bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Spoken English Instruction in the Post-Pandemic Landscape: Assessing Social Media's Role, Challenges, and Prospects in China
Authors: Yi Liu
Published: June 2024

In the post-pandemic era, education in China has undergone a momentous transformation, with a notable shift towards utilizing social media platforms as educational tools. Educators in the field of teaching English as a foreign language (EFL) have been seeking ways to take full advantage of them to enhance students’ learning and apply new information in China. As English speaking skills become increasingly vital in academic and professional settings, educators are exploring innovative approaches to language learning and experimenting with integrating social media into spoken English teaching. This paper aims to examine the current status, challenges, and opportunities associated with this pedagogical shift, by synthesizing existing research findings, and to present an overview of spoken English teaching through social media in China in the post-epidemic era. The current landscape showcases a rapid increase in the use of platforms such as WeChat, Zhihu, Bilibili, Weibo and Douyin live streams for facilitating speaking practice. However, challenges persist, including ensuring the quality of instruction, bridging the digital divide, and navigating cultural nuances in communication. Nonetheless, where there are challenges, there are opportunities. This transition presents numerous opportunities, such as innovative teaching methodologies, access to authentic language input, global connectivity, and personalized learning experiences. Effective integration of pedagogy and technology is crucial in harnessing the potential of social media for enhancing English speaking skills in the post-pandemic era.
VSG Sequence Impedance Modeling and Stability Analysis of Dead-Beat Control
Authors: Sun Shida , Wu Mingtao , Chen Zhengbin
Published: June 2024

Virtual Synchronous Generator uses dead-beat predictive control in the voltage and current loop to improve the dynamic response speed of the system, but the presence of zero-order hold and computation time can lead to system instability. To address this issue, this paper adopts an improved dead-beat predictive control strategy for VSG. This is achieved by linear interpolation to forward predict voltage-current reference values to reduce the impact of delay, while introducing error compensation coefficients to enhance the stability of the voltage-current inner loop of VSG. The selection of error compensation coefficients is based on closed-loop impulse response functions. A harmonic linearization method is used to construct a complete sequence impedance model of VSG, and it's stability is analyzed. The results indicate that VSG's negative sequence impedance exhibits instability in the low-frequency range. To address this, a method of introducing a virtual resistor into VSG is proposed to improve stability. By constructing a sequence impedance model of VSG that includes virtual resistance, the variations in system stability under different virtual resistances and grid impedances are analyzed. The effectiveness of the proposed method is verified by building a VSG model.
The Story of Inequality: Xenophobia and Racial Discrimination Against Asian Americans During the COVID-19 Pandemic
Authors: Chai Haochen
Published: June 2024

The COVID-19 pandemic is a catastrophic global human rights crisis, and it has aggravated the racism experienced by racial minorities around the world. This article explores the serious discrimination against Asian Americans within the US society during the pandemic from the political and historical perspectives. It finds that the inappropriate practices of conservative politicians, led by Donald Trump, to link the virus to Asian groups have triggered the deep-rooted anti-Asian discrimination among the American public in the US history, which has adversely affected the well-being of Asian Americans during the COVID-19.
Research on Optimization Design of Heliostat Field Based on Ray Tracing
Authors: Teng Zhaolong , Zhou Huizhi , Wang Xinxiang , Liu Liangyi , Jiang Bin
Published: June 2024

In tower-type solar thermal power generation systems, the optical efficiency of the mirror field is the primary factor determining the overall system's power generation efficiency. In order to meet the requirement of a rated power of 60MW with different heliostat sizes and installation heights, optimize the various parameters of the heliostat field, establish a tower-type solar thermal power generation system model, and evaluate the model. Taking the maximum annual average output power per unit mirror area as the optimization objective, through simulation, it is found that the heliostat with a side length of 6 meters, a gradient design of installation height, a regular triangular layout, and the use of ray tracing technology can efficiently capture solar energy. The average optical efficiency, average cosine efficiency, average shadow blocking efficiency, average truncation efficiency, and average thermal power factor per unit area mirror are analyzed. The research results show that there is an optimal combination of absorber northward movement, heliostat size, equilateral triangle arrangement, installation height gradient design, and solar trajectory, which enables the annual average output thermal power to reach or even exceed the rated power of 60MW.This model and algorithm compared and analyzed genetic, greedy, and simulated annealing algorithms on the same dataset. The runtime is approximately 8-10 minutes, with CPU utilization around 60%.
Comparative Analysis of the Physical Fitness Test Results of Undergraduate Students in Government University in Guangdong Province
Authors: Hou Dianyun
Published: June 2024

The vitality of a nation is reflected in the physical fitness of its youth, a component integral to global health research. This study sought to reveal the current state of physical fitness among undergraduates at government university in Guangdong province, with the principal aim of providing an empirical basis for interventions and policy recommendations. Adopting a descriptive comparative approach, the research scrutinized physical fitness test records from 2020 through 2023. Quantitative analysis, employing mean, standard deviation, ANOVA, and post hoc tests, discerned significant disparities in physical fitness and BMI when stratified by academic year level. The findings indicated significant variations in physical fitness across different student groups, necessitating tailored approaches to health promotion.
Research on Digital Empowerment of Public Sports Service System Construction
Authors: Zhao Rui
Published: June 2024

Building a higher-level public service system for national fitness is an important cornerstone for accelerating the construction of a sports powerhouse, and it is an inherent requirement that meets the people's expectations for a high-quality life. Digital empowerment will become an effective engine and sustained driving force for achieving high-quality supply of public services for national fitness. Through research, an analysis was conducted on the current situation and challenges of a higher-level public service system for national fitness. The study suggests that a wider range of participants are required by a higher-level public service system for national fitness, which requires a renewed understanding of human needs. A stronger element support requires overall system governance, and a more balanced resource layout requires full utilization of data platforms. This study proposes suggestions: to strengthen the construction of digital infrastructure for public sports services; Accelerate the construction of digital talent teams for public sports services; Establish a mechanism for sharing information and data on public sports services, and strengthen the construction of digital technology governance mechanisms for public sports services. Research aimed at promoting the construction of a digital empowerment public sports service system.
The Expansion of Central Bank Collateral and Green Innovation of Enterprises
Authors: Wei Yuhan , Li Dandan , Wang Jiali , Chu Yan
Published: June 2024

This article takes the policy event of green bonds being included in the MLF (Medium Term Lending Facility) qualified collateral framework in June 2018 as a quasi natural experiment, and analyzes the impact of the expansion of the collateral framework of the new monetary policy on the credit spread of green bonds and the green innovation output of enterprises issuing green bonds based on a two period and multi period double difference model. The research results indicate that, firstly, the expansion of collateral by the central bank will significantly reduce the credit spread of green bonds and lower the financing costs of enterprises. Secondly, the expansion of collateral by the central bank will promote the improvement of green technology innovation capabilities of green enterprises, and alleviate their financing problems by issuing green bonds and green bonds themselves.
Using Logistic Regression and Support Vector Classification to Predict Cancer
Authors: Zhang Bowen
Published: June 2024

This study investigates the application of machine learning (ML) algorithms in the early diagnosis of breast cancer, focusing on logistic regression and Support Vector Classification (SVC). Utilizing a dataset from Kaggle, which includes diverse clinical features from breast mass samples, the research conducts a comparative analysis of these models in terms of accuracy and interpretability. Our findings reveal that both logistic regression and SVC demonstrate high precision in distinguishing between benign and malignant tumors, with SVC showing a marginally superior performance due to its higher sensitivity and lower rate of false negatives. The study emphasizes the potential of ML in enhancing cancer diagnostic processes, highlighting the importance of non-invasive, cost-effective, and accurate diagnostic alternatives. It also addresses the challenges of model interpretability and the need for more transparent ML applications in clinical settings. This research paves the way for future advancements in medical diagnostics, offering promising directions for integrating ML algorithms into clinical decision-making and patient care.
The Influence of License Plate Allocation Mechanism on Urban Traffic Management: A Comparative Study of Beijing and Shanghai
Authors: Xu Yiyang
Published: June 2024

Urban traffic management has grown in importance since China’s cities have seen a sharp rise in the number of motor vehicles in recent years. In this context, different cities have launched different license plate allocation mechanisms, among which the license plate auction mechanism in Shanghai and the license plate lottery system in Beijing have a greater impact on urban traffic management. Their roles are undeniable while their drawbacks need to be solved. The license plate allocation system can only alleviate urban road congestion, and it is difficult to fundamentally solve the problem, which also requires the government to continue to study, in order to find a long-term solution to promote the innovative innovation of urban traffic management. This paper focuses on the influence of the Beijing license plate lottery system and Shanghai license plate auction system on urban traffic management, points out the drawbacks of different license plate allocation mechanisms and puts forward suggestions, which can clarify the role of different license plate allocation mechanisms in urban traffic management. In order to improve the license plate allocation mechanism and optimize the development path of the license plate allocation mechanism, it is essential to improve the function mechanism of the license plate allocation mechanism in urban traffic management.
Exploring Online E-commerce Platforms for Individual Industrial and Commercial Households
Authors: Shi Yanxuan
Published: June 2024

With the rapid development of information technology and the popularization of the Internet, online e-commerce platforms have become an important part of modern commercial activities. As a leader in this field, Alibaba has not only led the rapid development of China's e-commerce industry with its unique business model and innovative business philosophy, but also has set a benchmark worldwide. This paper aims to take Alibaba as an example to deeply explore the constraints of online e-commerce platforms on individual merchants, and analyze the impact of these constraints on individual merchants' business strategies and development paths. By conducting case studies on individual merchants on the Alibaba platform, we can understand more specifically the specific manifestations and impacts of these constraints, thereby providing targeted suggestions for individual merchants to help them better cope with challenges and achieve sustainable development. . At the same time, the research results of this paper will also help online e-commerce platform operators understand the needs and dilemmas of merchants, further optimize platform rules and services, and achieve a win-win situation between the platform and merchants.
Integrating Ray Tracing with Single-Objective Optimization in Heliostat Field Design
Authors: Ai Shiwei , Wang Jiapeng , Luo Lingyao
Published: June 2024

Tower solar thermal power generation is a new type of low-carbon and environmentally friendly clean energy technology. Through continuous optimization of the optical efficiency of mirror field and other key technologies, the energy utilization efficiency and economic benefits of solar thermal power stations can be improved, and contribute to the sustainable development of clean energy. This paper establishes a geometric model based on the light tracing method to solve the daily average, average annual optical efficiency, thermal output power, and average optical efficiency of the heliostatic field. The cosine efficiency is the cosine of the incident light and the normal angle, which is the cosine of the incidence angle; the atmospheric transmission is only related to the distance between the mirror center and the collector center; the mirror reflection constant is 0.92. The shadow occlusion efficiency and the truncation efficiency of the collector are the difficulties in the process of calculating the optical efficiency: for the calculation of the shadow occlusion efficiency, the Monte Carlo light tracing method is adopted. Based on the energy density of the helioscope, the occlusion efficiency of the shadow can be expressed as the ratio between the amount of the outgoing light to the total generated amount; for the calculation of the collector truncation efficiency, it links the reflected light with the surface equation of the collector. According to the joint results, if there is a solution, it means that the reflected light can be reflected in the collector, and the collector truncation efficiency can represent the ratio of the number of lights reflected in the collector to the number of unblocked lights in all the reflected lines. Finally, the average annual optical efficiency and output power parameters are respectively: 0.6093, 0.7431, 0.9283, 0.9828, 35. 4430MW, 0.5642kW/m². Results for the remaining months are shown in the main text.
A Survey of Developments in Federated Meta-Learning
Authors: Zhang Yong , Zhang Mingchuan
Published: June 2024

Federated meta-learning is a widely used few-shot learning method and has a very good development prospect. Federated meta-learning combines the characteristics of federated learning and meta-learning. It can not only use the data of each client while protecting its privacy to a certain extent, but also solve the problem of data volume that requires a large amount of data for model training in machine learning. With the rise of big data technology and edge computing, federated meta-learning technology has become a research hotspot in machine learning. In this paper, we provide an overview of the development of federated meta-learning and point out the relationship between federated learning, meta-learning and federated learning. Finally, some existing problems in federated meta-learning are pointed out, which provides ideas for the subsequent research on federated meta-learning.
Replenishment Pricing of Vegetable Commodities in a Supermarket as an Example in China
Authors: Lin Jingzhe , Xu Chang , Li Ke
Published: June 2024

In this paper, for the automatic pricing and replenishment decision-making problem of vegetable commodities, it is found that there are certain seasonal characteristics in the sales of vegetables in each category, and wavelet analysis is carried out on the daily sales data of single products to get the sales cycle of each category. For the vegetable single product with large amount of data, all single products are divided into four categories of common household vegetables, packaged vegetables, seasonal special vegetables and special vegetables by systematic cluster analysis, and the time distribution characteristics of single products are described by the sales time series of typical members in each cluster. Based on the market demand theory, the cost-plus pricing and sales volume data of the categories were fitted, and the relationship was obtained to be negatively correlated. Taking the purchase quantity and pricing of each category as the decision variables, maximizing revenue as the objective function, and taking the historical maximum purchase quantity of each category and the historical maximum purchase quantity of the superstore as the constraints, a nonlinear programming model was established to formulate the pricing and replenishment strategies for vegetable products. By solving the model, the optimal strategy of replenishment volume and pricing for the future seven-day category is derived, corresponding to the maximum profit of ￥3124.75.
Comparison of Machine Learning Methods in Customer Segment
Authors: Cao Lin
Published: June 2024

Customer segmentation plays a key strategy in marketing and business analytics. It assigns customers to different groups based on their common characteristics, which allows the company or organization to regulate their marketing efforts and product offers to meet specific needs of each group. With the development of machine learning, lots of methods are discovered and being used widely. The main purpose of this paper is to introduce the four popular machine learning methods and compare their functions. This paper first introduces the datasets in the field of customer segmentation, then it introduces customer segmentation methods based on machine learning, including Support Vector Machines (SVM), Decision Trees (DT), Random Forest (RF), and K-Nearest Neighbors (KNN). Based on the results, Random Forest offers the best precision which runs up to 89.61%. By introducing and comparing the performance of four different methods in a specific data environment, it will enlighten researchers in the field of customer segmentation.
An Exploration of College English Translation Teaching in the Context of Ideological and Political Education
Authors: Dong Xu , Dong Guoqi
Published: June 2024

Translation teaching under the ideological and political background of the curriculum is to cultivate students' family and country feelings, cultural self-confidence, and an important path to spread China's excellent cultural elements, ideological value system, and enhance international discourse power. On the basis of imparting translation knowledge and cultivating translation ability, college English translation teaching should actively cultivate Chinese-English bilingual translators with high intercultural communicative competence and good language and cultural literacy. From this point of view, it is necessary to realize the effective integration of ideological and political curriculum into college English translation teaching. Therefore, educators in colleges and universities must attach importance to the reform of English translation teaching, and actively explore reform strategies to improve students' comprehensive quality and level as a whole. Based on this background, this paper discusses the existing problems of English translation teaching in colleges and universities, and studies the advantages and strategies of English translation teaching reform from the perspective of curriculum ideology and politics.
Study of the Language Features of I Wandered Lonely as a Cloud
Authors: Zhang Xuminghui , Jian Chengyao
Published: June 2024

In this paper, the author makes a comprehensive analysis of the language features of I Wandered Lonely as a Cloud, a masterwork written by William Wordsworth from the perspective of nature images, rhythm and meter as well as rhetorical devices. In terms of nature imagery, the images of ‘flowers’ and ‘clouds’ are employed to highlight the poet’s feelings of loneliness and solitude. In terms of rhythm and meter, the poem follows the rhythm of iambic tetrameter and the rhyme scheme: ababcc, efefgg, hihikk, lmlmnn. In terms of rhetorical devices, the poem mainly employs smile, personification, enjambment and symbolism. Through the exploration of the natural imagery, metrical properties and rhetorical devices, the study has elucidated the artistic allure of the poem and its significant place within the canon of English Romantic literature.
Comparison Between Business Model of Ecommerce Retail Segment of Amazon and Alibaba
Authors: Zheng Tianyu
Published: June 2024

In this digital era, ecommerce has been an essential element of the economy of most developed countries and a lot of developing countries. The US and China were pioneers in this industry and exhibited a significant amount of growth since the 1990s with Amazon and Alibaba being the current dominant firms. This paper compares the business model and past performances of Amazon and Alibaba primarily through examining their annual reports in 2022, supported by data from reports in 2020. This paper concluded that the two companies were similar in stem but adopted different strategies because of difference in business environment including demographics, legal restrictions and level of competition. The author believes that the ecommerce industry will gradually evolve into a monopolistic competition. Amazon and Alibaba shall keep up with the latest technologies to maintain their market shares from taking away by competitors, including advancements in big data computing and generative AI, as well as alternate business models as demand for online services became more diversified with the increasing reliance of ecommerce after covid.
An Analysis of the Combination of Anti-Anthropocentrism and VR Game Design
Authors: Yang Ting
Published: June 2024

During the epidemic, the documentary film The Year the Earth Changed brought the topic of "anthropocentrism" back to the forefront of viewers' minds. It was discovered that many of the planet's negative changes were due to human appropriation of resources, and that in order to address this issue, humans needed to redefine their place and responsibility in ecosystem usage. this paper aims to illustrate a game that allows players to realise the importance of equality in an immersive gaming experience through the use of VR. The author used Unity to create the game, and Nomad and Houdini to assist in the 3D modelling work, with the intention of creating a new world that is more beautiful and fantastic without human intervention. The game creatively allows players to enjoy this mysterious new world while being entertained and to develop a deeper concept than the common notion of "environmentalism". This game creatively allows players to enjoy this mysterious new world while being entertained and generate a deeper feeling than the common concept of "environmental protection", which is that the earth is not better because of human beings, but human beings have been doing some immoral things that disturb other species. By experiencing the three levels in the VR game "New Earth", most players said that this immersive approach allows them to redefine the way humans and nature get along.
Intergenerational care and labor supply for children ——Panel analysis based on follow-up survey data
Authors: Zhang Chunxu , Liang Yesheng , Yang Zhijing
Published: June 2024

At present, the aging situation of the population in China is more serious. Older parents helping young parents care for their children helps increase the employment rate of young parents. In this paper, using panel regression using data from CFPS2010, CFPS2012 and CFPS2014, the results found that the promotion effect of intergenerational care was higher in women than men, and on urban users than that in rural areas. In this paper, the problem of endogeneity is solved according to the measure of whether the parents are alive, and the robustness is tested by annual robust regression and linear probability model. Finally, according to the conclusion of the study, the policy suggestions of the elderly are put forward: identify with the value of the elderly, encourage family harmony, and improve the supply structure through policies to encourage intergenerational care.
Analysis of Changes in Water Body Area in Southwest, China Based on GEE
Authors: Gege Zhouhe , Liang Ke , Li Boao
Published: June 2024

It is of great significance for policymakers to develop management strategies for water resource regulation, habitat protection and wetland restoration. Based on the Google Earth Engine platform, this study extracted remote sensing data of water quality change in Southwest China in the past 20 years, combined with ArcGIS for spatial analysis, and used M-K trend test and mutation test to analyze the long-term temporal variation of water bodies in Southwest China. The analysis shows that the water area in Southwest China increased every five years from 2000 to 2020, but the growth rate changed, while the growth rate slowed down from 2010 to 2020, and the increase mainly occurred in the central and western regions. The results show that in the past 20 years, the water surface area in Southwest China has shown a statistically significant increasing trend, especially after 2020, this trend is more statistically significant. This study can provide a theoretical basis for the protection of water environment in Southwest China.
Study of Basement Design Based on PKPM Software
Authors: Wang Zhaohe
Published: June 2024

These instructions give you guidelines for preparing papers for DRP. Use this document as a template if you are using Microsoft Word 6.0 or later. Otherwise, use this document as an instruction set. The electronic file of your paper will be formatted further at DRP. Paper titles should be written four different keywords or phrases, as this will help readers to find it. It is important to avoid over-repetition of such phrases as this can result in a page being rejected by search engines. Ensure that your abstract reads well and is grammatically correct.
Aerodynamic Characterization of Glider Lift-to-drag Ratio and its Wing Shape
Authors: Liang Yunhao
Published: June 2024

As a type of fixed-wing aircraft without power devices, gliders have important value in aviation measurement, cargo transportation, and other scenarios. This article studies the application of aerodynamics and fluid dynamics in gliders, but the wing shape of a glider is not sufficient to provide sufficient aerodynamic characteristics for the glider. Therefore, based on the basic theory of aerodynamics, this article studies the relationship between the lift-to-drag ratio of a glider and the aerodynamic characteristics of its wing shape in the aviation field, and changing the shape of the wings to alter the difference in air pressure between the upper and lower air during the glider's flight. Furthermore, the force exerted on the glider during flight is altered to maintain its altitude and flight time. Different airfoils to find out which one can make the glider fly farther, safer, and at higher altitudes were tested. Finally, based on this study, the conclusion drawn is that the double convex wing shape can provide higher overall efficiency and stability for gliders during flight, despite its high cost. This study provides important references for the study of aerodynamic efficiency and stability of gliders.
Market Development and Global Expansion Strategies: An Analytical Study of Sephora
Authors: Ding Qiuxu
Published: June 2024

This article investigates Sephora's market development strategy as a leading worldwide retailer in the beauty business. A review of Sephora's target market, a comparison with IKEA's unplanned sourcing approach, and a detailed SWOT and PESTEL analysis yielded key results and recommendations for market development. Beauty aficionados who value high-quality goods and individualized shopping experiences are Sephora's target market. Sephora can improve shop layout and presentation, stimulate spontaneous purchases, and enhance sales by borrowing from Ikea's successful strategy. Sephora's excellent brand recognition, large product selection, and devoted client base are highlighted in the SWOT analysis, while opportunities for development in digital consumer interaction and promotional promotions are identified. Product diversification, collaborations, and growth into foreign regions are all possibilities for Sephora. Threats include competition from traditional and internet stores, as well as the problem of counterfeit items. The PESTEL research indicates the necessity of adhering to government rules, reacting to economic trends, responding to changes in beauty trends and sustainability, and utilizing technical improvements to enhance online business and sales channels. On this premise, it is suggested that online and physical sales channels should be used to complement each other.
ESG Performance and Corporate Specialization
Authors: Zhao Jiamiao , Chu Yunpeng , Li Jiaxi
Published: June 2024

Specialized division of labor can help hasten the creation of a new development pattern while also increasing the endogenous power and reliability of the domestic cycle. Based on research data from A-share listed company in Shanghai and Shenzhen from 2012 to 2022, this paper develops a two-way fixed-effects model to evaluate the impact of ESG performance on the division of labor specialization. The findings indicate that (1) ESG performance has a positive and significant effect on the division of specialization, and the result remains significant after the robustness and endogeneity tests. (2) ESG performance influences the division of specialization via two channels: governance and knowledge transfer effects. (3) Heterogeneity analysis reveals that the aforementioned effects are more pronounced for state-owned enterprises and those in the central and eastern areas. This report contributes to the research on the economic effects of ESG by providing empirical evidence for enterprise specialization.
Prediction and Distribution of Supernovae in the Epoch of Reionization Universal Model
Authors: Wang Lixing
Published: June 2024

The distribution of SNe during the epoch of reionization is usually determined by the Schmidt-kennicutt law, but the values and specific impact of different SNe types have been ambiguous. This study delves into the impact of Type Ia, Type Ib/Ic, & Type 2 Supernovae (SNe) effect on galaxy formation and distribution during the epoch of reionization, which in turn significantly influences and determines the symmetry and spread of elements, stars, galaxies, and even the cosmic microwave background radiation. The first phase determines the estimated amount of the SNe with neutral (hydrogen) fractions, photo-ionization rate for the H1 region, escape fraction with respect to redshift, and relative distribution of hydrogen number density all predicted by the THESAN simulations. The second phase determines the powers and scale of SNe in the reionization period using PDEs. The last phase calibrates the data on current SN remnants and progenitors such as mass, redshift, and composition to predict the evolution of SNE behavior since the epoch of reionization to contemporary astronomy. Then, using the provided data on SNe, this study will form a constructive model layering all three phases to determine the effect of different types of SNe during the ionization period and their patterns leading to today. Further research using the Nancy Grace Roman Telescope and telescopes specifically built to study redshift (like HERA and JWST) to have smaller error margins and more reliable data to determine a better fit for the distribution and impact of SNe in the Epoch.
Research on Demand Responsive Transit Route Optimization, Scheduling Models, and Solution Algorithms
Authors: Sang Yanling
Published: June 2024

Nowadays, urban traffic congestion is a serious issue, and the rise of demand responsive transit systems improves this problem to a certain extent. This paper delves into the route optimization, scheduling, and modeling of demand-responsive transit, exploring its seamless integration into urban transportation planning. This bus system aims to improve the efficiency of the transportation system, reduce congestion, and improve the urban environment, thus enhancing the quality of life of the residents. This study reveals the potential benefits of a demand responsive transit system in urban transportation planning, offering the possibility of increased flexibility and efficiency. Future research directions could further explore how demand responsive systems can be implemented in a targeted manner under different urban environments and demands to promote sustainable urban transport development. Considering the differences in cities, such as transportation structure, population density, and cultural characteristics, it will be crucial to develop appropriate implementation strategies. Meanwhile, combining emerging technologies, such as artificial intelligence and big data analytics, will provide strong support for further enhancement of the demand responsive transit system to better meet the travel needs of the residents and promote the development of urban transportation more sustainably. This study provides a valuable reference for urban planners and points out the direction for the improvement and development of urban transportation in the future.
Analysis of the Influence Mechanism and Path of the High-quality Development Manufacturing Industry
Authors: Chen Shixu , Chen Zhensheng , Lin Yanying , Gou Shengnan , Wu Peiquan
Published: June 2024

The rapid development of science and technology development, leading the change, the future has come, human across the information age, came to the digital technology, ubiquitous network, artificial intelligence and emerging technologies such as the number of intellectual times, at the same time with the disappearance of China's demographic dividend, shortage of resources, environmental policy, middle-income trap. The rising cost of production factors and other factors also lead to the domestic economic environment facing many changes in the change of development mode. This paper takes the practical problems and difficulties as the entrance, and through the analysis of the influence mechanism and path of the digital intelligent transformation of Midea companies, it provides corresponding countermeasures and suggestions for Foshan manufacturing enterprises to achieve high-quality development.his can result in a page being rejected by search engines. Ensure that your abstract reads well and is grammatically correct.
Reveal the Evolutionary Trajectory of Digital Innovation in Small and Medium-sized Enterprises
Authors: Chen Cheng
Published: June 2024

The continuous maturation and advancement of information technology and digital technology are compelling enterprises to embark on the journey of digital transformation. Numerous large enterprises have successfully undergone digital transformation. However, small and medium-sized enterprises (SMEs), as the largest group in the business world, face challenges in their digital transformation due to constraints in capital, technology, talent, and other aspects. This paper aims to summarize the obstacles hindering SMEs by reviewing relevant literature. The challenges faced by SMEs during the process of digital transformation include limited product portfolios, high capital costs, environmental fluctuations, inadequate understanding of digital technologies, limited human resources availability, and a need for standardized practices. Technological challenges also exist within this context due to resource limitations and insufficient knowledge about information management among SMEs. Nevertheless, these companies can leverage their relatively small scale and flexibility to achieve successful digital transformation through improved management capabilities. The objective of this article is to overcome these challenges effectively with sustainability at its core focus on driving innovation compliance with regulations/guidelines employee upskilling is crucial for SMEs' success in achieving balanced growth while undergoing sustainable digital transformations. Lastly, this paper emphasizes the complexity and diversity involved in SMEs' journey towards digitization providing feasible strategy suggestions based on reflection discussion combined with case analysis.
Retrospective and Prospective Research on Cultivation of Innovative and Entrepreneurial Talents between Universities and Enterprises
Authors: Wang Junling
Published: June 2024

This paper utilizes the CNKI journal database to retrieve literature related to "school-enterprise collaboration" and "innovation and entrepreneurship". It employs bibliometrics and utilizes CiteSpace for quantitative analysis and information mining, demonstrating the spatial distribution characteristics and evolutionary context of research on school-enterprise collaboration in innovation and entrepreneurship. The research results indicate that the academic community has a high level of interest in the topic of school-enterprise collaboration in innovation and entrepreneurship, covering aspects such as the current situation of talent cultivation, problem analysis, platform research for nurturing talents, and student innovation and entrepreneurship ability cultivation, and has achieved certain results. However, research on the talent cultivation system of school-enterprise collaboration in innovation and entrepreneurship is still in its early stages, and a systematic theoretical model has not yet been formed. Therefore, establishing a systematic ecological model for talent cultivation in school-enterprise collaboration in innovation and entrepreneurship, and strengthening research on ensuring the operation of the talent cultivation system for school-enterprise collaboration in innovation and entrepreneurship, will become an important trend in future research on talent cultivation in school-enterprise collaboration in innovation and entrepreneurship.
The Impact and Reconstruction of Computational Thinking on Educational Models in the Era of Artificial Intelligence
Authors: Tian Shenmeihao
Published: June 2024

This paper explores the impact and reconstruction of computational thinking on educational models in the era of artificial intelligence. With the rapid advancement of artificial intelligence technologies, the importance of computational thinking in the field of education is becoming increasingly prominent. The paper first introduces the concept of computational thinking and its significance in the era of artificial intelligence, then discusses the evolution of traditional educational models in the context of artificial intelligence and the need for adaptation. It further analyzes the influence of computational thinking on education, including integrating computational thinking into the curriculum, developing problem-solving skills, and fostering creativity and innovation. Lastly, strategies for restructuring educational models are proposed, such as promoting technology-driven learning, encouraging collaborative and project-based learning, and enhancing teacher training and professional development. The paper also discusses challenges and considerations, such as addressing equity and access issues and ensuring ethical use of artificial intelligence in education. Finally, future prospects and recommendations are provided, emphasizing leveraging computational thinking for enhanced educational outcomes and advocating for a holistic approach to educational transformation.
Research on the Relationship between Ideology and Social Governance
Authors: Wei Junfeng , Zhu Jiaben
Published: June 2024

This study delves into the complex relationship between ideology and social governance, particularly in the context of modern society. Using Emperor Justinian I of the Byzantine Empire as a case study, it examines the role of ideology in social governance and the underlying strategies and motivations. Analyzing the circumstances of Justinian I's reign, the study uncovers clues in his decisions across the domains of art, military affairs, governance, and religion. Through the use of art, Justinian I constructed an image of imperial supremacy, employed military strategies to ensure national security, enacted legislation to strengthen central authority, and promoted religious unity to foster national cohesion. These strategies reflect the shaping and maintenance of social governance through ideology while revealing how social governance influences ideology, resulting in a complex and mutually influential dynamic relationship. This research offers several recommendations for further exploration of the intricate connection between ideology and social domination. It advocates a deep understanding of relevant theories, historical case studies, and contemporary societal analysis. Interdisciplinary, comparative research with various methodologies and active participation in academic discourse are encouraged. The critical reflection is emphasized to maintain academic objectivity. By comprehensively analyzing the historical case of Justinian I, this study provides valuable insights for contemporary discussions within the realms of society and politics, especially in the current landscape marked by ideological divisions, populist movements, and global political challenges. Understanding the dynamics of ideology and social governance is of paramount significance in the modern world.
On the Reform of English Public Course Teaching Mode in Higher Vocational Schools
Authors: Zeng Youe
Published: June 2024

According to the English learning status, learning foundation and learning habits of students in higher vocational schools, multi-level teaching and experiential teaching are combined. Adopt flexible and varied teaching modes to stimulate students' interest in learning; Intuitive teaching, effective use of information technology teaching means, improve the classroom effect; Create a kind of autonomous participation in the teaching situation; Carry out various forms of extra-curricular activities, strive to create an English learning environment, integration of production and education, and reform the English teaching mode in higher vocational colleges.
Research on Development Strategies of Secretarial Studies in the Era of Integrated Media
Authors: Zhang Xiaoyan , Wan Zhihui , Chen Liyuan
Published: June 2024

The application of artificial intelligence, AR/VR, and other digital technologies has profoundly changed the demands and forms of the secretarial industry. Higher education institutions offering secretarial studies must keep pace with social development, redesign talent development models, curriculum frameworks, and teaching methods to cultivate highly skilled professionals who meet future job requirements. In the era of integrated media, secretarial studies face multiple crises, including a lack of awareness among teachers about integrated media teaching, inadequate application of integrated media technology in practical training, and a deficiency of innovative methods and content in practical teaching. However, the era of integrated media also brings opportunities for the development of secretarial studies, including effective integration of the professional characteristics of secretarial studies with the demands of the integrated media era, providing feasibility for cross-disciplinary cooperation with integrated media technology, and expanding the development space of secretarial studies. To address these challenges and opportunities, the development of secretarial studies requires a parallel approach of theory and practice, cultivating numerically intelligent secretarial professionals; leveraging integrated media technology to construct a multi-dimensional teaching system based on societal demands and enhancing media literacy. Through these measures, secretarial studies will better adapt to the development demands of the integrated media era, laying the foundation for cultivating application-oriented professionals capable of meeting future secretarial career requirements.
Analysis of Chinese Film Profit Model and Optimization Strategy
Authors: Yang Jiayi
Published: June 2024

With the development of China’s economy, people pay more attention to entertainment activities. Movies have become a great entertainment for people. The development of the film market has an important impact on people’s lives and the development of China’s economy. A good movie may not have high profitability, so studying the film’s profit model and optimization strategy is necessary. Films are monetized mainly through the sale of box office copyrights and derivatives. This paper mainly analyzes the shortcomings of the Chinese film profit model and proposes optimization strategies through the film “Heat”. Chinese films regard the box office as the most important way to make money while ignoring many other ways that have the potential to bring more money to the film. This article hopes to bring some new ideas to the film industry. As one of the entertainment methods of the masses, movies have also had a certain impact on the Chinese economy.
Preface: 6th International Conference on Global Economy and Business Management (GEBM 2024)
Authors: Frederick Eugene , Zhang Weijin
Published: June 2024

The 2024 6th International Conference on Global Economy and Business Management (GEBM 2024) for the researchers and scientists was successfully held in New Delhi, India during January 20-21, 2024. This conference provides a forum for accessing to the most up-to-date and authoritative knowledge, sharing the best practice in the fields of global economy, world trade, financial investment, real estate, economic policy, e-commerce, and business management.
The GEBM 2024 program covered invited, oral, and poster presentations from scientists working in similar areas to establish platforms for collaborative research projects in these fields. This conference brought together many participants to exchange and share their experiences, present research results, explore collaborations and to spark new ideas, with the aim of developing new projects in these fields.
The organizing committee appreciates the enormous work of the both the editorial board and reviewers in the preparation of this volume. Many thanks also to all authors for their flexibility and meeting deadlines.
With warmest regards,
GEBM Conference Organizing Committees
New Delhi, India
Performance Analysis of Internet Enterprises From the Perspective of ESG: A Case Study of NetEase
Authors: Ma Wei
Published: June 2024

In recent years, corporate performance evaluation has been mainly focused on financial performance, and there are few studies on the construction of performance evaluation system containing non-financial indicators. Especially since the concept of ESG was put forward by the Financial Action Agency of the United Nations Environment Program in 1992, environmental, social and corporate governance have gradually attracted the attention of social investors. Internet technology has helped the rapid development of domestic economy. Taking NetEase as an example, this paper aims to combine the concept of ESG with the financial performance of enterprises, establish an ESG performance evaluation system of Internet enterprises, and evaluate the system. It is found that the ESG performance evaluation system is more effective than the traditional performance evaluation, and finally summarizes the experience and enlightenment of ESG performance implementation.