bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Financing Structure on Enterprise’ Overseas Direct Investment: A Case of A-share Listed Companies in China
Authors: Wang Jiaming
Published: September 2023

This research analyzed the impact of financing structure on enterprises' overseas direct investment and its underlying mechanisms. It reviewed relevant literature and theories, used panel data of 1,725 Chinese A-share listed companies from 2000 to 2020, and employed the debt-to-equity ratio as a measure of financing structure. The study applied the Probit model for benchmark regression and conducted robustness tests using the Logit and negative binomial panel models. Additionally, it explored the influence mechanism through factors like innovation, research and development, productivity, and performed heterogeneity analysis and endogeneity tests. (1) The financing structure had an impact on enterprises' overseas direct investment. A higher proportion of equity financing in the structure positively contributed to the initiation of overseas investment projects and led to an expansion in scale. (2) The financing structure influenced enterprises' overseas direct investment by impacting factors such as innovation, research and development, and productivity. (3) The results of analyzing industry heterogeneity indicated that the financing structure of manufacturing enterprises had a limited impact on their overseas direct investment.
Application Research of Vlog in the Field of News Media
Authors: Wu Sirui
Published: September 2023

Under the background of the rapid development of information technology, various media show a trend of mutual integration, and diversified information transmission channels effectively meet people's needs. Under the trend of media convergence, news communication business faces challenges as well as development opportunities. Therefore, it is necessary to analyze the current business situation, accelerate the application of news communication business, show its vitality again, give play to the role of news communication, and meet the public's demand for news information.
Analysis on the Path of Enterprise Human Resource Management in the New Era
Authors: Li Shaoxi
Published: September 2023

With the rapid development of social economy and the changing market environment, enterprise human resource management in the new era presents new features. Enterprise human resource management is a more critical management task in the operation and development of enterprises, which directly affects the working status of enterprise employees and the development status of enterprises. In order to better adapt to the development needs of the new era, enterprises constantly innovate management methods on the basis of doing a good job of human resource management analysis, and put forward the optimization path of enterprise human resource management in the new era.
Design and Development of a Companion Toy for Children with Autism
Authors: Zheng Jinpeng , Lu Tao , Tian Yihe , Huang Junyuan , Li Jiang
Published: September 2023

Globally, there are more than 67 million people with autism, 40% of whom are children, and the number of children with autism in China has reached more than 2 million, with a rising trend year by year. The lack of social skills is the core deficit of autistic children, which seriously affects their social development. Early intervention treatment is especially important for autistic children. With the progress of the times and the development of technology, the research on the use of modern technology for autism intervention is increasing, and based on the characteristics of autistic children's "pro-objects", more and more intelligent products play an important role in helping autistic children's rehabilitation and education. In China, there is less research on products for autistic children, especially on intelligent products, and most of the intelligent products on the market are designed abroad. Against this background, this project explores the needs of autistic children in intervention therapy by studying the social interaction ability of autistic children, exploring the design strategies related to them and practicing the design from the perspective of smart companion products guiding the social intervention of autistic children.
Influencing Factors of School Organization and Management on University Ranking
Authors: Ren Yuhao , Chen Jie
Published: September 2023

The ranking is a quantitative presentation of the indicators of each university. The ranking can be regarded as a quantitative presentation of the comprehensive strength of the university. The comprehensive strength of each university is reflected in many aspects such as teaching quality, scientific research level, teaching staff, and subject coverage. The ranking quantifies and compares these strengths through a series of indicators, such as academic reputation, paper citations, and research funding. As the core of university operation, school organization is the direct factor that directly affects undergraduate universities. At present, it is found that school organizations are facing factors such as insufficient administrative management, insufficient teaching quality, and lack of international cooperation resources. How to rectify it, this article will give rationalization suggestions.
Analysis on the Development Path of Green Logistics under the Background of "Double Carbon"
Authors: Hu Yingwei
Published: September 2023

Under the background of the establishment of the goal of "double carbon", the awareness of low-carbon environment in the whole society has been obviously improved, and green and low-carbon development has become the main goal of various industries. Taking the logistics industry as an example, it is necessary to take green logistics as the main development content under the background of "double carbon" goal, promote the green transformation of the logistics industry by reducing energy consumption and carbon emissions, and finally realize the benign and sustainable development of the industry. As far as the current situation is concerned, although the development of green logistics in China has achieved phased results, it has encountered some bottlenecks in its further development, which makes the green transformation of the logistics industry unsustainable. In view of this, this paper starts from the related overview of "double carbon" goal and green logistics, focuses on the bottlenecks encountered in the development of green logistics in China under this background, and puts forward some development countermeasures and suggestions, hoping to provide effective reference for related.
Study of Customer Service Satisfaction Survey and Influencing Factors in Hospital Health Management Centers
Authors: Zheng Xuesen
Published: September 2023

To provide a basis for improving service quality by conducting a satisfaction survey on medical checkups. Methods 160 examinees were randomly selected from the health management center of a general hospital in Baise, Guangxi, China, in May-June 2023, and the survey was conducted by distributing questionnaires (paper questionnaires and electronic questionnaires). Results 153 questionnaires were validly recovered, with a questionnaire recovery rate of 99.5%; 44.4% were male, 55.6% were female, The age group of 18-30 accounted for 49.02%, and those with a college degree or above accounted for 77.13%. The satisfaction with the physical examination environment of the health management center, the professional level of medical staff, center guidance signs, physical examination equipment, follow-up services, and appointment services has reached more than 94%. Among them, the three items of physical examination equipment, guiding signs and physical examination environment have the lowest customer satisfaction. Customers think that the waiting time for medical examination appointment is long accounting for 41.83%, and the total waiting time for medical examination is 1-2 hours accounting for 52.29%. Conclusion It is found that the hospital has problems such as poor experience of physical examination equipment, vague physical examination guidance signs, too noisy physical examination environment, and long waiting time for physical examination in the physical examination center. In response to these problems, suggestions were made to create a good physical examination environment, optimize the physical examination procedure to increase the service window, and carry out humanistic personalized and detailed services.
Research Progress on the Functions and Values of Watershed Ecosystem Services
Authors: Ma Qingchao
Published: September 2023

As a region with strong interaction between natural processes and human activities, watershed has complex ecosystem structure and diverse service types, and has the closest relationship with human production and life. Firstly, the basic concept, function and value of watershed ecosystem services were reviewed, and it was found that the theory of ecosystem services was gradually enriched. Secondly, the current research on ecosystem services not only focuses on the composite research of multiple functions, but also focuses on the change of a single function and its affected mechanism. In addition, some new models based on geographic information technology (such as InVEST model, CASA model and RUSLE model) have been introduced into the evaluation methods of ecosystem service value except the equivalent factor method.
From Consolidating Poverty Alleviation to Rural Revitalization: Paths and Strategies for the High-Quality Development of Rural Industries in My Country
Authors: Zhao Jinchen , Luo Mingling
Published: September 2023

Adhering to the priority development of agriculture and rural areas and comprehensively promoting rural revitalization have fundamental and strategic significance in advancing the coordinated development of urban and rural areas in the new era. Fengjie navel orange industry is an important pillar industry to realize the organic link from consolidating poverty alleviation achievements to rural revitalization in Fengjie County. This paper takes the navel orange industry in Fengjie County, Chongqing City as an example, and uses a research method combining quantitative and qualitative analysis to discuss the high-quality development of rural industries. The study found that the single industrial form and lack of integration are one of the main reasons for the current problems in the navel orange industry in Fengjie County. Continuously optimize navel orange varieties, protect germplasm resources, create standard planting and production demonstration areas, strengthen risk prevention and control of navel orange diseases, make full use of digital technology to strengthen publicity, strengthen deep integration of navel orange industry and local high-quality cultural tourism resources, and strengthen brand and promotion awareness etc. are the main strategies to promote the development of rural industries in Fengjie County with high quality.
The Application of Insulation and Decoration Integrated Board in The Construction of High-rise Residential Exterior Walls
Authors: Wang Yulin , Yin Jian , Yao Zhenhao
Published: September 2023

Insulation and decoration integrated board is a widely used material in the construction of high-rise residential exterior walls. This material has various advantages, including insulation, waterproofing, fire prevention, environmental protection, and other characteristics, which can improve the overall performance and energy-saving effect of buildings. In addition, the integrated insulation and decoration board has advantages such as easy installation, fast construction speed, and low maintenance costs, which can save construction time and costs. In the construction of high-rise residential exterior walls, the use of insulation and decoration integrated panels can achieve fast, efficient, and safe construction, while ensuring the appearance and decoration effect of the building. Therefore, the application of insulation and decoration integrated panels in the construction of high-rise residential exterior walls has important significance and broad development prospects.
Recent Progress on the 0D Nanomaterials in Metals for Lubrication
Authors: Zhang Honglei , Lin Haibo
Published: September 2023

Over the past two decades, metal-matrix composites reinforced with nano-materials have been extensively used in various prominent fields, such as aerospace, shipbuilding, and food machinery, etc., owing to their demonstrated good chemical, mechanical, and tribological properties. Nevertheless, understanding fundamental effects of nanomaterials in the friction and wear performances of metals has not been systematically reviewed by subdividing them from 0D dimensionality. Herein, this review summarizes the recent advances on tribological applications of 0D nanomaterials in the metals involving ferrous metals, nonferrous metals, and special metals, with the underlying friction-reducing and wear resistance mechanisms. In addition, practical application prospects, as well as future challenges and important recommendations of nanomaterials are briefly summarized, that are needed to boost the development of nano-tribology and expand the diversity of practical applications.
Study on the Propagation and Conversion of Evanescent Lamb Waves in Discontinuous Plate Structures
Authors: Liu Jintao , Gu Xin , Xu Baiqiang
Published: September 2023

In conventional Lamb wave based non-destructive testing (NDT), subwavelength imaging cannot be performed for very small damages due to diffraction limits, which may pose safety hazards to engineering structures and large equipment, and even cause major safety accidents, leading to property damage and casualties. However, in evanescent Lamb waves, there is the necessary subwavelength information that can be converted into propagable Lamb waves, which contain subwavelength damage information that can be received to form super-resolution imaging. Therefore, this article investigates the propagation and transformation characteristics of evanescent Lamb waves in a discontinuous plate structure, providing a research approach for further super-resolution imaging, which has certain scientific research and practical application value.
Research Progress on Ecological Safety Guarantee Technology for Gully Improvement in the Loess Plateau
Authors: Shen Jianglong , Ye Shenglan
Published: September 2023

Since the implementation of the project of returning farmland to forests and grasslands in the Loess Plateau area, the vegetation coverage has increased significantly, the sediment entering the yellow has been greatly reduced, and the ecological situation has been significantly improved. However, after the conversion of slope land to forest and grassland, the area of cultivated land has been greatly reduced, and the relationship between "people and food" has become tense in some places. And with the increase of rainfall in recent years, there have been ecological risks and safety hazards such as slope-vegetation system instability, slope landslides, trench filling settlements, and dam chain failures. Therefore, integrating the ditch-slope comprehensive treatment technology with the function of ecological security guarantee, and constructing the complex system of ditch-slope treatment engineering is the main path to deepen the ecological security guarantee of the ditch and slope treatment engineering, which will provide great support for ecological restoration and farmland construction. And provide technical support for increasing the area of cultivated land.
Research on the Control Method of Urban Expressway Weaving Area
Authors: Xia Huayu
Published: September 2023

With the rapid development of urban expressway construction, there are some problems in the actual operation process, which leads to the traffic efficiency not reaching the expected level. Due to the long-term and large amount of actual data is difficult to obtain, this paper uses the method of combining actual data and simulation to explore the traffic operation law of urban expressway weaving area, analyzes the factors affecting the traffic efficiency of weaving area, and applies the variable speed limit guidance control method based on DQN algorithm, which can effectively improve the traffic efficiency of urban expressway weaving area.
Design of Robot End Trajectory Tracking Controller
Authors: Gao Xuying , Liang Geng , Pei Wei , Feng Xiangyu
Published: September 2023

The most important point for the manipulator to run quickly and efficiently is that we must explore the trajectory tracking control technology, so we need to master the end trajectory operation law. This topic is mainly to analyze the structural characteristics and working principle of the manipulator, create the control law of the end node system model of the workspace, calculate the actual joint torque, and conduct Kinematics analysis of the end trajectory of the manipulator, Finally, MATLAB simulation was used to verify the designed controller. Studying trajectory tracking control technology will have a positive impact on future life and can be applied practically in production and daily life to meet the needs of modern production.
Research on Communication of PROFIBUS Single-master System
Authors: Pei Wei , Liang Geng , Gao Xuying , Feng Xiangyu
Published: September 2023

Through the understanding of PROFIBUS-DP bus protocol, this paper analyzes the communication process according to the communication principle of fieldbus, establishes a communication model of single-master system, and studies the relationship between target token cycle time, packet loss rate and number of slaves.
Antenna Directional Pattern Testing System Based on Multirotor Unmanned Aerial Vehicles
Authors: Xue Yuankui , Yu Liang , Tang Long , Chen Lin , An Junjie
Published: September 2023

Obtaining azimuth data of antennas after installation on actual platforms (such as large aircraft, ships, etc.) is crucial for effectively analyzing the platform's impact on the antennas and facilitating optimization and improvement. Traditional testing methods are unable to accurately and efficiently acquire azimuth data due to significant differences between measurements in a dark room and the actual conditions. With the rapid development of drone technology, unmanned aerial platforms have been widely utilized in various engineering fields. Utilizing the flexibility of drones in three-dimensional space and their ability to be precisely controlled through RTK technology, it is possible to use drones equipped with test antennas to measure the azimuth pattern by receiving spectrum signals transmitted by antennas on real platforms. In order to achieve precise angle control, a gimbal system is designed to control the angle of the test antenna. The effectiveness of the entire testing system is verified through experimental results.
Hierarchical Linear Model Analysis on the Factors Influencing the Fertility Desire of Childbearing-Aged People under the Background of Three-Child Policy
Authors: Zhu Chencan , Mei Yulu , Shu Hang
Published: September 2023

The survey of fertility desire is of great significance to the population prediction and the formulation of fertility policy. This paper uses Theory of Planned Behavior to determine the range of contributing factors and design an online questionnaire. It uses Hierarchical Linear Model to analyze the specific contributing factors of fertility desire of childbearing-aged people as well. The results show that under the background of the three-child policy, economic factors such as the cost of childcare and family income have a significant impact on the fertility desire of childbearing-aged people, followed by the peers’ concept on birth and the pressure from elders. Young people pay more attention to the development of personal career, and the factor of fertility policy has little impact on the fertility desire of childbearing-aged people.
Literature Review on Pre-Fracturing Reservoir Selection for Hydraulic Fracturing
Authors: Fu Yu , He Qinghui
Published: September 2023

In the context of enhancing production from tight low-permeability reservoirs, techniques such as horizontal well section fracturing, volume fracturing, and repeat fracturing have been widely applied. The pre-fracturing reservoir selection for hydraulic fracturing plays a crucial role in determining the success of the fracturing operation. Its objective is to evaluate the production potential of candidate reservoirs and select the most suitable ones for fracturing, in order to maximize the post-fracturing economic benefits. Considerable progress has been made by domestic and international researchers in the field of pre-fracturing reservoir selection, employing primarily two categories of analysis methods: conventional analysis and modern mathematical theory analysis. This paper provides a comprehensive review of relevant research literature, aiming to offer guidance for practical hydraulic fracturing operations.
An Entity based Approach for Extracting Relationship between Chinese Characters
Authors: Jie Yinggang , Huang Jiarong , Wu Yingyan
Published: September 2023

Knowledge extraction includes the extraction of entity relationships, which is crucial. Deep learning algorithms are increasingly prevalent in relation extraction tasks when compared to conventional pattern recognition techniques. The majority of current research on remotely supervised methods and kernel functions in relationship extraction strategies for Chinese language cannot disregard the detrimental effects of noisy data in the dataset on the experimental findings. A bidirectional GRU neural network, a two-layer attention mechanism, and a Chinese relationship extraction model are proposed. For the forgetfulness problem, a bidirectional GRU neural network is utilised to fuse the input vectors. Integrating the structural properties of the Mandarin language, word vectors are employed as the input. Sentence-level attention mechanisms are utilised to extract sentence features, and word-level feature information is retrieved from a sentence. About 1300 bits of data are extracted from news websites using a remotely supervised methodology for validation. According to the experimental findings, the neural network model with a two-layer attention mechanism is able to fully utilise all of the feature information in a sentence, and it performs significantly better than the neural network model without an attention mechanism in terms of accuracy and recall rates. Compared to the model without the attention mechanism, the accuracy and recall rates are noticeably greater.
Progress in Fracturing and Displacement Technology
Authors: Ning Chongru , Luo Weijiang , Zhu Pengyu , Liu Cong
Published: September 2023

This paper summarizes the exploration and development process of low-permeability tight reservoirs in major oilfields in China, and divides the development of fracturing and flooding technology of low-permeability tight reservoirs in domestic oilfields into four stages: matrix seepage and oil production, fracture matrix dynamic seepage oil production, fracture network fracturing storage and seepage oil production, and fracturing flooding oil simmering and oil production. At the same time, six aspects of fracturing and displacement technology are clarified: (1) volumetric fracturing technology; (2) Rupture pressure water injection technology; (3) Continuous large-displacement water injection technology; (4) Injection of a large amount of prepositioning technology; (5) Seepage and suction replacement technology of stewed wells; (6) Add pressure repellent technology. and a vision for the future of pressure drive technology.
Application and Optimization of Capacitive Deionization Technology in Seawater Desalination
Authors: Wang Pengyu
Published: September 2023

In this paper, the application and optimization of capacitive deionization technology in seawater desalination is studied. First, the limitations of the traditional desalination technology are reviewed, and the advantages of capacitive deionization technology are introduced. Then, the basic principles of capacitive deionization technology, including electric field effect and processes such as ion migration and charge adsorption, are introduced in detail. In terms of key components, the capacitor (electrolytic cell), electrolyte solution, power supply and control system are highlighted. Then, the optimization methods of capacitor deionization technology are discussed, including the selection and improvement of electrode materials, the optimization of electrolyte solution and the optimization of operating parameters. Finally, the optimization results and effects are analyzed, including improved removal rate and desalination effect, improved energy efficiency, increased water flux and water production capacity, extended maintenance intervals and improved stability, and improved cost effectiveness. This study has important implications for the application and optimization of capacitive deionization technology in seawater desalination.
Analysis and Recommendations for Community E-commerce Word-of-Mouth Marketing Strategies Based on Trust Theory
Authors: Li Chunli , Xia Shouhui
Published: September 2023

Based on the perspective of trust theory, this paper conducts in-depth research and analysis on the word-of-mouth marketing strategy of community e-commerce. In the course of the research, the basic concepts of trust theory and the characteristics of community e-commerce are sorted out, and the importance of word-of-mouth marketing in community e-commerce is clarified. The research results show that the success of community e-commerce word-of-mouth marketing is closely related to users' trust in the platform. Community e-commerce word-of-mouth marketing has challenges to the authenticity of word-of-mouth, the proliferation of false word-of-mouth, and the response to public opinion crises. In order to solve these problems , through the implementation of strategies such as strengthening the monitoring and management of user evaluations, establishing a true and credible word-of-mouth communication mechanism, strengthening the identification and prevention of false word-of-mouth, and establishing a crisis management mechanism to respond to public opinion crises in a timely manner, these strategies will help improve community e-commerce The effect of word-of-mouth marketing and users' trust in the platform will promote the innovation and sustainable development of the community e-commerce industry.
Research on Temperature Prediction Based on LSTM
Authors: Liu Tianci , Li Xiangjun
Published: September 2023

Temperature change has an important influence on human health and the development of all walks of life, so accurate temperature forecast is becoming more and more important. With the dramatic increase in the scale and dimension of meteorological data, it poses a new challenge to temperature prediction. In the era of big data, traditional time series forecasting methods have been difficult to deal with massive meteorological data. Temperature data is a kind of time series data with obvious non-stationary fluctuation characteristics. Modeling the temperature data can analyze the temperature change. Aiming at the problem that the prediction accuracy of time series model is not high, this paper proposes to build a temperature prediction model based on long-term and short-term memory network LSTM deep learning network, and divide the training set prediction set with Jena climate data set to evaluate the accuracy of the model. The experimental results show that the long-term memory network LSTM deep learning network performs well in the temperature prediction model.
Research on Intelligent Safety Supervision System of Chemical Industry Park Based on Neural Network
Authors: Zhang Lan , Ning Shihang , Shi Yvfeng , Dai Shuqiu , Liang Shuai
Published: September 2023

With the continuous development of society, video surveillance technology is widely used in many fields such as urban security, transportation, education safety training, and intelligent furniture. However, the traditional and backward monitoring methods can no longer meet the needs of modern urban development. In order to improve the monitoring ability of video and increase the speed of face recognition, it is particularly important to establish a smart security monitoring system based on artificial intelligence in this paper. This article uses the YOLO algorithm as the basis for neural network model building, training and prediction. A smart security monitoring system based on the chemical industry park has been designed. Through intelligent monitoring, it can effectively identify faces and analyze people's unsafe factors and behaviors to ensure the safety of people's lives and property.
Python-based Epidemic Data Visualization System
Authors: Xue Na , Yao Fan , Xie Zehao
Published: September 2023

In order for people to timely understand the relevant dynamics of the epidemic and do their own protection, the epidemic data visualization system has been developed and designed. Based on Python language and Echarts visualization technology, the obtained epidemy-related data are visually classified and displayed, so that the data is more clearly displayed in front of users, providing users with a relatively comprehensive channel to obtain epidemic information.
Research on Fault Diagnosis Method of Rotary Machinery Based on Improved Transformer
Authors: Zhi Haijie , Wang Jinkui , Zhang Haitao , Hou Yongkang , Yang Qishun
Published: September 2023

In modern industry, rotating machinery plays a crucial role. These rotating machines are not only fundamental components of power generation and propulsion systems but also key factors for their efficient operation. Harsh operating environments often lead to failures in critical components like gears and bearings in rotating machinery, which can directly result in equipment malfunction. Therefore, authentic fault diagnosis of these primary building blocks in rotating machinery is of pivotal value for improving its reliability and safety during operation. This research proposes a fault diagnosis strategy for rotating machinery rooted on time series Transformer and validates the effectiveness of the proposed approach. Firstly, a time series Transformer model is designed, which incorporates modules like time series embedding, attention mechanism, and multi-layer perceptron to promptly approach 1D oscillatory motion signal data. Subsequently, the hypothetical model is trained and tested on multiple public datasets, and its fault diagnosis results are compared with existing achievements in the literature. The proficiency of the model is thoroughly verified, and the fault diagnosis performance of this proposed approach surpasses many existing fault diagnosis methods.
Recognition and Extraction of Power Transmission Lines Based on Infrared Image Processing for Line-following Robots
Authors: Zhang Wenli , Gao Qingfeng
Published: September 2023

To further improve the real-time performance and accuracy of power transmission line maintenance, this paper primarily focuses on the preliminary line recognition and extraction method based on thermal image processing of infrared images collected by line-following robots for thermal fault detection. Firstly, filtering and noise reduction techniques along with enhanced image processing are applied to preprocess the collected infrared images. This effectively addresses the noise and interference from background objects, which can affect the extraction of overheated areas on the lines, while also reducing the computational memory required for subsequent image processing. Subsequently, an improved Canny edge detection algorithm is employed to extract the edges of foreground objects in the images. Additionally, a region-growing algorithm combined with the geometric features of the lines is employed to filter out unwanted thermal sources, enabling the accurate segmentation and extraction of power transmission lines. This forms a solid foundation for subsequent detection and identification of abnormal hotspots on the extracted lines, and holds significance for the inspection and maintenance of existing thermal faults and potential hotspots in power transmission lines.
Classroom Energy-saving Control System Design
Authors: Deng Yong , Peng Junjie
Published: September 2023

With the continuous development of science and technology, the degree of automation of various products in life is increasing. However, the impact on energy consumption and environment is getting bigger and bigger, and energy saving and emission reduction is gradually becoming a hot topic in the society. The huge loss of electrical energy in colleges and universities makes the development of energy-saving control technology particularly important. In this paper, we design an energy-saving control system for college classrooms based on STM32 main controller, which mainly collects the light intensity and personnel distribution information of classrooms through photoresistor sensors and infrared pyroelectric sensors, and combines software programming to realize effective and group control of classroom lights, so as to achieve the purpose of energy saving. On this basis, a simple upper computer monitoring interface is built to display the collected information, which facilitates real-time monitoring and management of the classroom. The system is analyzed and introduced in detail in three main aspects in the paper. Firstly, the selection of the main controller and its main hardware circuit modules are introduced; secondly, the software process design is centered around the system; finally, using simulation, analysis and online debugging, the light intensity and personnel distribution information collected can be used to control the lamps and lanterns at the corresponding locations of the personnel to turn on. In summary, this paper designs a classroom energy-saving control system to meet the current situation of large energy consumption in college classrooms, which can realize the effective lighting of the corresponding positions according to the changes of natural light environment and different positions of the personnel in the classroom, and verifies the feasibility of this scheme. It provides an idea to effectively reduce the waste of power resources and achieve the purpose of energy saving and emission reduction in colleges and universities.
Analysis of Drainage Points on Red Tourist Road of Li Dazhao's Former Residence
Authors: Ma Lijie , Zhao Xianggao
Published: September 2023

This article is located in the Tangshan Leting County second-class Highway. The total length of the designed road is about 3514 meters and the designed speed is 60 km/h. Vertical section design is to design vertical slope and vertical curve, and calculate the vertical curve elements, pay attention to the combination of horizontal and vertical design; Cross-section design is to determine the shape of cross-section, carry out super-high design and calculate earth-rock work under the condition of considering many factors. This paper analyzes the method of constant gradient arch in cross section and longitudinal section and the method of rotation around the edge of central divider, and mainly analyzes the positive significance of using these two methods to pavement drainage, as well as the impact on the road vehicle operation.
Evaluation of Influence of Nano Kaolin on Temperature Sensitivity of Asphalt Pavement Based on Analytic Hierarchy Process
Authors: Zhang Tan , Chen Hao , Zhang Hao , Peng Jiakai , Wang Xinyan
Published: September 2023

In order to further explore the five different dosage of nano kaolin sensitivity to the temperature of the modified asphalt concrete, combined with constant temperature heating heating experiment and stir yogurt machine constant temperature cooling experiment of these two kinds of innovative experiment of heat exchange data, based on the analytic hierarchy process (ahp) innovative obtains the temperature win min optimum dosage of nano kaolin, The influence of different nano-kaolin content on the temperature sensitivity of modified asphalt was evaluated as a whole. The experimental results show that when the content of nano-kaolin is 7%, the temperature sensitivity of asphalt mixture is the best at 10 different temperatures compared with the other four mixtures. With the increase of nano-kaolin content, the temperature sensitivity of asphalt mixture is first superior and then inferior.
The Foreign Talents Issue in Singapore
Authors: Yan Tinghao
Published: September 2023

This paper will analyze the foreign talent issue in Singapore from various perspectives. In the beginning, the paper will show the current Policy statements of Singapore government about the foreign talent issue. And demonstrate the advantage or potential problems of these statements. Next, base on the ethical issue to show the competition between native and foreigners, Benefits and challenges of foreign talent in Singapore A. Economic benefits and contributions B. Concerns about job displacement, wage stagnation, and social cohesion C. The debate over the impact of foreign talent on Singaporean society includes blue-and white-collar foreign employees. The paper will use consequentialisms and deontology to prove it. At last, some feasible solutions will be showed. Future outlook and challenges A. Sustainability and long-term implications of Singapore's foreign talent policy B. Balancing economic growth with social cohesion and local talent development C. The role of government, businesses, and citizens in shaping the future of Singapore's foreign talent landscape.
The Relationship between Educational Attainment, Unemployment Rate, and Income Disparity in the United States
Authors: Qin Yifei
Published: September 2023

This review examines the relationship between educational attainment, unemployment rate, and income disparity in the United States. It analyzes existing literature, theoretical frameworks, and empirical evidence to elucidate the complex interplay among these variables. By exploring the impact of educational attainment on employment opportunities and income disparities, this paper informs policymakers and practitioners about the implications of educational policies and interventions. It begins with an introduction that highlights the topic's significance and outlines the paper's structure. The definitions and conceptual framework for educational attainment, unemployment rate, and income disparity provide a foundation for the subsequent analysis. Additionally, the paper analyzes factors influencing the relationship between education, unemployment, and income disparity. It discusses the impact of socioeconomic background and access to quality education, emphasizing gender and racial/ethnic disparities in educational attainment and labor market outcomes. It explores regional and contextual variations in the relationship and investigates the effects of technological advancements on the labor market. Overall, this review synthesizes key findings, providing a comprehensive understanding of the relationship between educational attainment, unemployment rate, and income disparity in the United States. It emphasizes the implications for policy and practice, stressing the importance of targeted interventions to address the complex dynamics between education, unemployment, and income disparity. The paper concludes with recommendations for future research to enhance our understanding of these critical issues.
Problems and countermeasures of comprehensive quality evaluation of middle school students
Authors: Gao Gege
Published: September 2023

With the deepening of the new college entrance examination reform, the comprehensive quality evaluation has attracted more and more attention, and has become the focus in the eyes of students, parents, educators and related scholars. Making full use of the promotion function of comprehensive quality evaluation can promote the promotion of middle school students' ability and quality development. However, there are also some problems in the comprehensive quality evaluation of middle school students, which need to be solved. Therefore, in this paper, through the literature, the comprehensive quality evaluation, the study found that the comprehensive quality evaluation has certain problems, such as the understanding of comprehensive quality evaluation function orientation, part of the comprehensive quality evaluation index operability is not strong, the comprehensive quality evaluation play inadequate, this paper puts forward the countermeasures of comprehensive quality evaluation.
A Study on the Impact of Low Carbon Transition on Green Performance of Industrial Enterprises Quasi-natural experiments based on "low carbon city pilot"
Authors: Tang Daijun , Luo Jing , Sun Hanmei , Wu Zhixuan , Wang Lu
Published: September 2023

The current environmental situation in China is severe, low-carbon transformation is imminent, and the government implements the low-carbon city pilot policy to promote greening of economic and social development. To further improve this environmental policy, a multi-period double difference model is used to investigate in depth the impact of the low-carbon city pilot policy on the green performance of enterprises based on panel data of industrial listed enterprises in China from 2010-2021, using the implementation of the low-carbon city pilot policy as a quasi-natural experiment. It is found that the low-carbon city pilot policy significantly reduces the green performance of industrial firms within the pilot city, and the propensity score matching-double difference (PSM-DID) model estimation results are consistent with the findings of the multi-period DID model, and the above results are robust. In view of this, the government should control the intensity and manner of policy implementation, and implement the low-carbon city pilot policy in a gradual and localized manner.
Revitalizing Rural China: Research on The Development Status and Communication Strategy of Geographical Indication Brands with A Case Study of Jingyang Fu Tea
Authors: Ji Yuxuan
Published: September 2023

Geographical indications of agricultural products are legal signs used to identify distinctive agricultural products from specific regions, with the product’s name being linked to its geographical origins. Since 2008, China has been managing the geographical indications of agricultural products, turning ordinary crops such as fruits and vegetables into geographical indication brands. This management approach not only promotes rural economic development but also accelerates rural industry development. This research aims to analyze factors that limit agricultural product development and present a communication strategy using the case of Jingyang Fu Tea to explore how to promote the long-term development of the tea industry in the specific context of China’s rural revitalization.
Behind the dinner table
Authors: Tang Nessa
Published: September 2023

Judy Chicago is defined by the art world as the founder of the concept of "feminist art." Her creations revolve around patterns with metaphorical and symbolic colors, such as "reproductive organs," "flowers," and "butterflies." In the 1970s, feminist artists began to contemplate using the female body as a subject of creation, using artistic language to advocate for the political metaphor of female reproductive organs as an independent center of discourse apart from male-centered phallic symbolism. This body art unleashes the freedom and nature that feminist artists have long been suppressed by patriarchal society. Against this backdrop, Judy Chicago created "The Dinner Party."
An Evaluation Plan for Assessing the Utilization of Wikis as Collaborative Writing Tools
Authors: Miao Jingjing
Published: September 2023

This study aims to assess students' collaborative writing activities using Wiki as a tool, building upon the research conducted by Hadjerrouit. An optimized experimental plan was designed to enhance the research approach. The enhancements involved expanding the experimental sample size, implementing a control group, incorporating self-assessment links, and utilizing binary response formats. Prior to commencing the experiment, all participants underwent rigorous training and testing to mitigate potential confounding factors. Subsequently, the acquired experimental data was analyzed using the same methodology as Hadjerrouit to derive conclusive findings. Nevertheless, it is crucial to acknowledge that the outcomes may be influenced by participants' learning abilities and the duration of the experiment, despite the ideal nature of the experimental plan.
A Study on the Optimisation of the Rule of Law Path for Digital Government
Authors: Wang Sijie , Liu Yan , Zhu Jiamin
Published: September 2023

Digital government is a new governance model in which the government uses digital technology to improve administrative efficiency, carry out organizational changes and operational mechanism innovation, and modernize its governance capacity. As reform enters deeper waters, the administrative risks associated with the use of digital technology are in urgent need of legal regulation. By analysing the mismatch of government organisation, the security of government data and the stormy dilemma of public opinion monitoring, this paper attempts to propose a rule of law optimisation path for the synergy of government organisation, lean decision-making and scientific supervision of the whole process, in order to improve the construction of the rule of law in digital government, optimise administrative procedures in accordance with the law, clarify the boundaries of administrative power, and build a digital government system framework that is compatible with the modernisation of the national governance system and governance capacity. The workshop will provide advice and suggestions on the framework of digital government system that is compatible with the modernization of national governance system and capacity.
Exploring the Characteristics of the Musical Composition of Guangxi's Modern Piano Work "The Dance of the Bronze Drumn"
Authors: Lin Jiajia , Rattanachaiwong Nataporn , Li Jing
Published: September 2023

"The Dance of the Bronze Drumn" is a piano work with Guangxi's national characteristics. The composer, Wu Liyun, is a teacher of the Composition Department of Guangxi Arts University. This work combines the ethnic characteristics of Guangxi Dong tones and modern compositional techniques, fully utilizes modern non-harmonic phonemes in the form of different rhythms and speeds, so that the piano timbre presents the image of different brass drums. This paper discusses the musical creation characteristics of the work as well as the piano playing techniques by analyzing the musical characteristics, compositional techniques and musical structure of the work.
Research on Multivariable Fuzzy Dynamic Matrix Control Algorithm
Authors: Tang Mingming , Gan Shuchuan
Published: September 2023

To improve the control quality of distillation tower systems that suffer from issues such as coupling, delay, and nonlinearity, traditional control methods have been ineffective. Consequently, this paper proposes using a variable-domain fuzzy dynamic matrix control algorithm for control system optimization. The traditional dynamic matrix control algorithm is augmented with a fuzzy controller, which is utilized to compensate for predicted output. The concept of variable domain is introduced to address the problems of poor adaptive ability and low control accuracy in the Fuzzy-DMC algorithm. Scaling factors are designed to adjust the fuzzy domain, enabling the fuzzy controller to compensate for predicted output even in the event of a significant model mismatch, resulting in improved control performance. The experimental results indicate that the algorithm proposed in this paper is superior to both traditional DMC and Fuzzy-DMC algorithms in terms of rise time, overshoot, and steady-state rate. In addition, this algorithm possesses a simple structure and does not modify the conventional DMC algorithm structure, making it theoretically applicable in practice.