bluuebunny/crossref_metadata_2025 huggingface dataset:
Accuracy analysis and efficiency evaluation of 3D laser scanning technology based on SLAM in underground mine roadway measurement
Authors: Jiang Liangmei , Luan Jinhua , Dong Yi , Ren Yao , Pan Yongzhuo , Zeng Xiangliang , Wei Minghao , Long Shiyuan , Yuan Jigang , Xiang Xintao , Ge Xinyuan
Published: July 2024

There are problems of time-consuming and labor-intensive, low degree of automation and high safety risk in the traditional underground mine roadway engineering measurement. In this paper, a method based on SLAM 3D laser scanning technology is proposed to measure mine roadways. At the same time, an underground mine was selected to carry out a rapid scanning experimental study. In this study, the method of closed-loop control of measurement error is used to synchronously collect point cloud data and image data. The data are fused based on the error state iterative Kalman filter (ESIKF). In addition, the optimal transformation matrix was calculated by taking the downhole control point as the feature point to minimize the target error, and the accuracy of the point cloud was analyzed by coordinate comparison, and the measurement efficiency was evaluated. The results show that the in-plane error of the point cloud is ±0.041m. The error in elevation is ±0.088m. The error in the profile is 0.035m. These results meet the requirements for the accuracy of the measurement technology. Compared with the traditional measurement method of total stations, the work efficiency is improved by about 3 times. This method has a good application prospect in underground mine roadway measurement.
Student-Centered Exploration of Diverse Teaching Strategies for Music Listening
Authors: Huang Huoming
Published: July 2024

The "Compulsory Education Art Curriculum Standards" (2022 Edition) emphasizes the fundamental role of listening in music education, asserting it as an indispensable avenue for nurturing students' core musical literacy. Listening serves as a direct conduit to musical perception, profoundly impacting students by enriching their emotional engagement, fostering a depth of auditory experiences, enhancing appreciation for musical aesthetics, and promoting holistic well-being. Thus, this paper delves into an analysis of the current situation of music listening education, conducting theoretical analysis and strategy exploration on the relationship between listening and music teaching. Through reflective optimization of teaching instances, the paper culminates in summarizing effective pathways for music listening, aimed at helping students listen effectively and advance their auditory acumen.
Research on the Image Construction of Superhero Characters in the American Superhero Film “The Dark Knight”
Authors: Wang Junren
Published: July 2024

In 2008, the Dark Knight set off an unstoppable dark wind on the screen under the combined effect of British director Nolan's direction, and excellent casting, sweeping a number of awards and leaving a colorful mark on film history. Many scholars have expressed their views on this classic film and made a series of studies. This paper shows the unprecedented limitations, de-godliness, and tragedy of other superhero images through the protagonist Batman's various behaviours, emotions, and his final ending in the film. The superhero image of Batman was destined to have limitations under the rule of law from the very beginning of his creation because his way is to abuse lynching in the dark of the night. Vigilantes may be able to play a momentary role, but ultimately it is not a long-term solution. At the same time, the film magnifies the real person behind the superhero's mask, in addition to the responsibility he shoulders, there are also his own true feelings. Finally, the tragic ending gives the film an anti-climax that makes the character even more deeply felt, countering the greatness and uniqueness of the character with a sad ending almost never seen before in the history of superhero films.
Personal Efficacy and Students’ Leadership Capabilities
Authors: Chen Kangli
Published: July 2024

This study is based on the domains of self-efficacy and student leadership, laying the foundation for improving students' self-efficacy and leadership skills. The results show that students' depth of self-efficacy and leadership skills in classroom learning is enhanced, and their development efficiency is improved. Through descriptive correlational design and SPSS analysis of data from 377 students, it was found that students performed at a high level in dimensions of self-efficacy such as Mastery Experiences, Vicarious Experiences, Verbal Persuasion, as well as dimensions of leadership skills such as Leading by Example, Collaboratively Inspiring Vision, among others. To enhance students' self-efficacy and leadership skills, teachers should take relevant measures in teaching, such as not considering gender, age, and major as the main factors for evaluating leadership ability, emphasizing students' actual performance and leadership experience, helping students build confidence, and strengthening the cultivation of leadership experience.
Metal Materials Research Progress of Bone Injuries Repair
Authors: Chen Mo
Published: July 2024

Repairing large bone defects caused by trauma or disease poses a significant clinical challenge. Metallic materials with good mechanical properties, biocompatibility and manufacturing processes can be used to repair bone defects. Materials utilized for mending bone defects encompass autogenous bone, allograft bone, metallic substances, bioceramics, polymers, and diverse composites. Biodegradable metallic materials such as iron, magnesium and zinc alloys are considered ideal for bone repair. Emerging metallic materials such as porous tantalum and bismuth alloys are of interest due to their affinity and versatility with bone. Although these materials have shown strong reconstructive capabilities in bone repair, there are still many challenges to overcome. However, there are still many practical difficulties associated with these metallic materials that need to be improved.
The Relationship between Emotional Intelligence and Self-Efficacy among Ordinary Chinese Employees
Authors: Wen Yuqing
Published: July 2024

EI is being taken more and more seriously in all walks of life around the world. A person’s EI can affect many of his psychological states and performance. Self-efficacy is a person’s self-judgment of whether he or she has the confidence to complete a task and is a driving force at work. However, there are not many studies in China on EI’s impact on employees’ work performance. Therefore, this study wanted to explore whether EI affects Chinese employees’ self-efficacy. A total of 185 Chinese ordinary employees (non-leaders) were invited to participate in this study. Wong’s and Law’s emotional intelligence scale and general self-efficacy scale which had high reliability and validity were used in this study. The result concluded that the EI of Chinese employees was positively related to their self-efficacy. So, providing Chinese employees with some EI training and cultivating their EI will help improve their self-efficacy and performance at work.
Analysis Of Current Development Status of Global Path Planning for Intelligent Carrier Robots in Warehouse Logistics Scenarios
Authors: Zhou Mingjun
Published: July 2024

At present, warehousing and logistics demand has increased greatly, in the face of a large number of parcels that need to be classified, packaged, and shipped, increasing not only the efficiency of the work is uneven and the cost of labor with the growth of workload and growth. However, intelligent robots are not only efficient but also have drastically reduced operating costs. Intelligent robots, as a highly efficient tool, have been gradually improved and applied to various practical scenarios to replace manual labor. In China, a variety of warehouses are needed, such as cargo warehouses, distribution warehouses, pickup warehouses, and so on. To address this situation, intelligent delivery robots, which are specialized in warehouse logistics scenarios, have emerged. The core technology of intelligent delivery robots is the analysis technology of global path planning. This paper analyzes the global path planning algorithm of an intelligent carrier robot in warehouse logistics scenario based on geometric mathematics and bionics. The significance of this paper is to make the intelligent carrier robot work more efficiently, so as to promote the development of the logistics industry.
Gray Correlation Analysis of Energy Consumption, Energy Structure and Economic Growth in China
Authors: Yin Hongli , Sun Zhaoyong
Published: July 2024

Energy is not only the driving force of economic activities, but also an indispensable resource for social development and civilization, and plays a pivotal role in the national economy. However, as energy consumption continues to rise, environmental protection issues are becoming more and more prominent, and have become a common challenge faced by the world. In this paper, the data of China's gross domestic product (GDP), the consumption of each energy species and the energy consumption of each industry from 2011 to 2021 are selected for correlation analysis, and the gray correlation between various types of energy consumption and the development of the national economy is measured. Based on the above analysis, this paper finally puts forward a series of targeted policy recommendations, which are aimed at balancing the relationship between economic growth and environmental protection, promoting the green transformation of the energy industry, optimizing the energy structure, and reducing carbon emissions, so as to promote the realization of sustainable development.
Research On Game Development and Revenue Based on Generative Artificial Intelligence: A Case Study of Netease
Authors: Liu Yize
Published: July 2024

This study investigates the application of Generative AI in game development and its impact on the final profit of a company. Firstly, the article introduces the development history of generative AI and its application in different fields, focusing on the application in the game industry. Subsequently, the specific application of generative AI technology in game development and its impact on the company’s performance is analysed through a case study of NetEase. It is found that through the introduction of generative AI technology, NetEase has successfully developed a series of innovative and unique games, such as “Ni Shuihan” and “Eggy Party”, and achieved significant commercial success. Finally, the study suggests directions for further research in the future, including more in-depth quantitative analyses of the application of generative AI in different game genres and markets, as well as exploring how individual or small team developers can benefit from the rise of generative AI.
Innovation of Public Health Management Model in the Big Data Environment
Authors: Liang Hanzhong
Published: July 2024

In the era of Big Data (BD), PHM is facing unprecedented changes and opportunities. This article discusses the innovation of Public Health Management (PHM) mode under the BD environment, points out the challenges faced in this process, and puts forward corresponding solutions. Through the introduction of innovative models such as data-driven decision support system, inter-departmental collaboration and information sharing, and precise public health intervention, the potential of BD technology in improving PHM efficiency, optimizing resource allocation, and strengthening disease prevention and control is demonstrated. This innovation process also faces challenges such as data privacy and security, data quality and accuracy, shortage of technology and talents, cross-departmental coordination problems and lagging laws and regulations. Therefore, this article puts forward a series of targeted countermeasures in order to provide guidance for the future development of PHM and promote the sustainable progress of global public health undertakings.
Network Pharmacology Study of Action Mechanism of Traditional Chinese Medicine in The Treatment Of COVID-19
Authors: Ji Xiaohan
Published: July 2024

Big data was utilized to analyze the network of biological systems and multi-target drug signal nodes, and despite traditional Chinese medicine proving effective against COVID-19 since the 2019 outbreak, the complexity and challenging actions of network pharmacology are essential for in-depth analysis. Objective: To present an overview of the literature on the mechanism of traditional Chinese medicine (TCM) in the treatment of COVID-19 based on network pharmacology. Methods: A succinct explanation of the data sources: Twenty items in all were found after browsing the English and Chinese data websites. Following screening, data synthesis techniques and the remaining eight publications were located. Results: This study contained eight publications, including network pharmacology investigations on the mechanisms of action of eight prescription TCM medications. Many prescription drugs and specialty treatments from traditional Chinese medicine, including astragalus membranaceus-atractylodes rhizoma, LHQW, TJQWG, ephedra and glycyrrhiza, Yinqiao powder, rhizoma polygonati, MXSGD, and HSBDF, have been utilized in the clinical treatment of COVID-19. Their primary modes of action entail several components working on many targets and pathways related to immune modulation, organ protection, antiviral, and anti-inflammatory properties. Conclusion: This study reviewed eight Chinese herbal formulas used for treating COVID-19 and found they all contain quercetin, a compound that may reduce lung damage, and target at least one of TNF, IL-2, or IL-6, potentially decreasing inflammation and boosting immunity. All these traditional Chinese medicine (TCM) treatments were effective against COVID-19, offering valuable insights and inspiration for future drug research.
Evaluation Study of a New Insurance Model for Extreme Weather
Authors: Deng Haoqian , Huang Xiaoyang
Published: July 2024

With the impact of climate change, extreme weather and natural disasters occur frequently around the world, which brings great challenges and pressure to the insurance industry. This paper focuses on how to establish a new insurance model adapted to different regions and types of disasters to assist insurance companies on the basis of catastrophe modeling and proposes to construct a value assessment model. This paper discusses how to assess catastrophe insurance risks in different regions to help insurance companies make decisions. In this study, disaster-related data of 146 countries and regions around the world were collected. The probability of occurrence of natural disasters is modeled using Poisson distribution, and the excellent rate of the loss ratio coefficient reaches above 0.9. The disaster insurance risk assessment (DIRA) model is established and risk factors are introduced to solve the problem. Taking storm disasters in the United States and earthquake disasters in China as examples, we found that under the critical value of 20%, insurance companies can provide insurance if the risk factor is greater than the critical value.
Analysis and Research of Engineers' Professional Ethics Under the Trend of Social Green Development
Authors: Hu Yunning , Tian Yuting
Published: July 2024

At present, with the development of society, environmental damage is more serious, so green development is advocated and pursued by all walks of life, its essential requirement is to achieve harmony between man and nature, mutual benefit. At the stage of social development where engineering activities are more active, many projects have destroyed natural resources in the process of practice, only emphasizing their own engineering efficiency, but not taking into account the sustainable development of society and the environment, ignoring green development. As the main body of engineering activities, engineers play a vital role. Therefore, whether the professional ethics of engineers are consistent with the concept of green development advocated by today's society determines whether the project can contribute to the green and sustainable development of society. Therefore, this paper focuses on how to effectively and deeply integrate the professional ethics of today's engineers with the reality of the current social green development from the aspects of engineers' sense of responsibility, the overall education level of ethics and third-party supervision.
Research on the Prediction of Tennis Match Momentum Based on BP Neural Network and Linear Regression Analysis
Authors: Guo Jiaqi , Zhang Jianju , Wang Zhong , Zheng Xingrong , Xie Kaiqiang
Published: July 2024

This study conducted an in-depth analysis of the momentum shift phenomenon during the men's singles matches at the 2023 Wimbledon Open, with the aim of quantifying momentum changes and their impact on match outcomes through a comprehensive data analysis framework that incorporates multivariate statistical methods such as BP neural networks, principal component analysis (PCA), entropy weighting analysis, and multivariate linear regression. The model, after sensitivity analysis and quantification through player rankings, is capable of predicting momentum shifts during a match and providing athletes with strategic adjustments. Additionally, the model's generalization ability was validated, demonstrating its potential applicability across various competitions, courts, and sports. The research outcomes not only offer coaches and athletes strategies for momentum shifts but also highlight the model's broad potential for application in sports match analysis.
Applying Production-Oriented Approach to Promote Students’ English Core Competence
Authors: Cai Yuchen
Published: July 2024

English teaching in senior high school aims at comprehensively improving students’ English Comprehensive Competence and promoting the development of students’ Core Competence. However, according to the high school English teaching practice at present, the problem of separation between learning and usage is very serious, and students’ reading and writing abilities have not been effectively improved. In 2015, Professor Wen Qiufang put forward a foreign language teaching theory with Chinese characteristics -- the Production-Oriented Approach (POA). To a certain extent, this approach can be used to guide English teaching practice in senior high school to solve the problem of separation between learning and usage. Therefore, this paper will first introduce the POA, and then elaborate the specific application of it in senior English teaching, looking forward to effectively improving students’ reading and writing abilities and developing their Core Competence.
Research on PVDF-based Pressure Sensing Materials for E-skin Systems
Authors: Peng Yunxuan , Wang Xingan , Zhao Zunyu
Published: July 2024

With the fast growth of wearable and portable devices, flexible piezoelectric sensors with long life, small size and light weight have become the focus of attention. Polyvinylidene fluoride-based composites are regarded as promising materials, but they also have drawbacks such as poor electrical properties and low piezoelectric constants. In this article, methods to improve the piezoelectric properties of PVDF films are investigated, and its results show that doping graphene oxide, barium titanate and other materials in PVDF films can effectively improve beta-phase crystallinity of PVDF. And this approach improves its piezoelectric properties. On the other hand, the percentage of β-phase in the structure of the PVDF film can be effectively improved and the effective strain, by changing the molding environment of the PVDF films. This will be of great significance for the future development of medical devices, the automotive industry and aerospace.
Research on Blood Cell Detection Algorithm Based on Improved YOLOv7
Authors: Wang Yaxuan , Zhao Cun , Zhu Zaichao , Jia Jian
Published: July 2024

In the biomedical field, the detection of blood cells in microscopic images is crucial for assisting physicians in diagnosing blood-related diseases and plays a significant role in promoting the development of medicine towards more precise and efficient treatments. Traditional manual detection methods are time-consuming and prone to errors, and existing blood cell detection technologies face significant challenges in meeting the requirements of high precision and real-time performance. In light of this, this paper, from the perspective of image recognition and with the aid of deep learning, proposes an efficient and rapid detection model based on YOLOv7. Firstly, in order to further extract global features, this paper selects the advanced Vision Transformer module to be added to the backbone network. Then, the convolutional layer of the SPPCSPC layer in the YOLOv7 backbone network is replaced with a parameterized convolution, thus avoiding the shortcoming of traditional static convolutions where all samples share one convolution kernel. To directly add the global feature information learned in the small-scale feature layer to the maximum-scale feature layer, this paper adds an upsampling module between the minimum-scale feature layer and the maximum-scale feature layer. By using the SIoU loss function instead of the CIoU loss function, the convergence speed is further accelerated, and the precision is improved. Secondly, the experimental results validate the effectiveness of the improved YOLOv7 model. Compared to the results of YOLOv7, the mAP@0.5 value of this paper’s model has increased by 3.4% compared to the original YOLOv7, by 0.7% compared to the YOLOv5x with a larger number of parameters, and by 0.3% compared to the currently best-performing open-source model in this dataset-CST-YOLO.
Self-assembly of a Biocompatible Prodrug with High Drug Loading Content for the Antitumor Therapy
Authors: Wen Xin
Published: July 2024

Endosomal pH-responsive micellar nanoparticles were prepared by self-assembly of amphiphilic polyethylene glycol-Schiff base bond-doxorubicin (PEG-Schiff-DOX) prodrug prodrugs, and free DOX can be encapsulated within the hydrophobic cores of the nanoparticles. These nanoparticles exhibited excellent storage stability under normal conditions for more than a week but were rapidly disassembled in a slightly acidic environment. The DOX loading within the nanoparticle can be up to 61%. The CCK-8 assay showed that the nanoparticles exhibited better antitumor activity against HeLa cells than free DOX. Consequently, we are optimistic about the potential of these prodrug-based nanomedicines in developing translational DOX formulations for cancer treatment.
Correction of Gravitational Acceleration at High Altitude and Low Pressure and the Application in Weighing
Authors: Jin Shuangming , Pang Liang , Shen Heping
Published: July 2024

Earth gravity field data is the basic data and strategic data of a country. The accurate measurement of Earth gravity field is of great scientific significance to the fields of metrology, earthquake prevention and disaster reduction, surveying and mapping, geodynamics and so on. It is of great strategic significance to the fields of Marine science, resource exploration and national security. China has a vast territory and diverse landforms. From the southeast coast to the Qinghai-Tibet Plateau, the elevation difference is more than 5,000 meters, and the elevation difference in a small range is small, and the acceleration of gravity can also be ignored. However, when the altitude difference is large, the change of acceleration of gravity will have a great impact on high-precision measurement. The effect of gravity acceleration in low altitude area and Lhasa under high altitude and low-pressure environment on the weighing instrument is compared and analyzed, and the correction method of altitude on the weighing instrument is proposed.
Design of moving object detection algorithm based on RoboMaster
Authors: Liu Shugang , Zhang Yonghang , Dong Xuyang
Published: July 2024

RoboMaster is a global high-level robot competition, in which the vision system of infantry robot is studied in this paper. In complex environment, the existing vision detection algorithms have some problems, such as unstable recognition, low detection accuracy and long running time. The improvement and optimization of the algorithm are as follows: image quality detection is carried out when brightness is bright or brightness is abnormal; gamma transform is used in the pre-processing process; maximum class difference method is used in image segmentation; SVM algorithm is used to train the selection of light strips; directional gradient histogram is used to extract features; and PNP algorithm is used to calculate the single-visual distance measurement and camera attitude. The experimental results show that the vision detection algorithm designed in the complex scene can realize the recognition of moving objects.
Discriminant Analysis of Soil Type by Laser Induced Breakdown Spectroscopy Combined with GA-BP Neural Network
Authors: Li Ziyan
Published: July 2024

Laser induced breakdown spectroscopy (LIBS) and genetic algorithm (GA) were used to optimize the neural network for classification and identification of six kinds of crop soils. Through laser-induced breakdown of soil surface to produce plasma spectrum, 100 sets of spectral data of each soil were collected by spectrometer, and the main element characteristic spectral lines were accurately calibrated with NIST atomic spectrum database as reference. In the experiment, six characteristic spectral lines are selected for analysis. After the dimension of spectral data is reduced by principal component analysis (PCA), the recognition efficiency of BP neural network is greatly improved, and the average recognition accuracy is as high as 99.5%. The study of LIBS technology and BP neural network can provide reference for finding suitable soil for crop planting.
Middle Management of Zlts An Empirical Study of The Relationship Between Pay-For-Performance Intensity and Work Engagement
Authors: Shi Yanping , Kong Linghao
Published: July 2024

The purpose of this study is to investigate the relationship between pay-for-performance intensity and work engagement among middle managers in zlts company. Through an empirical study of middle managers in this company, we hope to identify the positive or negative relationship between pay for performance intensity and work engagement and further analyse the factors that influence this relationship. This study adopts a quantitative research method by collecting relevant data and statistically analysing them in order to verify the relationship between pay-for-performance intensity and work commitment. The subjects of the study are middle managers of zlts company, who have important responsibilities and authority in the company and contribute to the company's performance. The results of the study show that there is a certain positive relationship between performance pay intensity and work engagement in zlts companies. That is, the higher the intensity of performance pay, the greater the work engagement of middle managers. This may be due to the fact that high performance pay provides incentives to motivate managers to put more effort into their work in order to achieve better performance. In addition, we identified a number of factors that influence the relationship between pay-for-performance intensity and work engagement. Among these, factors such as company culture, leadership style, and work environment may have an impact on this relationship. For example, middle managers are more likely to show better work engagement if the company focuses on rewarding performance and providing a good work environment and incentive system. The results of this study have important implications for human resource management in zlts company. By understanding the relationship between pay-for-performance intensity and work engagement, the company can better design incentive systems and management strategies to promote work engagement and performance improvement among middle managers.
Wagner's Leitmotif Technique in 20th Century Chinese Opera: A Case Study of "The White-Haired Girl"
Authors: Liu Shuling
Published: July 2024

"The White-Haired Girl" stands as a classic in Chinese opera, garnering widespread attention for its profound themes, unique national style, and distinctive era-specific backdrop. Academic research on "The White-Haired Girl" often focuses on its cultural significance, artistic features, and its status in the history of Chinese opera development. However, there is a scarcity of studies examining the work from the perspective of the application of Wagner's leitmotif technique. Wagner's operatic ideas and his leitmotif technique set new standards for the integration of opera music and drama, significantly influencing the development of later operas. How "The White-Haired Girl" employs similar techniques, and the effects thereof is a question worth exploring. An in-depth analysis of the musical composition of "The White-Haired Girl" reveals Wagnerian influences in the combination of music and drama and the use of leading motifs. The development of its musical themes and symphonic concepts aligns with Wagner's artistic vision, particularly in the use of leitmotifs, which not only reflect the psychological states of the characters and the dramatic emotional shifts but also drive the plot forward. As an important means of integrating music and drama, the application of leitmotif technique in "The White-Haired Girl" demonstrates how Chinese opera creators have combined Western operatic techniques with Chinese cultural elements to create an opera art form with distinctive Chinese characteristics.
A Study of The Mutual Influence Between Relationship Marketing and Customer Loyalty
Authors: Chen Yaohui
Published: July 2024

The article analyzes the mutual influence relationship between relationship marketing and customer loyalty, and points out that enterprises can effectively enhance the emotional connection with customers through personalized service, regular communication, and establishment of membership system and other strategies to improve customer satisfaction and loyalty. The article also emphasizes the important role of customer loyalty in promoting word-of-mouth communication, business growth and profitability. In discussing future trends and challenges, the article points out that digitalization trends, cross-border cooperation, and the diversification and personalization of consumer needs will have a profound impact on corporate relationship marketing and customer loyalty management. The article discusses how companies should adapt to market changes and enhance relationship marketing and customer loyalty, and proposes strategies that include continuous innovation of products and services, strengthening interaction and communication with customers, maintaining brand image, and establishing long-term and stable relationships. These strategies will help enterprises maintain competitiveness and realize sustainable development in the changing market environment.
Implications Of ESG Rating for Sustainable Development
Authors: Jiao Yilin
Published: July 2024

This study discusses environmental, social, and governance (ESG) rating and the implications of its divergence. Generally, a company's financial performance is positively impacted by a high ESG rating. However, the phenomenon of ESG divergence brought about by different ESG rating approaches has implications for multiple parties. In the analysis, on the one hand, many investors are positive about ESG rating differences because it highlights the complexity of ESG analysis. On the other hand, investors will obtain detailed information and data from a wide range of ratings to more fully understand the root causes of conflict. In addition, different countries and regions have different approaches to dealing with ESG rating discrepancies. This paper suggests that establishing a uniform measure of sustainable economic activity through legal policies is more beneficial in reducing ESG rating divergences.
Digital Inclusive Finance and Financing Constraints - A Study Based on Manufacturing Industry
Authors: Li Si , Huang Zhe , Liu Jinxin
Published: July 2024

As an important part of China's economy, manufacturing firms have a fundamental impact on promoting high-quality economic growth. Digital inclusive finance is developing rapidly with its characteristics of digitization and other features, which is expected to alleviate the financing constraints of manufacturing firms. This paper selects manufacturing enterprises from 2011 to 2022 as the research object, and empirically examines the role and influence mechanism of digital inclusive finance on the financing constraints of manufacturing enterprises.The findings from the study indicate that there exists a substantial inverse relationship between digital inclusive finance and the financial limitations faced by manufacturers.In particular, the digital inclusive finance index has a more important negative relationship with financing constraints for enterprises with a high average age of management and high digitization level. In addition, digital inclusive finance can also reduce firms' financing constraints by breaking information asymmetry and reducing firms' leverage.
ACM Research's ESG Information Disclosure and Its Impact on Corporate Performance
Authors: Zhang Qianmeng
Published: July 2024

Effective environmental, social, and governance (ESG) disclosure and its rating can promote the sustainable development of enterprises and improve financial performance. The semiconductor equipment manufacturing industry is one of the most promising industries in China, and the ACM Research (Shanghai), Inc (ACM Research) is one of the most iconic companies in this industry. The article takes ACM Research as a research case and analyzes the company’s ESG performance from 2022 to 2023. It then investigates whether the ESG performance of ACM Research has a positive impact on corporate financial performance, in order to provide suggestions for the improvement of ESG disclosure among related enterprises in the same industry.
Research On the Housing Problems of New Residents and Youth in First-Tier Cities and Exploration of Countermeasures--Based on Shenzhen, China
Authors: Rao Yulan
Published: July 2024

The housing problem is related to the happiness of the country and the well-being of the people, which plays an important role in citizens’ life, but in many big cities in China, such as Guangzhou, Shenzhen, Shanghai and Beijing, the price of housing is extremely high, so that many residents do not have enough financial ability to afford. This paper focuses on the housing problems of new residents and young people in Shenzhen, one of the four first-tier cities in China: high prices, poor rental system and insufficient land supply, analyzes the necessity and importance of the study, and gives four major suggestions from the government's macroscopic point of view: insisting on rejecting property speculation, perfecting the rental system, giving full play to the role of the housing fund and encouraging diversified housing supply. It is hoped that the housing problems of new residents and young people in big cities can be alleviated.
Civic and Political Integration in Accounting Courses Professional Teaching and Value Leadership in Parallel
Authors: Zeng Yinfang , Guo Size , Zhuang Zhipeng
Published: July 2024

In order to develop accounting talent with integrity and competence in line with the developments of the new era, it is necessary to integrate civic and political elements into professional education. This paper is about the integration of accounting courses and civic education. The core values of socialism with Chinese characteristics are taken as the reference point, and civic-political elements are integrated into two major learning outcomes of the course based on the accounting curriculum and the teaching team. At the same time, a digital accounting teaching platform is constructed to collect the experiences before, during and after the teaching process, so as to provide realistic references for the cultivation of both moral and talented new era talents.
Brand Analysis of Stanley and How It Became Popular
Authors: Qi Yuanhao
Published: July 2024

Breaking the daily rules and building a new lifestyle has always been the value of the American thermos cup brand STANLEY. Since founder William Stanley invented the stainless-steel vacuum flask in 1913, STANLEY has truly changed people's lifestyles. STANLEY has gone through many stages in the past 100 years of development, from the initial use of military thermos cups to no one paying attention. In recent years, through a chance opportunity from the self-media, it has come back into the public eye. This report investigates the market and brand analysis of STANLEY over the past century through literature review. Through investigation, it is found that the success of STANLEY mainly depends on the chance of the current Internet media and the excellent quality products of STANLEY. STANLEY can promote marketing in the future through the integrate a professional brand communication team, omni channel layout and focus, and strengthening then cooperation with other brands.
An Investing Method That Combined ESG Factor and Modern Portfolio Theory
Authors: Pan Xinyi
Published: July 2024

Investors use diverse portfolio theories to guide their decisions. These days, many businesses and investors prioritise sustainable growth and profitability. To compute a portfolio and obtain the highest Sharpe Ratio, the author employed the MPT and Sharpe Ratio theories during the study process. This essay introduces the clear ESG criteria and standards in the first part, then proves that ESG is essential nowadays. Secondly, this essay presents the portfolio theory and methodology used during the research process, along with formulas and explanations. A sample and a detailed introduction to the ESG companies are also provided. Then, this essay presents the financial performance of each stock and portfolio. The specific calculating process of the portfolio is demonstrated, and the return and risk are exhibited. The findings of this study will give investors precise instructions on how to construct portfolios that maximise return per risk while satisfying ESG requirements.
Analysis Of the Application and Research Status of Key Technologies for Autonomous Positioning and Route Planning of Agricultural Machinery
Authors: Liu Yongzhe
Published: July 2024

Technologies such as route planning and autonomous positioning have been widely used in assisted driving and self-driving of the equipment like automobiles, construction machinery, and drones. At the same time, as agricultural machinery develops towards intelligence and unmanned operation, there is a rapid development in self-driving technologies of agricultural machinery in recent years. At present, autonomous positioning method used by self-driving agricultural machinery is mainly high accuracy satellite navigation system. However, the hardware costs of this method are relatively higher and this method relies heavily on good satellite signals, which limit its market promotion to a certain degree. As a result, navigation method that has high efficiency, low costs, and stable workability in harsh environments becomes the key to popularize self-driving technologies on agricultural machinery. Nowadays, as the costs of sensors such as binocular camera continue to decrease, methods like visual navigation and inertial navigation attract more and more attention, technologies in artificial intelligence such as machine learning and image processing also start to become efficient tools for self-positioning. This article mainly introduces the present situation and key technologies researches of autonomous positioning and route planning of agricultural machinery in recent years and discusses the future trend of self-driving agricultural machinery.
The Therapeutic Effect of Mediterranean Diet Pattern on Overweight/obese Patients with PCOS
Authors: Chen Huijin
Published: July 2024

Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of childbearing age, and nearly half of women with PCOS exhibit overweight or obesity. The vicious cycle of hyperandrogenemia (HA), insulin resistance, and obesity symptoms in overweight/obese PCOS patients seriously affects their physical and mental health. Mediterranean diet (MD), as one of the healthy dietary patterns, is gradually attracting attention. After a comprehensive analysis of the therapeutic effects and current research progress of the MD on overweight/obese PCOS patients, this article found that the MD pattern uses foods such as soybeans, fish, olive oil, almonds, walnuts, etc. to regulate various physical and chemical factors in the body and improve the related symptoms associated with PCOS patients. At the same time, it is proved that MD mode can reduce the long-term disease risk of PCOS such as cardio cerebrovascular disease, type 2 diabetes (T2D) and fatty liver to a certain extent. In addition to single use, the lifestyle intervention of MD combined with physical exercise can also improve the therapeutic effect. However, there are still limitations in the application and research progress of the MD model in China, and further exploration is needed to choose personalized dietary models.
New Productive Forces Boosting High-Quality Development: A Theoretical Analysis from the Perspective of Fiscal and Tax Policies
Authors: Bian Ce
Published: July 2024

One of the main issues discussed during China's "Two Sessions" is how to utilize new productive forces to drive high-quality development. Since enhancing new productive forces inherently involves improving total factor productivity, this paper analyzes from the perspective of fiscal and tax policies, discussing how total factor productivity can boost high-quality development. The theoretical logic of fiscal and tax policies driving new productive forces is mainly reflected in promoting the efficiency of capital allocation and corporate innovation. Through structural reforms of fiscal and tax policies, it promotes the benign development of capital allocation efficiency and technological innovation. In terms of policy tools, targeting digitalization and intelligence, tax incentives are used to encourage corporate technological innovation and achieve industrial intelligence. At the same time, fiscal subsidies are used to enhance the ability of enterprises to transform scientific and technological achievements, promoting the rapid development of new industries and new models. Therefore, the future focus of fiscal and tax policies will be on promoting the integration of innovation chains and industrial chains, driving the development of new industries and new models, and providing a strong policy and material foundation for new productive forces to boost high-quality development.
Research On Financial Digital Transformationpath of Logistics Industry Empowered By RPA
Authors: Zhang Ziling
Published: July 2024

With the rapid development of information technology, the application of RPA technology in finance has laid the foundation for the financial digital transformation of logistics industry to adapt to the market demand. At present, the logistics industry generally realizes digitalization, strengthening the application and innovation of various digital technologies in the core business process, and promoting the transformation of digitalization, intelligence and automation is an inevitable trend of the logistics industry. This paper aims to study how RPA empowers the financial digital transformation of logistics industry and how to bring benefits to the logistics industry. Firstly, according to the application of RPA, the current situation of logistics industry is analyzed; Secondly, through the case analysis two domestic and foreign logistics enterprises, this paper discusses how to realize the financial digital transformation in logistics industry. Finally, two financial indicators are used to analyze how RPA can reduce cost and increase efficiency for the logistics industry. In addition, it summarizes the risks and impacts of financial digital transformation in logistics industry.
Research on Tool Detection Algorithm based on YOLOv8 Improved Model
Authors: Qi Wanpeng
Published: July 2024

With the continuous improvement of people's living standards, the public's awareness of protecting the right to life safety has become increasingly important, and higher requirements have been put forward for the prevention of public safety. Controlled cutting tools are a part of cutting tools, which are controlled and managed by law to prevent criminals from using them as weapons for illegal activities. To prevent criminals from committing crimes in places with high population mobility, such as subways, campuses, airports, and other enclosed areas with high population mobility. This article proposes a controlled tool detection algorithm based on the improved YOLOv8 model to improve the detection accuracy and efficiency of controlled tools. After experiments, SE attention mechanism was added to the original YOLOv8 algorithm model, and the loss function SIOU was added to the YOLOv8 algorithm. The improved mAP increased from the initial 80.8% to the improved 85%, an increase of 4.2%. This provides a certain reference value for future algorithm models for identifying controlled tools.
Involvement Challenges of Applying Co-Design Methods in Mental Health Care for Older People
Authors: Chen Huiyi
Published: July 2024

Mental health care for older persons is a common issue in developed countries. Although most elderly are aware of multiple technologies that support mental health, mere understanding does not motivate them to use them. In the last 20 years, a widespread approach has been to provide a mental health care strategy, especially for the elderly by developing a co-design mental wellness method for them. Such a co-design method is related to collaborating with multiple tasks and various co-work stages with both older people and stakeholders. However, existing literature lacks sufficient research on the impact of co-designed technologies on health and well-being, particularly in terms of implementation challenges, engagement strategies, and social adaptation. In this critical literature review, this essay will introduce the current co-design implementation on mental healthcare of older people. Then it explores the barriers to engaging with the relative stakeholders participating in co-design projects. Finally, according to the current mental wellness tool, this essay will discuss its potential effects on psychological enrichment for older people. The conclusion is that the codesign field nowadays has produced several tools and design methods for older people's mental health in the second year of their lives that facilitate their deep engagement. This co-design approach continues to iterate to be more balanced and attentive to older people's voices in the design field.
The Influence of CEO's Anger on Investors' Group Decision-Making
Authors: Qiu Lingrong
Published: July 2024

Under the background of economic globalization, information spreads more widely and changes faster, and the decision-making factors considered by investors are becoming more and more abundant. In addition to traditional linguistic information such as market-related indexes, the nonverbal information of company management has attracted more and more attention from investors. Facial emotion, as a highly personalized decision-making factor, affects information dissemination and investor decision-making from the social effect level of emotion and then affects market performance. However, there is still a lack of accurate classification and closed-loop explanation for the specific expressions in the existing research. Therefore, this paper makes a regression analysis by collecting the existing domestic and foreign literature and foreign-specific market data and studies the related influence of chief executive officer (CEO) anger on investor group decision-making. Furthermore, it is convenient to discuss the nature of facial emotions, individual differences in management, and the influence of the market environment on investors' decision-making, which will be an important proposition in the analysis of factors affecting decision-making in a business environment.