bluuebunny/crossref_metadata_2025 huggingface dataset:
Green Building Design Method and Green Material Application
Authors: Chen Siyu
Published: July 2024

In the context of global carbon emission reduction and low-carbon economic development, green building is a key measure to solve environmental problems. Through the application of green building design methods and green materials, the sustainable development of the construction industry has been significantly promoted. Green buildings aim to improve living comfort by saving energy, reducing emissions and using environmentally friendly materials, while minimizing environmental impact. The study covers all aspects of roof design, energy saving technologies, insulation measures, greening measures and the development of renewable materials, highlighting the importance of technological innovation, policy support and public awareness in the face of challenges such as high initial costs and technical barriers. Green buildings not only improve indoor and outdoor environmental quality, but also have long-term economic benefits, especially in promoting public environmental awareness and promoting green technologies. This research provides a theoretical and practical basis for promoting greener, environmentally friendly and sustainable approaches to building design and construction.
Short-term Passenger Flow Prediction of Metro based on ARIMA and LSTM Models
Authors: Fan Wushuang
Published: July 2024

The essay studies the comparative effectiveness of ARIMA and LSTM models in predicting passenger loads in metro systems, emphasizing the Beijing metro as a case study. It has been argued that accuracy is essential when it comes to forecasting passenger flows, which will, in turn, enhance the efficiency of urban mass transit systems and promote a comfortable and preferable traveling experience for the passengers. The article meticulously dissects and compares the techniques proposed in this paper in a detailed fashion by revealing each of their strengths and weaknesses and historical passenger load numbers. The techniques are illustrated using data from the AFC system of the Beijing Metro, focusing particularly on Wangfujing Station for its tremendously high passenger flow. The effectiveness of these techniques is shown on a variety of evaluation metrics, including mean squared error (MSE), mean absolute error (MAE), root mean squared error (RMSE), and R². It is found that the ARIMA model is better suited to capture shorter intervals (2 minutes) because of its lower error rates and that it leads to greater clarity in longer intervals (5 minutes) despite having higher error rates. This research contributes to the broader field of intelligent transportation systems by providing insights into the effective application of predictive modeling techniques for enhancing metro system operations.
The Global Financial Crisis and the Role of Monetary Policy
Authors: Chen Zhehan
Published: July 2024

This paper investigates the significant influence of monetary policy on the global financial crisis, examining its effects on various economic downturns. Focusing on pivotal events such as the Great Depression of 1929, the stagflation of the 1970s, the financial crisis of 2008, and the COVID-19 pandemic, it analyzes the aftermath of each crisis and the corresponding monetary policies adopted. Through this examination, this paper underscores the intricate relationship between monetary policy and economic stability, shedding light on how policy decisions can either alleviate or worsen financial crises. By emphasizing the complexity and importance of monetary policy in navigating through economic turbulence, it underscores the necessity for prudent and well-considered policy measures to safeguard against future crises. This exploration underscores the critical role of monetary policy in shaping the trajectory of economies during periods of crisis and underscores the imperative for policymakers to adopt measures that promote stability and resilience in the face of uncertainty.
Tennis Match Prediction Based on Wavelet-BP Neural Network Model
Authors: Shi Yikun
Published: July 2024

In sports, assessing a player's performance during a match and the impact of momentum on the outcome of the match are key issues, but are often difficult to measure accurately. In this study, we first preprocessed the match data into serve and non-serve data and then developed a Wavelet-BP neural network model to analyze the player's performance at specific times of the match. It was finally obtained that Carlos Alcaraz performed best in the interval between [2500,5000] and [7000,8000] (s) of the match, and performed poorly after 10000 seconds. Meanwhile, by quantifying the momentum into indicators such as winning streak and whether to serve or not, and verifying its correlation with the match results by chi-square test, the results show that momentum has a significant effect on the match results. This study provides a new method to assess players' performance in a match and quantify the effect of momentum on the match outcome. This is important for improving tactical strategies in sports competitions, enhancing team competitiveness, and increasing the spectacle of the game.
Key Technologies and Challenges of Memory Resistors and Brain like Chips in Improving Computing Power
Authors: Wang Wenhan
Published: July 2024

This article explores the cutting-edge applications of brain like chips and memristors in the fields of artificial intelligence and computer science. Brain like chips, imitating the computational model of brain neural networks, provide new hardware support for machine learning and deep learning with unique parallel processing capabilities and efficient energy consumption ratio. Memristors, as an emerging type of non-volatile memory, have great potential in information storage and processing as resistance can change with changes in passing current and voltage. This article first outlines the basic principles and characteristics of brain like chips and memristors, then analyzes application prospects in the fields of computational science and neuroscience, and finally discusses the current challenges and future development trends. This article aims to provide a comprehensive perspective on the latest developments in brain like chips and memristors for researchers in related fields, and promote the deep integration and application of these two technologies in the field of artificial intelligence.
Design and Strength Check of an Automatic Pneumatic Elevator
Authors: Zhou Changlin , Zhang Junming , Luo Wei , Huang Tao , Yang Lei , Song Tao , Liu Rui , Luo Xiaolin , Yuan Ye
Published: July 2024

The pneumatic elevator is used to replace the manual grabbing and releasing of the tubing, which solves the problems of complicated, easy leakage and the high environmental requirements of the traditional hydraulic elevator. The advantages of the sling are the use of an air pressure drive, remote control, improved safety, and the fact that it can be used in harsh environments. Through the finite element strength analysis, the material of the main bearing parts of the pneumatic elevator is calculated to meet the strength requirements. Through continuous functional testing and load testing, the correctness of the finite element analysis of the pneumatic elevator is verified. The functions of the pneumatic elevator operate normally, and the overall bearing operation is stable, safe, and reliable. The data show that the pneumatic elevator meets the design requirements.
Research on the Development of Insurance Industry Based on ARIMA Time Series Model
Authors: Li Xinyu , Zhao Xinyu , Zheng Jiayin
Published: July 2024

In recent years, the probability of extreme weather events occurring globally has been increasing, posing a threat to human life and property and presenting significant challenges to the insurance industry. Insurance serves as an important pillar of societal stability by reducing the risk borne by policyholders, therefore achieving sustainable development in the insurance sector is an urgent issue to address. This article focuses on studying insurance models and protection measures for insurance companies and regions, an analysis of the time series of loss amounts caused by extreme weather reveals an irregular pattern. Therefore, an ARIMA time series model is employed for prediction, and a random forest model is used to fit the insurance claim amounts. The model is validated with a coefficient of determination of 0.954745, indicating a good fit. By consid-ering premium income and insurance claim amounts, a profitability calculation formula is derived, which can further determine whether an insurance company should provide coverage in a specific region. Using entropy weight method to determine the weights of various attributes in multi-attribute decision-making process. Then calculate the risk score for each region and divide the risk score into three categories: low, medium, and high. A three-dimensional scatter plot of the amount, longitude, and latitude of property damage was constructed to more accurately determine whether construction should be carried out in each area. Finally, based on this analysis process, reasonable construction strategies were proposed.
Significance and Measures of Realizing Multiple Values of Engineering Projects
Authors: Zhang Rui , Hu Yunning
Published: July 2024

In today's society, engineering projects should not only be aimed at achieving economic benefits, but also take into account their multifaceted impacts on the environment, society, and culture. Many scholars have conducted long-term research on the multifaceted value of engineering projects and achieved certain results, but few have proposed a comprehensive discussion on the multiple values of engineering projects. Therefore, achieving the multiple values of engineering projects has become a top priority. This article will analyze and discuss the multiple values of engineering projects separately, explore the significance of their implementation, and provide different suggestions for realizing various values.
Integrating AI in Recruitment: A Review of Perceptions, Acceptance, Adoption and Ethical Considerations of AI Usage
Authors: Asif Asima
Published: July 2024

The utilization of artificial intelligence (AI) in recruitment has emerged as a transformative area in talent acquisition. This systematic literature review examines the state of knowledge on AI usage in recruitment from 2018 to 2023, excluding algorithmic and other technological aspects. 26 research articles were selected for the review, along with six review articles for comparison. The study makes significant contributions by synthesizing diverse findings, categorizing them into perceptions, acceptance criteria, adoption and ethical considerations, offering a comprehensive and structured analysis of AI’s implications in recruitment. This study lays the foundation for future empirical research to validate and expand on the present findings. It emphasizes the need for more quantitative studies to asses AI’s impact on recruitment and explores the potential for hybrid approaches combining AI and human judgement for enhanced fairness and effectiveness. The study also underscores the importance of ongoing exploration of ethical considerations and development of responsible AI usage guidelines in recruitment. Overall, this systematic literature review serves as a valuable resource for organizations seeking to implement AI recruitment while guiding future research to unlock the full potential of AI in talent acquisition.
Progress Of Gastrointestinal Neoplasms and Therapeutic Advances
Authors: Zhang Zhuowen
Published: July 2024

In recent times, there has been a notable rise in the incidence of gastrointestinal neoplasms due to changes in diet and lifestyle. When it comes to cancer-related deaths in males under 50, colorectal cancer ranks first, and in women, it is second. Gastric cancer and colorectal cancer are the two main types of intestinal neoplasms. Among East Asian populations, gastric cancer has the highest incidence rates. Studies reveal a critical role for gastrointestinal microecology in the development and course of gastrointestinal tumors. In addition to providing a brief overview of the pathophysiology and standard treatments for stomach tumors, this paper addresses the state of research regarding the connection between gastrointestinal microecology and immunological treatment of stomach tumors. The process by which gastric cancer develops is complex and involves variations in growth patterns, mucus separation, cellular structure, and genetic makeup. Microecological imbalances, genetic factors, and poor dietary practices are major causes of gastric cancer. Chemotherapy, surgery, radiation therapy, and targeted therapies are among the current treatment options. Immune checkpoint antagonists, combination immunotherapy, and adoptive immune-mediated cell therapy have all shown notable effectiveness in clinical practice. However, immunotherapy still faces obstacles from immune-related side effects and treatment resistance. Subsequent investigations will probe further into the correlation between gastrointestinal microecology and gastrointestinal tumors, presenting novel approaches to the management and avoidance of gastrointestinal neoplasms.
Teaching Design of Discussion-based Teaching Method in International Chinese Polysemy Teaching
Authors: Mao Xinyu
Published: July 2024

Polysemous words are words which are composed of many meanings related to each other. Different from homonyms, there is a complementary relationship between the meanings of polysemous words, and each sense is only applicable to its own specific context. Therefore, it is difficult for beginners to correctly choose the right meaning in the corresponding context, resulting in ambiguity and Chinese communication barriers. In order to carry out the teaching of polysemous words in international Chinese more pertinently, this paper takes the word "shenqian" as an example and carries out the teaching design combined with the discussion-based teaching method.
Research on the Status of China's International Education and Teacher Competence from a Global Perspective
Authors: Xiang Wenjing
Published: July 2024

From the perspective of internationalization and its development trend, international education is the product of The Times under the background of international mutual assistance and development, and the industry pattern and international curriculum of domestic international schools are gradually maturing. Under the background of international education, teachers should possess international competence, national feelings, international vision and cross-cultural communication ability. They should observe the world from a professional perspective, structure the world with professional thinking and reconstruct the world with professional methods.
The Impact of Parental Educational Involvement on Children's Education
Authors: Wei Wenxin , Wang Wei
Published: July 2024

Parental involvement in education plays a crucial role in the development of children, though its effectiveness often falls short of expectations. Numerous studies have shown that parental educational involvement is a complex model, with varying approaches leading to different outcomes. Therefore, recognizing effective parental involvement is essential for maximizing its positive impacts.
Workshop Layout Optimization Based on SLP and Genetic Algorithm
Authors: Chen Mengjia
Published: July 2024

In response to the existing problems in the layout of Company B's production workshop,the System Layout Design (SLP) method is used to obtain the logistics intensity and non logistics intensity between operating units in the workshop.Based on comprehensive correlation analysis,a position correlation map is drawn to obtain the initial layout of the workshop.In order to eliminate the drawbacks caused by human factors,genetic algorithms were used to optimize the initial layout,forming a more scientific and reasonable layout plan.The feasibility of the optimized layout was verified by comparing the handling distance and logistics intensity.
Explore the Teaching Design of English Listening and Speaking from the Perspective of Activity-based Approach
Authors: Wang Na
Published: July 2024

Teachers’ professional competence is the key to the effective implementation of the English curriculum and teaching reform. Teachers should profoundly understand and apply the principles specified in the English Curriculum Standards. The activity-based approach provides a powerful platform for integrating curriculum content, carrying out in-depth teaching, and fulfilling the overall goal of the curriculum (The Ministry of Education, 2020). Taking Section A 1a -2d, Unit 1 How Can We Become Good Learners? Grade 9, Go for it by People’s Education Press as an example, this study explores how to promote the development of students’ English subject core competencies in junior high school English listening and speaking class based on the concept of activity-based approach, aiming to provide practical enlightenment for activity-based English teaching in junior high school and useful data for theoretical research on activity-based approach.
The Shock Effect of International Oil Price Fluctuation on RMB Exchange Rate-Based on the stochastic version of MFD and SVAR models
Authors: Qian Yijia , You Yexuan , Zhou Xinyan
Published: July 2024

Oil is a basic energy source closely related to finance. With the rapid growth of China's oil consumption and the increasing dependence of China's oil on foreign countries, the impact of international oil price fluctuations on China's macroeconomy has become more and more prominent. Based on the stochastic version of the MFD model, this paper employs the SVAR structural vector autoregressive estimation method to measure the impact effect of international oil price volatility on the RMB exchange rate in the time period of January 2002-December 2022. The study shows that the movement of the RMB exchange rate is basically caused by its own perturbation, and the Granger causality test leads to the conclusion that there is no obvious causality between the international oil price and the RMB exchange rate. The study is of great significance for China to maintain the flexibility of the RMB exchange rate, to further play the role of the exchange rate in regulating the macroeconomy and the automatic stabilizer of the balance of payments, and to improve China's risk-resistant ability. Research on the effect of crude oil prices on currency exchange rate shocks emerged after the 1984 oil crisis.
Numerical simulation of detonator impact initiation of hollow cylindrical charges
Authors: Ma Guangsong , Xu Pengzhao , Zhao Yu , Li Ruicheng
Published: July 2024

In order to determine whether the hollow cylindrical charge can be fully detonated when the detonator is eccentrically detonated, the HyperMesh-LS-DYNA joint simulation method was used to numerically simulate the hollow cylindrical charge through the ignition growth equation. The simulation results show that when the detonator is eccentrically detonated, except for the surface layer of the hollow cylindrical charge, all other parts are fully detonated. The research results indicate that detonators can fully detonate cylindrical charges under eccentric detonation conditions.
Research on the Current Situation and Countermeasures for the Implementation of China's Minor Protection Laws
Authors: Chen Yutong
Published: July 2024

The purpose of this paper is to discuss the current situation of the implementation of China's minor protection law and the existing problems, and to propose corresponding countermeasures. First, the background of the protection of minors law, the purpose and significance of the study, as well as the research methodology and data sources are introduced. Second, the basic contents and principles of the law on the protection of minors are outlined, and its main features and innovations are analyzed. Then, the current situation of the implementation of the law on the protection of minors is analyzed from three levels: government, society and family, and problems are pointed out, such as insufficient implementation at the government level, insufficient participation at the social level, and backward educational concepts at the family level. Finally, in response to these problems, countermeasure suggestions are put forward to strengthen the government's enforcement efforts, improve the degree of social participation, and guide the updating of family concepts.
Port Throughput Forecast Based on ARIMA Model-Take Tianjin Port as an Example
Authors: Li Minda
Published: July 2024

Port throughput has long been a crucial metric for assessing the port's capability and even the region's development, so it is very important to forecast the port throughput. This article will use a larger data set than previous papers - 275 sets of data from Tianjin Port from 2001 to 2023 and conduct predictive analysis through the ARIMA model. The parameters of the model were established by ADF, PACF, and ACF, and the data were adjusted. The data can be effectively fitted by the ARIMA model according to the results. and it is also demonstrated that both the original data and the fitted data exhibit annual periodicity. Therefore, the author made further predictions for 12 periods of data and observed that it also exhibited a pattern of initial growth followed by decline, which is consistent with the trends in the shipping industry. The practical significance of this research is to improve port efficiency and achieve accelerated port development.
Intelligent Parking System based on Internet of Things
Authors: Liang Chanjuan , Zhang Zhao
Published: July 2024

With the development of urbanization, the number of car holdings is growing dramatically and the problem of parking difficulties is becoming more and more prominent. The irrational distribution of vehicles and parking measures in today's cities not only wastes limited road resources, but also brings great challenges to urban traffic management. Therefore, the demand for a smarter parking system is increasing to provide more convenient services and reduce the loss of human and material resources. The IoT-based intelligent parking system adds the functions of parking reservation and real-time detection to the original parking system, which realises the visualisation of parking information and makes it more obvious to see the real-time situation of the car park, thus making parking more convenient and quicker.
Research on Intelligent Navigation and Path Planning of Mobile Robot Based on RRT
Authors: Xiaer Ya , Shengjiang Ya
Published: July 2024

This study investigates the Rapidly-exploring Random Tree (RRT) algorithm's efficacy in mobile robot navigation, focusing on intelligent path planning amidst dynamic, high-dimensional environments. While RRT's foundational principles facilitate quick exploration of state spaces, its adaptability to evolving conditions and compatibility with advanced sensing technologies remain underexplored. This research delves into the RRT's core functionalities and extends its analysis to various enhanced iterations like RRT* and I-RRT*, showcasing their increased efficiency in real-world applications such as autonomous vehicle navigation and robotic manipulator path planning. The paper critically assesses the RRT's algorithmic structure, emphasizing its strategic growth in uncharted territories and its application in navigating through environments laden with static and dynamic obstacles. Through a series of case studies, the paper illustrates the algorithm's real-time responsiveness and its ability to synthesize with genetic algorithms and neural networks for optimal path determination. Prospects of the RRT algorithm are explored, suggesting its integration with AI and machine learning to augment path planning intelligence. The study posits that such integration will lead to more robust and adaptive navigational strategies, catering to the intricate demands of modern automated systems. Concluding, this research elucidates the RRT algorithm's current state, potential enhancements, and future trajectory, offering a pivotal reference for the development of more sophisticated autonomous navigation systems.
University Administrators’ Leadership Styles Affecting Instructors’ Job Satisfaction in a Technology University in China
Authors: Tian Cong
Published: July 2024

University administrators play a crucial role in shaping the university environment, influencing instructor performance, and ultimately impacting student outcomes. Their effective leadership is of paramount importance for the overall success and satisfaction of instructors. This study determined the relationship between the university administrators’ leadership styles and the instructors’ job satisfaction in a technology university in China. Profile of the instructors respondents, their assessment of university administrator’s leadership style, their job satisfaction level, differences in their assessment on university administrator’s leadership style and job satisfaction level when profile is taken as test factor, and the relationship between their assessment of university administrator’s leadership style and the job satisfaction level were also determined. The study examines the perception of university administrators' leadership styles, focusing on authoritative, democratic, facilitative and situational styles. The assessment of the administrator's leadership style reveals a favorable perception among instructor respondents, with facilitative leadership garnering the highest evaluation. In terms of job satisfaction, the instructor respondents reported a high level, and their assessment of job satisfaction highlights several areas of strength within the academic institution, including job security, community engagement, and the overall work environment. It is found that the administrator is viewed as striking a balance between providing direction and fostering collaboration, supporting faculty well-being, and adeptly navigating the complexities of the academic environment. The strong positive correlations between the assessment of leadership styles and job satisfaction levels highlight the critical role of leadership practices in shaping the working experiences and satisfaction levels of instructors within academic institutions. The findings of the study are used as a basis for a management development program among university administrators. It is suggested that academic institutions should prioritize leadership development initiatives and promote leadership styles that align with the needs and expectations of their faculty members to optimize job satisfaction and organizational performance.
The present situation, problems and countermeasures of small-scale Rural School Teachers in western China
Authors: Tan Qiuyan
Published: July 2024

In 2012, the State proposed to protect our rural small-scale schools. A hundred years of planning, education is the foundation; education is the foundation, teachers are the foundation. The key to the development of rural basic education is to establish a sufficient number of teachers with reasonable structure and high quality. The survey found that there are still many problems in the number, structure, economic treatment, teacher training and other aspects of the rural small-scale school teaching force in the western region. Combined with the current situation of rural areas in the western region, this study provides a comprehensive analysis of the current situation of the rural small-scale school teaching force and the causes of the problems, and discusses how to optimize the structure of the rural teaching force in the western region, improve the mechanism for allocating resources to rural teachers, increase the investment in rural education, and improve the effectiveness of teacher training, among other aspects.
Independent Directors' Opposition, Earnings Management and the Risk of Stock Price Crash
Authors: Ren Yida
Published: July 2024

In recent years, stock price crash events have occurred from time to time, resulting in the unstable operation of the capital market. The risk of stock price crash has drawn wide attention from all walks of life. This paper examines the data of A-share listed companies from 2007 to 2021 to study the impact of independent directors' dissenting opinions on the risk of stock price crash. The study found that the independent directors' dissenting opinions were negatively correlated with the risk of a stock price crash, and this conclusion was still valid after a series of robustness tests. The mechanism analysis shows that the independent directors' objection can exert the governance effect, restrain the abnormal related party transactions and earnings management behavior of the majority shareholders, and thus reduce the risk of corporate stock price crash. The above results are consistent with the logic that independent directors exert signaling and governance effects by expressing dissenting opinions to control the risk of stock price collapse. This conclusion has certain significance for preventing the risk of stock price collapse and promoting the stable development of capital market.
Study on the impact of ChatGPT on Accounting Revolution
Authors: Wang Ziqing
Published: July 2024

In recent years, artificial intelligence technology has been widely used in all walks of life. Digitization of Accounting is a new concept in the field of accounting, which aims to apply artificial intelligence technology to the collection, processing and analysis of accounting information. ChatGPT, a large-scale language model released in 2022, is the most advanced artificial intelligence technology at present and is predicted to be widely used in the field of accounting digitalization in the future. This article will explore the relevance of ChatGPT to the accounting revolution, including the rationale of ChatGPT, analysis of the application of ChatGPT in the accounting field, possible negative impacts, how to deal with such challenges, and the future direction of ChatGPT.
Research on the Experience and Improvement Countermeasures of Tibetan Incense Culture Helping Rural Tibetan New Roads
Authors: Zhang Han , Wang Haokai
Published: July 2024

Achieving common prosperity is the essential requirement of socialism, and in order to achieve common prosperity, rural revitalization is the necessary path, and its strong support cannot be separated from the revitalization of cultural industries in ethnic areas. Entering the new era, most people give more affirmation and support to the legitimacy of rural revitalization, and ethnic areas have achieved great development in the process of implementing the rural revitalization strategy. Taking Tumba Town, Nimu County, Lhasa City, Tibet Autonomous Region as an example, the series of results of the town's Tibetan incense culture contributing to the revitalization of the countryside have been widely reported by the People's Daily Online and other mainstream media, and the related exploratory experience and future directions have become the focus of attention of the Tibet Autonomous Region and even the whole country. The focus of attention of the Tibet Autonomous Region and even the whole country. However, it is undeniable that in the process of promoting the implementation of the rural revitalization strategy, Tunba Town inevitably faces the challenges of the cultural industry's lack of scale efficiency, traders' belittling of the brand effect, and the difficulty of balancing economic and social benefits. Based on this, on the basis of actual research, this paper proposes the integrated planning and development, the cohesion of scale efficiency to enhance the reputation of Tibetan incense cultural industry and other perfect measures, in order to promote the Tibetan incense cultural industry to help the long-term development of rural revitalization road.
The Application of 5E Instructional Model to English Reading Teaching in Senior High School
Authors: Zhang Yuqi
Published: July 2024

English reading skill is one of the basic language skills in senior high school students’ English learning, which plays an important role in cultivating students’ English subject core competencies. Different from the traditional English teaching mode, 5E instructional model emphasizes the subject position of students in teaching, consequently stimulating students’ reading interest and enhancing students’ reading level. Thus, the paper attempts to apply 5E instructional model to English reading teaching in senior high school, hoping to provide a new reference for teachers’ English reading teaching.
Current Status of Breeding of Avermectin-producing Bacteria
Authors: Ruan Manshi
Published: July 2024

Avilamycin, also known as Peomycin, is a product of ventilated fermentation of Streptomyces viridochromogene. The aim of this paper is to provide a comprehensive overview of the current status of breeding avilamycin-producing bacteria and to discuss in depth their physicochemical properties, breeding techniques, and future development directions and strategies. Modern biotechnological tools, such as gene editing and genomics analysis, were used to accelerate the breeding progress of avilamycin with a view to realizing further improvement in its yield and quality.
Analysis Of the Principle, Applications and Defects Of Z-Buffer Algorithm
Authors: Xu Muhan
Published: July 2024

Z-buffering, commonly known as depth buffering, is a fundamental algorithm in the realm of computer graphics used to carry out hidden surface removal. This algorithm is classified as an image-space approach, where visibility is determined individually for each pixel on the view plane. Owing to its simplicity, efficiency, and accuracy in rendering complex scenes, the Z-buffer algorithm has been widely employed in real-time graphics renders, e.g., in video games, virtual reality (VR) and 3-dimensional modelling software. This study presents a detailed analysis of the underlying principles of the algorithm, namely, comparing depth values at each pixel to decide which polygon obscures the rest. The next component of the study is dedicated to presenting the state-of-art applications of the Z-buffer algorithm, justifying its immense value add to various industries, such as the video game and animation industries. According to the analysis, this study will conclude with an analysis of the limitations of Z-buffer algorithm, presentencing the challenges and imperfections of the algorithm that afflict its practitioners hitherto, which shed light on guiding further investigations.
The Application and Mechanism of Monoclonal Antibodies in Diseases
Authors: Cao Qiuchen
Published: July 2024

Monoclonal antibodies (mAbs), as a kind of highly specific biological drugs, play an increasingly important role in the treatment and prevention of diseases. Monoclonal antibodies were invented in the 1970s and went through four stages of development to become fully humanized antibodies. The principle is to use cell fusion technology to fuse myeloma cells and B lymphocytes, and then use HAT culture medium to screen successfully fused hybridoma cells. The preparation process of mAbs is varied, and the required biotechnology (protein purification, ELISA, immunofluorescence) and equipment are complex. With the continuous progress of biotechnology, mAb has been widely used in many fields such as tumor, autoimmune disease and infectious disease. At present, there are many mAb drugs on the market for the treatment of various intractable diseases. In tumor therapy, mAbs can inhibit the growth and spread of tumor cells by targeting tumor cell surface antigens, and improve the therapeutic effect. In autoimmune diseases, mAb can target autoantigens, regulate the immune response, reduce symptoms, and improve the condition. In addition, mAbs also play an important role in the treatment of infectious diseases, such as neutralizing viruses, bacteria and other pathogens, preventing their infection of cells. The mechanism of mAbs, including binding to antigens, triggering signal transduction, endocytosis and degradation, and inducing immune response, is also introduced. There are also many binding sites where mAbs act on different diseases, such as PD-1, PD-L1, CD20, F and G surface proteins of RSV. MAb has excellent specificity and effectiveness, but it is expensive and has its own risks. With the continuous development and optimization of monoclonal antibody technology, its application prospect in the future disease treatment will be broader.
A Comparative Analysis of Investment Assets of Three High-tech Companies
Authors: Cui Kaihua
Published: July 2024

This essay provides an in-depth financial analysis of global high-tech leaders Dell, Apple, and Tesla with the aim of providing investors with effective investment strategies. Dell, Apple, and Tesla have some commonalities in their main businesses: hardware products, software and services, and retail and distribution. By examining the latest financial metrics of these companies, including interpretation of the data and analysis of asset selection challenges for different investor groups, the study uncovered a range of interesting findings. The study covers nine different investor profiles, including value, revenue, PEG, index, ratio analysis, DCF, Momentum, insider buying, and stock buyback investors. Using established financial models, the study find that index, momentum, insider buying, and share buyback investors are more inclined to choose the shares of these three companies. At the same time, ratio analysis and discounted cash flow (DCF) investors also show a preference for Apple. These findings provide valuable insights for developing personalized investment strategies aimed at optimizing financial returns in the high-tech sector. This study not only provides investors with practical decision-making tools, but also provides a new perspective for understanding the financial performance and attractiveness of high-tech companies.
Automatic driving technology based on SLAM technology
Authors: Wei Haoyu
Published: July 2024

The method known as simultaneous localization and mapping, or SLAM, is used to determine the movements of sensors in the surroundings as well as the 3D structure of an unidentified area. This method was first proposed in robotics to accomplish autonomous control of robots. Subsequently, SLAM-based applications have expanded significantly, including self-driving automobiles, augmented reality (AR)-based visualization, and computer vision-based online 3D modeling. Then, SLAM-based applications have expanded significantly, including self-driving automobiles, augmented reality (AR)-based visualization, and computer vision-based online 3D modeling. This paper synthesizes some other researchers' experimental process and conclusions, and discusses the practicability and feasibility of SLAM technology in automotive autonomous driving. It includes the introduction of SLAM technology, the application of SLAM technology in automobile autonomous driving and the shortcomings and solutions of SLAM technology. A large number of experimental research results have proved the feasibility of this technology for this field, which also means that SLAM technology can play a huge role in the field of automotive autonomous driving.
Unravelling the ESG Conundrum: Using Regression Analysis to Assess the True Performance Reflected by ESG
Authors: Chen Gong
Published: July 2024

This study mainly focuses on the financial performance of specific firms’ stocks in relation to ESG performance. Economic performance is represented by its stock value and other financial standards, including return on asset (ROA). The ESG performance is represented by ESG scores from Eikon Refinitiv. A linear regression analysis was done on the database to explore their correlation, including all the S&P500 stocks from 126 industries. The statistical evidence shows a negative, weak relationship between the return on assets and ESG performance with the control variable of the natural log of net assets. Further analysis focuses on the individual’s decision-making regarding investing. A linear regression testing the correlation of return rates based on different periods and ESG performance is done. The results show little relationship between the short-term return and ESG performance. This study implies that maintaining high ESG performance may result in higher costs, addressing the problem of whether individuals should care about the firm’s ESG performance when investing their money in the stock market. Real investment situations can be more complex and more challenging to determine. Therefore, the result of this study can serve as a reference for individual investors.
Research progress in cyclopeptide: anticancer mechanisms and targeted delivery systems
Authors: Tang Jie
Published: July 2024

Breast cancer is a serious health concern for women globally. Traditional therapies including surgery chemotherapy, radiotherapy and endocrine therapy can control breast cancer effectively, but their effectiveness is often hindered by drug resistance and side effects. Cyclopeptides, a class of biomolecules with a closed-loop structure, present a promising alternative due to their stability potency and specificity.This review delves into the mechanisms of cyclopeptides in breast cancer treatment, evaluating their effectiveness and challenges. And also discusses the studies concerning the anti-cancer activities and delivery systems of cyclopeptides such as cyclosporin A and deoxybouvardin (RA-V). Innovations in nanotechnology and targeted delivery systems further optimize cyclopeptide therapies, enhancing their efficiency and reducing side effects. Research suggests that cyclopeptides can effectively halt the proliferation and metastasis of breast cancer cells. They achieve this through various mechanisms, such as inhibiting key cancer pathways, inducing tumor cell apoptosis, and enhancing drug efficacy via targeted delivery systems. This review highlights the application of cyclopeptides in breast cancer treatment and discusses the targeted delivery technologies of cyclopeptides.
Research And Improvement of E-Commerce Shipment Prediction Model Based on Neural Network
Authors: Liu Junxi , Sun Lingzhao , Si Zhaoyang , He Juncong
Published: July 2024

In this paper, for the problem of e-commerce shipment prediction, the first initial modeling and solving is based on BP neural network model. Through the construction and training of the neural network model, the relationship between the commodity shipments of each merchant in different warehouses and various properties is explored and predicted. Then, the irrationality of the initial model is improved, and the STL-LSTM deep learning algorithm is used for prediction model building to better capture the seasonal characteristics and trends of the time series data and improve the prediction accuracy. Finally, combined with the SARIMA neural network prediction model, the e-commerce shipments are predicted and analyzed more accurately to provide a scientific basis and reference for the merchants' demand for goods in different warehouses. Through the research and improvement of this paper, the accuracy and practicality of e-commerce shipment prediction can be effectively improved, which has certain theoretical and practical significance.
Advancing Gesture Recognition: Innovations in Self-Powered, Flexible Wearable Devices and Sensory Systems
Authors: Gong Linyi
Published: July 2024

Wearable biosensors, increasingly integral in a digitally-evolving landscape, offer the benefits of flexibility, portability, safety, and real-time physiological monitoring, while also being environmentally sustainable. Despite significant advancements, the market expansion of these flexible devices is impeded by challenges related to energy availability and power consumption. This review delves into recent developments in self-powered, flexible wearable devices and sensing systems, focusing particularly on the roles of generators, batteries, and functional circuits. The existing obstacles are noteworthy, including limited power output of current technologies, the spatial and weight constraints imposed by energy storage devices, and the complexities involved in material synthesis. Addressing these issues will be transformative, potentially revolutionizing wearable sensor systems with advanced power technologies. This exploration not only underscores the current challenges but also highlights potential research avenues, emphasizing the profound impact that resolving energy issues could have on the deployment of wearable biosensors across various domains.
Research on Competition Pattern and Response Strategies of Sporting Goods Brand Market—Take ANTA Brand as an Example
Authors: Li Jiaxuan
Published: July 2024

In view of the large number of sporting goods brands that have emerged in recent years, there is an urgent need for brands to improve their brand competitiveness by analyzing the market competition landscape. Researching the market competition pattern can help companies understand market competition trends and competitors’ advantages and disadvantages in more detail and improve marketing strategies in a targeted manner. ANTA has successfully used its own strength to promote China’s charm and great Chinese spirit to the world through this Winter Olympics. Through the above three successful cases of Anta, the study studied the corresponding three marketing strategies from the two aspects of positive impact and negative impact, and through data collection and integration, compared Anta with Nike and Li Ning and obtained the differences between brands in marketing strategies. The research provides corresponding marketing strategies for the areas found to need improvement in Anta. Anta can gradually narrow the gap between itself and other brands in the market competition pattern by strengthening cooperation with international brands and increasing product innovation and product R&D investment. Anta Group has achieved customer coverage through the acquisition of foreign high-end and high-end brands and the acquired brand marketing investment. On the one hand, it has also appropriately compensated for This solves the problem of insufficient foreign marketing of the independent Anta flagship store brand. But this can become the future development direction of Anta’s independent brand.
From Tributary to Colonial System: Regional Order Shifts in the Rise and Fall of the Malacca Kingdom
Authors: Yan Zhengjie
Published: July 2024

At the beginning of the 15th century, the Kingdom of Malacca was established in Southeast Asia. It accepted the title of the Ming Dynasty and joined the “tributary system”, which obtained the external conditions for stable development, and gradually developed into an important trade port during Zheng He’s voyages to the Western Seas. At the same time, the Malacca Kingdom, which was deeply influenced by Buddhism, Hinduism and Islam, also had the distinct characteristics of the local order in Southeast Asia, known as the “mandala system”, and formed a unique political and economic model. However, the traditional “tributary system” and “mantra system” was finally broken by the Portuguese, and Malacca was forced into the “colonial system” and became the stronghold of operation in the Portuguese Far East. The previous Southeast Asian native order was in fact a secondary order under the loose tributary system, lacking independence and relying on the protection of the suzerainty. With the advent of the colonial era, the suzerainty declined, and its economic and cultural advantages were no longer available. The original regional order of Malacca was unable to maintain and changed, which was a historical necessity.