Policy and Practice: A Case Study of the United Kingdom and Australia
Authors: Li Chunyixue
Published: October 2024

This study compares the role of art therapy in addressing mental health challenges and Autism Spectrum Disorder (ASD) in the United Kingdom, Australia, and China. It highlights the growing importance of art therapy in educational curricula, emphasizing its role in equipping adolescents with essential tools to navigate societal demands and reduce mental health risks. The study contrasts the status of dance therapy in these nations and aims to provide insights for improving the integration of art therapy into China’s education system.
The Translation Quality Assessment of Google Translate’s Toward A More Critical Approach To Bio-events
Authors: Zhou Ziting
Published: October 2024

There are few Chinese translation resources in paleontology, and literature reading relies heavily on machine translation, yet the translation quality cannot be guaranteed. Taking Towards a More Critical Approach toward Bio-events as a sample, this study aims to discuss the effectiveness of Google Translate in English-to-Chinese translation of paleontology literature. By comparing the translated text by Google Translate with that in Selected Papers of Theoretical Paleontology, the study assesses the translation from the perspectives of accuracy in word, sentence usage, meaning expression, logical accuracy, and readability. The assessment results show that the English-to-Chinese translation by Google Translate can accurately translate the deductive reasoning logic of the original text, and its coherence is basically consistent with the original text. However, there are paucity such as inaccurate word usage and deviations in sentence structure, leading to poor readability in some passages. This study provides insights into the use of machine translation strategies for paleontology researchers.
Application of Multifractal Analysis in Stock Market
Authors: Chen Huijie
Published: October 2024

Multifractal analysis provides a detailed approach to examine complex systems with varying scaling behaviors across multiple time scales. In this article, multifractal detrended fluctuation analysis (MFDFA) is applied to the index returns of Netflix from 2019 to 2024. The purpose is to uncover the multifractal nature of financial data through analyzing original, shuffled and surrogate time series and to identify sources of multifractality, particularly focusing on the roles of fat-tailed distributions and temporal correlations. This article finds out that even after shuffling, which disrupts time-dependent correlations, the multifractality still remains or even intensifies. Meanwhile, the surrogate data is investigated to study the sources of multifractality. The results show that Netflix stock returns exhibit clear multifractal properties, primarily driven by fat-tailed distributions rather than long-term correlations. In general, multifractal detrended fluctuation analysis provides important insights into the complex dynamics of financial markets, and it demonstrates how multifractal analysis can reveal underlying structures that traditional methods often overlook. These findings have implications for better risk management and market analysis by acknowledging the critical role of extreme events and distributional characteristics in stock market behavior.
THE Moral Intuitions in Moral Decision-Making
Authors: Hao Jinzhu
Published: October 2024

Moral intuitions are strong, stable, immediate moral beliefs. Scholars have put forward many theories about the origin of moral intuition from different perspectives. Based on many scholars’ theoretical analysis of moral intuition, this paper takes Kant’s moral philosophy as the basic framework. It further introduces caring ethics and utilitarianism as supplements to analyze the role of moral intuition in moral decision-making. This essay argues that while moral intuitions can serve as valuable initial guides, they must be critically examined and refined through a Kantian framework that integrates the categorical imperative with reasoned emotions and utilitarianism, enhancing their trustworthiness by aligning them with rational moral principles.
Ligand-Based targeting in drug delivery system
Authors: Lu Hsuan-Ting
Published: October 2024

Targeted drug delivery system has come up as a new approach that increase the effectiveness of the drug while reducing the side effects of cancer therapy. This review focuses on the application of ligand-based drug targeting, especially antibodies-drug conjugates in the case of ovarian cancer and folate-receptor targeting in the case for tumor cells. This review will provide analytical insights about the effectiveness of two approaches on improving bioavailability, targeting specific tumor cells, and enhancing drug carrying capacity. The findings show that folate receptor targeting does has significant potential in enhancing curcumin’s anticancer activity. However, there are still challenges such as rapid decomposition of curcumin. This review also highlights the need for future experiments and research to consolidate the effectiveness of the drug delivery system and explore their potential in broader clinical environment.
A study of the Dynamic Relationship Between Optimal Global Population and Technological Progress
Authors: Xu Junyao
Published: October 2024

It is the quantity that depends on the interconnection between population and technology, the latter being capable of advancing to support the growth of the population. Taking into consideration the findings of Malthus, Harding, and other authors, this paper elaborates on the multifaceted and developmental connection between population growth and technological advancement within the context of the optimal population. It critiques the fallacy that population growth will always result in the depletion of resources. This paper seeks to establish the fact that a large enough optimal population can foster the generation of a positive feedback loop of technological advancement and population expansion but, at the same time, results in vices such as pollution of the environment and depletion of resources. In contrast, the population can increase the market needs, encourage the advancement of renewable energy sources, and decrease the energy depletion rate. Technological advancements, boosted by population pressure, have let human beings overcome perceived environmental and resource barriers. Thus, the optimal population is not the specific number but the goal that is set to change depending on the level of technology development. Lastly, this paper stresses the importance of technological equity on the international level.
“Symptoms” of Chinese Women’s Appearance Anxiety
Authors: Yi Yuhan
Published: October 2024

The pervasive issue of “appearance anxiety” among young females has emerged as a significant psychosocial concern in contemporary society. This study employs qualitative research methods to investigate the social mechanisms underlying the development of “appearance anxiety” among young women, adopting a sociological standpoint on body-related matters. The findings of this study reveal that social factors contribute to the development of “appearance anxiety” in young women, as they strive to establish intimate relationships and attain societal validation. Consequently, young women are compelled to conform to societal gender norms, subjecting themselves to the scrutiny of aesthetic standards, while simultaneously resisting the detrimental effects of “appearance anxiety” through various forms of body consumption practices. Although the proliferation of information network media has provided women with expanded platforms for self-presentation, it has concurrently reinforced both societal aesthetic ideals and consumerist culture. Moreover, the media’s perpetuation of rigid body image standards, coupled with the propagation of misconceptions about body consumption, further entangles young women in a cyclic social framework characterized by “societal aesthetics - appearance anxiety - body consumption.”
Calibration of Cosmic Watch Desktop Muon Detector: Evaluating the Effects of Atmospheric Pressure and Material Interaction on Detection Accuracy
Authors: Shi Fanyi , Niu Yuwei , Liu Zibing , Bian Yanxin
Published: October 2024

This study focuses on the analysis of data obtained from Cosmic Watch (CW) muon detectors. The objective is to establish a standardised procedures for the enhancement of accuracy of muon detection in varying environments. By applying correlation analysis, the linear regression line is used to addresses the impact of atmospheric pressure on muon detection rates, which is clarified in the dissertation. A significant aspect of the research involves the rectification of systematic errors, which includes inconsistencies in pressure and temporal discrepancies across groups of Cosmic Watch (CW) detectors. Furthermore, the study investigates the influence of diverse materials on muon penetration, with the detectors being covered with lead, iron, and no material, respectively. The corrected data provide more reliable detection of double- and triple-coincident events and insights into the interactions between certain material and muons. Although there are limitations, the developed calibration model provides a robust framework for future experiments involving muon detection, with potential applications in studying the properties of cosmic-ray muons, and angular distribution.
The Research of Influence Factors that Possibly lead to Depression of Adolescents
Authors: Guo Sirong
Published: October 2024

Although many experts are now paying attention to the factors that will lead to adolescent depression, those previous studies have always limited the influencing factors to some simple and direct factors such as academic stress or family background. In fact, there are still many trivial influencing factors that have not been noticed. In this study, the regression model was used to process a dataset about various anxiety indicators and factors of 1100 students collected by two authors and an institution in 2023. The conclusion is that Study load and Bullying have positive impact on depression, and Sleep quality, Living conditions, Academic performance, Social support, and Teachers and students relationship have negative impact on depression. Among them, the positive impact of study load is the highest, which means that the greater the academic pressure, the more likely students are going to be depressed, while the negative impact of social support is the highest, indicating that the lower the social support, the more likely students are to be depressed. These factors have rarely been mentioned in previous studies, but this study provides insights for future research, and these results will raise concerns among parents and schools about these subtle factors.
Research on the Influencing Factors of Consumption Intention of Psychological Tourism Products and Marketing Strategies
Authors: Wang Yuyao
Published: October 2024

In response to the growing mental health challenges faced by individuals in modern society, psychological tourism products have emerged as a significant area of interest. This paper aims to define the concept of psychological tourism products, highlighting their critical importance in the contemporary market. It explores the factors influencing consumer purchase intentions regarding these products, focusing on cognitive aspects, pricing strategies, precise customer identification, and innovative product design. Additionally, the paper delves into the corresponding marketing strategies that can effectively enhance consumer engagement and satisfaction. By examining these factors, the study offers valuable insights for the tourism industry, providing targeted directions for marketing optimization. The goal is to facilitate the successful positioning and promotion of psychological tourism products in a competitive market. This paper holds both theoretical and practical significance, contributing to the ongoing innovation and development of marketing strategies within the tourism sector. By addressing the nuanced needs of consumers seeking psychological benefits from their travel experiences, it aims to foster a deeper understanding and better implementation of effective marketing approaches. The findings can ultimately support the industry in creating meaningful and impactful tourism products that resonate with consumers’ psychological well-being.
Evaluation of practicality of wireless charging for electric vehicles in the next 10 years
Authors: Li Zhuoheng
Published: October 2024

As the electric vehicle market is expanding rapidly due to the need for sustainable development; a solution is needed to deal with current problems related to electric vehicles, this includes relatively limited driving range, relatively lack of charging spots during busy season, and the inconveniences of plug-in charging, such as dealing with cables. Therefore, wireless charging technology capable of charging electric vehicles while they are in motion becomes a potential solution. Assessing whether this technology will be mass-applied in the future is crucial. Given the limited current research that evaluates the practicality of wireless charging technology for electric vehicles with a time scale, this article aims to assess the aspects of safety, cost, efficiency, materials, user acceptance and other factors to determine the likelihood of making wireless charging practical for electric vehicles in the next decade. Furthermore, by distributing questionnaires to electric and gasoline car owners to gather participants’ opinions and expectations on wireless charging for electric vehicles, statistical analysis of the questionnaire results; interview with a professor at Shanghai University who is an expert in magnets and electricity, conducting secondary research, this article concludes whether wireless charging technology for electric vehicles can be implemented in the decade or not. As an impact, this article includes a time scale by conducting an evaluation instead of implicitly mentioning the time scale.
Research on the Influencing Factors of Chinese Internet Celebrity Live Streaming Sales Based on Self-Media Marketing
Authors: Deng Yuhan
Published: October 2024

The Digital Age has created the rise of Internet celebrities and live streaming sales. With rapid information dissemination and personalized digital technologies, aspiring influencers can easily gain popularity and attract followers. Platforms like TikTok have established a symbiotic industry model where merchants promote products, streamers engage audiences, and fans shop in real time. This paper will focus on the influence of Chinese internet celebrities’ live streams by analyzing their marketing strategies. This study collected and analyzed data from surveys while observing and analyzing different types of influencers on the Chinese TikTok platform. The conclusion drawn is that, within the live-streaming sales industry chain, influencers employ a variety of marketing strategies that benefit society, the platform, companies, fans, and the influencers themselves. However, live-streaming sales can also have negative impacts on individuals, whether they are influencers or fans. People need to make cautious choices and take appropriate actions to maximize the benefits of live-streaming sales for the world while minimizing the negative impacts, thus making reasonable use of resources in the digital age.
An Experimental Study on the Effect of AIGC on High School Students’ English Words Memory
Authors: Liu Youhan
Published: October 2024

Vocabulary memorizing is the foundation of English learning, and improving students’ vocabulary memorizing efficiency occupies an essential place in English learning. However, the current vocabulary teaching activities are stereotyped in design and superficial in practice and fail to achieve the teaching goal of improving students’ vocabulary learning ability. With the development of AI, its function for learning is obvious. Therefore, based on AIGC, this study designs an experiment with 60 students from two parallel classes in grade one of a high school in Pingjiang County as the research object. The author adopts the literature method, investigation method, and experimental method. After referring to lots of related literature at home and abroad and conducting the investigation and analysis of the current situation of English vocabulary learning, the design principles and strategies for this experiment are put forward. At the end of the practice, the English vocabulary test and questionnaire survey were used as research tools to collect experimental data, and the SPSS27.0 software was used for statistics and analysis. The results show that AIGC can stimulate students’ interest in vocabulary memorizing, promote memorizing efficiency, and enhance the ability to use the vocabulary.
Strengths and weaknesses of the public and private sectors: taking education and food industries as examples
Authors: Fang Tongyu
Published: October 2024

With society’s continuous development, people have more in-depth discussions on the areas that government departments should be responsible for. In order to establish an effective market mechanism, different sectors need to operate in different ways to promote the efficient use of resources. Taking the current situation of the education and food production industry as an example, this paper analyzes the education system operated by the government and the food production industry dominated by private enterprises.  This paper holds that the public and private sectors have advantages and limitations, and adjusting the balance between the government and enterprises can prevent the disintegration of society. Only by strengthening the cooperation between the public and the private sector can the quality of human resources be improved, economic growth be stimulated, and resources be effectively utilized.
Poems 1912-1913 – A psychoanalytical walkthrough of Thomas Hardy’s elegies for Emma Lavinia
Authors: Cheng Pengyang
Published: October 2024

Elegiac poetry has an apparent reason for existence: mourning. However, the mourning for the faded one, is mostly written and heard by the living rather than the buried one. Therefore, elegies often involve more prominence of the poet’s self, who could have a thousand intertwined ideas each one evolving a renewed image of the one who passed away. And hence, express their interpretations under the lead of those notions and reflections to fulfill the lack of this figure. We can seek here the essential idea of the elegy: to relieve the living through engaging with the passed away figure, as the elegy keeps us away from the sin of forgetting the dead.
Self-Presentation, Social Media, and Beauty Standards Among Adolescents
Authors: Chen Jieer
Published: October 2024

In the age of social media, the pervasive behavior of taking and sharing selfies has garnered significant attention, prompting a deeper examination of the motivations and consequences associated with this practice. This review paper examines the current state of knowledge in understanding the psychological and social factors driving selfie behavior. Key themes emerging from the literature include self-presentation, attention-seeking, communication, and archiving, each shedding light on why individuals, especially adolescents, are drawn to capturing and sharing their self-portraits. Despite the substantial body of work, there remains a lack of research on the anxiety-inducing effects of selfie behavior, particularly in relation to social comparison and selfie editing practices. One limitation of the current research is the absence of longitudinal studies that track the long-term psychological impacts of selfie culture. These findings have important implications for developing interventions to mitigate negative psychological effects and inform future research and practice in digital media and mental health.
Research and Applications of Autonomous Underwater Vehicles
Authors: Mao Yanjun
Published: October 2024

Autonomous Underwater Vehicle (AUV) technology has been developed in the field of underwater surveying over the past decades. Today as climate change and the energy crisis becoming increasingly urgent matters. Simultaneously, as technology is moving towards data-driven digitization, AUV technology is expanding into several other fields. This paper provides an overview of the current development of AUVs. It discusses the strength of AUV technology, such as high survey accuracy, large operational range and low operational costs compared to other surveying methods. It also addresses limitations, including battery technology constrains and wireless communication challenges. This paper will also introduce future areas of development based on the limitations, such as fuel cell, underwater scanning and mapping, underwater autonomous navigation, and bio-mimicry technology. Finally, based on the currently technology developments of AUVs, discuss the currently fields of application such as oceanography, underwater mapping and imaging and future fields of applications such as fisheries and use in underwater industrial inspections.
Advances in the Application of Graphene in Lithium-ion Batteries
Authors: Zhuang Wenkai
Published: October 2024

The search for effective energy storage options has escalated due to the rising global energy demands and environmental concerns. Lithium-ion batteries (LIBs) emerge as a key technology. However, the performance of traditional LIBs still needs to be improved. Therefore, choosing new nanomaterials for the modification of LIBs has become an effective solution. Graphene, as a nanomaterial, is an excellent candidate material for modification. This paper delves into the application of graphene in enhancing the performance of LIBs. Graphene, with its superior electrical conductivity and substantial specific surface area, offers the potential to enhance the performance of both anode and cathode materials in LIBs. This can lead to significant improvements in the overall cycle life, energy density, and power density of these batteries. This work emphasizes the application of graphene in cathode and anode materials. In cathode materials, the layered structure of graphene enables lithium-ion with high theoretical capacity. Meanwhile, graphene helps improve the electron and lithium ion mobility of anode materials. Despite the promising developments, challenges such as lithium loading capacity and coulombic efficiency still remain. The continued exploration of graphene applications is expected to drive LIBs to unprecedented performance metrics. This is in line with the global quest for sustainable and efficient energy storage technologies.
Divided Deterrence: The Philosophical Community’s Response to Nuclear Warfare in 1980s
Authors: Jia Cynthia
Published: October 2024

At the beginning of the 20th century, Western feminist thought began to be introduced into China, and under the impetus of the May Fourth Movement, it was widely concerned and accepted by the old Chinese intellectual circle. Mao Dun was the first scholar to translate and spread Western feminist theories during the May Fourth Movement. The potential text of Mao Dun’s novels can be seen in her representative work Midnight. Based on the background of the old Chinese era, this paper takes the typical female characters in Mao Dun’s Midnight as the research object, and uses three methods of text analysis, comparative study and literary criticism to analyze the fate of these classic female characters in Mao Dun’s Midnight and explore the awakening of women and the influence of feminism embodied in them. Then it reflects the awakening of women and the influence of feminism in old China. Moreover, the awakening of women and the influence of feminism had a profound impact on China and the world at that time and even later generations.