bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining the Relationship between Body Image Dissatisfaction and the Onset of Eating Disorder in Men and Women
Authors: Pang Yaxue
Published: January 2024

This comprehensive study delves into the complex dynamics of eating disorders, with a particular focus on anorexia nervosa and its social impact. A large portion of the study was devoted to body image dissatisfaction, revealing worldwide trends among adolescents over the past decade. Most importantly, the research emphasizes the profound impact of gender differences on the prevalence and expressions of these disorders. The paper emphasizes that while both genders are affected, the social pressures and expectations they face can differ noticeably, leading to different patterns of body dissatisfaction and eating disorder behavior. The study also emphasizes the role of cultural transformations in shaping perceptions of body image, suggesting that rapid societal changes may aggravate body dissatisfaction in both men and women. The study delves into the psychological foundation, touching on implicit social cognition, self-esteem, and deep-rooted social stereotypes, all of which play a key role in shaping an individual's attitudes and self-perceptions. The paper concludes by emphasizing the critical need for culturally sensitive therapy interventions to address the unique challenges faced by both genders in the field of eating disorders.
The Evolution and Potential of Precision Agriculture in China Anchored In "3S" Technology.
Authors: Feng Hao
Published: January 2024

Agriculture serves as a linchpin for the national economy. With the accelerated evolution of information technology and emergent high-tech innovations, the digitization of agriculture has emerged as a pivotal trajectory for contemporary agricultural advancement. Conventional practices encompassing planting, fertilization, and harvesting are transitioning towards more quantitative, localized, and technologically-driven precision agriculture. Concurrently, with the global surge in "precision agriculture", Chinese academicians have progressively delved into its study. Over the past three decades, the "3S" technology-centric "precision agriculture" in China has witnessed commendable advancements, exemplified by innovations such as the Global Agricultural Remote Sensing Quick Report System and the Beidou Satellite Navigation System-based autonomic agricultural machinery operation. However, the modernization of Chinese agriculture exhibits certain limitations, including limited adoption, suboptimal integration, and a scarcity of high-caliber experts. Given the swift progression of Chinese scientific and economic domains, the "3S" technology is poised to surmount these challenges, enhancing the modernization of Chinese agriculture. Hence, "precision agriculture" anchored in "3S" technology retains significant growth prospects within China.
Opportunities and Problems Presented by ChatGPT to the Financial Industry
Authors: Liang Songnan
Published: January 2024

ChatGPT marks the beginning of a new AI revolution, it has aroused strong concern from all walks of life. The generative AI represented by ChatGPT will have a huge impact on the financial industry. This paper reviews the basic development and functional application of ChatGPT. On this basis, this paper discusses the opportunities and challenges presented by ChatGPT to the financial industry. Moreover, the main problems still existing in applications and the matching solutions are pointed out as well. The literature shows that ChatGPT has potential to help financial organizations improve risk control ability, market insight and market competitiveness, thanks to its powerful natural language processing, data collation and data analysis capabilities. But ChatGPT also brings various issues, such as data privacy and securities issue, accuracy and timeliness issue, legal risks, and ethical issue at the same time. ChatGPT is a "double-edged sword", it should be used appropriately to achieve "finance for people".
Impact of Exchange Rate Fluctuation on Import and Export Enterprises in China and Japan and Countermeasures
Authors: Liu Shuang
Published: January 2024

Exchange rate fluctuations have a broad impact on the economy. Generally speaking, exchange rate fluctuations can lead to changes in international trade terms. As two economies, China and Japan, their international trade relations have received much attention. This article aims to discuss the impact of exchange rate fluctuations on the import and export enterprises of China and Japan. Through the analysis of exchange rate fluctuations, we will focus on the impact of the two countries' enterprises on profits, competitiveness, costs and demand, and then discuss the relative responses. Strategies, so as to help enterprises continue to develop in the environment of exchange rate fluctuations.
Progress and Prospects of CAR-T Therapy for the Treatment of Solid Tumors
Authors: Zeng Yuhan
Published: January 2024

CAR-T therapy utilizes cytokines, cytotoxic particles, and ligand receptors in order to eradicate malignant cells. The objective may be accomplished by either directly inducing tumor cell death or indirectly augmenting the immune response against these cells. Recent days, in treating hematological malignancies, CAR-T therapy demonstrated high efficiency and multiple successful clinical applications. However, the available literature reveals a scarcity of research regarding the impact of CAR-T therapy on solid tumors although they account for about 90% of the cancer cases in the adult population. Solid tumors present challenges to CAR-T therapy because of trafficking or infiltration issues, tumor antigen heterogeneity, and an immunosuppressive microenvironment (TME). This review aims to assess these obstacles and explore various techniques and innovative approaches developed to address these limitations. Moreover, in this review, we review the structure and mechanism of CAR-T and further discuss the potential future applications of CAR-T therapy in treating solid malignancies.
Comprehensive Analysis of Key Technologies for Smart Grid
Authors: Yang Jiyue
Published: January 2024

Smart grid tech, using advanced comm info systems to enhance power system efficiency, reliability, sustainability, transforms energy sector, supporting global energy transition sustainable achievement. This article explores smart grid dispatch system research for improved power system reliability, security, and economics. It begins by outlining key research areas: real-time monitoring and data acquisition collect operational data via sensors, forming the basis for scheduling; forecasting and optimal scheduling, leveraging historical and real-time data to predict load demand and enhance efficiency; safety and fault monitoring, promptly identifying and mitigating risks; new energy access and management improving reliability and economics; smart grid scheduling system development integrating and managing distributed energy resources. These areas are pivotal for modernizing power systems. The research in this dissertation aims to elucidate how smart grid tech drives innovation in power systems, meeting future demands while advancing sustainable energy goals. Beyond the power industry, these technologies have profound societal and environmental implications, laying a robust foundation for a sustainable, clean energy future.
Mechanical Performance and Selection Study of High-Rise and Super High-Rise Building Structural Systems
Authors: Zhao Ziyi
Published: January 2024

This study focuses on the structural systems of high-rise and super high-rise buildings, with particular emphasis on their mechanical performance and selection. The structural design of high-rise buildings is of paramount importance, requiring safety and stability to be ensured. This paper discusses various structural types, including steel structures, reinforced concrete structures, and their combination structures. Additionally, it analyzes the characteristics and applicability of various vertical load-bearing structures such as frames, shear walls, frame-shear wall systems, cores, and mega-structures, considering their performance under different heights and geographic conditions. Finally, it presents the maximum applicable heights for each structural system, emphasizing the significance of selection in meeting urban demands.
Analysis of the Fabrication and Applications for State-of-Art MOSFET and JFET
Authors: Ge Haoyu , Tang Guojing , Zhou Yutang
Published: January 2024

Semiconductor devices have always played a vital role in the field of electronics, and their development has promoted the rapid progress of modern electronic technology. Among them, MOSFET and JFET are two important semiconductor devices, and their wide application in the electronic field leads technological innovation in different fields. This study will introduce the fabrication and application of these two mainstream FET devices, while analyzing their future limitations and prospects. Some improvements in structure and material of both devices will be introduced. The performance enhancements including I-V characteristic curve and energy loss are shown in this article. Studying the development, types, and progress of MOSFET and JFET provides insights into their history and advancements, contributing to improved device performance and reliability. Applications in integrated circuits, quantum computing, solar cells, biomedicine, and communication highlight their wide-ranging impact. To sum up, understanding FETs limitations and future prospects drives further innovation, advancing technology and electronic systems.
Research on the Problems and Countermeasures of Minimart Inventory Management from the Perspective of Supply Chain
Authors: Li Hongbo
Published: January 2024

Inventory management is an important part of enterprise operations. By keeping inventory at a manageable level, one may cut expenses overall, prevent overstocking and out-of-stock situations, limit inventory fund usage, and quicken fund turnover. Compared to supermarkets, minimarts usually have characteristics such as a wide variety of goods, frequent circulation, a smaller warehouse, a lack of professionalism in inventory management and so on, which makes their inventory management different. Only by doing a good job in inventory management can minimarts not fall behind in competition with supermarkets, and can minimarts achieve healthy and sustainable development. This article mainly discusses the importance and existing problems of inventory management in minimarts, such as the costs of inventory management in minimarts are at a high level, less attention to inventory management, serious inventory backlog, overdue goods and insufficient inventory. Then propose improvement strategies that can help minimart have better inventory management to increase economic benefits.
Research on the Digital Transformation of the Financial Industry
Authors: Wang Xiao
Published: January 2024

At present, digital technologies such as big data and blockchain are thriving. The financial industry is actively responding to the country's requirements for digital transformation under the trend of the times. With the support of the state and government, and the efforts of the industry and enterprises themselves, the digital transformation of the financial industry has made certain progress. This article analyzes the necessity of digital transformation in the financial industry from the perspective of meeting customer needs and innovative development. At the same time, analyze the current situation of digital transformation in both foreign and domestic markets in detail. In order to further explore the challenges and problems in the digital transformation process of the financial industry, and provide suggestions for reference. This study is beneficial for promoting the digital transformation process of the financial industry and provides a certain degree of reference for enterprises in the financial industry..
Synthesis Method of Taxol And Its Application in Cancer Treatment
Authors: Geng Qixuan
Published: January 2024

Taxol, also known as paclitaxel, it is a broad known anticancer compound. It is a medication that can be used to treat multiple cancer. Taxol comes mainly from the pacific yew tree bark and it is the first microtube agent. It has been approved that taxol is a significantly chemotherapeutic agent against many forms of cancer, it has been widely used on patients. Unfortunately, it has limited production amount, chemical and biological synthesis have been worldwide researched and tested to improve taxol production. Following the background and methodology of synthesis of taxol, the different methods and procedures investigated will have a brief explanation of some of the known processes. Also, summarization of paclitaxel anticancer mechanism, and immunomodulatory effects explained here. Taxol can be used to treat breast cancer as a first-line therapy. Here, the discussion centered around current research that focus on taxol treatment for breast cancer, its mechanisms of treating cancer and effects on breast cancer.
Business Model and Compensation Strategy of Sporting Goods Industry: A Case Study of Nike
Authors: Liu Haozhe
Published: January 2024

The practical significance of this paper lies in the comprehensive analysis of the company market and Nike's salary structure and salary policy. By focusing on Nike as the main research object, this study examines fundamental aspects of business models within the sporting goods industry. It explores how companies develop policies to maximize employee welfare, the role of incentive policies, and more. Changes in revenue and market trends are also taken into account. Through objective analysis, data interpretation and theoretical speculation, this paper makes an in-depth study on the business model and compensation strategy of sporting goods companies. In addition, this paper also studies the related policies and the reasons for their modification. These findings contribute to a deeper understanding of socio-economic factors, the impact of business policy within the sporting goods market, as well as Nike's compensation strategy and changes in the board member compensation system under social influence in recent years.
Numerical Study of Possion Equation in Subsonic and Supersonic Airfoil Flow
Authors: Deng Liu
Published: January 2024

In the context of subsonic and supersonic airfoil flows in fluid mechanics, this study aims to numerically simulate the Poisson equation. The focus is on analyzing the variation of fluid flow under stable conditions of incompressible fluid. The research classifies the flow into four distinct cases based on the Mach number and its constancy and employs Python for intricate numerical computation. The culmination of the study involves generating Mach number contour plots and streamlining diagrams for each case using Python, which visually depicts the nuanced evolution of the flow field. Moreover, the study conducts a rigorous comparative analysis of the simulation results for the different cases, exploring the intricate differences in flow behavior across a spectrum of Mach numbers and flow conditions. The discussion section further broadens the scope of inquiry by addressing potential limitations and charting out prospective research directions. By providing a comprehensive exploration of the widespread application of the Poisson equation in fluid mechanics, this paper stands as a beacon for further investigations in the domain and presents invaluable insights for the progressive advancement of fluid mechanics studies in the future.
Analysis Of the Influence Mechanism of Power Market Reform Affecting the Power Transmission and Transformation Construction Projects Under the DB Mode
Authors: Chen Bingqian , Liu Qin , Zeng Cong , Yin Chen , Wang Zhengjian , Shu Han , Liao Wenwei
Published: January 2024

Under the background of the new round of power market reform, the power transmission and transformation construction projects are faced with many new influencing factors. Therefore, the article firstly uses the Delphi method to sort out the influencing factors faced by the power transmission and transformation construction projects built under the Design and Build(DB) mode, and categorize various influencing factors into four dimensions; then analyses the interaction mechanism between the influencing factors by constructing an interpretative structural model of the influencing factors of the power transmission and transformation project construction, and builds a hierarchical structure diagram of the influencing factors. Based on this hierarchical structure diagram, the origin factors and process factors of the influencing factors can be clearly seen, as well as the risk transfer chains of five major influencing factors, including diversified electricity sales entities and opening up of newly-added power distribution network. Finally, based on the five risk transfer chains, specific suggestions have been proposed for the construction of power transmission and transformation projects after the new round of power market reform.
Research on the Application of Computer Virtual Reality Technology in Tourism Development of Scenic Spots
Authors: Yong Li , Dan Xiong
Published: January 2024

VR (Virtual Reality) makes it possible to use digital technology to drive the development and revitalization of the cultural tourism industry. Aiming at the shortcomings of traditional virtual tourism system such as weak immersion and lack of interaction, this paper designs and produces a Zhuhai virtual tourism system based on RPG. Secondly, this paper analyzes the functional modules of the virtual tourist attraction system. Finally, this paper uses three-dimensional panoramic technology to realize the development of virtual tourist attractions system from four processes: material collection, material stitching, panoramic roaming, and publishing roaming. The system constructs a virtual three-dimensional tourism environment through virtual reality non-contact sensing technology on the basis of the real tourism landscape. Tourists can experience travel in a virtual environment in advance without leaving home, and then plan efficient travel plans.
ARIMA Model, Discounted Cash Flow Analysis, and Dividend Discount Model for Five Technology Stocks' Pricing and Trading Strategy
Authors: Hu Yipeng
Published: January 2024

This study examines the ability of three widely used financial and econometric models-the Autoregressive Integrated Moving Average (ARIMA), the Discounted Cash Flow (DCF), and the Dividend Discount Model (DDM), to accurately forecast the stock prices of five well-known technological companies. Every theoretical framework offers a unique point of view. DDM places an emphasis on the value of expected future dividends. Collecting historical information on each stock and then applying that information to the relevant models in order to make projections about future stock values was an integral part of the process. In order to evaluate the accuracy, dependability, and applicability of each model in regard to the technology equity, a head-to-head comparison was carried out. Based on the preliminary findings, it appears that while ARIMA can provide valuable insights for price changes in the short term, DCF and DDM can provide a more comprehensive view of the long-term intrinsic worth of a company's stock. However, the effectiveness of each model differed among the several technological stocks that were considered, underscoring the relevance of selecting a model that is adapted to the particular qualities and dynamics of a specific stock as well as the industry in which it operates.
The Difference of Influencing Factors of Entrepreneurs' Entrepreneurial Choice
Authors: Zhang Yang
Published: January 2024

Entrepreneurship is a crucial catalyst for enhancing economic vitality and sustaining a country's healthy economic growth. Therefore, what leads entrepreneurs to relinquish their comfort zone and abandon traditional employment to pursue entrepreneurship remains a pertinent inquiry. Entrepreneurs represent the core of entrepreneurial activity. Based on empirical evidence, entrepreneurs' reasons for starting a business vary considerably. For instance, some are motivated by the desire to innovate, while others aim to maximize their earnings. This study specifically examines the singular influence of individual factors, summarizes the primary factors that impact entrepreneurial decision-making, provides explanations and analyses, and elucidates the specific role of each factor and its impact on entrepreneurs' choices. Furthermore, this study introduces the impact of economic cycles and unemployment on individual entrepreneurial behavior, which has received insufficient attention until now. People commonly believe that starting a business is more feasible during periods of economic growth rather than during recessions, but certain entrepreneurial behaviors suggest that this belief may be misguided. Through analysis and research, recommendations are provided for both individual entrepreneurial decisions and government entrepreneurial incentive policies.
Structural and Load Analysis of the Belgian Atomic Tower
Authors: Zhong Lingyu
Published: January 2024

In order to study the service life of the building and its variable factors, the material composition of the building is analyzed with the example of the Atomic Tower in Belgium. At the same time, in order to study the variable load factors on the building more carefully, the transfer of load on the atomic tower is first analyzed, and then the analysis of wind load, snow load, geometry and dead weight on the Atomic Tower in Belgium is analyzed. In addition, in order to ensure the accuracy of the experiment, the phenomenon that the experiment may fail is analyzed. lognormal distribution is used to show the experimental process. Finally, it is concluded that snow load and wind load are the main variables affecting the stability of the Atomic Tower in Belgium. Moreover, the influence of materials may reduce the limit that the building can withstand due to oxidative corrosion, leading to instability.
Analytical Study on Mechanical Energy Recovery and Utilization of New Energy Vehicles
Authors: Dong Yunzhi , Ni Shiwei , Xu Shengjie
Published: January 2024

The pursuit of energy efficiency and sustainability in the automotive industry has become increasingly urgent in response to growing environmental concerns. Herein, this paper focuses on the critical challenge of energy dissipation in new energy vehicles, particularly during braking and suspension vibrations. The paper presents two innovative energy recovery solutions aimed at reducing energy losses and enhancing sustainability. In the realm of sustainable transportation, this study critically evaluates the optimization strategies for braking energy recovery in new energy vehicles. A key recommendation is the integration of a permanent magnet synchronous motor combined with an advanced fuzzy control system. Such an amalgamation not only heightens energy efficiency but also substantially extends the driving range of electric vehicles. Beyond braking energy, the research casts light on an often-overlooked energy source: the vibrational energy from vehicle suspensions. By introducing an innovative electromagnetic damper design coupled with the strategic incorporation of piezoelectric materials, the study unveils avenues to both improve suspension dynamics and transform vibrational energy into usable electrical power. While there are current technological and economic challenges, the ongoing innovations in the design and control processes of new energy vehicles highlight the profound potential within this domain. The insights offered in this context further emphasize the critical need to expand the horizons of sustainable transportation design and management approaches.
Immune checkpoint therapy in liver cancer
Authors: Chen Wenzhu
Published: January 2024

Immune checkpoint therapies have been shown to be extremely successful in the treatment of cancer, with clinical utilization already established for suppressing CTLA-4, PD-1, and PD-L1. The CTLA-4 antibody ipilimumab and the PD-1 antibody pembrolizumab were demonstrated to improve survival in patients with metastatic melanoma. The Food and Drug Administration (FDA) has given approval to certain matching medications for the medical care of various tumors based on these targets. The current study also confirms the potential of these immune checkpoints and inhibitors to treat hepatocellular carcinoma. The objective of ongoing research is to integrate immune checkpoint therapy into hepatocellular carcinoma management, either as a standalone treatment or in combination with other therapeutic modalities, to enhance patient outcomes and survival. In this review, the specific roles and mechanisms of immune checkpoints and inhibitors in hepatocellular carcinoma are presented, as well as summarizing the current progress in their therapeutic use in the treatment of HCC and discussing their directions.
A Study on the Olympic Hosting Proposal Based on Comprehensive Evaluation and the ARIMA Model
Authors: Liu Yayun , Ou Yuxin , Zheng Hairong
Published: January 2024

As a significant event, the Olympic Games have attracted considerable attention since their inception. However, in recent times, enthusiasm for hosting the Olympics among countries worldwide has seen a decline. To propose a reasonable Olympic hosting plan, this article establishes an Olympic hosting capability assessment model. The study selected 11 countries that have hosted either the Summer or Winter Olympics in the past 20 years and investigated seven key aspects of evaluation indicators. Using the EWM-AHP method combined with the TOPSIS method, scores were assigned to these 11 countries. Based on the scores, nations that have previously hosted the Olympics were ranked. The top three countries for both Winter and Summer Olympics were identified, suggesting that the Olympic Games rotate among these nations. To predict the future impact of hosting the Olympics on the host country, this article employs the ARIMA model to forecast the future development of the host nations. The results indicate that hosting the Olympics will lead to a rise in the nation's score, thus validating the reasonability of the hosting proposal.
Research on the Impact of the Double Reduction Policy on Educational Institutions
Authors: Zhang Jiabang
Published: January 2024

The introduction of the "double reduction" policy has reduced the burden of classroom homework and off-campus training for students in the compulsory education stage. People pay more attention to quality education and promote the rational allocation of educational resources, but it has also brought a significantly negative impact on the popular market of education and training institutions. In order to adapt to market demand, schools and training institutions have made profound changes. Educational institutions make full use of advanced technology and integrate education with other industries to achieve personalized and comprehensive education.
Talent Strategy and Future Development of High-tech Enterprises: Taking Huawei as an Example
Authors: Ji Chenyu
Published: January 2024

Innovation is the driving force of enterprise development, and talent is an important way of innovation. Taking Huawei as a research case, this paper discusses in depth how Huawei's talent cultivation system and talent incentive system can realize the innovation stimulation effect. After that, this paper discusses the relevance of Huawei's talent strategy and Huawei's future development to further demonstrate the stimulating effect and importance of talent strategy. Based on the research in this paper, Huawei's talent development system helps Huawei to build up a team of leading talents in various fields to improve its innovation capability in the future development. The talent incentive system helps Huawei to obtain more long-term development capabilities in the future development to improve the sustainability of innovation and intrinsic motivation. Finally, this paper provides specific practical suggestions for Huawei from personalized talent cultivation and talent incentive system innovation, which will help Huawei to better utilize its talent strategic advantages.
The Application of Remote Sensing Techniques in Ecological Environment Monitoring
Authors: Jiao Zehua
Published: January 2024

As global environmental challenges continue to escalate, remote sensing technology has become an indispensable tool for researching, monitoring, and managing these issues. This article aims to summarize the principles of various remote sensing technologies, their primary application areas, and their crucial role in ecological and environmental conservation for sustainable development. Remote sensing technology offers a diverse array of data from multiple sources and scales, facilitating the monitoring of natural resource changes, studying ecosystem health, and assessing the impact of human activities on the environment. In-depth exploration of the latest advancements and application cases in remote sensing includes: (1) Vegetation: Applications in vegetation monitoring encompass the use of technologies such as unmanned aerial vehicle (UAV) remote sensing and laser radar (LiDAR) for monitoring forest health, vegetation cover, and changes. These applications support forest management and ecological research. (2) Water Bodies: Thermal infrared remote sensing and satellite remote sensing are utilized to monitor water quality, water level fluctuations, and aid in water resource management, addressing water resource challenges. (3) Soil: Remote sensing technology is employed in soil applications, utilizing multispectral and synthetic aperture radar (SAR) techniques for soil property assessment, soil moisture analysis, and soil erosion prediction. These applications contribute to agricultural and land management decisions, and provide suitable remote sensing technologies for the current trends in the ecological field, serving as a reference for monitoring methods.
Optimization modeling of vegetable pricing replenishment strategy based on machine learning
Authors: Zhou Shuchang , Dai Yan
Published: January 2024

Fresh supermarkets are affected by commodity attributes and transaction time, and usually need to be replenished every day. It is of great significance to study the distribution law of sales volume of each category and single product, and to give replenishment and pricing strategies for the commercial supermarket to maximize its revenue. Based on the machine learning method, this paper analyzes the sales flow records of a supermarket in the past three years, obtains the sales rules of each category, and establishes a dynamic optimization model for subsequent pricing and replenishment decisions. The steps are as follows: Firstly, data preprocessing is carried out. Secondly, the kernel density estimation method is used to analyze the distribution law of the total sales volume of each category. With the help of correlation coefficient Screening feature selection method, neural network method and regression tree method, the first 33 single vegetable variables that have an important impact on the total sales volume of vegetables and meet the given constraints are comprehensively selected. Based on these 33 variables, the revenue function of single product sales, single product pricing, single product replenishment and single product wholesale price is constructed, so that the optimization problem of the revenue function is transformed into a constrained optimization problem of a quadratic function of the cost markup rate, and the specific pricing and replenishment strategy on July 1,2023 is obtained. The model established in this study can provide some new solutions to the vegetable pricing and replenishment strategy of supermarket.
Research on stock price prediction of Kweichow Moutai based on machine learning methods
Authors: Luo Xinyi
Published: January 2024

Kweichow Moutai stock Is the most closely watched stock market in China. This article adopts machine learning method including CNN and SVR models to forecast Kweichow Moutai's stock price. The prediction results of these two methods are further compared by prediction accuracy indicators. The results show that SVR model are more accurate than the CNN model. The Kweichow Moutai stock still have persistent fluctuation and also rising. As far as the forecast results are concerned, the development prospects of Kweichow Moutai are still good. This paper not only provides empirical evidence on how the two prediction models perform, but also provide a reference for investors to make investment strategy on Moutai stock.
Characteristics of Green Roof and Vertical Greening Systems and Its Application Prospect in Hong Kong
Authors: Zhang Yuxiang
Published: January 2024

Under the background of urban population growth and increasingly prominent urban environmental problems. Green infrastructure in line with sustainable development is considered a possible solution. This paper aims to study the application of green roofs (GR) and vertical greening systems (VGS) in densely developed cities, such as Tokyo and Singapore, and provide a reference for Hong Kong. This study believes that GR and VGS have great potential in alleviating urban environmental problems in Hong Kong and can effectively provide more green development space. At the same time, it plays an active role in alleviating the urban heat island effect, reducing air pollution and energy consumption. Currently, there are some urgent problems with the application of GR and VGS in Hong Kong, such as construction cost recovery, hidden dangers of public safety, and technical construction difficulties. In addition, this paper suggests that Hong Kong should provide more investment and support for GR and VGS in legislation and technology to promote their promotion and popularization.
Research And Analysis on Tax Risk Management of Enterprises Proposed for IPO
Authors: Fang Kaiwen , Li Yunxiang , Xu Wanjia
Published: January 2024

In recent years, IPO has become one of the important financing methods for many enterprises, and IPO listing has brought more resources and opportunities for many enterprises. However, some enterprises to be listed on the IPO lack the awareness of risk avoidance and do not do a good job in tax management, which leads to negative impacts on the IPO listing and even failure of the IPO listing, which can be seen from the fact that enterprises deal with the tax-related issues is a key factor for the success of the listing on the IPO, and it is very important to carry out effective tax risk management. Effective tax risk management is of great importance. This paper analyses the tax risk problems of IPO enterprises by studying the tax risk problems of today's IPO enterprises and puts forward suggestions for tax risk management of IPO enterprises, as well as puts forward the outlook for future research.
A Comprehensive Study of Disney's Business Strategy
Authors: Dong Xiaoyu , Zhang Jiarui
Published: January 2024

This paper studies the Wyatt Disney Company, mainly from the development history of the Disney Company, the main business, the advantages and disadvantages of the business strategy, and the main consumers in four aspects. The first part of a detailed study of the Disney company's founding history, philosophy, the development history of the company's main business, etc.; the second part of an analysis of Disney's main business from the animation production, media and theme parks in three parts; the third and fourth parts of the study of Disney's business model, from a different point of view, to analyze the strengths and weaknesses of the Disney company's business strategy and put forward relevant recommendations; the fifth part of the consumer groups from The fifth part of the study examines the specific types of consumers and how to expand the consumer group through acquisitions and other methods. Through this study, the strengths and weaknesses of Disney's business strategy are analyzed and recommendations are made for the reference of other companies of the same type.
Research on Stock Price Prediction based on LSTM Modeling-A Stock Market as a Case Study
Authors: Wang Yuxin
Published: January 2024

This research intends to predict the closing values of the Shanghai Stock Exchange 50 Index using an enhanced Long Short-Term Memory (LSTM) neural network approach. The investigation leverages a comprehensive data set from August 2013 to August 2023, encompassing various market conditions. Alongside the primary LSTM analysis, the study introduces supplementary methodologies, specifically the Auto-correlation Function (ACF) and Partial Auto-correlation Function (PACF), to validate and enrich the time-series analysis. This study verified the non-stationary of the original data and processed them with method. 80%of the data was allocated for training, while the subsequent 20% was reserved for testing, the LSTM model, with its intricate architecture, exhibits superior predictive capabilities, particularly in stable market conditions. However, its performance wanes during volatile market periods, suggesting further refinements are necessary. This research contributes to the existing literature by applying machine learning methodologies to the turbulent and complex A-share market, offering invaluable insights for both academic researchers and market investors.
Using In Death: Unchained as case to investigate embodiment-related elements in VR game design
Authors: Wang Xiaolin
Published: January 2024

The research focuses on the concept of embodiment in VR game design, which is a trending topic in VR theories and applications. Currently, other investigations focus on a more broad term of VR products or a specific category of VR games, which ignores the importance of embodiment in generic VR game design. This research focuses on various approaches towards embodiment and uses the VR game In Death: Unchained as an example to demonstrate those approaches' application, effect, and limitations. To begin with, the virtual environment on embodiment in VR games like In Death will be examined, the same as the usage of players’ actions and haptic feedback designed to increase the sense of presence. Next, the limitation of VR games will be listed after comparing with other VR projects from Meta or Google, which undermine the embodiment of VR games. finally, this research is looking forward to the future and trend of development in VR games' embodiment.
Analysis of the Structure and Working Principle of Intelligent Bionic Hand
Authors: Li Zezhu
Published: January 2024

Intelligent bionic prosthetic hand controlled by intelligent neural networks with perceptual feedback function is a hot topic of research for scientists around the world. This article analyzes the development status of electromyographic prosthetic hands both domestically and internationally over the years, and provides a detailed introduction to the structure of intelligent bionic hands. The intelligent bionic hand consists of three important components: 3D printed bionic hand bone structure, sensors, and intelligent neural network algorithm control system. Among them, the intelligent neural network algorithm control system is its core. The focus is on the working principle of an intelligent bionic hand, where sensors collect electromyography and neural electrical signals generated by human muscle movements. Through the intelligent neural network algorithm control system, the data information obtained is continuously optimized and adjusted to achieve motion control of the prosthetic hand. This article analyzes some problems of intelligent bionic hands and provides development ideas and suggestions. It is pointed out that the reconstruction of the sensing function of the intelligent bionic hand should focus on multimodal feedback, using diverse stimuli and more sensitive sensors for human-machine interaction, so that the intelligent bionic hand can move flexibly and freely, benefiting most disabled patients.
Human Resource Management Analysis in the AR/VR Industry: A Case Study on Meta Company
Authors: Xiao Ran
Published: January 2024

This research paper delves into the complex landscape of human resource (HR) management within the Augmented Reality and Virtual Reality (AR/VR) industry, using Meta Company as a prime focal point. The study thoroughly examines key challenges facing the industry, including critical skill gaps, mismatches in talent demand and supply, high rates of employee turnover, and the intricacies of cross-cultural management. It delves into the various methods employed for recruitment and selection, the strategies implemented for training and development, and the initiatives taken for effective employee retention within the AR/VR industry. The findings of this study reveal that despite the unique and rapidly evolving challenges of the AR/VR landscape, deploying effective and strategic HR management can significantly enhance talent acquisition, foster skill development, and ensure successful retention of employees. This research paper contributes valuable academic and practical insights to the understanding and management of human resources in the burgeoning field of AR/VR, providing a comprehensive perspective that could potentially facilitate sustainable growth and development within the industry.
Research on the Impact of State-owned Enterprise Privatization Reform on Firm Innovation
Authors: Wang Haoyu , Yuan Xueman , Zhang Yiwen
Published: January 2024

Over the past few decades of state-owned enterprise (SOE) privatization in China, though many studies have been done concerning different aspects of relationship between the privatization of SOE and firm development, little was known about the impact of state-owned enterprise privatization reform on firm innovation. Some of the prior literature didn’t manage to provide a convincing result to a certain extent as the data the chose was not enough. This article utilizes a substantial dataset of more than 28,000 listed companies that have undergone privatization, extracting the R&D expenditure data of listed companies from Wind database spanning from 2010 to 2022. After systematic investigation of the impact of SOE privatization (as measured by a dummy variable) on innovation (as measured by R&D investment) using the model of regression, it can be found that the privatization of state-owned enterprises in my country has had a negative impact on corporate innovation, as certain preconditions are needed for the success of privatization and restructuring, which plays a vital role in avoiding certain risks after privatization.
Research on the Impact of American Consumer Behavior after COVID-19
Authors: Weng Xiaoyu
Published: January 2024

The spread of COVID-19 has significantly influenced people’s lives and brought worldwide recession. In order to society to recover faster from the epidemic, the first step is to understand the impact of the epidemic on people and changes in people's consumption habits. This paper uses the Real Personal Consumption Expenditure provided by Fred to categorize consumption into service, durable goods, and non-durable goods and to analyze the change of consumption focus of citizens. After the epidemic, overall consumption dropped, and it took almost a year to recover to the previous stage. After COVID-19, consumers are less willing to spend on service and this is the part that the government needs to put most effort on. After analyzing consumers’ consumption behavior, the government can make suitable policies to encourage consumption activities.
Market Competition Analysis and Strategic Research of Ford Motor Company
Authors: Yu Yize
Published: January 2024

In the trend of global electrification and intelligence of automobiles, many large traditional fuel vehicle companies are facing huge transformation challenges, which may determine the fate of future car companies. This article selects Ford Motor Company, a large multinational enterprise in the United States, and uses methods such as macro analysis of the automotive industry, comparative analysis of indicators, DuPont analysis, strategic analysis, and risk analysis to study the current situation of Ford Motor Company. This article finds that Ford Motor Company's fuel vehicle market has performed well and stably, which can offset the significant research and development and losses of electric vehicles in recent years. Despite Ford's sluggish performance in the Chinese market in recent years and mediocre sales of electric vehicles, Ford has also made sustained strategic adjustments and actively responded. Finally, this article also proposes that Ford Motor Company should seize the hybrid vehicle market, seize the advantages accumulated by traditional popular models for a long time, and continuously promote localization adjustments in various regions.
Schwarz's lemma on the perplex plane
Authors: Huang Xixuan , Zhang Jing
Published: January 2024

Perplex number is an extension of complex numbers, constituting a commutative ring with zero divisors. In this paper, we primarily investigate the Schwarz lemma on the perplex plane and successfully obtain an estimation of the modulus of differentiable functions in perplex plane. Furthermore, we discuss its potential applications in complex analysis and geometric function theory. This conclusion not only offers a fresh perspective for mathematical research but also holds significant reference value for advancing studies in physics, providing valuable theoretical support for subsequent scientific investigations.
The Analysis of Corporate Management Bias in China’s Public Sector: A Perspective from Gender Discrimination
Authors: Zhang Zijia
Published: January 2024

Nowadays, gender discrimination has been gaining an increasing amount of attention which mostly focus on methods and adjustments to eliminate this inequality and spread the importance of sex equality, creating a fair and comfortable environment for all human to study, work, and live. In China, this issue has been focused on for a long time without suitable solutions and policies as well as real actions to change this unfair situation, especially in the workplace. If this cannot be solved, humans will keep the unbalancing between males and females which is shown not only in their careers but also in their daily lives. As soon as this gender discrimination issue is solved, people all over the world will gain respect, responsibility, development of human civilization, equality, and an open mind and so many advantages waiting to be discovered for humans. Finally, other problems and arguments are going to be solved by researchers and expertises and all citizen are going to have equal positions in China. Although there are still far more researches which are necessary to do and the gap between males and females has not been closed yet, the amount of women being executive managers is expected to rise from the author’s perspectives and the gap has been getting smaller.
Bitcoin Volatility in Web 3.0 and Revelation to Digital Currency
Authors: He Yuxuan
Published: January 2024

In Web 3.0, bitcoin is the first cryptocurrency and one of the most prominent digital currencies. Cryptocurrency is a form of digital currency that operates on blockchain technology which is decentralized, transparent, and secure. Surrounding why bitcoin fluctuates so intensively, the article illustrates bitcoin’s history, explains the running logic and technical principle behind the volatility, analyses a few factors that contribute to its volatility, and explores the essence of bitcoin through the comparison with stock. Stocks represent the ownership of a specific corporation while bitcoin doesn’t. Bitcoin is more like an artwork whose value is bestowed by the market consensus. Further, the article compares bitcoin with digital RMB. Digital RMB is far more predictable than bitcoin and has profound meaning for China. In the future, digital currency is going to play a dominant role across the world. Though bitcoin is on a downward trend, blockchain technology and cryptocurrency will have positive developing prospect. The article aims at introducing abstract bitcoin in a comprehensible way to help crypto and digital market newcomers digest bitcoin and blockchain and access Web 3.0 and digital currencies.