bluuebunny/crossref_metadata_2025 huggingface dataset:
Research And Analysis on Brand Marketing Under the Influence of Fan Economy - Taking "Fan Circle Culture" As an Example
Authors: Cui Xiaohui
Published: July 2024

With the global prevalence of fan culture, various industries have permeated to varying degrees of the impact of cultural collisions. This article focuses on brand marketing in the marketing industry, with fan economy as the basic background to study the impact of fan economy on brand marketing in fan culture. The main research methods used in this article are comparative analysis and examples, with social identity theory as the basic theoretical framework. Based on specific marketing cases of fan groups and brands and the advantages and disadvantages of fan economy in fan culture on brand marketing are summarized aiming to analyze the role of fan groups in marketing purchasing behavior and the interaction between fan culture and brand marketing process, providing new ideas for the development of modern marketing industry. This article analyzes and finds that the fan economy, taking fandom culture as an example, plays an important role in brand development and marketing activities. It interacts and influences brand marketing behavior from different dimensions, and through the influence of fan economy background on consumer behavior activities, it is found that the newly developed fan economy under fandom culture is sweeping the global marketing market with a rapid development trend, becoming an indispensable presence in today's marketing environment, subverting traditional marketing models, and providing auxiliary assistance and guidance for its future industry development.
Study On the Relationship Between Corporate Financial Risk Management and Financial Robustness
Authors: Chi Chengyuan
Published: July 2024

With increasing social competition, new opportunities and challenges have emerged for business development. Effective financial risk management is crucial for businesses to achieve stable growth in this environment. Today's enterprises face challenges from market dynamics, policy changes, and technological advancements, accompanied by increased financial risks. Therefore, internal managers and relevant staff must understand the link between financial risk management and financial robustness. To further enhance financial stability, businesses should establish clear financial goals based on their actual conditions, strengthen financial risk management after solid foundational work, and enhance operational efficiency to achieve comprehensive improvements in financial robustness, thus better navigating various challenges. Additionally, companies should also enhance their financial direction management, improve their existing risk assessment systems, enhance internal controls, and establish risk warning mechanisms as needed to ensure the continuous improvement of their financial robustness.
Current Development of Art and Countermeasures
Authors: Ma Heting
Published: July 2024

The purpose of this paper is to discuss the current situation of art development and the challenges it faces, and to propose corresponding countermeasures. Firstly, by analysing the overview of international art development and the current situation of art development in China, key development trends and problems in the art field are sorted out. Secondly, to address the challenges and opportunities in the current situation, specific countermeasures are proposed in three aspects: policy and regulatory support, art industry and market development, and art creation and dissemination. The research in this paper has certain theoretical significance and practical value for understanding the status quo of art development, responding to the challenges and promoting art prosperity.
Research on drone logistics layout based on different scenarios
Authors: Liao Yuyang , Liao Feiyang
Published: July 2024

Domestic and foreign drone logistics giants have developed different delivery solutions based on different delivery needs of customers and derived different application scenarios. Among them, the Zhihang logistics industry solution combines "App+Data Center" applications to provide users with the function of real-time monitoring of the flight status, flight trajectory, and logistics package information of each drone in the logistics system. This solution provides a safer and more efficient solution for the logistics industry. At the same time, the point-to-point solution launched by Xunyi activates preset routes, autonomously completing flight missions from the origin point to the destination, and returning to standby mode after unloading at the destination, waiting for the next mission. This solution has the characteristics of efficiency and convenience, bringing new breakthroughs to the express delivery industry.
Overview of Optimized Load Scheduling of Energy Hub under Energy Internet Environment
Authors: Wang Yucheng
Published: July 2024

Energy hubs (EH) play a key role in the energy Internet environment, especially in the load optimization scheduling of multi-energy systems. As an input-output port model of multi-energy systems, EH realizes real-time monitoring and intelligent analysis through the Internet of Things, big data and artificial intelligence technologies, promoting the efficient use of energy and the reduction of environmental pollution. This model uses the coupling matrix to describe the conversion, storage and transmission relations between energy sources, which provides strong support for the planning and operation of multi-energy systems. With the development of the energy Internet, the importance of EH is becoming increasingly prominent. By the introduction of EH, the coordinated operation of power, natural gas, heat and other energy systems can be realized, and the flexibility and stability of the system can be improved. Current research focuses on stochastic optimization of energy systems and load optimization scheduling to cope with the uncertainties in energy prediction and price. However, user behavior and demand response still face challenges in energy system planning and scheduling. Future research needs to deeply explore the changes in user behavior and introduce demand response mechanisms to improve the accuracy and effectiveness of energy system planning and scheduling. In the future, the optimal scheduling of energy hub load will develop in the direction of intelligence, self-adaptability and multi-energy collaborative optimization. Using big data, cloud computing and other technologies to achieve higher levels of intelligence and adaptability, in-depth research on the collaborative optimization of various energy sources, to promote the efficient operation of the energy system and green and low-carbon development, to provide strong support for the sustainable development of the energy sector.
Human brain organoids combined with CRISPR technology to gain insight into neurological diseases
Authors: Yin He
Published: July 2024

As the most complex organ of human beings, the brain's functions cover various high-level intellectual activities such as cognition, language and thinking. These functions are closely related to the developmental processes in the cerebral cortex granted the composition structure of the nervous system in the cortex. Therefore, scientists have long been exploring the developmental processes of the cerebral cortex and the constituent structures of the nervous system, the purpose of the system is to deepen comprehend how the brain works. The study of neurological diseases by improving three-dimensional brain models is a hot issue at present, because the brain is very complex and fragile, and many therapies are weak and still theoretical. Brain organoids are a kind of three-dimensional tissue culture derived from human pluripotent stem cells (hPSCs), which can simulate the type composition, spatial structure, physiological function and other characteristics of human brain cells by culture in vitro. The use of brain organoid technology can simulate the development process of the brain in vitro, providing an unprecedented opportunity to study the occurrence of brain function and nervous system diseases, and combining CRISPR technology for screening, so that it can be further applied efficiently. This research will summarize the development process, progress and deficiency of brain organoids and the research situation of neurological diseases, and make a summary of the current development and prospect of the future development.
Research on Environmental Accounting Information Disclosure of Mining Enterprises in China under the Context of Carbon Neutrality
Authors: Xu Jialu
Published: July 2024

With the rapid development of the current economy, environmental and resource protection has received increasing attention, and the public’s demand for the quality of the living environment has also been continuously improving. In 2021, the goal of “carbon neutrality” was written into the government work report for the first time, and China stated that it will unswervingly achieve it. Under the background of carbon neutrality, the development of China’s economic entities will inevitably be affected [1]. One of the most direct and effective ways for enterprises to demonstrate the implementation of the country’s “dual carbon” strategy and the fulfillment of environmental obligations is to disclose environmental accounting information. Mining enterprises, as units under key monitoring, must fully and effectively disclose environmental accounting information [2]. Enterprises should disclose all data information transparently and include environmental accounting in the company’s accounting scope.
Research on the Impact of Tax Administration Digitalization Reform on the Quality of Government Audit: Empirical Evidence from the Golden Tax III Project
Authors: Tang Yuquan
Published: July 2024

Digital Conversion is an essential step towards tax administration reform, as it expands the methods of tax administration and enhances its efficiency. This text probes into the influence of tax governance digitalization reform on the quality of government audits, using the Golden Tax III Project in an almost natural setting. A double difference pattern is constructed for this purpose. The digitization reform of tax governance has been found to enhance the quality of government audit by increasing the diaphaneity of government fiscal message and tax revenues. However, the impact of this reform on the quality of government audit varies across provinces due to their different geographic locations. This paper proposes three suggestions. Firstly, enhance the execution endeavors of Golden Tax IV based on the Golden Tax III project. Secondly, use different policy measures for tax digitization reforms in provinces with varying geographic locations. Thirdly, improve tax legal system to increase the transparency of government financial information and tax revenues.
Application of CRISPR Technology in the Treatment of Phenylketonuria
Authors: Liu Bin
Published: July 2024

Phenylketonuria (PKU) is an autosomal recessive disorder caused by a pathogenic variant of the phenylalanine hydroxylase (PAH) gene. The pathogenic mechanism involves mutations in the PAH gene leading to the accumulation of phenylalanine (Phe) in the blood to neurotoxic levels, preventing patients from metabolizing phenylalanine normally and thereby affecting the development of the nervous system. Traditional treatment methods primarily consist of adhering to a strict low-phenylalanine diet to reduce the intake of phenylalanine from food, or employing gene therapy techniques to repair or replace the defective PAH gene. The emergence of CRISPR technology in recent years has opened new possibilities for treating genetic diseases, including PKU, especially in gene correction and disease model creation. Gene editing techniques, exemplified by CRISPR-Cas9, theoretically enable the direct modification or repair of defective PAH genes at the DNA level, and this approach holds promise for achieving more precise and permanent genetic repairs. This research begins by introducing the pathogenic mechanism of PKU from a genetic perspective, from the structure to the function of the PAH gene, analyzing the defects caused by its mutations, then discusses the potential of gene therapy using CRISPR technology to correct PAH gene mutations, highlighting new techniques such as prime editing and base editing. This research aims to summarize the current state of CRISPR technology applications in treating PKU, cataloging and evaluating various methods. It introduces new considerations based on existing research and looks forward to future research directions, thereby offering new potential treatments for PKU.
The Association Between Intestinal Flora and Lung Cancer and the Regulatory Role of Dietary Fiber
Authors: Wu Huizi
Published: July 2024

Lung cancer accounts for a large proportion of malignant tumor-related deaths. In recent years many studies have demonstrated that dysbiosis is associated with carcinoma of the lungs. Intestinal flora is one of the most complex and diverse microbial populations in the human body. The intestinal flora can maintain a dynamic balance under normal circumstances and has the functions of promoting metabolism and enhancing immunity. This mechanism is partly dependent on short-chain fatty acids (SCFA) produced by the gut microbiota. Dietary fiber provides nutrition for intestinal flora, regulates the diversity and richness of intestinal flora. It also occupies a dominate position in the prevention and treatment of certain diseases. When lung cancer-related microbiota is modulated by dietary fiber, they may have an influence on the lung cancer development. In this paper, the mechanism of intestinal flora and dietary fiber affecting the role of intestinal flora and dietary fiber in lung cancer, respectively, and the correlation between them were summarized.
A Review of Research on the Corporate Governance Effects of Financing and Securities Financing Systems
Authors: Da Mu Aa Gu
Published: July 2024

In today's complex and diverse environment, the financing and securities system has a unique effect on corporate governance. This paper will take a look at the financing and securities system, and examine whether corporate governance is greatly affected by financing and bonding and whether the financing and securities system can bring optimal decision-making to enterprises. Its effect on the enterprises is irreplaceable, as well as analyzing the relationship between various corporate governance and financing and securities from multiple perspectives. For example, analysts, major media, impact of investor sentiment, etc. on corporate governance. In this paper, the role of financing and financing on the company's performance, this is mainly due to the fact that CSR (corporate social responsibility) has a greater impact on investors, financing facilities influence corporate governance of firms by affecting CSR. So the study of the financing and securities system is of profound significance to corporate governance and related policy formulation.
Study on the Void Structure Deterioration in the Rutting Zone of Porous Asphalt Pavement under Traffic Load based on the Discrete Element Method
Authors: Gong Long
Published: July 2024

In order to study the effect of traffic load on the void structure in the rutting zone of porous asphalt pavement, a virtual pavement model was constructed using the discrete element software PFC2D. The virtual rutting test on the two-dimensional discrete element model was conducted based on the static load equivalence principle to investigate the impact of different factors on the void structure deterioration in the pavement rutting zone. The results indicate that the greater the load, the greater the degree of compressive deformation in the void structure of the rutting zone. The void structure is rapidly compressed at the initial stage of load application, and after a prolonged load application, the pavement reaches a stable state that is essentially incompressible. The bonding capacity of asphalt is stronger at lower temperatures, and as the environmental temperature continues to rise approaching the asphalt's softening point, the deterioration degree of the void structure becomes severe. When the initial void ratio of the specimen is kept at a low level, the overall deterioration degree of the voids in the rutting zone is small. In contrast, specimens with higher void ratios experience greater void structure deterioration after loading, but the residual void ratio after the application of load still remains at a high level.
Strategic Models for Enhancing Insurance Resilience in the Face of Climate-Induced Natural Disasters
Authors: Chen Yijia , Hu Kunpeng , Li Nan
Published: July 2024

As global climate change increases the frequency and intensity of natural disasters, the insurance industry faces significant challenges in risk management and policy affordability. This research develops three models to fortify the resilience of the insurance sector against the intensifying threats posed by climate-induced natural disasters. The Disaster-Affected Model quantifies the immediate impacts of diverse weather extremes, enabling precise risk assessments. The Insurance Bankruptcy Factor Model forecasts the financial sustainability of insurers, factoring in the frequency and severity of these events. The Underwriting Risk Prediction Model utilizes region-specific data to predict underwriting risks accurately, allowing for tailored insurance strategies. Together, these models enhance risk management, optimize underwriting practices, and ensure the financial stability of the insurance industry in a changing climate landscape, thereby promoting the sector's long-term sustainability.
The Impact of The Success of Midea Group's Digital Transformation on The Development of Enterprises
Authors: Huang Yawen , Zhao Dantong , Cao Yuhang
Published: July 2024

Accelerating the digital transformation of enterprises is the only way to achieve high-quality economic development under the new development pattern. With the advent of the digital age, the scientific and technological revolution and the industrial revolution have changed the pattern of world development and also brought earth-shaking changes to the development mode of enterprises. With the rapid development of mobile networks, cloud computing and AI, the intelligent transformation of traditional manufacturing has become an inevitable choice to comply with the development trend of The Times, and it is also a key measure to build a digital power. This paper makes a case study of Midea Group, explores the value of Midea Group's digital transformation to enterprises, provides powerful empirical evidence for enterprises to promote digital transformation, and expands relevant researches on enterprises' digital transformation.
Analysis On the Influence of Tea Brand Co-Branding Strategy on Tea Sales
Authors: Liang Yuqing , Liu Yuhan , Shi Yinan , Yong Hanxi
Published: July 2024

The paper is to study the influence of new tea industry co-branding on its beverage sales. This paper analyzes the joint branding of Nai Xue's tea and Lingya Tour as a positive case, studies the influence of tea brands on consumer behavior in recent years, and find the reasons behind the joint branding. At the same time, the joint name of Shanghai aunt and light and night love as a negative case of marketing, explore how to avoid a failed joint name, the reason for the failure of marketing. In order to better confirm the results of case analysis and consumers' true attitude towards co-branding, the author adopts the way of questionnaire survey for data statistics, and finally finds out how to plan a successful marketing. First, to create social conformity with the trend, tea brands should follow the trend when choosing a co-brand, and choose a brand co-name favored by young people. Second, fully respect IP, tea brands need to reflect the importance of joint brands. Third, do not fall into the cycle of innovation for innovation, and in line with their brand concept of product IP joint name. This article helps tea industries to better analyze consumers' behavior and decision-making when facing cross-border co-branded products, and to develop more effective marketing strategies for the consumers.
A Research of the Interest Rate’s Role in the Tech Sector
Authors: Lyu Junqiang
Published: July 2024

High-tech industry has always been the focus of the world. It not only accompanies the daily life but also plays an essential role in economy. In March 16th 2022, In response to looming inflation expectations, the Federal Reserve began raising interest rates. In order to observe the effect of raising rate on high-tech industry, this paper utilizes autoregressive integrated moving average (ARIMA) model to predict the short term value of the data set after the date of raising rate as if it never happens. ARIMA is one of the most popular model for analyzing time series data. It solely needs the historical data and utilizes the lagged moving average to smooth the time series data. By comparing the expected value and the real data, the impact of FED will be obvious. This paper tests the stereotype that raising rate could be destructive to an industry, and will only focuses on high-tech industry, more specifically, the telecommunication, Internet, and computer technology.
The Wheelchair Accessibility of Urban Bus: Physical and Social Aspects
Authors: Zhang Ruoyan
Published: July 2024

In this aging society, the number of wheelchair users is increasing. As an affordable travel mode for them, the urban bus, a universal public transportation, should pay more attention to its accessibility. This essay explores the multifaceted issues wheelchair users face in accessing urban bus transportation. Multiple studies highlight the current state of urban bus accessibility problems in various cities by categorizing them into physical and social barriers. For the physical barriers, the full experience of wheelchair users taking the bus is discussed separately including moving to and from bus stops, waiting on platforms, boarding and alighting the bus, and moving within the bus to the securement area. It is found that the most common accessible problems of the urban bus include the unfriendly built environment, the platform that lack of information and protection, steep ramps, narrow aisles, and unsafe securement areas. Social barriers such as indifferent attitudes from bus drivers and the general public further complicate mobility for wheelchair users. Recommendations are provided to improve both the physical infrastructure and the social environment including training of bus drivers, ergonomic design, stop renovation, and awareness campaigns, aiming to create a more inclusive and accessible urban bus system for wheelchair users.
Multi-objective Structural Optimization of Column based on Topology Optimization and NSGA-Ⅱ Algorithm
Authors: Li Chongqing
Published: July 2024

In order to realize the lightweight design of CNC machine tool and optimize the important structural columns in gantry structure, this paper proposes a combination of variable density topology optimization and multi-objective optimization based on NSGA-Ⅱ algorithm, which realizes the pursuit of lighter and better structure without changing the performance of the columns, and also puts forward suggestions and improvement directions for the subsequent optimization direction. A new theoretical basis for structural optimization is proposed.
Market Strategies and Development Analysis of Apple Inc
Authors: Zhang Zhaodong
Published: July 2024

Apple Inc. is one of the most successful multinationals and technological companies in the world. Its products especially the iPhone gained market shares worldwide not only because of their unique appearance and characteristics but also the cutting-edge technology application used on them. How can Apple stand in today’s market position can be explored comprehensively. This paper tries to find out the market situation of Apple through the analysis of Apple’s market and product development. Additionally, the potential advantages and disadvantages of Apple’s market strategies can also be figured out to demonstrate what contributes to Apple’s success. Apart from that the financial performance in different regions and the sales revenue from different products also be discussed to make some implications for both its competitors and Apple itself. Generally, it is obvious that although Apple has applied good market strategies, the difficulties and drawbacks it faces also negatively influence its development and financial performance.
Market Development Analysis of China's New Energy Vehicle Charging Pile
Authors: Sun Zhaoyong , Yin Hongli
Published: July 2024

With the popularity of new energy vehicles, the number of charging piles is growing rapidly, and charging technology is constantly improving, but the market is still in its initial stage, facing problems such as uneven distribution of charging piles, difficult construction, and non-uniform charging facilities. Therefore, this paper puts forward suggestions on improving rural charging network, unifying design and construction standards, and studying sustainable business models to promote the healthy development of the charging pile market. Looking forward to the future, the construction of a charging facility system of "smart slow filling + high-power fast power station" will become an important development trend of the new energy automobile industry and promote the sustainable development of the new energy automobile industry.
Analysis of Online Word-of-mouth of MIXUE Based on Python Web Crawler Technology
Authors: Wang Junjie , Zhuang Xuening , Wang Yifan , Shan Xudong , Zhu Yao
Published: July 2024

This paper adopts Python web crawler technology and takes Dianping as the data source to capture the representative store reviews of MIXUE brand in 10 cities, and obtains a total of 4741 review data. Through content analysis and thematic analysis, we study how consumers evaluate MIXUE's brands, products, services and marketing strategies. The study found that consumers have an overall positive attitude toward the MIXUE brand, believing that its products are affordable and taste good. The main motives of consumers are habitual purchase, passing purchase, summer thirst quenching and so on. MIXUE's IP image and theme song are deeply loved by consumers, effectively driving online traffic into offline traffic. The study suggests that MIXUE continue to enrich its product line, improve product quality, strengthen standardized management of chain stores, and optimize marketing strategies to better meet consumer needs.
Analysis and investment suggestion on the current situation of AH share premium
Authors: Li Haolin
Published: July 2024

Recently, the phenomenon of AH share premium has once again aroused widespread concern in the market, which refers to the difference in the prices of AH shares of companies listed in Hong Kong and the Mainland at the same time, usually due to differences in market liquidity, investor structure and regulatory environment. In recent years, with changes in the global economic environment and fluctuations in investor sentiment, the AH share premium phenomenon has become more and more obvious. This article provides an in-depth analysis of the current situation of AH share premium and its causes, and discusses the impact of AH share premium on Hong Kong stock investment. At present, the AH share premium phenomenon is still prevalent, and the main reasons for this premium include differences in market liquidity, different investor structures and differences in regulatory policies between the two markets. In terms of the international economic environment, global economic uncertainties and geopolitical risks have had a significant impact on the Hong Kong stock market. By analyzing the valuation data of Hong Kong stock indices, under the current market environment, investors should focus on companies with sound financial position and good growth prospects, and consider diversification to reduce risk. Based on the above analysis, it is recommended that investors should cautiously assess the potential risks arising from the AH share pre mium and formulate a reasonable investment strategy taking into account the international economic situation and the characteristics of the Hong Kong stock market when making investments in Hong Kong stocks. This will help realize sound investment returns in a complex and volatile market environment.
Violence Alleviation: Analyzing The Phenomenon of Child Labor in Mexico
Authors: Zhu Yingzhen
Published: July 2024

Child Labor protection in Mexico is a serious issue involving children's rights and social equity. Although the Mexican government has taken some steps to reduce child labor, the problem persists. According to surveys conducted by relevant government organizations, child Labor has negative impact on the right of Mexican children, who are often forced to perform dangerous work, affecting their physical and mental health and education. The Mexican government has made efforts in the aspects of finance, prevention and enforcement, and these efforts have produced some positive results, but some are also facing disputes.these are far from enough. This paper proposes four suggestions including improving the administrative supervision of child labor, improving the trial or prosecution of child labor issues, providing Mexican children with access to quality education and ensuring adequate funding for law enforcement and justice agencies to investigate. It must be pointed out  that only comprehensive policies and social engagement can effectively address the issue of child labor in Mexico and protect the rights and future of kids.
Analysis of the Optimization Effect of International Agricultural Trade on the Upgrading of China's Industrial Structure
Authors: Gong Sihan
Published: July 2024

This article will take the development and current situation of China's agricultural international trade as the starting point to analyze how agricultural international trade can promote the optimization and upgrading of China's industrial structure. At present, China's import and export of agricultural products are facing challenges, and the international agricultural market competition is fierce. China's agricultural import and export structure itself is facing the problem of imbalance, coupled with factors such as the epidemic and trade frictions, which have had a certain degree of impact on foreign trade. Especially under the trade friction between China and the United States, the imposition of tariffs has made agriculture one of the industries most affected. Labor-intensive exports with extensive growth are becoming increasingly less competitive in the international market. In this international situation, China should shift from a labor-intensive export structure to a capital and technology-intensive export structure. To achieve this transformation, technological progress and the optimization and upgrading of domestic industrial structures are very important steps.
Analysis of Apple Stock - Based on R
Authors: Yu Junjie , Sang Wenjia , Tang Yiqian
Published: July 2024

With the continuous development of China's economy, the stock market is becoming increasingly mature, and stocks play a crucial role in the economic life. The development and changes in stocks can measure the economic development of enterprises. Meanwhile, stock investment has become a means for people to obtain economic benefits. The development of stocks is closely related to economic development. The fluctuation of stock prices can reflect the implementation of national economic policies and also comprehensively reflect the living conditions of residents. With the continuous improvement of the stock market, accurately analyzing the trend of stock prices has become an important research topic. Accurate analysis of stock price changes is of great significance for the regulation of macroeconomic policies and making optimal choices for investors. The fluctuation of stock prices is a complex nonlinear dynamic process, and traditional linear models cannot accurately describe and analyze its development and changes. Time series models can effectively fit curve data, so they are of great importance in the analysis and description of stock price changes. In this study, we collected all trading days' stock data of Apple Inc. from January 1, 2021, to June 29, 2021, and used a time series model to analyze the changes in stock prices. In this paper, we first conducted a simple descriptive statistical analysis of the changes in Apple's stock prices and found that the price fluctuations of Apple's stock did not revolve around a specific value. Secondly, through the observation and preprocessing of stock prices, it was found that the sequence was non-stationary. This paper used the first-order difference method to achieve stationarity and fitted the data using the ARIMA model. For different parameters of the ARIMA model, the optimal model was determined based on the AIC criterion and the modified AIC coefficient. Furthermore, the abnormal values of the stock prices were processed, enabling effective prediction of the future trend of Apple's stock prices. Through research analysis, the conclusion drawn in this paper is that the price of Apple's stock is not only influenced by random factors but also significantly affected by the lagged 5-period stock prices. Overall, the trend of Apple's stock price changes is relatively stable.
A Review of Research on Bamboo Wood Composite Structures
Authors: Li Tao , Yi Junxiong , Jiang Junjie
Published: July 2024

As one of the industries most closely related to human social life, the construction industry is beginning to transform towards green buildings and intelligent construction in the context of the new era. Bamboo and wood, as natural biomass materials, have excellent mechanical properties and convenient material extraction, which will help them occupy a place in the future construction industry. The mechanical properties, bonding performance, and deformation performance of bamboo and wood materials are similar, and they can jointly bear forces under load, with consistent deformation. The combination of bamboo and wood provides an environmentally friendly choice for construction. By combining bamboo with excellent mechanical properties and rapidly growing economic tree species, bamboo wood composite materials can not only achieve better mechanical properties, but also effectively improve structural quality and achieve efficient utilization of green building materials. Therefore, this article combines the existing national conditions of green resources in China and the current research status of bamboo and wood structures.
Exploring the Design of Green Buildings Based on Building Intelligence
Authors: Zhao Jiaming
Published: July 2024

With the continuous development of the world and the continuous progress of science and technology, people's material living standards have made a great leap forward, and gradually realized the importance of the natural environment for human survival. In the context of the world gradually advocating carbon neutrality, architecture, as the most important activity place in human life, has become a crucial part. Traditional buildings with high pollution, high energy consumption, and high cost have been unable to meet people's needs for high-quality life. At the same time, people's demand for the aesthetics and comfort of buildings is also increasing. As an important means to protect the natural environment and maintain the ecology, the design and use of green buildings have become increasingly indispensable. Through a literature review, this paper compares the current status of traditional buildings with the development trend of green buildings in the future, summarizes the advantages and application scope of green buildings, and studies the materials of green buildings. To provide a reference for green building-related practitioners.
AI-Generated Content and Its Legal Status Under Copyright Law
Authors: LU Yuchen
Published: July 2024

As artificial intelligence (AI) has been developing at a staggering speed, arisen disputes and problems have showed how people perceive this with worries and uncertainties. Could AI-generated content be regarded as original works? Who is the author of such content? Could the regulation of AI-generated content fit into the already established system of copyright law? And will the empowerment of AI-generated content become threat to human-created works and author’s legitimate interests? There are multiple issues waiting to be solved. This article discusses AI-generated contents and its significant effects. It looks at how these development clarified the nature and extent of its copyrightability and authorship, which are two legal matters crucial to determining whether and how AI-generated works should be protected by copyright.From this analysis, the paper draws three conclusions: at first,for those content that are output through complex instructions and that are significantly different from the learning data sources, they could be regarded as original works from external forms. Secondly,It is premature to grant AI the status of a legal person at this point in time.And thirdly whether and under what circumstances should its copyright be granted, and who should be recognized as the author should be left to a case-by-case judgement.
Research On Reducing or Eliminating Body Effects in Amplifier Circuits
Authors: Zhang Hanxin
Published: July 2024

When designing common amplifier circuits, the body effect is a factor that cannot be ignored. The main impact of the body effect is to modulate the threshold voltage (Vth), thereby affecting the switching characteristics of the device. First, the analog device is introduced, and the structure of the analog device is analyzed. Then the basic principles of the volume effect are introduced. For the problem of body effect, effective solutions are proposed to optimize the working state of transistors and reduce or eliminate the body effect in amplifier circuits. This article aims to deeply explore how to effectively reduce or eliminate body effects in amplifier circuit design to improve circuit stability and performance. First, the article introduces the basic principles of body effect and then proposes a series of methods to eliminate body effect.
Rectal Cancer Tumor Image Segmentation Based on CNN Image Feature Recognition
Authors: Feng Jifu , Zhou Guangyin , Zhang Shengwei
Published: July 2024

Aiming at the problems of complex gray scale distribution, different local contrast, artifacts, and noise in CT images, this study proposes a new tumor segmentation method for rectal cancer, which employs a CNN model with a specific sequential input strategy to preprocess the images, and by comparing it with a random sequential input strategy, we demonstrate that the proposed method achieves a correctness rate of 70% in complex tumor slices. In addition to having a direct impact on the field of medical imaging, this research provides valuable insights and lessons learned for the wide application of deep learning in medical image processing.
Energy-saving Design of Heating Ventilating Air Conditioning for Tall Space Structures
Authors: Liu Tianyi , Liu Zimeng
Published: July 2024

For Tall Space Structures, its Energy-saving design of Heating Ventilating Air Conditioning (HVAC) is very important. This paper discusses the importance of environmental adaptability and selection of cold and heat source in HVAC design. The paper first emphasizes the close relationship between energy efficient design and environmental adaptability, pointing out that HVAC solutions should be optimized according to the climatic conditions of a particular geographical location. By improving the environmental adaptability of the system, energy consumption can be reduced while meeting the needs of climate change and seasonal change. This paper also introduces the application of new heat source systems, such as air source heat pump and energy saving cold source system. In addition, this paper also discusses the application of clean energy and green materials in HVAC design of high-rise buildings. These integrated application approaches contribute to achieving sustainable development goals, reducing reliance on traditional energy sources and providing a more comfortable tall space environment.
Research of Graphene in Wearable Sweat Sensors
Authors: Wang Jiaming
Published: July 2024

Wearable sweat sensors have shown significant development prospects in the field of healthcare and health monitoring in the era of excellent health with their advantages of convenient, real-time and non-invasive measurements, with functions such as providing personalized health services for different users. This paper demonstrates the basic structure and preparation of graphene, a two-dimensional (2D) crystalline material, as well as the application of different graphenes in wearable sweat sensors, such as the combination of laser-induced graphene with flexible printed circuit boards in the sensors, which utilizes the material's strong mechanical flexibility and improves the monitoring performance of the sensors to enable them to perform the detection of the concentration of ions, such as Na+ and K+, in sweat with good stability and selectivity. The sweat sensor cycle work process ion selection sensor will produce a water layer, affecting the sensor function; at this time, the 3D gradient porous graphene and the sensor combination, the use of material structure of the hydrophobicity, can improve the efficiency of the ion conduction to the electron, shorten the diffusion distance of the ion, effectively alleviate the problem of the formation of the water layer, and improve the stability and sensitivity of the sensor. The use of graphene in conjunction with wearable sweat sensors is currently a hot field, and this paper selectively discusses the basic structure and preparation of graphene, as well as the research progress of laser-induced graphene-based and 3D gradient porous graphene-based wearable sweat sensors.
Brand Marketing Strategy Based on Consumer Behavior--Taking POP MART as an Example
Authors: Zhou Haiyan
Published: July 2024

Brand marketing strategy is one of the key topics of research today. Researchers have found that brand marketing strategy influences consumers to engage in consumer behavior, however, there is a lack of a unified explanation on the issue of how brand marketing strategy affects the consumer behavior of specific social classes, social groups, and families. Therefore, the research topic of this paper is the relationship between brand marketing strategies and consumer behavior. The research methodology of this paper is as follows: from the perspective of consumers, the main consumers of POP MART are divided into three groups: urban white-collar workers, sophisticated mothers, and Generation Z. In this paper, buyers who have purchased bubble Mart blind boxes will be selected for interviews, and questionnaires will be issued to buyers of POP MART products. The content of the interview text and the results of the questionnaire will be sorted out and then analyzed. It is found that the diversification of IP categories and derivatives greatly enhances consumers' attachment to the brand. It allows consumers to have more choices, the right to participate, and enhances the interactivity between the company and the customers, and brings unique shopping experience to the customers. POP MART achieves the effect of brand dissemination through online and offline interactions, enhances the brand's popularity, and attracts more consumers. By establishing a connection with customers, POP MART enhances customers' awareness of the brand, creates more added value for customers, and then attracts them to buy goods or services.
The Application of BIM Technology in Prefabricated Buildings
Authors: Li Shuowei , Hong Chang
Published: July 2024

With the rapid advancement of digital technology, Building Information Modeling (BIM) has shown exceptional potential in the field of prefabricated construction. This study deeply integrates BIM technology with various stages of prefabricated building, including design, manufacturing, construction, and operation, to achieve information management throughout the entire lifecycle of construction projects. Based on an extensive literature review of the current development of BIM technology and analysis of practical cases both domestically and internationally, this research explores the application strategies of BIM in prefabricated construction. The findings indicate that using BIM technology for architectural design optimization helps ensure standardization and modularization of designs, thereby accelerating the production and construction processes of components. This paper aims to establish a lifecycle cost management model that leverages BIM to effectively control the overall budget, monitor project progress in real time, and reduce the risk of cost overruns. Promoting the standardized application of BIM technology in prefabricated construction and enhancing the modernization of the construction industry holds significant theoretical and practical value.
Research on Logistics Cargo Prediction Based on Machine Learning Methods
Authors: Gao Yisheng
Published: July 2024

Accurate prediction of cargo volume and reasonable arrangement of staff scheduling are crucial for improving the efficiency and punctuality of logistics transport. To address the problem of cargo volume prediction, this paper first conducts a visual analysis of the cargo volume data of sorting centres, and finds that the cargo volume of most sorting centres exhibits a rising trend of fluctuation over time. Then machine learning methods such as Random Forest and SVR are used to construct a prediction model by combining lagging features, trending features and periodic features. After model training and evaluation, the Random Forest model was finally selected to fit the prediction of the cargo volume of different sorting centres, and the rolling prediction strategy was used to ensure the timeliness and accuracy of the prediction results Improved accuracy of logistics cargo forecasting.
Neurodegenerative Diseases Treatment Based on CRISPR
Authors: Cui Hanwen , Zhong Zeyu
Published: July 2024

Parkinson's disease (PD) is a neurodegenerative disease that is difficult to study for humans. The etiology of induced diseases is closely related to genetics neuroinflammation, mitochondrial and lysosomal dysfunction, and synaptic transport problems. The early characteristics of Alzheimer's disease (AD) are cognitive decline, behavioral changes, and language deficits. Subsequently, the patient developed comprehensive amnesia and decreased motor function, with death typically occurring within 9 years after diagnosis. CRISPR Cas9 direct therapy has been used to repair pathogenic gene mutations and as a research object or carrier for disease simulation experiments. Neuroscientists want to edit target genes and their transcripts through CRISPR/Cas9. CRISPR technology can indirectly intervene in mitochondrial autophagy to determine the regulation of the etiology of PD. Targeted activation of SAM to produce dopamine (DA) to improve motor behavior in rats. It can also mediate the allele disruption of the Swedish APP used to suppress the initial symptoms of AD. And by weakening the app-β-splitting while enhancing apps with neuroprotective effects can reduce A β the generation and manipulation of starch protein pathways control AD. The Guangxi Bama miniature pig cultivated through CRISPR/Cas9 is expected to become a large-scale animal model for studying human neurological diseases. CRISPR technology can become a reliable tool for humans to solve mutated gene diseases.