bluuebunny/crossref_metadata_2025 huggingface dataset:
Bottle Printing Defect Detection Based on CUDA Accelerated Hybrid Image Registration
Authors: Gao Liang , Liao Yinghua , Si Xingyao , Luo Qinpeng , Zhang Jiajun , Wang Lang
Published: December 2024

Objective: in order to detect the printing defects of the legal text of aluminum cans and beer bottles, the difference method after image registration based on difference model is used. Aiming at the problems of insufficient accuracy and slow speed of text image registration, a method of accelerating mixed image registration based on CUDA is proposed. Methods: firstly, rough registration based on speeded-up robust features was used to make the detected image basically coincide with the template image; Secondly, the local deformation fine-tuning based on demons elastic registration algorithm is used to improve the registration accuracy; In order to improve the speed of registration, NVIDIA CUDA architecture is used to accelerate and optimize the algorithm in parallel to complete the registration quickly. The improved hybrid registration method can quickly and accurately complete the registration with the template image. After the differential processing, the artifacts are eliminated by threshold segmentation and morphological corrosion expansion processing to complete the defect detection. Results: the experimental results show that the registration accuracy of this method has been significantly improved, and the CUDA acceleration can achieve about 24 times of the acceleration ratio, which greatly shortens the registration time and meets certain detection requirements. Through the detection of 63 defect samples, the success rate is 98.41%. Conclusion: the hybrid registration scheme proposed in this paper can accurately and efficiently complete the bottle label text registration, and realize the defect detection task, which provides an effective solution for the printing defect detection of the legal text of aluminum cans and beer bottles.
Evaluating the Extent to Which the Colors Used in the Illustrations in Children's Picture Books Have a Positive Effect on the Intellectual Development of Young Children
Authors: Song Shangyu
Published: December 2024

Children's picture books have become the first choice for reading books because young children cannot understand anything too complicated. A picture book is a book that closely interweaves images, illustrations, colors, and text to tell a story about a specific theme. This paper will demonstrate the positive effects of bright colors used in picture book illustrations on young children's color perception and language organization skills, and demonstrate that these positive effects lead to differences in color preferences and effects between 7–9-year-old boys and girls when viewing colors in picture book illustrations.
The Impact of Artificial Intelligence's Automatic Targeting on Traditional Online Games Cheating
Authors: Hu Yixuan
Published: December 2024

With the continuous enhancement of people's spiritual pursuits, multiplayer online games have become a popular trend, encompassing both multiplayer cooperative and competitive games. In multiplayer competitive games, skill disparities among players can lead to unfair competition, prompting some players to resort to cheating for an advantage. Traditional cheating methods, such as memory injection to modify game data, while effective, are easily detectable. In recent years, with the rapid development of Artificial Intelligence (AI) technology, AI-based image recognition cheating software has emerged as a new trend. This software analyzes game screens to identify enemy positions and simulates human operations for automatic aiming, making it difficult for anti-cheating systems to detect. However, AI cheating software has high hardware requirements and is affected by game environments, such as smoke grenades and walls, which can limit its effectiveness. This study aims to explore the advantages and limitations of AI image recognition cheating software compared to traditional memory injection cheating software, analyze the extent of players' use of AI cheating software, and discuss strategies for game companies to combat such cheating behaviors. The research finds that AI cheating software offers superior concealment compared to traditional methods but comes with higher costs and usage barriers. Game companies can employ various measures to prevent cheating, including uploading files to servers for detection, monitoring background software, and using AI to detect abnormal mouse movements. Furthermore, the power of the gaming community should not be overlooked, as player supervision and reporting can effectively reduce cheating behaviors.
Cluster Analysis of Restaurant Evaluation Features Based on UGC Data
Authors: Hu Mengen
Published: December 2024

With the advent of the big data era, analyzing using User Generated Content (UGC) data has become popular research. Most of the current research is to use UGC data to analyze user preferences or to analyze the influence of UGC data on other users. This paper, however, is based on the perspective of merchants, using UGC data to analyze the advantageous features of merchants that are recognized by users, and to help merchants improve their brand image. In this paper, the original UGC data is preprocessed through Chinese word segmentation, de-duplication and other techniques to generate a review UGC corpus, and then the Word to Vector (word2vec) model is used to train the UGC corpus to obtain the word vectors, and then the words are clustered into word clusters according to the word vectors, and a number of representative words are picked out from each word cluster to generate a thesaurus of restaurant evaluation features. In this paper, 34 restaurant evaluation keywords are finally extracted and labelled as a total of 14 categories of restaurant evaluation features.
Local Government Debt and Managerial Incentives: Evidence from China
Authors: Song Zirui
Published: December 2024

This study investigates the impact of local government debt on managerial incentives. The results show a significant negative relationship between local government debt and managerial incentives. The effect is more pronounced for equity-based incentives in non-state-owned enterprises and for salary-based incentives in state-owned enterprises. Furthermore, we address potential endogeneity concerns by employing an instrumental variable (IV) approach. Our findings underscore the need for adaptive compensation strategies to mitigate the risks associated with fiscal pressures.
The Correlation Between the Price of Gold and Monetary Policy: A Case Study of The Chinese Market
Authors: Zhong Jinyu
Published: December 2024

Currently, the global economy is confronted with an unstable situation, and due to gold's characteristics as a risk hedge, the gold market has once again garnered significant attention. Many investors are shifting their focus towards gold, particularly in China where it has sparked a gold rush. This study aims to evaluate the relationship between Chinese gold prices, net funding amount, securities amount, money supply, policy interest rates, and exchange rates. By examining the connection between gold and monetary policy, this paper explores the actual role of gold in China's economic landscape. Monthly data from January 2008 to December 2023 were utilized for VAR model analysis. These indicators' channels are interconnected and theoretically impact the country's monetary policy. The conclusion suggests that lowering monetary policy rates in response to easing measures can potentially stimulate inflation and consequently influence upward pressure on the price of gold. Additionally, securities amount negatively affects the price of gold as increasing it serves as China's strategy for curbing inflationary pressures which prevents driving up the price of gold through inflation alone. Other monetary policy indicators also indirectly or directly relate to changes in inflation with potential implications for fluctuations in gold prices. Through these conclusions drawn from our analysis, this research contributes twofold: firstly, by analyzing how changes in monetary policy affect China using its example; and secondly by establishing links between monetary policy decisions and their impact on variations in gold prices. These findings hold relevance for policymakers within central banks or financial institutions alike as well as academia and industry professionals involved with precious metals.
Analysis of Flexible Financial Management of Innovative Enterprises under the Background of Environmental Uncertainty
Authors: Wang Yixuan
Published: December 2024

Financial flexibility means that enterprises can offset their business risks through scientific fund management when facing the impact of uncertain risks. In recent years, due to the uncertainty of the external macro environment, international trade conflicts and corporate financing constraints, it is more difficult for enterprises to obtain resources from the outside, which puts higher requirements on the daily financial management of enterprises. More and more enterprises realize that cash flow plays an important role in mitigating risks and maintaining operation, which requires active financial flexible management. By combing the relevant literature at home and abroad, this paper systematically analyzes the concept and composition of the flexible financial management of enterprises, describes the existing problems in the flexible management of innovative enterprises, and puts forward the corresponding solutions.
Research on the Existing Problems and Countermeasures of Chinese Film Derivatives Industry
Authors: He Yushu
Published: December 2024

Film derivatives, which is, products developed by using film elements and film culture. The box office revenue of American movies only accounts for less than 30% of the whole industry, and the remaining 70% are derivative industries. In China, the market development of film derivatives is still in its infancy and has great potential. By comparing and analyzing the present situation of film derivatives industry in China and the United States, this paper finds some problems existing in China's derivatives industry by using data analysis and specific case analysis, and thus puts forward some development strategies of domestic film derivatives market.
A study on the Impact of Tesla’s Autonomous Driving Technology on Its Performance
Authors: Zhang Rui , Ding Xilu
Published: December 2024

With the rapid development of the automobile industry, autonomous driving technology has become an important research and development direction for major automobile manufacturers. As a leader in electric vehicles and autonomous driving technology, Tesla's development of autonomous driving technology has had a significant impact on the company's performance. This article explores the strategic significance and competitive advantages of autonomous driving technology to Tesla by analyzing the development history of Tesla's autonomous driving technology, its technical characteristics and its impact on the company's performance.
Leaders’ After-hours Electronic Communication Expectations and Employees’ Knowledge Management
Authors: Li Runyao
Published: December 2024

Actively meeting the expectations of leaders to be “in touch” and “responsive” during off-hours is a new type of workplace survival rule for employees in the era of the digital economy. The study explores the “double-edged sword” effect of leaders’ after-hours electronic communication expectations (AECE) on subordinates’ knowledge management behaviors and the boundary conditions based on affective event theory from the view of emotions. This exploration utilizes both an experimental study and a multi-time point field study. The results indicate that for employees with a high level of perspective-taking competence, AECE stimulates deep acting, consequently enhancing employees’ knowledge-sharing behaviors. Conversely, for employee with low perspective-taking competence, AECE triggers surface acting, leading to an increase in knowledge-hiding behaviors. The findings provide a more comprehensive explanation of the differential impact of AECE on subordinates’ knowledge management behaviors, which enriches the existing literature on AECE, extends the application of affective event theory in the context of enterprises’ digital transformation, and provides insights for organizations to effectively implement and manage AECE in the evolving landscape of workplace dynamics, often referred to as the “new normal”.
Research on the Influence Mechanism of dual-credit Policy on Green Innovation Level of Automobile Enterprises: Moderating Effect Based on Internationalization Depth and Internationalization Breadth
Authors: Ning Jinzi , Tao Fanqian
Published: December 2024

The “dual-credit” policy is a key strategy implemented by the state to promote green mobility, aiming to encourage automakers to make progress in fuel efficiency and new energy technologies through quantitative management of corporate average fuel consumption points and new energy vehicle points. In this paper, we take Chinese listed automobile enterprises as the experimental group, and match the control group from non-automobile enterprises by propensity score matching method, and use double-difference model to test the incentive effect of the dual-credit policy on the improvement of green innovation level of automobile enterprises. The study finds that the “dual-credit” policy significantly improves the green innovation level of automobile enterprises; the internationalization depth and internationalization breadth of enterprises negatively and positively regulate the incentive effect of the “dual-credit” policy on the improvement of the green innovation level of automobile enterprises, respectively; and the analysis of heterogeneity shows that the “dual-credit” policy has a significant impact on the improvement of the green innovation level of automobile enterprises. “Heterogeneity analysis shows that the dual-credit policy has a more significant positive effect on SOEs than on non-SOEs. Based on the empirical analysis of the policy, targeted suggestions for policy improvement are made.
Analysis of the Competitiveness of China-Thailand Tourism Service Trade
Authors: Huang Zena
Published: December 2024

This paper aims to conduct an in-depth analysis of the competitiveness of China-Thailand tourism service trade and explore the potential impact of visa exemption policies on the tourism service trade between the two countries. Through quantitative analysis methods, including Revealed Comparative Advantage (RCA), Trade Competitiveness Index (TC), and International Market Share (IMS), the study finds that Thailand has a significant international competitive advantage in the field of tourism service trade, while China is relatively at a competitive disadvantage. The paper further discusses the opportunities and challenges brought by visa exemption policies, pointing out issues such as self-media information dissemination, market openness, environmental sustainability, and service quality, and puts forward corresponding countermeasures and suggestions. Finally, the paper proposes future research directions, emphasizing the necessity of optimizing tourism service trade strategies in the context of globalization.
Analysis of the Evolutionary Game of Key Participants' Behavior in the New Energy Vehicle Market
Authors: Wu Hongyue , Huang Baichong
Published: December 2024

This study aims to explore the strategic choices and evolutionary patterns of consumers, enterprises, and governments at different stages of the market development for NEVs (NEVs) by constructing an evolutionary game model involving these three key players. The goal is to provide a theoretical basis and policy recommendations for the healthy development of the NEV market. To address these issues, this research constructs a tripartite evolutionary game model to analyze the behavioral strategies and evolutionary patterns of governments, enterprises, and consumers in the NEV market. Firstly, it is assumed that there is information asymmetry among the three participants in the NEV market, and that all are bounded rationality groups. The participants' strategic choices will gradually evolve toward the optimal strategy. Based on this, a game model of the three participants—enterprises, consumers, and governments—was constructed, and different market environments were set to simulate the utility and dynamic changes of each participant under different strategies. The results show that in the initial stage, strong government incentive policies can effectively promote the initial development of the market, despite the low acceptance of NEVs by enterprises and consumers. In the development stage, with continuous policy support and the gradual maturation of the market environment, enterprises begin to shift towards NEV production, although consumer acceptance of NEVs still needs improvement. In the mature stage, with the maturity of product technology and the improvement of the market ecosystem, the behaviors of consumers and enterprises become stable, and the NEV market gradually enters a period of steady growth. Through this research, we hope to reveal the mechanism of government policy on market development, identify the optimal incentive measures, improve enterprises' technological innovation capabilities, and enhance consumers' purchase confidence, thereby jointly promoting the healthy and sustainable development of the NEV market. With concerted efforts, the NEV market can play a greater role in the construction of a green economy, achieving a win-win situation for both economic and environmental benefits.
Is Influencer Marketing Really a Lifesaver?
Authors: Kong Hongqian
Published: December 2024

In the digital age, influencer marketing has become one of the key strategies for branding. This essay explores the effectiveness of influencer marketing and its application in different market environments. Through a literature review and case studies, we find that influencer marketing has significant advantages in increasing brand awareness, driving sales and enhancing consumer loyalty. However, its effectiveness depends on a number of factors, including the credibility of the influencer, the engagement of fans, and the fit between the brand and the influencer. Despite the many potential benefits of influencer marketing, brands need to carefully select the right influencers and develop a clear strategy to maximize their ROI. This article summarizes current trends and future research directions in influencer marketing to help companies make better use of this marketing tool.
Research on the Application Scenarios of Central Bank Digital Currency
Authors: Liu Yilu
Published: December 2024

Central Bank Digital Currency (CBDC), as a new form of legal tender, has attracted widespread attention worldwide. From the theoretical and empirical perspectives, this paper systematically analyzes the potential of CBDC in different application scenarios, its implementation effects and the challenges it faces, and puts forward corresponding suggestions. It is found that CBDC has a wide range of application prospects in the fields of cross-border payment, real-time payment, offline payment, securities settlement, etc., but it also faces challenges in technical implementation, legal regulation, privacy protection and financial stability.
Study on Shorting Mechanism to Promote the Construction of Internal Control System of Listed Companies
Authors: Chen Xinxin
Published: December 2024

In order to explore the promotion effect of shorting mechanism on the internal control of listed companies, this paper takes Muddy Waters' shorting of Huishan Dairy as an entry point to explore the internal control deficiencies faced by Huishan Dairy in the event. The analysis shows that the enterprise has problems such as fragile control environment, imperfect risk assessment system, poor implementation of control activities and lack of internal supervision. In response to these problems, this paper puts forward a series of optimization strategies and recommendations, aiming to provide valuable reference and reference for enterprises in the same industry to strengthen the construction of internal control, and help enterprises to build a more solid management cornerstone.
Research on Working Capital Management Performance of Wuliangye under the Dual Perspective of "Factor + Channel"
Authors: Li Keting , Zeng Xiangfeng
Published: December 2024

As the most liquid asset of an enterprise, working capital runs through the daily production and operation of the enterprise's various capital flows, and sufficient working capital is an indispensable condition for the enterprise to carry out production and operation activities. The traditional working capital management performance is to analyse each "factor", only focusing on inventory, accounts receivable and other single items for consideration, but ignoring the overall relevance and coordination of working capital. The enterprise's working capital is divided into different channels for analysis, can be the enterprise procurement, production and sales as a value chain, for each channel of working capital input and recovery efficiency analysis, so that the working capital management more to meet the value of the enterprise's pursuit of the goal.
Impact of Income Levels and Residential Concerns among China's Migrating Population
Authors: Li Kexuan
Published: December 2024

This paper utilizes data from the China Migrant Dynamic Survey (CMDS) to empirically analyze the relationship between the income level of migrants in their destination cities and their attention to changes in their place of residence. The regression results of the logit model indicate that an increase in income level significantly enhances individuals' attention to changes in their place of residence. This paper also employs robustness checks and heterogeneity analysis, and the conclusions are consistent with the baseline regression results, supporting the hypothesis that income level has a positive impact on attention to place of residence. The paper also uses entropy balancing matching methods to address potential endogeneity issues that may affect the robustness of the conclusions, reducing the impact of sample selection bias, two-way causality, and omitted variables, thereby enhancing the robustness of the analysis results and the accuracy of causal inference. Heterogeneity analysis results show that the impact of income on different groups is significantly different. Particularly, high-income males, individuals with low education levels, and those with agricultural household registrations are more sensitive to changes in their place of residence, indicating that these groups have higher adaptation needs and attention when facing urban changes.
Machine Learning Enterprise Financial Intelligent Risk Control System Based on New Database
Authors: Guo Hongyi , Liu Yanjun , Hu Ludong , Zhang Xuanbo
Published: December 2024

This article concentrates on the field of financial investment service technology and presents an intelligent enterprise financial risk control system based on the Milvus vector database with big data and machine learning. It employs algorithms such as random forest, Euclidean distance, and cosine similarity. Through a series of operations including meticulously designing the risk assessment system and developing the risk prediction system, it is committed to accurately analyzing and predicting risk situations such as cancellation or revocation that enterprises may face. This provides strong support for enterprise risk management and control, helps enterprises achieve sustainable development in the complex and changeable market environment, enhances enterprise stability and competitiveness, and strengthens the enterprise's ability to deal with risks, enabling them to make more effective strategic decisions and ensure long-term stability.
Research on the Mechanism of Digital Inclusive Finance to Promote Rural Industrial Integration
Authors: Jiang Kai , Zhang Ping
Published: December 2024

The development of digital inclusive finance is of great significance in easing financial exclusion in China's rural areas and promoting rural revitalization, while an important means of rural revitalization is rural industrial integration. Studying the relationship between digital inclusive finance and rural industrial integration is of great significance in accelerating the construction of agricultural and rural modernization. This paper utilizes the panel data of 30 provinces in China from 2012 to 2022,adopts the entropy value method to calculate the degree of rural industrial integration, and establishes the two-way fixed effect model, the moderating effect model, and the panel threshold model to explore the impact of digital inclusive finance on rural industrial integration and the mechanism of the role of the digital financial inclusion, and the results show that:(1)digital inclusive finance promotes the development of rural industrial integration.(2)The improvement of rural transaction efficiency, the degree of traditional financial competition and agricultural labor productivity enhances the promotion of digital inclusive finance on rural industrial integration. Then corresponding policy advice is given based on the conclusions.
Financial Risk Comparison Between New Energy Vehicle Enterprises
Authors: Lin Xuan
Published: December 2024

This article provides an in-depth analysis of the development of the new energy vehicle industry, particularly the competitive position of BYD and Tesla (China) in the global new energy vehicle market. The article begins by introducing the rapid development of the new energy vehicle industry, followed by an examination of the financial performance and risk management strategies of BYD and Tesla, as well as their strategies and recommendations for addressing industry challenges. Through comparative analysis, the article aims to reveal the trends in the new energy vehicle industry and the financial strategies that companies should adopt to achieve long-term stable growth.
The Live Broadcast Business Model of Cross-Border E-Commerce
Authors: Zhao Xinran
Published: December 2024

With the development of Internet e-commerce, the global economic and business landscape has undergone profound changes. This article will understand the market innovation and expansion and supply chain optimization through the business model of e-commerce live broadcasting. As more and more individuals, enterprises, institutions and even people from all walks of life join the trend of live broadcasting, they try to carry out diversified activities such as product display, promotion, knowledge sharing, talent show and public welfare activities through live broadcasting platforms. With the help of real-time online interactive communication and intuitive and vivid picture presentation, it has attracted and maintained the attention and participation of a large number of users. In this work, with the rapid development of e-commerce industry and the wide application of new technologies such as 5G and VR/AR, live events have evolved from a single information dissemination channel to a diversified form of interaction covering entertainment, shopping, education, business and other fields.
Impacts of the U.S.-China Trade War on Lithium-ion Battery Supply Chains: A Network Analysis Approach
Authors: Yang Yuanhao
Published: December 2024

Lithium is a critical strategic resource essential for electric vehicles and lithium-ion batteries, both of which play pivotal roles in the transition to renewable energy. This study examines the global lithium supply chain, analyzing four representative products—lithium carbonate, lithium hydroxide, lithium-ion batteries, and electric vehicles—across the upstream, midstream, and downstream sectors from 2012 to 2023. Utilizing complex network theory, the research explores the structural characteristics and dynamic evolution of global trade networks before and after the U.S.-China trade war. The findings reveal that the lithium supply chain exhibits strong small-world characteristics, with high clustering coefficients and relatively short path lengths across all stages. Differences in trade network patterns were observed between products: lithium hydroxide shows more regional concentration, while electric vehicles demonstrate a more globalized trade network. These insights offer important implications for understanding supply chain resilience and vulnerability in the face of geopolitical conflict.
Reform and Practice of Engineering Mechanics Courses in the Electrical Engineering Major in the Context of Engineering Education Accreditation
Authors: Li Wenyong
Published: December 2024

With the gradual promotion of Engineering Education Accreditation, the reform of the "Engineering Mechanics" course in the electrical engineering major is particularly urgent. Based on the background of Engineering Education Accreditation, this paper discusses the importance of the "Engineering Mechanics" course in the electrical engineering major, analyzes the shortcomings of the course setting and the new requirements brought by Engineering Education Accreditation, and proposes four main ideas for curriculum reform: strengthening the combination of theory and practice, dynamically updating course content, optimizing the school-enterprise cooperation model and establishing a diversified evaluation mechanism. Through the analysis of specific teaching cases, the effectiveness of these reform measures is verified, and corresponding response strategies are provided for the challenges that may be faced during the implementation process to ensure the effectiveness and sustainability of teaching reform. Finally, looking to the future, the importance of continuously promoting curriculum reform is emphasized to cultivate high-quality engineering talents that better meet the needs of the industry.
Safety Management of Ultra-high Voltage Substation Equipment Operation
Authors: Liu Jinghui , Zhu Guangze , Xia Tuo , Xu Zhen
Published: December 2024

Ultra-high voltage substation plays an important role in the modern power system. It is the transmission hub of power, connecting large power plants and end users. With the continuous expansion of power grid scale and the improvement of voltage level, the safety management of ultra-high voltage substation equipment operation is particularly important. Based from the characteristics of ultra-high voltage substation, this paper will systematically study and discuss the key links of equipment operation safety management, in order to provide useful reference for improving the safe and stable operation level of China's power system.
A Review of Multi-Port DC-DC Converter Research
Authors: He Caiyi
Published: December 2024

In modern power electronics and energy management systems, multi-port DC-DC converters are of excellent research significance as they can meet the demands of multiple energy inputs and multiple load outputs in complex systems. With the increasing complexity of energy systems, traditional single-port and bi-directional DC-DC converters make it challenging to meet these demands, so it has become necessary to develop multi-port DC-DC converters for efficient and flexible energy management. The direction of this research mainly reviews the research background and current status of multi-port DC-DC converters, discusses their applications in renewable energy systems, hybrid vehicles, and microgrids, and proposes future research directions.
Fuel Cell Electric Vehicle Technology
Authors: Wei Junyan
Published: December 2024

Nowadays, the level of science and technology is developing rapidly, and there are more and more ways for people to choose to travel. Under the environment of people's increasing pursuit of environmental protection and sustainable development, the development of the electric vehicle industry has attracted much attention, which contains fuel cell electric vehicles. Fuel cell electric vehicles, as one of the many types of electric vehicles, are special in that chemical energy is converted into electrical energy through the reaction of hydrogen and oxygen, and then the electrical energy is converted into mechanical energy through the drive system. This paper describes the types of fuel cell electric vehicles, introduces the working principle and basic mechanism in detail, and explores the development prospects of the related industry and the basic problems faced by it through the study of its core technology, so as to provide some references for the development of new energy automobile related industries.
New Energy Electric Vehicle Wireless Charging Technology
Authors: Zhu Jiye
Published: December 2024

With the global attention to renewable energy and environmental protection, new energy Electric Vehicles (EVs), as a green travel mode, are gradually becoming the development trend of the future automotive industry. However, problems such as inadequate charging infrastructure and long charging times limit the popularity of electric vehicles. The emergence of wireless charging technology provides a new way to solve these problems. This paper aims to discuss the principle, application status, advantages, challenges and future development trend of wireless charging technology for new energy electric vehicles.
A Review of Autonomous Decision-making by UAVs
Authors: Wang Zhongchi
Published: December 2024

Drone autonomous decision-making technology is a key component of the UAV system, which aims to enable UAVs to autonomously complete tasks in complex and dynamic environments, reducing human intervention. This paper reviews the current status and development of autonomous decision-making technology of UAVs, mainly covering key technologies such as perception and environmental modeling, path planning and navigation, decision-making and control, and multi-UAV systems. This paper also explores the application scenarios of autonomous decision-making technology for drones in military and civilian fields, such as reconnaissance and surveillance, logistics and distribution, agricultural monitoring, and disaster relief. In view of the challenges faced by the current technology, such as computing resources, environmental complexity, security and privacy protection, this paper proposes possible solutions and research directions.
Design of a Water Heater Heating System Based on Industrial Control Configuration Software WinCC
Authors: Yu Sicheng
Published: December 2024

The report presents the design and implementation of a water heater control system utilizing SIMATIC WinCC configuration software. The research highlights the transition from traditional manual control methods to automated systems, demonstrating significant improvements in efficiency, user convenience, and energy conservation. By leveraging the advanced capabilities of WinCC, the system effectively monitors and controls water levels and temperatures, integrating real-time data processing with a user-friendly interface. The project showcases enhanced operational efficiency, safety, and environmental sustainability, emphasizing the critical role of technological advancements in industrial automation.
Influence of Cooling Rate on Crack Growth and Stress Distribution in Die Steel under Thermal Cycles
Authors: Yao Lei
Published: December 2024

Die casting molds are prone to thermal fatigue under high-temperature and high-pressure cycles, which significantly affects their service life. In this study, a three-dimensional numerical simulation method is employed to analyze the temperature field, stress field, and crack development process of the mold under different cooling cycles. The results show that shorter cooling cycles (15s, 30s) lead to larger temperature gradients and stress concentrations within the mold, thereby accelerating crack initiation and propagation. In contrast, longer cooling cycles (70s) help to reduce the temperature gradient and stress fluctuations, which in turn slows down crack propagation and effectively extends the mold's service life.
Photobiomodulation Impact on Tooth Movement and Orthodontic Treatment
Authors: Meng Fei
Published: December 2024

Photobiomodulation (PBM), a therapeutic modality utilizing low-intensity light in the visible and near-infrared spectrums, has garnered significant attention in the field of dentistry, particularly in the context of orthodontic treatment. This study delves into the mechanisms by which PBM influences tooth movement, examines its efficacy in accelerating orthodontic procedures, and discusses potential clinical implications. By analyzing recent advancements and research findings, we aim to provide an in-depth understanding of PBM' s role in enhancing patient outcomes and treatment experiences.
Medical Mindfulness Intervention Program: Pathway to Enhancing Mindfulness, Self-Management Efficacy, and Quality of Life of Breast Cancer Patients
Authors: Han Yuanyuan , Agunod Cyrelle D.
Published: December 2024

This study evaluates the effectiveness of a mindfulness-based nursing intervention in enhancing mindfulness, self-management efficacy, and quality of life in breast cancer patients. Using a randomized controlled trial design, 80 participants were divided into intervention (n=40) and control (n=40) groups. The intervention group participated in an 8-week mindfulness program, while the control group received standard care. Results demonstrated significant improvements in mindfulness, self-management efficacy, and quality of life in the intervention group. This suggests that mindfulness training could serve as a valuable supportive therapy for promoting psychological well-being in breast cancer patients.
Exploring the Experience and Insights of Chinese Registered Nurses on Alternative Medicine
Authors: Chen Hui
Published: December 2024

This study explores the perceptions and experiences of Chinese registered nurses regarding the clinical use of alternative medicine. The research focuses on nurses from various departments and roles, including specialist nurses, clinical nurses, and nursing management personnel. Through interviews, participants share their experiences, challenges, and views on alternative medicine in their daily work. The data collected will be analyzed using the Collaizi method. The study identifies four main themes: the development of alternative medicine in China, the challenges faced by nurses, how they overcome these challenges, and their predictions for the future of alternative medicine in the country. Key findings highlight the emotional impact of work changes, the difficulties encountered in the nursing profession, and nurses’ resilience. Lastly, participants offer insights into the future of alternative medical practices in China.
New Techniques for Prevention and Treatment of Oral Bacterial Diseases
Authors: Zhang Jin
Published: December 2024

Oral bacterial diseases include caries, periodontal disease, gingivitis, and oral cancer, and they are usually associated with an imbalance in the regulation of the oral microbiota. In the prevention and treatment of oral bacterial diseases, in addition to good oral hygiene habits and traditional treatments, studies have shown that a variety of emerging technologies, such as gingival mesenchymal stem cells (GMSCs), novel nanomaterial-based antibacterial photodynamic therapies, fluorescence molecular imaging, programmed death receptor ligand-1 positron emission tomography (PD-L1 PET), and so on, have shown high efficacy in the treatment of oral and bacterial diseases. Bacterial diseases have demonstrated high efficiency, safety, and personalized therapeutic effects. However, there are limitations such as the lack of large-scale clinical trials for many of these technologies.
The Application of Warm Acupuncture and Moxibustion and Midnight Noon Ebb Flow in the Diarra Dominant Irritable Bow Syndrome
Authors: Xu Xujie , Lv Shihan , Liu Mingxing , Huang Tingnan , Wang Wenli
Published: December 2024

This study aims to evaluate the efficacy and safety of warming acupuncture combined with the Ziwu Liuzhu method in D-IBS treatment and to investigate its potential mechanisms, including regulating gastrointestinal motility, neuro-immune networks, and gut microbiota balance. Methods: A randomized controlled trial was conducted with D-IBS patients who met diagnostic criteria, divided into three groups: warming acupuncture group, combined Ziwu Liuzhu and warming acupuncture group, and control group. The warming acupuncture group received warm needle stimulation at specific acupoints, while the combined group received treatments at specific times on Spleen and Stomach meridians according to the Ziwu Liuzhu method. Treatment outcomes were assessed using IBS symptom severity scores, quality of life scores, inflammatory marker analysis, and gut microbiota profiling. Results: The combined Ziwu Liuzhu and warming acupuncture group showed significant improvement in relieving diarrhea, abdominal pain, and bloating, with longer-lasting effects. This group also exhibited superior enhancement in gastrointestinal motility, neuro-immune function, and gut microbiota balance compared to the other groups. Additionally, the combined therapy demonstrated good safety, with no significant adverse effects observed.
The Application of PDCA Nursing Mode in the Case of a Patient with Dentition Defect Undergoing Dental Implantation: A Case Study
Authors: Wu Dan , Huang Zefan , Zhang Jiali , Hong Xiaoying , Sun Haipeng , Wu Binbin , Zhou Ruantong
Published: December 2024

This study summarizes the nursing experience of dental implant restoration in a patient with cerebral palsy and dentition defect. We applied the PDCA nursing mode throughout the patient's treatment process and observed significant positive outcomes. The surgery and nursing care proceeded smoothly, with the patient's neurological functions remaining stable postoperatively. The dental implant showed good osseointegration, healthy surrounding soft tissues, and no signs of bone loss in radiographic examinations. The patient's oral hygiene remained consistent. This case highlights the effectiveness of the PDCA nursing mode in improving nursing quality, promoting patient recovery, and reducing complications in patients with dentition defects and cerebral palsy undergoing dental implant surgery. This approach holds significant clinical implications and merits wider adoption.
Research Progress on Feeding Behavior of Prawn Based on Passive Acoustics
Authors: Huang Nanqing
Published: December 2024

Passive acoustic monitoring (PAM) technology can obtain the sound information of aquatic organisms without causing disturbance or damage to aquatic organisms, and use the information for various ecological research and aquaculture activities management. With the continuous improvement and progress of prawn culture technology, the density of prawn culture continues to increase, but the problems such as low feed utilization rate and deteriorating water quality seriously restrict the rapid development of prawn culture. The use of passive acoustic monitoring technology can realize intelligent automatic feeding, improve feed utilization and alleviate water quality deterioration. This paper mainly describes the feeding process of prawn and its influencing factors, summarizes the research progress and application of passive acoustic monitoring technology in the acoustic signal of prawn feeding in recent years, analyzes the advantages and disadvantages of passive acoustic monitoring technology, and puts forward the future development trend in view of the existing problems, in order to provide a reference for the automatic feeding system to become intelligent.
The Enlightenment and Guidance of the Theory of Qi, Blood, Phlegm, and Stagnation for Modern Emotional Disorders Treatment
Authors: Cheng Zhiru
Published: December 2024

Zhu Danxi's emotional disorder theory, as an important part of traditional Chinese medicine, reveals the etiology and treatment methods of emotional disorders through core concepts such as the "Theory of Qi, Blood, Phlegm, and Stagnation," and the "Theory of Ministerial Fire." This paper explores the application of Zhu Danxi’s theories, such as the Yin-Nourishing Theory, Six Stagnations Theory, and Emotion Regulating Method, in comparison with modern emotional disorder therapies such as cognitive therapy and Morita therapy. Research shows that Zhu's theory not only has unique advantages in regulating emotions and balancing the mind and body but also provides innovative ideas for modern mental disorder treatment, emphasizing dialectical treatment and emotional regulation. On this basis, the paper proposes combining Zhu Danxi's theories with modern treatment methods to create a more personalized and comprehensive emotional disorder treatment system to improve clinical efficacy and patient quality of life. This paper aims to promote the integration of traditional Chinese emotional disorder theories with modern psychology and provide new theoretical foundations and practical guidance for Chinese medicine psychology.
Five-Year Trend Analysis of Blood-Borne Disease Screening Results in Shiyan, Hubei Province, China (2019-2023): A Time Series Study
Authors: Zhang Xuan , Tian Fang
Published: December 2024

This study aims to analyze the temporal trends of blood-borne disease (hepatitis B, hepatitis C, HIV, and syphilis) screening results in Shiyan City, Hubei Province, from 2019 to 2023. The research is based on five years of monthly screening data from the Shiyan Central Blood Station, utilizing time series analysis methods including trend analysis, seasonal analysis, and ARIMA modeling. Results show that the screening positivity rates for hepatitis B and hepatitis C demonstrate a slow declining trend, while the positivity rates for HIV and syphilis remain relatively stable. All diseases exhibit significant seasonal fluctuations, with higher detection rates in summer. The study also finds that the COVID-19 pandemic in early 2020 had a significant impact on screening work, leading to a temporary decrease in testing volume. This research provides important evidence for understanding the prevalence trends of blood-borne diseases in Shiyan City, offering references for local blood safety management and public health decision-making, and potentially providing methodological insights for similar studies in cities of comparable scale.
Exploring the Connection between Traditional Chinese Cultural Thought and the Prevention and Treatment of Epidemics: A Study of Traditional Chinese Medicine (TCM)
Authors: Teng Beiduo
Published: December 2024

The essay explores the relationship between Traditional Chinese Medicine (TCM) and the prevention and treatment of epidemics, emphasizing its historical roots and modern applications. It discusses how traditional Chinese cultural thought, including Confucianism and Daoism, influences public health ethics and preventative health approaches. The study highlights both the historical and contemporary roles of TCM in epidemic response, offering examples from classical texts and modern integration with public health practices. Additionally, the document analyzes the complementary strengths of TCM and modern medicine, such as TCM's holistic approach versus the precision of modern methods, and provides insights into future challenges and directions.