bluuebunny/crossref_metadata_2025 huggingface dataset:
The Incentive Effect of Fintech Policies on Corporate Green Technological Innovation: A Study Based on the Chinese A-Share Market
Authors: Chen Ziyu
Published: June 2024

Against the backdrop of the rapid development of global fintech, the formulation and implementation of China's fintech policies have attracted widespread attention. These policies not only affect the financing efficiency and market competitiveness of enterprises but also have a profound impact on their green technological innovation. This paper analyzes data from Chinese A-share listed companies between 2007 and 2022 to explore how fintech policies specifically influence corporate green technological innovation. The research findings indicate that fintech policies have significantly promoted the green technological innovation of enterprises. This discovery remains robust after various robustness tests, including parallel trend tests, variable and model changes, sample adjustments, and propensity score matching methods. Further analysis reveals that the impact of fintech policies on green technological innovation is particularly significant for enterprises with weaker profitability, shorter establishment time, non-Big Four accounting firm audits, and smaller scales. Mechanism analysis further points out that fintech policies effectively reduce the costs and agency problems in the green technological innovation process by alleviating financing constraints. This study not only provides theoretical support for the economic effects of fintech policies but also offers empirical evidence for policymakers on how to use fintech policies to promote corporate green technological innovation, which has important practical value for promoting corporate sustainable development and addressing global climate change.
Research on Corporate Social Responsibility Investment Considering "Greenwashing" Behavior
Authors: Gao Yijia , Chen Sitong
Published: June 2024

With the introduction of the dual-carbon target and the increasing public attention to green products, companies in the supply chain tend to invest in corporate social responsibility. In order to deal with the "greenwashing" behavior of upstream suppliers who use CSR inputs to cover up their defaults, downstream manufacturers are motivated to make CSR audit inputs. To address the above issues, a supply chain consisting of a supplier and a manufacturer is constructed, and the optimal decisions of both parties in the Stackelberg game model are analyzed under two scenarios, i.e., when the manufacturer invests in CSR auditing and when no CSR auditing is carried out. The study shows that in the case where the supplier is the leader, the manufacturer will invest more in CSR audits when the supplier is "greenwashing" and the government fines are greater than the profits generated by the current market demand.
A Psychoanalytical Approach to Wilfred Owen’s War Poetry
Authors: Dong Yinan
Published: June 2024

Wilfred Owen, honored as the most important poet during WWI, is determined to reveal the truth about the war from a soldier’s point of view. “Dulce et Decorum Est” and “Hymn for Doomed Youth” are his most prestigious works, a strong testimony to his innovative spirit and his coordinated verse. His war poetry has been discussed by many scholars both abroad and at home through different points of view: stylistics, literary devices, themes, Owen’s ideas about war, or the differences between Owen’s war poetry and others’. Most people have focused on the mental traumas of soldiers caused by war, but only a few people utilize psychoanalytical theories to analyze his poems. This paper is thus a psychoanalytic approach to Owen’s war poetry, drawing on Freud's war thought and Fromm’s theory of alienation of human nature, with a focus on further exploration of themes in Owen’s writing. The conclusion is that Owen’s war poetry is intended to convey the idea that the essence of war is the instinct of destruction masked by idealistic motives or the instincts of love, to shed light on the alienation caused by war and to represent a glimmer of hope for war by declaring violence to be a choice despite instincts. Through analysis, this paper intends to make a better understanding of Owen’s war poetry.
Reform and Innovation of Wind Music Chamber Music Teaching Mode in Art Colleges and Universities
Authors: Tian Zhaofeng
Published: June 2024

This article aims to explore the reform and innovation of the teaching mode of wind music and chamber music in art colleges. With the development of society and the reform of music education, the traditional chamber music teaching model has been difficult to meet the needs of students and the development requirements of society. Therefore, we need to carry out continuous reform and innovation to meet the needs of the new era. This article first analyzes the problems existing in the traditional indoor music teaching model, then discusses the importance of reform and innovation, and puts forward some specific measures for reform and innovation.
A Psychological Study of the Socialization of the Elderly with Their Families
Authors: Huang Jing
Published: June 2024

As China's urbanization process accelerates, population mobility is accelerated, and the urban adaptability and old-age care of elderly migrants to cities cannot be avoided.  The rapid development of urbanization has changed the population structure in urban and rural areas, which in turn affects the transformation of old-age care models.  In order to explore the changes and dilemmas of old-age care for elderly migrants in the process of urbanization, taking "elderly migrants" as the research object, this study explores a series of psychological changes in the process of urban socialization for elderly migrants. The study summarizes the changes and difficulties faced by elderly migrants in their living, livelihood, and social interaction in the process of urbanization, mainly analyzes the specific problems existing at the psychological level, and further analyzes the self-identity of elderly migrants. It is reflected in various aspects such as family contribution, social interaction, cultural inheritance, economic independence, and self-realization. In order to better adapt to the changes in new environment and lifestyle, the study focuses on the needs and psychological changes of elderly migrants, and promotes the attention and research of relevant groups in society.
Exploring the Impact of Online Peer Assessment Modules on the Feedback for English Writing by Chinese High School Students
Authors: Jiao Jiao , Khairul Azhar Jamaludin  , NurfaradillaBintiMohamad Nasri
Published: June 2024

This study examines the impact of online text and voice peer assessment modules on English writing feedback and learners' attitudes. One hundred students were paired to complete peer assessments for two writing tasks using the voice module of Microsoft Teams and the text module of QQ. The feedback was categorized into five types: identifying problems, explaining issues, proposing solutions, giving suggestions, and offering praise. The results indicate that text-based peer assessments primarily focused on identifying problems and errors, while voice-based assessments were more likely to propose solutions, give suggestions, and offer praise. Overall, learners had a positive attitude towards online peer assessment but preferred the text module, finding it more effective for improving writing. This study offers new insights into enhancing the effectiveness of online peer assessments and promoting students' writing skills.
Portfolios Optimization Among Technology, Consumer Defensive, Consumer Cyclic and Entertainment
Authors: Cao Xiangyu
Published: June 2024

Nowadays in financial field, portfolio optimization is playing a key role in making decision of investment. This article taking about the asset allocation in seven companies in Technology, Consumer Defensive, Consumer Cyclic and Entertainment. The Markowitz and Index models are the primary tools utilized in this study to analyze the portfolio data. Then, three constraints will be set to see the difference between them. In more detail, comparing two different models in same constraint and find difference in same model when setting different constraints. The results shows that McDonald’s takes the highest Weight in two models when setting different constraints on models. In the meanwhile, compared to when there are no constraints, the performance of the minimal variance frontier and the capital allocation line is inferior. The research in this paper plays a reference role for investors to construct investment portfolios.
The Design and Implementation of Junior High School English Reading Teaching Activities Guided by the Concept of Authenticity
Authors: He Leilei , Yun Hong
Published: June 2024

Based on the concept of authenticity, this paper explores how to create real situations, design real questions and implement real feedback in the reading class of English for People's Education Press, so as to arouse students' deep emotions, truly mobilize students' thinking to solve practical problems, and promote the consolidation of new knowledge in immediate feedback. Finally improve the core quality of students' English subject.
Research on the Displacement Impact of Artificial Intelligence on the Film Industry
Authors: Cheng Guo
Published: June 2024

In recent years, the film industry has witnessed a significant transformation with the emergence of Artificial Intelligence (AI) as a formidable creative force. This abstract provides an overview of an essay exploring AI’s multifaceted implications in the film sector. The essay delves into the palpable concerns surrounding AI’s influence on the industry, particularly in scriptwriting. AI’s remarkable script generation capabilities have led companies to explore cost-saving measures, which raises questions about the potential displacement of human creatives. The essay examines how these changes have sparked tensions, exemplified by the Writers Guild of America (WGA) strike. However, amidst these concerns, the coexistence potential of AI and human creativity is highlighted. The role of AI-regulating laws in safeguarding employment and ensuring ethical AI implementation will be discussed. Moreover, the essay underscores the enduring value of human creativity, as very few AI systems have passed the Turing test. Ultimately, the essay argues that the path forward lies in human-AI collaboration, offering insights into how the film industry can strike a harmonious balance between technological innovation and artistic expression.
The Impact of Trading Volume on Stock Price Volatility
Authors: Li Mengwei
Published: June 2024

In the capital markets, research on the impact of market trading volume on asset prices and returns has been ongoing since the 1960s, and remains a focus of attention for scholars and investors both domestically and internationally. Studies on the relationship between volume and price primarily concentrate on the volatility of stock prices in relation to trading volume, and the correlation between stock return rates and trading volume. In empirical research on the volume-price relationship, the main theories are inseparable from the study of market information. Trading volume encompasses the market's reaction speed to information and the extent of information's impact on the market, which are significant reasons why trading volume can affect stock market prices and returns.
Leadership in Social Work: Basis for Promotion of The Heads of Social Work Institutions in China
Authors: Wang Zhili
Published: June 2024

The call for studies on social work leadership has been raised since then. Various leadership models from the business literature were adopted in social work literature but had not been analyzed thoroughly to determine their appropriateness with social work mission and values to advance the social work agenda. In China, nearly 8,000 social work service organizations (SWSOs) were developed quickly in the end of 2017 which offered both opportunities and challenges for social work administrators who were observed to practice transformational leadership often. Apparently, a Chinese version of transformational leadership was developed by Li & Shi (2005) based on the four-factor structure anchored on Chinese culture of moral integrity, leadership charm, vision motivation, and individualized consideration which was the study’s framework. The study investigated the transformational leadership of heads in social work institutions in China as basis for their promotion. This inquiry filled a perceived gap in the scant literature regarding leadership of Chinese social work heads. Also, it analyzed the organizational conditions and management of heads in social work institutions. The study involved 193 heads from 5 social work institutions in China who were mostly female with 1-5 years of service as a professional social worker with specialized educational background. Through quantitative descriptive, comparative, and correlational methods, the results showed that social work leaders always experienced transformational leadership. However, the heads presented numerous challenges that called for improved guidelines on their promotion. Thus, the output of the study was developed.
Application of Harvard Analytical Framework to O2O Platforms of Generation Z: Take Meituan as an Example
Authors: Fu Taoxu
Published: June 2024

The development of O2O platforms has led to changes in people's lifestyles, in which Generation Z is gradually becoming the main consumer in the market, which has a profound impact on O2O platforms. Given the advantages of the Harvard analytical framework, this paper aims to explore the application of the Harvard analytical framework in the O2O platform of Generation Z, taking Meituan, a leading O2O company in China, as an example. Using the Harvard analytical framework, this paper analyzes Meituan's financial data from four aspects: strategy, accounting, finance, and prospect, identifies problems, and gives corresponding optimization suggestions. The analysis finds that Meituan has problems such as business homogenization, limited profitability of the existing business, negative net profit, declining inventory turnover, increasing competitors, and changing consumer demand. In this regard, recommendations were made to launch new products and services, explore new business areas, optimize marketing and R&D expenditures, optimize inventory management, and gain a deeper understanding of the needs of Generation Z consumers.
Application of Liposomes in Non-Viral Vectors
Authors: Wang Fengyang
Published: June 2024

With the development of pathology, the traditional way of drug delivery is gradually unable to meet the needs of increasingly complex cancers, genetic diseases, and other drug delivery needs, so gene delivery was born. Precise, efficient delivery reduces damage to normal cells, improves treatment effect, and reduces the amount of drug used, hence the growing academic interest in gene delivery. To design more efficient and less harmful delivery vectors, non-viral vectors are gradually replacing the traditional viral vectors. As the most advanced non-viral vectors, lipid nanoparticles (LNPs) are widely used, such as Pfizer's COVID-19 vaccine —— a vaccine with a prevention efficacy of up to 75% was designed within a short research and development cycle. This article will summarize the existing information on LNPs as non-viral vectors, including delivery processes, target recognition, existing drawbacks, etc., to find vector designs with higher delivery efficiency, lower toxicity, and more generalizability.
Machine Translation on Chinese Students’ L2 Academic Writing Motivation and Strategy
Authors: Sun Xinyao
Published: June 2024

The study explored the impacts of machine translation on Chinese university students’ L2 academic writing, especially on the motivation of using machine translation and the writing strategies with the aid the machine translation (MT). With the technology advances proceeding unimpeded, MT, as one of the artificial intelligence-based technology, was booming in the L2 academic writing. Although many previous studies examined the influence of using MT on the quality of L2 academic writing, few study paid attention to the students’ psychological activities and writing strategy during the writing process. Therefore, viewing the academic writing as a process, this study employed the Technology Acceptance Model to explore how motivation of using MT influenced the final writing strategy selection by analyzing the factors that impacted the motivation. Semi-structural interview was applied in this study to explore the thoughts and experience of eight Chinese university students in using MT in their L2 academic writing. After collecting and analyzing the qualitative data, the study found that with the comprehensive influence of external variables, the psychological features of Chinese university students largely influenced the writing strategies with the assistance of MT in L2 academic writing. This study provided possible insights into how MT shapes the writing strategies, and thus suggested some recommendations for higher education institutions and teachers of English academic writing on how to better use MT in academic writing so that students can be delivered with relevant guidance in this respect.
Pricing and replenishment strategy formulation for the fresh produce market
Authors: He Zhuoluo , Dai Zhendong , Liang Yuhao
Published: June 2024

To improve the profit margin of the fresh supermarket and optimize the pricing and replenishment strategies of goods, this article provides a time series analysis of the sales volume of various categories and individual items of vegetables. The sales volume and the relationship with time are analyzed on a monthly, quarterly, and annual basis. The article discovers the seasonal and cyclical patterns in the sales volume of vegetable categories and individual items. Using the Spearman correlation coefficient and hypothesis testing, the study reveals strong positive correlations in the sales volume of cauliflower and leafy flower products, as well as strong negative correlations in the sales volume of eggplant and aquatic root and stem products. To formulate pricing strategies for the fresh supermarket in the coming week, the article uses the ARIMA model to forecast the daily total sales volume of various categories. It also constructs a planning model for maximizing the revenue of the fresh supermarket, taking expected profit margin, discount factors, and daily replenishment total as independent variables. The simulated annealing algorithm is employed to solve this model, and the result indicates that the maximum revenue for the fresh supermarket in the coming week is 4269.6 yuan. The article provides procurement and pricing strategies for the fresh supermarket in the next week based on this analysis.
Solid Passion - A Brief Analysis of Neoclassical Art Style
Authors: Tian Zhaofeng
Published: June 2024

Neoclassical art style is an important genre in the history of European art. It combines the solemnity of classical art with the passion of modern aesthetics to form a unique artistic style. This article aims to explore its status and influence in the history of art through in-depth analysis of the origin, development and artistic characteristics of neoclassical art style. The article first introduces the formation background of neoclassical style, then analyzes its artistic characteristics from the aspects of form, color, composition, etc., and shows the artistic charm of neoclassical style through the analysis of specific works. Finally, the article evaluates and looks forward to the contribution of neoclassical style and its impact on modern art.
An ESG Evaluation System Based on New Quality Productivity and Blockchain Application
Authors: Cao Ruinan
Published: June 2024

Within the context of the rapid advancement of information technology, this study examines the effects of information construction in the "Pilot Zones of Integration of Information and Industrialization" on the synchronicity of stock prices. The research findings indicate that the development of information has a significant reducing effect on stock price synchronicity. This conclusion still holds after undergoing a series of robustness tests. Furthermore, the impact is more evident in enterprises with dual roles and in areas with lower levels of legal governance. Additional analysis suggests that information construction mitigates stock price synchronicity by improving corporate governance and ensuring the prompt and accurate representation of company-specific information. In conclusion, this research offers insights for policymakers regarding the promotion of informationization, the optimization of corporate governance frameworks, and the enhancement of capital market efficiency. It advocates for the strengthening of legal protections and oversight mechanisms to guarantee that informationization can effectively elevate corporate governance standards and market transparency.
Carbon Footprint of the Food Industry and ESG-Related Business Promotion
Authors: Jiang Xiaohe , Liu Yuke
Published: June 2024

The carbon emissions of the food industry account for a significant proportion of the overall carbon emissions. Figuring out the carbon footprint of the food industry is a great way to find out the reason for the large amount of carbon emissions. In this part, the paper selected several variations that may have some influence on carbon emissions and did some intensive studies to figure out which one is the major factor. By analyzing through life cycle assessment and regression by Random Forest, it was figured that fertilizer is the most influential factor in carbon emissions, and focusing more on the usage of compound fertilizer and decreasing the usage of other kinds of fertilizer can effectively reduce the carbon emissions. Then the paper tried to figure out whether the reduction is realistic, and the paper did research in the financial field. The paper did an ESG score ranking of the fertilizer company, cultivated the investment weight in the portfolio, and did a risk rating of them. The research adopted the Grey Forecasting Model and quadratic Optimization Formulation to process data. Through the simple study of the carbon footprint of fertilizers and an analysis of the investment ratio of investors, it is finally found that to economically promote and support the development of carbon-reducing compound fertilizers by business is essential. Besides, it coincides with investors’ interests.
Long–Range Movie Box Office Prediction Based on Machine Learning
Authors: Xu Jiayi
Published: June 2024

The study aims to predict the box office of movies based on several important factors obtained from The Movie Data Base (TMDB) being independent of the daily box office of the movie after its release. Exploring the nature of the dynamics of film revenue is crucial for filmmakers, investors, and film likers since it can help them find a way to improve their film influences and decision-making. This research employs three distinct methods – Random Forest, Back Propagation Neural Network, and Linear regression (Least Square Method) – utilizing a set of selected independent variables including popularity, budget, genre, run time, release date, original language, and production countries. This study gives an insight into the relationships between these variables and the revenue of movies. As a long-range forecasting model, the prediction of the model is up to 73% precise. Overall, this study aims to provide valuable information and methods for the film-related industry to predict revenue. Also, the model has the potential to be extended to other fields such as the prediction of the feedback of series or games before release.
Research on the Influence of Advertising on Online Purchasing Behavior of Consumers in Hanoi
Authors: Kieu Chinh Vu
Published: June 2024

Research on the shopping behavior of Vietnamese online shoppers is crucial for the successful formulation of effective online business strategies from the outset. Therefore, driven by the aim of comprehending the behaviors and influencing factors that shape the online shopping habits of Vietnamese consumers, the author embarked on a research journey to delve into the online shopping dynamics of Vietnamese consumers, specifically focusing on the youth demographic in Hanoi. Drawing from existing theories, this article introduces a novel theoretical model that delves into the intricate interplay of different elements within the advertising realm. The independent variable in this model is advertising content, which refers to the information, entertainment and irritating of the advertisements. The dependent variable is the online purchase behavior, which represents the decision of consumer to buy the product or service. The mediating factor in this model is the consumer emotions, which reflects the emotional response elicited by the advertising content.
Predicting the Reasons of Employee Turnover Based on BP Neural Network Model
Authors: Dai Ying
Published: June 2024

Employee turnover is related to the survival and development of enterprise team, which increases the cost of human resources and causes management difficulties and economic losses. Bp neural network model can deal with nonlinear problems, large-scale data and complex pattern recognition tasks, and plays an important role in the field of prediction. In this paper, BP neural network model is used to deeply analyze the causes of employee turnover, and deeply predict the causes of complex employee turnover with economic development and post-epidemic era. Through training and learning of relevant data of employee turnover, BP neural network can extract potential patterns and rules of employee turnover, so as to predict the trend of employee turnover in the future. So that enterprises can better understand the demands and expectations of employees, formulate more reasonable policies and plans, improve the job satisfaction and loyalty of employees, and reduce the employee turnover rate. Provide guidance for enterprise management's decision-making and rectification.
Universal, Low-cost Temperature, Humidity, and Dust Concentration Environmental Measurement and Visualization
Authors: Sun Yuhong
Published: June 2024

Humans spend most of their lives indoors. A comfortable environment contributes to human health, but an indoor environment can change due to various factors. Monitoring indoor temperature, humidity, and dust concentration can help people improve the environment through various measures based on the current values. The author designed a circuit using Arduino and sensors to detect and visualize the values. In this study, two sensors, SHTC3 and GP2Y1014AU0F, were used for the measurements. And LEDs and speakers were used as indicators. The author used the brightness of the LEDs to show the values of temperature and humidity. The author used a speaker to play a melody to remind people to open the windows or turn on the purifier when the particle dust exceeds the normal range in the room. This detection device can help people to detect the environment and alert them simultaneously in order to continuously maintain a good and healthy indoor environment.
Investigation of the Influence of Social Networks on the E-commerce Live Streaming Industry from Consumers’ and Firms’ Points of View
Authors: Wang Yiming
Published: June 2024

In this largely internet-based era, it is found that utilizing social media as a transaction platform is an increasingly popular trend for both customers and firms. Even though they make use of social media for different purposes, its commonly recognized convenience, which allows a wider and faster information dissemination process via social networks, has great positive impacts on the streaming e-commerce industry. This paper uses different models and theories to explore the significance of social networking to both customers and firms. However, there are some drawbacks associated with such wide and quick dissemination of information because of the inability to distinguish between correct and false information and potential rumors. Then, suggestions will be given to both buyers and sellers of the products sold in live-streaming chatrooms to maximize the use of social media and social networking. This paper will mainly study the effects of social networks on electronic word-of-mouth and incentive mechanisms.
A Deep Learning Based Framework for Blind Road Occupancy Detection
Authors: Liu Yiteng
Published: June 2024

This research paper addresses the pressing concern of road safety for the visually impaired in densely populated regions, especially in China. While tactile paving exists to guide blind individuals, unexpected obstacles pose serious hazards. The study proposes an Artificial Intelligence (AI) system utilizing advanced machine learning techniques to identify obstacles on blind roads, providing real-time feedback for navigation. To overcome data limitations, a virtual environment using Pybullet is created for data generation, combining synthetic and real-world images for training. This study introduces a Convolutional Neural Network (CNN)-based model and integrates a Vision Transformer (ViT) model, comparing their efficacies. The progressive training approach yields a highly effective CNN model, outperforming ViT models. The practical application of the CNN model in real-world scenarios has proven its efficacy in detecting obstacles, underscoring its reliability and significant contribution to improving road safety for visually impaired individuals. This research extends beyond providing a safety enhancement measure; it also sheds light on the wider applicability of such methods in addressing issues like the scarcity of real-world data.
A Study of the Correlation Between Social Media Use and Adolescent Mental Health
Authors: Zhu Yining
Published: June 2024

This paper explores the correlation between social media use and adolescent mental health and synthesises the positive and negative impacts. A literature review and data analysis revealed complex effects of social media use on adolescent mental health. Positive impacts include social support and access to information, while negative impacts involve cyberbullying and social stress. This study highlights the importance of education and awareness raising, and recommends developing healthy usage habits, strengthening family communication, promoting realistic social interactions, and providing mental health support. Recommendations for future research include long-term follow-up studies, cross-cultural comparisons, multi-method studies, exploring new types of social media, and evaluating the effectiveness of interventions. Through these measures, we can better understand and address the impact of social media use on adolescents' mental health and promote their healthy development.
Feasibility analysis of replacing lithium-ion battery with sodium ion battery
Authors: Hu Fang , Lin Hanjie , Pan Runliang
Published: June 2024

Since the beginning of the 21st century, the global energy crisis has become a pressing issue, prompting researchers to explore more efficient ways of utilizing energy production and storage technologies in our daily lives. In recent years, there have been major improvements in lithium-ion batteries (LIBs) technology, considerably improving living conditions globally. LIBs are currently commonly employed in electric cars. However, the efficient distribution of renewable energy and smart grids raises concerns, along with the long-term availability of lithium resources. The scarcity and rising costs of lithium metal in recent years have been attributed to substantial price fluctuations. Thus, LIBs have made it difficult to meet the increasing demands of both small and medium to large energy storage applications. Due to the readily available properties of sodium metal, it has similar chemical properties to LIBs. To alleviate these challenges, sodium-ion batteries (SIBs) can be used as the finest candidates for power supply. In recent years, different materials such as metal oxides and phosphates have been introduced as positive electrode materials for SIBs. The use of selected carbonaceous materials, transition metal oxides, intermetallic compounds, and organic compounds as negative electrode materials for SIBs has also contributed to recent developments. SIB is a promising next-generation replacement, but there are still some challenges in the market acceptance of SIBs. In this research, we summarize and compare the market application status of SIB and lithium iron phosphate (LFP), and propose the future development trajectory of SIB and LFP according to their respective characteristics. This will provide a unique insight into practical application problems and market realities.
Impacts of Forest Fires on Landscape Patches
Authors: Wang Zeye , Gao Zhongliang , Zhao Yuxuan , Yu Chente , Yu Zhenxing , Tang Jie , Yu Shoufu
Published: June 2024

The interrelationships between landscape and forest fires are synthesized by going through relevant books and reviewing related literature. Various effects of forest fires on landscape patches are described, while the interference of landscape on forest fires is illustrated, and some applications of forest fires in landscape ecology, such as firebreaks, are enumerated to provide scientific and reasonable bases for the prevention and control of forest fires.
The Impact of Network Subculture on Traditional Culture: An Analysis of the Linguistic Features and Social Culture of Modern Chinese Network Buzzwords
Authors: Fan Wenna
Published: June 2024

Network subculture represents the values and aesthetics of the new generation. Relying on the Internet, social media and other new media to spread, it has new aesthetic standards and cultural symbols, and there are some special social behavior patterns and cultural norms, which will have some conflicts with traditional culture, but also bring some new possibilities for the inheritance and development of traditional culture. The emergence of network buzzwords is not only an innovation in language form, but also an embodiment of social and cultural changes. This paper studies the linguistic features and sociocultural relations of modern Chinese network buzzwords, and analyzes their features in language form, pragmatic function and cultural connotation through the overview and classification of network buzzwords. Combined with the social and cultural background, this paper discusses how the meaning and communication mode of network buzzwords reflect the hot issues, cultural trends and group identity of the current society. This paper probes into the impact of network buzzwords on traditional culture from three aspects: value concept, aesthetic standard and social behavior mode, and gives corresponding solutions.
Research on the Influence of Green Trade Barriers on China's Export and Its Coping Strategies
Authors: Gao Xiaoyan
Published: June 2024

With the increasing awareness of global protection, green trade barriers have gradually become a factor that cannot be ignored in international trade. This paper aims to discuss the impact of green trade barriers on China's exports, and put forward corresponding countermeasures. The paper first summarizes the definition, development process and main characteristics of green trade barriers, then analyzes their impact on China's export, and finally puts forward countermeasures from the two levels of government and enterprises.
Commodity Dynamic Pricing and Replenishment Decision Model Based on Cosine Annealing
Authors: Zhao Junyi , Xi Chenye , Chen Gong
Published: June 2024

The purpose of this paper is to analyze the relationship between commodity sales volume, commodity types, sales time, etc., and propose a decision model to predict future sales data through historical sales data to determine a reasonable pricing strategy. First, the collected data is preprocessed. Through correlation analysis, the most important influencing factors of commodity sales are obtained. Through the construction of XGBoost model to model the influence factors obtained, the wholesale prices of chili products (yuan/kg) from July 1 to 7, 2023 are 3.63, 6.68, 6.90, 5.44, 6.62, 6.90, 5.44, respectively. In order to further develop a reasonable pricing strategy, this paper constructs a model based on cosine annealing algorithm combined with dynamic pricing algorithm. Through this model, it is calculated that from July 1 to 7, 2023, the restocking quantity (kg) of chili products is 234.20, 95.85, 110.04, 179.77, 176.60, 110.04, respectively. 179.77. Profit (Yuan) is 148.81, 298.96, 347.82, 370.75, 287.54, 356.33, 383.00. By comparing the model with the actual data, the error of the model is small and the robustness is high, which provides an effective decision-making model for supermarkets to formulate commodity sales strategy.
University Students’ Attitudes Affecting Their engrossments in Physical Education Activities in a University in China
Authors: Liu Ru
Published: June 2024

Recent advances in technology have dramatically changed students' lifestyles, diverting their attention away from physical activity. This study examines students' attitudes towards physical activity and its impact on engrossments in a Chinese university. Using a description-comparation-correlation study design, a questionnaire was used, adapted from previous studies by Zeng et al. and Khan et al. The sample consisted of selected first-year to third-year students from a Chinese university. Statistical analysis including percentage, weighted mean, standard deviation, T-test, ANOVA, and Pearson correlation were used to interpret the data. Through questionnaires, background information on students' gender, grade, age, and course choices were collected, as well as data on their attitudes and engagement with physical activity. The results showed that students' attitudes towards physical activity showed intermediate levels in terms of motivation, determination and goal setting, and these attitudes significantly influenced how engaged they were in physical activity. The study found that although most students have a moderate level of commitment to physical education activities, the importance, motivation and expectations they place on these activities have a significant impact on their participation. In particular, students' motivation and determination have a strong impact on their engagement in physical activity. In addition, gender, age, grade, and course choice did not significantly differ in student attitudes and engagement. Based on these findings, the study makes recommendations such as strengthening physical education teacher training, adopting interactive games and team-building activities to increase student engagement, and encouraging cooperation and teamwork among students. These strategies aim to improve students' attitudes and participation in physical activity, thereby promoting their physical health and overall development.
Structural Design and Aerodynamic Characteristics Study of a Regional Airplane
Authors: Ji Yi
Published: June 2024

This article mainly studies the overall design and performance of the passenger regional airplane. Designing regional jets is an important part of the high-quality development of civil aviation and is also in line with the needs of future market development. However, there are few complete studies on the overall process of the aircraft, and most of them only focus on the study of a specific aircraft structure. Therefore, this study refers to a variety of existing regional jet models on the market, completely designs a regional jet, uses software, i.e. AutoCAD and SolidWorks, to model the whole and some parts of the aircraft, and analyzes the various performance parameters and market economy of the aircraft. This paper provides a complete case study of regional passenger aircraft in the field of aircraft design. The work presents the complete process of aircraft design and improvement methods compared to the same type of aircraft, providing a standard demonstration for the complete design of specialized aircraft.
LightGBM Model for Detecting Fraud in Online Financial Transactions
Authors: Chen Jipeng
Published: June 2024

With the rapid development of online finance, combined with its significant potential threats, nowadays it has increasingly drawn attention to the issue of fraud in online payment transactions. Due to the large and diverse nature of online payment data and the binary nature of fraud detection, this study implements the machine learning algorithm LightGBM to detect fraudulent activities. Through data exploration and data preprocessing, the data is refined. Leveraging violin plots to observe the distribution of variables in fraudulent and non-fraudulent activities, and then an insignificant variable is removed. Next, the processed data is fed into the LightGBM model. The result yields a fraud prediction accuracy of 99.5%, shows a very high precision. Additionally, the study verifies the algorithm's robustness and generalization ability. Overall, this research holds significant importance, given its findings and implications for addressing fraud in the rapidly evolving landscape of online financial transactions.
Analysis of Electron Double Barrier Tunneling Based on Python
Authors: Mu Chunxu
Published: June 2024

Tunneling is a common phenomenon in microphysics, and resonant tunneling is a tunneling phenomenon under special conditions. Double barrier tunneling is an important quantum mechanical phenomenon, which has important application and research value in condensed matter physics, semiconductor devices, quantum mechanics, and nanotechnology. This study takes the double barrier as an example to observe electron tunneling and find out the influence of different parameters on the tunneling effect. In this study, the wave function is calculated by using the method of Schrodinger equation and transpose matrix, and the image is drawn by Python and numerical operation. In this study, it is found that the barrier width is inversely proportional to the transmittance, and the transmittance and reflectance will change periodically with the distance between the two barriers, and the electrons will reach full transmission at a certain incident energy value. Studying the characteristics and mechanisms of double barrier tunneling helps develop new quantum technologies and devices and promotes technological innovation in related fields.
Prospective Industry Apprenticeship for Entrepreneurial Innovations as Influenced by Students’ Behavior
Authors: Liao Aijiao , Manly Norita E.
Published: June 2024

To cope with the new normal of economic development, seek sustainable national competitive advantage, alleviate the employment problem of college students, and improve the quality of employment, it is necessary to change the employment concept of college students and change the original "passive employment" into "active employment" in the future. Integrate the cultivation of innovative consciousness, entrepreneurial thinking, entrepreneurial skills, and abilities into traditional education to improve college students' learning ability and entrepreneurial will. Modern apprenticeship and apprenticeship innovation are important talent training modes to deepen the integration of production and education and cultivate innovative talents. It can be a mutually beneficial arrangement to implement industrial innovation apprentices. Enterprises can gain new ideas and contributions from enthusiastic learners, while apprentices can gain practical experience and contribute to the development of the industry. Understanding the influencing factors and formation mechanism of entrepreneurial behavior of college students in designated universities is of great practical significance for perfecting the entrepreneurial innovation system of apprenticeship and guiding the exploration and practice of entrepreneurial innovation reform of apprenticeship.
Research on “Spicy” Culture in Chengdu based on Semiotics Theory
Authors: Wu Sha , Qiu Zhujun
Published: June 2024

This paper takes spicy culture as an entry point, uses semiotic theory to study the development of “spicy” as a symbol of Chengdu's Tianfu culture and its “materialization” process, and finally forms the following viewpoints, from the introduction of chili peppers as an ornamental plant to the development of chili peppers as a cultural symbol of Chengdu's efforts to develop the city's culture and culture. The process of “visualization” of chili peppers has led to the following view: from the introduction of chili peppers as an ornamental plant, to their becoming a cultural symbol that Chengdu has made a great effort to visualize. The “visualization” of the “hot pepper” cultural symbol can give people a strong sense of cultural identity, and has a great dynamic effect on the subject and object of the region and the overall development environment.
Meta-universe Empowers the Innovative Development Mechanism of the Ideological Education in Colleges and Universities
Authors: Xu Xingxing
Published: June 2024

In the post-epidemic era, purely offline civic education makes students limited to desk-based learning, in which case the educated people do not receive education to a deep degree and lack of in-depth understanding of the content of civic education. Learning in the era of high-tech development gradually tends to be networked and digitalized, and the development of Civic and Political Education needs a new direction, and some features of the meta-universe fit the innovative development path of Civic and Political Education in colleges and universities at present, and meta-universe education will also become a major trend of learning in the future. As a new educational platform, metaverse can not only show the written text but also virtualize the background behind the text. Based on the concept and technological evolution of metaverse, we will discuss how metaverse can be applied to the Civics classroom in colleges and universities, what problems can be solved in the process of Civics education to promote the construction of Civics education in colleges and universities, and what is the future mode of development of metaverse Civics education.
Analysis of Key Influencing Factors and Policy Recommendations for Agricultural Modernization in Guangdong
Authors: Zhu Yihang
Published: June 2024

In the context of China's push towards agricultural modernization, Guangdong Province faces distinct challenges and opportunities due to globalization and technological advancements. This study identifies five key factors impacting agricultural output in Guangdong: the number of agricultural workers, the area of crops sown, fertilizer usage, agricultural machinery power, and the count of agricultural science and technology personnel. Among these, the personnel dedicated to agricultural science and technology emerge as the most significant, showing a 13% greater impact than the next leading factor, the crop planting area. Conversely, the number of agricultural workers has the least effect. Analysis using the grey correlation method corroborates these findings. However, projections suggest that Guangdong may not meet its 2035 agricultural goals with current policies and development pace. Thus, enhancing the recruitment and training of agricultural science and technology talents is crucial for advancing Guangdong's agricultural modernization and overall agricultural growth.