bluuebunny/crossref_metadata_2025 huggingface dataset:
Causes and Improvement Strategies of Students' "Pretending to Study" Phenomenon
Authors: Zhang Bowen
Published: September 2023

Emphasizing the learning barriers and psychological transformations of students is imperative in educational research and practice. The high school phase holds paramount importance in the students' educational journey, as it is during this period that emotional and self-cognitive challenges stemming from academics and personal life can significantly impact academic performance. This paper delves into the phenomena of "pretending to study" among high school students, utilizing surveys involving teachers, students, and parents. The study sheds light on the widespread occurrence of this behavior, where students simulate efforts during self-study solely to meet the expectations of their teachers and parents. They perceive themselves as diligent workers without putting in actual effort, resulting in learning driven by self-pity, mindless studying with little yield, and dependency on others devoid of critical thinking. Attribution analysis implicates several factors contributing to this behavior, namely divergent self-perceptions, lack of determination, pressure to appease parents and teachers, fear, aversion to acknowledging personal limitations, and tendencies towards laziness. In conclusion, this study proposes recommendations for all stakeholders involved, including students, parents, and teachers, aimed at fostering improvement in this regard.
Abnormal Behavior Fish and Population Detection Method based on Deep Learning
Authors: Zhao Zexin
Published: September 2023

This paper presents a detection model of fish with abnormal behavior and their number based on YOLO v8 and Deep Sort algorithm. The method firstly uses computer and acquisition system to monitor and analyze the fish behavior in real time, and can effectively detect the abnormal behavior of fish, such as abnormal swimming trajectory and abnormal residence time. The main work of this paper is to preprocess fish behavior videos, including video segmentation, data enhancement and other operations, and use data enhancement technology to improve the problem of fish occlusion in data set, which is easy to cause model false detection. Then, YOLO v8 and Deep Sort algorithm were used for multi-target tracking and target detection to extract the key information of fish behavior. Finally, through the analysis and comparison of the extracted information, the detection of fish with abnormal behavior and its quantity are realized. The experimental results show that the method proposed in this paper can effectively detect the abnormal behavior of fish, has high accuracy and real-time, and has certain application and popularization value.
Well Testing Analysis Method and Practice for Low Permeability Gas Reservoirs
Authors: Yang Huohai , Liao Qingrong
Published: September 2023

With the gradual maturity of well testing interpretation theory, some scholars have conducted research on vertical well testing models, horizontal well testing models, and inclined well testing models for fractured and vuggy reservoirs, and plotted typical well testing curves. However, during the drilling process, the wellbore is usually connected to both the fractures and the reservoir matrix, resulting in a dual permeability situation where the fractures and matrix simultaneously supply fluid to the wellbore. Based on this, some scholars have established a horizontal well dual hole dual permeability testing model, a vertical well three hole dual permeability testing model, and a horizontal well three hole dual permeability testing model, making the results of well testing interpretation more reasonable and reliable. For the well testing analysis of inclined wells in fractured and vuggy reservoirs, the existing inclined well models only consider the three hole single permeability situation where the fractures are connected to the wellbore. There is little research on the three hole dual permeability well testing model where the inclined well matrix and fractures supply the wellbore simultaneously. Therefore, based on previous research, this article establishes and solves a well testing model for inclined wells with three pores and dual permeability, using the effective wellbore diameter and the principle of Duhame superposition, taking into account the bottom hole pressure effect, and draws sample curves for the analysis of inclined wells in fractured and vuggy reservoirs. This provides a reference for the analysis of inclined wells in fractured and vuggy reservoirs.
Machine Learning based Data Analysis for Wordle Game
Authors: Wu Zidong
Published: September 2023

As wordle game is becoming more and more popular all over the world, the study of the intrinsic patterns and problem-solving techniques of the game has become a popular topic. In this paper, we obtained daily result files of wordle over a period of time, which included data such as words of the day, the number of people who reported their scores on the day, and the number of players who entered the difficult mode, and further analyzed the data. In order to predict the results reported on a future day, this paper first eliminates the abnormal data in the dataset, and then builds the LSTM model and ARIMA model. On the test set, the MAPE (mean absolute error) of the LSTM model is 5.643, and the LSTM is significantly better than the ARIMA model. Secondly, in order to predict the distribution of word results for a given future date, the 12 features of the network training data were first subjected to PCA dimensionality reduction, and the results showed that the percentages were consistent with time by performing the Shapiro-Wilk normalization test on the correlation percentages. Based on this observation, we built a BP-LSTM parallel model to extract word attributes and extract percentage features over time. The model has a MAPE of 6.09, which outperforms a BP neural network that can only extract word attributes.
How Environmental Protection Tax Affect Corporate Earnings Management——Evidence from Chinese Manufacturing Industry Enterprises
Authors: Wang Ying , Guo Lingxin , Tu Jingwen , Huang Yizhen , Ye Bo
Published: September 2023

This paper empirically explores the influence of environmental protection tax on corporate earnings management and the underlying mechanism based on the data of manufacturing enterprises listed on A-shares in China from 2007 to 2021. The results show that environmental protection tax has a remarkable inhibitory effect on corporate earnings management, and the positive moderating effect of green innovation and the negative moderating effect of media attention are examined through mechanism analysis. The heterogeneity analysis finds that this effect can differ significantly depending on the nature of ownership, social responsibility, and environmental pollution, and through further research, it is discovered that the environmental protection tax has a more significant inhibitory influence on upward earnings management.
Research on Influencing Factors of Second-Hand Housing Price in Haidian District, Beijing
Authors: Han Kunling
Published: September 2023

The housing issue is an economic issue as well as an issue of people's livelihood, especially in megacities like Beijing, where housing prices in the second-hand housing market fluctuate greatly, so its influencing factors have become the focus of attention. Studying the influencing factors of housing prices in the second-hand housing market can provide reference for the government to formulate appropriate real estate regulation policies and predict the development trend of housing prices in the future. This article collects nearly 3,000 groups of public second-hand housing individual transaction data from the Lianjia website in the domestic second-hand housing market. The time span of the data is from June 2020 to June 2021. After data cleaning and descriptive statistical analysis of the acquired data, we set the total price of the house as the explained variable, and the number of rooms, the area of the house, the decoration, the floor, and the unit price of the house are used as the explanatory variables. We establish a multiple linear regression model, then test and optimize it. The results are as follows: in the second-hand housing market of Haidian District, if the second-hand house has a large construction area, a large number of rooms, a high unit price and has been renovated, the total price of the house will be high.
Short-term Petroleum Price Prediction Based on LSTM and LightGBM
Authors: Zhang Yuefan , Shi Yixiao , Qiao Yadi , Wang Weiwei
Published: September 2023

With the recent severe fluctuations in the international petroleum market, accurately predicting the direction of oil prices has enormous importance for multiple industries. This study employ the single-unit LSTM model and the multi-unit LSTM model based on word frequency to predict short-term petroleum prices. Results show that the multi-unit LSTM model provides better prediction performance. This study also utilized the LightGBM prediction model taking seven distinct variables into considerate. The result indicates that the model proposed is effective in forecasting crude oil price trends. In conclusion, LSTM model has better interpretability in the time dimension, while the LightGBM model has higher overall prediction accuracy than LSTM. And this study provides ideas for the construction of other oil price forecasting models.
Green GDP: the Goal of the Future Economic Health
Authors: Fan Yimeng , Sun Qijing , Yang Shu
Published: September 2023

At present, the most widely used composite index for measuring economic growth in the world is GDP and its growth rate, but this composite index does not fully emphasize the importance of climate and environment, while green GDP focuses on economic development while also paying attention to the protection of the natural environment. In order to establish a green GDP accounting system and test whether the green GDP system can alleviate climate change, this paper considers the impact of natural resource depletion and environmental pollution, selecting data from 23 countries, using EWM and CVM for calculation, and obtaining The resource and environment index RNI finally determines the accounting system of green GDP. In order to study the relationship between the green GDP system and climate change, this paper develops a GGDP-climate change coupling model, and the chi-square independent test is used for the correlation between GGDP and climate change. Pearson's contingency coefficient (C) is used for to determine how close the correlation is, the Spearman correlation coefficient is used to determine the direction of the correlation. The study found that GGDP has the effect of slowing down the deterioration of global climate.
A study on the impact of listed companies' strategies on surplus sustainability
Authors: Shi Ying
Published: September 2023

Strategic differences have an important impact on the quality of surpluses. Based on the perspective of surplus persistence, this paper uses a total of 8917 data of A-share listed companies in Shanghai and Shenzhen in China from 2014-2019 as the research sample, and uses a first-order linear autoregressive model to explore the relationship between strategic differences and surplus persistence of listed companies, and the moderating role of property rights nature in this relationship. The study finds that the greater the strategic differences, the lower the surplus persistence; the negative relationship between strategic differences and surplus persistence is more significant in non-state-owned enterprises compared to state-owned enterprises. Further breakdown of the surplus items reveals that strategic differences affect the overall surplus persistence mainly by influencing the persistence of the accrual part of the surplus.
Isolation in the Time of Pandemic: An Analysis of COVID-19-Induced Loneliness and Its Concequences
Authors: Lai Ertian
Published: September 2023

Loneliness, as a feeling of being socially disconnected, is a well-established risk factor for a range of physical and mental health problems. COVID-19 has disrupted the lives of people and societies around the world. In the context of the pandemic, the experience of loneliness has been exacerbated by factors such as prolonged periods of isolation, reduced opportunities for social connection, and the loss of social support networks. The prolonged negative impact of pandemic-induced loneliness causes public health concerns, with potential long-term implications for individual and societal well-being. The aim of this study is to examine the psychological, social, and economic consequences of prolonged loneliness induced by COVID-19. Through a combination of case study and systematic review of social issues, in regards to elderlies, pet, petowners, and lonely consumers, experienced during the pandemic, this research seeks to shed light on the impact and suggestions resulting from this phenomenon in the post-pandemic era.
A Critical Analysis of Tencent's Success: Factors and Strategies That Contributed to Its Achievements
Authors: Hong Haoran , Xiao Yiwen
Published: September 2023

Tencent is one of the largest Internet integrated service providers in China. This paper chooses Tencent as the main research background. And a simple introduction to Tencent's position in the market, how to maintain profit and so on are put forward. According to the background, this article mainly studies the management problems of Tencent. It includes three parts: employee incentives, management mechanisms and market decisions. This paper describes three different parts by literature review and searching for materials. And in the end according to the practice of Tencent company this research puts forward some suggestions to improve the current situation. Suggestions include that Tencent can plan future careers for employees who have left the company, improve multi-faceted management mechanisms and break away from conservative strategies to develop new technology and track with large volume. Researchers may also benefit from Tencent's management style, employee development, and flexible work, which demonstrates Tencent's great management.
The Importance of Digital Platform Transformation to Businesses’ Development
Authors: Meng Lingchen
Published: September 2023

Businesses tend to improve their performance and achieve a competitive advantage. In the recent environment, how well an organization can leverage the use of data for its benefits determines its success. Most organizations therefore are seeking the possibly best ways they can achieve to improve their performance through digital transformation. Digital transformation is not a new concept, because nowadays, almost every organization has applied technology in their practices to continue functioning well. This means that the impacts that digital transformation has brought to the business sector cannot be ignored. In this research paper, three major impacts of digital transformation have been identified. The main impacts include increased satisfaction of customers, improved engagement and enhanced productivity within the organizations. The following implications, along with the accompanying material, make it quite evident that the firm has benefited greatly from the digital transition. Suggestions indicate that businesses should leverage how technology is applied, as it sometimes results in a lot loses in data, and therefore, they should always have a backup plan. This implies that despite the positive implications on the business sector, when digital transformation is not done well, it can lead to a business making unknown losses hence impacting its future.
Analysis of the Digital Transformation of Big Data Era
Authors: Wu Tianqi
Published: September 2023

Each industry is facing new challenges and opportunities, and many companies are embarking on a digital transformation journey to seek new breakthroughs and growth. Through the power of digitalization, they are actively attempting to transform their business models, enterprise operations, and business processes. The pandemic has had a certain impact on the hotel industry, but it has also provided an opportunity to accelerate the digitalization process of hotels. In the modern era, the hospitality industry has become more data-driven. As a result, hotels can leverage big data to enhance their daily operations, marketing, and customer experience. Hotels are now focusing on the digitization of guest experiences to improve service quality and enhance guest satisfaction. In this paper, the importance of using big data in hotel daily operations and marketing campaigns will be discussed. This research studies the digital transformation plan of the hotel industry through a literature review that provides the theoretical framework for further analysis. Then a case study approach is employed on The Ritz-Carlton Hotel Beijing, specific recommendations for using big data are proposed furtherly.
Analysis of the Current Situation and Future Prospects of Tourism Development in the Mentougou Mountainous Area
Authors: Li Jiale
Published: September 2023

Mentougou District is well-known for its hilly landscape and draws a large number of tourists sightseeing each year from Beijing's metropolitan region. Tourists have been deeply impacted by both the distinctive natural setting and the voluminous cultural artifacts. This study will analyze the benefits and drawbacks of the natural and cultural environment in the Mentougou mountainous area for the development of the tourism industry, mainly exploring tourism resources, transportation facilities, supporting service facilities, and other aspects. Based on the research results, combined with relevant literature, and drawing on the development experience of similar regions, effective suggestions are proposed for the development of tourism in the Mentougou mountainous area. This research suggests that Mentougou mountainous region's natural and cultural resources are ideally suited for the growth of tourism, and the advantages of this growth exceed the drawbacks. Developing landscape amusement projects, constructing transportation lines and service facilities, and strengthening the supervision of businesses are three suggestions proposed in this paper.
Safeguarding Human Rights Against Multinational Enterprises’ Abuse: The Necessity of Mandatory Due Diligence Regulations
Authors: Shan Chongxu
Published: September 2023

As globalization and economic development progress, corporate human rights abuses have drawn increasing attention from the international community. However, existing international norms fall short in protecting human rights. This study employs a comparative research method to examine Mandatory Human Rights Due Diligence (MHRDD) laws in different countries, contrasting the shortcomings of international norms with the advantages of MHRDD laws. Through these comparisons and an investigation of the concepts and history of MHRDD laws, the study highlights their importance. Additionally, the research provides recommendations based on an evaluation of existing legislation. These suggestions aim to enhance the comprehensiveness of MHRDD laws, increase the number of companies required to conduct Human Rights Due Diligence (HRDD), address imbalances in rights, focus on result oriented HRDD, establish red lines, and offer effective remediation avenues. This will contribute to the promotion of human rights protection among global enterprises and the further improvement of human rights protection mechanisms.
Business Strategies’ Positive Influences on Company's Prospects and Development
Authors: Chen Siting
Published: September 2023

Business strategy has a great impact on a company, and it can be called the lifeblood of a company. This research will expand on how business strategies can help the company's prospects and development. Various business strategies will be described in detail in this paper, including pricing strategies, event planning, data collection, etc. which are all business strategies. These business strategies can help companies better position themselves, gain better profits, gain a better corporate image, and improve competitiveness. But the misapplication of these business strategies can also lead to the failure of the company. As long as a company obtains strong competitiveness through a good business strategy and a good corporate image, the company will have better development. So, a good business strategy is very important for a company. If a company does not have any business strategy and only focuses on immediate interests, then only bankruptcy will be ushered in.
The International Application and Development Prospect of the Principle Purpose Test Clause
Authors: Zhang Tongzhou
Published: September 2023

Abuse of tax treaties by taxpayers through various means has become increasingly rampant, infringing on the tax base of each country. The OECD has formulated the PPT rule in order to protect global tax order. The main content of the rule is: a tax benefit shall not be granted if obtaining that benefit was one of the principal purposes of any arrangement or transaction that resulted directly or indirectly in that benefit. The PPT rule is favored by countries for its simplicity, and it gradually developed into one of the most important rules in the anti-abuse system. However, there are many problems in the current application of the rule. This paper begins with a description of the concept of the PPT rule and three points of contention, followed by an analysis of the application of the PPT rule in the domestic laws of four countries and the problems that exist globally. Finally, this paper puts forward three recommendations that are relevant to the future development of the PPT rule.
Exploring the Approach Against Problem of Legitimate Expectations Under the Fair and Equitable Treatment Standard by Host States
Authors: Qiao Guankun
Published: September 2023

This essay discusses the challenges associated with the definition of legitimate expectations in host-state dispute settlement. The concept of legitimate expectations requires the government to respect citizens' expectations of policy continuity and stability based on legal principles and has become a self-standing doctrine in international investment contracts. However, the lack of clarity in interpretation and diligence on the part of the host nation has resulted in inconsistent outcomes in similar situations, undermining legal certainty. Additionally, the longstanding defense of legitimate expectations has weakened the host country's authority to regulate. The essay provides recommendations, including recognizing the factors that give rise to legitimate expectations, operating in an open and transparent manner, scrutinizing informal representations of governmental intent, and instituting a reasonable response program to avoid liability for necessary government actions.
The Environmental Protection Responsibility of Multinational Enterprises
Authors: Liu Hongyang
Published: September 2023

In the context of economic globalization, more and more multinational enterprises are choosing to move their highly polluting companies to low-income developing countries that are rich in resources, and these highly polluting enterprises are causing huge disasters to the environment of these developing countries. Therefore, multinational enterprises need to take responsibility for environmental protection. However, it is not enough to rely on the self-regulation of multinational enterprises, but the international community, together with the home countries of multinational companies and host countries, should also regulate multinational companies.
Forecasts for the Ecology and Fisheries Economy of Scottish herring and mackerel
Authors: Li Yibo , Lin Yuyang , Zhang Pengtao , Pan Jingrui
Published: September 2023

In this project, we aimed to develop an efficient supervised learning system foranalyzing second-hand sailboat prices in Hong Kong. The project was divided into three main steps: data cleaning and denoising, dimensionality reduction, and efficient supervised learning. In the first step, we successfully cleaned and denoised the data by filling the missing values using mean, mode. We also detected and removed 154 outliers and abnormal points through Q-Q diagram. The remaining data passed the normality test after dimensionless standardization, and we confirmed that they all conformed to a normal distribution. In the second step, we reduced the dimensionality of the data by combining Pearson correlation coefficient and the mRMR algorithm. We selected the top 6 features as the inputs for the supervised learning model. In the third step, we established a supervised learning system with the second-hand sailboat price as the top layer, quality of the sailboat, year of production, region, and volume as the middle layer, and the remaining small index features as the bottom layer. We used an SVM model with penalty conditions for the S-N layer and a random forest model with parameter adjustment for the S-P layer. The S-N model achieved an accuracy of over 85%, AUC of 0.93, while the R2 of the S-P model was greater than 0.87 and the RMSE was less than 0.7, indicating the model was well optimized. Overall, our project successfully established an efficient supervised learning system to analyze second-hand sailboat prices in Hong Kong, providing insights into the regional effect and enabling better decision-making in the sailboat market.
Analysis of the reasons for France to promote the full nationalization of Electricite De France
Authors: Liao Jianhui
Published: September 2023

Affected by the Russia-Ukraine war, France was deeply in the energy crisis, and the French government promoted the full nationalization of the state-controlled EDF. The research shows that there are two main reasons for the full nationalization of EDF: one is to solve its increasingly serious debt problem; The second is to encourage it to focus on nuclear power development and promote France's energy independence and energy transformation.
A study of risk free and risky portfolio investment optimisation strategies under multi-objective constraints
Authors: Wang Zixu
Published: September 2023

The purpose of portfolio investment is to maximise returns while minimizing risks. For investors with different risk attitudes, this research uses Economic Model Predictive Control (EMPC) to study the multi-objective securities portfolio problem and obtains a multi-objective securities strategy that guarantees the maximum return and the minimum risk under different risk attitudes through the tracking method, considering the return, risk, and other factors of the securities portfolio. Finally, the effectiveness of the strategy is verified by simulation, and an analytical method for selecting the optimal portfolio of securities is proposed.
The international marketing strategy of Korea's Hybe Corporation and its implications to Chinese entertainment companies
Authors: Wang Dingyu
Published: September 2023

With the continuous development of economic globalization, foreign trade has brought unprecedented opportunities, and the exchange and dissemination of different cultures have become increasingly important in international trade. Since the rise of South Korea's entertainment culture in the 1990s, it has taken less than a decade for Korean dramas, fashionable clothing and other popular cultures to become "popular in Asia" and "popular around the world". In recent years, Korea's Hybe Corporation broke the pattern of YG, SM, and JYP which are Korea's three major entertainment companies, jumped to become the fourth largest Korean entertainment company giant. Its strong cultural output has led to the extraordinary influence of Korean pop culture on a global scope. From the perspective of international marketing strategy, this paper introduces the development status of Hybe Corporation through PEST analysis and 4P marketing theory, so as to inspire Chinese entertainment companies to keep pace with the times and promote the export of Chinese culture.
Equity Incentives and Firm Innovation Efficiency: Moderating Role of Ownership Concentration
Authors: Wang Luyao
Published: September 2023

In order to cope with the new situation and new challenges facing China's economic development, the country proposes to accelerate industrial transformation and upgrading with innovation drive, and lead scientific and technological development with scientific and technological innovation. Manufacturing industry occupies an important share in the national economy, and how to improve the overall competitiveness of China's manufacturing industry and the innovation efficiency of enterprises has become a hot issue of general concern for all sectors of society. Based on innovation theory, principal-agent theory and two-factor incentive theory, this paper systematically investigates executive equity incentives, ownership concentration and innovation efficiency for China's manufacturing industry, and also tests the ownership concentration regulation effect in groups under the perspective of equity optimization. It is found that: (1) Executive equity incentives are significantly and positively related to innovation efficiency. (2) Ownership concentration is significantly and positively related to innovation efficiency. (3) The more significant the promotion effect of executive shareholding on innovation efficiency when the equity is relatively concentrated. This paper can provide a reference for Chinese manufacturing industry to establish a sound incentive mechanism and optimize equity policy.
Optimization of Daily Trading Strategy
Authors: Li Yuxin , Yu Ziheng , Lian Ziqing
Published: September 2023

This study proposes a novel method that integrates variational pattern decomposition (VMD), long short-term memory (LSTM) models, and particle swarm optimization (PSO) to optimize daily trading strategies for a portfolio. By analyzing historical price data for gold and bitcoin, we have successfully identified the optimal investment actions (buy, hold, or sell) for a portfolio comprising different assets. The VMD-LSTM model proposed by us mitigates the long-term dependence problem of machine learning algorithm RNN in financial time series prediction through batch normalization optimization, and realizes the accurate prediction of the future price of gold and bitcoin, whose R-squared values reach 0.99 and 0.98 respectively. We also applied the particle swarm optimization algorithm to a sequence of trading decisions generated by predicting prices, ultimately obtaining a maximum portfolio value of $20,560,265.5, which is more than 14.2 times the 10-year growth of Bitcoin and 12,310.5 times the 10-year growth of gold. By verifying the universality and local optimal properties of our model, we use the Sharpe ratio as an objective function to evaluate the effect of the portfolio. After several perturbation tests, the results show that the original scheme is superior to other perturbation schemes considering the Sharpe ratio and the final return, which verifies the validity of the investment scheme selected by us as the local optimal value. These findings make our research more coherent and provide investors with a reliable basis for making decisions to achieve long-term capital appreciation and risk control.
The Relationship between Metaverse and Design
Authors: Dai Mingyue
Published: September 2023

With the development of science and technology in modern society, all walks of life are developing towards intelligence and information technology, and the meta-universe is still an immature concept at present, which is very general and summative. It has five characteristics: immersive experience, virtual clone, stable economic system, strong social attribute and open creation. In the construction of the virtual world of the meta-universe, immersive experience is the first to bear the brunt, which is closely related to interaction design. The progress of technology will inevitably change the way of art presentation and information reception, thus driving the comprehensive development and update of visual art from form to method and content. The Earth-scale, seamless integration with the real world, and constantly evolving digital world is the goal of scientific and technological development.
Analysis of Ru Porcelain Culture Exhibition Hall Design
Authors: Li Haoming , Zhang Zhou , Liu Haoyu , Li Yao
Published: September 2023

As the leader of the five famous porcelain in the Song Dynasty, Ru porcelain played an irreplaceable important role in the history of ceramic development in China. In order to publicize the traditional culture of Ru porcelain, according to the characteristics and development stage of Ru porcelain, combined with digital innovation concepts and the means of combining traditional and modern science and technology, the design of Ru porcelain culture pavilion was carried out.Make people feel warm and at home while enjoying the works, realize energy saving and temperature control through digitalization, control humidity, temperature and lighting according to the flow of people in different areas, and realize the optimal plan through the simulation path, so as to make the entire venue intelligent, information and data.
Localized Cultural and Creative Design based on Metaphorical Techniques
Authors: Wang Jianhong , Huang Yuhao , Li Zixuan , Yu Zhen , Wong KarSoon
Published: September 2023

This study conducts an analysis of classic product case studies utilizing the metaphorical technique. It extracts creative methodologies employed in these cases and explores their application in the design of other products, with a specific focus on incorporating the cultural essence of Hakka culture. The metaphorical technique is recognized as a valuable design tool that plays a pivotal role in product redesign. Given the unique and culturally rich nature of Hakka culture, it holds the potential to significantly influence product design. Thus, this research aims to investigate how the metaphorical technique can be effectively employed to integrate the distinctive features of Hakka culture into product design. By summarizing the research findings and contributions, this study examines the value and potential of the metaphorical technique in product redesign. Ultimately, it provides novel perspectives and directions for future research endeavors in related fields.
Exploring the Essence of Art through Chinese Literary and Film Works
Authors: Liu Kai
Published: September 2023

In recent years, there have been various opinions on the essence of art. However, people often tend to focus on exploring tangible forms of art such as painting, sculpture, and architecture. In reality, literature is also an integral part of artistic expression, and the artistic elements within literature are even more abstract. Exploring the essence of art through the realm of literature may provide a more comprehensive understanding of the subject.
On the Integration of Artistic Nationality and Cosmopolitanism
Authors: Bai Lin
Published: September 2023

Nominated for the Oscar for Best Animated Short Film, "Breaking Through the Sky" was produced by the team of Wuhan Tai Lao Animation Co., Ltd., China, fully demonstrating the charm of Chinese animation on the international stage, and highlighting the exchange and integration of artistic nationality and the world, at the same time, this animation has also been questioned by many people, considered to be not like the animation produced in China, lacking the taste of national elements, and the relationship between the national nature of art and the world has retriggered our thinking.
On The Role of Minimalism in Graphic Design
Authors: Dai Sirui
Published: September 2023

In today's information age, information is becoming more and more complex, and people need to get information quickly, so the minimalist design style is attracting people's attention more and more, and its unique design style is also attracting people's attention, becoming a design trend, or even a fashion trend. Minimalist design style upholds the principles of simple form, simple color, and adherence to “function first”, and the form is not rough, but more refined. We hope to show the simplest and most beautiful forms with little content, giving people unlimited imagination, not rough and at the same time look advanced, full of rhythm and without a lot of rhetoric. The result is a natural feeling of “back to basics” and a visual flair of “less but more”. In today's graphic world, the “less is more” minimalist style is highly sought after and popular. Minimalism is used in many different fields, including interior design, graphic design and architecture. Minimalism in graphic design is most evident in the simplification of type, graphics, color and typography to give a sense of visual comfort. The purpose of the graphic design discipline is to analyze the expression and application of minimalism in design.
Analyzing the Application of Dragon Graphic Creativity in IP Image Design
Authors: Guo Zidi , Guo Miao , Pi Qing , Pan Jing
Published: September 2023

The aim of this thesis is to explore the application of dragon graphic creativity in IP image design. By analyzing the symbolic meaning of the dragon in Chinese culture, we reveal the cultural connotation and symbolic characteristics of dragon graphic creativity. We then investigate the fit between dragon graphic creativity and brand core values, and use case studies to explore the application of dragon graphic creativity in IP image design in different industries. The findings of this thesis provide useful guidance and insights for designers and brands to better use dragon graphic creativity to create appealing IP images.
Preliminary Study on Landscape Design of Street Front Area in Commercial Block
Authors: Li Mengting , Liu Han
Published: September 2023

In the current situation of social development, the design of commercial blocks has gradually become a trend, and is also the key area of People's Daily life. The research should adhere to the principle of harmonious coexistence with the ecology, and establish the relationship between human and nature, architecture and so on. The landscape design of the frontage area of commercial blocks is inconsistent with the development of the current commercial space design. In order to realize the development of landscape design of the frontage area of commercial blocks, the relationship between man and nature and architecture is further discussed, and the landscape design of the frontage area of commercial blocks is studied for a more reasonable innovative development. Taking the reconstruction project of Juxinghui Commercial Plaza in Hengqin, Zhuhai, Guangdong as an example, this paper summarizes the landscape design of commercial street fronting area in Lingnan area. It is suggested that the landscape design of commercial street frontage area should pay attention to the balance of ecosystem and reduce the damage to the ecology as far as possible. While reflecting local characteristics, the influence of Lingnan climate on plant landscape should be combined, and the principles of commercial street design and landscape design should be followed in the whole design. Under the premise of satisfying the material culture, this paper explores the landscape design of the commercial street fronting area which is most suitable for people's leisure and entertainment from multiple perspectives.
Xinyang Maojian Series Packaging Design with Natural Tea Garden Theme
Authors: Li Zhuofan
Published: September 2023

Xinyang Maojian is one of the top ten famous teas in China and one of the cultural characteristics of the Central Plains. Its main producing areas are located in Shihe District, Pingqiao District, and Luoshan County in Xinyang City. However, there is still a certain gap in the influence of Xinyang Maojian compared to other famous teas, and there are also certain shortcomings in itself.
Khoomei Changes in the Way of Art Inheritance and Dissemination
Authors: Zhang Wuyun
Published: September 2023

This article discusses Khoomei Changes in the way of art inheritance and dissemination, and analyze these changes. Khoomei the impact of the development and inheritance of art. With the development of society and the progress of science and technology, Khoomei there have been many changes in the inheritance and dissemination of art. Traditional Khoomei art inheritance methods include word of mouth, master-apprentice inheritance and local traditional festivals. However, with the impact of modernization, the effect of these methods may be limited. New changes appear in many aspects: First, the changes of the times have made Khoomei art needs to adapt to the needs and aesthetics of modern life; secondly, the changes in the education system have promoted school education. Khoomei the recognition and inheritance of art; the popularization of the media is also Khoomei the spread of art provides a broader platform; the rise of the Internet has made Khoomei art can be inherited and shared online; international exchanges have promoted Khoomei global communication and cultural exchange of art. These changes are right. Khoomei the inheritance and development of art have had a far-reaching impact. While diversifying the inheritance methods, it is also necessary to protect the traditional Khoomei artistic value; innovation and personalization of artistic expression Khoomei art injects new vitality; global communication and cultural exchanges have been strengthened. Khoomei the influence and awareness of art. In response to these changes, this paper proposes to strengthen Khoomei countermeasures and suggestions for art inheritance and dissemination, including strengthening education and training, using media platforms to promote, and actively participating in international cultural exchanges. These countermeasures are conducive to protection and development. Khoomei art enables it to adapt to the needs of modern society and be recognized and disseminated worldwide.
Discussion on the Design Method of Combining Rigidity and Ease in Office Space Design
Authors: Wang Jiawen , Zhu Zhewen , Yang Yuyi
Published: September 2023

With the development of the times and changes in work methods, office space has gradually become the place where we spend the longest time outside of home in our daily lives. However, rigorous office space neglects people's psychological needs and does not take into account the relationships between people, people and space, and people and the environment. Therefore, the main purpose of this study is to design office spaces to meet people's psychological needs and regulate their initiative. This article first analyzes the importance of humanization in office space design, which combines rigor and ease. Then analyze from aspects such as layout, color, lighting, etc. Based on different spatial layouts, the impact of color matching on human psychology, and the different lighting used in different office environments, a study is conducted to ultimately create a good office environment.
Research on Modern Design and Functional Renovation of Industrial Heritage Buildings
Authors: Yang Yuyi , Wang Jiawen , Zhu Zhewen
Published: September 2023

When the People's Republic of China was founded in 1949, the poor and weak new China regarded building a complete industrialization system as its top priority. Therefore, the country quickly selected a large number of cities with advantages in location, economy, and resources to build various factories. These large-scale and rapid production factories have played a pivotal role in the development history of New China. They are not only the promoters and witnesses of the growth of New China, but also the memory of the times and the urban style of each city. Entering the 21st century, the process of urbanization has been accelerated. At the same time, along with industrial upgrading, a large number of old industrial buildings that have lost their functionality have been left idle or demolished. We are faced with the problem of how to deal with the development to meet the needs of social development in the new era. The main research object of this paper is the old industrial buildings left over from the upgrading and development of various cities in my country. Focusing on the many difficulties they are currently facing, the renovation design is carried out from the aspects of overall planning, building structure, building function, building shape, and ecological design.
Research on the Application of Without Thought in Commercial Space Wayfinding System
Authors: Fu Naiyun
Published: September 2023

Without Thought transforms people's behavioral habits and intuitive observation and thinking in daily life into visible design. The design of commercial space wayfinding system plays the role of guide. Based on the understanding of the concept of "Without Thought" and the relationship between shopping environment and people, this paper discusses the application of the concept of Without Thought in the design of commercial space. By analyzing the general overview of the current research on Without Thought and Wayfinding system by some experts and scholars at home and abroad, this paper summarizes the relevant literature, and combines the case analysis and research of Wayfinding system to prove that the combination of the two is conducive to the realization of more effective commercial system guidance design.
Vehicle’s Turning Time Span Estimation Based on Linear and Non-linear Computational Turning Model
Authors: Li Chenghao
Published: September 2023

The time span of a vehicle making turns, which is from the time a turn starts to the time the turn ends,  are the basis of determination of essential data of vehicle motion like slip angles, forces on tires, except the vehicle is in an ideal one-dimensional motion. When the road condition is sensed by sensors on vehicle’s driver assistance systems, how to take a turn is the next step that should be calculated. After the turn starts, the end time of the turn should be adjusted in real time to remedy the imperfection digital simulation of the road sensed by the sensors. This paper compares two turning models and proposes an algorithm to adjust the end time of the turning time span during the turning motion of the vehicle. Subsequently, the algorithm is applied to two classic models of car, BMW M3 and Chevrolet Cavalier in four common motions: U-turn, lane change, sharp U-turn and sharp lane change. The algorithm proposed can be applied to every scenario that should take use of the turning time length, including the mathematical model of crossings, traffic flow of rush hours, or simply estimate the time span in unmanned vehicle control systems.
Prediction Of Olympic Host Countries Based on Cluster Analysis, AHP, and EWM
Authors: Wang Xiaojia , Li Simeng , Peng Haoya
Published: September 2023

The continuation of human civilization must ensure that the Olympic Games can be held stably to maximize the world's benefits. The paper combines normalization and cluster analysis to establish an evaluation model of countries suitable for hosting the Olympic Games. Then we keep data convergence to develop an accurate evaluation scheme based on the entropy method and hierarchical analysis. The countries currently capable of stably hosting the Olympic Games were the United States, China, and Japan. The change of each index over time was predicted based on the cubic smoothing index. We anticipate the countries capable of hosting the Olympic Games after the next ten years in additional countries, such as the United Kingdom, South Korea, Mexico, etc. The political factors are simplified into functions according to the geographical location of the countries respectively. We predict the new countries that will be able to host the Olympic Games in the next twenty years, such as Switzerland, Austria, etc.