bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Assessment of Meat Prepared Dishes and Reflections on Food Safety
Authors: Lin Yuzhu
Published: July 2024

With the rise of the house economy and the accelerated pace of people's lives, the public's consumption concept is also changing. Traditional dishes have been unable to meet people's requirements for high quality of life, and prepared dishes have emerged.a high quality of life, and prepared dishes have emerged. Meat-prepared food is an important part of prepared dishes and although it is now facing a high market demand, there are still problems related to chemical safety and standards that need to be revolutionized in terms of its processing transportation, and storage.And again under the influence of the epidemic, the processing characteristics and nutritional value of meat-prepared dishes have attracted much attention, so the assessment of their safety riskiness is particularly important. This study addresses the issue of safety risks of meat prepared dishes, provides an in-depth understanding of the development status of the prepared dish industry in China, analyzes and evaluates its risks, and makes appropriate interventions and measures to cope with food safety issues, providing theoretical references for the development of meat prepared dishes.
Prevention, Control and Management of Drug-related Crime in the Form of "Internet+Shipping"
Authors: Guo Qian
Published: July 2024

As a new manifestation of drug crimes in China, the "Internet+Shipping" form of drug crimes has new characteristics and brings new challenges to the governance of drug crimes in China. In view of the current "Internet+Shipping" form of drug crime governance, there are problems such as lack of implementation of shipping security, loopholes in security supervision, difficulty in detecting drug trafficking facts, and difficulty in collecting and fixing evidence of drug trafficking, and it is proposed to enhance the main responsibility of the shipping enterprises, strengthen the supervision of all parties, enhance the detection ability of network drug trafficking, and build a collaborative pattern of investigation and prevention to combat Internet drug trafficking. It puts forward prevention and control and governance strategies to enhance the main responsibility of sending and delivering enterprises, strengthen the supervision of all parties, improve the investigation ability of Internet drug trafficking, and build a collaborative pattern of investigation against Internet drug trafficking, so as to improve the effectiveness of China's drug crime governance.
Impact Of Supply Chain Digitization on Enterprise Digital Transformation: Case Analysis and Strategies
Authors: Wang Jiaying
Published: July 2024

This study examines the role of digital technologies in driving digital transformation in enterprises. As the economy and society enter a new era characterized by digital as a central feature, more and more companies are embarking on digital transformation, and more and more processes in the supply chain are applying digital technologies. However, while literature on the economic consequences of digital transformation has begun to emerge, the existing literature has received less attention than research on the factors influencing firms’ digital transformation. The existing literature still needs to be improved and requires further in-depth research in past studies, especially in discussing supply chain relationships and firms’ digital transformation. This study suggests a theory of dynamic capabilities to improve the digital transformation of businesses by integrating and analyzing internal and external factors in the digital transformation of businesses, as well as a case study on the dual impact of supply chain digitization on the digital transformation of businesses. It talks about studies on digital transformation that focus on MSMEs as their target market and offers recommendations for further research on the improvement and management of external interactions. By examining how the supply chain affects the digital transformation of enterprises, this paper suggests new perspectives and research scopes for exploring how to improve the success rate of enterprise transformation and help to better contribute to the academic community.
Bert-based model for Ceramic Emotional Text Recognition and Multi-label Classification
Authors: Li Busheng , Li Siqi , Qiu Wangren , Liu Tao
Published: July 2024

Ceramic products are necessities for daily home life, while the emotional analysis research on ceramic products cannot keep up with the needs of social and economic development. To mine the valuable information on ceramic emotion quickly and effectively, this work has proposed a novel method for text recognition and classification of microblogging information related to Jingdezhen ceramics by fusing Bert model and multi-label classifiers on the novel dataset we first established. Firstly, the first multi-label emotion dataset consisting of 7564 samples was constructed on 10154 raw samples obtained with Python from microblogging information, which is noted as the keyword “Jingdezhen ceramics”. Secondly, the data were categorized with multiple labels into useful or useless information. Useful information was further classified into three categories: price information, appearance information, and quality information. Thirdly, a hybrid model combining Bert and multi-label classifiers has been provided for analyzing ceramic emotion. Based on a series of experiments, it has been observed that the predictor’s accuracy is 92% and its loss value is 0.33. This work highlights the annotation guidelines, dataset characteristics, and insights into different methodologies used for analyzing ceramic emotion and cultural heritage.
Board Faultline and Corporate Fraud
Authors: Qiu Xue
Published: July 2024

Drawing on data analysis of Chinese A-share listed companies between 2011 and 2022, this paper examines how board faultlines affect corporate fraud. The results indicate that: (1) board faultlines have a significant inhibiting effect on corporate fraud and impede corporate fraud involving different levels of punishment; (2) A high level of environmental uncertainty can improve the cohesion of the board team. But when the first largest shareholder is in absolute control of the enterprise, the influence of the board Faultline is weakened.
Prediction of High-speed Traffic Flow in Baoan District in Shenzhen
Authors: Lu Yanqing
Published: July 2024

Nowadays, with the increasing number of cars, high-speed congestion has become a common phenomenon. This paper studies the traffic flow prediction of an expressway in Shenzhen, aiming to avoid congestion at the expressway during holidays and carry out effective management. The author uses the ARIMA model for research, with data selection of vehicle flow at expressway intersections from December 2002 to June 2023. Firstly, the ADF test is used to check the feasibility of the data. The ACF and PACF are used to determine the values of p and q in the ARIMA model. What is more, the optimal model is selected by comparing the BIC values of the models constructed with different p and q values. Finally, model establishment and analysis are carried out. It is found that in the 14 years after the selected data, the traffic flow is still on the rise, and it is necessary to pay attention to the traffic flow management of this high-speed section.
Research on User Centred Guitar Online Teaching Mode under the Internet Background
Authors: Zhou Ding , Yang Yuting
Published: July 2024

Under the background of the Internet, guitar teaching is gradually combined with the Internet, and guitar online education platforms appear in the public eye. Different platforms have different teaching modes or specific functions, and guitar learners need to switch different platforms to get different service experiences. Based on this, this paper analyses the status quo of guitar online education platforms, secondly, it discusses the practice points of the user-centered guitar online education model under the background of the Internet, and finally puts forward a few suggestions around how to improve the education model of guitar online education platforms with the core of users.
Impact of ESG Performance of Manufacturing Companies on their Export Trade
Authors: Li Qingyang
Published: July 2024

China's manufacturing sector occupies an important position in the international market and is at a critical stage of development. Manufacturing companies can use ESG to achieve their green transformation and sustainable development. It is important to study the impact of ESG performance on the export of manufacturing companies. This paper examines the impact of ESG performance on the export trade of manufacturing companies using a sample of Chinese A-share listed companies in Shanghai and Shenzhen during the period of 2012-2021. It is found that ESG performance has a significant positive impact on the export trade of manufacturing companies. It is further found that ESG performance can help manufacturing firms export through two paths: alleviating financing constraints and reducing operating costs; the positive impact of ESG performance on exports is more significant among non-state-owned firms and firms from eastern China. This study has important practical significance for the development of import and export enterprises.
Microglia phagocytosis regulated by RAC2 in Alzheimer's disease brains
Authors: Zhu Libei
Published: July 2024

Alzheimer's disease (AD) is a degenerative neurological disease characterized by memory impairment, agnosia, and loss of motor function. Although treatment is available to alleviate symptoms, there is no cure due to limited understanding of its pathogenesis. Amyloid protein amyloid-β (Aβ) is believed to be the core mechanism of disease onset. And several studies reported that Aβ plaque could be effectively cleared by microglia, thereby preventing AD progression. Yet as a double-edged sword, microglia over-activation would cause unexpected neuroinflammation in patients with AD. To understand the dysfunction of microglia in AD, single-cell RNA-sequencing (scRNA-seq) was used to precisely determine the gene expression of microglia populations. Several genes involved phagocytosis showed decreased expression in microglia of AD brains. The upregulated RAC2, a small Rho-GTPase (GTP enzyme), was selected to explore its function in microglia activation. Results from in vitro experiments further revealed the overexpression of RAC2 in microglia of AD patient may increase the microglia phagocytosis to Aβ. Therefore, RAC2 overexpression can potentially reduce the level of Aβ protein in AD patients and delay the progression of the disease. We hope that the results of the experiment will provide more helpful information for the treatment of AD.
Optimization research on logistics network cargo volume prediction based on ARMA model
Authors: Wang Zhicheng , Xue Kairen , Xu Junlei
Published: July 2024

With the rapid development of power grid logistics, predicting the cargo volume of logistics network sorting centers and reasonable personnel scheduling play a crucial role in their development. This article studies the problem of cargo volume prediction and personnel scheduling in logistics network sorting centers. A time series prediction model, logistics graph and network analysis model, and 01 integer programming model are established to obtain a more reasonable cargo volume prediction and personnel scheduling plan. To predict the daily and hourly cargo volume of 57 sorting centers for the next 30 days, an ARMA time series prediction model was established based on time series data. Firstly, the original sequence was preprocessed, and then the ARMA model was used to predict and analyze the daily and hourly cargo volume of each sorting center. Finally, a goodness of fit test was conducted on the model, and it was found that the model passed the test. When there are changes in the transportation routes between sorting centers in the next 30 days, this article establishes a graph and network model to analyze the transportation routes, analyze the changed routes, and finally dynamically adjust the predicted daily and hourly cargo volume for the next 30 days based on the built model. After calculation, the final dynamic adjustment result is obtained.
Intelligent Decision and Path Planning Algorithm of AGV Vehicle based on Deep Learning
Authors: Huang Hongwei , Wang Xiangda , Song Xinyu , Yang Renyu , Guo Run , Liu Shuyang
Published: July 2024

With the widespread application of intelligent unmanned vehicles, intelligent navigation, path planning, and obstacle avoidance technologies have become important research topics. This paper proposes an AGV (Automated Guided Vehicle) intelligent decision-making and path planning algorithm based on deep learning. This algorithm uses environmental information to trace a route to the target point while avoiding both static and dynamic obstacles, making it adaptable to different environments. By employing a combination of global planning and local obstacle avoidance decision-making, this method addresses the path planning problem with better globality and robustness, and the obstacle avoidance problem with improved dynamism and generalizability, while also reducing iteration time. During the network training phase, traditional algorithms such as PID and A* are integrated to enhance the convergence speed and stability of the proposed method. Finally, various experimental scenarios for navigation and obstacle avoidance were designed in the Robot Operating System (ROS) and simulation program Gazebo. The simulation results verified that the proposed method, which takes into account both global and dynamic aspects, is reliable and that the generated paths and time efficiency have been optimized.
Evolution Path and Development Trend of the Research on N-V Shift
Authors: Wu Yongjin
Published: July 2024

N-V shift is a widespread linguistic phenomenon in Chinese, and it is also an important part of the study of part of speech. Based on bibliometrics softwares, this paper takes the related papers of N-V shift in China as the research object, collects 426 related studies from CNKI in recent 30 years (1992-2023) as data sources, and explores the evolution path and trendency of N-V shift from five dimensions: author, stage publishing trend, keyword clustering and co-occurrence network, and theme time zone change, and presents its research status, frontier trend and prospect in theory and practice, ontology and application, in order to provide reference for the future development of this field.
E-commerce logistics management cargo volume prediction research: a cargo volume prediction system constructed based on LSTM models
Authors: Yang Na , Liu Xin , Yu Peisen
Published: July 2024

With the booming development of the Internet economy, the e-commerce market continues to expand, the importance of the e-commerce logistics industry has become increasingly prominent, and the continuous optimization of its level of service is imperative. Sorting link as the "main force" of e-commerce logistics, reasonable prediction of the amount of goods and analyze the transportation route can effectively reduce costs and improve efficiency. In this paper, the LSTM neural network model is used to predict the future operation of cargo volume for the historical cargo volume of the sorting center. By debugging the parameters and structure of the model for many times, it successfully predicts the cargo volume for the next 30 days and every hour, which provides effective support for the management of the logistics industry.
Topology Optimization of Quadruped Robot Limbs based on Buckling Analysis
Authors: He Qile
Published: July 2024

Quadruped robots, recognized for their stability and simplicity, are at the forefront of robotics research. A key to their functionality lies in the optimization of their limbs, which significantly influences their operational stability and efficiency. This paper utilizes buckling analysis with the Euler column formula to optimize the topology of limbs in order to improve the effectiveness. Through rigorous computation, this method made it possible to determine the ideal thigh-to-calf length ratios and articulation angles—two factors that are essential for optimizing the robot's load-bearing efficiency and operational stability. The optimal numerical range was then simulated using finite element analysis, providing the best structure based on yield stress and displacement magnitude. V-REP simulations confirmed the practical performance and adaptability in dynamic environments. This research found that the robot performs optimally when its thigh-to-calf length ratio is roughly 1.05 and its articulation angles are between 30° and 45°. The most effective limb designs showed that they could sustain loads up to twice their own while maintaining structural integrity. This progress in limb optimization not only represents a major improvement in the functionality and design of quadruped robots, but it also expands their range of applications, increasing their suitability for search and rescue operations.
Preface: 4th International Conference on Economic Management and Corporate Governance (EMCG 2024)
Authors: Leighton Winston , Tang Hen
Published: July 2024

The 2024 4th International Conference on Economic Management and Corporate Governance (EMCG 2024) was held in Montreal, Canada from May 04-05, 2024. It brings together more than 40 researchers from industry, government, and academia. We invited submissions of papers on all topics related to economic management, business information systems, decision sciences, corporate governance, market structure and pricing. The conference provides opportunities for participants to share ideas, designs, and experiences on the future directions. The conference will feature a high-quality technical & experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high-profile keynotes.
The conference model was divided into three sessions, including oral presentations, keynote speeches, and Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 10-15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-40 minutes to hold their speeches. Their insightful speeches had triggered heated discussion in the third session of the conference.
The EMCG 2024 proceedings are a compilation of the accepted papers and represent an interesting outcome of the conference. All the papers have been through rigorous review and process to meet the requirements of international publication standard.
We would like to acknowledge all of those who supported EMCG 2024. The help and contribution of each individual and institution was instrumental in the success of the conference. We would like to thank the technical committee for its valuable inputs in shaping the conference program and reviewing the submitted papers.
The Organizing Committees of EMCG
Montreal, Canada
Case Study on The Failure of World Agricultural Machinery IPO
Authors: Sun Ruijing , Zeng Ziyi , Zhu Yihan
Published: July 2024

The relatively low financial requirements of GEM have made it possible for companies to IPO, but at the same time the review has become more stringent. Through the analysis of the failure of the IPO of World Group, this study finds that the main reasons for its failure in the IPO process are the lack of continuous operation ability and the defects of internal control, and points out two corresponding suggestions based on the reasons for the failure, namely, improving the ability of enterprises to continue operating and improving the internal control of enterprises, which will be the key to improve the success rate of World Group IPO. This study provides experience and reference for GEM listed companies by analyzing in detail the reasons for the failure of World Group IPO and pointing out the corresponding suggestions, which is of certain significance for improving the IPO success rate of GEM companies.
Effect Of Dietary Protein and Fat Content on Muscle Protein Synthesis (MPS)
Authors: Chen Xingzhi
Published: July 2024

This paper aims to explore how the ratio of protein and fat in the diet affects the efficiency of muscle synthesis, provide more scientific dietary guidance for amateur athletes and bodybuilders, and provide a concise and reasonable reference for ordinary people who pursue a healthy diet. This paper integrates various academic literatures published on the official platform in recent years and analyzes the effects of protein and fat on the body based on data and experimental results. It mainly aims at and refutes some wrong ideas in the public stereotype, such as the harm of excessive intake of protein, the harm of long-term low-fat or fat free diet, etc., in order to correct the misleading of outdated literature and false commercial propaganda on the public diet concept. Judging from the results, both protein and fat are indispensable parts of daily diet, and single nutrients should not be too much or too little. A normal adult's daily intake of fat should not be less than 20% of total calories, and protein intake should not exceed 1.6 grams per kilogram of individual weight. The results of this study highlighted the important role of various nutrients in the diet, as well as the harm of long-term low-fat or fat free diet, and provided guiding suggestions for balanced diet and daily diet.
Analysis of the Reasons for the High Price of Luxury Goods Based on Consumer Psychology
Authors: Zhou Yanhan
Published: July 2024

It is commonly known that the price of luxury brand products is usually much higher than that of ordinary similar products, and the price fluctuation of luxury brand products is small and relatively stable. Moreover, even though luxury goods have high prices, they always have stable consumer groups and market demand. Although extensive research has been carried out on the consumer psychology, and how the consumer influences the pricing of luxury brands, no sufficient study which can explain how the brand DNA affect the luxury brands pricing. Therefore, it is crucial to analyze the influence of luxury brand DNA on brand pricing. This analysis can help luxury brands better establish brand image, help them better convey brand values, create unique brand stories, and increase brand reliability. At the same time, this analysis can also help luxury brands better optimize their brand experience by understanding consumers’ expectations and help luxury brands design more attractive and competitive product.
Teaching Freshmen Lexical Cohesion in Academic English Writing
Authors: Zhang Yuting
Published: July 2024

Lexical cohesion has been neglected in English language teaching in mainland China for a long time and students tend to overuse conjunctive elements in their academic writing. This essay aims at teaching freshmen in mainland China to understand how to achieve lexical cohesion through the analysis of a text from The Economist and thus lay a solid foundation for their future academic English writing. Firstly, I will introduce the teaching context of lexical cohesion in mainland China in terms of its difficulty and importance and explain the reasons why I choose this text for analysis. In the next section, I will analyze it using two analytical tools: Nunan’s lexical cohesive category and Flowerdew’s signaling nouns. Then, I will provide pedagogical suggestions and design one activity to teach freshmen in mainland China lexical cohesion in academic English writing. At last, I will anticipate the challenge teachers may encounter when applying this activity and think about the countermeasures.
The impact of The Great East Japan Earthquake to Japan Economy
Authors: Chi Wenling
Published: July 2024

On March 11, 2011, Japan witnessed a devastating earthquake, which is examined in this article along with the likely short-term economic consequences. The center of Great East Japan Earthquake was close to Tohoku, Japan's northeastern shore. It triggered a massive tsunami and the subsequent Fukushima nuclear accident, which resulted in extensive damage and several casualties. The earthquake had a major impact on economic development not just in the areas directly affected by the earthquake, but also in other parts of Japan. This tragedy claimed the lives of more than 23,000 people (as of May 23) and inflicted damage estimated around $200 billion in Japan. This article focuses on evaluating effects of this natural disaster on the economy of Japan. There are two aspects included by this analysis-the real private residential investment and consumption expenditures. The ARIMA model analysis of the data prior to the earthquake and the comparison of the actual data with the estimated data from following months show that the earthquake had a detrimental effect on Japan's economy. According to the ARIMA model analysis, The Great East Japan Earthquake have different influence on the Japan economic. For consumption expenditure, the earthquake exerts a negative impact on it, while the real private residential investment is increased after this earthquake.
The Innovation of Cross-cultural Communication Path of Elegies of the South in the New Media Era
Authors: Huang Yating
Published: July 2024

As a treasure of traditional Chinese culture, Elegies of the South has important historical and cultural value. In the trend of internationalization of Chinese culture, Elegies of the South is also an important part of Chinese culture “going out”. In the era of new media, how to effectively promote the globalization of Elegies of the South in cross-cultural communication has become an important issue. Studies have shown that through digital platforms, social media, online literature, and audiovisual media, it is possible to make use of new media features such as multimedia interactivity, participatory culture, and fan economy to revitalize Elegies of the South's cultural connotations, and to enhance the acceptance and resonance of its global audience. In addition, the implementation of culturally adapted translation and localization strategies of Elegies of the South is also an important way to cross linguistic and cultural barriers and promote cross-cultural communication.
Stress level of fulltime university classroom instructors affecting their classroom performance
Authors: Shi Jiannan
Published: July 2024

This study aimed to investigate the influence of stress levels of college professional classroom teachers on their classroom performance. This study systematically analyzed the intrinsic connections between teacher stressors, stress levels, and classroom performance. It is found that the pressure of teachers mainly comes from the teaching task, scientific research pressure, student management and other aspects. Moderate pressure can stimulate teachers 'teaching enthusiasm and innovative spirit, while excessive pressure may lead to teachers' emotional exhaustion, single teaching method, reduced classroom interaction and other problems, and then affect the teaching effect and students' satisfaction. Finally, this study puts forward specific strategies and suggestions to reduce teachers 'pressure and improve classroom performance, which provides useful references for university administrators and teachers' personal development.
The Impact of Scaffolding Teaching Method to Students' Learning Outcomes in Teaching Badminton
Authors: Zhu Huiwen , Chen Junji , Yang Shutong
Published: July 2024

This study adopts the quasi-experimental method to analyze the differences of students' ability indexes before and after the experiment as well as students' responses to scaffolding teaching by intervening scaffolding teaching and traditional teaching in two badminton classes in Guilin University. The researcher selected 30 students from the two classes as the study subjects and divided them into experimental and control groups. The control group was taught by traditional teaching method and the experimental group was taught by scaffolding method after 8 weeks of experimental intervention. This study concluded that the gender ratio, grade distribution and number ratio of the control and experimental groups were comparable, which helped to reduce the influence of external factors on the results and improve the credibility of the study. Before the badminton program intervention, the control and experimental groups had similar scores. Before the badminton program intervention, there was no significant difference between the pre-test scores of the control group and the experimental group in terms of striking technique, footwork. The experimental group using the scaffolding method had a significant advantage in striking technique and footwork, which indicates the potential effectiveness of this teaching method in promoting students' skill development. The experimental group using the scaffolding method in the badminton course showed significant advantages in badminton skills. These results further demonstrate the positive role of scaffolding in physical education courses and provide a practical basis for further promotion and application of scaffolding.
Smart Racket Combined with Multiple Sensors
Authors: Liu Yehang
Published: July 2024

With the development of the sports industry, the demand for badminton athletes to improve their skills is increasing. Nowadays in badminton training, individuals frequently rely on coaches' instructions and draw from their previous gaming experiences to enhance their skills. However, this approach often falls short of desired outcomes. Frequently, trainers struggle to ascertain the accuracy of their shot's force, angle, or direction. At the same time, it is currently unable to monitor the physical condition of athletes in real-time without affecting their training. Therefore, it is necessary to design a racket that can assist athletes in the hitting process and monitor their physical condition. The research topic of this article is how to achieve data-driven analysis of hitting posture and monitoring of physical condition of athletes through the combination of sensors and rackets. This article combines practical production with theoretical research. It includes model making for Angle measurement parts and discusses and theorizes the parts currently impossible to achieve. Research has found that the created model can measure the angle during the hitting process, and the theory of using photoelectric sensors to measure blood oxygen concentration can also be realized. The introduction of sensors may have a significant impact on the badminton industry. In the future, the appearance of the product can be further improved to make it more practical.
Study on the Treatment of Bipolar Disorders Group Based on Neuroregulatory Techniques
Authors: Dong Fengle
Published: July 2024

Bipolar disorder is a common mental illness in the 21st century. Bipolar disorder has caused great harm to patients due to its sudden, incurable and huge negative impact on patients' lives, such as inability to work and study normally and inability to take care of basic daily life. In the statistics, the number of suicides caused by bipolar disorder has reached 3% of the total patients, becoming a problem that cannot be ignored in today's society. At present, the treatment of bipolar disorder mainly relies on drug therapy and psychological counseling. Medication refers to the use of antidepressant drugs such as fluoxetine to treat depressive mood, while the use of depressant drugs to treat mania. While enjoying the effects of the drug, the patient's dependence on the drug cannot be ignored. In addition, the limitations of prescribing separate drugs for depression and mania still need to be addressed. Patients need a faster acting, more convenient, more integrated control of the treatment equipment for the overall control of bipolar disorder patients. BCI, as a new technology, has the ability to directly regulate brain activity and then affect human behavior. In the current database of papers, there are very few articles using BCI to treat bipolar disorder, or even other psychiatric disorders. By exploring the function of BMI, this paper hopes to understand the mechanism behind bipolar disorder and explore the possibility of using BMI to treat bipolar disorder.
Prediction of Traffic Flow at Urban Intersections using LSTM Model
Authors: Hu Haiyi
Published: July 2024

The growth of population and economy is resulting in an increase in the usage of cars in cities, which is causing issues. Traffic congestion has become a normal phenomenon. To better deal with the problem, it is of great significance to forecast the traffic flow. This problem is addressed by proposing the use of the LSTM model in this paper. Using the data from the Shanghai Public Data Open Platform, two sets of data are chosen to do the experiment. The data was collected by loop and accurate to second, which makes it pretty unstable. In this situation, the LSTM model still has a good result. The mean absolute error of Loop 1, Loop 4, and Loop 9 prediction is 3.579, 6.515, and 4.253.  all reaches over 0.8. Furthermore, the LSTM model can add more features to improve its accuracy to fit future traffic conditions. Through this research, it is concluded that the LSTM model is suitable for predicting time-series statistics and performs a high accuracy.
Research on Segmented Hydraulic Fracturing Technology for Directional Long Boreholes in Coal Mines
Authors: Lu Zhanjin
Published: July 2024

Hydraulic fracturing in coal mines is an advanced technology that reduces pressure, increases permeability, and effectively improves the effectiveness of coal seam gas extraction. In order to improve coal seam gas extraction and effectively prevent gas disasters in Daning Coal Mine, the segmented hydraulic fracturing process and its crack propagation law were analyzed. The directional long borehole segmented hydraulic fracturing technology in the coal mine was applied on-site in Daning Coal Mine. The research results show that the segmented hydraulic fracturing process can be divided into four stages: system water filling, system pressurization, crack propagation, and system pressure relief. Under the same extraction time conditions, the average increase in pure drilling extraction after hydraulic fracturing at the Xida 1-05 drilling site of Daning Coal Mine is 30%.
The Role of Digital Marketing in Promoting Sports Marketing：Taking the Changes in NBA Marketing Methods as An Example
Authors: Yu Zhuoli
Published: July 2024

The 21st century is an era of high-speed wireless information dissemination, and new media dominated by network media and mobile phone media have shown a spurt in development. Social media is creating new ways of communication between fans, athletes, teams, and sponsors. Mobile technology is also changing the way fans consume sports content and live events. In this context, digital marketing has gradually become one of the most important marketing models in the sports business. Therefore, this article collects the NBA's digital marketing profit data, compares it with the NBA's traditional marketing, and explores the role of digital marketing in promoting sports marketing. The study found that the NBA uses digital marketing to improve the interactivity of its products and strengthen its connection with its fan base, although it is still controversial in some areas due to user privacy issues. However, the digital marketing has brought major changes and benefits to sports marketing.
Research on the Impact Mechanism of Green Technology Innovation on ESG performance
Authors: Li Wenyu
Published: July 2024

In the context of " Carbon peaking and carbon neutrality goals", the ESG concept of integrated environment, society and governance is an important standard for evaluating enterprises in promoting green and sustainable development of economy and fulfilling social responsibility. How to improve enterprise ESG performance is very important, and green technology innovation is one of the key ways to achieve enterprise ESG goals. Based on the panel data of A-share listed companies from 2009 to 2022, this paper uses the fixed-effect model for empirical testing. The research shows that green technology innovation has a significant role in promoting the ESG performance of enterprises; Environmental regulation plays a negative regulating role. The green technology innovation is divided into green product innovation and green process innovation, and it is found that green process innovation contributes to the improvement of green product innovation, so as to promote the ESG performance of enterprises. The impact of green technology innovation on ESG performance of enterprises is heterogeneous. For state-owned enterprises, enterprises in central and western regions and heavily polluting enterprises, improving green technology innovation can have a more positive impact on ESG performance of enterprises. In addition, after a series of endogeneity and robustness tests, the above conclusions are still valid. Businesses and governments should work together to promote green technology innovation to enhance ESG performance and promote green and sustainable economic and social development.
Comprehensive Application Analysis of Digital Twin System in Human Robot Collaboration
Authors: Xie Qiyi
Published: July 2024

Twin Systems (DTs) on Human-Robot Collaboration (HRC) within the context of Industry 5.0, drawing insights from 18 selected studies. It highlights three primary applications of DTs in HRC: optimizing production workflows through real-time simulation and analysis for efficiency enhancement, leveraging real-time data for dynamic task allocation to increase system flexibility, and improving worker safety by intelligently managing robot movements based on safety distance monitoring. In order to serve as a reference for upcoming researchers, this study provides an overview of recent research accomplishments in the primary applications of digital twin systems in HRC. This research explores Digital Twin Systems (DTs) in Human-Robot Collaboration (HRC) in Industry 5.0 in detail, emphasizing how they might improve productivity, adaptability, and safety. Furthermore, while examining the potential paths for digital twin evolution, the study's findings provide insightful information for upcoming investigations and applications pertaining to human-robot cooperation. This paper emphasizes how crucial DTs are to the development of intelligent, effective, and safe industrial processes.
Overview of Gastrointestinal Tumors and Therapeutic Advances in East Asia
Authors: Li Zihao
Published: July 2024

In East Asia, gastrointestinal tumors are a common group of malignant tumors, including gastric, colorectal, and liver cancers. The high incidence of gastrointestinal tumor neoplasms is related to various factors, including genetic factors, dietary habits, environmental factors, and infections (e.g., Helicobacter pylori infection). In recent years, monoclonal antibody therapeutic modalities targeting HER2, PD-L1, and EGFR have been proved to have unique effects in treating gastrointestinal tumors, providing a new direction for treatment. HER2, a protein overexpressed in some certain populations, has been linked to the occurrence, growth and metastasis of the tumor. Related experiment results proved monoclonal antibody therapy targeting HER2 (e.g., trastuzumab) has shown to significantly improve the efficiency of treating gastrointestinal tumors. PD-L1 is a surface of tumor cells protein which helps tumors to evade attack by the immune system. Treatment with PD-L1 monoclonal antibody therapy, such as pembrolizumab and nivolumab, has shown benefits in enhancing the immune system's capacity to recognize and eradicate tumors. Aberrant activation of EGFR act as an important role in the growth of enormous gastrointestinal tumors. Monoclonal antibody treatments directed against EGFR, such as cetuximab, can efficiently disrupt the EGFR signaling cascade, thus suppressing the proliferation and viability of cells in tumor. Meanwhile these monoclonal antibody therapies can be used not only alone, but also in combination with chemotherapy, targeted therapeutic agents to enhance the effectiveness of treatment. For example, dual targeting of HER2 and PD-L1 has shown enhanced efficacy in clinical trials. In addition, the combination of monotherapy targeting EGFR with KRAS G12C inhibitors has shown promise in colorectal cancer treatment. In summary, the three monoclonal antibody therapeutic modalities of HER2, PD-L1, and EGFR have unique advantages in the treatment of gastrointestinal tumors, which not only provide precise therapeutic approaches against different molecular targets, but also open up new paths for the development of combination therapeutic strategies. With future research, these treatments are expected to further improve the recovery rate and the life quality of people with gastrointestinal tumors.
A Study of Stock Price Prediction Models Based on Kernel Clustering Localized Sliced Inverse Regression and Bayesian Model Averaging
Authors: Yang Zhenpei
Published: July 2024

Multifactor prediction models are pivotal in quantitative finance research, yet face issues such as the curse of dimensionality, complex interconnections, and model overfitting. To address these challenges, this study introduces a machine learning predictive model grounded in sufficient dimension reduction and model averaging principles, tailored for stock price forecasting. This method innovatively employs kernel function-based clustering and weighting to refine classic Sliced Inverse Regression, thereby mitigating the curse of dimensionality while maximally preserving the efficacy of predictive factors on stock prices. Furthermore, this approach utilizes Bayesian Model Averaging to navigate the intricate relationships between factors and stock prices, alleviating the risks of overfitting and underfitting. Empirical analysis demonstrates that, compared to traditional quantitative prediction models, this approach produces lower mean squared error, absolute error, and relative error in stock price forecasting, thereby confirming its accuracy and robustness.
Prediction of Taxi Ridership in New York City based on ARIMA Model
Authors: Zhang Xuanqi
Published: July 2024

With the development of society, people's travel demand is increasing. Traffic congestion has become an urgent problem to be solved. The effective prediction of passenger flow has become a key problem to solve the traffic congestion problem. There is always an accurate prediction result that allows people to better deal with the future traffic situation and make the best response strategy. In this study, the ARIMA model was used for prediction experiments. By analyzing and modeling the ridership data of New York taxi companies from January to July 2015. Get the suitable model for this study is ARIMA (3,1,1) model. And whether the data can be used by ARIMA model is tested to ensure the reliability of the model. Then, the line chart and prediction data about time and number of trips are obtained. Through this study, it can be found that ARIMA prediction model has certain practicability and reliability in predicting data. Through the analysis of the data set, the predicted value of the passenger flow from August 1 to 8 can be obtained more accurately. At the same time, there are some limitations, that can be improved when combined with other models. For example, when dealing with the data set related to vehicles in this study, the ARIMA model could not be used for predictive analysis because the data set itself had many extreme values and outliers.
Social Support Network of Tongqi Group in China
Authors: Deng Yikang
Published: July 2024

This study focuses on the Tongqi group - that is, women who are married to gay- a special social group and the challenges they face. With the gradual opening up of society’s recognition of sexuality and the development of online media, the issue of “Tongqi” has gradually attracted widespread attention. Even though society is growing more accepting of “sexuality” in general, many Tongqi still see little progress in overcoming societal obstacles such as unhappiness with requests for divorce and the prevalence of violence against intimate partners. This study is based on social support theory and aims to analyze the structural and functional aspects of the support networks of the “Tongqi” at the levels of family, community, nation, and society. The goal is to analyze the impact and role of these support networks on the challenges faced by the “Tongqi”, in order to help people better understand the situation and needs of this special group and to provide important references for improving the living conditions of these wives.
Application Of Smart Contracts Under the Framework of Contract Law Introduction
Authors: Lei Zhuguang
Published: July 2024

This academic paper delves into the intricate legal dimensions of smart contracts within the context of traditional contract law, tracing the evolution of smart contracts, their intricate linkages with blockchain technology and ethereum, and their thriving applications in diverse fields such as finance and supply chain management. Using a combination of literature review and comparative analysis, this study not only highlights the multifaceted advantages offered by smart contracts, such as automated execution capabilities and greater security, but also provides insights into the legal challenges they pose. These challenges contrast with the principles of traditional contract law, including the dilemmas of the legal nature of smart contracts, contracting, performance, and modification and remedies. To reconcile these differences, this paper argues for a set of innovative solutions. These include the adoption of the integration of multi-signature protocols to enhance mutual agreement, the strategic involvement of governmental oversight to ensure regulatory compliance, and the implementation of hybrid models that synergize on-chain functionality with off-chain operations. Through this comprehensive analysis, the paper aims at forging a path towards coordinating the dynamic capabilities of smart contracts with the established tenets of contract law, thereby unlocking their full potential in a legally compliant.
Assessing the Effectiveness of Social Dance in Promoting Social Skills and Self-esteem
Authors: Gao Mingzhao
Published: July 2024

The study investigated the impact of social dance on self-esteem and social skills among various demographics, with a particular emphasis on understanding how participation in these activities affects psychological and interpersonal results. The study used a descriptive comparative approach, gathering data from 502 social dance participants. The questionnaires measured many components of social skills, such as non-verbal communication, interpersonal skills, trust building, respect, and etiquette. Additionally, the questions assessed different dimensions of self-esteem, including a sense of identity, belongingness, and assertiveness. The analysis conducted using ANOVA and Tukey post-hoc testing demonstrated a statistically significant improvement in social skills and self-esteem positively associated with the length of time individuals engaged in dance activities. More precisely, participants with more than three years of dance experience reported the most significant improvements. Moreover, the specific dance genre had a pivotal effect, as contemporary dancers exhibited the most essential levels of assertiveness and general self-esteem. The results verified that extended engagement in social dance significantly improves personal and social welfare, endorsing its incorporation as a tool for personal growth in educational and communal environments.