bluuebunny/crossref_metadata_2025 huggingface dataset:
Physical Literacy Levels and its Influence on Performance and Injury Prevention Strategies among Basketball Players
Authors: Huang Lin , Dapat Rizal.O.
Published: June 2024

This study evaluates the impact of physical literacy on basketball athletes' performance and injury prevention methods. A thorough evaluation was carried out on a group of basketball athletes to examine their physical literacy, encompassing several aspects such as behavior, positive impact, motivation, and motor skills. The research additionally examined the correlation between physical literacy and diverse performance metrics, encompassing skills, agility, endurance, and strength. Furthermore, it explored the connection between physical literacy and injury prevention strategies, encompassing strength and conditioning, warm-up and cool-down regimens, rest and recovery, and sports psychology methodologies. The study's findings revealed a statistically significant association between physical literacy and performance and injury prevention techniques. This underscores the need to incorporate physical literacy principles into basketball training regimens. The results emphasize the necessity of customized interventions and educational programs designed to improve physical literacy in basketball players to maximize performance and reduce the risk of injuries. This research study provides significant contributions to the understanding of the impact of physical literacy on basketball, hence informing future investigations and practical applications in the realms of athlete development and injury prevention within the sport.
Culturally Responsive Teaching Practices and Student Attitude Towards Learning the English Language in China
Authors: Lan Qing
Published: June 2024

This study investigated the relationship between culturally responsive teaching practices and student attitudes towards learning English language among senior high school students in China. The study used a descriptive-comparative correlational design and a survey questionnaire to collect data from 491 students from five different schools. The study found that the level of culturally responsive teaching practices perceived by students was average and that there was no significant difference in the level of culturally responsive teaching practices based on the students' demographic factors. The study also found that the students had positive attitudes towards learning the English language and that there was a significant positive relationship between culturally responsive teaching practices and student attitudes. The study concluded that culturally responsive teaching practices can enhance student motivation and academic achievement in English language learning and recommended the development of professional development programs and curriculum materials that support culturally responsive teaching.The findings of culturally responsive teaching practices show that all measured dimensions-Diverse Teaching Practices, Cultural Engagement, Diverse Language Affirmation, Self-Efficacy, Outcome Expectations, and overall, Culturally Responsive Teaching Practices-are "evident". Among these, Diverse Teaching Practices and Diverse Language Affirmation have the highest values, indicating a strong presence in the educational setting.The findings of students' attitudes toward learning the English language reveal that all aspects measured are "very positive". The dimensions assessed include Attitude towards English Speakers, Integrative and Instrumental Orientation, Interest in English, Attitude towards English Class, and Attitude towards English Teacher. The highest mean score is observed for Attitude towards English Teacher, closely followed by Interest in English, indicating that students hold their teachers in high regard and have a strong interest in the language itself. Attitude towards English Speakers and Integrative and Instrumental Orientation both have the same level, reflecting very positive attitudes toward English-speaking individuals and the practical as well as intrinsic motivations for learning the language. Attitude towards English Class has a slightly lower but still very positive mean. Collectively, these findings suggest that students maintain a highly favorable attitude towards all aspects of learning English, which is crucial for fostering an effective and engaging learning environment.
Effect of Green Supply Chain Management and Corporate Social Responsibility Practices on Small and Medium Enterprises
Authors: Sun Yuejiao
Published: June 2024

This article examines the impact of green supply chain management and corporate social responsibility on small and medium-sized enterprises. It emphasizes the importance of sustainability, environmental protection, and social responsibility in achieving economic benefits. Green supply chain management helps establish an environmental image, increase product value, and attract more consumers and investors, enhancing corporate competitiveness. As environmental regulations strengthen, small and medium-sized enterprises face increasing environmental pressure. Green supply chain management reduces resource consumption, environmental impact, and risks, promoting long-term stable development. Corporate social responsibility practices improve a company's social image, visibility, and partnerships with stakeholders, creating favorable conditions for long-term growth. These practices also require continuous innovation and management progress, fostering trust relationships with suppliers, customers, and investors. By implementing these practices, small and medium-sized enterprises can provide a better working environment, improve employee satisfaction, and reduce talent loss. The research results have significant theoretical and practical implications for promoting sustainable development in these enterprises.
Machine Learning Algorithms in Target Marketing Analysis
Authors: Wu Jiayu
Published: June 2024

Target marketing places a crucial rule in nowadays business. It allows companies to recommend the right products to the right clients. Companies with existing clients’ data are able to gain customer insights with machine learning algorithms to better target the potential clients during a marketing campaign. This study is written to employ machine learning algorithms to predict the success of a target marketing campaign. The existing data of clients from “Trips & Travel.com” company is used to forecast who will purchase a newly introduced travel package with 10 supervised classification algorithms, such as Ensemble Bagging, Neural Network, and Logistic Regression. With the 4888 records of clients and 19 independent variables, these models are trained to predict whether the clients will have a chance to purchase the new released package. This paper compares the results from the 10 classification models with Area Under the Curve (AUC) and Kolmogorov Smirnov (KS) scores, and the results shows that Random Forest outperforms other 9 models. The result of the comparison implies that only targeting the clients who are classified as the targeted segment can increase the result of marketing campaign dramatically and lower the cost of the campaign at the same time.
The Influence of Equity Incentive on Corporate Debt Default Risk
Authors: Wang Ting
Published: June 2024

As researchers show more interest in debt default risk, work on influencing factors of this risk is put a particular emphasis. Because risk preference of management and corporate financial condition cannot be explained by their traits perfectly, this paper has argued association between equity and debt default risk. Selecting 323 listed enterprises as sample, the study uses descriptive analysis and multiple linear regression analysis to determine the relationship of these two indicators. According to the analysis results, large proportion of equity incentives to the total share capital has passive impact on financial condition. It brings heavy credit burden to companies while large proportion of managerial ownership can decrease debt default risk and promote the stability of financial system. This paper strengthens the idea that there is reasonable and significant association between equity incentive and debt default risk. It also proves that different measuring factors of equity incentive have different directions effects on corporate debt default risk.
The Relationship between Familial Aspects and Physical Activities among Middle School Students in China
Authors: Long Zhendong
Published: June 2024

The purpose of this study is to explore the relationship between familial aspects and physical activities of middle school students, and to provide a theoretical basis for promoting physical exercise behavior of middle school students. By using the methods of literature, questionnaire and mathematical statistics, the author made a questionnaire survey on 481 middle school students. The results showed that gender and grade had significant effects on familial aspects and physical activity. The familial aspects have a significant effect on physical activity. Conclusion: parents play a key role in encouraging physical activity, underscoring the need for family-centred strategies in promoting physical activity; gender and grade levels play a crucial role, which points to the need for a tailored approach in promoting family-oriented sporting activities.
The Present Situation, Problems and Countermeasures of Junior Middle School English Classroom Teaching Structure
Authors: Zhang Liyue
Published: June 2024

Since the English curriculum reform, junior middle school English classroom teaching has made continuous progress in theory and practice, and the teaching level has been greatly improved. But there are still many problems in the teaching structure of junior middle school English classroom teaching, such as the chaos of teaching structure, the lack of coherence of teaching transition language and so on. This paper studies the structure of junior middle school English classroom teaching from three aspects: current situation, problems and countermeasures.
Research on vegetable pricing and replenishment strategy based on genetic algorithm
Authors: Liang Minjie , Xie Yufei , Xie Shiyu
Published: June 2024

In this paper, the average sales volume and cost plus pricing of 6 categories of vegetables are calculated. The regression analysis is carried out by using R language. Then, with profit maximization as the objective function and annual sales volume, replenishment volume, unit price of sales and loss rate as the constraint conditions, a quadratic programming model is established. The total replenishment of flowers and leaves, cauliflower, aquatic rhizome, capsicum, nightshade and edible fungi from July 1 to 7, 2023 was 111.27, 22.82, 21.24, 46.88, 14.23 and 40.40 kg, respectively. The expected pricing is 10.28, 12.92, 11.77, 20.56, 12.96 and 11.91 yuan/kg, with a total profit of 1843.8 yuan. On this basis, with the number of orders and sales pricing of merchantable items as decision variables, an integer programming model was established according to the constraints such as the number of items, minimum display quantity, price range and loss rate, etc. Genetic algorithm was used to solve the integer programming model, and the replenishment volume and pricing strategy of 35 items were obtained on July 1, with an estimated profit of 2398.2 yuan.
Pharmacological Effects and Related Mechanisms of Ganoderma Lucidum Polysaccharides at the Cellular Level
Authors: Zhang Ziheng , Song Peiyao , Zhao Yueqi , Li Yuhang , Shao Kuangzhen , Bao Guangjie , Guo Manli
Published: June 2024

Ganoderma lucidum polysaccharides are the primary active constituents of Ganoderma lucidum. Existing researches indicate that they possess multiple pharmacological effects and benefits, including anti-tumor, antioxidant, anti-aging, hypoglycemic, and immune-modulating properties. Studies on the cellular impact of Ganoderma polysaccharides have predominantly focused on various cell types, including malignant tumor cells, immune cells, cardiac myocytes, neurons, hepatocytes, and fibroblasts. In this paper, we review and summarize recent literature primarily related to these pharmacological effects at the cellular level and their underlying mechanisms. Our aim is to provide insights and references for the deep clinical development and utilization of Ganoderma lucidum polysaccharides.
Design based on portable amphibious track robot
Authors: Zhu Jiaxiang
Published: June 2024

A portable amphibious robot that can operate on and under the waterline is designed for the special curved environment such as the pile leg of the offshore platform and the outer wall of the ship. The mechanical structure of the robot and the permanent magnet adsorption scheme of the magnetic adsorption track are designed. The robot can effectively complete amphibious tasks, and provides an effective way for amphibious tasks such as pile legs of offshore platforms and exterior walls of ships.
Advancing Frontiers: An In-Depth Analysis of Reinforcement Learning Applications in Recommendation System Technologies
Authors: Zhu Zhihe
Published: June 2024

This article commences by elucidating the concept and algorithms underpinning reinforcement learning (RL), laying the foundation for a comprehensive understanding of RL's principles. It then draws a detailed comparison between RL and traditional machine learning paradigms, using illustrative examples to highlight the distinctive methodologies and outcomes of these approaches. This comparison not only clarifies the unique attributes of RL but also contextualizes its position within the broader landscape of machine learning techniques. Subsequently, the focus shifts to recommendation systems (RS), where both the conceptual framework and algorithmic foundations are thoroughly examined. This exploration is not limited to the technical mechanics of RS but extends to an appraisal of their diverse applications, showcasing how these systems have become integral in various domains, from e-commerce to content curation. The core of the discussion then converges on the application of RL within the realm of Chinese RS. This section delves into how RL's dynamic learning capabilities and adaptability enhance the functionality and effectiveness of RS, particularly in the context of the unique market dynamics and user behaviors observed in China. The synergy between RL and RS in this context is dissected, offering insights into how RL-driven RS can lead to more personalized, context-aware, and efficient user experiences.
Study on the Translation of Verbal Humor in Bridget Jones’s Diary from the Perspective of Relevance Theory
Authors: Wang Youqing , Zhang Dan
Published: June 2024

Humor is a common phenomenon in daily life. Essentially, it is a special form of verbal communication. Since humor bears special language and cultural characteristics, the difficulty of translation is self-evident for translators. For many years, the translatability and untranslatability of humor have been the focus of the argument among scholars. Relevance theory attempts to explain the mechanism of humor generation and its translation from the perspective of cognition. Under the framework of relevance theory, this paper takes Bridget Jones's Diary and its Chinese version as the research object to explore the translation strategies of verbal humor, and evaluate whether the Chinese translation can represent the same humorous effect as the original. The results show that the translator adopts direct and indirect translation strategies when translating verbal humor, and the translation strategies have effectively achieved the same humorous effect as the original to some extent if the target language readers share the similar cognitive environment with the source language readers in some situations. Nevertheless, the humorous effects may not be fully conveyed in the target texts, especially when translating culturally loaded words and idiomatic expressions. In such cases, the author puts forward some tentative suggestions for improving the translated texts. The study makes an attempt to provide a feasibility analysis for the studies on translation of verbal humor in diary novels.
Analysis of the Hubble Tension and Modifications to the Standard Cosmological Model
Authors: Qi Ziyao
Published: June 2024

The Hubble constant is crucial to the knowledge of the universe’s nature and expansion, remaining as an active area for research in the recent decades. Cosmological microwave background observations revealed a lower value of 67–69 km-1s-1Mpc for the Hubble constant, but local data showed a higher value of 73–75 km-1s-1Mpc. This study focuses on the Hubble constant and its measurement, systematic uncertainties, observed tension, and potential modifications to the standard cosmological model. To be specific, this paper aims to address the tension between different measurement methods, which are Cepheid variables and supernovae, Baryon Acoustic Oscillations, and Gravitational waves, and understand systematic uncertainties. Results show discrepancies in Hubble constant values, indicating potential modifications to the standard cosmological model. Prospects include exploring alternative cosmological components and enhanced detection and computation methods. The study's implications lie in advancing the understanding of the expanding universe and guiding future research directions regarding to Hubble tension measurement.
Research on the Path of Efficient Agricultural Development Enabled by New Quality Productivity
Authors: Wang Lei , Wang Xueshan , Hu Yaling , Yang Luyuan
Published: June 2024

The 20th National Congress of the Communist Party of China pointed out that the agricultural modernization plan will be realized in 2035. Digital new quality productivity is a combination of digital economy and new quality productivity. This project aims to explore how digital economy can be an important part of new quality productivity to help agricultural development. Some towns in Anhui Province will be taken as an example, with the improvement of rural digital economic infrastructure, the proportion of new talents, the development degree of digital agricultural trade, combined with the agricultural bureau and related data for empirical analysis. The verification of digital new quality productivity can improve the production efficiency of rural agriculture, reduce production costs and improve the quality of agricultural products, effectively safeguard the fundamental interests of the people, and promote the modernization of agriculture and the country.
Synthesis and application of metal-organic frameworks
Authors: Zhou Chengkang
Published: June 2024

Metal-organic frameworks (MOFs) are an intriguing class of materials that undergoes self-assembly, originating from polydentate organic ligands. These ligands are primarily composed of aromatic polynucleic acids and polybases, along with transition metal ions. The advancements in MOFs have diversified, employing ligands based on carboxylates or nitrogen-containing heterocyclic organic neutral ligands, resulting in materials characterized by their increased porosity and remarkable chemical stability. The research provides a comprehensive review of conventional and alternative synthesis methods, highlighting recent techniques such as microwave-assisted, electrochemical, mechanochemical, and sonochemical synthesis. The synthesis methods are discussed in detail, to provide a comprehensive understanding of the various techniques available. The versatile properties of MOFs find applications in various fields such as gas adsorption, chemical sensing, catalysis, and drug delivery. The analysis not only deepens the understanding of MOFs' present state but also inspires future innovations in their synthesis and applications. The research also highlights the potential of MOFs in drug delivery, where they can be used as carriers for the delivery of drugs or other therapeutic agents. The comprehensiveness of this research provides a valuable resource for understanding the current state of MOFs research and identifies future directions for innovation in their synthesis and applications.
Research on Leisure Issues in the Third Space of Young People
Authors: Zhu Junming
Published: June 2024

This article aims to explore how to create a "third space" for young people to rest their souls. By comparing emerging venues (represented by shared tea rooms) and traditional venues (represented by cafes), this article conducts in-depth research and analysis, hoping to provide a better social environment for young people, the paper found that no matter whether users know or have used third space such as shared tearooms, their third space consumption preferences are similar to a certain extent, and the difference is not significant, therefore believe that the preferences will not be different depending on whether the survey unit is in the third space market or not, and so our preference research object is the mass population. At the same time, we realize that there maybe a correlation between the preference indicators of the same increase and decrease through the above figure, so we carryout correlation analysis. Correlation analysis refers to the analysis of variable elements that have correlation in order to measure the degree of correlation between variable factors. With the help of SPSS, we calculated the values of each dimension using the mean method, and then chose the Pearson correlation coefficient to perform bivariate correlation analysis.
Empirical Analysis of Factors Influencing China's Imports and Exports
Authors: Huang Zike
Published: June 2024

Given the dynamic nature of the international trade landscape and China’s pivotal role in global trade, there is a compelling need to comprehensively investigate the myriad macro-factors influencing China's imports and exports. This study adopts econometric methods, based on a multiple linear model with fitness test and heteroskedasticity test for a comprehensive examination of diverse macro-factors affecting China's trade. Anticipated outcomes include a nuanced quantitative analysis of macro-factors impacting China's imports and exports, aiding understanding China's position in the global supply chain, offering decision-making insights for relevant industries, governments, and investors. The findings are expected to offer comprehensive and in-depth information for academia and practitioners alike, assisting financial decision-makers, business leaders, and investors in navigating global trade uncertainties and economic fluctuations. By delving into the quantitative impact of diverse macro-factors on China's imports and exports, this study aims to fill existing research gaps, providing substantial insights into the Chinese economy and international trade.
Eyetracker Based on Image Recognition Technology and YOLOv8 Implementation
Authors: Li Zonghan
Published: June 2024

Since most of today's eye trackers are based on infrared reflections which means the eye tracker needs a camera, it also needs an extra infrared light gadget. This paper refers to the shortcomings of modern infrared eye-tracking devices. And then design an experiment to collect eye-tracking datasets using only a camera and implement an eye-tracking system deployed on a head-mounted human-computer interaction device by using image recognition techniques and key-point detection techniques. This method makes the eye tracker more complicated. This paper designs an experiment by getting the eyeball data from different people in different environment backgrounds to create a new eye-tracking dataset for head-mounted interactive devices and transform that dataset into a '.txt' format file usable by YOLO. Then use this dataset to finish the transfer learning which is based on the YOLOv8, which trained a theoretically realisable model of an eye-tracker. Thereby, the efficiency of the usage of the eye-tracker is optimized in principle, allowing people to use the eye-tracker without relying on an infrared device, but only a camera.
A Study on the Enhancement of AliExpress’s Competitive Strength in the New Situation -Based on Porter’s Five Forces Model
Authors: Peng Hao , Xu Mengyuan
Published: June 2024

With the development of the Internet and the significant impact of the new era on traditional industries, the transformation of traditional export trade to cross-border e-commerce has become an inevitable choice for enterprises and has released great potential. As a leading third-party platform for export e-commerce in China, AliExpress has research value. Therefore, this paper focuses on AliExpress, a cross-border e-commerce platform under Alibaba, and utilizes Porter's Five Forces model to analyze the competitiveness and existing issues of AliExpress, global market share is uneven, platform differences are ignored, and focus on brand value and competitiveness needs to be improved. Put forward corresponding suggestions: develop targeted market expansion strategies, learn the advantages of other platforms, optimize the supply chain to form core competitiveness, and improve product quality and service. In all, the platform should determine the role positioning of the ecosystem, construct the brand mind, and actively respond to national policy support to ensure the sustained and healthy growth of China's cross-border e-commerce platform.
Study on the Color Design of Elderly Space based on Design Color Science
Authors: Xu Huili
Published: June 2024

The article applies the principle of art color science, through the analysis of the physiological and psychological characteristics of the elderly group and the various feelings of the color environment of the housing interior space, and carries out a series of research on the color matching method of the housing interior space of the elderly. Artistic color theory is a theory about color, and as a research method, it takes "color" as the focus, not just as an ordinary or auxiliary element, but as the "center" to be considered. The researcher can identify the "central" element of color through the artwork, explore the history of color development, color techniques and expressions, color symbols, and cultural symbolism, as well as the symbolic meaning and significance of ethnicity, nation, or country implied by color in the artwork, Art colorism, as a theory and method of interpreting the artwork.
Optimizing Stock Markets Trading with Poisson Process Simulation
Authors: Pan Zixuan , Chen Yinda , Bili Getu
Published: June 2024

Industrial and Operations Research (IEOR) is an interdisciplinary field that leverages mathematical, statistical, and computational techniques to design, analyze, and optimize complex systems. In the context of the Simulation for Enterprise-Scale Systems course, the knowledge gained from IEOR can be applied to address a range of issues related to financial modeling, risk analysis, and decision- making within financial corporations.  One area where simulation is particularly prevalent is in the financial markets, where price fluctuations can create significant arbitrage opportunities.  The focus of this inquiry is on utilizing simulation systems to facilitate stock market trading, considering factors such as market noise, information asymmetry due to information lag, and other elements in order to optimize portfolio performance through arbitrage operations in the current market state.
Research on financial risk screening of listed companies based on clustering algorithm
Authors: Liu Zihan , Shi Zijun
Published: June 2024

The ability to recognize financial fraud activity in listed firms has grown in importance and is a constant source of worry in both academics and business. The A-share listed businesses in the biological and pharmaceutical industries that have faced penalties from the China Securities Regulatory Commission during the previous five years are used as samples in this study. Using Kangmei Pharmaceutical as an example, 24 characteristics are chosen using the fraud triangle theory, and testing and analysis are conducted using a Random Forest classification algorithm model in conjunction with SMOTE Oversampling technology. The findings show that it is more beneficial to use numerous feature sets to develop models or to construct models with many alternative algorithms for financial fraud screening studies, as opposed to merely classifying organizations into fraudulent and non-fraudulent categories.
Global Cultural Integration Strategies of Korean Entertainment Companies Regarding the Idol Culture Industry: The Case of SM Entertainment
Authors: Sha Jingru
Published: June 2024

The study focuses on the global cultural integration of Korean entertainment companies regarding the idol culture industry, using SM Entertainment as a case study for in-depth analysis. Idol culture, as a part of Korean pop culture, has achieved great success globally over the past decades. With the rise of digital media, the trend of internationalization in the entertainment industry has become more pronounced. The acceptance of different cultures by audiences in different countries has also become one of the focal points of research. This study will focus on SM Entertainment's successful practices in overseas markets such as Asia, with a special focus on how it has integrated the Korean Wave culture to satisfy the aesthetic and cultural needs of audiences in different countries and regions in order to increase its acceptability in the international market. The company's strategies in terms of artist image, music style, and promotional techniques are examined in depth. Ultimately, this study provides insights into SM Entertainment's success in achieving cultural integration and adapting to multicultural demands, which is important for understanding global cultural communication, the internationalization of the entertainment industry, and the dissemination of local culture in the international market.
Review on the study of enterprise "greenwashing" and corporate social responsibility
Authors: Gao Yijia , Chen Sitong
Published: June 2024

In recent years, the public and government departments have been paying more and more attention to environmental protection, and there have been more academic studies on corporate greenwashing and corporate social responsibility (CSR) in the supply chain. We summarize the concepts, motives, consequences and governance methods of corporate greenwashing and the input research model of CSR in the supply chain, and point out the development trend of the two and the direction we can focus on in the future, which is of certain reference value in both theory and practice.
Study on Damage Inference for Superstatic Trusses
Authors: Huang Ruishuo , Nie Qianbo
Published: June 2024

Based on the damaged statically indeterminate truss, this study uses the Bayesian and Opensees methods to study and deduce the damage of damaged members. Multiple schemes are used for inference in order to compare multiple loading schemes to obtain the best loading scheme. By changing the error comparison, it can be found that the smaller the error, the more concentrated the posterior distribution, and the closer to the result. By changing the comparison of measuring points, it can be found that the closer the measuring points are to the damaged bar, the more concentrated the posterior distribution is, and the better the effect is. In combination with the prior distribution, increasing the number of cycles has little effect on the results. Through these comparisons, this study mainly finds out the key factors to infer structural damage in practical engineering, so that the damage inference of statically indeterminate truss can better serve the practical engineering.
SpaceX's Network Effects and Innovation Strategy Analysis
Authors: Cai Jiajing , Liu Zhenxuan , Su Zihang , Wang Gang
Published: June 2024

The core competitiveness of an enterprise refers to the unique capabilities and resources of an enterprise that stand out in the market and surpass its competitors. This competitiveness is a key factor for the long-term survival and development of enterprises. Business leaders need to carefully analyze and develop the company's core competencies to ensure that the company has a lasting competitive advantage in the market. This paper deeply discusses the core competitiveness of Space X, including product innovation, competitors and differentiated competition, business space, innovation strategy, network effect, and positive feedback loop. The SWOT analysis of SpaceX reveals its strengths in brand reach and technological innovation but also highlights some challenges, such as the lack of products for everyday users. The company's innovative strategies, including reusable rocket launches and Starlink satellite networks, make it a leader in the private space industry. SpaceX The vision for the future transcends commercial space activities to explore and colonize multiple planets, demonstrating its commitment to a sustainable space civilization.
Design and Implementation of Digital Platform Based on Standard Knowledge Map in Oil and Gas Exploration and Development Field
Authors: Huang Shan , Su Xuesong , Yue Wangkai , Xin Yangxin , Fei Wangyi
Published: June 2024

This paper introduces the current situation and problems of standardization development in the field of oil and gas exploration and development in China. To solve the problems of large amount of standard knowledge, large professional span and complex level, the concept connotation of ontology and knowledge graph is clarified. A triplet core data model of “standardized object (product) -style (paragraph structure) -index (attribute)” is proposed for oil and gas exploration and development. Based on this, the construction idea, main function, and future direction of digital platform of standard knowledge map in oil and gas exploration and development are studied.
The Impact of Informationization Construction on Stock Price Synchronicity: Empirical Evidence from the "Pilot Zones of Integration of Information and Industrialization"1, a
Authors: Cao Ruinan
Published: June 2024

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

With the innovation of multimedia technology, a vast array of Chinese films has been rapidly translated and disseminated internationally, significantly enhancing the soft power of Chinese culture. As a quintessential multimodal text, the subtitling of films necessitates an analysis and interpretation of the multimodal discourse within them. The theory of multimodal discourse analysis, which takes multimodal discourse as its subject, provides a scientific analytical framework and practical guidance for the multimodal translation of film subtitles. Therefore, this paper employs the framework of multimodal discourse analysis theory, drawing on Zhang Delu's proposed dimensions of cultural, contextual, content, and expression levels, to conduct an in-depth analysis of the subtitle translation of the film The Legend of Sealed Book. The aim is to offer insights into the practice of film subtitle translation and to further the international dissemination of Chinese culture.
Voice-Activated Emergency Response: Integrating Arduino Nicla Voice with MIT App Inventor for Elderly Care in Smart Homes
Authors: Chin Wei-Tzu
Published: June 2024

Nowadays, the average lifespan of people is increasing steadily. A multitude of elderly people have the tendency to reside in their own preferred dwellings. However, as a result of this, it might be too late to discover some elders' sudden abnormal situations. Therefore, it is a great concern for them to instantly and effectively deliver their distress signals to the outside world under consciousness, due to the fact that unanticipated accidents may happen all at once. This proposed system integrates the embedded system “Arduino Nicla Voice” in detection with MIT App Inventor in display on the user's interface and deploys Bluetooth Low Energy(BLE) as the communication channel. First, 8 different values of window overlap were tested and the best outcome was used in the upcoming validation method. The overall system performance in terms of accuracy, precision, recall, loss, and F1-score were examined with a 10-fold stratified cross validation. A Receiving Operating Characteristic(ROC) graph and Area Under the ROC Curve(AUC)  based on predicted probability were exhibited to see the performance of each fold and the micro-average as well. Then, limitations were discussed so as to improve the robustness of this PERS system for future studies.
Design of L+Band Bismuth-doped Fiber Laser
Authors: Tan Mingqi
Published: June 2024

At present, the development of new communication bands to meet the needs of large communication transmission capacity in the current era is one of the key research topics. The conventional erbium-doped laser is limited by its structure which has the problem of short luminous bandwidth and can not cover a large communication band. Therefore, there is growing interest in designing bismuth-doped glass and fiber with ultra-wide gain bandwidth for fiber laser applications. By utilizing its ultra-wide gain bandwidth characteristics, important communication devices such as broadband fiber amplifiers and broadband tunable fiber lasers can be designed to operate in the L+band, thereby solving the problem that the ultra-wide bandwidth of the optical communication window cannot be achieved in the future high-speed communication systems. In this study, the 1550nm pump source is used to excite the bismuth-doped fiber, and the MATLAB numerical simulation modeling is used to design a bismuth-doped fiber laser with a central wavelength of 1650nm and a threshold power of 10W. To a certain extent, this design addresses the research gap in L+ band bismuth-doped fiber lasers.
Comprehensive Analysis of the Socio-Economic Situation of Zhejiang Province
Authors: Ren Yida
Published: June 2024

Socialism with Chinese characteristics has entered a new era, and achieving high-quality economic development is an important task for building a modern socialist country in an all-round way. The report of the 20th National Congress of the Communist Party of China pointed out that consumption and disposable income play a key role in economic development. This paper uses two statistical analysis methods, descriptive statistics and linear regression analysis, and analyzes the socio-economic and economic situation of Zhejiang Province in China according to the economic and social development index of residents' disposable income, and analyzes the problems of economic and social development faced by Zhejiang Province and discusses solutions, so as to promote the comprehensive, sustainable and healthy social and economic development of Zhejiang Province.
The Potential of New Retail Models: Financial Analysis of JD and Suning Supply Chain Management Capabilities
Authors: Yang Fan , Zhong Detian
Published: June 2024

With the popularity of e-commerce and online consumption, offline sales stores have encountered a bottleneck period, and the competition in China’s retail market is becoming increasingly fierce. Many retail industries are moving towards the new “online + offline” retail model. This trend represents the retail industry catching up with the digital age, merging the traditional brick-and-mortar economy with online sales channels to meet better changing consumer needs. This study combines several research results, and this paper analyzes the level of the enterprise supply chain from the five indicators of revenue growth rate, inventory turnover rate, return on assets, sales expense ratio and management cost ratio. This paper will take Jingdong and Suning as examples to analyze the characteristics of the new retail model based on the overview of the new retail model, deeply study and discuss the impact of the new retail model on the development of enterprises, and analyze the opportunities and challenges they face. Finally, targeted suggestions are put forward to promote the development of the new retail model for enterprises.
Study on adsorption and purification materials for ethylene in cold storage
Authors: Yang Jiandong , Shan Xintang , Huang Xueping , Yang Hao
Published: June 2024

In view of the lack of systematic quantitative and comparative studies on the purification effect of ethylene adsorbent in cold storage, starting from the selection of purification materials, this paper analyzed the purification effect of different zeolite materials on ethylene through a small test chamber, and screened out the best zeolite adsorbents used in self-made purification device. Combined with characterization analysis, purification efficiency evaluation and adsorption capacity of zeolite material, the removal performance of ethylene was investigated. The results showed that the zeolite samples with rough and porous surface showed better adsorption performance for ethylene. The larger the specific surface area and total pore volume, the stronger the adsorption capacity to ethylene. In addition, the presence of Na elements and mesoporous increased the exchange capacity and pore volume, which also played a certain role in the ethylene adsorption process. Experimental result demonstrates that clean air volume (CADR) of ethylene is 232 m3/h, the ethylene removal rate at 30 min is 98.19%, and the purification energy efficiency is 1.39. At the same time, the adsorption capacity of the selected zeolite sample is 1380.5 μg/g by dynamic adsorption experiment, and the service life of the filter element of the self-made purification device is estimated to be 166 days. This study can provide a theoretical basis for ethylene purification in cold storage.
Study of Influential Factors on Housing Prices by Using MLR
Authors: Liu Chang
Published: June 2024

With the emergence of the 2019 pandemic, the global economy experienced a downturn, but the housing market quickly rebounded post-pandemic, heightening the anxiety surrounding home buying. Previous research predominantly employed regression models to forecast housing prices, but these studies largely focused on specific factors. Hence, this article aims to offer a more comprehensive viewpoint by exploring the impact of multiple independent variables on housing prices, particularly emphasizing the effects of the age of buildings, the surrounding environment, and architectural factors. The methodology used in this study is the Multiple Linear Regression (MLR) model. It analyzes the real estate market data in Taipei, meticulously constructing and validating multiple models. The findings reveal that the age of buildings and the distance to the nearest subway station negatively influence housing prices, whereas the number of convenience stores positively impacts them. Among these factors, the quantity of convenience stores exerts the most significant effect on housing prices. Overall, this article provides a novel perspective and tools for understanding and predicting housing prices, assisting real estate developers and buyers in making more informed decisions in the complex real estate market. This study highlights the multidimensional nature of real estate value and contributes to the sustainable development of the real estate market.
A New Dawn of the Samurai –The Insight of Kimeitsu no Yaiba’s Success and Comparing it with the Chinese Anime Industry
Authors: Tan Haoxiang
Published: June 2024

The Japanese Anime industry has grown wildly during the last few decades and has become one of the dominant forces in the media market in the 21st century. Among all the anime of Japan, one specific anime gained massive success in 2020, as the COVID-19 pandemic started. The “Demon Slayer” (Kimeitsu no Yaiba) has defeated the well-known Spirited Away by Miyazaki Hayao and won the best-selling manga and movie of all time in Japanese anime-making history in a depression session of the industry. Its influence also went viral worldwide, especially in the younger generation, ages 10 to 20. The story of this anime is a traditional fairy tale of the brave saving the world, but the context of it is more Japanese-styled than others when the main characters are all samurai, and the villain is the “oni” (Japanese term for the monster). This study discovered several factors that contributed to Demon Slayer’s success from two perspectives: one is the usage of vital culturally represented elements, and another one is the shift made by the industry. This paper then discussed the anime industry in China. It used the “Nezha” anime to compare the existing inadequacies in the market and the possible ways to develop Chinese anime in an international market.
The Impact of COVID-19 on the US Consumer Price Index (CPI)
Authors: Shang Hanyang
Published: June 2024

This research investigates the profound impact of irregular commodity price changes during unusual circumstances, particularly focusing on the COVID-19 pandemic. The research stems from the recognition that global events have the potential to trigger irregular and drastic changes in commodity prices. This research holds significant implications for both consumers and policymakers in navigating the complexities of global crises. The research employs the Consumer Price Index (CPI) as a crucial indicator to chart drastic changes in consumer product prices from January 2019 to September 2023. To establish a baseline, CPI data from January 2010 to December 2018 is utilized, and an Autoregressive Integrated Moving Average (ARIMA) model is employed to forecast hypothetical CPI for the target period. The comparison between forecasted and observed CPI data reveals the vast influence of the COVID-19 pandemic on consumer prices. This research explores various subcategories of CPI, emphasizing sectors such as Food and Beverage, Transportation, Housing, and Medical Care. The research found that COVID-19 leads to delays and lagging effects in certain sectors reflecting the overall increase in consumer product prices. The Medical Care CPI also exhibited the most complexity, reflecting the immediate and direct impact of the pandemic on healthcare costs.