bluuebunny/crossref_metadata_2025 huggingface dataset:
Different variations from the same origin-- An exploration of contemporary lacquer art creation from the perspective of East Asian culture
Authors: Xu Jinghong
Published: August 2024

Lacquer art as a plastic art, derived from the liquid secreted by sumac tree, after 8,000 years of historical evolution, has become one of the traditional arts of China, Japan and South Korea. In contemporary creation, paint artists from these three countries skillfully integrate modern art language, design elements and innovative ideas on the basis of retaining traditional techniques and spirits, showing the spirit of exploration that combines "avant-garde" and "traditional". This article starts from the historical origin of East Asian lacquer art, and sorts out the development status and characteristics of contemporary lacquer art in China, Japan and South Korea.
Optimization Study on the Comprehensive Benefits of Straw Biogas Power Plants Participating in Electricity-Carbon Coupled Trading Based on Dual-Carbon Background
Authors: Ma Chunyue , Chen Tianyi , Zhao Yonghui , Zhao Fengxu , Tong Jiajun , Wang Yuwei
Published: August 2024

With the goal of "carbon peaking and carbon neutrality", China has accelerated the development of biomass energy, and straw biogas power generation, as a clean energy technology for converting agricultural waste, which has significant environmental and economic value. As a new energy generation enterprise, straw biogas power generation enterprises can gain profits from both the electricity market and the carbon market at the same time. This paper establishes a model for maximizing the daily operating revenue of straw power plant participating in the coupled electricity-carbon trading market by considering the revenue, cost, and relevant constraints of the power plant, then applies the model to practical cases to obtain the maximum daily operating revenue of the power plant of 90.16 yuan, and finally conducts a sensitivity analysis of the results to draw the relevant conclusions about the optimization of the economic benefits of straw biogas power plant.
Research on the Investment Value of PulteGroup based on Multiple Methods
Authors: Chen Haonan
Published: August 2024

This paper carefully evaluates the investment potential of PulteGroup Inc. (PHM) in the U.S. homebuilding industry and compares it with LENNAR Corporation and D.R. Horton Inc. And other important companies in the industry, such as Toll Brothers Inc., were compared. The analysis of this paper focuses on PHM's financial stability, market growth rate, profitability and strategic positioning. Despite external threats such as macroeconomic fluctuations, rising interest rates, and supply chain uncertainties, PHM has demonstrated strong market competitiveness and high investment value thanks to its low price-to-earnings Ratio (P/E) and expected market growth rate (PEG Ratio), as well as high gross profit margin in the competition. The comprehensive analysis points out that PHM, as a leader in the industry, is a high-quality investment choice worthy of consideration for investors in the current market environment.
Study on the Approaches to International Tax Dispute Resolution under the Belt and Road Initiative
Authors: Bai Zijun , Mao Yifan
Published: August 2024

With the development of the Belt and Road initiative (BRI), international cooperation has increased and more international tax dispute cases have occurred. A notable challenge is the inadequacy of mechanisms for the BRI contracting states to resolve these disputes, which undermines the effective implementation of tax agreements and obstructs mutual negotiation processes. This paper embarks on a comprehensive analysis of international tax dispute resolution mechanisms within the BRI framework, with a particular focus on dissecting the dispute cases between China and Tajikistan. These cases serve as a lens to scrutinize the prevailing issues and inefficiencies in the current system of international tax dispute resolution among BRI countries. By highlighting the procedural hurdles, legal ambiguities, and the lack of coherent mechanisms for dispute resolution, the paper sheds light on the crucial areas in need of reform. It argues for the necessity of refining international treaty provisions in tax agreements, diversifying the methods available for dispute resolution, and bolstering the enforcement capabilities of the contracting parties. Through detailed examination and analysis, this study contributes to identifying the gaps in the current framework and proposes targeted strategies to enhance the efficacy and fairness of international tax dispute settlement processes among BRI nations. The findings underscore the importance of collaborative efforts and legal reforms to address the complexities of cross-border taxation, aiming to facilitate smoother international transactions and strengthen economic ties within the BRI.
A Differential Game Model on the U.K. Government and Zero-emission Vehicle Manufacturer: method of Deep Reinforcement Learning
Authors: Xi Chuqing
Published: August 2024

In this paper, a model based on the Differential Game is constructed to solve out the optimized funding value to the Zero-emission Vehicles manufacturers' battery research for the U.K. government. Multi-Agent Deep Deterministic Policy Gradient, a Reinforcement Learning algorithm, is used to solve out the Feedback Nash Equilibria. The optimal model outcome is compared with the empirical data from 2016 to 2023 from Statista and solve out the optimal funding value for the future 12 years. Since the focus of the paper is seeking optimal solutions rather than predicting, we will analyse the action gap between the government and the optimal solutions. Through our analysis, we provide policymakers with actionable recommendations for maximising the effectiveness of government funding in driving innovation and the transition to sustainability. Our findings underscore the importance of strategic patience, an innovation ecosystem, and proactive engagement with the manufacturers on achieving optimal outcomes for the ZEV market and society.
Advancements in China's Tourism Sector within the Framework of the “Double Carbon” Policy: Based on the Analysis of Harbin's Tourism Peak Seasons
Authors: Chen Ziyu
Published: August 2024

With the rapid development of China's economy, the living conditions of Chinese residents have gradually improved. As material living conditions continue to improve, people's spiritual needs are accelerated, and the demand for tourism by Chinese residents is rapidly increasing. The environmental problems associated with tourism have also emerged. With China's "dual-carbon" goal, the "non-green" aspects of the tourism industry have been brought to the forefront of people's attention. To promote the high quality and sustainable development of China's tourism industry, responding to the "dual-carbon" goal is a necessary choice for China's tourism industry. At the same time, it is also necessary to pay attention to the current conditions of the tourism industry. This paper takes the tourists who have travelled to Harbin in the winter of 2023 as the target, and through the questionnaire survey, takes the recent Harbin "hot" out of the circle as an example, and comes up with the tourism influencing factors that are most concerned by the tourists at present. Subsequently, the reliability and validity of the questionnaire and the Pearson correlation coefficient model were used to analyze the reliability and validity of the questionnaire, as well as the influence of tourism factors, and to analyze the necessity of tourism development in response to the "double carbon" goal. Finally, the obtained tourism influencing factors are combined with the "dual carbon" goal to draw conclusions and give new development measures and directions.
The Construction on Output-Oriented PWP Project-Based Blended Teaching Model
Authors: Wang Yin , Zhang YuXuan , Chen Jiao
Published: August 2024

Academic English writing is an important part of academic English teaching, which aims to cultivate students' ability to use English for academic written communication. This essay tries to construct an effective teaching model with output-oriented and teacher-mediated approach assisting for students' professional learning and career development. The approach consists of three basic stages, namely pre-project motivating, while-project enabling and post-project evaluation, integrating with online and offline interaction, which effectively arouses learners’ academic interests, cultivates their academic capacity for “scaffolding” college students to participate in international academic exchanges.
Implications for Nash Equilibrium in Intelligent Transportation Systems and Allocation of Scarce Medical Resources
Authors: Zong Ziyi
Published: August 2024

The concept of Nash Equilibrium, originating from John Nash's seminal work in 1950, has evolved into a fundamental principle in game theory with applications across various disciplines. This essay delves into the practical implications of Nash Equilibrium, particularly in Intelligent Transportation Systems and the allocation of scarce medical resources. Through an analysis of contemporary research, this paper demonstrates how Nash Equilibrium is effectively employed in modeling traffic flows, optimizing traffic signal control, and managing route choices in transportation systems. Furthermore, it explores its application in strategically allocating medical resources during crises like the COVID-19 pandemic, ensuring efficient resource distribution and enhancing healthcare system resilience. While Nash Equilibrium offers valuable insights and strategies, its limitations in predicting stakeholder behavior and adapting to dynamic environments necessitate the development of more flexible models. Despite these challenges, the integration of Nash Equilibrium with AI holds promises for revolutionizing decision-making processes across various sectors, driving both theoretical advancements and practical applications in game theory. Overall, this study underscores the significance of Nash Equilibrium in understanding and managing strategic interactions, paving the way for improved efficiency and resilience in complex systems.
A Glance of China’s National Oil Companies’ Strategies through Game Theory: CNPC, CNOOC, and Sinopec
Authors: Li Menghan
Published: August 2024

As a matter of fact, game theory is a field of study that focuses on addressing how people or organizations interact in an attempt to achieve their goals. As mentioned by experts, this theory can be better called as the theory of conflict and cooperation since if there is conflict, a solution is necessary to deal with it and the possible result would always be according to the interest of the parties involved, either having higher payoffs or not. In this regard, oil and gas resources are highly valued assets, which can lead to conflicts due to varying interests among nations, governments, and companies involved in their exploration. Thus, this study utilized a few strategies of game theory to explore its effectiveness in China’s energy sectors, particularly with its largest state-owned oil companies (i.e., CNCP, CNOOC, and Sinopec). It is discovered that through prisoners’ dilemma or producers’ dilemma, and stag hunt games, these three companies created partnership and joint developments to achieve their goals and maximize their payoffs.
The Impact of Land Rights Confirmation Policy on Rural Land Circulation -- Empirical Analysis Based on DID
Authors: Lyu Lanqing
Published: August 2024

Rural land ownership confirmation is an important measure of China's fundamental agricultural reform. While safeguarding the legitimate rights and interests of rural families, land ownership confirmation changes the structure and intensity of their land property rights, and affects the circulation of rural land, optimizing the allocation of rural land and labor resources. This article focuses on the perspective of policy evaluation, based on data from provinces, regions, and cities across the country from 2010 to 2021, and uses the difference-in-difference method to explore the impact of rural land rights confirmation policy on land circulation. The results show that the implementation of rural land ownership confirmation policies in China has a significant promoting effect on land transfer. Based on this, suggestions are proposed to strengthen the understanding of rural land rights confirmation, continuously improve the rural land registration and guarantee system, and improve the land transfer market, to enhance the impact of rural land rights confirmation policy on land transfer.
Changes in the Sex Ratio of Species Based on the Lotka-Volterra Equation
Authors: Tong Junjie
Published: August 2024

Changes in sex ratio have an important impact on the species as well as the surrounding ecological environment. In this paper, a predator-prey model and the Lotka-Volterra equation were developed to study the population dynamics of the species and the relationship between the changes in sex ratio, taking lampreys as an example. A sex-ratio adjustment function  was introduced to modify the model to simulate the effects of populations of species with different sex ratios on prey abundance compared to populations with a standard 1:1 sex ratio. At the same time, the evolutionary trend of the ecosystem under different scenarios was investigated by modelling the system dynamics of species populations with other species based on the Lotka-Volterra equation. After incorporating the quantitative relationship between food availability and the sex ratio of species populations to refine the model, the effects of changes in sex ratio on the ecosystem were again analysed.
The Impact of Corporate ESG Performance on the Cost of Debt Financing -- An Empirical Test Based on A-Share Listed Firms
Authors: Chen Kexin
Published: August 2024

With the transformation of China's economy from high-speed development to high-quality development, green development has become a basic requirement for high-quality economic development, and ESG has gradually become an important indicator for measuring corporate sustainable development. Based on the annual data of 1970 listed companies in Shanghai and Shenzhen A-shares from 2015-2022, this paper empirically examines the impact of firms' ESG performance on the cost of debt financing. The results show that companies with better ESG performance have lower debt financing costs. Further analysis shows that the impact of ESG performance on debt financing costs is more significant for non-state-owned enterprises.
Research on Video Electronic Stabilization Technology Based on ShiTomasi Corner Detection
Authors: Deng Yong , Zhang Yutao
Published: August 2024

Video stabilization technology based on ShiTomasi corner detection has broad applications in intelligence surveillance, medical examination, and security monitoring. The research on video stabilization technology is crucial due to the inevitable mechanical vibrations affecting embedded cameras during use, leading to video jitter and compromising image quality. This paper proposes a video stabilization scheme based on the ShiTomasi corner detection method. The ShiTomasi algorithm is robust and accurate, effectively extracting corner features in videos. To further improve stabilization accuracy, a new weighted voting mechanism is designed, combining three-dimensional directional information to avoid mismatches in corner matching and enhance the accuracy of block matching. Specifically, this paper employs an adaptive search area and a multi-level feature detection method to process each video frame, ensuring the accuracy and robustness of corner detection. Additionally, an improved Kalman filter is introduced to reduce the impact of mismatched points on the stabilization results. In summary, the ShiTomasi algorithm-based video stabilization system designed in this paper not only enhances the speed and efficiency of video processing but also improves the precision and stability of stabilization.
The Mystery of the Blind Box Economy from the perspective of behavioral economics
Authors: Yan Danhua
Published: August 2024

Nowadays, the blind box economy is hot, and the blind box market has huge potential. Under the domination of irrational choice, consumers buy blind box products in large quantities and enjoy the fun of opening blind boxes. Based on behavioral economics, this paper analyzes and elaborates the causes of the blind box economy from five aspects, namely, crowd psychology, comparison psychology and conspicuous consumption, experience economy, psychological account, availability inspiration and flip-flop effect, to reveal the economic causes and point out the regulatory pain points of the "blind box boom". In addition, this paper puts forward relevant suggestions on the difficulties in regulating the blind box economy.
Prediction Of Criminal Sentence for Dangerous Driving Based on Probability Graph Model
Authors: Liu Boyang
Published: August 2024

In order to improve the accuracy and efficiency of predicting the sentence for the crime of dangerous driving, this article analyzes the application of probability graph models in judicial reasoning. By constructing an accurate model of complex evidence relationships and integrating uncertainty information in court evidence, the results show that the model can effectively support judgments and improve the transparency and fairness of judicial decision-making. In addition, the interpretability of the model provides legal professionals with a clear view of the decision-making process, enhancing the scientific and rational nature of legal judgments.
Analysis of NVIDIA's Strategic Business Philosophy
Authors: Gong Chuanzhi
Published: August 2024

While many companies have been hit on different scales in recent years by the COVID-19 epidemic and global geopolitical conflicts, an analysis of NVIDIA's financial statements over the past few years reveals that NVIDIA is demonstrating its profitability at a phenomenal rate of growth. To explore the source of this profitability of NVIDIA, this paper analyses and suggests the growth of the company's profitability in these four years by analyzing NVIDIA's competitors and by using SWOT analysis on NVIDIA itself. The conclusion finds that NVIDIA has fully grasped the dividends brought by the AI era by taking advantage of its previously accumulated technological strengths. In conclusion, the investment prospects of NVIDIA Corporation are very bright, and investors can invest on the basis of a certain understanding of the relevant technological developments and market changes. At the same time, for NVIDIA's competitors, NVIDIA's success is not unrepeatable, so the recommendations set out in this paper are also inspiring to these semiconductor industry leaders.
Impact Of Healthcare System on Population Aging: A Case Study of Yunhe District Nursing Home in Cangzhou City, Hebei Province
Authors: Fu Xingyu
Published: August 2024

The issue of aging population is one of the key research topics today. Researchers have found progress in the issue of population aging, but there is still a gap in the issue of population aging. Therefore, the research topic of this article is the impact of healthcare on population aging. The research method of this article is as follows: Firstly, collect data on the elderly population of nursing homes in Yunhe District, Cangzhou City, and secondly, understand and analyze whether the data has been effectively favored by healthcare policies. The most direct finding of the research is that the shortcomings of medical insurance policies include: (1) Low reimbursement rates for medical insurance; (2) The medical insurance catalog is incomplete and incomplete; (3) Insufficient management at each level of the medical insurance system; (4) Medical insurance services are not humanized and inadequate; (5) The level of medical insurance services is low. Therefore, it is necessary to improve the design of the medical insurance system, strengthen the management of medical insurance funds, and improve the quality of medical insurance services. Finally it will provide a high-quality and universal medical insurance service management system for all citizens. Some measures can be taken to address this, including increasing the expansion of medical institutions, expanding medical insurance coverage, and strengthening grassroots medical services in society.
Research on the Investment Value of eBay based on PEST, Financial and Valuation Methods
Authors: Yao Chuxin
Published: August 2024

The e-commerce industry, as an important component of the global economy, has shown a rapid development trend in recent years. In this industry, eBay, as a well-known e-commerce platform, has attracted the attention of many investors with its unique business model and strong market competitiveness. This article conducts an in-depth analysis of eBay's investment value and provide useful references for investors. PEST is used to analyze the external environment of eBay, which reflects a relatively stable political and economic condition. Financial analysis shows that eBay's revenue has steadily increased in recent years, with good profitability and providing strong support for the company's sustainable development. Moreover, for eBay’s valuation results, it has relatively lower P/E ratio and PEG. In this case, eBay may be undervalued. However, with the continuous development of the e-commerce industry and the acceleration of digital transformation, eBay is actively adjusting its strategy, increasing investment in artificial intelligence, big data, and other fields to improve user experience and service quality. Based on the findings of this paper, it is convinced that eBay has favorable investment value.
Research on the Influencing Factors of Heart Disease based on Binary Logit Regression
Authors: Cheng Yinuo , Liang Haiyang , Ma Xirui , Yang Zizhou
Published: August 2024

The heart is an important organ of the human body and plays an important role in the functioning of the human body. Heart disease has the greatest impact on the circulatory system. Patients will suffer from insufficient circulation blood supply, which will affect their health, including obvious chest tightness, shortness of breath, palpitations, pain in the precardiac area, discomfort in the precardiac area, accompanied by fatigue and difficulty in breathing. The study looked at clinical factors affecting heart disease. The dataset included 819 clinical cases and 12 variables, such as blood pressure, type of chest pain, etc. The target variable was whether a person had been diagnosed with heart disease. In this study, the accuracy of the first training set was about 88%, so the logistic regression results were acceptable. This model examines the factors that influence heart disease and can be useful in predicting heart disease. The conclusion shows that the risk of heart disease may be related to age, oldpeak, ChestPainType, MaxHR, FastingBS, cholesterol, ST slope and exercise angina pectoris.
The Impact of Property-Purchasing Limitations Policy on Housing Price: Evidence from Xiamen and Shantou
Authors: Wu Mingde
Published: August 2024

In 2010, the Chinese government published the property-purchasing limitations policy to restrain the rising housing prices. From May 1st, Beijing households are limited to purchasing only one property. They are required to complete a family member condition form to prevent fraud and buyers who tend to speculate on housing prices. The property-purchasing limitations policy is then carried out in 49 cities that are above the prefecture level. Since 2004, an increase in the living standards in tier 1 cities such as Beijing and Shanghai have attracted an abundance of people from other cities to relocate to tier 1 cities. Since then, housing prices have increased as the demand for properties has increased. This essay will discuss the effect of housing prices due to the existence of property-purchasing limitations policy in Xiamen and Shantou. According to the analysis, the existence of a property-purchasing limitations policy in the short run does not restrain the increasing housing price but does restrain the housing price in the long run. However, the effect could be more remarkable, leading to other reasons affecting housing prices, which could be discussed with possible reasons in the following essay. Overall, these results shed light on providing a more healthy and balanced real estate market.
A study of vegetable replenishment and pricing based on ARIMA modeling
Authors: Yang Yixin , Zhang Kai , Zhou Zehan
Published: August 2024

With the increasing diversification of consumer demand, price fluctuation and supply of vegetables have become key factors affecting the operation of fresh food supermarkets, but the lack of effective formulation strategies for fresh food supermarkets has led to the loss of revenue and efficiency. In this paper, the ARIMA prediction model is constructed by using the optimization of grid search theory, and combined with a large number of actual sales data for verification. The prediction results of the model are compared and analyzed with the actual data, and it is found that the two show significant consistency, thus highlighting the excellent performance of the model in the prediction of vegetable replenishment volume and sales price. This study will contribute significantly to the economic effectiveness of fresh food retailing.
Assessing the Effect of Public Policy on Women's Workplace Conditions in China through SWOT Analysis
Authors: Guo Zhiyan
Published: August 2024

With the rapid development of society, women's social status have been paid more and more attention. In order to understand the impact of maternity leave policy and three-child policy on working women’ s social responsibilities, this paper adopts the SWOT analysis method to study women's working environment from perspectives of strengths, opportunities, weaknesses, and threats. After careful consideration and analysis, it is concluded that both policies ultimately cause more harm to women. In order to cultivate a more supportive and inclusive work environment for women, the study offers recommendations such as implementing gender-neutral maternity leave policies encouraging telecommuting, and providing training opportunities for female employees. These measures aim to contribute to gender equality and societal progress.
Exploration of User Experience Design Optimization for the Campus Library Information Management System
Authors: Li Dongjian
Published: August 2024

As an important bridge connecting library resources and users, the user experience design of the campus library information management system directly affects users’ perception of usage. With the development of information technology and the wide application of artificial intelligence technology, the development of libraries in the digital era needs to keep pace with the development of new technologies to further enhance their knowledge service capabilities. For the future campus library information management system, complex information scenarios and personalized knowledge service demands put forward higher interaction design requirements for intelligent applications. This article believes that user-centered intelligent interaction experience lies in fully understanding the intentions of users. With the development of voice recognition, motion recognition, biometrics, and other technologies, the design focus of products and services in intelligent interaction is no longer limited to meeting functional needs, but gradually moves towards providing a more intelligent, continuous, and immersive user experience. Therefore, this study starts from the perspective of user experience design, optimizes the interactive functions of the current library information management system, and explores a new user-oriented framework for campus library interactive services.
Efficiency of Trading Strategies in Portfolio Optimization
Authors: Guo Jinteng
Published: August 2024

This study investigates three commonly used methods for timing stock trades and assesses their performance over a decade. The advent of new technologies has sparked a surge in the development of diverse trading strategies tailored for investment portfolio management. Nevertheless, the suitability of these strategies for portfolio integration varies, and some may yield adverse outcomes. For instance, a speculative trading approach might lead to significant losses. Using data spanning ten years, we evaluate the effectiveness of three main trading strategies that identify when stocks are likely to rise or fall, considering metrics such as return rate, Sharpe ratio, and maximum drawdown. Additionally, we explore potential improvements and the optimal scenarios for applying each strategy. Through this comprehensive analysis, our goal is to offer insights into how these strategies perform and when they're most effective. This information can be valuable for undergraduate-level investors in making informed decisions about managing their investment portfolios.
Research On Cargo Volume Prediction at Sorting Centers Based on Multiple Machine Learning Models
Authors: Xing JieBo , Zhang YiFei
Published: August 2024

Forecasting cargo volume is a crucial part of the workflow in sorting centers and has a significant impact on their operational capabilities. This paper considers a variety of machine learning methods to predict future cargo volumes at sorting centers. By analyzing the variance and mean differences in cargo volumes across different centers in the dataset, multiple features were extracted, including historical cargo data, time series features, and individual trend indicators for different centers. These features were used to train the feature sets for Random Forest models, Neural Network models, and Linear Regression models. Additionally, this paper evaluated the prediction performance of these machine learning models using the MAE, MSE, and RMSE metrics. Ultimately, the Random Forest model, which showed the best evaluation results, was selected to forecast future cargo volumes at sorting centers. The predicted results from the Random Forest model showed that for sorting center SC1, the MAE was 0.085, MSE was 0.313, and RMSE was 0.177; for sorting center SC35, the MAE was 0.072, MSE was 0.019, and RMSE was 0.176. These results indicate that the Random Forest model developed in this study is highly accurate in predicting cargo volumes at sorting centers.
Assessment of the Impact of the Beijing-Tianjin-Hebei Coordinated Development Strategy on Economic Development - An Empirical Analysis Based on the Difference-in-differences Model
Authors: Guo Pengyi , Jiang Wenrui , Wang Xiaonuo , Zhao Pengfei
Published: August 2024

In recent years, the coordinated development strategy of the Beijing-Tianjin-Hebei region, as an integral component of China's national strategy, has garnered significant attention. However, there remains a lack of comprehensive understanding regarding its actual impact on economic development. This paper aims to utilize a doubly-difference model to delve into the influence of the BTH coordinated development strategy on economic growth and provide insights for relevant policy formulation. Leveraging abundant regional economic data, this study employs a doubly-difference model for empirical analysis, systematically evaluating the strategy's impact on economic development from both temporal and spatial perspectives. The research reveals that following the implementation of the BTH coordinated development strategy, notable trends in regional economic development emerge. These trends include a significant increase in per capita GDP, a gradual optimization of industrial structure, and a positive shift in overall economic development indicators. In summary, the findings suggest that the BTH coordinated development strategy has played a constructive role in promoting economic growth, albeit requiring further refinement and deepening. This study contributes to a deeper understanding of the practical effects of China's regional coordinated development strategy, offering valuable insights for policymaking considerations.
Portfolio theory in investment decision making: Evidence from NVIDIA and Costco
Authors: Zhang Xiaoxuan
Published: August 2024

Investors always seek to get returns in the financial market. However, due to the risk-averse nature of investors, they wanted to gain the maximum return with the lowest risk. Therefore, many investors diversify their portfolios to mitigate the existing risk. NVDA and COST, from NVIDIA Corporation and Costco Whole Sales Corporation, are two pervasive stocks in the market. This research will construct a tool for investors to balance risk and return through several variables, for example, expected return, standard deviation, and Sharpe ratio, for all possible portfolio combinations so that investors can acknowledge the best outcome at their preferred level of risk or reduce risk while meeting their requirements. In addition, this research will also provide a method to build the most efficient portfolio that includes NVDA and COST, which may become a practical reference for many investors. Modern portfolio theory is selected as the theory base of this article, and the Excel Solver is operated to investigate the portfolio’s efficiency. By dealing with the historical data of NVDA and COST between 2014/1/2 and 2023/12/29, a series of calculations, and using the Excel solver, it can be concluded that (23.875%, 76.125%) is the optimal combination of weight of portfolio for investors with the most significant Sharpe ratio.
Speech Recognition Classification Leveraging a Spiking Neural Network Training Algorithm Based on Tempotron
Authors: Ma Erbin , Ge Wenxin , Xiao Chongxuan
Published: August 2024

This paper examines the potential of Tempotron-based spiking neural network (SNN) training algorithms for speech recognition classification. Initially, the speech signal dataset was processed, with the signal decomposed into different frequency bands through Mel filter banks and the variations in speech intensity encoded using latency encoding techniques. These encoded features were then used as inputs, generating a feature map through the self-organizing map (SOM) unsupervised learning algorithm. This map reflected the similarity and topological structure between different features, providing a more abundant and abstract feature representation. Subsequently, for the task of speech signal classification, the paper established a two-layer SNN based on event-driven mechanisms, employing the improved LIF neuron model for information transmission. The network was then trained using the optimized Tempotron learning algorithm. Finally, the feature spike sequences extracted by the SOM were used as the input for the SNN. Five different weight update rules were employed in the Tempotron learning algorithm, and the resulting accuracy was recorded. The results of the experiment indicated that the combination of the Adam optimization algorithm with the Tempotron learning algorithm achieved a classification accuracy of 98.53%. This evidence demonstrates the efficacy of this paper in optimizing the Tempotron learning algorithm, which will inform future research aimed at enhancing classification results.
The Application of DCF in Company Valuation: Case of NVIDIA
Authors: Le Xi
Published: August 2024

Company valuation has always been a crucial theme in financial analysis and corporate management. It plays an important role in both corporate strategic adjustment and investment selection. NVIDIA is an American leading technology company dedicated to expanding into various areas including graphics processing units (GPUs), artificial intelligence (AI), autonomous vehicles, data centers, and other products. The stock of NVIDIA has been rising for several years and attract much attention from investors. Therefore, this paper combines DCF model with Fundamental analysis to value NVIDIA. Results of Fundamental Analysis shows that NVIDIA is in an accelerating technical environment.  It has the product advantages in graphics processing units (GPUs) and artificial intelligence. From the results of DCF model, NVIDIA is outperforming as the current stock price far exceeds the estimated one, which shows that Nvidia's current share price is overvalued. Through case study, not only can it help the company position itself correctly, but also provide investors with a stock selection reference.
Data Pre-processing method of Ground Penetrating Radar based on HE-R2M
Authors: Chen Jiahe , Li Yi
Published: August 2024

Ground Penetrating Radar (GPR), as a non-destructive detection technology, has been widely used in infrastructure construction, tunneling, agriculture and forestry. It has the advantages of fast detection speed, high accuracy and non-destructive detection. However, GPR is often affected by the interference of subsurface media when facing complex geological environments, resulting in low contrast, high noise and clutter interference in the acquired B-scan images, which seriously affects the detection of subsurface structures and imaging performance. In order to improve the quality of images acquired by GPR in mixed soil media, this paper proposes HE-R2M (Histogram Equalization with Remapping and Morphology) image enhancement algorithm for preprocessing B-Scan images with respect to B-scan hyperbolic features of underground targets. The algorithm is based on the histogram equalization algorithm to initially enhance the image, and for the B-Scan image features, combined with the histogram interval remapping method and morphological processing, it can successfully suppress the clutter features in the B-Scan image while retaining the effective information of the hyperbola. The effectiveness and robustness of the algorithm are verified through simulation and real experiments. The proposed HE-R2M image preprocessing algorithm provides a potential idea for the application expansion of GPR, and offers an effective solution to improve the performance of underground structure detection and imaging.
Analysis of Ecological Integration and Sustainable Development in the Context of Urbanization - A Case Study of the Yangtze River Delta Region
Authors: Bao Rong
Published: August 2024

In 2015, countries that members of the United Nations jointly adopted the Sustainable Development Goals (SDGs) to be achieved by 2035, which include 17 contents including health, society, education, environment, and any other aspects. As an important member of the United Nations, China strongly supports and promotes sustainable development. Urbanization is an important process of city development. In the process of urbanization, the needs of cities often lead to environmental destruction. This is not conducive to sustainable urban development. Environmental restoration and management are necessary to promote sustainable urban development. As one of the most urbanized regions in China, the Yangtze River Delta has a guiding role in the national sustainable development process. Due to the goal of synergistic development of the Yangtze River Delta region, the integration of environmental governance is also an important part of it. This paper will focus on the relationship between environmental integration and sustainable development in the context of urbanization, and explore the policy path of environmental integration and environmental co-goverence in the Yangtze River Delta region.
Image-based Facial Emotion Detection SYSTEM
Authors: Zhang Cheng
Published: August 2024

This paper proposes an image-based approach for emotion reco2gnition, aiming to infer human emotional states through the analysis of facial expression images. Firstly, we introduce the research background and significance of emotion recognition technology, and review current mainstream methods for emotion recognition. Secondly, we provide a detailed description of the design and implementation process of the proposed emotion recognition system, including key steps such as data preprocessing, feature extraction, and model construction. In the experimental section, we conduct systematic performance evaluations and comparative experiments using publicly available datasets, validating the effectiveness and accuracy of the proposed method. The experimental results demonstrate that our approach achieves outstanding performance in emotion recognition tasks and exhibits strong generalization capability. Finally, we discuss the limitations of the proposed method, future research directions, as well as the potential value and challenges in real-world applications. Through this research, we contribute to the further development and application of image-based emotion recognition technology.
Analysis of Two Game Theory Models: Cournot Model and Stackelberg Model
Authors: Gao Jiefu
Published: August 2024

Game theory has long been an important branch of economics, and many of its models have been able to find specific examples in real life. It solves practical problems by considering the predicted and actual behavior of individuals in the game and studying their optimization strategies. This article focuses on two classical models in game theory, the Cournot model and the Stackelberg model, and compares the two models from the perspective of the fundamental model and two special cases, respectively. Firstly, the paper introduces two basic models, enumerates real cases, and deduces the function relation of the optimal production quantity of each enterprise. Then, considering that production quantity and profit may be related to cost, number of enterprises and other factors, the paper changes the relationship between the number of enterprises and cost to explore the impact on the two models. To make the results more intuitive, the authors plug in two sets of data to calculate the profits in each case. The results show that when the number of firms increases, the profits obtained by both Firm1 and Firm2 in Cournot's model decrease. In Stackelberg, Firm 2 made half as much profit as Cournot, and Firm 1 remained the same. With different costs, firms with smaller production costs produce larger quantities and profits. In conclusion, this study compares the two models from the basic case and two additional cases, analyzes which model should be chosen respectively in which cases, and provides effective strategies for real life firms.
The Impact of AI Development on the Future Development of Financial Industry
Authors: He Siyuan
Published: August 2024

In the information age of the 21st century, the rapid development and widespread application of artificial intelligence (AI) technology is profoundly changing the way we live and work, especially in the financial industry. This paper aims to define AI technology and its fundamental applications in the current financial industry, and explore its potential impact on the future development of the financial industry. The introduction of AI technology not only optimizes the operational efficiency of financial institutions and reduces operational costs, but also opens new avenues for personalization and innovation in financial services. However, all this progress comes with challenges such as data security, privacy protection, regulatory compliance, and ethical responsibility. Studying the impact of AI on the financial industry can provides a reference for financial institutions to make decisions on technological innovation and business development, and provides a basis for policy makers to formulate relevant policies and norms.
Research on Fresh Produce Delivery Scheduling Problems under the Perspective of Community E-commerce
Authors: Huang Zhongxuan , Wu Di , Zhong Chunyan
Published: August 2024

This paper addresses the challenges associated with the high costs and logistical difficulties in the distribution of fresh agricultural products from the perspective of community e-commerce. The paper takes the perspective of merchant scheduling and integrates a classical vehicle scheduling model. The study meticulously examines the various costs associated with the distribution process, encompassing fixed costs, transportation costs, refrigeration costs, storage costs and time subsidies. A vehicle routing optimisation model was developed with the dual objectives of cost control and product quality assurance. The use of a genetic algorithm for analysis and solution indicates that this approach can achieve superior cost efficiency and more optimal delivery routes. The results not only confirm the validity of the model and the effectiveness of the solution algorithm, but also provide theoretical underpinnings and viable optimisation strategies for analogous route optimisation challenges. This research has significant reference value and practical relevance for improving delivery efficiency and cost management in community e-commerce.
Research On Design for The Elderly-Friendly Space
Authors: Cui Shuyan
Published: August 2024

The elderly care service project is a pivotal and far-reaching initiative that underpins the long-term development of a nation. Within this framework, the design of aging-friendly spaces assumes a crucial role, bridging social security measures, medical resource allocation, and the quality of life for the elderly. As living standards continue to rise, so too does the elderly population's expectation for comfort and variety in their care spaces. Nevertheless, current aging-friendly space designs tend to lag behind, often adhering to outdated design concepts and homogenous layouts, thereby compromising their functionality and adversely affecting the living environment and quality for the elderly. Therefore, drawing upon diverse data from the National Bureau of Statistics of China, the Ministry of Health, Labour and Welfare of Japan, and relevant manuals, we intend to undertake a study on aging-friendly space design, focusing on the physiological and psychological needs of the elderly. Our objective is to minimize the risk of accidents in their daily home activities and elevate their quality of life.
Optimization of parts logistics network in East China based on multiple delivery methods
Authors: Xi Dahao , Wu Qian
Published: August 2024

This paper mainly discusses the optimisation strategy of FAW Logistics in parts logistics network management. For the pickup programme of parts logistics, it combines multimodal transport and third-party logistics. For orders from different suppliers, diversified pickup methods are adopted, mainly including direct delivery, circular pickup, and transshipment through distribution centres. For orders with large volumes, direct trucking is used to reduce transit and improve efficiency. For orders from suppliers in Hubei Province, circular pickup is used. For large-volume orders, large transport vehicles are chosen to be used directly to reduce costs and transport time. Most orders from Wenzhou and Taizhou are transshipped through Zhejiang or Shanghai distribution centres. By optimising the scheme, a 24.84% reduction in cost was achieved for the same order cycle, significantly improving logistics efficiency and economy. This study not only has practical guidance significance for the enhancement and change of FAW Logistics' development strategy, but also promotes the company's sustainable development.
Analysis The Reasons for The Drop in Violence at The Qatar Football Cup
Authors: Xia Xinhao
Published: August 2024

With the slow decline of the epidemic's influence on people's lives, numerous international sporting events eventually recommenced. Within this particular framework, the Qatar 2022 FIFA World Cup has progressively captured the attention of the general public. This event serves as both a recreational activity and a commemoration of liberty, athletics, and well-being. This research focuses on the examination of the fan violence community during the 2022 FIFA World Cup in Qatar, with a particular emphasis on dysfunctional fans. This report uses event review and bibliometrics as its research approach. An extensive body of existing research literature was utilized to investigate the factors contributing to the decline in fan violence during the Qatar World Cup. In the end, it was determined that the issue was connected to the British government's prohibition of passports and the implementation of widespread surveillance. Nevertheless, due to the temporal gap of one year after the occurrence and the nascent stage of the research, the derived results lack reliability.