bluuebunny/crossref_metadata_2025 huggingface dataset:
Adjustment and Application of Well Test Interpretation in The Development of W-zone of Ji Plateau Oilfield
Authors: Nan Yajun , Xu Huarui , Li Huiyang
Published: April 2024

Oilfield development well test is an important means to correctly understand the reservoir and improve the recovery rate, which is of great significance in slowing down the decreasing production of the oilfield and formulating an effective development plan. [1] Jiyuan oilfield W area of ultra-low permeability reservoir production accounted for a large proportion of the (52.1%), After the reservoir enters into the middle water content period, the contradiction of water-driven development is highlighted, and the difficulty of effective and stable production is increased, in order to achieve the whole process management of the development of the research area, and to enhance and improve the effect of reservoir development, By analyzing the test well interpretation results in the past three years and classifying the test well curves statistically with the actual field conditions, the test well interpretation model is optimized; at the same time, the multi-interpretation of the test well interpretation results is systematically analyzed, the causes of multi-interpretation are analyzed, and the test well interpretation model suitable for the ultra-low permeability reservoir is preferred, and ultimately, in conjunction with the history of the development of the reservoir, the dynamics of the reservoir is combined with the data from the secondary interpretation of the test wells to deepen the understanding of the dynamics of the reservoir. [2].
Enhancing Heliostat Field Performance: A Comprehensive Study on Optical Efficiency and Annual Thermal Power
Authors: Wang Kunzheng , Liu Yao , Qin Haolin
Published: April 2024

The many advantages of solar photovoltaic technology make it bound to be commercially competitive in the coming years, and its development is strategically important. The parameters of the heliostat field, including the positional coordinates of the absorber tower, the size and mounting height of the heliostat mirrors, as well as the number and position of the heliostat mirrors, are designed according to the requirement of the rated annual average thermal power output of 60 MW so that the heliostat field will have the largest possible annual average thermal power output per unit of mirror area under the condition of reaching the rated power. Larger sizes and higher mounting heights of heliostats help to capture more solar energy and thus increase the annual average output thermal power per mirror area. The efficiency and output thermal power of heliostats of different sizes and mounting heights are evaluated by simulating the numerical calculation method and the best combination is found.
FDI Spillover Effects, Indigenous Innovation Capability, and Regional Industrial Structure Adjustment
Authors: Sun Dong
Published: April 2024

This article, based on the perspective of regional economics, utilizes data from the Beijing-Tianjin-Hebei urban agglomeration from 2013 to 2021. It establishes a dynamic panel model and introduces interaction terms between FDI spillover effects and indigenous innovation capability. Through empirical analysis, it examines the impacts of FDI spillover effects, indigenous innovation capability, and their interaction on the industrial structure of the Beijing-Tianjin-Hebei region.The research findings indicate that after introducing the interaction term,FDI promotes the enhancement of indigenous innovation capability, thereby optimizing the industrial structure with a noticeable synergistic effect. Therefore, leveraging the synergistic effect of FDI and indigenous innovation on the optimization and upgrading of the industrial structure is of significant importance for the high-quality development of the Beijing-Tianjin-Hebei urban agglomeration.
Application and Development of Artificial Intelligence Risk Control in Internet Finance
Authors: Tao Centong , Liu Yinqi
Published: April 2024

With the rapid development of Internet finance, traditional risk control methods can no longer meet the current needs. As a new technical means, artificial intelligence risk control has become an important development direction in the field of Internet finance by predicting and managing financial risks more accurately through big data analysis, machine learning, and other technologies. This paper will discuss the application significance, challenges, and development strategies of artificial intelligence risk control in the field of Internet finance, to provide a reference for the risk management of Internet finance.
Promote or Inhibit: CEO Career Concerns and Enterprise Digital Transformation
Authors: Lu Weicong
Published: April 2024

The digital transformation of Chinese enterprises is imperative, and digital transformation is a typical long-cycle strategic decision, so it is necessary to analyze the motivation of digital transformation from the perspective of time, especially career. However, there is little research to discuss the impact of key role CEOs on digital transformation based on their career tradeoffs. Therefore, this paper chooses manufacturing enterprises as research samples to study the relationship between CEO career concerns and enterprise digital transformation. This paper finds that there is an inverted U-shaped nonlinear relationship between CEO's career concerns and enterprise digital transformation; Within a certain range, CEO career concerns positively promotes digital transformation, but after a certain threshold, it inhibits digital transformation. This inverted U-shaped relationship is weakened by the increasing power intensity of the CEO and the short-sightedness of management. This paper describes the role of CEO in the digital process from the perspective of career concern, expands the antecedents of digital transformation, and provides some implications for enterprises to promote digital transformation.
Enhancing Logistics Efficiency through Computer and Network Technologies: A Pathway to Industry Informatization
Authors: Glick Jennifer
Published: April 2024

The rapid development of computer and network technology provides a solid foundation for the informatization of logistics industry. Through INTERNET, logistics branches, suppliers, customers, etc. scattered in different geographical locations are connected to form an information network for information transmission and sharing, so that all parties can understand the operation of businesses in different places in real time and improve the operation efficiency of logistics activities. Based on the broad prospects of computers in the logistics industry, this paper conducts in-depth research on logistics modernization and logistics informatization, the impact of computer technology on the logistics industry, and the countermeasures to accelerate logistics industry informatization.
Methods and Practices in C Language Teaching
Authors: Gu Liangliang
Published: April 2024

The C language holds significance as a pivotal programming language with wide-ranging applications. This paper delves into the methodologies and practical approaches employed in teaching C language as a programming tool. Through an examination of student learning requirements, comparison of various teaching methodologies, and analysis of practical cases, this paper delineates the pivotal factors contributing to success in C language instruction. By devising tailored pedagogical plans and integrating programming exercises into real-world projects, student proficiency in programming can be enhanced, resulting in favorable educational outcomes.
Evaluation and Innovation of Methods for Measuring the Development Level of Urban Digital Economy
Authors: Liu Jiaqi
Published: April 2024

With the continuous development of Internet technology, the digital economy has become a new engine of contemporary economic development. In particular, on March 12, 2021, China released the "14th Five Year Plan" and the Outline of Vision Goals for 2035, clearly proposing to "create new advantages of the digital economy". Based on this background, this article first analyzes and evaluates the mainstream methods for measuring the development level of the digital economy in China and foreign countries. It is found that the current measurement methods and indicator selection vary greatly, and the accuracy and credibility of the measurement are questionable. Therefore, this article proposes to use Data Envelopment Analysis (DEA) method to measure the level of digital economy development in Chinese cities, and elaborates on its rationality.
Professional Identity and Leadership Capabilities of College Physical Education Teachers
Authors: Li Xuemin
Published: April 2024

The purpose of this study is to explore the professional identity and leadership of college physical education teachers in Shandong Province. It provides the research basis for improving the professional identity of PE teachers, improving their leadership, promoting the training of talents in colleges and universities, and strengthening the construction of teachers. This study adopts the methods of quantitative research design, questionnaire survey and random sampling, and selects 205 physical education teachers from 5 colleges and universities in Shandong Province as the investigation objects. The survey found that given the respondents' profile, they are capable of developing a professional identity with teacher leadership. Respondents have failed their teaching careers in different ways than others. Given effective interventions, respondents can further strengthen their professional identity. The influence of personal experience on the level of professional identity is the least. Respondents were fully engaged in teacher leadership, but there was still a large gap. Given effective intervention, they can further improve their leadership ability. Educational background is one of the factors affecting teachers' leadership ability. Teacher professional identity and teacher leadership can develop simultaneously. Teacher development provides opportunities and interventions that may produce optimal results.
Bearing Fault Diagnosis Based on VMD-WPT-ViT for Wind Turbine
Authors: Zhen Hao , Wang Shaoting , Han Longfeng , Liu Min
Published: April 2024

As an important part of wind turbine, the fault diagnosis of rolling bearings is helpful to maintain the stable operation of the fan. However, most of the existing fault diagnosis methods focus on one-dimensional time series data, which is not only difficult to extract multi-level feature information, but also fails to consider the noise problem in the signal. Therefore, to solve the above problems, a noise reduction algorithm combining variational mode decomposition (VMD) and wavelet packet threshold noise reduction (WPT) is proposed, and Vision-Transformer (ViT) model is combined to realize the fault diagnosis of rolling bearings of wind turbines. VMD is used to decompose the original signal and find out the noisy component. WPT is used to de-noise the component, and the de-noised component and other components are reconstructed to form a pure signal and converted into a two-dimensional image. Finally, a diagnostic model is built based on Vision-transformer. The experimental results show that the proposed method can effectively improve the diagnostic accuracy by extracting the advanced global features of the signal.
Talking About the Development Prospect of Senior Smart Home
Authors: Yu Junhao , Zhang Ziheng
Published: April 2024

This paper discusses in detail the growth trend of China's elderly population and the challenges posed by aging to society.It points out the shortcomings of current senior smart home products, especially in meeting the specific needs of the elderly. The current situation of the development of senior smart home is analysed, highlighting the needs in terms of safety monitoring, health management, life convenience and social interaction. At the same time, the future development prospects of senior smart homes are envisioned, highlighting the importance of the deep integration of Internet technology, humanised design, safety, security and environmental adaptability, as well as social interaction and entertainment. Overall, the article concludes that the senior smart home market has a broad development prospect, and with the advancement of technology and the continuous improvement of design, it enables the elderly to enjoy the convenience brought by technology without restriction.
Research on the Governance of County "Stall Economy" In the Post Epidemic Era
Authors: Kou Zongren
Published: April 2024

Affected by the prolonged impact of the new crown epidemic, the domestic economy is under tremendous downward pressure, the employment situation is becoming more and more serious, the increase and creation of jobs need to resort to the established model, on which to help improve people's livelihoods, effectively increase incomes, and safeguard the basic requirements of life. The stall economy can alleviate employment pressure to a certain extent in the post epidemic era. In the majority of grassroots areas, the "stall economy" has a broader space for activities, but at the same time will give the grassroots areas within the limited number of managers to bring the corresponding burden, the contradiction between the two need to re-examine and think again, through the G County stall economic governance of the status of the field survey found that the G County stall economic governance Through a field survey of the economic governance of street stalls in County G, it was found that there were problems such as the lack of significant policy effects, the absence of citizen self-organization, and the inadequacy of the coordination mechanism between the government and the citizen self-organization, etc. We analyzed the situation from the perspective of multiple subjective dimensions, and searched for effective measures that could help normalize the "street stalls" of the ordinary residents of County G, and achieve the coordination of the goals of individual freedom of operation and order management.
Study on the Impact of Main Functional Zoning Policies on the Economic Conversion Efficiency of Forest Ecological Capital in Hunan Province
Authors: Zheng Shujin
Published: April 2024

In 2010, China promulgated the National Main Functional Area Planning (2010), marking the first national level of the national land space planning policy, the space planning is of great significance for optimizing the development model of forest ecosystems, improving the value transformation of forest ecological products, and is an important policy goal for the sustainable development of forest ecological resources. This paper analyzes the development status of the main functional zoning policy, and establishes a DID model to empirically analyze the implementation effect of the main functional zoning policy. The results show that the policy of main functional zoning will inhibit the increase of the economic conversion efficiency of forest ecological capital, and the policy effect is significant.
A Method for Privacy-Safe Synthetic Health Data
Authors: Luo Xiaohui
Published: April 2024

Private health records are important for medical research but hard to get because of legal rules. This shortage of data can be solved by using generative models like GANs, which make new, similar data. But GANs might leak private information. To fix this, we made a new kind of GAN with a privacy protection part called DP-ACTGAN. It uses differential privacy to keep the original data safe. We also put a classifier in the GAN to make sure the new data is very close to the real data. Experiments show that DP-ACTGAN can make good quality data without giving away private information. This means we can use data well without breaking privacy, which is good for ethical research and making new things while keeping privacy.
Improving the Construction of Public Cultural Service System and Enhancing the Service Ability of Public Libraries to Vulnerable Groups
Authors: Ma Mingmin
Published: April 2024

In the process of speeding up the construction of the public cultural service system in all respects, how to better conduct public cultural services for the vulnerable groups, provide knowledge help and service are the bounden duties of every public library, but also the best embodiment of the equalization and standardization of the construction of the public cultural service system. The formation of a fully covered public library service network must be accelerated, the talent incentive mechanism is innovated, the service supply and demand expression mechanism is built and improved, and the participation of social forces is actively introduced to enhance the service ability of public libraries for all levels of society.
STARA Awareness: Work Stressors in the Age of Industry 4.0
Authors: Jiang Ping
Published: April 2024

STARA awareness characterizes employees' perception of the extent to which the use of emerging information technologies such as STARA (Smart Technology, Artificial Intelligence, Robotics, and Algorithms) in the workplace affects their personal career development in the context of the Fourth Industrial Revolution. On the basis of combing domestic and international literature, scholars systematically organize the concept of STARA awareness, measurement scales, and elaborate the current research status of antecedent and outcome studies as well as mediating and moderating mechanisms of STARA awareness. Finally, we further prospect the future research direction of STARA awareness. Future research should further explore the specific factors that influence the emergence of STARA awareness and expand the mediating mechanisms and outcome effects of STARA awareness.
Rumor Detection with A Novel Graph Neural Network Approach
Authors: Liu Tianrui , Cai Qi , Xu Changxin , Hong Bo , Ni Fanghao , Qiao Yuxin , Yang Tsungwei
Published: April 2024

The wide spread of rumors[3] on social media has caused a negative impact on people's daily life, leading to potential panic, fear and mental health problems for the public.[47] How to debunk rumors as early as possible remains a challenging problem. Existing studies mainly leverage information propagation structure to detect rumors[6], while very few works focus on correlation among users that they may coordinate to spread rumors in order to gain a large popularity. In this paper, we propose a new detection model, that jointly learns both the representations of user correlation and information propagation to detect rumors on social media. Specifically, we leverage graph neural networks to learn the representations of user correlation from a bipartite graph[5] that describes the correlations between users and source tweets[12], and the representations of information propagation with a tree structure. Then we combine the learned representations from these two modules to classify the rumors. Since malicious users intend to subvert our model after deployment, we further develop a greedy attack scheme to analyze the cost of three adversarial attacks: graph attack, comment attack and joint attack. Evaluation results on two public datasets illustrate that the proposed MODEL outperforms the state-of-the-art rumor detection models. We also demonstrate our method performs well for early rumor detection.[8] Moreover, the proposed detection method is more robust to adversarial attacks compared to the best existing method. Importantly, we show that it requires high cost for attackers to subvert user correlation pattern, demonstrating the importance of considering user correlation for rumor detection.
RMB Internationalization: Exploring Trends and Implications
Authors: Zhao Yifei
Published: April 2024

The aim of this paper is to provide a comprehensive analysis of the historical evolution of the internationalisation process of the RMB and to assess its current status in the global economy. At the same time, in light of the evolution of the current international monetary system, especially the key stages of the gold standard, the Bretton Woods system and the Jamaican system, it provides an in-depth exploration of the challenges of the times, such as exchange rate stabilisation and de-dollarisation, faced by the internationalisation of the RMB. The article focuses on the ten milestones of RMB internationalisation, detailing the collaborative efforts and achievements of East Asian economic powers such as ASEAN, China, Japan, and South Korea in promoting the internationalisation of the RMB. These achievements reflect the positive response to external economic developments and highlight the growing importance of the RMB in the international monetary system. The article analyses the positive role of the Belt and Road Initiative in promoting the internationalisation of the RMB. It has facilitated international economic exchanges and cooperation by simplifying the financing process. The article also provides an in-depth analysis of the many factors affecting RMB depreciation, such as trade wars. It reveals the wide-ranging impacts of these factors on various sectors, especially Chinese exporters. Based on this, the article emphasises the significance of preserving the stability of the RMB exchange rate as a crucial factor to be fully considered while advancing the internationalisation of the RMB. Lastly, the article proposes several constructive suggestions to further promote the internationalisation of the RMB, which offer valuable references for the future development of the international monetary system.
Research on the Purchase Intention of Intangible Cultural Heritage Creative Products based on Tourist Perceived Value
Authors: Su Tian , Binti Albakry Nur Safinas , Mat Salleh Nor Syazwani binti
Published: April 2024

This study aims to explore in depth the purchasing intentions of tourists towards creative products of intangible cultural heritage, aiming to reveal the level of recognition and importance that tourists place on the intangible value carried by intangible cultural heritage during the purchasing process. By using a questionnaire survey, a total of 500 valid samples of tourists from different backgrounds and experiences were collected, allowing for a more comprehensive understanding of their purchasing preferences and decision-making factors. The statistical analysis and discussion of data reveal a series of factors that affect tourist purchase intention. Firstly, uniqueness is an important influencing factor, and tourists tend to purchase products with unique cultural characteristics and historical significance because these products can arouse their interest and sense of identity. Secondly, the expression of cultural symbols also has a significant impact on purchase intention. Tourists are more willing to purchase products that reflect local culture and traditions, as these products not only have aesthetic value but also convey deep cultural connotations. In addition, emotional identification is also one of the important factors affecting purchase intention. Tourists tend to purchase products that can evoke emotional resonance and identification, as these products can stimulate their emotional experiences and memories. Finally, although price factors also have a certain impact on purchase intention, they are not decisive factors. Tourists are more willing to pay reasonable prices for products with rich cultural connotations and emotional experiences. Overall, this study reveals that tourists pay more attention to the cultural connotations, emotional experiences, and emotional identity of intangible cultural heritage creative products when purchasing them, rather than simple material attributes. This provides important references for relevant enterprises and organizations to better understand the needs and preferences of tourists, thereby developing more attractive and competitive intangible cultural heritage creative products.
Research on Common Diseases and Construction Treatment Technologies in Road and Bridge Engineering
Authors: Yang Wanting , Ma Lijie
Published: April 2024

Road and bridges are the most basic transportation infrastructure. Its construction quality and use of safety are directly related to the lives of the people and the stability of society. In the process of construction and use, road and bridge projects often face challenges of multiple diseases. Such as uneven settlement, steel bar corrosion and breakage, and cracks. These diseases not only affect the safety and stability of roads and bridges, but also threaten people's driving safety and smooth traffic. This article mainly analyzes the common disease problems in road and bridge projects and propose reasonable measures in a targeted manner, aiming to improve the quality of roads and bridges and reduce the chance of the diseases of roads and bridges.
The Mechanism of Digital Economy in Promoting the Transformation and Upgrading of China’s Manufacturing Industry
Authors: Sun Yihua
Published: April 2024

The era of China's digital economy has arrived, Chinese government is actively exploring how to use the technological changes brought about by the digital economy to promote China's economic development in the next 30 years. As the pillar industry of China's economy, manufacturing has maintained rapid growth in the past 30 years and has made great contributions to China's economic development. However, there are also many challenges at present, such as,China's manufacturing industry is at the low end of the global industrial chain, and the added value is very low; Backward technology and poor competitiveness in the international market. In this context, this paper analyzes the impact of the digital economy on the transformation and upgrading of the manufacturing industry from a qualitative perspective ,attempts to explore the way how China's manufacturing industry can use digital technology to achieve intelligent transformation, value chain upgrading, and industrial structure upgrading, so as to achieve comprehensive transformation and upgrading , in the end, gain long-term development momentum.
Towards the end of the Literature Honeymoon: The Late 50s of the 20th Century Literary Relations between China and the Soviet Union
Authors: Zhang Xianjun
Published: April 2024

In the 1950s, before the Sino-Soviet relations became hostile and the literary relations between the two countries entered a frozen period, the literary relations between China and the Soviet Union corresponded to the same period at the beginning of the founding of New China, wholesale Soviet union, the theory and the creation followed the Soviet union overall, developed to the late 50s of the 20th century, the Sino-Soviet literary relations dislocated, cooling gradually. What kind changes have taken place at this period, what are the underlying causes? Whether it is right or wrong needs to be discussed from the perspectives of ideology, the situation policy and power relations.
Effects of Different Passivating Agents on Cd Pollution in Alkaline Farmland Soil
Authors: Li Yujie
Published: April 2024

In this study, cadmium-polluted farmland in the southern suburbs of Jiaozuo, Henan Province was selected as the research object. Under the field conditions, two passivating agents such as aluminosilicate and calcium-aluminum hydrotalcite were added respectively, and the cadmium form content was analyzed by BCR extraction method. The passivating effect of different passivating agents on soil cadmium in alkaline farmland in northern China was studied under the application rate of 200 and 400kg/mu. The results showed that silicoaluminate and calcium-aluminum hydrotalcite reduced soil pH value in different degrees, but had little effect on soil pH value. The two passivating agents can convert the soluble Cd of weak acid to the residual Cd, and the transformation effect is more significant with the increase of the applied amount. The passivation effect is ranked as calcium aluminum hydrotalcite > silicaluminate, among which 400 kg/mu of calcium aluminum hydrotalcite has the most obvious passivation effect, and the effective content of Cd is reduced by 70.5% compared with group CK. In general, after the application of two passivators and different amounts, the soluble Cd content of weak acid in soil decreased significantly, the reducible Cd content decreased slightly, the oxidizable Cd content increased slightly, and the residual Cd content increased significantly.
The Way Forward for Online Public Opinion Governance in the Age of Big Data
Authors: Ma Hongqing
Published: April 2024

With the rapid development of big data technology and the popularization of Internet applications, the role of Internet public opinion in social governance has become increasingly prominent. Internet public opinion not only reflects hot issues of social concern and public sentiment, but also affects social stability and national security. Therefore, strengthening the rule of law governance of online public opinion has become an urgent problem. The purpose of this study is to explore the rule of law basis and major problems of online public opinion governance in the era of big data, to analyses the shortcomings of the current implementation of the rule of law in online public opinion, and to propose corresponding countermeasures. In the context of the big data era, the rule of law in online public opinion governance faces challenges in many aspects. Inadequate supervision, imperfect rule of law system, deficiencies in the implementation mechanism, and weak public awareness of the rule of law together constitute the main problems in the current governance of online public opinion. To effectively deal with these problems, it is necessary to start with strengthening supervision, improving the rule of law system, reinforcing the implementation mechanism and raising awareness of the rule of law. Through these measures, a more mature and effective rule of law system for the governance of online public opinion can be constructed, thereby safeguarding the healthy development of the online information environment and maintaining social harmony and stability.
Research Status and Development Trend of Household Gas Stoves
Authors: Li Wei , Lai Depeng , Mou Lei , Zhou Xianchen , Yuan Kunyang
Published: April 2024

With the increasing global demand for pollution-free cooking energy, the development of efficient and clean domestic gas stoves has been promoted. This article first provides a comprehensive overview of the thermal performance and pollutant emissions of household gas stoves through stove protocols, and organizes relevant design and development literature to gain a deeper understanding of their current development status; Secondly, the impact of natural gas, thermal performance, emission performance, and control systems on energy conservation and emission reduction of household gas stoves was analyzed one by one; Finally, the trend of intelligent development of domestic gas stoves in China was discussed. In summary, this study can provide useful references for the design and theoretical research of domestic gas stoves in China.
Study on the Relationship between ESG Performance and Corporate Performance in the Context of Dual Carbon - Based on the Perspective of Corporate Innovation
Authors: Quan Jiahui
Published: April 2024

The relationship between environmental, social and governance (ESG) performance and corporate performance has received increasing attention under the dual-carbon goal. Taking corporate innovation capability as the analyzing perspective, this study explores the interaction mechanism between ESG performance, corporate innovation capability and corporate performance. By analyzing the data of listed companies in Shanghai and Shenzhen in the past ten years, this paper empirically examines the direct impact of ESG performance on corporate performance and the indirect impact through corporate innovation capability by using multiple regression model and mediation effect model. It is found that good ESG performance not only directly promotes corporate performance, but also indirectly improves corporate performance through enhancing corporate innovation capability. This finding demonstrates the importance of optimizing ESG performance and enhancing corporate innovation capacity to promote high-quality corporate development in a dual-carbon context. This study provides theoretical basis and practical guidance for enterprises to realize win-win situation of economic benefits and social responsibility while pursuing sustainable development.
Case Study of Financial Situation Based on Harvard Analysis Framework
Authors: Yang Chengzong , Yang Liu
Published: April 2024

The pharmaceutical industry, as an industry closely related to public health, also plays a huge role in promoting the development of China's economy and is a major part of China's economy. This paper adopts the Harvard analysis framework, comprehensively uses the strategic analysis, accounting analysis, financial analysis and other relevant theories, and analyzes the current situation of Huadong Medicine Co., Ltd., and puts forward a series of suggestions and measures. This paper elaborated the company profile, strategy analysis, accounting analysis, financial analysis and prospect analysis of Huadong Medicine Co., Ltd., and pointed out the problems faced by Huadong Medicine Co., Ltd., such as lack of strategic development analysis, single financing channel, unclear cost accounting, etc. This paper puts forward a series of solutions and suggestions, such as timely adjustment of strategy development, broadening financing methods and financing channels, improving cost accounting level and adopting various strategies to improve enterprise development ability. The whole article aims to provide all-round support and guidance for the development of Huadong Medicine Co., Ltd., with high practical and theoretical value.
Reform and Ideological Practice of Operations Research Course in Management and Engineering with The Integration of CDIO and PYTHON
Authors: Fang Xin , Hu Jinhong
Published: April 2024

It is pointed out in the National Education Conference and the National Conference on Ideological and Political Work in Colleges and Universities that colleges and universities should apply for ideological-political courses throughout the whole process of higher education, which provides incentives for deepening the reform and ideological-political practice of management engineering and operations research courses. Based on the integration of the CDIO teaching concept and Python and the immersive teaching process of the operations research course, this paper designs the teaching reform and practice of student-oriented management engineering and operations research course, which leads students to realize the algorithm design, program implementation, and visualization of operations research modeling and machine learning step by step. On this basis, based on the inventory management and its expansion model in operational research, taking grain supply chain management as the case object, this paper explores the strategic deployment of the CPC Central Committee and the state to realize the dynamic balance of grain supply and demand at a high level and deal with the uncertainty of the external environment with the security and stability of grain supply,  from the perspective of variable cost, supply capacity, consumption demand, holding cost and shortage cost in the model. The research results are conducive to strengthening students' problem analysis and modeling ability, programming, and in-depth analysis, and have theoretical and practical value.
Morisot and Cassatt the Exploration of Female Identity in the 19th Century
Authors: Chang Yujie
Published: April 2024

This paper explores the limitations of church and social influence on women in Europe prior to the 19th century. The author argues that the decline of the domestic economy in the mid-18th century made domestic work more associated with women, leaving most women unable to pursue elite professions such as music, dance, and art. During this period, influenced by the patriarchal social concept, most women did not have the opportunity to pursue these industries, but spent a lot of time and energy in the family, becoming slaves to the family and children. However, the birth of Impressionism reduced the constraints and restrictions of the academic art style and promoted the rise of female artists in the 19th century. This paper will compare the themes, perspectives and self-cognition of the two artists, Berrit Morisot and Mary Cassatt, to show that under the influence of Enlightenment thought, the two artists integrated female identity and family into their painting career, but expressed their different identities.
The Factors Affecting the Purchase Intention of Household Electrical Appliances (Home Appliances) That Are Good for Consumers’ Health in Chongqing City.
Authors: Duong Thi Minh Tan
Published: April 2024

The objective of this study is to explore and examine the impact of these factors on the Purchase intention of household electrical appliances through the mediating role of Attitude. Survey data were collected from 329 consumers in Chongqing City. Results from the Partial Least Squares Structural Equation Modeling (SEM) using the Amos 20 program showed that Health concern, Environmental concern, Attitude, Perceived behavioral control, and Trust affect directly to purchasing intention of consumers. Results from the Process Macro using the SPSS 25 program have also identified the mediating role of Consumers’Attitudes in the relationship between Health Concern and Environmental Concern to Consumer’s Purchase intention. Finally, several suggested governance implications will assist manufacturers and marketers in developing targeted customer- focused strategies.
Exploring Competitive Dynamics, Technological Innovations, and Sustainable Strategies for X Plant-Based Meat Health Technology Co., Ltd.
Authors: Rui Qu , Jirapong Ruanggoon  , Nitidetch Koohathongsumrit
Published: April 2024

The research objectives were as follows: 1) to analyze the competitive environment of X Plant-Based Meat Health Technology Co., Ltd.; 2) to determine the technologies and innovation capabilities of X Plant-Based Meat Health Technology Co., Ltd.; and 3) to formulate sustainable strategies for X Plant-Based Meat Health Technology Co., Ltd. This research adopted qualitative research and document study. Twelve key informants, including top-level management, product development teams, head of marketing departments, and consumer groups within the company, were involved. The data analyzed the current market competition status of X Plant-Based Meat Technology Co., Ltd. using PEST, Porter’s Five Forces, and SWOT models, thus proposing sustainable development strategies. The research findings revealed that: 1) X Plant-Based Meat Health Technology Co., Ltd. operated in a competitive market driven by government initiatives and increasing environmental awareness. Challenges included intensified competition and price sensitivity. However, the company had opportunities for growth in China's expanding plant-based food sector. Success depended on strategic differentiation, technological innovation, and adaptability to evolving market trends amidst competition from diverse players; 2) X Plant-Based Meat Health Technology Co., Ltd. excelled in technology and innovation, operating eight cutting-edge soybean processing facilities and maintaining extensive non-GMO soybean fields. With over 250 patents, it was a global leader, prioritizing environmental sustainability and quality control. Its integrated supply chain, diverse product portfolio, and strategic partnerships contributed to its ongoing success and growth; and 3) X Plant-Based Meat Health Technology Co., Ltd. pursued a comprehensive strategy for sustainable growth in a competitive market. Key elements included niche market penetration, organizational excellence, channel expansion, production capacity enhancement, technical expertise development, and market protection through innovation. These strategies aimed to position the company for long-term success in the plant-based food industry.
Research on the Deblurring Algorithm for High Frame Rate Cameras
Authors: Wang Yi
Published: April 2024

With the rapid development of technology, high frame rate cameras have been widely used in various fields. However, due to the characteristics of high frame rate cameras, the corresponding deblur algorithm has become the focus of this research. This paper aims to propose an efficient and accurate idea to improve the imaging quality and application performance of high frame rate cameras. However, the current idea still has some limitations, and it is hoped that future studies can realize the algorithm optimization and improve the practicality and performance of the algorithm to provide better support for the application of high frame rate cameras.
Research on Channel Encroachment Strategy and Contract Design of Manufacturers Based on Live Broadcast
Authors: Mo Qiong
Published: April 2024

This article constructs supply chain models after the manufacturer's live streaming channel encroachment. Through demand function models and Stackelberg game theory, the optimal decisions of each member in the supply chain are solved using reverse induction method. The impact of various parameters on invasion strategies such as quality investment, channel pricing, and profits of all parties is analyzed. The results indicate that when consumers have a high level of preference for the sales channels opened by manufacturers, manufacturers can gain higher profits by inviting internet celebrities to live stream and promote sales through channel encroachment. When the potential demand scale of manufacturers is low and the proportion of anchor sharing is higher, manufacturers should reduce quality costs by lowering the level of quality investment. When the potential demand scale of manufacturers is high, they should reduce product returns by increasing the quality investment level and incentivize broadcasters by raising live broadcast prices.
Study on Distribution Path Planning of Electric Logistics Vehicles Under Partial Charging Strategy
Authors: Lu Jinfeng
Published: April 2024

The current situation of energy consumption and environmental pollution is becoming more and more serious, electric vehicles have gradually become an important distribution tool for logistics companies due to their advantages of low energy consumption and low pollution, however, the problems of limited battery capacity and long charging time are still the main obstacles to their effective promotion in the field of logistics and distribution. In order to improve the utilization rate of electric logistics vehicles, the charging method of the vehicle is studied in detail, and it is proposed to use partial charging strategy to optimize the distribution path scheme of electric logistics vehicles with soft time window, and to establish an optimization model with the goal of minimizing the total cost of distribution, and at the same time, consider the constraints of the vehicle's loading, the customer's soft time window, and the battery endurance; the genetic algorithm is improved by using the idea of destruction and repair in the large neighborhood search algorithm, and the problem is solving, and verify the effectiveness of the model and algorithm using the Solomon arithmetic set; and conduct a sensitivity analysis of the distribution cost by adjusting 2 parameters, the battery capacity and charging price of the electric vehicle. The results show that the partial charging strategy can effectively reduce the cost compared with the full charging strategy in the distribution activities of electric logistics vehicles. In the example, the total cost is reduced by 7.69%, the electricity cost is reduced by 8.85%, and the total distance is shortened by 7.4%. In this case, the total cost, electricity cost and time window cost increased by 6.22%, 19.83% and 6.83% respectively. At the same time, some charging strategies can also significantly improve the power utilization rate of the vehicle battery, and reduce the idle and waste of vehicle resources and power resources. This paper proposes a distribution route optimization model of electric logistics vehicles under the partial charging strategy, which can provide beneficial enlightenment for logistics enterprises in the scheme scheduling and distribution model selection in urban distribution, and is of great significance for reducing the distribution cost of logistics enterprises.
Current Situation Analysis of Low-carbon Community Based on BIM Technology and Related Problem Solving Measures
Authors: Wen Chang , Li Yang , Cao Yeqi , Si Chengchuan , Xu Baozhuang , Qin Haoxin
Published: April 2024

In the low-carbon construction target system, low-carbon buildings play a crucial role in achieving the goal of reducing carbon emissions. As China's urbanization development continues to deepen, communities have become the primary living environment for both urban and rural residents. Consequently, research on building carbon emissions has shifted from individual buildings to encompassing low-carbon community building facilities. Against the backdrop of digital intelligence and new quality productivity development, promoting the use of Building Information Modeling (BIM) technology for low-carbon transformation in community buildings can effectively contribute to China's low-carbon goals. The utilization of BIM technology enhances planning and construction efficiency across various types of communities while minimizing rework and energy consumption. Furthermore, applying BIM technology to equipment and materials management enables better control over carbon emissions during building operation and maintenance stages, thereby fostering harmonious development between urban energy consumption and the community’s ecological environment.
OpenCV-based Lane Line Detection Method for Mountain Curves
Authors: Wang Weinuo
Published: April 2024

In this paper, a new method based on the OpenCV computer vision library is proposed and used for the detection of mountain bike lane lines. Firstly, a series of pre-processing, HLS color filtering, grayscale map conversion, etc. are performed on the images captured by the on-board camera. Next, the lane line image is processed by Gaussian blur noise reduction, Canney edge detection and other techniques. Then, after masking for the region of interest, the lane lines are fitted after applying the Hough transform to obtain a lane line image that can be used for detection. Finally, to enhance the visual effect, the fitted lane line image is filled and displayed superimposed with the original image. The experimental results show that the proposed method has high detection accuracy and efficiency in general mountain road scenarios, and it plays a certain role in assisting the driver to drive.
The Impact of International Financial Regulation on Financial Management of Chinese Enterprises
Authors: Li Wenyang , Ding Haoyan
Published: April 2024

With the globalization of financial markets, international financial regulation has become increasingly crucial in shaping the financial landscape of countries worldwide. This paper explores the influence of international financial regulation on the financial management of Chinese enterprises. By examining the regulatory frameworks, compliance requirements, and their effects on financial practices, this study aims to provide insights into how Chinese financial enterprises navigate through the complex regulatory environment. Through a comprehensive analysis of case studies and empirical data, this paper sheds light on the challenges and opportunities presented by international financial regulation for Chinese financial entities, and suggests strategies for effective financial management in this context.