bluuebunny/crossref_metadata_2025 huggingface dataset:
Online Learning Engagement and Gains Among International Students in China
Authors: Li Yumeng
Published: June 2024

This study utilized learning engagement, learning participation and constructivism theories in analyzing the online learning engagement of international students in China. Drawing on the more comprehensive CCSS questionnaire developed by scholars on the basis of NSSE-CHINA, this study collected data on the online learning engagement among international students in China and their learning gains through online questionnaires. The researcher integrated the data through using descriptive statistics. The empirical results of this study show that most of the international Chinese students agree on their online learning engagement with behavior as the highest, followed by social, cognitive and emotional as the lowest; majority of the respondents agree on their learning gains with attitude learning as the highest, followed by knowledge and skills; that there is highly significant relationship between online learning engagement of students and their learning gains; meaning, when the behavior, social, cognitive and emotional learning engagement of the students are high or positive, their attitude, knowledge and skills are also positively influenced. As a result of the study, the researcher proposed an action plan for the students’ online learning engagement enhancement.
Enterprise Internationalization and Enterprise Innovation Performance: The Regulating Effect of Equity Incentive
Authors: Yu Zijie
Published: June 2024

Against the backdrop of globalization in today's era, Chinese enterprises are experiencing a flourishing trend of internationalization. With the rise of the Chinese economy and the continuous advancement of reform and opening up, an increasing number of Chinese enterprises are actively integrating into the global market, seeking the resources needed for their own development on a global scale, enhancing innovation capabilities, and striving to improve their position and influence in the global value chain. This article takes 647 manufacturing enterprises as the research objects, subdivides the measurement of internationalization into depth and breadth, quantitatively explores the impact of the depth and breadth of enterprise internationalization on innovation performance, and investigates the moderating effect of equity incentives. The results show that: the depth of internationalization significantly promotes innovation performance of enterprises, and equity incentives positively moderate the relationship between them; the breadth of internationalization significantly promotes innovation performance of enterprises, and equity incentives positively moderate the relationship between them.
The Relationship between Teacher Leadership and Campus Culture in China: Towards Enhancing the Quality of Campus Students’ Life
Authors: Guo Jing
Published: June 2024

Higher education plays a pivotal role in modern society. Not only individuals equip with knowledge and skills but also shapes the future of the community. Higher education institutions globally are continuously striving to enhance their educational quality to meet the needs of students and society. However, higher education is more than just the delivery of courses and materials; it encompasses a myriad of factors, including faculty leadership and campus culture. rofound analysis of faculty leadership, campus culture, and students' quality of life in relation to higher education satisfaction can provide invaluable insights and recommendations for decision-makers in higher education. This study also aids in elevating the administrative standards of educational institutions, thus enhancing educational quality and student satisfaction. Ultimately, this contributes to the ongoing development and refinement of China's higher education system, offering students a superior educational experience and making a significant contribution to societal advancement.
Mirror field optimization model based on thermal power maximization
Authors: Pei Zhiyu , Jin Zhenze , Chen Ye , Wang Yu
Published: June 2024

Optimization of the heliostat field is very important in order to improve the performance of solar power tower (SPT) and reduce the construction cost. In this paper, we simulate and analyze the reflection relationship of the heliostats in the heliostat field and find the adjacent heliostats to the current heliostat by solving the distance matrix. The neighboring heliostats are projected onto the plane of the current heliostat, and the shadow-free region of the heliostat is obtained by the ray-tracing method and by considering the sunlight as a cone of light. The shadow blocking efficiency can be calculated based on the number of light strips in the region, and similarly the truncation efficiency can be calculated. Based on the circular heliostat field, a new cross-density distribution model based on the circular heliostat field is proposed. Under the condition of confirming the annual average thermal power, the distribution of the heliostat mirror field with the maximum thermal power per unit area, the optimal installation height and mirror size can be obtained.
Classroom Teaching of Engineering Courses Assisted by Artificial Intelligence and Digital Twin Systems
Authors: Tu Yuxiaoying , Song Wuyu
Published: June 2024

This paper explores the integration of Artificial Intelligence (AI) and Digital Twin systems in the classroom teaching of engineering courses, with a focus on the Industrial Robot Technology course1. It addresses the challenges of traditional practical teaching methods and proposes a new model that leverages AI and Digital Twin technology to enhance student engagement, improve learning outcomes, and better prepare students for the demands of the industry. The paper discusses the implementation of AI-assisted teaching, the creation of a ubiquitous teaching ecology, and the strengthening of vocational skills through digital twin.
On the Educational Significance of Historical Textbooks for Adolescents' Ideological Consciousness, and Their Impact on Sino-Japanese Relations — Taking the Changes in Narrations on the War of Resistance against Japan in Chinese and Japanese History Textbooks as an Example
Authors: Liu Zhiai
Published: June 2024

Significant disparities exist in the narratives of the Sino-Japanese War (1931-1945) as presented in Chinese and Japanese history textbooks. Both countries, influenced by their unique political, economic, and cultural stances, have made diverse revisions to their history textbooks at different times. This paper compares narrative changes in the history textbooks of both countries, contending that textbook revisions aim to shape adolescents' ideological consciousness and historical perspectives, influencing their political socialization tendencies and behaviors. As Japan refashions its historical textbooks, it impedes the young generation's ability to glean insights from history, potentially cultivating a cohort characterized by unwarranted arrogance yet lacking a sense of responsibility. The ongoing discourse surrounding historical textbooks consistently rekindles poignant memories among the Chinese populace, instilling fears of Japan repeating the errors of militarism and consequently, fortifying the younger generation's recollection of a humiliating past. China and Japan, not only wielding significant influence on regional security in East Asia but also playing pivotal roles in global peace and stability, should embrace equitable and amicable exchanges. Such exchanges can foster increased mutual trust and reciprocal benefits, representing the appropriate path for China and Japan, nations separated by a narrow body of water with a longstanding history of friendship.
Breast Cancer Staging Prediction Based on Logistic Regression Model
Authors: Wu Tong
Published: June 2024

Breast cancer is one of the most common diseases in women. It is important to diagnose whether a patient’s breast cancer is benign or malignant as early as possible because there are different treatments for different stages. If the spread of cancer and tumors can be controlled early, patient’s suffering can be reduced and survival rates improved. In order to determine if a patient has benign or malignant breast cancer, this article will develop a breast cancer staging prediction model using a popular machine learning approach called logistic regression. The Wisconsin Breast Cancer Diagnosis (WBCD) dataset, provided by the University of Irvine Machine Learning, is the basis for the logistic regression model used in this study. A confusion matrix is utilized to assess the model’s accuracy as well as Type I and Type II errors. The Type I and Type II errors’ percentages are very small, the accuracy of the logistic regression model is 94.958%, which is not very high thus it may not be recommended for people to use and rely on this model to predict breast cancer, people can consider other prediction models. Furthermore, there may be several factors which may lead to the low logistic regression model’s accuracy, such as the size of the database, selection of samples, or the selection of variables.
Prediction of the Development of China's New Energy Industry
Authors: Li Peitong , Wei Hu , Fu Jiaqi
Published: June 2024

In the past decade, China's new energy vehicle industry has developed rapidly due to the influence of national policies. In recent years, China has started planning to cease policy support for the new energy vehicle industry. Therefore, predicting the future development of China's new energy industry is of great significance for policy-making in China. This paper selects 10 factors influencing the development of new energy electric vehicles in the past ten years and 4 indicators reflecting the development of new energy electric vehicles. We combine the Entropy Weight Method with TOPSIS to score the development status of new energy electric vehicles based on 4 indicators. Then, we use Principal Component Analysis to reduce the dimensionality of the ten influencing factors to three principal components. To quantify these effects, Lasso regression is performed using 3 principal components to prevent overfitting. Therefore, this article obtained a model for predicting the development status of China's new energy vehicle industry, with a goodness of fit of over 0.98, indicating a good fit of the model. In order to predict the development score for the next decade, this paper first predict the data of ten factors for the next decade. The factors that remain unchanged are not treated. Factors that change the trend significantly are predicted using GM (1,1) and the forecast is good. For stationary time series, this paper collects data from nearly 20 years and trains on Long Short-Term Memory Networks. R2 = 0.891 and RMSE < 0.1, Therefore, the model can be used to predict data for the next 10 years. After obtaining various data, this paper obtains the development score of new energy electric vehicles in the next 10 years according to the regression equation. Finally, this paper concludes that the development and progress of China's new energy industry will slow down in the next decade, with a score increase of about 20%.
Current Research on CO2 Reduction Technology
Authors: Feng Zikun
Published: June 2024

The technology of carbon dioxide reduction has become a focus of research in the fields of environmental protection and sustainable development. With the exacerbation of global warming and energy crises, the issue of carbon dioxide emissions has become increasingly severe, exerting immense pressure on human society and the natural environment. In this context, carbon dioxide reduction technology has emerged as one of the important approaches to addressing climate change and energy demands. This technology involves the reaction of carbon dioxide with hydrogen or other reducing agents to produce organic compounds or fuels. Its advent not only promises to reduce carbon dioxide emissions but also to convert carbon dioxide into useful organic compounds or fuels, thereby facilitating the recycling of resources. The development of carbon dioxide reduction technology holds significant implications for addressing climate change and energy demands. By employing this technology, discarded carbon dioxide can be transformed into valuable products, reducing reliance on fossil fuels, lowering greenhouse gas emissions, and providing new energy sources for sustainable development. Furthermore, carbon dioxide reduction technology has the potential to integrate with other fields such as photocatalysis and electrochemistry, further expanding its application scope and reducing costs. This paper aims to provide reference and guidance for further research and industrial application of carbon dioxide reduction technology, promoting its sustainable utilization and environmental friendliness in practical production.
Optimizing Warehousing Strategies for Retail Food Live Streaming on Supply Chain Cost: A Case Study of TikTok
Authors: Bao Pengnan , Liu Jinyuan , Zhang Yuxin
Published: June 2024

The outbreak has indeed left a significant impact on the traditional offline sales model. However, it has simultaneously catalyzed the flourishing growth of the e-commerce live-streaming industry. Consumers have progressively adapted to this novel online shopping mode, signifying a paradigm shift in retail dynamics. Therefore, this paper studies the cost problem under different strategic choices of logistics and warehousing for retail food from the perspective of a platform system and analyzes the after-sale cost of a two-level retail food supply chain consisting of a manufacturer and an e-commerce platform by combining data and theory. This study further analyzes the optimal decision problem for e-commerce cloud warehousing, traditional warehousing systems and a combination of e-commerce cloud warehousing and traditional warehousing systems. This study not only enhances our understanding of the profound shifts in the retail food sector but also equips e-commerce platforms with concrete theoretical insights and practical references to bolster their supply chain cost management strategies in a post-outbreak era characterized by evolving consumer preferences and dynamic market conditions.
Analysis of the Impact of Population Aging on the Economy and Countermeasures —— Take China as an Example
Authors: Ning Jian
Published: June 2024

Since the reform and opening up, China's population aging has gradually deepened, and nowadays, population aging has become one of the most concerned issues for China's economic development. Therefore, the research theme of this paper is the current situation and development trend of population aging in China and specifically analyzes the impact of population aging on economic development in terms of labor supply, employment, and investment. The research methods of this paper are literature analysis and data analysis. It is found that the proportion of China's aging population in the total population is already greater than 16.7%, and it will accelerate in the future. And the rise of the aging population has different degrees of negative impacts on labor supply, employment, and investment, and has an inhibitory effect on economic development. Therefore, this paper suggests that in the face of the challenge of population aging, the state can increase the investment in human capital, encourage enterprises to innovate, and improve production performance through new technologies. Rational use of the demand generated by aging, and the development of the service industry to increase employment.
The Optimization Strategy: Enhancement for Aerobics Teachers in College and Universities in China
Authors: Niu Qi
Published: June 2024

Aerobics is one of the physical fitness activities that trains the body with easy exercise and non-excessive psychological disturbances. However, the implementation and promotion of aerobics in schools and universities is crucial, since it is the ideal place for young people to conduct physical activities with socialization. Nowadays, colleges and universities have developed their aerobics curriculum based on the needs, trends, and innovation to optimize the tools in teaching of aerobics. In the system optimization, the quality of education is monitored fairly objectively, which increases the rating of the higher education institution, stimulating the development of the range of educational services, directions and specifications of training. The purpose of the study was to determine the social and fitness value of teaching college aerobics and use of optimization strategy with multimedia, music, and dance of PE teachers in China who were teaching aerobics. Through descriptive comparative and correlational analysis, the respondents assessed low value in the indicators of psychosocial and fitness value in teaching aerobics and they hardly use optimization strategies with multimedia, music dance. The results of the differences and correlation among variables were discussed. Thus, teaching enhancement program in teaching aerobics was designed as the output of the study.
Analysis and Solution of the Governance Dilemma of Infringement of Car-Hailing Platforms under Sharing Economy
Authors: Zhang Jiaqi
Published: June 2024

In the current era of rapid development of the Internet, the sharing economy based on the Internet, which combines individual idle resources through the "P2P" mode with the demand side, has emerged at the historic moment and caused various commercial activities. As the leading industry in the sharing economy, online ride-hailing not only mobilizes the social transport capacity and maximizes the economic dividend, but also causes many legal problems due to the lag of laws and regulations. This paper takes the basic legal relationship of online ride-hailing as the starting point, analyzes the infringement disputes arising in the supervision, and puts forward some suggestions for improving online ride-hailing from the relief system and the distribution of legal responsibilities.
The Impact of Gender Diversity in Top Management on Firm Performance
Authors: Lu Hanyu
Published: June 2024

This paper provides a comprehensive systematic literature review of the existing research on the impact of gender diversity in top management team on firm financial and non-financial performance. This paper summarizes the studies on the impact of gender diversity in TMT on performance through a systematic literature review. Firstly, this paper present the theoretical basis used to describe the relationship between them, and highlight the significance of the complexity perspective to address the limitation of measuring firm financial performance intently as a function of gender diversity in top management team from a singular theoretical perspective. Further, this paper review empirical literature on the relationship between gender diversity in top management team and corporate financial and non-financial performance, and discussed both positive and negative impacts in financial performance. Finally, based on the results of literature review, this paper present the conclusion and future research recommendations.
The Impact of the Opening of China-Europe Railway Express On the Development of Foreign Trade in Anhui Province
Authors: Wu Qiwen
Published: June 2024

Since the "Belt and Road" initiative was put forward, China-Europe freight trains, as an important international transport channel for the Eurasian continent connectivity, have enhanced the level of bilateral trade facilitation and economic and trade cooperation, and had a profound impact on the development of foreign trade. Central trains is China to Europe and the "Belt and Road" international transport trains, central trains opening is the "Belt and Road" initiative China strengthen and countries along the important measures of connectivity, is an important gripper to promote the "Belt and Road" initiative, is an important part of "unicom" facilities, the opening of changed the previous central trains rely solely on maritime transport of export, greatly improve the level of export facilitation and management efficiency, for the improvement of foreign trade development provides strong conditions. The performance of China-Europe freight trains is even more impressive under the epidemic. As a huge potential mode of transportation between Europe and Europe, its importance is gradually emerging.
How Brand Differentiation Influences Product Pricing Strategy Choices
Authors: Wang Weihan
Published: June 2024

In the context of increasingly fierce market competition, brand differentiation has become a key factor for companies seeking breakthroughs. Given the diversification of consumer demands and the growing issue of product homogeneity, brand differentiation is particularly crucial. It not only enables a company to stand out among competitors but also profoundly influences product pricing strategies. Brand differentiation involves more than just image shaping; it requires developing measures that align with a company's actual situation to enhance competitiveness. By creating a unique brand image, offering personalized product features, and delivering exceptional service experiences, companies can cultivate strong consumer identification and loyalty. Therefore, brand differentiation can help companies maintain a competitive position in intense industry competition. If competitors adopt a pricing cut strategy, companies with differentiated brands can maintain or increase price levels by offering value-added services or strengthening their brand image, avoiding price wars. Consequently, when formulating market strategies, companies should emphasize the construction and utilization of brand differentiation to achieve better market performance and economic benefits.
Influence of structural parameters of distributor disk on flow pulsation in axial piston pumps
Authors: Shi Rongqiu , Sun Zegang
Published: June 2024

Firstly, a virtual prototype of axial piston pump AMESim is used to observe the effects of outlet pressure, swashplate inclination, bulk modulus (compressibility), density, dynamic viscosity, air viscosity, air content, dead space volume, leakage of mating clearance of the moving parts, plunger cylinder clearance, eccentricity, contact length of the copper bushing of the high-pressure piston pump, and the over-flow area of the flow distributing disk on the swashplate torque, the pressure in the plunger chamber, the pulsation in the flow rate, and the backing-up. To explore the influence of fluid noise, mechanical noise and air noise. After comparison, the overflow area of the disk, which has the greatest influence on the noise, is selected as the research object, in which the structural parameters of the disk are the most important influencing factors. Finally, it is found that too large or too small overflow area will aggravate the fluid noise and mechanical noise of the piston pump. Therefore, the optimized design of the structure of piston pump flow distribution plate is of great significance to reduce the vibration and noise of the hydraulic system. This study catches the optimization method of axial piston pump flow distribution shock, which can provide a reference for the design and optimization of axial piston pumps.
MapReduce Algorithm on a Serverless Platform
Authors: Zou Hongpeng
Published: June 2024

Using the MapReduce (MR) programming technique, large-scale data processing tasks can be divided into tasks that are easier to manage and independent. The serverless implementation's performance is better than the non-serverless MR model when the model parameters are altered in the experiment. Optimizing the use of the MR model on the serverless platform can be achieved by taking into account the relationship between implementation efficiency and platform settings. Additionally, it can act as a source of inspiration for future serverless hardware support configurations. Also, the serverless platform demonstrates how it improves the effectiveness of resource utilization in machine learning training. The intended result can then be achieved by combining the results of these concurrently operating jobs on server clusters. This work adapts MR, a popular big data processing framework, to the serverless platform, emphasizing realization simulation principles and services, and then uses the results in a word count experiment. The experiment uses a word count of about eleven thousand words to evaluate how well MR is implemented on Alibaba Cloud. It is validated for execution time on the platform with varying Central Processing Unit (CPU) core counts, memory configurations, and worker counts. By testing several platform configurations, it is found that the memory configuration has very little impact on the model's execution time, while the size of the CPU core has a considerable impact on reaction time relative to the number of workers.
Analysis of the Technological Innovation and Application Prospect of Dental Chair Under the Background of Digital Transformation
Authors: Zhang Chao
Published: June 2024

With the further development of digital transformation, dental chair technology, as a key equipment in the field of oral medicine, is experiencing unprecedented technological innovation. This paper first reviews the traditional development of dental chair technology and analyzes the bottlenecks and shortcomings of existing dental chair technology. Subsequently, the article focuses on the impact of digital transformation on dental chair technology, including intelligent, networked, personalized and other aspects of technological innovation. These innovations not only improve the performance and comfort of dental chairs, but also improve the accuracy and efficiency of oral treatment. Driven by the digital transformation, the dental chair technology has a broad future development prospect and is expected to play a greater role in the field of oral medicine. This paper also discusses the potential applications of dental chair technology in future oral medicine, including telemedicine, personalized treatment, and intelligent assisted diagnosis. Finally, the paper summarizes the significance of technological innovation in the context of digital transformation, and prospects the future development trend.
Optimizing Data Transfer Across Asynchronous Clock Domains: A Comprehensive Approach to Asynchronous FIFO Circuit Design
Authors: Zhang Xipeng
Published: June 2024

As integrated circuit (IC) design continues to advance in scale, there is a growing trend towards integrating more components onto the same IC board, resulting in larger circuit boards. These expanded circuit boards often encompass diverse asynchronous clock domains, leading to inevitable data transfer challenges between these distinct clock domains. This research article focuses on Verilog-based asynchronous first in first out (FIFO) design as a solution to effectively address this issue and offers a robust design approach to enhance circuit integration and stability. By employing conventional asynchronous FIFO design principles, such as the utilization of binary conversion Gray code to synchronize clock operations for pointer-to-address mapping and the incorporation of empty/full flag status bits to facilitate empty/full signal generation determination, seamless data transfer between various asynchronous clock domains is successfully achieved. Furthermore, this article includes comprehensive testing and simulation using Testbench to validate the asynchronous FIFO circuit, with successful results. The primary objective of this article is to present a well-established and comprehensive design methodology for asynchronous FIFO circuits, equipping designers with a mature and reliable approach to tackle the challenges posed by increasingly complex IC designs.
A Study of Donne's Poetry in Postcolonial Feminist Perspective: To His Mistress Going to Bed
Authors: Chen Yijing , Zou Yixuan
Published: June 2024

To His Mistress Going to Bed is a love poem by John Donne, a British metaphysical poet. The poem describes the process in which the male protagonist seduces the female protagonist. Most critics focus on the mystical metaphor of Donne as a poet, but lack attention to the underlying significance of this poem. This article analyzes the female subject in poetry based on the theory of postcolonial feminism, revealing that the female subject in the poem is in a state of being banned by mainstream Western society, suppressed by patriarchal society, and colonized. It studies the issue of identity loss and identity construction of female subjects; This article also explores the social background and cultural colonization of the Elizabethan and James I eras in which the poet lived, and the subtle influence of colonial consciousness on the poet and his poetry. Ultimately, it is concluded that John Donne constructed a textual world of "others" through the poetic text in the process of creating this poem. This paper provides a new perspective for the study of postcolonial feminism and helps to drive people to engage in new reflections.
Constructing Efficient ASM Organic Solar Cells Based on DRCN5T
Authors: Yan Hongjun
Published: June 2024

All-small-molecule (ASM) donor-acceptor materials have the advantages of good molecular reproducibility and relatively simple synthesis operations. In this paper, the small molecule donor material DRCN5T was synthesized and its related properties were investigated. The HOMO result of DRCN5T was determined to be -5.27 eV. The LUMO energy level was -3.62 eV. In terms of UV-visible absorption, the DRCN5T thin film exhibited a redshift due to π-π stacking as compared to CF solution. Finally, DRCN5T:IDIC-based ASM devices were prepared. After the solvent vapor annealing treatment, the device performances were significantly enhanced, with an open-circuit voltage (VOC) of 0.95 V, a short-circuit current density (JSC) of 12.66 mA cm-2 and a fill factor (FF) of 61.40%, and the power conversion efficiency (PCE) was 7.40%.
Research on the Marketing Strategy of Barbie Based on the Chinese and German Markets
Authors: Liu Yuying
Published: June 2024

“Barbie”, a film about women’s awakening, was released this summer. It stimulated discussions regarding women’s independent thinking among internet users and encouraged the economic growth of connected companies. Several well-known brands, including HM, Zara, and other apparel retailers, have seen the development of numerous ancillary products. However, domestic and foreign cinema markets should use distinct marketing strategies due to various cultures and concepts. As representations of Asian and European cultures, China and Germany have diverse historical backgrounds. In order to discover a more effective marketing strategy for the Chinese market and raise Barbie’s box office in China, this essay compares the different methods of marketing used in China and Germany and analyzes the factors that contributed to the lower box office in China. This will not only reduce the pressure but also concentrate the audience, choose to promote the film around the university, increase the sales of the female audience, and attract some male audience simultaneously.
Research on Student Learning Attitude Evaluation Model Based on TOPSIS Comprehensive Evaluation Algorithm
Authors: Wu Huizi , Yang Yizhou , Xue Tingting , Zhang Xiaoyao , Chen Lei , Zhang He
Published: June 2024

In order to ensure the quality of teaching in universities, this article uses the TOPSIS comprehensive evaluation algorithm to help analyze the learning attitude of school students, as well as the class atmosphere and academic atmosphere of the college. At the same time, a list of five classes with the best academic atmosphere, three colleges, and sixty students with positive and negative learning attitudes were selected. Firstly, this article conducts a quantitative analysis of the scores and participation in the tests of 9048 students. The article identifies three factors that reflect students' learning attitudes: average test score, standard deviation, and participation rate in the tests. Then, based on student test data, an evaluation model reflecting the academic atmosphere, class atmosphere, and student enthusiasm of the college was established based on student performance information. The model results were ranked to obtain the ranking of model scores for each college, class, and student. By studying student data and quantifying the characteristics that reflect their learning attitudes, three indicators that can effectively reflect student attitudes and enthusiasm were established by analyzing the attached data. When assigning weights to factors, it is necessary to consider the importance of the factor in describing student attitudes, and make judgments and trade-offs based on specific situations. In response to this situation, although the standard deviation can reflect the stability of students' grades, it is greatly limited by the number of tests, while test completion and average score can better reflect students' learning attitude and performance. Therefore, subjective weighting method can be considered to assign weights to these three indicators, which are average score, standard deviation, and test participation rate, respectively; 0.3, 0.2, 0.5. By using the TOPSIS method and combining three indicators, establish an evaluation model for the academic atmosphere of the college, a class atmosphere evaluation model, and a student motivation evaluation model. Finally, evaluate the academic atmosphere of each college, class atmosphere, and the learning enthusiasm of each student. Based on the evaluation results of the model, this article selected a list of five classes with the best academic atmosphere, three colleges, and sixty students with positive and negative learning attitudes.
Mathematical Model for COVID-19
Authors: Kong Lingfei
Published: June 2024

Since the end of 2019, novel coronavirus has started to spread around the world and continue to mutate. From the initial Alpha to Delta and Omicron, it continues to affect our economic, social and spiritual life. In the process of prevention and control of COVID-19, many people are constantly questioning the prevention and control measures taken in China, such as wearing masks when going in and out of public places, washing hands frequently when going out and back home, regular disinfection in public places, the necessity of building large-scale shelter hospitals, fixed-point isolation of close contacts and infected persons, and universal vaccination. In this paper, the mathematical models, Si, Sir, SEIR, SEIRD, are used to scientifically reveal the transmission link and future development trend of novel coronavirus; At the same time, through mathematical analysis, the necessity of the above new crown epidemic prevention measures is explained in detail.
Research on optimization of engineering parameters of effective action distance of multi-stage alternating injection acid etching
Authors: Li Dan , He Le , Ren Yong , Xie Xinjie , Li Ying , Li Jun , Han Xu
Published: June 2024

This study calibrated the numerical simulation model by using indoor experiments to measure experimental data related to conductivity, acid rock reaction kinetics and acid fluid loss, and combined it with the numerical simulation model to calculate the multi-condition acid flow under multi-physics coupling . The effective action distance of the acid liquid is finally formed, which can be used at 200℃ and 250℃. The effective action distance of the acid liquid is related to the amount of acid liquid and the number of acid liquid injection stages. A set of quick diagrams that can be quickly applied to multi-stage Alternate injection process design and optimized workflow. After calculation, it is concluded that: for the 200℃ formation, it is recommended that the total amount of acid used in the level 3 injection process should be more than 400m3; if level 2 injection is used, taking into account both cost and benefit, the total acid amount of 300m3 can be close to the same amount of acid in level 3 The effective range of the injection. For the 250℃ formation, it is not recommended to use a solution with small liquid volume and multiple stages. If level 3 injection is used, it is recommended that the acid dosage be more than 500m3; if level 2 injection is used, taking into account both benefits and costs, it is recommended to use 400m3 acid liquid . Injection can obtain an effective distance similar to that of level 3 injection with the same amount of acid.
Research on Apple Target Recognition and Counting Method Based on Yolov5.
Authors: Chen Kun , Zhou Wei , Xu Quanjie , Shen Jiajiang , Zhao Kaiyang
Published: June 2024

In this study, a YOLOv5 target recognition model was established to extract apple feature information and predict the number and location of apples in 200 pictures. First, the model is trained using the training data set, and the validation data set is validated to obtain the best model weight and parameter information. Secondly, this paper specifies that the training times are 50 times, the batch size of one read is 16 times, and the training is carried out through data enhancement operations to enrich the training data set. Finally, the weight and parameter information with the highest average verification accuracy and recall rate were selected for the 20th time to predict 200 pictures, and then the number of apples in each picture was counted.
The Evaluation System and Continuous Improvement of College Physical Education Teaching in Guangdong Province
Authors: Zhu Rongping
Published: June 2024

The purpose of this study is to explore the construction of the evaluation scale of college physical education teaching in Guangdong Province, to ensure that the evaluation tool can provide accurate, reliable and effective evaluation results, thus supporting and guiding the improvement of the quality of college physical education teaching in Guangdong Province. Through the analysis of the validity of evaluation tools, the validity and reliability of the scale, the research found that most of the items were effective in evaluating the ability and performance of PE teachers. The result of factor analysis shows that the items of evaluation tools can be divided into six main factors: 1) Continuous Learning and Improvement; 2) Instructional Strategies and Assessment; 3) Collaborative Learning Environment; 4) Technology Integration; 5) Subject Knowledge and Curriculum Alignment; 6) Professional Ethics and Growth. In addition, it also verified the consistency of evaluation between teachers and managers and between different work units.
Corporate Social Responsibility in E-commerce: Insights from Pinduoduo Stakeholder Interview
Authors: Zhang Kailai , Geng Changjian , Bustami Mohammad Reevany Bin
Published: June 2024

This study explores the Corporate Social Responsibility (CSR) practices within Pinduoduo, a leading and controversial e-commerce platform. Through qualitative interviews with Pinduoduo’s market promotion employees and resident merchants, the research reveals a nuanced relationship between rapid growth and ethical business conduct. While Pinduoduo’s innovative business model and aggressive marketing strategies have driven significant growth, they have also led to concerns about counterfeit goods and consumer-first policies. The study recommends stricter merchant entry regulations and continuous monitoring to enhance ethical standards. Pinduoduo’s commitment to ESG principles is highlighted through supply chain optimization and technological advancements in logistics, which have reduced environmental impacts. Strengthening collaborations with government agencies and consumer protection associations is also suggested to further improve regulatory compliance and consumer trust. This research underscores the importance of integrating CSR into core business strategies to achieve sustainable growth in the e-commerce sector.
Comprehensive Evaluation of Esophageal Cancer Surgical Treatment Quality in Tertiary Hospitals of a Prefecture-level City Using the TOPSIS Method
Authors: Ji Rendan , Yang Jie , Zhang Wei
Published: June 2024

This study employed the TOPSIS method to conduct a comprehensive evaluation of the esophageal cancer surgical treatment quality in tertiary hospitals of a prefecture-level city in China from January to September 2023. The analysis aims to provide data support for health administrative departments and hospitals, guiding the optimization of future treatment strategies. The results reveal that among the participating hospitals, Hospital 8 had the highest treatment quality, while Hospital 2 had the lowest. Based on these findings, we recommend accelerating the development and accreditation of relevant disciplines in underperforming hospitals to promote the standardization and regulation of esophageal cancer diagnostics and treatment, thereby improving overall treatment outcomes.
Study of Campus Governance in the Middle and Higher Education Articulation Community based on a Holistic Governance Perspective
Authors: Lin Qiangqiang , Li Yuxuan
Published: June 2024

Vocational education reform has always been a hot topic in the field of education in China, the integration of vocational education is the key direction of vocational education reform, the integration of vocational education across the country for the exploration of reforms continue to be carried out, in addition to the talent training system, the education model on the attempts, but also in the reform of the campus model, which Wenzhou Vocational and Technical College Yongjia College, for example, will be the secondary school and the high school into the same campus, to achieve full articulation and integration at the physical level, to build a community campus of middle and high vocational articulation. In the case of Yongjia College of Wenzhou Institute of Vocational Technology, for example, it has moved the secondary and higher vocational into the same campus, which has realized full articulation and fusion at the physical level, and constructed a middle and higher vocational articulation community campus. Focusing on the problems in campus governance of this new form of campus, research is carried out from the perspective of holistic governance, and countermeasures are proposed.
Influencing Factors of Exopolysaccharide Production by Lactobacillus and Application
Authors: Zhang Xinyun
Published: June 2024

Lactic acid bacteria are probiotics that have beneficial effects on the human body. Exopolysaccharides are one of the products of lactic acid bacteria metabolism. At present, it has been proven to play an important role in food processing, which can replace some additives and make food healthier and safer. There are many factors that affect the yield. At present, the best fermentation technology of exopolysaccharides produced by various lactic acid bacteria has been studied. In this paper, the effects of 5 different environmental factors on the production of exopolysaccharides were analyzed. It was found that carbon source was the most important factor affecting the production of exopolysaccharides. And it shows how it can be used in the food industry. The results provided a reference for the optimization of fermentation conditions of other lactic acid bacteria. However, the question that still needs to be solved is whether these effects will have an impact on the subsequent industrial applications, and researchers can pay attention to this research in the future.
Application of MOFs-membrane in post-combustion carbon capture for electricity and thermal energy plants
Authors: Zhu Kuangdi
Published: June 2024

Greenhouse gas emission typically carbon dioxide which result to global warming is becoming a very acute issue to human society. In order to achieve a sustainable development and society, various approaches to reduce carbon emission have been investigated and applied to industry where the majority of carbon emission happens in recent decays. Carbon capture is one of the key ways to address the emission and widely applied to coal-fired power plants. However, typically carbon capture process requires high energy input during the absorption and desorption process with lead to a low net carbon captured rate and high cost of operation. Materials with low energy penalty and high carbon affinity is desired to address this problem. In this research, a more advanced material, metal-organic frameworks (MOFs), for carbon capture under post combustion condition is introduced and evaluated from single material and cooperating with mixed-matrix-membranes to achieve membrane separation. Furthermore, MOFs are usually lack of stability and CO2/H2O selectivity. CALF-20 as the solution to these problems will be introduced later.
Study on the Utilization of Pictures in Vocabulary Instruction for International Chinese Language Education
Authors: Cao Yuyan
Published: June 2024

Vocabulary is the fundamental component of discourse, and its teaching effectiveness will directly impact the construction of learners' Chinese language learning system. In order to enhance the effectiveness of vocabulary teaching, international Chinese teachers actively explore various teaching methods. Among them, pictures are considered an important and effective teaching tools that has been widely adopted and applied. Using pictures to assist in vocabulary teaching can enhance learners' understanding and retention of vocabulary. This paper delves into the advantages and potential issues of using pictures in vocabulary teaching. It also present specific opinions and suggestions, aiming at providing some references for international Chinese teachers in vocabulary teaching.
Impact Of Global Warming on Tropical Cyclones in The Northwest Pacific Ocean
Authors: Shi Jingtian , Zhang Tunan
Published: June 2024

Tropical cyclones are meteorological phenomena that can affect mid to low latitudes around the world. This Paper systematically summarizes and reviews the main characteristics, potential influencing factors, and influencing mechanisms of tropical cyclones in Northwestern Pacific, and summarizes and analyzes their changing trends in the context of global change. Global warming will affect the generation and development of tropical cyclones from multiple dimensions, with the most intuitive being the surface temperature of seawater. Through the analysis of global surface temperature and tropical cyclones in the Northwest Pacific, it is shown that as global climate warms, the frequency of tropical cyclones in the Northwest Pacific decreases, the extreme central pressure decreases, and the extreme maximum central wind speed increases, there is no significant trend in the average minimum pressure and average maximum wind speed of tropical cyclones. In other words, the extreme intensity of tropical cyclones strengthens; In the 2010s, this relationship was particularly prominent.
A Study of Insurance Company Underwriting Risk Based on EWM and TOPSIS Methods
Authors: Zeng Qiaozhi , Zhang Shiqi , Zheng Peng
Published: June 2024

This study proposes a risk assessment model called CPSF, which aims to assess insurance risk in areas where extreme weather is frequent. The model adopts a multidimensional and comprehensive assessment system, considering climate change, demographic and socio-economic, and financial conditions as the main factors, and constructs corresponding assessment indicators. The study establishes a scientific and reliable risk assessment system through the steps of data source, data pre-processing, indicator establishment, weight determination, and comprehensive assessment. By applying the model to two regions, namely, Southeast China and Southeast United States, where extreme weather often occurs, the insurance risk situation of these regions is analyzed and the future trend is predicted, which provides an important reference for insurance companies and policy making.